| Table 2. Occupational Groups, Number of Deaths, Sample Sizes, and Population Estimates by 41 Occupations | |||||
| Occupation 13 Classes | Group | Estimated US Worker Population | Sample Size | Mortality Follow Up Sample Size | Number of Deaths |
| Officials and administrators public admin | 1: Total | 542,174 | 2,157 | 2,122 | 138 |
| Officials and administrators public admin | 2: Male | 315,909 | 1,212 | 1,198 | 103 |
| Officials and administrators public admin | 3: Female | 226,264 | 945 | 924 | 35 |
| Officials and administrators public admin | 4: White | 472,920 | 1,861 | 1,832 | 118 |
| Officials and administrators public admin | 5: Black | 49,487 | 225 | 219 | 16 |
| Officials and administrators public admin | 6: Other | 19,766 | 71 | 71 | 4 |
| Officials and administrators public admin | 7: Hispanic | 23,438 | 92 | 90 | 5 |
| Officials and administrators public admin | 8: NonHispanic | 518,736 | 2,065 | 2,032 | 133 |
| Managers administrators, except public administration | 1: Total | 11,337,987 | 44,320 | 43,654 | 2,540 |
| Managers administrators, except public administration | 2: Male | 7,260,207 | 27,924 | 27,496 | 1,912 |
| Managers administrators, except public administration | 3: Female | 4,077,780 | 16,396 | 16,158 | 628 |
| Managers administrators, except public administration | 4: White | 10,358,556 | 40,233 | 39,635 | 2,307 |
| Managers administrators, except public administration | 5: Black | 630,687 | 2,760 | 2,721 | 183 |
| Managers administrators, except public administration | 6: Other | 348,745 | 1,327 | 1,298 | 50 |
| Managers administrators, except public administration | 7: Hispanic | 537,742 | 2,061 | 2,029 | 110 |
| Managers administrators, except public administration | 8: NonHispanic | 10,800,245 | 42,259 | 41,625 | 2,430 |
| Management related occs | 1: Total | 3,975,190 | 15,574 | 15,320 | 758 |
| Management related occs | 2: Male | 1,909,843 | 7,267 | 7,156 | 504 |
| Management related occs | 3: Female | 2,065,347 | 8,307 | 8,164 | 254 |
| Management related occs | 4: White | 3,508,911 | 13,613 | 13,401 | 685 |
| Management related occs | 5: Black | 302,468 | 1,342 | 1,313 | 61 |
| Management related occs | 6: Other | 163,811 | 619 | 606 | 12 |
| Management related occs | 7: Hispanic | 208,368 | 795 | 781 | 44 |
| Management related occs | 8: NonHispanic | 3,766,822 | 14,779 | 14,539 | 714 |
| Engineers | 1: Total | 2,009,300 | 7,700 | 7,557 | 353 |
| Engineers | 2: Male | 1,848,533 | 7,054 | 6,918 | 340 |
| Engineers | 3: Female | 160,767 | 646 | 639 | 13 |
| Engineers | 4: White | 1,780,112 | 6,831 | 6,706 | 307 |
| Engineers | 5: Black | 85,626 | 324 | 316 | 21 |
| Engineers | 6: Other | 143,563 | 545 | 535 | 25 |
| Engineers | 7: Hispanic | 72,090 | 272 | 267 | 9 |
| Engineers | 8: NonHispanic | 1,937,210 | 7,428 | 7,290 | 344 |
| Architects and surveyors | 1: Total | 201,731 | 778 | 766 | 49 |
| Architects and surveyors | 2: Male | 177,084 | 678 | 667 | 46 |
| Architects and surveyors | 3: Female | 24,647 | 100 | 99 | 3 |
| Architects and surveyors | 4: White | 186,076 | 717 | 707 | 47 |
| Architects and surveyors | 5: Black | 7,204 | 27 | 26 | 0 |
| Architects and surveyors | 6: Other | 8,451 | 34 | 33 | 2 |
