| Table 1. Occupational Groups, Sample Size and Population Estimates by 41 Occupations | ||||
| Occupation 41 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 | Officials and administrators public admin | 1: Total | 776,174 | 964 |
| 1 | Officials and administrators public admin | 2: Age 18-64 | 744,718 | 918 |
| 1 | Officials and administrators public admin | 3: 65+ | 31,456 | 46 |
| 1 | Officials and administrators public admin | 4: Male | 405,511 | 438 |
| 1 | Officials and administrators public admin | 5: Female | 370,663 | 526 |
| 1 | Officials and administrators public admin | 6: White | 638,419 | 750 |
| 1 | Officials and administrators public admin | 7: Black | 111,728 | 181 |
| 1 | Officials and administrators public admin | 8: Other | 26,026 | 33 |
| 1 | Officials and administrators public admin | 9: Hispanic | 40,711 | 71 |
| 1 | Officials and administrators public admin | 10: NonHispanic | 735,463 | 893 |
| 1 | Officials and administrators public admin | 11: Insured | 20,178 | 24 |
| 1 | Officials and administrators public admin | 12: NonInsured | 755,995 | 940 |
| 2 | Managers administrators, except public administration | 1: Total | 12,437,864 | 14,551 |
| 2 | Managers administrators, except public administration | 2: Age 18-64 | 12,083,442 | 14,058 |
| 2 | Managers administrators, except public administration | 3: 65+ | 354,423 | 493 |
| 2 | Managers administrators, except public administration | 4: Male | 7,343,889 | 7,863 |
| 2 | Managers administrators, except public administration | 5: Female | 5,093,975 | 6,688 |
| 2 | Managers administrators, except public administration | 6: White | 11,039,374 | 12,544 |
| 2 | Managers administrators, except public administration | 7: Black | 830,874 | 1,293 |
| 2 | Managers administrators, except public administration | 8: Other | 567,616 | 714 |
| 2 | Managers administrators, except public administration | 9: Hispanic | 811,227 | 1,442 |
| 2 | Managers administrators, except public administration | 10: NonHispanic | 11,649,337 | 13,134 |
| 2 | Managers administrators, except public administration | 11: Insured | 1,023,363 | 1,367 |
| 2 | Managers administrators, except public administration | 12: NonInsured | 11,391,801 | 13,159 |
| 3 | Management related occs | 1: Total | 5,102,148 | 6,220 |
| 3 | Management related occs | 2: Age 18-64 | 4,953,432 | 6,027 |
| 3 | Management related occs | 3: 65+ | 148,715 | 193 |
| 3 | Management related occs | 4: Male | 2,152,795 | 2,343 |
| 3 | Management related occs | 5: Female | 2,949,352 | 3,877 |
| 3 | Management related occs | 6: White | 4,341,991 | 5,069 |
| 3 | Management related occs | 7: Black | 498,592 | 796 |
| 3 | Management related occs | 8: Other | 261,565 | 355 |
| 3 | Management related occs | 9: Hispanic | 312,738 | 594 |
| 3 | Management related occs | 10: NonHispanic | 4,795,776 | 5,632 |
| 3 | Management related occs | 11: Insured | 255,560 | 371 |
| 3 | Management related occs | 12: NonInsured | 4,840,221 | 5,843 |
| 4 | Engineers | 1: Total | 1,982,478 | 2,138 |
| 4 | Engineers | 2: Age 18-64 | 1,950,940 | 2,099 |
| 4 | Engineers | 3: 65+ | 31,538 | 39 |
| 4 | Engineers | 4: Male | 1,779,772 | 1,874 |
| 4 | Engineers | 5: Female | 202,706 | 264 |
| 4 | Engineers | 6: White | 1,702,866 | 1,816 |
| 4 | Engineers | 7: Black | 91,001 | 127 |
| 4 | Engineers | 8: Other | 188,611 | 195 |
| 4 | Engineers | 9: Hispanic | 102,356 | 150 |
| 4 | Engineers | 10: NonHispanic | 1,883,148 | 1,990 |
| 4 | Engineers | 11: Insured | 39,702 | 47 |
| 4 | Engineers | 12: NonInsured | 1,939,750 | 2,089 |
| 5 | Architects and surveyors | 1: Total | 227,354 | 261 |
| 5 | Architects and surveyors | 2: Age 18-64 | 217,892 | 250 |
| 5 | Architects and surveyors | 3: 65+ | 9,462 | 11 |
| 5 | Architects and surveyors | 4: Male | 188,176 | 212 |
| 5 | Architects and surveyors | 5: Female | 39,178 | 49 |
| 5 | Architects and surveyors | 6: White | 199,031 | 228 |
| 5 | Architects and surveyors | 7: Black | 11,522 | 15 |
| 5 | Architects and surveyors | 8: Other | 16,801 | 18 |
| 5 | Architects and surveyors | 9: Hispanic | 13,861 | 27 |
| 5 | Architects and surveyors | 10: NonHispanic | 213,494 | 234 |
| 5 | Architects and surveyors | 11: Insured | 10,680 | 17 |
| 5 | Architects and surveyors | 12: NonInsured | 216,674 | 244 |
