| Table 2. Occupational Groups, Number of Deaths, Sample Sizes, and Population Estimates by 206 Occupations | ||||||
| US Census Occupational Code (206 ONLY) | Occupation 206 Classes | Group | Estimated US Worker Population | Sample Size | Mortality Follow Up Sample Size | Number of Deaths |
| 5 | Administrators/officials, public administration | 1: Total | 434,916 | 1,737 | 1,700 | 52 |
| 5 | Administrators/officials, public administration | 2: Male | 237,832 | 917 | 900 | 36 |
| 5 | Administrators/officials, public administration | 3: Female | 197,084 | 820 | 800 | 16 |
| 5 | Administrators/officials, public administration | 4: White | 377,045 | 1,490 | 1,454 | 45 |
| 5 | Administrators/officials, public administration | 5: Black | 40,408 | 184 | 183 | 6 |
| 5 | Administrators/officials, public administration | 6: Other | 17,464 | 63 | 63 | 1 |
| 5 | Administrators/officials, public administration | 7: Hispanic | 19,368 | 75 | 72 | 3 |
| 5 | Administrators/officials, public administration | 8: NonHispanic | 415,549 | 1,662 | 1,628 | 49 |
| 7 | Financial managers | 1: Total | 516,489 | 2,050 | 2,009 | 46 |
| 7 | Financial managers | 2: Male | 290,553 | 1,122 | 1,096 | 33 |
| 7 | Financial managers | 3: Female | 225,936 | 928 | 913 | 13 |
| 7 | Financial managers | 4: White | 470,184 | 1,866 | 1,830 | 45 |
| 7 | Financial managers | 5: Black | 27,663 | 116 | 115 | 1 |
| 7 | Financial managers | 6: Other | 18,642 | 68 | 64 | 0 |
| 7 | Financial managers | 7: Hispanic | 23,398 | 93 | 91 | 4 |
| 7 | Financial managers | 8: NonHispanic | 493,091 | 1,957 | 1,918 | 42 |
| 8 | Personnel and labor relations managers | 1: Total | 145,879 | 569 | 555 | 7 |
| 8 | Personnel and labor relations managers | 2: Male | 70,491 | 272 | 264 | 5 |
| 8 | Personnel and labor relations managers | 3: Female | 75,389 | 297 | 291 | 2 |
| 8 | Personnel and labor relations managers | 4: White | 133,270 | 514 | 500 | 7 |
| 8 | Personnel and labor relations managers | 5: Black | 9,918 | 45 | 45 | 0 |
| 8 | Personnel and labor relations managers | 6: Other | 2,691 | 10 | 10 | 0 |
| 8 | Personnel and labor relations managers | 7: Hispanic | 4,976 | 19 | 19 | 0 |
| 8 | Personnel and labor relations managers | 8: NonHispanic | 140,903 | 550 | 536 | 7 |
| 9 | Purchasing managers | 1: Total | 122,582 | 479 | 471 | 10 |
| 9 | Purchasing managers | 2: Male | 80,853 | 305 | 299 | 6 |
| 9 | Purchasing managers | 3: Female | 41,729 | 174 | 172 | 4 |
| 9 | Purchasing managers | 4: White | 108,587 | 424 | 417 | 10 |
| 9 | Purchasing managers | 5: Black | 10,684 | 41 | 41 | 0 |
| 9 | Purchasing managers | 6: Other | 3,311 | 14 | 13 | 0 |
| 9 | Purchasing managers | 7: Hispanic | 1,684 | 7 | 7 | 1 |
| 9 | Purchasing managers | 8: NonHispanic | 120,898 | 472 | 464 | 9 |
| 13 | Managers/marketing/advertising/PR | 1: Total | 637,557 | 2,502 | 2,446 | 41 |
| 13 | Managers/marketing/advertising/PR | 2: Male | 435,903 | 1,694 | 1,655 | 32 |
| 13 | Managers/marketing/advertising/PR | 3: Female | 201,654 | 808 | 791 | 9 |
| 13 | Managers/marketing/advertising/PR | 4: White | 598,994 | 2,358 | 2,305 | 40 |
| 13 | Managers/marketing/advertising/PR | 5: Black | 24,634 | 95 | 93 | 1 |
| 13 | Managers/marketing/advertising/PR | 6: Other | 13,929 | 49 | 48 | 0 |
| 13 | Managers/marketing/advertising/PR | 7: Hispanic | 24,947 | 90 | 85 | 1 |
| 13 | Managers/marketing/advertising/PR | 8: NonHispanic | 612,611 | 2,412 | 2,361 | 40 |
| 14 | Administrators, education and related fields | 1: Total | 532,733 | 2,131 | 2,082 | 44 |
| 14 | Administrators, education and related fields | 2: Male | 250,290 | 980 | 957 | 28 |
| 14 | Administrators, education and related fields | 3: Female | 282,442 | 1,151 | 1,125 | 16 |
| 14 | Administrators, education and related fields | 4: White | 463,963 | 1,832 | 1,789 | 37 |
| 14 | Administrators, education and related fields | 5: Black | 58,624 | 261 | 255 | 7 |
| 14 | Administrators, education and related fields | 6: Other | 10,146 | 38 | 38 | 0 |
| 14 | Administrators, education and related fields | 7: Hispanic | 20,122 | 82 | 82 | 2 |
| 14 | Administrators, education and related fields | 8: NonHispanic | 512,610 | 2,049 | 2,000 | 42 |
| 15 | Managers, medicine and health | 1: Total | 257,406 | 1,009 | 981 | 11 |
| 15 | Managers, medicine and health | 2: Male | 80,541 | 309 | 295 | 6 |
| 15 | Managers, medicine and health | 3: Female | 176,865 | 700 | 686 | 5 |
| 15 | Managers, medicine and health | 4: White | 225,557 | 870 | 846 | 9 |
| 15 | Managers, medicine and health | 5: Black | 24,524 | 110 | 106 | 1 |
| 15 | Managers, medicine and health | 6: Other | 7,325 | 29 | 29 | 1 |
| 15 | Managers, medicine and health | 7: Hispanic | 11,755 | 43 | 43 | 2 |
| 15 | Managers, medicine and health | 8: NonHispanic | 245,651 | 966 | 938 | 9 |
| 18 | Managers, properties and real estate | 1: Total | 424,823 | 1,655 | 1,608 | 84 |
| 18 | Managers, properties and real estate | 2: Male | 228,170 | 881 | 847 | 59 |
| 18 | Managers, properties and real estate | 3: Female | 196,652 | 774 | 761 | 25 |
| 18 | Managers, properties and real estate | 4: White | 384,861 | 1,482 | 1,442 | 79 |
| 18 | Managers, properties and real estate | 5: Black | 29,675 | 135 | 131 | 4 |
| 18 | Managers, properties and real estate | 6: Other | 10,286 | 38 | 35 | 1 |
| 18 | Managers, properties and real estate | 7: Hispanic | 24,180 | 97 | 94 | 4 |
| 18 | Managers, properties and real estate | 8: NonHispanic | 400,643 | 1,558 | 1,514 | 80 |
| 22 | Managers and administrators | 1: Total | 8,609,388 | 33,553 | 32,649 | 945 |
| 22 | Managers and administrators | 2: Male | 5,760,962 | 22,108 | 21,497 | 746 |
| 22 | Managers and administrators | 3: Female | 2,848,426 | 11,445 | 11,152 | 199 |
| 22 | Managers and administrators | 4: White | 7,891,127 | 30,560 | 29,748 | 846 |
| 22 | Managers and administrators | 5: Black | 437,418 | 1,917 | 1,867 | 79 |
| 22 | Managers and administrators | 6: Other | 280,842 | 1,076 | 1,034 | 20 |
| 22 | Managers and administrators | 7: Hispanic | 424,777 | 1,622 | 1,581 | 31 |
| 22 | Managers and administrators | 8: NonHispanic | 8,184,610 | 31,931 | 31,068 | 914 |
| 23 | Accountants and auditors | 1: Total | 1,449,425 | 5,647 | 5,490 | 104 |
| 23 | Accountants and auditors | 2: Male | 700,754 | 2,633 | 2,561 | 81 |
| 23 | Accountants and auditors | 3: Female | 748,671 | 3,014 | 2,929 | 23 |
| 23 | Accountants and auditors | 4: White | 1,258,209 | 4,865 | 4,739 | 91 |
| 23 | Accountants and auditors | 5: Black | 106,603 | 466 | 446 | 10 |
| 23 | Accountants and auditors | 6: Other | 84,613 | 316 | 305 | 3 |
| 23 | Accountants and auditors | 7: Hispanic | 69,340 | 269 | 260 | 5 |
| 23 | Accountants and auditors | 8: NonHispanic | 1,380,086 | 5,378 | 5,230 | 99 |
| 25 | Other financial officers | 1: Total | 727,887 | 2,856 | 2,767 | 62 |
| 25 | Other financial officers | 2: Male | 375,925 | 1,436 | 1,389 | 40 |
| 25 | Other financial officers | 3: Female | 351,962 | 1,420 | 1,378 | 22 |
| 25 | Other financial officers | 4: White | 655,800 | 2,558 | 2,482 | 55 |
| 25 | Other financial officers | 5: Black | 44,236 | 191 | 182 | 6 |
| 25 | Other financial officers | 6: Other | 27,850 | 107 | 103 | 1 |
| 25 | Other financial officers | 7: Hispanic | 41,048 | 152 | 150 | 2 |
| 25 | Other financial officers | 8: NonHispanic | 686,838 | 2,704 | 2,617 | 60 |
| 26 | Management analysts | 1: Total | 207,706 | 823 | 797 | 32 |
| 26 | Management analysts | 2: Male | 137,577 | 530 | 508 | 26 |
| 26 | Management analysts | 3: Female | 70,129 | 293 | 289 | 6 |
| 26 | Management analysts | 4: White | 190,942 | 749 | 724 | 31 |
| 26 | Management analysts | 5: Black | 9,673 | 48 | 48 | 1 |
| 26 | Management analysts | 6: Other | 7,090 | 26 | 25 | 0 |
| 26 | Management analysts | 7: Hispanic | 6,690 | 26 | 24 | 2 |
| 26 | Management analysts | 8: NonHispanic | 201,016 | 797 | 773 | 30 |
| 27 | Personnel/training/labor relations specialists | 1: Total | 429,136 | 1,707 | 1,665 | 36 |
| 27 | Personnel/training/labor relations specialists | 2: Male | 184,738 | 714 | 700 | 26 |
| 27 | Personnel/training/labor relations specialists | 3: Female | 244,398 | 993 | 965 | 10 |
| 27 | Personnel/training/labor relations specialists | 4: White | 368,799 | 1,448 | 1,411 | 35 |
| 27 | Personnel/training/labor relations specialists | 5: Black | 50,123 | 219 | 214 | 1 |
| 27 | Personnel/training/labor relations specialists | 6: Other | 10,214 | 40 | 40 | 0 |
| 27 | Personnel/training/labor relations specialists | 7: Hispanic | 23,144 | 89 | 88 | 1 |
| 27 | Personnel/training/labor relations specialists | 8: NonHispanic | 405,992 | 1,618 | 1,577 | 35 |
| 29 | Buyers, wholesale/retail trade except farm products | 1: Total | 191,990 | 736 | 721 | 18 |
| 29 | Buyers, wholesale/retail trade except farm products | 2: Male | 84,773 | 323 | 317 | 11 |
| 29 | Buyers, wholesale/retail trade except farm products | 3: Female | 107,217 | 413 | 404 | 7 |
| 29 | Buyers, wholesale/retail trade except farm products | 4: White | 182,261 | 698 | 684 | 18 |
| 29 | Buyers, wholesale/retail trade except farm products | 5: Black | 5,199 | 24 | 23 | 0 |
| 29 | Buyers, wholesale/retail trade except farm products | 6: Other | 4,530 | 14 | 14 | 0 |
| 29 | Buyers, wholesale/retail trade except farm products | 7: Hispanic | 11,166 | 42 | 42 | 1 |
| 29 | Buyers, wholesale/retail trade except farm products | 8: NonHispanic | 180,824 | 694 | 679 | 17 |
| 33 | Purchasing agents and buyers | 1: Total | 260,021 | 1,007 | 981 | 22 |
| 33 | Purchasing agents and buyers | 2: Male | 135,805 | 523 | 510 | 16 |
| 33 | Purchasing agents and buyers | 3: Female | 124,216 | 484 | 471 | 6 |
| 33 | Purchasing agents and buyers | 4: White | 240,255 | 920 | 896 | 20 |
| 33 | Purchasing agents and buyers | 5: Black | 16,511 | 73 | 71 | 2 |
| 33 | Purchasing agents and buyers | 6: Other | 3,255 | 14 | 14 | 0 |
| 33 | Purchasing agents and buyers | 7: Hispanic | 11,359 | 41 | 41 | 1 |
| 33 | Purchasing agents and buyers | 8: NonHispanic | 248,662 | 966 | 940 | 21 |
| 36 | Inspectors/compliance officers, except construction | 1: Total | 183,364 | 713 | 700 | 28 |
| 36 | Inspectors/compliance officers, except construction | 2: Male | 126,705 | 487 | 479 | 22 |
| 36 | Inspectors/compliance officers, except construction | 3: Female | 56,659 | 226 | 221 | 6 |
| 36 | Inspectors/compliance officers, except construction | 4: White | 155,299 | 595 | 586 | 20 |
| 36 | Inspectors/compliance officers, except construction | 5: Black | 22,404 | 99 | 96 | 7 |
| 36 | Inspectors/compliance officers, except construction | 6: Other | 5,661 | 19 | 18 | 1 |
| 36 | Inspectors/compliance officers, except construction | 7: Hispanic | 12,274 | 45 | 43 | 2 |
| 36 | Inspectors/compliance officers, except construction | 8: NonHispanic | 171,090 | 668 | 657 | 26 |
| 37 | Management related occs | 1: Total | 371,203 | 1,476 | 1,442 | 19 |
| 37 | Management related occs | 2: Male | 57,908 | 216 | 213 | 4 |
| 37 | Management related occs | 3: Female | 313,295 | 1,260 | 1,229 | 15 |
| 37 | Management related occs | 4: White | 319,117 | 1,244 | 1,216 | 17 |
| 37 | Management related occs | 5: Black | 36,745 | 171 | 167 | 2 |
| 37 | Management related occs | 6: Other | 15,341 | 61 | 59 | 0 |
| 37 | Management related occs | 7: Hispanic | 21,261 | 84 | 82 | 2 |
| 37 | Management related occs | 8: NonHispanic | 349,942 | 1,392 | 1,360 | 17 |
| 43 | Architects | 1: Total | 176,710 | 680 | 665 | 15 |
| 43 | Architects | 2: Male | 153,567 | 587 | 574 | 15 |
| 43 | Architects | 3: Female | 23,143 | 93 | 91 | 0 |
| 43 | Architects | 4: White | 162,108 | 623 | 609 | 13 |
| 43 | Architects | 5: Black | 6,366 | 24 | 23 | 0 |