| Architects and surveyors | 7: Hispanic | 13,983 | 55 | 55 | 6 |
| Architects and surveyors | 8: NonHispanic | 187,748 | 723 | 711 | 43 |
| Natural mathematical/computer scientists | 1: Total | 1,330,325 | 5,115 | 5,016 | 165 |
| Natural mathematical/computer scientists | 2: Male | 907,823 | 3,433 | 3,374 | 137 |
| Natural mathematical/computer scientists | 3: Female | 422,502 | 1,682 | 1,642 | 28 |
| Natural mathematical/computer scientists | 4: White | 1,154,319 | 4,421 | 4,342 | 149 |
| Natural mathematical/computer scientists | 5: Black | 84,541 | 342 | 334 | 8 |
| Natural mathematical/computer scientists | 6: Other | 91,465 | 352 | 340 | 8 |
| Natural mathematical/computer scientists | 7: Hispanic | 48,104 | 182 | 180 | 6 |
| Natural mathematical/computer scientists | 8: NonHispanic | 1,282,221 | 4,933 | 4,836 | 159 |
| Health diagnosing occs | 1: Total | 829,443 | 3,249 | 3,160 | 189 |
| Health diagnosing occs | 2: Male | 668,142 | 2,598 | 2,524 | 166 |
| Health diagnosing occs | 3: Female | 161,301 | 651 | 636 | 23 |
| Health diagnosing occs | 4: White | 724,399 | 2,839 | 2,764 | 171 |
| Health diagnosing occs | 5: Black | 31,964 | 130 | 125 | 7 |
| Health diagnosing occs | 6: Other | 73,080 | 280 | 271 | 11 |
| Health diagnosing occs | 7: Hispanic | 41,633 | 153 | 148 | 5 |
| Health diagnosing occs | 8: NonHispanic | 787,809 | 3,096 | 3,012 | 184 |
| Health assessment/treating occs | 1: Total | 2,482,299 | 9,988 | 9,809 | 327 |
| Health assessment/treating occs | 2: Male | 316,435 | 1,217 | 1,196 | 58 |
| Health assessment/treating occs | 3: Female | 2,165,864 | 8,771 | 8,613 | 269 |
| Health assessment/treating occs | 4: White | 2,133,040 | 8,445 | 8,300 | 259 |
| Health assessment/treating occs | 5: Black | 230,708 | 1,078 | 1,055 | 59 |
| Health assessment/treating occs | 6: Other | 118,550 | 465 | 454 | 9 |
| Health assessment/treating occs | 7: Hispanic | 86,259 | 336 | 332 | 12 |
| Health assessment/treating occs | 8: NonHispanic | 2,396,040 | 9,652 | 9,477 | 315 |
| Teachers, librarians, counselors | 1: Total | 5,231,152 | 20,938 | 20,569 | 803 |
| Teachers, librarians, counselors | 2: Male | 1,642,027 | 6,340 | 6,239 | 366 |
| Teachers, librarians, counselors | 3: Female | 3,589,125 | 14,598 | 14,330 | 437 |
| Teachers, librarians, counselors | 4: White | 4,612,706 | 18,208 | 17,893 | 656 |
| Teachers, librarians, counselors | 5: Black | 452,612 | 2,136 | 2,092 | 134 |
| Teachers, librarians, counselors | 6: Other | 165,834 | 594 | 584 | 13 |
| Teachers, librarians, counselors | 7: Hispanic | 217,139 | 828 | 816 | 22 |
| Teachers, librarians, counselors | 8: NonHispanic | 5,014,013 | 20,110 | 19,753 | 781 |
| Writers, artists, entertainers, athletes | 1: Total | 1,971,725 | 7,538 | 7,383 | 383 |
| Writers, artists, entertainers, athletes | 2: Male | 1,025,232 | 3,828 | 3,748 | 250 |
| Writers, artists, entertainers, athletes | 3: Female | 946,492 | 3,710 | 3,635 | 133 |
| Writers, artists, entertainers, athletes | 4: White | 1,799,120 | 6,879 | 6,742 | 346 |
| Writers, artists, entertainers, athletes | 5: Black | 103,027 | 411 | 398 | 24 |
| Writers, artists, entertainers, athletes | 6: Other | 69,577 | 248 | 243 | 13 |
| Writers, artists, entertainers, athletes | 7: Hispanic | 93,668 | 359 | 352 | 9 |