| 6 | Natural mathematical/computer scientists | 1: Total | 2,631,818 | 3,103 |
| 6 | Natural mathematical/computer scientists | 2: Age 18-64 | 2,608,499 | 3,070 |
| 6 | Natural mathematical/computer scientists | 3: 65+ | 23,319 | 33 |
| 6 | Natural mathematical/computer scientists | 4: Male | 1,837,242 | 2,025 |
| 6 | Natural mathematical/computer scientists | 5: Female | 794,577 | 1,078 |
| 6 | Natural mathematical/computer scientists | 6: White | 2,077,747 | 2,404 |
| 6 | Natural mathematical/computer scientists | 7: Black | 169,254 | 267 |
| 6 | Natural mathematical/computer scientists | 8: Other | 384,817 | 432 |
| 6 | Natural mathematical/computer scientists | 9: Hispanic | 116,875 | 196 |
| 6 | Natural mathematical/computer scientists | 10: NonHispanic | 2,522,171 | 2,913 |
| 6 | Natural mathematical/computer scientists | 11: Insured | 102,890 | 145 |
| 6 | Natural mathematical/computer scientists | 12: NonInsured | 2,521,701 | 2,952 |
| 7 | Health diagnosing occs | 1: Total | 1,056,918 | 1,155 |
| 7 | Health diagnosing occs | 2: Age 18-64 | 996,820 | 1,086 |
| 7 | Health diagnosing occs | 3: 65+ | 60,098 | 69 |
| 7 | Health diagnosing occs | 4: Male | 761,612 | 776 |
| 7 | Health diagnosing occs | 5: Female | 295,306 | 379 |
| 7 | Health diagnosing occs | 6: White | 884,072 | 954 |
| 7 | Health diagnosing occs | 7: Black | 40,194 | 61 |
| 7 | Health diagnosing occs | 8: Other | 132,652 | 140 |
| 7 | Health diagnosing occs | 9: Hispanic | 52,276 | 86 |
| 7 | Health diagnosing occs | 10: NonHispanic | 1,006,155 | 1,070 |
| 7 | Health diagnosing occs | 11: Insured | 35,448 | 50 |
| 7 | Health diagnosing occs | 12: NonInsured | 1,019,957 | 1,104 |
| 8 | Health assessment/treating occs | 1: Total | 3,317,369 | 4,023 |
| 8 | Health assessment/treating occs | 2: Age 18-64 | 3,255,118 | 3,928 |
| 8 | Health assessment/treating occs | 3: 65+ | 62,251 | 95 |
| 8 | Health assessment/treating occs | 4: Male | 431,252 | 486 |
| 8 | Health assessment/treating occs | 5: Female | 2,886,117 | 3,537 |
| 8 | Health assessment/treating occs | 6: White | 2,816,883 | 3,299 |
| 8 | Health assessment/treating occs | 7: Black | 317,114 | 506 |
| 8 | Health assessment/treating occs | 8: Other | 183,372 | 218 |
| 8 | Health assessment/treating occs | 9: Hispanic | 117,973 | 233 |
| 8 | Health assessment/treating occs | 10: NonHispanic | 3,204,237 | 3,795 |
| 8 | Health assessment/treating occs | 11: Insured | 129,391 | 203 |
| 8 | Health assessment/treating occs | 12: NonInsured | 3,183,137 | 3,815 |
| 9 | Teachers, librarians, counselors | 1: Total | 6,858,940 | 8,356 |
| 9 | Teachers, librarians, counselors | 2: Age 18-64 | 6,689,891 | 8,104 |
| 9 | Teachers, librarians, counselors | 3: 65+ | 169,049 | 252 |
| 9 | Teachers, librarians, counselors | 4: Male | 2,159,643 | 2,407 |
| 9 | Teachers, librarians, counselors | 5: Female | 4,699,297 | 5,949 |
| 9 | Teachers, librarians, counselors | 6: White | 5,958,578 | 6,966 |
| 9 | Teachers, librarians, counselors | 7: Black | 624,957 | 1,008 |
| 9 | Teachers, librarians, counselors | 8: Other | 275,405 | 382 |
| 9 | Teachers, librarians, counselors | 9: Hispanic | 358,343 | 700 |
| 9 | Teachers, librarians, counselors | 10: NonHispanic | 6,506,357 | 7,662 |
| 9 | Teachers, librarians, counselors | 11: Insured | 363,539 | 512 |
| 9 | Teachers, librarians, counselors | 12: NonInsured | 6,489,641 | 7,838 |
| 10 | Writers, artists, entertainers, athletes | 1: Total | 2,297,894 | 2,910 |
| 10 | Writers, artists, entertainers, athletes | 2: Age 18-64 | 2,206,491 | 2,779 |
| 10 | Writers, artists, entertainers, athletes | 3: 65+ | 91,404 | 131 |
| 10 | Writers, artists, entertainers, athletes | 4: Male | 1,181,889 | 1,424 |
| 10 | Writers, artists, entertainers, athletes | 5: Female | 1,116,006 | 1,486 |
| 10 | Writers, artists, entertainers, athletes | 6: White | 2,036,237 | 2,522 |
| 10 | Writers, artists, entertainers, athletes | 7: Black | 157,189 | 241 |
| 10 | Writers, artists, entertainers, athletes | 8: Other | 104,468 | 147 |
| 10 | Writers, artists, entertainers, athletes | 9: Hispanic | 160,597 | 304 |
| 10 | Writers, artists, entertainers, athletes | 10: NonHispanic | 2,145,954 | 2,616 |
| 10 | Writers, artists, entertainers, athletes | 11: Insured | 347,616 | 494 |
| 10 | Writers, artists, entertainers, athletes | 12: NonInsured | 1,941,621 | 2,406 |