| 43 | Architects | 6: Other | 8,236 | 33 | 33 | 2 |
| 43 | Architects | 7: Hispanic | 12,774 | 50 | 50 | 1 |
| 43 | Architects | 8: NonHispanic | 163,936 | 630 | 615 | 14 |
| 44 | Aerospace | 1: Total | 115,384 | 452 | 439 | 13 |
| 44 | Aerospace | 2: Male | 108,773 | 425 | 413 | 13 |
| 44 | Aerospace | 3: Female | 6,612 | 27 | 26 | 0 |
| 44 | Aerospace | 4: White | 104,395 | 408 | 397 | 13 |
| 44 | Aerospace | 5: Black | 2,570 | 11 | 10 | 0 |
| 44 | Aerospace | 6: Other | 8,418 | 33 | 32 | 0 |
| 44 | Aerospace | 7: Hispanic | 3,735 | 13 | 13 | 0 |
| 44 | Aerospace | 8: NonHispanic | 111,649 | 439 | 426 | 13 |
| 53 | Civil | 1: Total | 264,614 | 1,015 | 980 | 16 |
| 53 | Civil | 2: Male | 248,854 | 952 | 918 | 16 |
| 53 | Civil | 3: Female | 15,759 | 63 | 62 | 0 |
| 53 | Civil | 4: White | 233,004 | 897 | 863 | 14 |
| 53 | Civil | 5: Black | 11,165 | 43 | 42 | 1 |
| 53 | Civil | 6: Other | 20,444 | 75 | 75 | 1 |
| 53 | Civil | 7: Hispanic | 13,090 | 48 | 47 | 0 |
| 53 | Civil | 8: NonHispanic | 251,524 | 967 | 933 | 16 |
| 55 | Electrical and electronic | 1: Total | 592,715 | 2,274 | 2,204 | 34 |
| 55 | Electrical and electronic | 2: Male | 543,197 | 2,075 | 2,011 | 33 |
| 55 | Electrical and electronic | 3: Female | 49,518 | 199 | 193 | 1 |
| 55 | Electrical and electronic | 4: White | 518,640 | 1,989 | 1,927 | 30 |
| 55 | Electrical and electronic | 5: Black | 28,944 | 109 | 106 | 2 |
| 55 | Electrical and electronic | 6: Other | 45,131 | 176 | 171 | 2 |
| 55 | Electrical and electronic | 7: Hispanic | 20,764 | 82 | 81 | 3 |
| 55 | Electrical and electronic | 8: NonHispanic | 571,951 | 2,192 | 2,123 | 31 |
| 56 | Industrial | 1: Total | 234,775 | 920 | 901 | 19 |
| 56 | Industrial | 2: Male | 200,847 | 781 | 763 | 17 |
| 56 | Industrial | 3: Female | 33,928 | 139 | 138 | 2 |
| 56 | Industrial | 4: White | 210,888 | 824 | 807 | 15 |
| 56 | Industrial | 5: Black | 11,813 | 52 | 50 | 4 |
| 56 | Industrial | 6: Other | 12,074 | 44 | 44 | 0 |
| 56 | Industrial | 7: Hispanic | 7,319 | 26 | 24 | 0 |
| 56 | Industrial | 8: NonHispanic | 227,456 | 894 | 877 | 19 |
| 57 | Mechanical | 1: Total | 330,773 | 1,255 | 1,211 | 30 |
| 57 | Mechanical | 2: Male | 315,885 | 1,196 | 1,154 | 30 |
| 57 | Mechanical | 3: Female | 14,888 | 59 | 57 | 0 |
| 57 | Mechanical | 4: White | 293,040 | 1,121 | 1,085 | 26 |
| 57 | Mechanical | 5: Black | 15,201 | 51 | 46 | 3 |
| 57 | Mechanical | 6: Other | 22,532 | 83 | 80 | 1 |
| 57 | Mechanical | 7: Hispanic | 9,655 | 35 | 34 | 1 |
| 57 | Mechanical | 8: NonHispanic | 321,118 | 1,220 | 1,177 | 29 |
| 59 | Engineers | 1: Total | 285,379 | 1,081 | 1,050 | 25 |
| 59 | Engineers | 2: Male | 262,140 | 987 | 956 | 22 |
| 59 | Engineers | 3: Female | 23,239 | 94 | 94 | 3 |
| 59 | Engineers | 4: White | 254,567 | 956 | 928 | 23 |
| 59 | Engineers | 5: Black | 9,368 | 38 | 38 | 1 |
| 59 | Engineers | 6: Other | 21,444 | 87 | 84 | 1 |
| 59 | Engineers | 7: Hispanic | 10,556 | 41 | 41 | 0 |
| 59 | Engineers | 8: NonHispanic | 274,823 | 1,040 | 1,009 | 25 |
| 64 | Computer systems analysts and scientists | 1: Total | 564,743 | 2,168 | 2,099 | 24 |
| 64 | Computer systems analysts and scientists | 2: Male | 393,336 | 1,493 | 1,456 | 22 |
| 64 | Computer systems analysts and scientists | 3: Female | 171,407 | 675 | 643 | 2 |
| 64 | Computer systems analysts and scientists | 4: White | 484,823 | 1,852 | 1,797 | 21 |
| 64 | Computer systems analysts and scientists | 5: Black | 39,421 | 161 | 153 | 2 |
| 64 | Computer systems analysts and scientists | 6: Other | 40,500 | 155 | 149 | 1 |
| 64 | Computer systems analysts and scientists | 7: Hispanic | 17,252 | 64 | 63 | 0 |
| 64 | Computer systems analysts and scientists | 8: NonHispanic | 547,491 | 2,104 | 2,036 | 24 |
| 65 | Operations/systems researchers and analysts | 1: Total | 279,844 | 1,082 | 1,054 | 12 |
| 65 | Operations/systems researchers and analysts | 2: Male | 163,791 | 610 | 593 | 8 |
| 65 | Operations/systems researchers and analysts | 3: Female | 116,053 | 472 | 461 | 4 |
| 65 | Operations/systems researchers and analysts | 4: White | 241,287 | 930 | 906 | 8 |
| 65 | Operations/systems researchers and analysts | 5: Black | 25,216 | 99 | 97 | 4 |
| 65 | Operations/systems researchers and analysts | 6: Other | 13,341 | 53 | 51 | 0 |
| 65 | Operations/systems researchers and analysts | 7: Hispanic | 11,394 | 46 | 45 | 1 |
| 65 | Operations/systems researchers and analysts | 8: NonHispanic | 268,451 | 1,036 | 1,009 | 11 |
| 73 | Chemists, except biochemists | 1: Total | 124,271 | 476 | 463 | 13 |
| 73 | Chemists, except biochemists | 2: Male | 95,013 | 360 | 348 | 10 |
| 73 | Chemists, except biochemists | 3: Female | 29,258 | 116 | 115 | 3 |
| 73 | Chemists, except biochemists | 4: White | 102,713 | 392 | 381 | 12 |
| 73 | Chemists, except biochemists | 5: Black | 7,721 | 31 | 30 | 0 |
| 73 | Chemists, except biochemists | 6: Other | 13,837 | 53 | 52 | 1 |
| 73 | Chemists, except biochemists | 7: Hispanic | 4,617 | 18 | 18 | 1 |
| 73 | Chemists, except biochemists | 8: NonHispanic | 119,654 | 458 | 445 | 12 |
| 84 | Physicians | 1: Total | 564,555 | 2,193 | 2,090 | 60 |
| 84 | Physicians | 2: Male | 444,900 | 1,713 | 1,620 | 50 |
| 84 | Physicians | 3: Female | 119,655 | 480 | 470 | 10 |
| 84 | Physicians | 4: White | 478,408 | 1,863 | 1,773 | 55 |
| 84 | Physicians | 5: Black | 24,627 | 97 | 90 | 2 |
| 84 | Physicians | 6: Other | 61,520 | 233 | 227 | 3 |
| 84 | Physicians | 7: Hispanic | 34,042 | 124 | 118 | 2 |
| 84 | Physicians | 8: NonHispanic | 530,513 | 2,069 | 1,972 | 58 |
| 85 | Dentists | 1: Total | 139,120 | 557 | 529 | 11 |
| 85 | Dentists | 2: Male | 121,213 | 484 | 460 | 11 |
| 85 | Dentists | 3: Female | 17,908 | 73 | 69 | 0 |
| 85 | Dentists | 4: White | 126,000 | 505 | 480 | 11 |
| 85 | Dentists | 5: Black | 4,094 | 16 | 16 | 0 |
| 85 | Dentists | 6: Other | 9,026 | 36 | 33 | 0 |
| 85 | Dentists | 7: Hispanic | 3,889 | 15 | 14 | 0 |
| 85 | Dentists | 8: NonHispanic | 135,231 | 542 | 515 | 11 |
| 95 | Registered nurses | 1: Total | 1,799,165 | 7,300 | 7,108 | 99 |
| 95 | Registered nurses | 2: Male | 92,522 | 362 | 353 | 3 |
| 95 | Registered nurses | 3: Female | 1,706,643 | 6,938 | 6,755 | 96 |
| 95 | Registered nurses | 4: White | 1,537,400 | 6,131 | 5,968 | 74 |
| 95 | Registered nurses | 5: Black | 172,626 | 815 | 792 | 22 |
| 95 | Registered nurses | 6: Other | 89,139 | 354 | 348 | 3 |
| 95 | Registered nurses | 7: Hispanic | 57,372 | 229 | 223 | 3 |
| 95 | Registered nurses | 8: NonHispanic | 1,741,793 | 7,071 | 6,885 | 96 |
| 96 | Pharmacists | 1: Total | 164,795 | 640 | 617 | 20 |
| 96 | Pharmacists | 2: Male | 96,449 | 374 | 363 | 18 |
| 96 | Pharmacists | 3: Female | 68,346 | 266 | 254 | 2 |
| 96 | Pharmacists | 4: White | 148,253 | 578 | 558 | 18 |
| 96 | Pharmacists | 5: Black | 4,373 | 18 | 18 | 2 |
| 96 | Pharmacists | 6: Other | 12,169 | 44 | 41 | 0 |
| 96 | Pharmacists | 7: Hispanic | 5,287 | 21 | 21 | 2 |
| 96 | Pharmacists | 8: NonHispanic | 159,508 | 619 | 596 | 18 |
| 97 | Dietitians | 1: Total | 105,770 | 426 | 416 | 7 |
| 97 | Dietitians | 2: Male | 13,150 | 50 | 50 | 0 |
| 97 | Dietitians | 3: Female | 92,621 | 376 | 366 | 7 |
| 97 | Dietitians | 4: White | 76,547 | 293 | 289 | 5 |
| 97 | Dietitians | 5: Black | 22,571 | 109 | 106 | 2 |
| 97 | Dietitians | 6: Other | 6,653 | 24 | 21 | 0 |
| 97 | Dietitians | 7: Hispanic | 7,683 | 24 | 23 | 0 |
| 97 | Dietitians | 8: NonHispanic | 98,087 | 402 | 393 | 7 |
| 154 | Postsecondary teachers, subject unspecified | 1: Total | 225,123 | 887 | 865 | 17 |
| 154 | Postsecondary teachers, subject unspecified | 2: Male | 128,234 | 493 | 481 | 12 |
| 154 | Postsecondary teachers, subject unspecified | 3: Female | 96,889 | 394 | 384 | 5 |
| 154 | Postsecondary teachers, subject unspecified | 4: White | 177,407 | 699 | 681 | 16 |
| 154 | Postsecondary teachers, subject unspecified | 5: Black | 15,509 | 66 | 65 | 1 |
| 154 | Postsecondary teachers, subject unspecified | 6: Other | 32,207 | 122 | 119 | 0 |
| 154 | Postsecondary teachers, subject unspecified | 7: Hispanic | 8,057 | 24 | 24 | 0 |
| 154 | Postsecondary teachers, subject unspecified | 8: NonHispanic | 217,066 | 863 | 841 | 17 |
| 155 | Teachers, pre-K and K | 1: Total | 408,944 | 1,650 | 1,617 | 15 |
| 155 | Teachers, pre-K and K | 2: Male | 6,290 | 23 | 22 | 0 |
| 155 | Teachers, pre-K and K | 3: Female | 402,653 | 1,627 | 1,595 | 15 |
| 155 | Teachers, pre-K and K | 4: White | 344,094 | 1,348 | 1,324 | 12 |
| 155 | Teachers, pre-K and K | 5: Black | 52,578 | 257 | 251 | 3 |
| 155 | Teachers, pre-K and K | 6: Other | 12,272 | 45 | 42 | 0 |
| 155 | Teachers, pre-K and K | 7: Hispanic | 25,558 | 99 | 97 | 0 |
| 155 | Teachers, pre-K and K | 8: NonHispanic | 383,386 | 1,551 | 1,520 | 15 |
| 156 | Teachers, elementary school | 1: Total | 1,524,602 | 6,236 | 6,045 | 76 |
| 156 | Teachers, elementary school | 2: Male | 240,550 | 954 | 930 | 21 |
| 156 | Teachers, elementary school | 3: Female | 1,284,053 | 5,282 | 5,115 | 55 |
| 156 | Teachers, elementary school | 4: White | 1,361,322 | 5,452 | 5,295 | 53 |
| 156 | Teachers, elementary school | 5: Black | 140,683 | 698 | 666 | 23 |
| 156 | Teachers, elementary school | 6: Other | 22,597 | 86 | 84 | 0 |
| 156 | Teachers, elementary school | 7: Hispanic | 63,217 | 248 | 237 | 3 |
| 156 | Teachers, elementary school | 8: NonHispanic | 1,461,386 | 5,988 | 5,808 | 73 |
| 157 | Teachers, secondary school | 1: Total | 1,207,921 | 4,792 | 4,659 | 79 |
| 157 | Teachers, secondary school | 2: Male | 528,711 | 2,040 | 1,990 | 44 |
| 157 | Teachers, secondary school | 3: Female | 679,210 | 2,752 | 2,669 | 35 |
| 157 | Teachers, secondary school | 4: White | 1,096,317 | 4,275 | 4,154 | 65 |
| 157 | Teachers, secondary school | 5: Black | 93,839 | 455 | 444 | 12 |
| 157 | Teachers, secondary school | 6: Other | 17,764 | 62 | 61 | 2 |
| 157 | Teachers, secondary school | 7: Hispanic | 46,830 | 173 | 169 | 2 |
| 157 | Teachers, secondary school | 8: NonHispanic | 1,161,090 | 4,619 | 4,490 | 77 |
| 158 | Teachers, special education | 1: Total | 252,519 | 1,017 | 1,000 | 17 |
| 158 | Teachers, special education | 2: Male | 42,514 | 160 | 155 | 4 |
| 158 | Teachers, special education | 3: Female | 210,005 | 857 | 845 | 13 |
| 158 | Teachers, special education | 4: White | 219,377 | 878 | 862 | 13 |
| 158 | Teachers, special education | 5: Black | 29,254 | 125 | 124 | 4 |
| 158 | Teachers, special education | 6: Other | 3,887 | 14 | 14 | 0 |
| 158 | Teachers, special education | 7: Hispanic | 9,380 | 36 | 34 | 0 |
| 158 | Teachers, special education | 8: NonHispanic | 243,139 | 981 | 966 | 17 |
| 159 | Teachers | 1: Total | 545,219 | 2,162 | 2,087 | 52 |
| 159 | Teachers | 2: Male | 207,073 | 794 | 765 | 25 |
| 159 | Teachers | 3: Female | 338,146 | 1,368 | 1,322 | 27 |
| 159 | Teachers | 4: White | 489,427 | 1,919 | 1,856 | 49 |
| 159 | Teachers | 5: Black | 39,796 | 182 | 172 | 3 |
| 159 | Teachers | 6: Other | 15,996 | 61 | 59 | 0 |
| 159 | Teachers | 7: Hispanic | 22,091 | 89 | 88 | 2 |
| 159 | Teachers | 8: NonHispanic | 523,129 | 2,073 | 1,999 | 50 |
| 163 | Counselors, Educational and Vocational | 1: Total | 262,756 | 1,026 | 1,010 | 20 |
| 163 | Counselors, Educational and Vocational | 2: Male | 92,738 | 349 | 340 | 9 |
| 163 | Counselors, Educational and Vocational | 3: Female | 170,018 | 677 | 670 | 11 |
| 163 | Counselors, Educational and Vocational | 4: White | 211,544 | 818 | 805 | 13 |
| 163 | Counselors, Educational and Vocational | 5: Black | 40,618 | 175 | 172 | 5 |
| 163 | Counselors, Educational and Vocational | 6: Other | 10,594 | 33 | 33 | 2 |