| Writers, artists, entertainers, athletes | 8: NonHispanic | 1,878,056 | 7,179 | 7,031 | 374 |
| Other professional specialty occs | 1: Total | 2,227,360 | 8,822 | 8,665 | 520 |
| Other professional specialty occs | 2: Male | 1,332,391 | 5,145 | 5,056 | 380 |
| Other professional specialty occs | 3: Female | 894,969 | 3,677 | 3,609 | 140 |
| Other professional specialty occs | 4: White | 1,952,622 | 7,627 | 7,496 | 423 |
| Other professional specialty occs | 5: Black | 225,915 | 1,009 | 986 | 88 |
| Other professional specialty occs | 6: Other | 48,823 | 186 | 183 | 9 |
| Other professional specialty occs | 7: Hispanic | 98,301 | 388 | 379 | 17 |
| Other professional specialty occs | 8: NonHispanic | 2,129,060 | 8,434 | 8,286 | 503 |
| Health technologists/technicians | 1: Total | 1,357,639 | 5,558 | 5,466 | 202 |
| Health technologists/technicians | 2: Male | 247,624 | 922 | 910 | 48 |
| Health technologists/technicians | 3: Female | 1,110,015 | 4,636 | 4,556 | 154 |
| Health technologists/technicians | 4: White | 1,091,114 | 4,331 | 4,256 | 154 |
| Health technologists/technicians | 5: Black | 198,689 | 980 | 965 | 42 |
| Health technologists/technicians | 6: Other | 67,836 | 247 | 245 | 6 |
| Health technologists/technicians | 7: Hispanic | 89,019 | 345 | 337 | 11 |
| Health technologists/technicians | 8: NonHispanic | 1,268,620 | 5,213 | 5,129 | 191 |
| Technologists, technicians except health | 1: Total | 2,658,590 | 10,198 | 10,019 | 394 |
| Technologists, technicians except health | 2: Male | 1,830,242 | 6,926 | 6,802 | 304 |
| Technologists, technicians except health | 3: Female | 828,348 | 3,272 | 3,217 | 90 |
| Technologists, technicians except health | 4: White | 2,305,125 | 8,778 | 8,623 | 327 |
| Technologists, technicians except health | 5: Black | 191,172 | 816 | 802 | 49 |
| Technologists, technicians except health | 6: Other | 162,293 | 604 | 594 | 18 |
| Technologists, technicians except health | 7: Hispanic | 146,493 | 549 | 537 | 16 |
| Technologists, technicians except health | 8: NonHispanic | 2,512,097 | 9,649 | 9,482 | 378 |
| Supervisors and proprietors | 1: Total | 3,596,023 | 13,986 | 13,781 | 848 |
| Supervisors and proprietors | 2: Male | 2,315,820 | 8,835 | 8,709 | 626 |
| Supervisors and proprietors | 3: Female | 1,280,203 | 5,151 | 5,072 | 222 |
| Supervisors and proprietors | 4: White | 3,297,445 | 12,793 | 12,614 | 779 |
| Supervisors and proprietors | 5: Black | 169,165 | 706 | 692 | 41 |
| Supervisors and proprietors | 6: Other | 129,414 | 487 | 475 | 28 |
| Supervisors and proprietors | 7: Hispanic | 197,592 | 751 | 744 | 35 |
| Supervisors and proprietors | 8: NonHispanic | 3,398,432 | 13,235 | 13,037 | 813 |
| Sales representatives, commodities and finance | 1: Total | 3,603,720 | 13,918 | 13,662 | 860 |
| Sales representatives, commodities and finance | 2: Male | 2,395,527 | 9,127 | 8,970 | 681 |
| Sales representatives, commodities and finance | 3: Female | 1,208,194 | 4,791 | 4,692 | 179 |
| Sales representatives, commodities and finance | 4: White | 3,373,892 | 12,985 | 12,754 | 826 |
| Sales representatives, commodities and finance | 5: Black | 145,970 | 628 | 612 | 25 |