| 11 | Other professional specialty occs | 1: Total | 2,936,535 | 3,656 |
| 11 | Other professional specialty occs | 2: Age 18-64 | 2,801,432 | 3,457 |
| 11 | Other professional specialty occs | 3: 65+ | 135,104 | 199 |
| 11 | Other professional specialty occs | 4: Male | 1,491,569 | 1,651 |
| 11 | Other professional specialty occs | 5: Female | 1,444,967 | 2,005 |
| 11 | Other professional specialty occs | 6: White | 2,453,397 | 2,933 |
| 11 | Other professional specialty occs | 7: Black | 353,568 | 573 |
| 11 | Other professional specialty occs | 8: Other | 129,570 | 150 |
| 11 | Other professional specialty occs | 9: Hispanic | 155,338 | 316 |
| 11 | Other professional specialty occs | 10: NonHispanic | 2,784,086 | 3,343 |
| 11 | Other professional specialty occs | 11: Insured | 160,033 | 217 |
| 11 | Other professional specialty occs | 12: NonInsured | 2,773,613 | 3,436 |
| 12 | Health technologists/technicians | 1: Total | 1,854,395 | 2,288 |
| 12 | Health technologists/technicians | 2: Age 18-64 | 1,830,365 | 2,248 |
| 12 | Health technologists/technicians | 3: 65+ | 24,030 | 40 |
| 12 | Health technologists/technicians | 4: Male | 372,386 | 398 |
| 12 | Health technologists/technicians | 5: Female | 1,482,009 | 1,890 |
| 12 | Health technologists/technicians | 6: White | 1,497,406 | 1,752 |
| 12 | Health technologists/technicians | 7: Black | 227,595 | 379 |
| 12 | Health technologists/technicians | 8: Other | 129,394 | 157 |
| 12 | Health technologists/technicians | 9: Hispanic | 145,419 | 289 |
| 12 | Health technologists/technicians | 10: NonHispanic | 1,712,556 | 2,003 |
| 12 | Health technologists/technicians | 11: Insured | 126,699 | 195 |
| 12 | Health technologists/technicians | 12: NonInsured | 1,724,116 | 2,089 |
| 13 | Technologists, technicians except health | 1: Total | 2,644,043 | 3,140 |
| 13 | Technologists, technicians except health | 2: Age 18-64 | 2,614,569 | 3,099 |
| 13 | Technologists, technicians except health | 3: 65+ | 29,473 | 41 |
| 13 | Technologists, technicians except health | 4: Male | 1,803,099 | 2,012 |
| 13 | Technologists, technicians except health | 5: Female | 840,944 | 1,128 |
| 13 | Technologists, technicians except health | 6: White | 2,208,613 | 2,564 |
| 13 | Technologists, technicians except health | 7: Black | 200,814 | 301 |
| 13 | Technologists, technicians except health | 8: Other | 234,616 | 275 |
| 13 | Technologists, technicians except health | 9: Hispanic | 167,733 | 313 |
| 13 | Technologists, technicians except health | 10: NonHispanic | 2,481,437 | 2,833 |
| 13 | Technologists, technicians except health | 11: Insured | 157,971 | 211 |
| 13 | Technologists, technicians except health | 12: NonInsured | 2,480,944 | 2,923 |
| 14 | Supervisors and proprietors | 1: Total | 3,830,633 | 4,381 |
| 14 | Supervisors and proprietors | 2: Age 18-64 | 3,711,800 | 4,219 |
| 14 | Supervisors and proprietors | 3: 65+ | 118,832 | 162 |
| 14 | Supervisors and proprietors | 4: Male | 2,294,757 | 2,443 |
| 14 | Supervisors and proprietors | 5: Female | 1,535,876 | 1,938 |
| 14 | Supervisors and proprietors | 6: White | 3,378,987 | 3,783 |
| 14 | Supervisors and proprietors | 7: Black | 238,639 | 347 |
| 14 | Supervisors and proprietors | 8: Other | 213,007 | 251 |
| 14 | Supervisors and proprietors | 9: Hispanic | 270,988 | 518 |
| 14 | Supervisors and proprietors | 10: NonHispanic | 3,565,711 | 3,871 |
| 14 | Supervisors and proprietors | 11: Insured | 459,066 | 573 |
| 14 | Supervisors and proprietors | 12: NonInsured | 3,365,499 | 3,800 |
| 15 | Sales representatives, commodities and finance | 1: Total | 4,215,048 | 4,847 |
| 15 | Sales representatives, commodities and finance | 2: Age 18-64 | 4,029,335 | 4,604 |
| 15 | Sales representatives, commodities and finance | 3: 65+ | 185,712 | 243 |
| 15 | Sales representatives, commodities and finance | 4: Male | 2,642,285 | 2,797 |
| 15 | Sales representatives, commodities and finance | 5: Female | 1,572,763 | 2,050 |
| 15 | Sales representatives, commodities and finance | 6: White | 3,837,926 | 4,337 |
| 15 | Sales representatives, commodities and finance | 7: Black | 216,802 | 310 |
| 15 | Sales representatives, commodities and finance | 8: Other | 160,320 | 200 |
| 15 | Sales representatives, commodities and finance | 9: Hispanic | 257,240 | 444 |