| 163 | Counselors, Educational and Vocational | 7: Hispanic | 11,557 | 48 | 48 | 0 |
| 163 | Counselors, Educational and Vocational | 8: NonHispanic | 251,198 | 978 | 962 | 20 |
| 164 | Librarians | 1: Total | 185,788 | 737 | 707 | 17 |
| 164 | Librarians | 2: Male | 27,565 | 104 | 98 | 1 |
| 164 | Librarians | 3: Female | 158,222 | 633 | 609 | 16 |
| 164 | Librarians | 4: White | 167,087 | 659 | 634 | 15 |
| 164 | Librarians | 5: Black | 10,377 | 50 | 48 | 2 |
| 164 | Librarians | 6: Other | 8,323 | 28 | 25 | 0 |
| 164 | Librarians | 7: Hispanic | 6,860 | 24 | 24 | 1 |
| 164 | Librarians | 8: NonHispanic | 178,927 | 713 | 683 | 16 |
| 166 | Economists | 1: Total | 166,170 | 635 | 618 | 13 |
| 166 | Economists | 2: Male | 97,324 | 364 | 355 | 12 |
| 166 | Economists | 3: Female | 68,846 | 271 | 263 | 1 |
| 166 | Economists | 4: White | 150,931 | 574 | 559 | 12 |
| 166 | Economists | 5: Black | 8,685 | 38 | 38 | 1 |
| 166 | Economists | 6: Other | 6,553 | 23 | 21 | 0 |
| 166 | Economists | 7: Hispanic | 7,949 | 30 | 28 | 1 |
| 166 | Economists | 8: NonHispanic | 158,220 | 605 | 590 | 12 |
| 167 | Psychologists | 1: Total | 190,497 | 754 | 738 | 19 |
| 167 | Psychologists | 2: Male | 82,506 | 320 | 315 | 9 |
| 167 | Psychologists | 3: Female | 107,991 | 434 | 423 | 10 |
| 167 | Psychologists | 4: White | 174,659 | 686 | 672 | 18 |
| 167 | Psychologists | 5: Black | 12,367 | 56 | 54 | 1 |
| 167 | Psychologists | 6: Other | 3,472 | 12 | 12 | 0 |
| 167 | Psychologists | 7: Hispanic | 9,612 | 38 | 36 | 0 |
| 167 | Psychologists | 8: NonHispanic | 180,885 | 716 | 702 | 19 |
| 174 | Social workers | 1: Total | 569,851 | 2,351 | 2,264 | 54 |
| 174 | Social workers | 2: Male | 176,079 | 695 | 666 | 21 |
| 174 | Social workers | 3: Female | 393,771 | 1,656 | 1,598 | 33 |
| 174 | Social workers | 4: White | 441,564 | 1,765 | 1,699 | 27 |
| 174 | Social workers | 5: Black | 114,755 | 532 | 512 | 25 |
| 174 | Social workers | 6: Other | 13,531 | 54 | 53 | 2 |
| 174 | Social workers | 7: Hispanic | 35,804 | 147 | 141 | 6 |
| 174 | Social workers | 8: NonHispanic | 534,047 | 2,204 | 2,123 | 48 |
| 176 | Clergy | 1: Total | 330,405 | 1,345 | 1,294 | 58 |
| 176 | Clergy | 2: Male | 303,305 | 1,223 | 1,174 | 56 |
| 176 | Clergy | 3: Female | 27,099 | 122 | 120 | 2 |
| 176 | Clergy | 4: White | 286,145 | 1,157 | 1,113 | 38 |
| 176 | Clergy | 5: Black | 35,690 | 155 | 148 | 18 |
| 176 | Clergy | 6: Other | 8,570 | 33 | 33 | 2 |
| 176 | Clergy | 7: Hispanic | 10,323 | 37 | 34 | 1 |
| 176 | Clergy | 8: NonHispanic | 320,081 | 1,308 | 1,260 | 57 |
| 178 | Lawyers | 1: Total | 747,311 | 2,854 | 2,748 | 77 |
| 178 | Lawyers | 2: Male | 568,786 | 2,147 | 2,059 | 73 |
| 178 | Lawyers | 3: Female | 178,525 | 707 | 689 | 4 |
| 178 | Lawyers | 4: White | 700,998 | 2,673 | 2,574 | 75 |
| 178 | Lawyers | 5: Black | 32,972 | 131 | 126 | 2 |
| 178 | Lawyers | 6: Other | 13,340 | 50 | 48 | 0 |
| 178 | Lawyers | 7: Hispanic | 24,022 | 92 | 86 | 1 |
| 178 | Lawyers | 8: NonHispanic | 723,289 | 2,762 | 2,662 | 76 |
| 185 | Designers | 1: Total | 526,843 | 2,037 | 1,977 | 41 |
| 185 | Designers | 2: Male | 225,588 | 853 | 826 | 27 |
| 185 | Designers | 3: Female | 301,255 | 1,184 | 1,151 | 14 |
| 185 | Designers | 4: White | 485,631 | 1,874 | 1,820 | 36 |
| 185 | Designers | 5: Black | 18,362 | 78 | 76 | 2 |
| 185 | Designers | 6: Other | 22,851 | 85 | 81 | 3 |
| 185 | Designers | 7: Hispanic | 31,508 | 123 | 119 | 1 |
| 185 | Designers | 8: NonHispanic | 495,335 | 1,914 | 1,858 | 40 |
| 186 | Musicians and composers | 1: Total | 171,362 | 647 | 621 | 15 |
| 186 | Musicians and composers | 2: Male | 106,537 | 394 | 379 | 12 |
| 186 | Musicians and composers | 3: Female | 64,825 | 253 | 242 | 3 |
| 186 | Musicians and composers | 4: White | 149,422 | 561 | 539 | 11 |
| 186 | Musicians and composers | 5: Black | 16,035 | 65 | 61 | 3 |
| 186 | Musicians and composers | 6: Other | 5,906 | 21 | 21 | 1 |
| 186 | Musicians and composers | 7: Hispanic | 10,895 | 43 | 43 | 0 |
| 186 | Musicians and composers | 8: NonHispanic | 160,467 | 604 | 578 | 15 |
| 187 | Actors and directors | 1: Total | 103,368 | 397 | 384 | 8 |
| 187 | Actors and directors | 2: Male | 64,217 | 242 | 236 | 6 |
| 187 | Actors and directors | 3: Female | 39,152 | 155 | 148 | 2 |
| 187 | Actors and directors | 4: White | 94,457 | 367 | 354 | 6 |
| 187 | Actors and directors | 5: Black | 6,067 | 18 | 18 | 2 |
| 187 | Actors and directors | 6: Other | 2,844 | 12 | 12 | 0 |
| 187 | Actors and directors | 7: Hispanic | 5,345 | 22 | 20 | 0 |
| 187 | Actors and directors | 8: NonHispanic | 98,023 | 375 | 364 | 8 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 1: Total | 243,308 | 928 | 906 | 30 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 2: Male | 120,720 | 451 | 439 | 18 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 3: Female | 122,587 | 477 | 467 | 12 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 4: White | 223,410 | 853 | 832 | 30 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 5: Black | 9,904 | 39 | 39 | 0 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 6: Other | 9,994 | 36 | 35 | 0 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 7: Hispanic | 10,852 | 40 | 39 | 3 |
| 188 | Painters/sculptors/craft-artists/artist printmakers | 8: NonHispanic | 232,456 | 888 | 867 | 27 |
| 189 | Photographers | 1: Total | 134,989 | 503 | 483 | 19 |
| 189 | Photographers | 2: Male | 101,240 | 364 | 350 | 14 |
| 189 | Photographers | 3: Female | 33,749 | 139 | 133 | 5 |
| 189 | Photographers | 4: White | 125,085 | 462 | 443 | 17 |
| 189 | Photographers | 5: Black | 6,256 | 28 | 28 | 1 |
| 189 | Photographers | 6: Other | 3,648 | 13 | 12 | 1 |
| 189 | Photographers | 7: Hispanic | 4,926 | 18 | 18 | 2 |
| 189 | Photographers | 8: NonHispanic | 130,063 | 485 | 465 | 17 |
| 195 | Editors and reporters | 1: Total | 247,967 | 933 | 911 | 22 |
| 195 | Editors and reporters | 2: Male | 130,383 | 478 | 467 | 12 |
| 195 | Editors and reporters | 3: Female | 117,584 | 455 | 444 | 10 |
| 195 | Editors and reporters | 4: White | 228,960 | 865 | 845 | 22 |
| 195 | Editors and reporters | 5: Black | 12,182 | 45 | 43 | 0 |
| 195 | Editors and reporters | 6: Other | 6,825 | 23 | 23 | 0 |
| 195 | Editors and reporters | 7: Hispanic | 6,974 | 24 | 22 | 0 |
| 195 | Editors and reporters | 8: NonHispanic | 240,992 | 909 | 889 | 22 |
| 197 | Public relations specialists | 1: Total | 168,127 | 649 | 633 | 14 |
| 197 | Public relations specialists | 2: Male | 72,038 | 271 | 266 | 11 |
| 197 | Public relations specialists | 3: Female | 96,088 | 378 | 367 | 3 |
| 197 | Public relations specialists | 4: White | 152,746 | 587 | 572 | 14 |
| 197 | Public relations specialists | 5: Black | 11,635 | 48 | 47 | 0 |
| 197 | Public relations specialists | 6: Other | 3,746 | 14 | 14 | 0 |
| 197 | Public relations specialists | 7: Hispanic | 8,036 | 31 | 30 | 1 |
| 197 | Public relations specialists | 8: NonHispanic | 160,091 | 618 | 603 | 13 |
| 203 | Clinical lab technologists and technicians | 1: Total | 328,584 | 1,326 | 1,295 | 12 |
| 203 | Clinical lab technologists and technicians | 2: Male | 78,792 | 293 | 286 | 4 |
| 203 | Clinical lab technologists and technicians | 3: Female | 249,791 | 1,033 | 1,009 | 8 |
| 203 | Clinical lab technologists and technicians | 4: White | 252,780 | 996 | 976 | 10 |
| 203 | Clinical lab technologists and technicians | 5: Black | 50,404 | 237 | 231 | 2 |
| 203 | Clinical lab technologists and technicians | 6: Other | 25,400 | 93 | 88 | 0 |
| 203 | Clinical lab technologists and technicians | 7: Hispanic | 24,898 | 93 | 90 | 1 |
| 203 | Clinical lab technologists and technicians | 8: NonHispanic | 303,685 | 1,233 | 1,205 | 11 |
| 206 | Radiologic technicians | 1: Total | 137,287 | 543 | 529 | 9 |
| 206 | Radiologic technicians | 2: Male | 41,478 | 153 | 151 | 4 |
| 206 | Radiologic technicians | 3: Female | 95,809 | 390 | 378 | 5 |
| 206 | Radiologic technicians | 4: White | 121,044 | 478 | 464 | 8 |
| 206 | Radiologic technicians | 5: Black | 11,089 | 48 | 48 | 1 |
| 206 | Radiologic technicians | 6: Other | 5,154 | 17 | 17 | 0 |
| 206 | Radiologic technicians | 7: Hispanic | 11,059 | 43 | 41 | 2 |
| 206 | Radiologic technicians | 8: NonHispanic | 126,228 | 500 | 488 | 7 |
| 207 | Licensed practical nurses | 1: Total | 433,437 | 1,851 | 1,798 | 34 |
| 207 | Licensed practical nurses | 2: Male | 18,738 | 66 | 63 | 6 |
| 207 | Licensed practical nurses | 3: Female | 414,700 | 1,785 | 1,735 | 28 |
| 207 | Licensed practical nurses | 4: White | 340,291 | 1,375 | 1,341 | 24 |
| 207 | Licensed practical nurses | 5: Black | 80,115 | 429 | 411 | 10 |
| 207 | Licensed practical nurses | 6: Other | 13,031 | 47 | 46 | 0 |
| 207 | Licensed practical nurses | 7: Hispanic | 22,621 | 92 | 89 | 0 |
| 207 | Licensed practical nurses | 8: NonHispanic | 410,816 | 1,759 | 1,709 | 34 |
| 208 | Health technologists and technicians | 1: Total | 330,504 | 1,314 | 1,284 | 18 |
| 208 | Health technologists and technicians | 2: Male | 101,316 | 382 | 370 | 9 |
| 208 | Health technologists and technicians | 3: Female | 229,188 | 932 | 914 | 9 |
| 208 | Health technologists and technicians | 4: White | 266,221 | 1,040 | 1,012 | 13 |
| 208 | Health technologists and technicians | 5: Black | 45,241 | 205 | 203 | 5 |
| 208 | Health technologists and technicians | 6: Other | 19,042 | 69 | 69 | 0 |
| 208 | Health technologists and technicians | 7: Hispanic | 24,937 | 94 | 93 | 0 |
| 208 | Health technologists and technicians | 8: NonHispanic | 305,567 | 1,220 | 1,191 | 18 |
| 213 | Electrical and electronic technicians | 1: Total | 378,968 | 1,447 | 1,407 | 36 |
| 213 | Electrical and electronic technicians | 2: Male | 320,198 | 1,204 | 1,172 | 32 |
| 213 | Electrical and electronic technicians | 3: Female | 58,770 | 243 | 235 | 4 |
| 213 | Electrical and electronic technicians | 4: White | 318,155 | 1,211 | 1,182 | 30 |
| 213 | Electrical and electronic technicians | 5: Black | 31,406 | 125 | 119 | 6 |
| 213 | Electrical and electronic technicians | 6: Other | 29,407 | 111 | 106 | 0 |
| 213 | Electrical and electronic technicians | 7: Hispanic | 20,080 | 79 | 78 | 0 |
| 213 | Electrical and electronic technicians | 8: NonHispanic | 358,888 | 1,368 | 1,329 | 36 |
| 216 | Engineering technicians | 1: Total | 261,701 | 1,023 | 1,002 | 20 |
| 216 | Engineering technicians | 2: Male | 178,622 | 681 | 667 | 19 |
| 216 | Engineering technicians | 3: Female | 83,079 | 342 | 335 | 1 |
| 216 | Engineering technicians | 4: White | 220,821 | 855 | 838 | 14 |
| 216 | Engineering technicians | 5: Black | 25,470 | 111 | 110 | 6 |
| 216 | Engineering technicians | 6: Other | 15,410 | 57 | 54 | 0 |
| 216 | Engineering technicians | 7: Hispanic | 10,812 | 43 | 40 | 0 |
| 216 | Engineering technicians | 8: NonHispanic | 250,889 | 980 | 962 | 20 |
| 217 | Drafting occs | 1: Total | 265,437 | 992 | 964 | 28 |
| 217 | Drafting occs | 2: Male | 213,073 | 794 | 773 | 23 |
| 217 | Drafting occs | 3: Female | 52,364 | 198 | 191 | 5 |
| 217 | Drafting occs | 4: White | 243,043 | 902 | 877 | 21 |
| 217 | Drafting occs | 5: Black | 9,474 | 40 | 39 | 5 |
| 217 | Drafting occs | 6: Other | 12,920 | 50 | 48 | 2 |
| 217 | Drafting occs | 7: Hispanic | 19,282 | 70 | 69 | 1 |
| 217 | Drafting occs | 8: NonHispanic | 246,155 | 922 | 895 | 27 |
| 226 | Airplane pilots and navigators | 1: Total | 107,936 | 407 | 395 | 13 |
| 226 | Airplane pilots and navigators | 2: Male | 105,271 | 395 | 383 | 13 |
| 226 | Airplane pilots and navigators | 3: Female | 2,665 | 12 | 12 | 0 |
| 226 | Airplane pilots and navigators | 4: White | 105,231 | 398 | 386 | 13 |