| Sales representatives, commodities and finance | 6: Other | 83,858 | 305 | 296 | 9 |
| Sales representatives, commodities and finance | 7: Hispanic | 155,619 | 603 | 592 | 21 |
| Sales representatives, commodities and finance | 8: NonHispanic | 3,448,101 | 13,315 | 13,070 | 839 |
| Other sales | 1: Total | 5,892,896 | 23,168 | 22,743 | 1,229 |
| Other sales | 2: Male | 2,016,522 | 7,668 | 7,515 | 573 |
| Other sales | 3: Female | 3,876,373 | 15,500 | 15,228 | 656 |
| Other sales | 4: White | 5,079,311 | 19,679 | 19,319 | 1,076 |
| Other sales | 5: Black | 574,014 | 2,619 | 2,572 | 107 |
| Other sales | 6: Other | 239,570 | 870 | 852 | 46 |
| Other sales | 7: Hispanic | 453,580 | 1,770 | 1,746 | 54 |
| Other sales | 8: NonHispanic | 5,439,315 | 21,398 | 20,997 | 1,175 |
| Computer equipment operators | 1: Total | 670,109 | 2,669 | 2,618 | 90 |
| Computer equipment operators | 2: Male | 239,795 | 898 | 884 | 35 |
| Computer equipment operators | 3: Female | 430,315 | 1,771 | 1,734 | 55 |
| Computer equipment operators | 4: White | 551,272 | 2,134 | 2,093 | 62 |
| Computer equipment operators | 5: Black | 94,249 | 443 | 434 | 25 |
| Computer equipment operators | 6: Other | 24,588 | 92 | 91 | 3 |
| Computer equipment operators | 7: Hispanic | 42,368 | 159 | 158 | 4 |
| Computer equipment operators | 8: NonHispanic | 627,741 | 2,510 | 2,460 | 86 |
| Secretaries, stenographers and typists | 1: Total | 4,413,986 | 17,666 | 17,350 | 672 |
| Secretaries, stenographers and typists | 2: Male | 82,392 | 318 | 310 | 28 |
| Secretaries, stenographers and typists | 3: Female | 4,331,594 | 17,348 | 17,040 | 644 |
| Secretaries, stenographers and typists | 4: White | 3,926,331 | 15,405 | 15,126 | 602 |
| Secretaries, stenographers and typists | 5: Black | 383,375 | 1,888 | 1,857 | 62 |
| Secretaries, stenographers and typists | 6: Other | 104,279 | 373 | 367 | 8 |
| Secretaries, stenographers and typists | 7: Hispanic | 268,104 | 1,053 | 1,035 | 29 |
| Secretaries, stenographers and typists | 8: NonHispanic | 4,145,882 | 16,613 | 16,315 | 643 |
| Financial records processing occs | 1: Total | 2,245,512 | 8,945 | 8,818 | 495 |
| Financial records processing occs | 2: Male | 220,612 | 828 | 817 | 84 |
| Financial records processing occs | 3: Female | 2,024,900 | 8,117 | 8,001 | 411 |
| Financial records processing occs | 4: White | 2,018,647 | 7,968 | 7,855 | 459 |
| Financial records processing occs | 5: Black | 141,277 | 664 | 656 | 22 |
| Financial records processing occs | 6: Other | 85,588 | 313 | 307 | 14 |
| Financial records processing occs | 7: Hispanic | 118,397 | 471 | 467 | 17 |
| Financial records processing occs | 8: NonHispanic | 2,127,115 | 8,474 | 8,351 | 478 |
| Mail and message distributing | 1: Total | 914,844 | 3,735 | 3,675 | 211 |
| Mail and message distributing | 2: Male | 583,219 | 2,307 | 2,267 | 169 |
| Mail and message distributing | 3: Female | 331,625 | 1,428 | 1,408 | 42 |
| Mail and message distributing | 4: White | 694,766 | 2,729 | 2,689 | 158 |
| Mail and message distributing | 5: Black | 178,086 | 850 | 833 | 47 |
| Mail and message distributing | 6: Other | 41,992 | 156 | 153 | 6 |
| Mail and message distributing | 7: Hispanic | 72,808 | 280 | 278 | 14 |
