abhishek/autotrain-adult-census-xgboost
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| age (int64) | workclass (string) | fnlwgt (int64) | education (string) | education.num (int64) | marital.status (string) | occupation (string) | relationship (string) | race (string) | sex (string) | capital.gain (int64) | capital.loss (int64) | hours.per.week (int64) | native.country (string) | income (string) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
90
| "?"
| 77,053
| "HS-grad"
| 9
| "Widowed"
| "?"
| "Not-in-family"
| "White"
| "Female"
| 0
| 4,356
| 40
| "United-States"
| "<=50K"
|
82
| "Private"
| 132,870
| "HS-grad"
| 9
| "Widowed"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Female"
| 0
| 4,356
| 18
| "United-States"
| "<=50K"
|
66
| "?"
| 186,061
| "Some-college"
| 10
| "Widowed"
| "?"
| "Unmarried"
| "Black"
| "Female"
| 0
| 4,356
| 40
| "United-States"
| "<=50K"
|
54
| "Private"
| 140,359
| "7th-8th"
| 4
| "Divorced"
| "Machine-op-inspct"
| "Unmarried"
| "White"
| "Female"
| 0
| 3,900
| 40
| "United-States"
| "<=50K"
|
41
| "Private"
| 264,663
| "Some-college"
| 10
| "Separated"
| "Prof-specialty"
| "Own-child"
| "White"
| "Female"
| 0
| 3,900
| 40
| "United-States"
| "<=50K"
|
34
| "Private"
| 216,864
| "HS-grad"
| 9
| "Divorced"
| "Other-service"
| "Unmarried"
| "White"
| "Female"
| 0
| 3,770
| 45
| "United-States"
| "<=50K"
|
38
| "Private"
| 150,601
| "10th"
| 6
| "Separated"
| "Adm-clerical"
| "Unmarried"
| "White"
| "Male"
| 0
| 3,770
| 40
| "United-States"
| "<=50K"
|
74
| "State-gov"
| 88,638
| "Doctorate"
| 16
| "Never-married"
| "Prof-specialty"
| "Other-relative"
| "White"
| "Female"
| 0
| 3,683
| 20
| "United-States"
| ">50K"
|
68
| "Federal-gov"
| 422,013
| "HS-grad"
| 9
| "Divorced"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Female"
| 0
| 3,683
| 40
| "United-States"
| "<=50K"
|
41
| "Private"
| 70,037
| "Some-college"
| 10
| "Never-married"
| "Craft-repair"
| "Unmarried"
| "White"
| "Male"
| 0
| 3,004
| 60
| "?"
| ">50K"
|
45
| "Private"
| 172,274
| "Doctorate"
| 16
| "Divorced"
| "Prof-specialty"
| "Unmarried"
| "Black"
| "Female"
| 0
| 3,004
| 35
| "United-States"
| ">50K"
|
38
| "Self-emp-not-inc"
| 164,526
| "Prof-school"
| 15
| "Never-married"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 45
| "United-States"
| ">50K"
|
52
| "Private"
| 129,177
| "Bachelors"
| 13
| "Widowed"
| "Other-service"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,824
| 20
| "United-States"
| ">50K"
|
32
| "Private"
| 136,204
| "Masters"
| 14
| "Separated"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 55
| "United-States"
| ">50K"
|
51
| "?"
| 172,175
| "Doctorate"
| 16
| "Never-married"
| "?"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 40
| "United-States"
| ">50K"
|
46
| "Private"
| 45,363
| "Prof-school"
| 15
| "Divorced"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 40
| "United-States"
| ">50K"
|
45
| "Private"
| 172,822
| "11th"
| 7
| "Divorced"
| "Transport-moving"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 76
| "United-States"
| ">50K"
|
57
| "Private"
| 317,847
| "Masters"
| 14
| "Divorced"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 50
| "United-States"
| ">50K"
|
22
| "Private"
| 119,592
| "Assoc-acdm"
| 12
| "Never-married"
| "Handlers-cleaners"
| "Not-in-family"
| "Black"
| "Male"
| 0
| 2,824
| 40
| "?"
| ">50K"
|
34
| "Private"
| 203,034
| "Bachelors"
| 13
| "Separated"
| "Sales"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 50
| "United-States"
| ">50K"
|
37
| "Private"
| 188,774
| "Bachelors"
| 13
| "Never-married"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,824
| 40
| "United-States"
| ">50K"
|
29
| "Private"
| 77,009
| "11th"
| 7
| "Separated"
| "Sales"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,754
| 42
| "United-States"
| "<=50K"
|
61
| "Private"
| 29,059
| "HS-grad"
| 9
| "Divorced"
| "Sales"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,754
| 25
| "United-States"
| "<=50K"
|
51
| "Private"
| 153,870
| "Some-college"
| 10
| "Married-civ-spouse"
| "Transport-moving"
| "Husband"
| "White"
| "Male"
| 0
| 2,603
| 40
| "United-States"
| "<=50K"
|
61
| "?"