| 226 | Airplane pilots and navigators | 5: Black | 1,735 | 6 | 6 | 0 |
| 226 | Airplane pilots and navigators | 6: Other | 970 | 3 | 3 | 0 |
| 226 | Airplane pilots and navigators | 7: Hispanic | 3,245 | 11 | 11 | 0 |
| 226 | Airplane pilots and navigators | 8: NonHispanic | 104,691 | 396 | 384 | 13 |
| 229 | Computer programmers | 1: Total | 515,413 | 1,961 | 1,905 | 18 |
| 229 | Computer programmers | 2: Male | 345,931 | 1,291 | 1,248 | 11 |
| 229 | Computer programmers | 3: Female | 169,482 | 670 | 657 | 7 |
| 229 | Computer programmers | 4: White | 441,655 | 1,658 | 1,608 | 16 |
| 229 | Computer programmers | 5: Black | 35,443 | 156 | 151 | 1 |
| 229 | Computer programmers | 6: Other | 38,315 | 147 | 146 | 1 |
| 229 | Computer programmers | 7: Hispanic | 23,934 | 90 | 86 | 0 |
| 229 | Computer programmers | 8: NonHispanic | 491,479 | 1,871 | 1,819 | 18 |
| 234 | Legal assistants | 1: Total | 245,025 | 945 | 913 | 12 |
| 234 | Legal assistants | 2: Male | 51,098 | 190 | 181 | 7 |
| 234 | Legal assistants | 3: Female | 193,927 | 755 | 732 | 5 |
| 234 | Legal assistants | 4: White | 218,530 | 841 | 813 | 10 |
| 234 | Legal assistants | 5: Black | 16,896 | 71 | 67 | 2 |
| 234 | Legal assistants | 6: Other | 9,598 | 33 | 33 | 0 |
| 234 | Legal assistants | 7: Hispanic | 15,187 | 60 | 58 | 0 |
| 234 | Legal assistants | 8: NonHispanic | 229,838 | 885 | 855 | 12 |
| 235 | Technicians | 1: Total | 462,626 | 1,780 | 1,738 | 21 |
| 235 | Technicians | 2: Male | 323,700 | 1,230 | 1,199 | 13 |
| 235 | Technicians | 3: Female | 138,926 | 550 | 539 | 8 |
| 235 | Technicians | 4: White | 391,624 | 1,496 | 1,457 | 18 |
| 235 | Technicians | 5: Black | 36,652 | 158 | 156 | 2 |
| 235 | Technicians | 6: Other | 34,349 | 126 | 125 | 1 |
| 235 | Technicians | 7: Hispanic | 28,281 | 99 | 96 | 2 |
| 235 | Technicians | 8: NonHispanic | 434,345 | 1,681 | 1,642 | 19 |
| 243 | Supervisors/Proprietors, Sales Occupations | 1: Total | 3,596,023 | 13,986 | 13,631 | 372 |
| 243 | Supervisors/Proprietors, Sales Occupations | 2: Male | 2,315,820 | 8,835 | 8,610 | 289 |
| 243 | Supervisors/Proprietors, Sales Occupations | 3: Female | 1,280,203 | 5,151 | 5,021 | 83 |
| 243 | Supervisors/Proprietors, Sales Occupations | 4: White | 3,297,445 | 12,793 | 12,480 | 346 |
| 243 | Supervisors/Proprietors, Sales Occupations | 5: Black | 169,165 | 706 | 684 | 18 |
| 243 | Supervisors/Proprietors, Sales Occupations | 6: Other | 129,414 | 487 | 467 | 8 |
| 243 | Supervisors/Proprietors, Sales Occupations | 7: Hispanic | 197,592 | 751 | 738 | 17 |
| 243 | Supervisors/Proprietors, Sales Occupations | 8: NonHispanic | 3,398,432 | 13,235 | 12,893 | 355 |
| 253 | Insurance sales occs | 1: Total | 654,951 | 2,576 | 2,510 | 75 |
| 253 | Insurance sales occs | 2: Male | 422,637 | 1,634 | 1,592 | 58 |
| 253 | Insurance sales occs | 3: Female | 232,314 | 942 | 918 | 17 |
| 253 | Insurance sales occs | 4: White | 598,754 | 2,337 | 2,276 | 71 |
| 253 | Insurance sales occs | 5: Black | 40,514 | 179 | 175 | 3 |
| 253 | Insurance sales occs | 6: Other | 15,683 | 60 | 59 | 1 |
| 253 | Insurance sales occs | 7: Hispanic | 30,301 | 116 | 111 | 0 |
| 253 | Insurance sales occs | 8: NonHispanic | 624,650 | 2,460 | 2,399 | 75 |
| 254 | Real estate sales occs | 1: Total | 788,281 | 3,071 | 2,938 | 120 |
| 254 | Real estate sales occs | 2: Male | 401,798 | 1,547 | 1,479 | 80 |
| 254 | Real estate sales occs | 3: Female | 386,483 | 1,524 | 1,459 | 40 |
| 254 | Real estate sales occs | 4: White | 740,931 | 2,889 | 2,765 | 118 |
| 254 | Real estate sales occs | 5: Black | 24,062 | 102 | 97 | 1 |
| 254 | Real estate sales occs | 6: Other | 23,288 | 80 | 76 | 1 |
| 254 | Real estate sales occs | 7: Hispanic | 32,809 | 122 | 118 | 3 |
| 254 | Real estate sales occs | 8: NonHispanic | 755,472 | 2,949 | 2,820 | 117 |
| 255 | Securities and financial services sales occs | 1: Total | 288,542 | 1,093 | 1,062 | 14 |
| 255 | Securities and financial services sales occs | 2: Male | 211,164 | 787 | 761 | 11 |
| 255 | Securities and financial services sales occs | 3: Female | 77,378 | 306 | 301 | 3 |
| 255 | Securities and financial services sales occs | 4: White | 265,488 | 1,000 | 972 | 13 |
| 255 | Securities and financial services sales occs | 5: Black | 15,184 | 64 | 62 | 1 |
| 255 | Securities and financial services sales occs | 6: Other | 7,870 | 29 | 28 | 0 |
| 255 | Securities and financial services sales occs | 7: Hispanic | 7,195 | 28 | 27 | 1 |
| 255 | Securities and financial services sales occs | 8: NonHispanic | 281,347 | 1,065 | 1,035 | 13 |
| 256 | Advertising and related sales occs | 1: Total | 142,145 | 547 | 532 | 10 |
| 256 | Advertising and related sales occs | 2: Male | 71,964 | 269 | 260 | 5 |
| 256 | Advertising and related sales occs | 3: Female | 70,181 | 278 | 272 | 5 |
| 256 | Advertising and related sales occs | 4: White | 133,280 | 511 | 497 | 8 |
| 256 | Advertising and related sales occs | 5: Black | 6,644 | 27 | 26 | 2 |
| 256 | Advertising and related sales occs | 6: Other | 2,222 | 9 | 9 | 0 |
| 256 | Advertising and related sales occs | 7: Hispanic | 4,887 | 20 | 20 | 1 |
| 256 | Advertising and related sales occs | 8: NonHispanic | 137,258 | 527 | 512 | 9 |
| 257 | Sales occs, other business services | 1: Total | 393,028 | 1,500 | 1,461 | 32 |
| 257 | Sales occs, other business services | 2: Male | 252,718 | 944 | 916 | 23 |
| 257 | Sales occs, other business services | 3: Female | 140,309 | 556 | 545 | 9 |
| 257 | Sales occs, other business services | 4: White | 364,858 | 1,385 | 1,351 | 30 |
| 257 | Sales occs, other business services | 5: Black | 19,777 | 86 | 82 | 2 |
| 257 | Sales occs, other business services | 6: Other | 8,392 | 29 | 28 | 0 |
| 257 | Sales occs, other business services | 7: Hispanic | 20,971 | 83 | 82 | 1 |
| 257 | Sales occs, other business services | 8: NonHispanic | 372,057 | 1,417 | 1,379 | 31 |
| 259 | Sales reps, mining/manufact/wholesale | 1: Total | 1,305,211 | 5,013 | 4,867 | 133 |
| 259 | Sales reps, mining/manufact/wholesale | 2: Male | 1,004,909 | 3,833 | 3,722 | 121 |
| 259 | Sales reps, mining/manufact/wholesale | 3: Female | 300,302 | 1,180 | 1,145 | 12 |
| 259 | Sales reps, mining/manufact/wholesale | 4: White | 1,240,419 | 4,750 | 4,612 | 126 |
| 259 | Sales reps, mining/manufact/wholesale | 5: Black | 39,789 | 170 | 166 | 6 |
| 259 | Sales reps, mining/manufact/wholesale | 6: Other | 25,003 | 93 | 89 | 1 |
| 259 | Sales reps, mining/manufact/wholesale | 7: Hispanic | 58,984 | 232 | 226 | 4 |
| 259 | Sales reps, mining/manufact/wholesale | 8: NonHispanic | 1,246,227 | 4,781 | 4,641 | 129 |
| 263 | Sales workers, motor vehicles and boats | 1: Total | 255,606 | 991 | 963 | 43 |
| 263 | Sales workers, motor vehicles and boats | 2: Male | 241,931 | 936 | 910 | 42 |
| 263 | Sales workers, motor vehicles and boats | 3: Female | 13,676 | 55 | 53 | 1 |
| 263 | Sales workers, motor vehicles and boats | 4: White | 240,349 | 936 | 908 | 40 |
| 263 | Sales workers, motor vehicles and boats | 5: Black | 11,496 | 41 | 41 | 1 |
| 263 | Sales workers, motor vehicles and boats | 6: Other | 3,761 | 14 | 14 | 2 |
| 263 | Sales workers, motor vehicles and boats | 7: Hispanic | 14,878 | 59 | 57 | 1 |
| 263 | Sales workers, motor vehicles and boats | 8: NonHispanic | 240,729 | 932 | 906 | 42 |
| 264 | Sales workers, apparel | 1: Total | 296,930 | 1,169 | 1,136 | 23 |
| 264 | Sales workers, apparel | 2: Male | 53,627 | 196 | 191 | 4 |
| 264 | Sales workers, apparel | 3: Female | 243,303 | 973 | 945 | 19 |
| 264 | Sales workers, apparel | 4: White | 258,828 | 1,001 | 976 | 20 |
| 264 | Sales workers, apparel | 5: Black | 27,636 | 127 | 121 | 2 |
| 264 | Sales workers, apparel | 6: Other | 10,465 | 41 | 39 | 1 |
| 264 | Sales workers, apparel | 7: Hispanic | 32,386 | 124 | 121 | 2 |
| 264 | Sales workers, apparel | 8: NonHispanic | 264,544 | 1,045 | 1,015 | 21 |
| 266 | Sales workers, furniture and home furnishings | 1: Total | 105,818 | 402 | 386 | 14 |
| 266 | Sales workers, furniture and home furnishings | 2: Male | 54,694 | 213 | 205 | 8 |
| 266 | Sales workers, furniture and home furnishings | 3: Female | 51,124 | 189 | 181 | 6 |
| 266 | Sales workers, furniture and home furnishings | 4: White | 99,018 | 372 | 357 | 13 |
| 266 | Sales workers, furniture and home furnishings | 5: Black | 4,966 | 22 | 22 | 0 |
| 266 | Sales workers, furniture and home furnishings | 6: Other | 1,833 | 8 | 7 | 1 |
| 266 | Sales workers, furniture and home furnishings | 7: Hispanic | 7,845 | 30 | 29 | 0 |
| 266 | Sales workers, furniture and home furnishings | 8: NonHispanic | 97,973 | 372 | 357 | 14 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 1: Total | 119,117 | 452 | 434 | 11 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 2: Male | 91,775 | 345 | 332 | 8 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 3: Female | 27,342 | 107 | 102 | 3 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 4: White | 107,942 | 403 | 386 | 10 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 5: Black | 6,979 | 33 | 33 | 1 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 6: Other | 4,196 | 16 | 15 | 0 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 7: Hispanic | 6,412 | 21 | 21 | 0 |
| 267 | Sales workers, radio, TV, hi-fi and appliances | 8: NonHispanic | 112,705 | 431 | 413 | 11 |
| 268 | Sales workers, hardware and building supplies | 1: Total | 116,569 | 444 | 431 | 14 |
| 268 | Sales workers, hardware and building supplies | 2: Male | 92,969 | 350 | 339 | 14 |
| 268 | Sales workers, hardware and building supplies | 3: Female | 23,600 | 94 | 92 | 0 |
| 268 | Sales workers, hardware and building supplies | 4: White | 112,288 | 428 | 415 | 13 |
| 268 | Sales workers, hardware and building supplies | 5: Black | 2,839 | 11 | 11 | 1 |
| 268 | Sales workers, hardware and building supplies | 6: Other | 1,442 | 5 | 5 | 0 |
| 268 | Sales workers, hardware and building supplies | 7: Hispanic | 3,475 | 14 | 12 | 0 |
| 268 | Sales workers, hardware and building supplies | 8: NonHispanic | 113,094 | 430 | 419 | 14 |
| 269 | Sales workers, parts | 1: Total | 138,870 | 525 | 518 | 17 |
| 269 | Sales workers, parts | 2: Male | 125,177 | 474 | 469 | 17 |
| 269 | Sales workers, parts | 3: Female | 13,693 | 51 | 49 | 0 |
| 269 | Sales workers, parts | 4: White | 129,759 | 492 | 485 | 15 |
| 269 | Sales workers, parts | 5: Black | 7,235 | 26 | 26 | 2 |
| 269 | Sales workers, parts | 6: Other | 1,876 | 7 | 7 | 0 |
| 269 | Sales workers, parts | 7: Hispanic | 8,300 | 32 | 31 | 2 |
| 269 | Sales workers, parts | 8: NonHispanic | 130,569 | 493 | 487 | 15 |
| 274 | Sales workers, other commodities | 1: Total | 2,118,672 | 8,281 | 8,004 | 219 |
| 274 | Sales workers, other commodities | 2: Male | 764,573 | 2,889 | 2,771 | 124 |
| 274 | Sales workers, other commodities | 3: Female | 1,354,099 | 5,392 | 5,233 | 95 |
| 274 | Sales workers, other commodities | 4: White | 1,900,230 | 7,370 | 7,132 | 197 |
| 274 | Sales workers, other commodities | 5: Black | 142,383 | 650 | 620 | 15 |
| 274 | Sales workers, other commodities | 6: Other | 76,059 | 261 | 252 | 7 |
| 274 | Sales workers, other commodities | 7: Hispanic | 137,695 | 537 | 528 | 11 |
| 274 | Sales workers, other commodities | 8: NonHispanic | 1,980,977 | 7,744 | 7,476 | 208 |
| 275 | Sales counter clerks | 1: Total | 182,795 | 715 | 697 | 16 |
| 275 | Sales counter clerks | 2: Male | 62,397 | 234 | 232 | 6 |
| 275 | Sales counter clerks | 3: Female | 120,397 | 481 | 465 | 10 |
| 275 | Sales counter clerks | 4: White | 145,649 | 556 | 543 | 11 |
| 275 | Sales counter clerks | 5: Black | 18,053 | 87 | 84 | 2 |