| Mail and message distributing | 8: NonHispanic | 842,036 | 3,455 | 3,397 | 197 |
| Other administrative support | 1: Total | 9,296,535 | 37,119 | 36,519 | 1,711 |
| Other administrative support | 2: Male | 2,592,119 | 9,841 | 9,687 | 662 |
| Other administrative support | 3: Female | 6,704,416 | 27,278 | 26,832 | 1,049 |
| Other administrative support | 4: White | 7,787,826 | 30,337 | 29,869 | 1,386 |
| Other administrative support | 5: Black | 1,176,476 | 5,555 | 5,447 | 277 |
| Other administrative support | 6: Other | 332,234 | 1,227 | 1,203 | 48 |
| Other administrative support | 7: Hispanic | 733,149 | 2,857 | 2,810 | 114 |
| Other administrative support | 8: NonHispanic | 8,563,386 | 34,262 | 33,709 | 1,597 |
| Private household occs | 1: Total | 761,954 | 3,324 | 3,286 | 363 |
| Private household occs | 2: Male | 36,030 | 144 | 143 | 19 |
| Private household occs | 3: Female | 725,924 | 3,180 | 3,143 | 344 |
| Private household occs | 4: White | 525,115 | 2,092 | 2,061 | 172 |
| Private household occs | 5: Black | 215,855 | 1,155 | 1,150 | 187 |
| Private household occs | 6: Other | 20,984 | 77 | 75 | 4 |
| Private household occs | 7: Hispanic | 128,949 | 522 | 514 | 22 |
| Private household occs | 8: NonHispanic | 633,005 | 2,802 | 2,772 | 341 |
| Police and firefighters | 1: Total | 1,157,796 | 4,471 | 4,378 | 197 |
| Police and firefighters | 2: Male | 1,021,431 | 3,899 | 3,817 | 185 |
| Police and firefighters | 3: Female | 136,365 | 572 | 561 | 12 |
| Police and firefighters | 4: White | 973,160 | 3,722 | 3,650 | 165 |
| Police and firefighters | 5: Black | 163,151 | 675 | 661 | 31 |
| Police and firefighters | 6: Other | 21,485 | 74 | 67 | 1 |
| Police and firefighters | 7: Hispanic | 74,433 | 281 | 275 | 10 |
| Police and firefighters | 8: NonHispanic | 1,083,362 | 4,190 | 4,103 | 187 |
| Other protective service occs | 1: Total | 793,111 | 3,140 | 3,090 | 370 |
| Other protective service occs | 2: Male | 638,415 | 2,488 | 2,450 | 331 |
| Other protective service occs | 3: Female | 154,696 | 652 | 640 | 39 |
| Other protective service occs | 4: White | 596,080 | 2,251 | 2,209 | 264 |
| Other protective service occs | 5: Black | 172,579 | 794 | 787 | 97 |
| Other protective service occs | 6: Other | 24,452 | 95 | 94 | 9 |
| Other protective service occs | 7: Hispanic | 57,736 | 224 | 218 | 13 |
| Other protective service occs | 8: NonHispanic | 735,375 | 2,916 | 2,872 | 357 |
| Food service | 1: Total | 4,570,186 | 18,097 | 17,861 | 929 |
| Food service | 2: Male | 1,734,081 | 6,577 | 6,490 | 360 |
| Food service | 3: Female | 2,836,105 | 11,520 | 11,371 | 569 |
| Food service | 4: White | 3,677,566 | 14,187 | 14,008 | 703 |
| Food service | 5: Black | 604,271 | 2,870 | 2,831 | 187 |
| Food service | 6: Other | 288,349 | 1,040 | 1,022 | 39 |
| Food service | 7: Hispanic | 537,477 | 2,080 | 2,052 | 90 |
| Food service | 8: NonHispanic | 4,032,710 | 16,017 | 15,809 | 839 |
| Health service | 1: Total | 1,986,806 | 8,508 | 8,407 | 479 |
| Health service | 2: Male | 207,785 | 820 | 808 | 58 |
| Health service | 3: Female | 1,779,022 | 7,688 | 7,599 | 421 |
| Health service | 4: White | 1,377,005 | 5,477 | 5,409 | 287 |
| Health service | 5: Black | 529,021 | 2,721 | 2,696 | 185 |
