| Table 1. Occupational Groups, Sample Size and Population Estimates by 13 Occupations | ||||
| Occupation 13 Classes | Group | Population Estimates | Sample Size | |
| All Workers | 126,637,408 | 153,393 | ||
| 0 | All Occupations | 1: Total | 126,637,408 | 153,393 |
| 0 | All Occupations | 2: Age 18-64 | 122,737,590 | 147,796 |
| 0 | All Occupations | 3: 65+ | 3,899,818 | 5,597 |
| 0 | All Occupations | 4: Male | 68,137,945 | 75,945 |
| 0 | All Occupations | 5: Female | 58,499,463 | 77,448 |
| 0 | All Occupations | 6: White | 105,181,902 | 122,741 |
| 0 | All Occupations | 7: Black | 13,785,259 | 20,623 |
| 0 | All Occupations | 8: Other | 7,670,246 | 10,029 |
| 0 | All Occupations | 9: Hispanic | 14,025,436 | 25,814 |
| 0 | All Occupations | 10: NonHispanic | 112,926,553 | 127,895 |
| 0 | All Occupations | 11: Insured | 19,245,636 | 26,274 |
| 0 | All Occupations | 12: NonInsured | 107,077,190 | 126,803 |
| 1 | Executive, administrative managerial | 1: Total | 18,316,186 | 21,735 |
| 1 | Executive, administrative managerial | 2: Age 18-64 | 17,781,592 | 21,003 |
| 1 | Executive, administrative managerial | 3: 65+ | 534,594 | 732 |
| 1 | Executive, administrative managerial | 4: Male | 9,902,196 | 10,644 |
| 1 | Executive, administrative managerial | 5: Female | 8,413,990 | 11,091 |
| 1 | Executive, administrative managerial | 6: White | 16,019,784 | 18,363 |
| 1 | Executive, administrative managerial | 7: Black | 1,441,194 | 2,270 |
| 1 | Executive, administrative managerial | 8: Other | 855,207 | 1,102 |
| 1 | Executive, administrative managerial | 9: Hispanic | 1,164,676 | 2,107 |
| 1 | Executive, administrative managerial | 10: NonHispanic | 17,180,576 | 19,659 |
| 1 | Executive, administrative managerial | 11: Insured | 1,299,101 | 1,762 |
| 1 | Executive, administrative managerial | 12: NonInsured | 16,988,018 | 19,942 |
| 2 | Professional specialty | 1: Total | 21,309,305 | 25,602 |
| 2 | Professional specialty | 2: Age 18-64 | 20,727,082 | 24,773 |
| 2 | Professional specialty | 3: 65+ | 582,224 | 829 |
| 2 | Professional specialty | 4: Male | 9,831,153 | 10,855 |
| 2 | Professional specialty | 5: Female | 11,478,153 | 14,747 |
| 2 | Professional specialty | 6: White | 18,128,810 | 21,122 |
| 2 | Professional specialty | 7: Black | 1,764,800 | 2,798 |
| 2 | Professional specialty | 8: Other | 1,415,696 | 1,682 |
| 2 | Professional specialty | 9: Hispanic | 1,077,619 | 2,012 |
| 2 | Professional specialty | 10: NonHispanic | 20,265,601 | 23,623 |
| 2 | Professional specialty | 11: Insured | 1,189,299 | 1,685 |
| 2 | Professional specialty | 12: NonInsured | 20,086,092 | 23,884 |
| 3 | Technicians/related support | 1: Total | 4,498,438 | 5,428 |
| 3 | Technicians/related support | 2: Age 18-64 | 4,444,935 | 5,347 |
| 3 | Technicians/related support | 3: 65+ | 53,503 | 81 |
| 3 | Technicians/related support | 4: Male | 2,175,485 | 2,410 |
| 3 | Technicians/related support | 5: Female | 2,322,953 | 3,018 |
| 3 | Technicians/related support | 6: White | 3,706,019 | 4,316 |
| 3 | Technicians/related support | 7: Black | 428,408 | 680 |
| 3 | Technicians/related support | 8: Other | 364,010 | 432 |
| 3 | Technicians/related support | 9: Hispanic | 313,151 | 602 |
| 3 | Technicians/related support | 10: NonHispanic | 4,193,993 | 4,836 |
| 3 | Technicians/related support | 11: Insured | 284,670 | 406 |
| 3 | Technicians/related support | 12: NonInsured | 4,205,061 | 5,012 |
| 4 | Sales | 1: Total | 14,193,709 | 16,535 |
| 4 | Sales | 2: Age 18-64 | 13,587,411 | 15,695 |
| 4 | Sales | 3: 65+ | 606,297 | 840 |
| 4 | Sales | 4: Male | 7,285,390 | 7,722 |
| 4 | Sales | 5: Female | 6,908,319 | 8,813 |
| 4 | Sales | 6: White | 12,196,113 | 13,849 |
| 4 | Sales | 7: Black | 1,181,435 | 1,687 |
| 4 | Sales | 8: Other | 816,161 | 999 |
| 4 | Sales | 9: Hispanic | 1,246,760 | 2,312 |
| 4 | Sales | 10: NonHispanic | 12,983,372 | 14,260 |
| 4 | Sales | 11: Insured | 2,234,402 | 2,886 |
| 4 | Sales | 12: NonInsured | 11,922,883 | 13,612 |