| 275 | Sales counter clerks | 6: Other | 19,093 | 72 | 70 | 3 |
| 275 | Sales counter clerks | 7: Hispanic | 17,033 | 63 | 62 | 1 |
| 275 | Sales counter clerks | 8: NonHispanic | 165,762 | 652 | 635 | 15 |
| 276 | Cashiers | 1: Total | 2,043,195 | 8,164 | 7,955 | 167 |
| 276 | Cashiers | 2: Male | 361,042 | 1,384 | 1,342 | 58 |
| 276 | Cashiers | 3: Female | 1,682,152 | 6,780 | 6,613 | 109 |
| 276 | Cashiers | 4: White | 1,619,868 | 6,314 | 6,155 | 134 |
| 276 | Cashiers | 5: Black | 312,261 | 1,444 | 1,408 | 28 |
| 276 | Cashiers | 6: Other | 111,066 | 406 | 392 | 5 |
| 276 | Cashiers | 7: Hispanic | 187,024 | 743 | 720 | 10 |
| 276 | Cashiers | 8: NonHispanic | 1,856,171 | 7,421 | 7,235 | 157 |
| 277 | Street and door-to-door sales workers | 1: Total | 276,408 | 1,084 | 1,066 | 30 |
| 277 | Street and door-to-door sales workers | 2: Male | 68,964 | 258 | 255 | 17 |
| 277 | Street and door-to-door sales workers | 3: Female | 207,444 | 826 | 811 | 13 |
| 277 | Street and door-to-door sales workers | 4: White | 251,242 | 973 | 960 | 29 |
| 277 | Street and door-to-door sales workers | 5: Black | 21,783 | 96 | 94 | 1 |
| 277 | Street and door-to-door sales workers | 6: Other | 3,383 | 15 | 12 | 0 |
| 277 | Street and door-to-door sales workers | 7: Hispanic | 18,747 | 73 | 73 | 3 |
| 277 | Street and door-to-door sales workers | 8: NonHispanic | 257,661 | 1,011 | 993 | 27 |
| 303 | Supervisors, general office | 1: Total | 456,019 | 1,807 | 1,762 | 41 |
| 303 | Supervisors, general office | 2: Male | 127,692 | 471 | 460 | 20 |
| 303 | Supervisors, general office | 3: Female | 328,327 | 1,336 | 1,302 | 21 |
| 303 | Supervisors, general office | 4: White | 393,770 | 1,542 | 1,501 | 35 |
| 303 | Supervisors, general office | 5: Black | 47,377 | 210 | 207 | 4 |
| 303 | Supervisors, general office | 6: Other | 14,872 | 55 | 54 | 2 |
| 303 | Supervisors, general office | 7: Hispanic | 26,940 | 100 | 97 | 4 |
| 303 | Supervisors, general office | 8: NonHispanic | 429,079 | 1,707 | 1,665 | 37 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 1: Total | 177,953 | 706 | 694 | 21 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 2: Male | 119,950 | 461 | 451 | 16 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 3: Female | 58,003 | 245 | 243 | 5 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 4: White | 145,138 | 561 | 553 | 14 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 5: Black | 28,601 | 128 | 124 | 5 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 6: Other | 4,214 | 17 | 17 | 2 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 7: Hispanic | 12,491 | 49 | 49 | 1 |
| 307 | Supervisors, distribution, scheduling, and adjusting clerks | 8: NonHispanic | 165,462 | 657 | 645 | 20 |
| 308 | Computer operators | 1: Total | 659,841 | 2,629 | 2,548 | 43 |
| 308 | Computer operators | 2: Male | 234,917 | 880 | 853 | 19 |
| 308 | Computer operators | 3: Female | 424,925 | 1,749 | 1,695 | 24 |
| 308 | Computer operators | 4: White | 543,263 | 2,105 | 2,043 | 31 |
| 308 | Computer operators | 5: Black | 92,859 | 436 | 421 | 11 |
| 308 | Computer operators | 6: Other | 23,719 | 88 | 84 | 1 |
| 308 | Computer operators | 7: Hispanic | 42,368 | 159 | 154 | 4 |
| 308 | Computer operators | 8: NonHispanic | 617,473 | 2,470 | 2,394 | 39 |
| 313 | Secretaries | 1: Total | 3,828,302 | 15,276 | 14,851 | 233 |
| 313 | Secretaries | 2: Male | 46,281 | 183 | 176 | 4 |
| 313 | Secretaries | 3: Female | 3,782,021 | 15,093 | 14,675 | 229 |
| 313 | Secretaries | 4: White | 3,453,562 | 13,564 | 13,185 | 215 |
| 313 | Secretaries | 5: Black | 290,884 | 1,418 | 1,381 | 16 |
| 313 | Secretaries | 6: Other | 83,856 | 294 | 285 | 2 |
| 313 | Secretaries | 7: Hispanic | 229,081 | 890 | 864 | 8 |
| 313 | Secretaries | 8: NonHispanic | 3,599,220 | 14,386 | 13,987 | 225 |
| 315 | Typists | 1: Total | 515,090 | 2,109 | 2,042 | 54 |
| 315 | Typists | 2: Male | 28,810 | 109 | 105 | 3 |
| 315 | Typists | 3: Female | 486,281 | 2,000 | 1,937 | 51 |
| 315 | Typists | 4: White | 407,125 | 1,587 | 1,537 | 45 |
| 315 | Typists | 5: Black | 88,156 | 445 | 430 | 9 |
| 315 | Typists | 6: Other | 19,809 | 77 | 75 | 0 |
| 315 | Typists | 7: Hispanic | 36,679 | 153 | 146 | 3 |
| 315 | Typists | 8: NonHispanic | 478,411 | 1,956 | 1,896 | 51 |
| 316 | Interviewers | 1: Total | 146,720 | 581 | 573 | 16 |
| 316 | Interviewers | 2: Male | 18,133 | 69 | 66 | 2 |
| 316 | Interviewers | 3: Female | 128,587 | 512 | 507 | 14 |
| 316 | Interviewers | 4: White | 126,116 | 479 | 472 | 12 |
| 316 | Interviewers | 5: Black | 18,343 | 92 | 91 | 4 |
| 316 | Interviewers | 6: Other | 2,261 | 10 | 10 | 0 |
| 316 | Interviewers | 7: Hispanic | 9,918 | 38 | 38 | 0 |
| 316 | Interviewers | 8: NonHispanic | 136,801 | 543 | 535 | 16 |
| 318 | Transportation ticket and reservation agents | 1: Total | 164,670 | 642 | 623 | 11 |
| 318 | Transportation ticket and reservation agents | 2: Male | 56,559 | 214 | 207 | 6 |
| 318 | Transportation ticket and reservation agents | 3: Female | 108,111 | 428 | 416 | 5 |
| 318 | Transportation ticket and reservation agents | 4: White | 138,098 | 533 | 518 | 9 |
| 318 | Transportation ticket and reservation agents | 5: Black | 18,274 | 80 | 76 | 2 |
| 318 | Transportation ticket and reservation agents | 6: Other | 8,299 | 29 | 29 | 0 |
| 318 | Transportation ticket and reservation agents | 7: Hispanic | 13,923 | 54 | 53 | 1 |
| 318 | Transportation ticket and reservation agents | 8: NonHispanic | 150,747 | 588 | 570 | 10 |
| 319 | Receptionists | 1: Total | 747,566 | 3,010 | 2,936 | 51 |
| 319 | Receptionists | 2: Male | 26,737 | 99 | 98 | 4 |
| 319 | Receptionists | 3: Female | 720,830 | 2,911 | 2,838 | 47 |
| 319 | Receptionists | 4: White | 671,925 | 2,649 | 2,586 | 43 |
| 319 | Receptionists | 5: Black | 57,688 | 294 | 285 | 5 |
| 319 | Receptionists | 6: Other | 17,953 | 67 | 65 | 3 |
| 319 | Receptionists | 7: Hispanic | 70,963 | 270 | 262 | 5 |
| 319 | Receptionists | 8: NonHispanic | 676,603 | 2,740 | 2,674 | 46 |
| 327 | Order clerks | 1: Total | 183,515 | 735 | 721 | 18 |
| 327 | Order clerks | 2: Male | 48,147 | 183 | 179 | 11 |
| 327 | Order clerks | 3: Female | 135,368 | 552 | 542 | 7 |
| 327 | Order clerks | 4: White | 153,766 | 596 | 587 | 15 |
| 327 | Order clerks | 5: Black | 25,840 | 125 | 120 | 3 |
| 327 | Order clerks | 6: Other | 3,910 | 14 | 14 | 0 |
| 327 | Order clerks | 7: Hispanic | 14,429 | 54 | 53 | 1 |
| 327 | Order clerks | 8: NonHispanic | 169,086 | 681 | 668 | 17 |
| 329 | Library clerks | 1: Total | 125,725 | 491 | 478 | 8 |
| 329 | Library clerks | 2: Male | 27,366 | 96 | 94 | 1 |
| 329 | Library clerks | 3: Female | 98,359 | 395 | 384 | 7 |
| 329 | Library clerks | 4: White | 100,948 | 392 | 381 | 8 |
| 329 | Library clerks | 5: Black | 15,408 | 68 | 67 | 0 |
| 329 | Library clerks | 6: Other | 9,369 | 31 | 30 | 0 |
| 329 | Library clerks | 7: Hispanic | 10,207 | 36 | 36 | 0 |
| 329 | Library clerks | 8: NonHispanic | 115,518 | 455 | 442 | 8 |
| 335 | File clerks | 1: Total | 193,069 | 790 | 769 | 20 |
| 335 | File clerks | 2: Male | 40,157 | 165 | 162 | 4 |
| 335 | File clerks | 3: Female | 152,912 | 625 | 607 | 16 |
| 335 | File clerks | 4: White | 147,502 | 575 | 560 | 15 |
| 335 | File clerks | 5: Black | 35,931 | 177 | 173 | 5 |
| 335 | File clerks | 6: Other | 9,636 | 38 | 36 | 0 |
| 335 | File clerks | 7: Hispanic | 19,217 | 76 | 73 | 3 |
| 335 | File clerks | 8: NonHispanic | 173,853 | 714 | 696 | 17 |
| 336 | Records clerks | 1: Total | 159,184 | 645 | 632 | 9 |
| 336 | Records clerks | 2: Male | 34,088 | 128 | 124 | 2 |
| 336 | Records clerks | 3: Female | 125,096 | 517 | 508 | 7 |
| 336 | Records clerks | 4: White | 133,291 | 518 | 506 | 9 |
| 336 | Records clerks | 5: Black | 19,718 | 102 | 102 | 0 |
| 336 | Records clerks | 6: Other | 6,175 | 25 | 24 | 0 |
| 336 | Records clerks | 7: Hispanic | 11,973 | 51 | 51 | 2 |
| 336 | Records clerks | 8: NonHispanic | 147,211 | 594 | 581 | 7 |
| 337 | Bookkeepers, accounting, and auditing clerks | 1: Total | 1,817,127 | 7,239 | 7,075 | 192 |
| 337 | Bookkeepers, accounting, and auditing clerks | 2: Male | 163,476 | 622 | 606 | 34 |
| 337 | Bookkeepers, accounting, and auditing clerks | 3: Female | 1,653,650 | 6,617 | 6,469 | 158 |
| 337 | Bookkeepers, accounting, and auditing clerks | 4: White | 1,651,362 | 6,542 | 6,394 | 182 |
| 337 | Bookkeepers, accounting, and auditing clerks | 5: Black | 97,144 | 446 | 433 | 5 |
| 337 | Bookkeepers, accounting, and auditing clerks | 6: Other | 68,621 | 251 | 248 | 5 |
| 337 | Bookkeepers, accounting, and auditing clerks | 7: Hispanic | 90,453 | 360 | 353 | 6 |
| 337 | Bookkeepers, accounting, and auditing clerks | 8: NonHispanic | 1,726,674 | 6,879 | 6,722 | 186 |
| 338 | Payroll and timekeeping clerks | 1: Total | 150,511 | 605 | 591 | 12 |
| 338 | Payroll and timekeeping clerks | 2: Male | 15,990 | 63 | 62 | 1 |
| 338 | Payroll and timekeeping clerks | 3: Female | 134,521 | 542 | 529 | 11 |
| 338 | Payroll and timekeeping clerks | 4: White | 129,718 | 508 | 494 | 11 |
| 338 | Payroll and timekeeping clerks | 5: Black | 14,808 | 75 | 75 | 1 |
| 338 | Payroll and timekeeping clerks | 6: Other | 5,985 | 22 | 22 | 0 |
| 338 | Payroll and timekeeping clerks | 7: Hispanic | 9,273 | 39 | 37 | 0 |
| 338 | Payroll and timekeeping clerks | 8: NonHispanic | 141,237 | 566 | 554 | 12 |
| 339 | Billing clerks | 1: Total | 165,608 | 657 | 641 | 8 |
| 339 | Billing clerks | 2: Male | 15,055 | 55 | 54 | 3 |
| 339 | Billing clerks | 3: Female | 150,553 | 602 | 587 | 5 |
| 339 | Billing clerks | 4: White | 143,857 | 557 | 544 | 7 |
| 339 | Billing clerks | 5: Black | 15,636 | 76 | 75 | 1 |
| 339 | Billing clerks | 6: Other | 6,115 | 24 | 22 | 0 |
| 339 | Billing clerks | 7: Hispanic | 8,191 | 33 | 33 | 0 |
| 339 | Billing clerks | 8: NonHispanic | 157,417 | 624 | 608 | 8 |
| 348 | Telephone operators | 1: Total | 195,396 | 795 | 767 | 17 |
| 348 | Telephone operators | 2: Male | 20,290 | 76 | 73 | 0 |
| 348 | Telephone operators | 3: Female | 175,105 | 719 | 694 | 17 |
| 348 | Telephone operators | 4: White | 149,302 | 582 | 565 | 12 |
| 348 | Telephone operators | 5: Black | 38,556 | 187 | 177 | 3 |
| 348 | Telephone operators | 6: Other | 7,537 | 26 | 25 | 2 |
| 348 | Telephone operators | 7: Hispanic | 11,184 | 43 | 42 | 0 |
| 348 | Telephone operators | 8: NonHispanic | 184,211 | 752 | 725 | 17 |
| 354 | Postal clerks, except mail carriers | 1: Total | 310,003 | 1,317 | 1,284 | 34 |
| 354 | Postal clerks, except mail carriers | 2: Male | 170,471 | 697 | 678 | 25 |
| 354 | Postal clerks, except mail carriers | 3: Female | 139,532 | 620 | 606 | 9 |
| 354 | Postal clerks, except mail carriers | 4: White | 207,923 | 834 | 817 | 21 |
| 354 | Postal clerks, except mail carriers | 5: Black | 82,256 | 405 | 392 | 11 |
| 354 | Postal clerks, except mail carriers | 6: Other | 19,824 | 78 | 75 | 2 |
| 354 | Postal clerks, except mail carriers | 7: Hispanic | 21,022 | 86 | 86 | 4 |
| 354 | Postal clerks, except mail carriers | 8: NonHispanic | 288,981 | 1,231 | 1,198 | 30 |
| 355 | Mail carriers, postal service | 1: Total | 303,415 | 1,216 | 1,182 | 22 |
| 355 | Mail carriers, postal service | 2: Male | 217,151 | 858 | 830 | 20 |
| 355 | Mail carriers, postal service | 3: Female | 86,263 | 358 | 352 | 2 |
| 355 | Mail carriers, postal service | 4: White | 251,840 | 1,003 | 973 | 17 |
| 355 | Mail carriers, postal service | 5: Black | 39,538 | 173 | 169 | 4 |
| 355 | Mail carriers, postal service | 6: Other | 12,037 | 40 | 40 | 1 |
| 355 | Mail carriers, postal service | 7: Hispanic | 21,353 | 80 | 77 | 1 |
| 355 | Mail carriers, postal service | 8: NonHispanic | 282,061 | 1,136 | 1,105 | 21 |