| Health service | 6: Other | 80,780 | 310 | 302 | 7 |
| Health service | 7: Hispanic | 157,020 | 632 | 624 | 30 |
| Health service | 8: NonHispanic | 1,829,786 | 7,876 | 7,783 | 449 |
| Cleaning and building service | 1: Total | 2,836,111 | 11,852 | 11,701 | 1,115 |
| Cleaning and building service | 2: Male | 1,666,580 | 6,748 | 6,655 | 760 |
| Cleaning and building service | 3: Female | 1,169,530 | 5,104 | 5,046 | 355 |
| Cleaning and building service | 4: White | 2,035,113 | 8,022 | 7,914 | 700 |
| Cleaning and building service | 5: Black | 670,658 | 3,368 | 3,332 | 381 |
| Cleaning and building service | 6: Other | 130,339 | 462 | 455 | 34 |
| Cleaning and building service | 7: Hispanic | 397,872 | 1,583 | 1,563 | 92 |
| Cleaning and building service | 8: NonHispanic | 2,438,238 | 10,269 | 10,138 | 1,023 |
| Personal service | 1: Total | 2,356,169 | 9,494 | 9,341 | 524 |
| Personal service | 2: Male | 426,790 | 1,639 | 1,604 | 162 |
| Personal service | 3: Female | 1,929,380 | 7,855 | 7,737 | 362 |
| Personal service | 4: White | 1,985,097 | 7,754 | 7,621 | 379 |
| Personal service | 5: Black | 276,853 | 1,408 | 1,392 | 127 |
| Personal service | 6: Other | 94,219 | 332 | 328 | 18 |
| Personal service | 7: Hispanic | 185,720 | 730 | 719 | 39 |
| Personal service | 8: NonHispanic | 2,170,450 | 8,764 | 8,622 | 485 |
| Farm operators and managers | 1: Total | 1,399,369 | 5,843 | 5,739 | 825 |
| Farm operators and managers | 2: Male | 1,168,400 | 4,849 | 4,763 | 740 |
| Farm operators and managers | 3: Female | 230,968 | 994 | 976 | 85 |
| Farm operators and managers | 4: White | 1,360,005 | 5,690 | 5,589 | 792 |
| Farm operators and managers | 5: Black | 26,581 | 101 | 100 | 26 |
| Farm operators and managers | 6: Other | 12,783 | 52 | 50 | 7 |
| Farm operators and managers | 7: Hispanic | 42,237 | 166 | 158 | 17 |
| Farm operators and managers | 8: NonHispanic | 1,357,132 | 5,677 | 5,581 | 808 |
| Farm workers and other agricultural workers | 1: Total | 1,616,443 | 6,463 | 6,385 | 536 |
| Farm workers and other agricultural workers | 2: Male | 1,322,851 | 5,271 | 5,214 | 479 |
| Farm workers and other agricultural workers | 3: Female | 293,592 | 1,192 | 1,171 | 57 |
| Farm workers and other agricultural workers | 4: White | 1,421,858 | 5,625 | 5,553 | 404 |
| Farm workers and other agricultural workers | 5: Black | 158,075 | 698 | 693 | 115 |
| Farm workers and other agricultural workers | 6: Other | 36,510 | 140 | 139 | 17 |
| Farm workers and other agricultural workers | 7: Hispanic | 373,069 | 1,489 | 1,467 | 86 |
| Farm workers and other agricultural workers | 8: NonHispanic | 1,243,374 | 4,974 | 4,918 | 450 |
| Forestry and fishing occs | 1: Total | 199,857 | 736 | 725 | 66 |
| Forestry and fishing occs | 2: Male | 191,542 | 704 | 694 | 64 |
| Forestry and fishing occs | 3: Female | 8,315 | 32 | 31 | 2 |
| Forestry and fishing occs | 4: White | 170,245 | 620 | 609 | 48 |
| Forestry and fishing occs | 5: Black | 23,999 | 98 | 98 | 16 |
| Forestry and fishing occs | 6: Other | 5,614 | 18 | 18 | 2 |
| Forestry and fishing occs | 7: Hispanic | 6,092 | 25 | 24 | 0 |
| Forestry and fishing occs | 8: NonHispanic | 193,766 | 711 | 701 | 66 |
| Mechanics and repairers | 1: Total | 4,203,192 | 16,258 | 16,043 | 1,067 |