| 5 | Administrative support occs, including clerical | 1: Total | 17,314,690 | 21,907 |
| 5 | Administrative support occs, including clerical | 2: Age 18-64 | 16,759,898 | 21,060 |
| 5 | Administrative support occs, including clerical | 3: 65+ | 554,793 | 847 |
| 5 | Administrative support occs, including clerical | 4: Male | 3,939,725 | 4,487 |
| 5 | Administrative support occs, including clerical | 5: Female | 13,374,965 | 17,420 |
| 5 | Administrative support occs, including clerical | 6: White | 14,103,115 | 17,037 |
| 5 | Administrative support occs, including clerical | 7: Black | 2,309,853 | 3,592 |
| 5 | Administrative support occs, including clerical | 8: Other | 901,722 | 1,278 |
| 5 | Administrative support occs, including clerical | 9: Hispanic | 1,647,508 | 3,311 |
| 5 | Administrative support occs, including clerical | 10: NonHispanic | 15,701,274 | 18,636 |
| 5 | Administrative support occs, including clerical | 11: Insured | 1,588,708 | 2,233 |
| 5 | Administrative support occs, including clerical | 12: NonInsured | 15,691,891 | 19,634 |
| 6 | Private household | 1: Total | 684,973 | 1,057 |
| 6 | Private household | 2: Age 18-64 | 628,368 | 950 |
| 6 | Private household | 3: 65+ | 56,605 | 107 |
| 6 | Private household | 4: Male | 35,450 | 42 |
| 6 | Private household | 5: Female | 649,523 | 1,015 |
| 6 | Private household | 6: White | 525,066 | 790 |
| 6 | Private household | 7: Black | 85,868 | 149 |
| 6 | Private household | 8: Other | 74,039 | 118 |
| 6 | Private household | 9: Hispanic | 227,933 | 494 |
| 6 | Private household | 10: NonHispanic | 460,875 | 567 |
| 6 | Private household | 11: Insured | 310,784 | 559 |
| 6 | Private household | 12: NonInsured | 370,353 | 494 |
| 7 | Protective service | 1: Total | 2,401,152 | 2,866 |
| 7 | Protective service | 2: Age 18-64 | 2,300,669 | 2,732 |
| 7 | Protective service | 3: 65+ | 100,483 | 134 |
| 7 | Protective service | 4: Male | 1,917,236 | 2,164 |
| 7 | Protective service | 5: Female | 483,916 | 702 |
| 7 | Protective service | 6: White | 1,793,543 | 2,040 |
| 7 | Protective service | 7: Black | 458,230 | 645 |
| 7 | Protective service | 8: Other | 149,379 | 181 |
| 7 | Protective service | 9: Hispanic | 229,928 | 427 |
| 7 | Protective service | 10: NonHispanic | 2,174,718 | 2,443 |
| 7 | Protective service | 11: Insured | 227,502 | 325 |
| 7 | Protective service | 12: NonInsured | 2,170,156 | 2,537 |
| 8 | Service occs, except protective/household | 1: Total | 13,821,589 | 18,250 |
| 8 | Service occs, except protective/household | 2: Age 18-64 | 13,342,919 | 17,457 |
| 8 | Service occs, except protective/household | 3: 65+ | 478,670 | 793 |
| 8 | Service occs, except protective/household | 4: Male | 4,623,644 | 5,481 |
| 8 | Service occs, except protective/household | 5: Female | 9,197,945 | 12,769 |
| 8 | Service occs, except protective/household | 6: White | 10,308,336 | 12,948 |
| 8 | Service occs, except protective/household | 7: Black | 2,436,327 | 3,804 |
| 8 | Service occs, except protective/household | 8: Other | 1,076,926 | 1,498 |
| 8 | Service occs, except protective/household | 9: Hispanic | 2,291,819 | 4,420 |
| 8 | Service occs, except protective/household | 10: NonHispanic | 11,585,809 | 13,879 |
| 8 | Service occs, except protective/household | 11: Insured | 4,163,005 | 5,889 |
| 8 | Service occs, except protective/household | 12: NonInsured | 9,602,546 | 12,312 |
| 9 | Farming, forestry, fishing | 1: Total | 2,978,712 | 3,745 |
| 9 | Farming, forestry, fishing | 2: Age 18-64 | 2,774,677 | 3,470 |
| 9 | Farming, forestry, fishing | 3: 65+ | 204,035 | 275 |
| 9 | Farming, forestry, fishing | 4: Male | 2,464,379 | 3,062 |
| 9 | Farming, forestry, fishing | 5: Female | 514,333 | 683 |
| 9 | Farming, forestry, fishing | 6: White | 2,686,450 | 3,280 |
| 9 | Farming, forestry, fishing | 7: Black | 141,743 | 215 |
| 9 | Farming, forestry, fishing | 8: Other | 150,519 | 250 |
| 9 | Farming, forestry, fishing | 9: Hispanic | 758,495 | 1,357 |