| 15 | Sales representatives, commodities and finance | 10: NonHispanic | 3,967,497 | 4,410 |
| 15 | Sales representatives, commodities and finance | 11: Insured | 367,472 | 480 |
| 15 | Sales representatives, commodities and finance | 12: NonInsured | 3,837,886 | 4,360 |
| 16 | Other sales | 1: Total | 6,148,028 | 7,307 |
| 16 | Other sales | 2: Age 18-64 | 5,846,276 | 6,872 |
| 16 | Other sales | 3: 65+ | 301,753 | 435 |
| 16 | Other sales | 4: Male | 2,348,348 | 2,482 |
| 16 | Other sales | 5: Female | 3,799,680 | 4,825 |
| 16 | Other sales | 6: White | 4,979,200 | 5,729 |
| 16 | Other sales | 7: Black | 725,994 | 1,030 |
| 16 | Other sales | 8: Other | 442,834 | 548 |
| 16 | Other sales | 9: Hispanic | 718,532 | 1,350 |
| 16 | Other sales | 10: NonHispanic | 5,450,164 | 5,979 |
| 16 | Other sales | 11: Insured | 1,407,864 | 1,833 |
| 16 | Other sales | 12: NonInsured | 4,719,497 | 5,452 |
| 17 | Computer equipment operators | 1: Total | 377,953 | 470 |
| 17 | Computer equipment operators | 2: Age 18-64 | 377,155 | 469 |
| 17 | Computer equipment operators | 3: 65+ | 798 | 1 |
| 17 | Computer equipment operators | 4: Male | 173,689 | 186 |
| 17 | Computer equipment operators | 5: Female | 204,263 | 284 |
| 17 | Computer equipment operators | 6: White | 288,817 | 348 |
| 17 | Computer equipment operators | 7: Black | 56,913 | 84 |
| 17 | Computer equipment operators | 8: Other | 32,223 | 38 |
| 17 | Computer equipment operators | 9: Hispanic | 24,212 | 48 |
| 17 | Computer equipment operators | 10: NonHispanic | 353,741 | 422 |
| 17 | Computer equipment operators | 11: Insured | 21,895 | 33 |
| 17 | Computer equipment operators | 12: NonInsured | 356,058 | 437 |
| 18 | Secretaries, stenographers and typists | 1: Total | 2,661,059 | 3,380 |
| 18 | Secretaries, stenographers and typists | 2: Age 18-64 | 2,557,207 | 3,218 |
| 18 | Secretaries, stenographers and typists | 3: 65+ | 103,852 | 162 |
| 18 | Secretaries, stenographers and typists | 4: Male | 58,321 | 74 |
| 18 | Secretaries, stenographers and typists | 5: Female | 2,602,738 | 3,306 |
| 18 | Secretaries, stenographers and typists | 6: White | 2,330,958 | 2,829 |
| 18 | Secretaries, stenographers and typists | 7: Black | 236,394 | 402 |
| 18 | Secretaries, stenographers and typists | 8: Other | 93,707 | 149 |
| 18 | Secretaries, stenographers and typists | 9: Hispanic | 206,355 | 444 |
| 18 | Secretaries, stenographers and typists | 10: NonHispanic | 2,461,770 | 2,947 |
| 18 | Secretaries, stenographers and typists | 11: Insured | 199,851 | 287 |
| 18 | Secretaries, stenographers and typists | 12: NonInsured | 2,454,143 | 3,082 |
| 19 | Financial records processing occs | 1: Total | 2,091,637 | 2,655 |
| 19 | Financial records processing occs | 2: Age 18-64 | 1,990,383 | 2,500 |
| 19 | Financial records processing occs | 3: 65+ | 101,254 | 155 |
| 19 | Financial records processing occs | 4: Male | 213,438 | 250 |
| 19 | Financial records processing occs | 5: Female | 1,878,199 | 2,405 |
| 19 | Financial records processing occs | 6: White | 1,764,073 | 2,201 |
| 19 | Financial records processing occs | 7: Black | 201,674 | 301 |
| 19 | Financial records processing occs | 8: Other | 125,890 | 153 |
| 19 | Financial records processing occs | 9: Hispanic | 159,988 | 329 |
| 19 | Financial records processing occs | 10: NonHispanic | 1,932,602 | 2,328 |
| 19 | Financial records processing occs | 11: Insured | 166,143 | 239 |
| 19 | Financial records processing occs | 12: NonInsured | 1,924,542 | 2,414 |
| 20 | Mail and message distributing | 1: Total | 882,798 | 1,085 |
| 20 | Mail and message distributing | 2: Age 18-64 | 850,683 | 1,041 |
| 20 | Mail and message distributing | 3: 65+ | 32,115 | 44 |
| 20 | Mail and message distributing | 4: Male | 512,254 | 584 |
| 20 | Mail and message distributing | 5: Female | 370,544 | 501 |
| 20 | Mail and message distributing | 6: White | 634,538 | 748 |
| 20 | Mail and message distributing | 7: Black | 193,811 | 271 |
| 20 | Mail and message distributing | 8: Other | 54,448 | 66 |
| 20 | Mail and message distributing | 9: Hispanic | 77,509 | 136 |
| 20 | Mail and message distributing | 10: NonHispanic | 805,289 | 949 |
| 20 | Mail and message distributing | 11: Insured | 82,670 | 104 |
| 20 | Mail and message distributing | 12: NonInsured | 800,128 | 981 |