| Mechanics and repairers | 2: Male | 4,037,571 | 15,585 | 15,383 | 1,042 |
| Mechanics and repairers | 3: Female | 165,622 | 673 | 660 | 25 |
| Mechanics and repairers | 4: White | 3,756,127 | 14,399 | 14,212 | 917 |
| Mechanics and repairers | 5: Black | 334,805 | 1,459 | 1,433 | 127 |
| Mechanics and repairers | 6: Other | 112,260 | 400 | 398 | 23 |
| Mechanics and repairers | 7: Hispanic | 312,662 | 1,190 | 1,175 | 76 |
| Mechanics and repairers | 8: NonHispanic | 3,890,530 | 15,068 | 14,868 | 991 |
| Construction and extractive trades | 1: Total | 4,960,923 | 19,111 | 18,804 | 1,201 |
| Construction and extractive trades | 2: Male | 4,852,370 | 18,665 | 18,364 | 1,188 |
| Construction and extractive trades | 3: Female | 108,553 | 446 | 440 | 13 |
| Construction and extractive trades | 4: White | 4,502,359 | 17,140 | 16,862 | 1,017 |
| Construction and extractive trades | 5: Black | 350,909 | 1,589 | 1,565 | 161 |
| Construction and extractive trades | 6: Other | 107,655 | 382 | 377 | 23 |
| Construction and extractive trades | 7: Hispanic | 451,211 | 1,717 | 1,691 | 96 |
| Construction and extractive trades | 8: NonHispanic | 4,509,712 | 17,394 | 17,113 | 1,105 |
| Precision production occs | 1: Total | 3,766,588 | 14,874 | 14,692 | 955 |
| Precision production occs | 2: Male | 2,894,734 | 11,282 | 11,142 | 794 |
| Precision production occs | 3: Female | 871,854 | 3,592 | 3,550 | 161 |
| Precision production occs | 4: White | 3,299,504 | 12,844 | 12,693 | 805 |
| Precision production occs | 5: Black | 310,343 | 1,435 | 1,414 | 119 |
| Precision production occs | 6: Other | 156,740 | 595 | 585 | 31 |
| Precision production occs | 7: Hispanic | 343,542 | 1,326 | 1,314 | 72 |
| Precision production occs | 8: NonHispanic | 3,423,046 | 13,548 | 13,378 | 883 |
| Machine operators/tenderers, except precision | 1: Total | 5,221,401 | 21,002 | 20,793 | 1,351 |
| Machine operators/tenderers, except precision | 2: Male | 3,134,398 | 12,267 | 12,146 | 871 |
| Machine operators/tenderers, except precision | 3: Female | 2,087,003 | 8,735 | 8,647 | 480 |
| Machine operators/tenderers, except precision | 4: White | 4,210,362 | 16,448 | 16,287 | 995 |
| Machine operators/tenderers, except precision | 5: Black | 794,809 | 3,729 | 3,694 | 312 |
| Machine operators/tenderers, except precision | 6: Other | 216,230 | 825 | 812 | 44 |
| Machine operators/tenderers, except precision | 7: Hispanic | 660,521 | 2,637 | 2,617 | 148 |
| Machine operators/tenderers, except precision | 8: NonHispanic | 4,560,880 | 18,365 | 18,176 | 1,203 |
| Fabricators, assemblers, inspectors, samplers | 1: Total | 2,566,964 | 10,312 | 10,184 | 563 |
| Fabricators, assemblers, inspectors, samplers | 2: Male | 1,581,326 | 6,209 | 6,135 | 359 |
| Fabricators, assemblers, inspectors, samplers | 3: Female | 985,638 | 4,103 | 4,049 | 204 |
| Fabricators, assemblers, inspectors, samplers | 4: White | 2,118,235 | 8,334 | 8,234 | 440 |
| Fabricators, assemblers, inspectors, samplers | 5: Black | 336,777 | 1,541 | 1,521 | 106 |
| Fabricators, assemblers, inspectors, samplers | 6: Other | 111,951 | 437 | 429 | 17 |
| Fabricators, assemblers, inspectors, samplers | 7: Hispanic | 298,407 | 1,197 | 1,183 | 54 |