| 356 | Mail clerks, except postal service | 1: Total | 178,110 | 715 | 697 | 14 |
| 356 | Mail clerks, except postal service | 2: Male | 101,596 | 384 | 373 | 11 |
| 356 | Mail clerks, except postal service | 3: Female | 76,514 | 331 | 324 | 3 |
| 356 | Mail clerks, except postal service | 4: White | 134,186 | 513 | 500 | 10 |
| 356 | Mail clerks, except postal service | 5: Black | 38,112 | 180 | 175 | 3 |
| 356 | Mail clerks, except postal service | 6: Other | 5,812 | 22 | 22 | 1 |
| 356 | Mail clerks, except postal service | 7: Hispanic | 18,429 | 66 | 65 | 2 |
| 356 | Mail clerks, except postal service | 8: NonHispanic | 159,682 | 649 | 632 | 12 |
| 357 | Messengers | 1: Total | 123,316 | 487 | 474 | 25 |
| 357 | Messengers | 2: Male | 94,001 | 368 | 359 | 25 |
| 357 | Messengers | 3: Female | 29,314 | 119 | 115 | 0 |
| 357 | Messengers | 4: White | 100,817 | 379 | 369 | 20 |
| 357 | Messengers | 5: Black | 18,180 | 92 | 89 | 5 |
| 357 | Messengers | 6: Other | 4,319 | 16 | 16 | 0 |
| 357 | Messengers | 7: Hispanic | 12,004 | 48 | 47 | 2 |
| 357 | Messengers | 8: NonHispanic | 111,312 | 439 | 427 | 23 |
| 359 | Dispatchers | 1: Total | 180,789 | 724 | 706 | 14 |
| 359 | Dispatchers | 2: Male | 91,223 | 357 | 350 | 9 |
| 359 | Dispatchers | 3: Female | 89,566 | 367 | 356 | 5 |
| 359 | Dispatchers | 4: White | 162,937 | 639 | 623 | 13 |
| 359 | Dispatchers | 5: Black | 14,936 | 72 | 71 | 1 |
| 359 | Dispatchers | 6: Other | 2,916 | 13 | 12 | 0 |
| 359 | Dispatchers | 7: Hispanic | 10,432 | 40 | 40 | 1 |
| 359 | Dispatchers | 8: NonHispanic | 170,357 | 684 | 666 | 13 |
| 363 | Production coordinators | 1: Total | 204,210 | 813 | 795 | 24 |
| 363 | Production coordinators | 2: Male | 109,596 | 423 | 415 | 15 |
| 363 | Production coordinators | 3: Female | 94,614 | 390 | 380 | 9 |
| 363 | Production coordinators | 4: White | 184,024 | 723 | 707 | 22 |
| 363 | Production coordinators | 5: Black | 15,000 | 68 | 68 | 0 |
| 363 | Production coordinators | 6: Other | 5,187 | 22 | 20 | 2 |
| 363 | Production coordinators | 7: Hispanic | 8,866 | 35 | 32 | 2 |
| 363 | Production coordinators | 8: NonHispanic | 195,344 | 778 | 763 | 22 |
| 364 | Traffic, shipping, and receiving clerks | 1: Total | 531,212 | 2,034 | 1,988 | 61 |
| 364 | Traffic, shipping, and receiving clerks | 2: Male | 384,452 | 1,447 | 1,414 | 49 |
| 364 | Traffic, shipping, and receiving clerks | 3: Female | 146,759 | 587 | 574 | 12 |
| 364 | Traffic, shipping, and receiving clerks | 4: White | 434,475 | 1,640 | 1,600 | 44 |
| 364 | Traffic, shipping, and receiving clerks | 5: Black | 77,426 | 332 | 326 | 17 |
| 364 | Traffic, shipping, and receiving clerks | 6: Other | 19,310 | 62 | 62 | 0 |
| 364 | Traffic, shipping, and receiving clerks | 7: Hispanic | 57,292 | 207 | 203 | 4 |
| 364 | Traffic, shipping, and receiving clerks | 8: NonHispanic | 473,920 | 1,827 | 1,785 | 57 |
| 365 | Stock and inventory clerks | 1: Total | 585,833 | 2,303 | 2,238 | 58 |
| 365 | Stock and inventory clerks | 2: Male | 355,972 | 1,359 | 1,313 | 44 |
| 365 | Stock and inventory clerks | 3: Female | 229,861 | 944 | 925 | 14 |
| 365 | Stock and inventory clerks | 4: White | 483,956 | 1,863 | 1,816 | 46 |
| 365 | Stock and inventory clerks | 5: Black | 81,578 | 366 | 352 | 11 |
| 365 | Stock and inventory clerks | 6: Other | 20,299 | 74 | 70 | 1 |
| 365 | Stock and inventory clerks | 7: Hispanic | 49,932 | 198 | 193 | 6 |
| 365 | Stock and inventory clerks | 8: NonHispanic | 535,901 | 2,105 | 2,045 | 52 |
| 373 | Expediters | 1: Total | 169,140 | 666 | 652 | 5 |
| 373 | Expediters | 2: Male | 58,752 | 218 | 214 | 3 |
| 373 | Expediters | 3: Female | 110,388 | 448 | 438 | 2 |
| 373 | Expediters | 4: White | 143,787 | 554 | 543 | 5 |
| 373 | Expediters | 5: Black | 20,203 | 93 | 91 | 0 |
| 373 | Expediters | 6: Other | 5,150 | 19 | 18 | 0 |
| 373 | Expediters | 7: Hispanic | 13,687 | 50 | 49 | 0 |
| 373 | Expediters | 8: NonHispanic | 155,453 | 616 | 603 | 5 |
| 375 | Insurance adjusters, examiners, and investigators | 1: Total | 304,227 | 1,228 | 1,202 | 18 |
| 375 | Insurance adjusters, examiners, and investigators | 2: Male | 88,079 | 336 | 331 | 12 |
| 375 | Insurance adjusters, examiners, and investigators | 3: Female | 216,148 | 892 | 871 | 6 |
| 375 | Insurance adjusters, examiners, and investigators | 4: White | 258,407 | 1,019 | 998 | 17 |
| 375 | Insurance adjusters, examiners, and investigators | 5: Black | 37,062 | 176 | 172 | 1 |
| 375 | Insurance adjusters, examiners, and investigators | 6: Other | 8,758 | 33 | 32 | 0 |
| 375 | Insurance adjusters, examiners, and investigators | 7: Hispanic | 18,714 | 75 | 74 | 1 |
| 375 | Insurance adjusters, examiners, and investigators | 8: NonHispanic | 285,513 | 1,153 | 1,128 | 17 |
| 376 | Investigators and adjusters, except insurance | 1: Total | 636,942 | 2,527 | 2,457 | 40 |
| 376 | Investigators and adjusters, except insurance | 2: Male | 163,828 | 623 | 601 | 19 |
| 376 | Investigators and adjusters, except insurance | 3: Female | 473,114 | 1,904 | 1,856 | 21 |
| 376 | Investigators and adjusters, except insurance | 4: White | 544,471 | 2,127 | 2,068 | 34 |
| 376 | Investigators and adjusters, except insurance | 5: Black | 73,460 | 324 | 313 | 5 |
| 376 | Investigators and adjusters, except insurance | 6: Other | 19,011 | 76 | 76 | 1 |
| 376 | Investigators and adjusters, except insurance | 7: Hispanic | 45,242 | 182 | 179 | 2 |
| 376 | Investigators and adjusters, except insurance | 8: NonHispanic | 591,700 | 2,345 | 2,278 | 38 |
| 378 | Bill and account collectors | 1: Total | 133,916 | 519 | 497 | 13 |
| 378 | Bill and account collectors | 2: Male | 48,058 | 180 | 172 | 5 |
| 378 | Bill and account collectors | 3: Female | 85,858 | 339 | 325 | 8 |
| 378 | Bill and account collectors | 4: White | 114,532 | 438 | 420 | 11 |
| 378 | Bill and account collectors | 5: Black | 17,327 | 72 | 68 | 2 |
| 378 | Bill and account collectors | 6: Other | 2,057 | 9 | 9 | 0 |
| 378 | Bill and account collectors | 7: Hispanic | 11,787 | 51 | 46 | 1 |
| 378 | Bill and account collectors | 8: NonHispanic | 122,129 | 468 | 451 | 12 |
| 379 | General office clerks | 1: Total | 1,187,412 | 4,708 | 4,541 | 116 |
| 379 | General office clerks | 2: Male | 217,103 | 804 | 778 | 43 |
| 379 | General office clerks | 3: Female | 970,309 | 3,904 | 3,763 | 73 |
| 379 | General office clerks | 4: White | 992,097 | 3,819 | 3,693 | 95 |
| 379 | General office clerks | 5: Black | 147,483 | 714 | 683 | 17 |
| 379 | General office clerks | 6: Other | 47,832 | 175 | 165 | 4 |
| 379 | General office clerks | 7: Hispanic | 93,915 | 367 | 351 | 5 |
| 379 | General office clerks | 8: NonHispanic | 1,093,497 | 4,341 | 4,190 | 111 |
| 383 | Bank tellers | 1: Total | 452,802 | 1,791 | 1,754 | 35 |
| 383 | Bank tellers | 2: Male | 39,851 | 150 | 147 | 9 |
| 383 | Bank tellers | 3: Female | 412,951 | 1,641 | 1,607 | 26 |
| 383 | Bank tellers | 4: White | 391,439 | 1,524 | 1,496 | 30 |
| 383 | Bank tellers | 5: Black | 43,808 | 204 | 199 | 4 |
| 383 | Bank tellers | 6: Other | 17,555 | 63 | 59 | 1 |
| 383 | Bank tellers | 7: Hispanic | 34,169 | 132 | 129 | 4 |
| 383 | Bank tellers | 8: NonHispanic | 418,633 | 1,659 | 1,625 | 31 |
| 385 | Data-entry keyers | 1: Total | 485,635 | 2,007 | 1,961 | 39 |
| 385 | Data-entry keyers | 2: Male | 73,725 | 284 | 271 | 10 |
| 385 | Data-entry keyers | 3: Female | 411,909 | 1,723 | 1,690 | 29 |
| 385 | Data-entry keyers | 4: White | 365,475 | 1,453 | 1,426 | 29 |
| 385 | Data-entry keyers | 5: Black | 91,883 | 448 | 430 | 10 |
| 385 | Data-entry keyers | 6: Other | 28,277 | 106 | 105 | 0 |
| 385 | Data-entry keyers | 7: Hispanic | 35,687 | 143 | 142 | 0 |
| 385 | Data-entry keyers | 8: NonHispanic | 449,947 | 1,864 | 1,819 | 39 |
| 387 | Teachers aides | 1: Total | 388,785 | 1,625 | 1,587 | 34 |
| 387 | Teachers aides | 2: Male | 21,414 | 86 | 82 | 0 |
| 387 | Teachers aides | 3: Female | 367,370 | 1,539 | 1,505 | 34 |
| 387 | Teachers aides | 4: White | 314,883 | 1,261 | 1,232 | 24 |
| 387 | Teachers aides | 5: Black | 61,772 | 320 | 311 | 8 |
| 387 | Teachers aides | 6: Other | 12,130 | 44 | 44 | 2 |
| 387 | Teachers aides | 7: Hispanic | 52,219 | 210 | 204 | 3 |
| 387 | Teachers aides | 8: NonHispanic | 336,566 | 1,415 | 1,383 | 31 |
| 389 | Administrative support occs | 1: Total | 717,172 | 2,890 | 2,818 | 68 |
| 389 | Administrative support occs | 2: Male | 169,607 | 650 | 627 | 22 |
| 389 | Administrative support occs | 3: Female | 547,564 | 2,240 | 2,191 | 46 |
| 389 | Administrative support occs | 4: White | 603,814 | 2,371 | 2,314 | 57 |
| 389 | Administrative support occs | 5: Black | 82,999 | 405 | 394 | 11 |
| 389 | Administrative support occs | 6: Other | 30,359 | 114 | 110 | 0 |
| 389 | Administrative support occs | 7: Hispanic | 43,281 | 171 | 166 | 2 |
| 389 | Administrative support occs | 8: NonHispanic | 673,891 | 2,719 | 2,652 | 66 |
| 406 | Child care workers, private household | 1: Total | 184,736 | 735 | 721 | 22 |
| 406 | Child care workers, private household | 2: Male | 4,252 | 13 | 13 | 2 |
| 406 | Child care workers, private household | 3: Female | 180,484 | 722 | 708 | 20 |
| 406 | Child care workers, private household | 4: White | 152,239 | 581 | 569 | 16 |
| 406 | Child care workers, private household | 5: Black | 25,514 | 130 | 129 | 5 |
| 406 | Child care workers, private household | 6: Other | 6,983 | 24 | 23 | 1 |
| 406 | Child care workers, private household | 7: Hispanic | 20,558 | 77 | 75 | 0 |
| 406 | Child care workers, private household | 8: NonHispanic | 164,178 | 658 | 646 | 22 |
| 407 | Private household cleaners and servants | 1: Total | 515,168 | 2,307 | 2,251 | 118 |
| 407 | Private household cleaners and servants | 2: Male | 27,623 | 112 | 110 | 6 |
| 407 | Private household cleaners and servants | 3: Female | 487,545 | 2,195 | 2,141 | 112 |
| 407 | Private household cleaners and servants | 4: White | 334,219 | 1,353 | 1,315 | 44 |
| 407 | Private household cleaners and servants | 5: Black | 169,563 | 913 | 898 | 72 |
| 407 | Private household cleaners and servants | 6: Other | 11,386 | 41 | 38 | 2 |
| 407 | Private household cleaners and servants | 7: Hispanic | 93,012 | 380 | 372 | 5 |
| 407 | Private household cleaners and servants | 8: NonHispanic | 422,156 | 1,927 | 1,879 | 113 |
| 417 | Firefighting occs | 1: Total | 198,277 | 770 | 753 | 10 |
| 417 | Firefighting occs | 2: Male | 193,361 | 750 | 733 | 10 |
| 417 | Firefighting occs | 3: Female | 4,916 | 20 | 20 | 0 |
| 417 | Firefighting occs | 4: White | 173,027 | 670 | 655 | 8 |
| 417 | Firefighting occs | 5: Black | 19,686 | 82 | 81 | 2 |
| 417 | Firefighting occs | 6: Other | 5,564 | 18 | 17 | 0 |
| 417 | Firefighting occs | 7: Hispanic | 11,259 | 46 | 45 | 0 |
| 417 | Firefighting occs | 8: NonHispanic | 187,017 | 724 | 708 | 10 |
| 418 | Police and detectives, public service | 1: Total | 481,710 | 1,842 | 1,771 | 20 |
| 418 | Police and detectives, public service | 2: Male | 427,880 | 1,617 | 1,555 | 19 |
| 418 | Police and detectives, public service | 3: Female | 53,830 | 225 | 216 | 1 |
| 418 | Police and detectives, public service | 4: White | 415,697 | 1,576 | 1,517 | 20 |
| 418 | Police and detectives, public service | 5: Black | 57,495 | 235 | 228 | 0 |
| 418 | Police and detectives, public service | 6: Other | 8,517 | 31 | 26 | 0 |
| 418 | Police and detectives, public service | 7: Hispanic | 35,570 | 133 | 130 | 2 |