| 21 | Other administrative support | 1: Total | 11,301,244 | 14,317 |
| 21 | Other administrative support | 2: Age 18-64 | 10,984,469 | 13,832 |
| 21 | Other administrative support | 3: 65+ | 316,775 | 485 |
| 21 | Other administrative support | 4: Male | 2,982,023 | 3,393 |
| 21 | Other administrative support | 5: Female | 8,319,220 | 10,924 |
| 21 | Other administrative support | 6: White | 9,084,729 | 10,911 |
| 21 | Other administrative support | 7: Black | 1,621,060 | 2,534 |
| 21 | Other administrative support | 8: Other | 595,454 | 872 |
| 21 | Other administrative support | 9: Hispanic | 1,179,444 | 2,354 |
| 21 | Other administrative support | 10: NonHispanic | 10,147,873 | 11,990 |
| 21 | Other administrative support | 11: Insured | 1,118,149 | 1,570 |
| 21 | Other administrative support | 12: NonInsured | 10,157,021 | 12,720 |
| 22 | Private household occs | 1: Total | 684,973 | 1,057 |
| 22 | Private household occs | 2: Age 18-64 | 628,368 | 950 |
| 22 | Private household occs | 3: 65+ | 56,605 | 107 |
| 22 | Private household occs | 4: Male | 35,450 | 42 |
| 22 | Private household occs | 5: Female | 649,523 | 1,015 |
| 22 | Private household occs | 6: White | 525,066 | 790 |
| 22 | Private household occs | 7: Black | 85,868 | 149 |
| 22 | Private household occs | 8: Other | 74,039 | 118 |
| 22 | Private household occs | 9: Hispanic | 227,933 | 494 |
| 22 | Private household occs | 10: NonHispanic | 460,875 | 567 |
| 22 | Private household occs | 11: Insured | 310,784 | 559 |
| 22 | Private household occs | 12: NonInsured | 370,353 | 494 |
| 23 | Police and firefighters | 1: Total | 1,434,652 | 1,640 |
| 23 | Police and firefighters | 2: Age 18-64 | 1,421,759 | 1,623 |
| 23 | Police and firefighters | 3: 65+ | 12,893 | 17 |
| 23 | Police and firefighters | 4: Male | 1,215,816 | 1,315 |
| 23 | Police and firefighters | 5: Female | 218,836 | 325 |
| 23 | Police and firefighters | 6: White | 1,145,924 | 1,253 |
| 23 | Police and firefighters | 7: Black | 228,841 | 304 |
| 23 | Police and firefighters | 8: Other | 59,887 | 83 |
| 23 | Police and firefighters | 9: Hispanic | 117,106 | 215 |
| 23 | Police and firefighters | 10: NonHispanic | 1,318,392 | 1,426 |
| 23 | Police and firefighters | 11: Insured | 26,864 | 36 |
| 23 | Police and firefighters | 12: NonInsured | 1,406,942 | 1,603 |
| 24 | Other protective service occs | 1: Total | 966,500 | 1,226 |
| 24 | Other protective service occs | 2: Age 18-64 | 878,910 | 1,109 |
| 24 | Other protective service occs | 3: 65+ | 87,590 | 117 |
| 24 | Other protective service occs | 4: Male | 701,420 | 849 |
| 24 | Other protective service occs | 5: Female | 265,080 | 377 |
| 24 | Other protective service occs | 6: White | 647,619 | 787 |
| 24 | Other protective service occs | 7: Black | 229,388 | 341 |
| 24 | Other protective service occs | 8: Other | 89,492 | 98 |
| 24 | Other protective service occs | 9: Hispanic | 112,822 | 212 |
| 24 | Other protective service occs | 10: NonHispanic | 856,326 | 1,017 |
| 24 | Other protective service occs | 11: Insured | 200,638 | 289 |
| 24 | Other protective service occs | 12: NonInsured | 763,214 | 934 |
| 25 | Food service | 1: Total | 5,356,422 | 6,681 |
| 25 | Food service | 2: Age 18-64 | 5,232,116 | 6,471 |
| 25 | Food service | 3: 65+ | 124,306 | 210 |
| 25 | Food service | 4: Male | 2,194,925 | 2,518 |
| 25 | Food service | 5: Female | 3,161,497 | 4,163 |
| 25 | Food service | 6: White | 4,241,603 | 5,134 |
| 25 | Food service | 7: Black | 654,741 | 950 |
| 25 | Food service | 8: Other | 460,078 | 597 |
| 25 | Food service | 9: Hispanic | 967,015 | 1,727 |
| 25 | Food service | 10: NonHispanic | 4,417,558 | 4,980 |
| 25 | Food service | 11: Insured | 2,081,417 | 2,754 |
| 25 | Food service | 12: NonInsured | 3,246,854 | 3,901 |
| 26 | Health service | 1: Total | 2,634,186 | 3,727 |
| 26 | Health service | 2: Age 18-64 | 2,553,668 | 3,571 |
| 26 | Health service | 3: 65+ | 80,519 | 156 |
| 26 | Health service | 4: Male | 285,018 | 352 |
| 26 | Health service | 5: Female | 2,349,169 | 3,375 |
| 26 | Health service | 6: White | 1,715,089 | 2,217 |
| 26 | Health service | 7: Black | 761,656 | 1,254 |
| 26 | Health service | 8: Other | 157,442 | 256 |
| 26 | Health service | 9: Hispanic | 285,511 | 670 |