| Fabricators, assemblers, inspectors, samplers | 8: NonHispanic | 2,268,557 | 9,115 | 9,001 | 509 |
| Motor vehicle operators | 1: Total | 3,529,824 | 14,053 | 13,852 | 1,161 |
| Motor vehicle operators | 2: Male | 3,147,698 | 12,448 | 12,268 | 1,078 |
| Motor vehicle operators | 3: Female | 382,126 | 1,605 | 1,584 | 83 |
| Motor vehicle operators | 4: White | 2,907,359 | 11,318 | 11,149 | 884 |
| Motor vehicle operators | 5: Black | 536,222 | 2,421 | 2,397 | 250 |
| Motor vehicle operators | 6: Other | 86,243 | 314 | 306 | 27 |
| Motor vehicle operators | 7: Hispanic | 276,992 | 1,051 | 1,032 | 73 |
| Motor vehicle operators | 8: NonHispanic | 3,252,832 | 13,002 | 12,820 | 1,088 |
| Other transportation, except motor vehicles | 1: Total | 176,360 | 668 | 657 | 39 |
| Other transportation, except motor vehicles | 2: Male | 170,736 | 645 | 635 | 38 |
| Other transportation, except motor vehicles | 3: Female | 5,625 | 23 | 22 | 1 |
| Other transportation, except motor vehicles | 4: White | 160,282 | 598 | 587 | 35 |
| Other transportation, except motor vehicles | 5: Black | 13,492 | 63 | 63 | 4 |
| Other transportation, except motor vehicles | 6: Other | 2,587 | 7 | 7 | 0 |
| Other transportation, except motor vehicles | 7: Hispanic | 6,341 | 21 | 20 | 2 |
| Other transportation, except motor vehicles | 8: NonHispanic | 170,020 | 647 | 637 | 37 |
| Material moving equipment operators | 1: Total | 1,094,233 | 4,326 | 4,282 | 329 |
| Material moving equipment operators | 2: Male | 1,035,934 | 4,084 | 4,040 | 326 |
| Material moving equipment operators | 3: Female | 58,299 | 242 | 242 | 3 |
| Material moving equipment operators | 4: White | 919,315 | 3,575 | 3,535 | 246 |
| Material moving equipment operators | 5: Black | 152,242 | 663 | 660 | 79 |
| Material moving equipment operators | 6: Other | 22,676 | 88 | 87 | 4 |
| Material moving equipment operators | 7: Hispanic | 88,147 | 352 | 350 | 19 |
| Material moving equipment operators | 8: NonHispanic | 1,006,086 | 3,974 | 3,932 | 310 |
| Construction laborers | 1: Total | 697,191 | 2,707 | 2,662 | 183 |
| Construction laborers | 2: Male | 676,315 | 2,625 | 2,583 | 179 |
| Construction laborers | 3: Female | 20,877 | 82 | 79 | 4 |
| Construction laborers | 4: White | 585,900 | 2,216 | 2,179 | 129 |
| Construction laborers | 5: Black | 97,045 | 440 | 434 | 49 |
| Construction laborers | 6: Other | 14,246 | 51 | 49 | 5 |
| Construction laborers | 7: Hispanic | 111,458 | 427 | 413 | 17 |
| Construction laborers | 8: NonHispanic | 585,733 | 2,280 | 2,249 | 166 |
| Freight, stock, material handlers | 1: Total | 3,410,507 | 13,517 | 13,362 | 843 |
| Freight, stock, material handlers | 2: Male | 2,627,018 | 10,246 | 10,131 | 688 |
| Freight, stock, material handlers | 3: Female | 783,489 | 3,271 | 3,231 | 155 |
| Freight, stock, material handlers | 4: White | 2,733,823 | 10,550 | 10,421 | 592 |
| Freight, stock, material handlers | 5: Black | 564,450 | 2,561 | 2,540 | 221 |
| Freight, stock, material handlers | 6: Other | 112,233 | 406 | 401 | 30 |
| Freight, stock, material handlers | 7: Hispanic | 379,154 | 1,469 | 1,455 | 70 |
| Freight, stock, material handlers | 8: NonHispanic | 3,031,353 | 12,048 | 11,907 | 773 |