| 418 | Police and detectives, public service | 8: NonHispanic | 446,140 | 1,709 | 1,641 | 18 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 1: Total | 127,159 | 487 | 477 | 11 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 2: Male | 108,386 | 406 | 398 | 11 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 3: Female | 18,773 | 81 | 79 | 0 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 4: White | 110,731 | 414 | 407 | 10 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 5: Black | 14,369 | 66 | 63 | 1 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 6: Other | 2,059 | 7 | 7 | 0 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 7: Hispanic | 7,896 | 27 | 27 | 1 |
| 423 | Sheriffs/bailiffs/other law enforcement officers | 8: NonHispanic | 119,263 | 460 | 450 | 10 |
| 424 | Correctional institution officers | 1: Total | 219,927 | 853 | 829 | 26 |
| 424 | Correctional institution officers | 2: Male | 173,618 | 657 | 638 | 21 |
| 424 | Correctional institution officers | 3: Female | 46,309 | 196 | 191 | 5 |
| 424 | Correctional institution officers | 4: White | 156,718 | 598 | 584 | 20 |
| 424 | Correctional institution officers | 5: Black | 60,620 | 246 | 237 | 6 |
| 424 | Correctional institution officers | 6: Other | 2,589 | 9 | 8 | 0 |
| 424 | Correctional institution officers | 7: Hispanic | 16,375 | 61 | 59 | 3 |
| 424 | Correctional institution officers | 8: NonHispanic | 203,552 | 792 | 770 | 23 |
| 426 | Guards and police, except public service | 1: Total | 650,456 | 2,571 | 2,504 | 162 |
| 426 | Guards and police, except public service | 2: Male | 552,369 | 2,154 | 2,101 | 157 |
| 426 | Guards and police, except public service | 3: Female | 98,086 | 417 | 403 | 5 |
| 426 | Guards and police, except public service | 4: White | 480,103 | 1,811 | 1,760 | 120 |
| 426 | Guards and police, except public service | 5: Black | 149,390 | 677 | 664 | 38 |
| 426 | Guards and police, except public service | 6: Other | 20,963 | 83 | 80 | 4 |
| 426 | Guards and police, except public service | 7: Hispanic | 50,594 | 197 | 188 | 9 |
| 426 | Guards and police, except public service | 8: NonHispanic | 599,862 | 2,374 | 2,316 | 153 |
| 433 | Supervisors, food preparation and service occs | 1: Total | 259,072 | 1,006 | 978 | 23 |
| 433 | Supervisors, food preparation and service occs | 2: Male | 104,802 | 403 | 391 | 14 |
| 433 | Supervisors, food preparation and service occs | 3: Female | 154,270 | 603 | 587 | 9 |
| 433 | Supervisors, food preparation and service occs | 4: White | 204,666 | 770 | 751 | 16 |
| 433 | Supervisors, food preparation and service occs | 5: Black | 34,444 | 168 | 164 | 6 |
| 433 | Supervisors, food preparation and service occs | 6: Other | 19,962 | 68 | 63 | 1 |
| 433 | Supervisors, food preparation and service occs | 7: Hispanic | 25,251 | 87 | 85 | 5 |
| 433 | Supervisors, food preparation and service occs | 8: NonHispanic | 233,821 | 919 | 893 | 18 |
| 434 | Bartenders | 1: Total | 344,383 | 1,277 | 1,247 | 49 |
| 434 | Bartenders | 2: Male | 165,509 | 609 | 595 | 36 |
| 434 | Bartenders | 3: Female | 178,873 | 668 | 652 | 13 |
| 434 | Bartenders | 4: White | 316,379 | 1,178 | 1,150 | 46 |
| 434 | Bartenders | 5: Black | 16,534 | 62 | 60 | 3 |
| 434 | Bartenders | 6: Other | 11,470 | 37 | 37 | 0 |
| 434 | Bartenders | 7: Hispanic | 19,323 | 73 | 71 | 0 |
| 434 | Bartenders | 8: NonHispanic | 325,059 | 1,204 | 1,176 | 49 |
| 435 | Waiters and waitresses | 1: Total | 1,243,450 | 4,834 | 4,718 | 74 |
| 435 | Waiters and waitresses | 2: Male | 223,627 | 831 | 807 | 18 |
| 435 | Waiters and waitresses | 3: Female | 1,019,824 | 4,003 | 3,911 | 56 |
| 435 | Waiters and waitresses | 4: White | 1,111,262 | 4,303 | 4,203 | 66 |
| 435 | Waiters and waitresses | 5: Black | 61,054 | 276 | 267 | 4 |
| 435 | Waiters and waitresses | 6: Other | 71,135 | 255 | 248 | 4 |
| 435 | Waiters and waitresses | 7: Hispanic | 95,550 | 372 | 364 | 6 |
| 435 | Waiters and waitresses | 8: NonHispanic | 1,147,900 | 4,462 | 4,354 | 68 |
| 436 | Cooks | 1: Total | 1,587,227 | 6,414 | 6,301 | 163 |
| 436 | Cooks | 2: Male | 783,771 | 2,992 | 2,926 | 72 |
| 436 | Cooks | 3: Female | 803,457 | 3,422 | 3,375 | 91 |
| 436 | Cooks | 4: White | 1,172,926 | 4,547 | 4,482 | 110 |
| 436 | Cooks | 5: Black | 300,435 | 1,439 | 1,408 | 46 |
| 436 | Cooks | 6: Other | 113,866 | 428 | 411 | 7 |
| 436 | Cooks | 7: Hispanic | 209,332 | 808 | 791 | 16 |
| 436 | Cooks | 8: NonHispanic | 1,377,895 | 5,606 | 5,510 | 147 |
| 438 | Food counter/fountain/related occs | 1: Total | 176,859 | 695 | 677 | 8 |
| 438 | Food counter/fountain/related occs | 2: Male | 45,699 | 168 | 163 | 4 |
| 438 | Food counter/fountain/related occs | 3: Female | 131,160 | 527 | 514 | 4 |
| 438 | Food counter/fountain/related occs | 4: White | 146,014 | 567 | 556 | 6 |
| 438 | Food counter/fountain/related occs | 5: Black | 19,953 | 94 | 87 | 0 |
| 438 | Food counter/fountain/related occs | 6: Other | 10,892 | 34 | 34 | 2 |
| 438 | Food counter/fountain/related occs | 7: Hispanic | 17,933 | 67 | 67 | 4 |
| 438 | Food counter/fountain/related occs | 8: NonHispanic | 158,926 | 628 | 610 | 4 |
| 439 | Kitchen workers, food preparation | 1: Total | 192,563 | 789 | 770 | 22 |
| 439 | Kitchen workers, food preparation | 2: Male | 57,965 | 228 | 222 | 5 |
| 439 | Kitchen workers, food preparation | 3: Female | 134,598 | 561 | 548 | 17 |
| 439 | Kitchen workers, food preparation | 4: White | 157,272 | 625 | 610 | 12 |
| 439 | Kitchen workers, food preparation | 5: Black | 26,793 | 131 | 128 | 9 |
| 439 | Kitchen workers, food preparation | 6: Other | 8,499 | 33 | 32 | 1 |
| 439 | Kitchen workers, food preparation | 7: Hispanic | 27,503 | 110 | 108 | 0 |
| 439 | Kitchen workers, food preparation | 8: NonHispanic | 165,061 | 679 | 662 | 22 |
| 443 | Waiters/waitresses assistants | 1: Total | 264,739 | 1,045 | 1,014 | 29 |
| 443 | Waiters/waitresses assistants | 2: Male | 136,888 | 518 | 498 | 11 |
| 443 | Waiters/waitresses assistants | 3: Female | 127,851 | 527 | 516 | 18 |
| 443 | Waiters/waitresses assistants | 4: White | 198,354 | 751 | 727 | 22 |
| 443 | Waiters/waitresses assistants | 5: Black | 45,895 | 217 | 213 | 6 |
| 443 | Waiters/waitresses assistants | 6: Other | 20,490 | 77 | 74 | 1 |
| 443 | Waiters/waitresses assistants | 7: Hispanic | 57,751 | 219 | 211 | 4 |
| 443 | Waiters/waitresses assistants | 8: NonHispanic | 206,988 | 826 | 803 | 25 |
| 444 | Miscellaneous food preparation occs | 1: Total | 501,893 | 2,037 | 1,986 | 65 |
| 444 | Miscellaneous food preparation occs | 2: Male | 215,820 | 828 | 805 | 26 |
| 444 | Miscellaneous food preparation occs | 3: Female | 286,073 | 1,209 | 1,181 | 39 |
| 444 | Miscellaneous food preparation occs | 4: White | 370,694 | 1,446 | 1,414 | 42 |
| 444 | Miscellaneous food preparation occs | 5: Black | 99,163 | 483 | 468 | 20 |
| 444 | Miscellaneous food preparation occs | 6: Other | 32,036 | 108 | 104 | 3 |
| 444 | Miscellaneous food preparation occs | 7: Hispanic | 84,834 | 344 | 340 | 8 |
| 444 | Miscellaneous food preparation occs | 8: NonHispanic | 417,059 | 1,693 | 1,646 | 57 |
| 445 | Dental assistants | 1: Total | 176,208 | 693 | 682 | 3 |
| 445 | Dental assistants | 2: Male | 2,344 | 10 | 10 | 0 |
| 445 | Dental assistants | 3: Female | 173,864 | 683 | 672 | 3 |
| 445 | Dental assistants | 4: White | 158,379 | 624 | 614 | 3 |
| 445 | Dental assistants | 5: Black | 9,318 | 37 | 37 | 0 |
| 445 | Dental assistants | 6: Other | 8,511 | 32 | 31 | 0 |
| 445 | Dental assistants | 7: Hispanic | 14,666 | 55 | 54 | 0 |
| 445 | Dental assistants | 8: NonHispanic | 161,542 | 638 | 628 | 3 |
| 446 | Health aides, except nursing | 1: Total | 333,037 | 1,368 | 1,340 | 27 |
| 446 | Health aides, except nursing | 2: Male | 51,970 | 207 | 202 | 9 |
| 446 | Health aides, except nursing | 3: Female | 281,067 | 1,161 | 1,138 | 18 |
| 446 | Health aides, except nursing | 4: White | 257,471 | 1,007 | 985 | 16 |
| 446 | Health aides, except nursing | 5: Black | 61,364 | 307 | 302 | 10 |
| 446 | Health aides, except nursing | 6: Other | 14,202 | 54 | 53 | 1 |
| 446 | Health aides, except nursing | 7: Hispanic | 28,147 | 111 | 108 | 1 |
| 446 | Health aides, except nursing | 8: NonHispanic | 304,890 | 1,257 | 1,232 | 26 |
| 447 | Nursing aides, orderlies, and attendants | 1: Total | 1,477,561 | 6,447 | 6,316 | 166 |
| 447 | Nursing aides, orderlies, and attendants | 2: Male | 153,470 | 603 | 592 | 20 |
| 447 | Nursing aides, orderlies, and attendants | 3: Female | 1,324,091 | 5,844 | 5,724 | 146 |
| 447 | Nursing aides, orderlies, and attendants | 4: White | 961,155 | 3,846 | 3,764 | 88 |
| 447 | Nursing aides, orderlies, and attendants | 5: Black | 458,338 | 2,377 | 2,335 | 75 |
| 447 | Nursing aides, orderlies, and attendants | 6: Other | 58,068 | 224 | 217 | 3 |
| 447 | Nursing aides, orderlies, and attendants | 7: Hispanic | 114,207 | 466 | 452 | 11 |
| 447 | Nursing aides, orderlies, and attendants | 8: NonHispanic | 1,363,354 | 5,981 | 5,864 | 155 |
| 448 | Supervisors, cleaning and building service workers | 1: Total | 159,703 | 661 | 648 | 34 |
| 448 | Supervisors, cleaning and building service workers | 2: Male | 105,146 | 404 | 397 | 24 |
| 448 | Supervisors, cleaning and building service workers | 3: Female | 54,556 | 257 | 251 | 10 |
| 448 | Supervisors, cleaning and building service workers | 4: White | 114,658 | 446 | 436 | 24 |
| 448 | Supervisors, cleaning and building service workers | 5: Black | 38,557 | 192 | 190 | 9 |
| 448 | Supervisors, cleaning and building service workers | 6: Other | 6,487 | 23 | 22 | 1 |
| 448 | Supervisors, cleaning and building service workers | 7: Hispanic | 16,618 | 66 | 64 | 1 |
| 448 | Supervisors, cleaning and building service workers | 8: NonHispanic | 143,085 | 595 | 584 | 33 |
| 449 | Maids and housemen | 1: Total | 551,376 | 2,366 | 2,323 | 64 |
| 449 | Maids and housemen | 2: Male | 96,994 | 388 | 381 | 15 |
| 449 | Maids and housemen | 3: Female | 454,381 | 1,978 | 1,942 | 49 |
| 449 | Maids and housemen | 4: White | 354,519 | 1,409 | 1,383 | 37 |
| 449 | Maids and housemen | 5: Black | 163,377 | 835 | 819 | 27 |
| 449 | Maids and housemen | 6: Other | 33,480 | 122 | 121 | 0 |
| 449 | Maids and housemen | 7: Hispanic | 92,528 | 367 | 358 | 9 |
| 449 | Maids and housemen | 8: NonHispanic | 458,848 | 1,999 | 1,965 | 55 |
| 453 | Janitors and cleaners | 1: Total | 2,067,101 | 8,601 | 8,411 | 452 |
| 453 | Janitors and cleaners | 2: Male | 1,409,633 | 5,744 | 5,609 | 347 |
| 453 | Janitors and cleaners | 3: Female | 657,468 | 2,857 | 2,802 | 105 |
| 453 | Janitors and cleaners | 4: White | 1,517,278 | 5,982 | 5,846 | 273 |
| 453 | Janitors and cleaners | 5: Black | 459,686 | 2,303 | 2,254 | 165 |
| 453 | Janitors and cleaners | 6: Other | 90,137 | 316 | 311 | 14 |
| 453 | Janitors and cleaners | 7: Hispanic | 282,343 | 1,123 | 1,101 | 37 |
| 453 | Janitors and cleaners | 8: NonHispanic | 1,784,758 | 7,478 | 7,310 | 415 |
| 458 | Hairdressers and cosmetologists | 1: Total | 741,546 | 2,972 | 2,879 | 56 |
| 458 | Hairdressers and cosmetologists | 2: Male | 68,233 | 264 | 256 | 15 |
| 458 | Hairdressers and cosmetologists | 3: Female | 673,312 | 2,708 | 2,623 | 41 |
| 458 | Hairdressers and cosmetologists | 4: White | 648,508 | 2,544 | 2,463 | 46 |
| 458 | Hairdressers and cosmetologists | 5: Black | 60,742 | 306 | 297 | 8 |
| 458 | Hairdressers and cosmetologists | 6: Other | 32,296 | 122 | 119 | 2 |
| 458 | Hairdressers and cosmetologists | 7: Hispanic | 51,330 | 192 | 185 | 3 |
| 458 | Hairdressers and cosmetologists | 8: NonHispanic | 690,216 | 2,780 | 2,694 | 53 |
| 459 | Attendants, amusement and recreation facilities | 1: Total | 120,428 | 442 | 424 | 11 |
| 459 | Attendants, amusement and recreation facilities | 2: Male | 77,155 | 277 | 266 | 8 |