| 26 | Health service | 10: NonHispanic | 2,355,811 | 3,062 |
| 26 | Health service | 11: Insured | 642,148 | 978 |
| 26 | Health service | 12: NonInsured | 1,984,902 | 2,744 |
| 27 | Cleaning and building service | 1: Total | 3,085,111 | 4,183 |
| 27 | Cleaning and building service | 2: Age 18-64 | 2,940,785 | 3,969 |
| 27 | Cleaning and building service | 3: 65+ | 144,326 | 214 |
| 27 | Cleaning and building service | 4: Male | 1,659,903 | 2,025 |
| 27 | Cleaning and building service | 5: Female | 1,425,208 | 2,158 |
| 27 | Cleaning and building service | 6: White | 2,216,690 | 2,881 |
| 27 | Cleaning and building service | 7: Black | 613,988 | 938 |
| 27 | Cleaning and building service | 8: Other | 254,433 | 364 |
| 27 | Cleaning and building service | 9: Hispanic | 725,768 | 1,361 |
| 27 | Cleaning and building service | 10: NonHispanic | 2,368,094 | 2,829 |
| 27 | Cleaning and building service | 11: Insured | 831,244 | 1,225 |
| 27 | Cleaning and building service | 12: NonInsured | 2,245,116 | 2,951 |
| 28 | Personal service | 1: Total | 2,745,870 | 3,659 |
| 28 | Personal service | 2: Age 18-64 | 2,616,350 | 3,446 |
| 28 | Personal service | 3: 65+ | 129,520 | 213 |
| 28 | Personal service | 4: Male | 483,799 | 586 |
| 28 | Personal service | 5: Female | 2,262,071 | 3,073 |
| 28 | Personal service | 6: White | 2,134,954 | 2,716 |
| 28 | Personal service | 7: Black | 405,942 | 662 |
| 28 | Personal service | 8: Other | 204,974 | 281 |
| 28 | Personal service | 9: Hispanic | 313,525 | 662 |
| 28 | Personal service | 10: NonHispanic | 2,444,346 | 3,008 |
| 28 | Personal service | 11: Insured | 608,196 | 932 |
| 28 | Personal service | 12: NonInsured | 2,125,674 | 2,716 |
| 29 | Farm operators and managers | 1: Total | 855,724 | 937 |
| 29 | Farm operators and managers | 2: Age 18-64 | 733,628 | 787 |
| 29 | Farm operators and managers | 3: 65+ | 122,096 | 150 |
| 29 | Farm operators and managers | 4: Male | 714,004 | 772 |
| 29 | Farm operators and managers | 5: Female | 141,720 | 165 |
| 29 | Farm operators and managers | 6: White | 834,418 | 907 |
| 29 | Farm operators and managers | 7: Black | 9,655 | 11 |
| 29 | Farm operators and managers | 8: Other | 11,651 | 19 |
| 29 | Farm operators and managers | 9: Hispanic | 31,522 | 62 |
| 29 | Farm operators and managers | 10: NonHispanic | 826,019 | 877 |
| 29 | Farm operators and managers | 11: Insured | 128,177 | 159 |
| 29 | Farm operators and managers | 12: NonInsured | 725,730 | 776 |
| 30 | Farm workers and other agricultural workers | 1: Total | 1,974,101 | 2,645 |
| 30 | Farm workers and other agricultural workers | 2: Age 18-64 | 1,901,840 | 2,530 |
| 30 | Farm workers and other agricultural workers | 3: 65+ | 72,262 | 115 |
| 30 | Farm workers and other agricultural workers | 4: Male | 1,606,826 | 2,136 |
| 30 | Farm workers and other agricultural workers | 5: Female | 367,276 | 509 |
| 30 | Farm workers and other agricultural workers | 6: White | 1,719,589 | 2,231 |
| 30 | Farm workers and other agricultural workers | 7: Black | 122,334 | 190 |
| 30 | Farm workers and other agricultural workers | 8: Other | 132,178 | 224 |
| 30 | Farm workers and other agricultural workers | 9: Hispanic | 719,479 | 1,282 |
| 30 | Farm workers and other agricultural workers | 10: NonHispanic | 1,265,309 | 1,374 |
| 30 | Farm workers and other agricultural workers | 11: Insured | 847,115 | 1,265 |
| 30 | Farm workers and other agricultural workers | 12: NonInsured | 1,116,300 | 1,369 |
| 31 | Forestry and fishing occs | 1: Total | 148,887 | 163 |
| 31 | Forestry and fishing occs | 2: Age 18-64 | 139,210 | 153 |
| 31 | Forestry and fishing occs | 3: 65+ | 9,677 | 10 |
| 31 | Forestry and fishing occs | 4: Male | 143,549 | 154 |
| 31 | Forestry and fishing occs | 5: Female | 5,338 | 9 |
| 31 | Forestry and fishing occs | 6: White | 132,443 | 142 |
| 31 | Forestry and fishing occs | 7: Black | 9,753 | 14 |
| 31 | Forestry and fishing occs | 8: Other | 6,691 | 7 |
| 31 | Forestry and fishing occs | 9: Hispanic | 7,494 | 13 |
| 31 | Forestry and fishing occs | 10: NonHispanic | 141,987 | 151 |
| 31 | Forestry and fishing occs | 11: Insured | 65,906 | 72 |
| 31 | Forestry and fishing occs | 12: NonInsured | 82,388 | 90 |
| 32 | Mechanics and repairers | 1: Total | 4,667,434 | 5,149 |
| 32 | Mechanics and repairers | 2: Age 18-64 | 4,581,648 | 5,035 |