| 9 | Farming, forestry, fishing | 10: NonHispanic | 2,233,314 | 2,402 |
| 9 | Farming, forestry, fishing | 11: Insured | 1,041,197 | 1,496 |
| 9 | Farming, forestry, fishing | 12: NonInsured | 1,924,418 | 2,235 |
| 10 | Precision production, craft, repair | 1: Total | 13,852,112 | 15,671 |
| 10 | Precision production, craft, repair | 2: Age 18-64 | 13,601,919 | 15,351 |
| 10 | Precision production, craft, repair | 3: 65+ | 250,194 | 320 |
| 10 | Precision production, craft, repair | 4: Male | 12,686,741 | 14,097 |
| 10 | Precision production, craft, repair | 5: Female | 1,165,371 | 1,574 |
| 10 | Precision production, craft, repair | 6: White | 12,045,712 | 13,313 |
| 10 | Precision production, craft, repair | 7: Black | 1,083,718 | 1,418 |
| 10 | Precision production, craft, repair | 8: Other | 722,683 | 940 |
| 10 | Precision production, craft, repair | 9: Hispanic | 2,010,723 | 3,409 |
| 10 | Precision production, craft, repair | 10: NonHispanic | 11,878,422 | 12,297 |
| 10 | Precision production, craft, repair | 11: Insured | 3,147,229 | 4,030 |
| 10 | Precision production, craft, repair | 12: NonInsured | 10,667,849 | 11,606 |
| 11 | Machine operators, assemblers, inspectors | 1: Total | 7,016,900 | 8,684 |
| 11 | Machine operators, assemblers, inspectors | 2: Age 18-64 | 6,906,692 | 8,525 |
| 11 | Machine operators, assemblers, inspectors | 3: 65+ | 110,208 | 159 |
| 11 | Machine operators, assemblers, inspectors | 4: Male | 4,545,801 | 5,157 |
| 11 | Machine operators, assemblers, inspectors | 5: Female | 2,471,099 | 3,527 |
| 11 | Machine operators, assemblers, inspectors | 6: White | 5,556,796 | 6,611 |
| 11 | Machine operators, assemblers, inspectors | 7: Black | 924,801 | 1,348 |
| 11 | Machine operators, assemblers, inspectors | 8: Other | 535,303 | 725 |
| 11 | Machine operators, assemblers, inspectors | 9: Hispanic | 1,299,761 | 2,402 |
| 11 | Machine operators, assemblers, inspectors | 10: NonHispanic | 5,728,440 | 6,296 |
| 11 | Machine operators, assemblers, inspectors | 11: Insured | 1,227,697 | 1,739 |
| 11 | Machine operators, assemblers, inspectors | 12: NonInsured | 5,777,901 | 6,931 |
| 12 | Transportation/ material moving | 1: Total | 5,361,201 | 6,182 |
| 12 | Transportation/ material moving | 2: Age 18-64 | 5,123,886 | 5,877 |
| 12 | Transportation/ material moving | 3: 65+ | 237,315 | 305 |
| 12 | Transportation/ material moving | 4: Male | 4,776,773 | 5,382 |
| 12 | Transportation/ material moving | 5: Female | 584,428 | 800 |
| 12 | Transportation/ material moving | 6: White | 4,324,509 | 4,757 |
| 12 | Transportation/ material moving | 7: Black | 780,579 | 1,074 |
| 12 | Transportation/ material moving | 8: Other | 256,114 | 351 |
| 12 | Transportation/ material moving | 9: Hispanic | 693,508 | 1,184 |
| 12 | Transportation/ material moving | 10: NonHispanic | 4,691,782 | 5,019 |
| 12 | Transportation/ material moving | 11: Insured | 1,053,439 | 1,342 |
| 12 | Transportation/ material moving | 12: NonInsured | 4,283,673 | 4,819 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 1: Total | 4,888,443 | 5,731 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 2: Age 18-64 | 4,757,543 | 5,556 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 3: 65+ | 130,900 | 175 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 4: Male | 3,953,974 | 4,442 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 5: Female | 934,469 | 1,289 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 6: White | 3,787,650 | 4,315 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 7: Black | 748,304 | 943 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 8: Other | 352,489 | 473 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 9: Hispanic | 1,063,557 | 1,777 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 10: NonHispanic | 3,848,376 | 3,978 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 11: Insured | 1,478,603 | 1,922 |
| 13 | Handlers, equipment cleaners, helpers, laborers | 12: NonInsured | 3,386,350 | 3,785 |