| 135,285
| "HS-grad"
| 9
| "Married-civ-spouse"
| "?"
| "Husband"
| "White"
| "Male"
| 0
| 2,603
| 32
| "United-States"
| "<=50K"
|
21
| "Private"
| 34,310
| "Assoc-voc"
| 11
| "Married-civ-spouse"
| "Craft-repair"
| "Husband"
| "White"
| "Male"
| 0
| 2,603
| 40
| "United-States"
| "<=50K"
|
33
| "Private"
| 228,696
| "1st-4th"
| 2
| "Married-civ-spouse"
| "Craft-repair"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,603
| 32
| "Mexico"
| "<=50K"
|
49
| "Private"
| 122,066
| "5th-6th"
| 3
| "Married-civ-spouse"
| "Other-service"
| "Husband"
| "White"
| "Male"
| 0
| 2,603
| 40
| "Greece"
| "<=50K"
|
37
| "Self-emp-inc"
| 107,164
| "10th"
| 6
| "Never-married"
| "Transport-moving"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 50
| "United-States"
| ">50K"
|
38
| "Private"
| 175,360
| "10th"
| 6
| "Never-married"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 90
| "United-States"
| ">50K"
|
23
| "Private"
| 44,064
| "Some-college"
| 10
| "Separated"
| "Other-service"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 40
| "United-States"
| ">50K"
|
59
| "Self-emp-inc"
| 107,287
| "10th"
| 6
| "Widowed"
| "Exec-managerial"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,559
| 50
| "United-States"
| ">50K"
|
52
| "Private"
| 198,863
| "Prof-school"
| 15
| "Divorced"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 60
| "United-States"
| ">50K"
|
51
| "Private"
| 123,011
| "Bachelors"
| 13
| "Divorced"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 50
| "United-States"
| ">50K"
|
60
| "Self-emp-not-inc"
| 205,246
| "HS-grad"
| 9
| "Never-married"
| "Exec-managerial"
| "Not-in-family"
| "Black"
| "Male"
| 0
| 2,559
| 50
| "United-States"
| ">50K"
|
63
| "Federal-gov"
| 39,181
| "Doctorate"
| 16
| "Divorced"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,559
| 60
| "United-States"
| ">50K"
|
53
| "Private"
| 149,650
| "HS-grad"
| 9
| "Never-married"
| "Sales"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,559
| 48
| "United-States"
| ">50K"
|
51
| "Private"
| 197,163
| "Prof-school"
| 15
| "Never-married"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,559
| 50
| "United-States"
| ">50K"
|
37
| "Self-emp-not-inc"
| 137,527
| "Doctorate"
| 16
| "Never-married"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,559
| 60
| "United-States"
| ">50K"
|
54
| "Private"
| 161,691
| "Masters"
| 14
| "Divorced"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,559
| 40
| "United-States"
| ">50K"
|
44
| "Private"
| 326,232
| "Bachelors"
| 13
| "Divorced"
| "Exec-managerial"
| "Unmarried"
| "White"
| "Male"
| 0
| 2,547
| 50
| "United-States"
| ">50K"
|
43
| "Private"
| 115,806
| "Masters"
| 14
| "Divorced"
| "Exec-managerial"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,547
| 40
| "United-States"
| ">50K"
|
51
| "Private"
| 115,066
| "Some-college"
| 10
| "Divorced"
| "Adm-clerical"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,547
| 40
| "United-States"
| ">50K"
|
43
| "Private"
| 289,669
| "Masters"
| 14
| "Divorced"
| "Prof-specialty"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,547
| 40
| "United-States"
| ">50K"
|
71
| "?"
| 100,820
| "HS-grad"
| 9
| "Married-civ-spouse"
| "?"
| "Husband"
| "White"
| "Male"
| 0
| 2,489
| 15
| "United-States"
| "<=50K"
|
48
| "Private"
| 121,253
| "Bachelors"
| 13
| "Married-spouse-absent"
| "Sales"
| "Unmarried"
| "White"
| "Female"
| 0
| 2,472
| 70
| "United-States"
| ">50K"
|
71
| "Private"
| 110,380
| "HS-grad"
| 9
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,467
| 52
| "United-States"
| "<=50K"
|
73
| "Self-emp-not-inc"
| 233,882
| "HS-grad"
| 9
| "Married-civ-spouse"
| "Farming-fishing"
| "Husband"
| "Asian-Pac-Islander"
| "Male"
| 0
| 2,457
| 40
| "Vietnam"
| "<=50K"
|
68
| "?"