| 32 | Mechanics and repairers | 3: 65+ | 85,786 | 114 |
| 32 | Mechanics and repairers | 4: Male | 4,462,079 | 4,862 |
| 32 | Mechanics and repairers | 5: Female | 205,355 | 287 |
| 32 | Mechanics and repairers | 6: White | 4,050,909 | 4,392 |
| 32 | Mechanics and repairers | 7: Black | 383,084 | 484 |
| 32 | Mechanics and repairers | 8: Other | 233,441 | 273 |
| 32 | Mechanics and repairers | 9: Hispanic | 515,988 | 883 |
| 32 | Mechanics and repairers | 10: NonHispanic | 4,166,621 | 4,276 |
| 32 | Mechanics and repairers | 11: Insured | 733,109 | 929 |
| 32 | Mechanics and repairers | 12: NonInsured | 3,919,150 | 4,210 |
| 33 | Construction and extractive trades | 1: Total | 5,789,709 | 6,574 |
| 33 | Construction and extractive trades | 2: Age 18-64 | 5,696,198 | 6,454 |
| 33 | Construction and extractive trades | 3: 65+ | 93,511 | 120 |
| 33 | Construction and extractive trades | 4: Male | 5,639,346 | 6,382 |
| 33 | Construction and extractive trades | 5: Female | 150,363 | 192 |
| 33 | Construction and extractive trades | 6: White | 5,115,390 | 5,665 |
| 33 | Construction and extractive trades | 7: Black | 411,605 | 534 |
| 33 | Construction and extractive trades | 8: Other | 262,715 | 375 |
| 33 | Construction and extractive trades | 9: Hispanic | 1,003,022 | 1,645 |
| 33 | Construction and extractive trades | 10: NonHispanic | 4,801,909 | 4,949 |
| 33 | Construction and extractive trades | 11: Insured | 2,006,984 | 2,545 |
| 33 | Construction and extractive trades | 12: NonInsured | 3,767,504 | 4,009 |
| 34 | Precision production occs | 1: Total | 3,394,969 | 3,948 |
| 34 | Precision production occs | 2: Age 18-64 | 3,324,072 | 3,862 |
| 34 | Precision production occs | 3: 65+ | 70,897 | 86 |
| 34 | Precision production occs | 4: Male | 2,585,316 | 2,853 |
| 34 | Precision production occs | 5: Female | 809,653 | 1,095 |
| 34 | Precision production occs | 6: White | 2,879,413 | 3,256 |
| 34 | Precision production occs | 7: Black | 289,030 | 400 |
| 34 | Precision production occs | 8: Other | 226,526 | 292 |
| 34 | Precision production occs | 9: Hispanic | 491,713 | 881 |
| 34 | Precision production occs | 10: NonHispanic | 2,909,893 | 3,072 |
| 34 | Precision production occs | 11: Insured | 407,136 | 556 |
| 34 | Precision production occs | 12: NonInsured | 2,981,196 | 3,387 |
| 35 | Machine operators/tenderers, except precision | 1: Total | 4,379,879 | 5,492 |
| 35 | Machine operators/tenderers, except precision | 2: Age 18-64 | 4,309,430 | 5,392 |
| 35 | Machine operators/tenderers, except precision | 3: 65+ | 70,449 | 100 |
| 35 | Machine operators/tenderers, except precision | 4: Male | 2,902,278 | 3,337 |
| 35 | Machine operators/tenderers, except precision | 5: Female | 1,477,601 | 2,155 |
| 35 | Machine operators/tenderers, except precision | 6: White | 3,443,953 | 4,149 |
| 35 | Machine operators/tenderers, except precision | 7: Black | 590,026 | 864 |
| 35 | Machine operators/tenderers, except precision | 8: Other | 345,900 | 479 |
| 35 | Machine operators/tenderers, except precision | 9: Hispanic | 866,962 | 1,610 |
| 35 | Machine operators/tenderers, except precision | 10: NonHispanic | 3,521,342 | 3,892 |
| 35 | Machine operators/tenderers, except precision | 11: Insured | 781,745 | 1,139 |
| 35 | Machine operators/tenderers, except precision | 12: NonInsured | 3,589,710 | 4,343 |
| 36 | Fabricators, assemblers, inspectors, samplers | 1: Total | 2,637,020 | 3,192 |
| 36 | Fabricators, assemblers, inspectors, samplers | 2: Age 18-64 | 2,597,262 | 3,133 |
| 36 | Fabricators, assemblers, inspectors, samplers | 3: 65+ | 39,759 | 59 |
| 36 | Fabricators, assemblers, inspectors, samplers | 4: Male | 1,643,523 | 1,820 |
| 36 | Fabricators, assemblers, inspectors, samplers | 5: Female | 993,498 | 1,372 |
| 36 | Fabricators, assemblers, inspectors, samplers | 6: White | 2,112,843 | 2,462 |
| 36 | Fabricators, assemblers, inspectors, samplers | 7: Black | 334,775 | 484 |
| 36 | Fabricators, assemblers, inspectors, samplers | 8: Other | 189,403 | 246 |
| 36 | Fabricators, assemblers, inspectors, samplers | 9: Hispanic | 432,799 | 792 |
| 36 | Fabricators, assemblers, inspectors, samplers | 10: NonHispanic | 2,207,098 | 2,404 |
| 36 | Fabricators, assemblers, inspectors, samplers | 11: Insured | 445,952 | 600 |