| 192,052
| "Some-college"
| 10
| "Married-civ-spouse"
| "?"
| "Wife"
| "White"
| "Female"
| 0
| 2,457
| 40
| "United-States"
| "<=50K"
|
67
| "?"
| 174,995
| "Some-college"
| 10
| "Married-civ-spouse"
| "?"
| "Husband"
| "White"
| "Male"
| 0
| 2,457
| 40
| "United-States"
| "<=50K"
|
40
| "Self-emp-not-inc"
| 335,549
| "Prof-school"
| 15
| "Never-married"
| "Prof-specialty"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 45
| "United-States"
| ">50K"
|
50
| "Private"
| 237,729
| "HS-grad"
| 9
| "Widowed"
| "Sales"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,444
| 72
| "United-States"
| ">50K"
|
51
| "State-gov"
| 68,898
| "Assoc-voc"
| 11
| "Divorced"
| "Tech-support"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 39
| "United-States"
| ">50K"
|
42
| "Private"
| 107,276
| "Some-college"
| 10
| "Never-married"
| "Exec-managerial"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,444
| 40
| "United-States"
| ">50K"
|
39
| "Private"
| 141,584
| "Masters"
| 14
| "Never-married"
| "Sales"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 45
| "United-States"
| ">50K"
|
32
| "Private"
| 207,668
| "Bachelors"
| 13
| "Never-married"
| "Exec-managerial"
| "Other-relative"
| "White"
| "Male"
| 0
| 2,444
| 50
| "United-States"
| ">50K"
|
53
| "Private"
| 313,243
| "Some-college"
| 10
| "Separated"
| "Craft-repair"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 45
| "United-States"
| ">50K"
|
40
| "Local-gov"
| 147,372
| "Some-college"
| 10
| "Never-married"
| "Protective-serv"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 40
| "United-States"
| ">50K"
|
38
| "Private"
| 237,608
| "Bachelors"
| 13
| "Never-married"
| "Sales"
| "Not-in-family"
| "White"
| "Female"
| 0
| 2,444
| 45
| "United-States"
| ">50K"
|
33
| "Private"
| 194,901
| "Assoc-voc"
| 11
| "Separated"
| "Craft-repair"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 42
| "United-States"
| ">50K"
|
43
| "Private"
| 155,106
| "Assoc-acdm"
| 12
| "Divorced"
| "Craft-repair"
| "Not-in-family"
| "White"
| "Male"
| 0
| 2,444
| 70
| "United-States"
| ">50K"
|
50
| "Self-emp-inc"
| 121,441
| "11th"
| 7
| "Never-married"
| "Exec-managerial"
| "Other-relative"
| "White"
| "Male"
| 0
| 2,444
| 40
| "United-States"
| ">50K"
|
44
| "Private"
| 162,028
| "Some-college"
| 10
| "Married-civ-spouse"
| "Adm-clerical"
| "Wife"
| "White"
| "Female"
| 0
| 2,415
| 6
| "United-States"
| ">50K"
|
51
| "Self-emp-not-inc"
| 160,724
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "Asian-Pac-Islander"
| "Male"
| 0
| 2,415
| 40
| "China"
| ">50K"
|
41
| "Private"
| 132,222
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 40
| "United-States"
| ">50K"
|
60
| "Self-emp-inc"
| 226,355
| "Assoc-voc"
| 11
| "Married-civ-spouse"
| "Machine-op-inspct"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 70
| "?"
| ">50K"
|
37
| "Private"
| 329,980
| "Masters"
| 14
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 60
| "United-States"
| ">50K"
|
55
| "Self-emp-inc"
| 124,137
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 35
| "Greece"
| ">50K"
|
39
| "Self-emp-inc"
| 329,980
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 60
| "United-States"
| ">50K"
|
42
| "Self-emp-inc"
| 187,702
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 60
| "United-States"
| ">50K"
|
49
| "Private"
| 199,029
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 55
| "United-States"
| ">50K"
|
47
| "Self-emp-not-inc"
| 145,290
| "HS-grad"
| 9
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "United-States"
| ">50K"
|
41
| "Local-gov"
| 297,248
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 45
| "United-States"
| ">50K"
|
55
| "Self-emp-inc"
| 227,856
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "United-States"
| ">50K"
|
39
| "Private"
| 179,731
| "Masters"
| 14
| "Married-civ-spouse"
| "Exec-managerial"
| "Wife"
| "White"
| "Female"
| 0
| 2,415
| 65
| "United-States"
| ">50K"
|
42
| "Private"
| 154,374
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 60
| "United-States"
| ">50K"
|
41
| "?"