| 36 | Fabricators, assemblers, inspectors, samplers | 12: NonInsured | 2,188,192 | 2,588 |
| 37 | Motor vehicle operators | 1: Total | 3,999,166 | 4,694 |
| 37 | Motor vehicle operators | 2: Age 18-64 | 3,780,717 | 4,414 |
| 37 | Motor vehicle operators | 3: 65+ | 218,449 | 280 |
| 37 | Motor vehicle operators | 4: Male | 3,494,219 | 4,006 |
| 37 | Motor vehicle operators | 5: Female | 504,947 | 688 |
| 37 | Motor vehicle operators | 6: White | 3,213,525 | 3,576 |
| 37 | Motor vehicle operators | 7: Black | 590,334 | 846 |
| 37 | Motor vehicle operators | 8: Other | 195,307 | 272 |
| 37 | Motor vehicle operators | 9: Hispanic | 513,539 | 893 |
| 37 | Motor vehicle operators | 10: NonHispanic | 3,503,546 | 3,817 |
| 37 | Motor vehicle operators | 11: Insured | 866,479 | 1,112 |
| 37 | Motor vehicle operators | 12: NonInsured | 3,114,768 | 3,566 |
| 38 | Other transportation, except motor vehicles | 1: Total | 189,086 | 188 |
| 38 | Other transportation, except motor vehicles | 2: Age 18-64 | 187,947 | 186 |
| 38 | Other transportation, except motor vehicles | 3: 65+ | 1,139 | 2 |
| 38 | Other transportation, except motor vehicles | 4: Male | 185,665 | 181 |
| 38 | Other transportation, except motor vehicles | 5: Female | 3,421 | 7 |
| 38 | Other transportation, except motor vehicles | 6: White | 159,092 | 154 |
| 38 | Other transportation, except motor vehicles | 7: Black | 25,474 | 30 |
| 38 | Other transportation, except motor vehicles | 8: Other | 4,520 | 4 |
| 38 | Other transportation, except motor vehicles | 9: Hispanic | 5,131 | 6 |
| 38 | Other transportation, except motor vehicles | 10: NonHispanic | 183,955 | 182 |
| 38 | Other transportation, except motor vehicles | 11: Insured | 9,121 | 8 |
| 38 | Other transportation, except motor vehicles | 12: NonInsured | 179,964 | 180 |
| 39 | Material moving equipment operators | 1: Total | 1,172,950 | 1,300 |
| 39 | Material moving equipment operators | 2: Age 18-64 | 1,155,222 | 1,277 |
| 39 | Material moving equipment operators | 3: 65+ | 17,727 | 23 |
| 39 | Material moving equipment operators | 4: Male | 1,096,890 | 1,195 |
| 39 | Material moving equipment operators | 5: Female | 76,060 | 105 |
| 39 | Material moving equipment operators | 6: White | 951,892 | 1,027 |
| 39 | Material moving equipment operators | 7: Black | 164,771 | 198 |
| 39 | Material moving equipment operators | 8: Other | 56,287 | 75 |
| 39 | Material moving equipment operators | 9: Hispanic | 174,838 | 285 |
| 39 | Material moving equipment operators | 10: NonHispanic | 1,004,282 | 1,020 |
| 39 | Material moving equipment operators | 11: Insured | 177,839 | 222 |
| 39 | Material moving equipment operators | 12: NonInsured | 988,941 | 1,073 |
| 40 | Construction laborers | 1: Total | 1,053,405 | 1,307 |
| 40 | Construction laborers | 2: Age 18-64 | 1,027,307 | 1,276 |
| 40 | Construction laborers | 3: 65+ | 26,098 | 31 |
| 40 | Construction laborers | 4: Male | 1,028,414 | 1,269 |
| 40 | Construction laborers | 5: Female | 24,992 | 38 |
| 40 | Construction laborers | 6: White | 880,941 | 1,069 |
| 40 | Construction laborers | 7: Black | 98,498 | 122 |
| 40 | Construction laborers | 8: Other | 73,966 | 116 |
| 40 | Construction laborers | 9: Hispanic | 324,820 | 536 |
| 40 | Construction laborers | 10: NonHispanic | 729,999 | 774 |
| 40 | Construction laborers | 11: Insured | 503,450 | 691 |
| 40 | Construction laborers | 12: NonInsured | 548,542 | 613 |
| 41 | Freight, stock, material handlers | 1: Total | 3,835,038 | 4,424 |
| 41 | Freight, stock, material handlers | 2: Age 18-64 | 3,730,237 | 4,280 |
| 41 | Freight, stock, material handlers | 3: 65+ | 104,801 | 144 |
| 41 | Freight, stock, material handlers | 4: Male | 2,925,560 | 3,173 |
| 41 | Freight, stock, material handlers | 5: Female | 909,478 | 1,251 |
| 41 | Freight, stock, material handlers | 6: White | 2,906,709 | 3,246 |
| 41 | Freight, stock, material handlers | 7: Black | 649,806 | 821 |
| 41 | Freight, stock, material handlers | 8: Other | 278,523 | 357 |
| 41 | Freight, stock, material handlers | 9: Hispanic | 738,737 | 1,241 |
| 41 | Freight, stock, material handlers | 10: NonHispanic | 3,118,377 | 3,204 |
| 41 | Freight, stock, material handlers | 11: Insured | 975,153 | 1,231 |
| 41 | Freight, stock, material handlers | 12: NonInsured | 2,837,809 | 3,172 |