| 27,187
| "Assoc-voc"
| 11
| "Married-civ-spouse"
| "?"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 12
| "United-States"
| ">50K"
|
46
| "Private"
| 326,857
| "Masters"
| 14
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 65
| "United-States"
| ">50K"
|
40
| "Private"
| 160,369
| "Masters"
| 14
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 45
| "United-States"
| ">50K"
|
32
| "Private"
| 396,745
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 48
| "United-States"
| ">50K"
|
41
| "Self-emp-inc"
| 151,089
| "Some-college"
| 10
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 55
| "United-States"
| ">50K"
|
60
| "Self-emp-inc"
| 336,188
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 80
| "United-States"
| ">50K"
|
31
| "Private"
| 279,015
| "Masters"
| 14
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 70
| "Taiwan"
| ">50K"
|
58
| "Self-emp-not-inc"
| 43,221
| "Some-college"
| 10
| "Married-civ-spouse"
| "Farming-fishing"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 40
| "United-States"
| ">50K"
|
37
| "Self-emp-inc"
| 30,529
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "United-States"
| ">50K"
|
44
| "Self-emp-not-inc"
| 201,742
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "United-States"
| ">50K"
|
39
| "Self-emp-not-inc"
| 218,490
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "?"
| ">50K"
|
43
| "Federal-gov"
| 156,996
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "Asian-Pac-Islander"
| "Male"
| 0
| 2,415
| 55
| "?"
| ">50K"
|
55
| "Self-emp-inc"
| 298,449
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Exec-managerial"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 50
| "United-States"
| ">50K"
|
44
| "Self-emp-inc"
| 191,712
| "Masters"
| 14
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 55
| "United-States"
| ">50K"
|
39
| "Private"
| 198,654
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "Asian-Pac-Islander"
| "Male"
| 0
| 2,415
| 67
| "India"
| ">50K"
|
46
| "Self-emp-not-inc"
| 102,308
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 40
| "United-States"
| ">50K"
|
39
| "Private"
| 348,521
| "Some-college"
| 10
| "Married-civ-spouse"
| "Farming-fishing"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 99
| "United-States"
| ">50K"
|
62
| "Self-emp-inc"
| 56,248
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Farming-fishing"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 60
| "United-States"
| ">50K"
|
31
| "Self-emp-not-inc"
| 252,752
| "HS-grad"
| 9
| "Married-civ-spouse"
| "Other-service"
| "Wife"
| "White"
| "Female"
| 0
| 2,415
| 40
| "United-States"
| ">50K"
|
46
| "Private"
| 192,963
| "Bachelors"
| 13
| "Married-civ-spouse"
| "Adm-clerical"
| "Husband"
| "Asian-Pac-Islander"
| "Male"
| 0
| 2,415
| 35
| "Philippines"
| ">50K"
|
46
| "Self-emp-not-inc"
| 198,759
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 80
| "United-States"
| ">50K"
|
39
| "Self-emp-inc"
| 143,123
| "Assoc-voc"
| 11
| "Married-civ-spouse"
| "Craft-repair"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 40
| "United-States"
| ">50K"
|
39
| "Private"
| 237,713
| "Prof-school"
| 15
| "Married-civ-spouse"
| "Sales"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 99
| "United-States"
| ">50K"
|
59
| "Private"
| 81,929
| "Doctorate"
| 16
| "Married-civ-spouse"
| "Prof-specialty"
| "Husband"
| "White"
| "Male"
| 0
| 2,415
| 45
| "United-States"
| ">50K"
|
End of preview (truncated to 100
rows)
Adult Census Income Dataset
The following was retrieved from UCI machine learning repository.
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1) && (HRSWK>0)). The prediction task is to determine whether a person makes over $50K a year.
Description of fnlwgt (final weight)
The weights on the Current Population Survey (CPS) files are controlled to independent estimates of the civilian noninstitutional population of the US. These are prepared monthly for us by Population Division here at the Census Bureau. We use 3 sets of controls. These are:
- A single cell estimate of the population 16+ for each state.
- Controls for Hispanic Origin by age and sex.
- Controls by Race, age and sex.
We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used. The term estimate refers to population totals derived from CPS by creating "weighted tallies" of any specified socio-economic characteristics of the population. People with similar demographic characteristics should have similar weights. There is one important caveat to remember about this statement. That is that since the CPS sample is actually a collection of 51 state samples, each with its own probability of selection, the statement only applies within state.
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