| 459 | Attendants, amusement and recreation facilities | 3: Female | 43,272 | 165 | 158 | 3 |
| 459 | Attendants, amusement and recreation facilities | 4: White | 102,381 | 374 | 359 | 10 |
| 459 | Attendants, amusement and recreation facilities | 5: Black | 9,840 | 42 | 41 | 1 |
| 459 | Attendants, amusement and recreation facilities | 6: Other | 8,206 | 26 | 24 | 0 |
| 459 | Attendants, amusement and recreation facilities | 7: Hispanic | 6,990 | 28 | 27 | 0 |
| 459 | Attendants, amusement and recreation facilities | 8: NonHispanic | 113,438 | 414 | 397 | 11 |
| 468 | Child care workers | 1: Total | 855,757 | 3,537 | 3,468 | 97 |
| 468 | Child care workers | 2: Male | 30,500 | 117 | 112 | 11 |
| 468 | Child care workers | 3: Female | 825,256 | 3,420 | 3,356 | 86 |
| 468 | Child care workers | 4: White | 724,662 | 2,892 | 2,829 | 70 |
| 468 | Child care workers | 5: Black | 110,510 | 567 | 563 | 24 |
| 468 | Child care workers | 6: Other | 20,585 | 78 | 76 | 3 |
| 468 | Child care workers | 7: Hispanic | 65,679 | 268 | 265 | 10 |
| 468 | Child care workers | 8: NonHispanic | 790,077 | 3,269 | 3,203 | 87 |
| 469 | Personal service occs, ne.c. | 1: Total | 222,426 | 894 | 873 | 25 |
| 469 | Personal service occs, ne.c. | 2: Male | 71,762 | 277 | 272 | 11 |
| 469 | Personal service occs, ne.c. | 3: Female | 150,664 | 617 | 601 | 14 |
| 469 | Personal service occs, ne.c. | 4: White | 177,821 | 675 | 659 | 16 |
| 469 | Personal service occs, ne.c. | 5: Black | 36,056 | 185 | 181 | 8 |
| 469 | Personal service occs, ne.c. | 6: Other | 8,548 | 34 | 33 | 1 |
| 469 | Personal service occs, ne.c. | 7: Hispanic | 24,343 | 94 | 91 | 1 |
| 469 | Personal service occs, ne.c. | 8: NonHispanic | 198,082 | 800 | 782 | 24 |
| 473 | Farmers, except horticultural | 1: Total | 1,166,644 | 4,899 | 4,726 | 373 |
| 473 | Farmers, except horticultural | 2: Male | 975,641 | 4,077 | 3,930 | 337 |
| 473 | Farmers, except horticultural | 3: Female | 191,002 | 822 | 796 | 36 |
| 473 | Farmers, except horticultural | 4: White | 1,139,195 | 4,792 | 4,623 | 358 |
| 473 | Farmers, except horticultural | 5: Black | 18,651 | 71 | 69 | 14 |
| 473 | Farmers, except horticultural | 6: Other | 8,798 | 36 | 34 | 1 |
| 473 | Farmers, except horticultural | 7: Hispanic | 22,847 | 88 | 82 | 5 |
| 473 | Farmers, except horticultural | 8: NonHispanic | 1,143,797 | 4,811 | 4,644 | 368 |
| 475 | Managers, farms, except horticultural | 1: Total | 167,631 | 692 | 667 | 28 |
| 475 | Managers, farms, except horticultural | 2: Male | 139,372 | 568 | 547 | 24 |
| 475 | Managers, farms, except horticultural | 3: Female | 28,260 | 124 | 120 | 4 |
| 475 | Managers, farms, except horticultural | 4: White | 161,151 | 670 | 645 | 26 |
| 475 | Managers, farms, except horticultural | 5: Black | 4,473 | 14 | 14 | 0 |
| 475 | Managers, farms, except horticultural | 6: Other | 2,007 | 8 | 8 | 2 |
| 475 | Managers, farms, except horticultural | 7: Hispanic | 12,531 | 52 | 51 | 4 |
| 475 | Managers, farms, except horticultural | 8: NonHispanic | 155,100 | 640 | 616 | 24 |
| 479 | Farm workers | 1: Total | 686,987 | 2,811 | 2,750 | 116 |
| 479 | Farm workers | 2: Male | 544,374 | 2,210 | 2,164 | 101 |
| 479 | Farm workers | 3: Female | 142,613 | 601 | 586 | 15 |
| 479 | Farm workers | 4: White | 626,954 | 2,559 | 2,501 | 90 |
| 479 | Farm workers | 5: Black | 50,321 | 209 | 206 | 25 |
| 479 | Farm workers | 6: Other | 9,712 | 43 | 43 | 1 |
| 479 | Farm workers | 7: Hispanic | 198,614 | 791 | 769 | 20 |
| 479 | Farm workers | 8: NonHispanic | 488,373 | 2,020 | 1,981 | 96 |
| 485 | Supervisors, related agricultural occs | 1: Total | 100,868 | 385 | 380 | 15 |
| 485 | Supervisors, related agricultural occs | 2: Male | 92,700 | 352 | 348 | 14 |
| 485 | Supervisors, related agricultural occs | 3: Female | 8,168 | 33 | 32 | 1 |
| 485 | Supervisors, related agricultural occs | 4: White | 90,024 | 344 | 339 | 13 |
| 485 | Supervisors, related agricultural occs | 5: Black | 8,543 | 33 | 33 | 2 |
| 485 | Supervisors, related agricultural occs | 6: Other | 2,301 | 8 | 8 | 0 |
| 485 | Supervisors, related agricultural occs | 7: Hispanic | 11,614 | 44 | 44 | 3 |
| 485 | Supervisors, related agricultural occs | 8: NonHispanic | 89,254 | 341 | 336 | 12 |
| 486 | Groundskeepers and gardeners, except farm | 1: Total | 632,818 | 2,502 | 2,431 | 98 |
| 486 | Groundskeepers and gardeners, except farm | 2: Male | 588,437 | 2,322 | 2,254 | 94 |
| 486 | Groundskeepers and gardeners, except farm | 3: Female | 44,381 | 180 | 177 | 4 |
| 486 | Groundskeepers and gardeners, except farm | 4: White | 525,323 | 2,022 | 1,963 | 70 |
| 486 | Groundskeepers and gardeners, except farm | 5: Black | 87,800 | 409 | 398 | 23 |
| 486 | Groundskeepers and gardeners, except farm | 6: Other | 19,695 | 71 | 70 | 5 |
| 486 | Groundskeepers and gardeners, except farm | 7: Hispanic | 117,128 | 464 | 446 | 11 |
| 486 | Groundskeepers and gardeners, except farm | 8: NonHispanic | 515,690 | 2,038 | 1,985 | 87 |
| 496 | Timber cutting and logging occs | 1: Total | 104,819 | 398 | 381 | 21 |
| 496 | Timber cutting and logging occs | 2: Male | 101,439 | 384 | 368 | 21 |
| 496 | Timber cutting and logging occs | 3: Female | 3,379 | 14 | 13 | 0 |
| 496 | Timber cutting and logging occs | 4: White | 89,520 | 337 | 324 | 17 |
| 496 | Timber cutting and logging occs | 5: Black | 14,842 | 59 | 55 | 4 |
| 496 | Timber cutting and logging occs | 6: Other | 456 | 2 | 2 | 0 |
| 496 | Timber cutting and logging occs | 7: Hispanic | 2,739 | 12 | 12 | 0 |
| 496 | Timber cutting and logging occs | 8: NonHispanic | 102,079 | 386 | 369 | 21 |
| 503 | Supervisors, mechanics and repairers | 1: Total | 282,895 | 1,106 | 1,087 | 38 |
| 503 | Supervisors, mechanics and repairers | 2: Male | 265,131 | 1,033 | 1,016 | 36 |
| 503 | Supervisors, mechanics and repairers | 3: Female | 17,764 | 73 | 71 | 2 |
| 503 | Supervisors, mechanics and repairers | 4: White | 261,524 | 1,003 | 985 | 31 |
| 503 | Supervisors, mechanics and repairers | 5: Black | 14,507 | 78 | 77 | 7 |
| 503 | Supervisors, mechanics and repairers | 6: Other | 6,865 | 25 | 25 | 0 |
| 503 | Supervisors, mechanics and repairers | 7: Hispanic | 12,316 | 46 | 45 | 1 |
| 503 | Supervisors, mechanics and repairers | 8: NonHispanic | 270,579 | 1,060 | 1,042 | 37 |
| 505 | Automobile mechanics | 1: Total | 924,831 | 3,553 | 3,474 | 104 |
| 505 | Automobile mechanics | 2: Male | 911,752 | 3,504 | 3,426 | 104 |
| 505 | Automobile mechanics | 3: Female | 13,079 | 49 | 48 | 0 |
| 505 | Automobile mechanics | 4: White | 823,872 | 3,122 | 3,054 | 83 |
| 505 | Automobile mechanics | 5: Black | 74,283 | 335 | 326 | 19 |
| 505 | Automobile mechanics | 6: Other | 26,676 | 96 | 94 | 2 |
| 505 | Automobile mechanics | 7: Hispanic | 84,143 | 312 | 306 | 5 |
| 505 | Automobile mechanics | 8: NonHispanic | 840,688 | 3,241 | 3,168 | 99 |
| 507 | Bus, truck, and stationary engine mechanics | 1: Total | 312,281 | 1,208 | 1,178 | 45 |
| 507 | Bus, truck, and stationary engine mechanics | 2: Male | 309,444 | 1,196 | 1,166 | 45 |
| 507 | Bus, truck, and stationary engine mechanics | 3: Female | 2,837 | 12 | 12 | 0 |
| 507 | Bus, truck, and stationary engine mechanics | 4: White | 279,594 | 1,068 | 1,042 | 41 |
| 507 | Bus, truck, and stationary engine mechanics | 5: Black | 26,549 | 121 | 117 | 4 |
| 507 | Bus, truck, and stationary engine mechanics | 6: Other | 6,137 | 19 | 19 | 0 |
| 507 | Bus, truck, and stationary engine mechanics | 7: Hispanic | 21,696 | 83 | 81 | 6 |
| 507 | Bus, truck, and stationary engine mechanics | 8: NonHispanic | 290,585 | 1,125 | 1,097 | 39 |
| 508 | Aircraft engine mechanics | 1: Total | 139,849 | 526 | 516 | 10 |
| 508 | Aircraft engine mechanics | 2: Male | 136,446 | 511 | 502 | 10 |
| 508 | Aircraft engine mechanics | 3: Female | 3,403 | 15 | 14 | 0 |
| 508 | Aircraft engine mechanics | 4: White | 119,200 | 442 | 437 | 6 |
| 508 | Aircraft engine mechanics | 5: Black | 13,166 | 59 | 55 | 3 |
| 508 | Aircraft engine mechanics | 6: Other | 7,483 | 25 | 24 | 1 |
| 508 | Aircraft engine mechanics | 7: Hispanic | 16,273 | 59 | 59 | 1 |
| 508 | Aircraft engine mechanics | 8: NonHispanic | 123,576 | 467 | 457 | 9 |
| 514 | Automobile body and related repairers | 1: Total | 194,183 | 751 | 736 | 23 |
| 514 | Automobile body and related repairers | 2: Male | 190,848 | 737 | 722 | 23 |
| 514 | Automobile body and related repairers | 3: Female | 3,336 | 14 | 14 | 0 |
| 514 | Automobile body and related repairers | 4: White | 180,530 | 686 | 672 | 22 |
| 514 | Automobile body and related repairers | 5: Black | 9,605 | 49 | 48 | 0 |
| 514 | Automobile body and related repairers | 6: Other | 4,048 | 16 | 16 | 1 |
| 514 | Automobile body and related repairers | 7: Hispanic | 18,112 | 71 | 70 | 3 |
| 514 | Automobile body and related repairers | 8: NonHispanic | 176,071 | 680 | 666 | 20 |
| 516 | Heavy equipment mechanics | 1: Total | 162,026 | 626 | 615 | 20 |
| 516 | Heavy equipment mechanics | 2: Male | 160,399 | 620 | 609 | 20 |
| 516 | Heavy equipment mechanics | 3: Female | 1,627 | 6 | 6 | 0 |
| 516 | Heavy equipment mechanics | 4: White | 148,046 | 570 | 560 | 17 |
| 516 | Heavy equipment mechanics | 5: Black | 10,117 | 45 | 44 | 3 |
| 516 | Heavy equipment mechanics | 6: Other | 3,863 | 11 | 11 | 0 |
| 516 | Heavy equipment mechanics | 7: Hispanic | 9,945 | 38 | 38 | 2 |
| 516 | Heavy equipment mechanics | 8: NonHispanic | 152,082 | 588 | 577 | 18 |
| 518 | Industrial machinery repairers | 1: Total | 423,173 | 1,664 | 1,637 | 54 |
| 518 | Industrial machinery repairers | 2: Male | 407,439 | 1,603 | 1,578 | 52 |
| 518 | Industrial machinery repairers | 3: Female | 15,734 | 61 | 59 | 2 |
| 518 | Industrial machinery repairers | 4: White | 378,313 | 1,482 | 1,455 | 47 |
| 518 | Industrial machinery repairers | 5: Black | 35,436 | 147 | 147 | 7 |
| 518 | Industrial machinery repairers | 6: Other | 9,424 | 35 | 35 | 0 |
| 518 | Industrial machinery repairers | 7: Hispanic | 29,582 | 117 | 115 | 3 |
| 518 | Industrial machinery repairers | 8: NonHispanic | 393,591 | 1,547 | 1,522 | 51 |
| 523 | Electronic repairers, communication/industrial equipment | 1: Total | 169,027 | 647 | 629 | 11 |
| 523 | Electronic repairers, communication/industrial equipment | 2: Male | 153,324 | 582 | 564 | 9 |
| 523 | Electronic repairers, communication/industrial equipment | 3: Female | 15,702 | 65 | 65 | 2 |
| 523 | Electronic repairers, communication/industrial equipment | 4: White | 142,679 | 540 | 528 | 9 |
| 523 | Electronic repairers, communication/industrial equipment | 5: Black | 21,472 | 89 | 84 | 2 |
| 523 | Electronic repairers, communication/industrial equipment | 6: Other | 4,875 | 18 | 17 | 0 |
| 523 | Electronic repairers, communication/industrial equipment | 7: Hispanic | 13,124 | 50 | 49 | 0 |
| 523 | Electronic repairers, communication/industrial equipment | 8: NonHispanic | 155,903 | 597 | 580 | 11 |
| 529 | Telephone installers and repairers | 1: Total | 162,838 | 644 | 633 | 19 |
| 529 | Telephone installers and repairers | 2: Male | 144,286 | 567 | 557 | 18 |
| 529 | Telephone installers and repairers | 3: Female | 18,552 | 77 | 76 | 1 |
| 529 | Telephone installers and repairers | 4: White | 144,681 | 571 | 560 | 16 |
| 529 | Telephone installers and repairers | 5: Black | 15,049 | 60 | 60 | 3 |
| 529 | Telephone installers and repairers | 6: Other | 3,108 | 13 | 13 | 0 |
| 529 | Telephone installers and repairers | 7: Hispanic | 12,142 | 47 | 47 | 4 |
| 529 | Telephone installers and repairers | 8: NonHispanic | 150,696 | 597 | 586 | 15 |
| 534 | Heating air conditioning, and refrigeration mechanics | 1: Total | 225,091 | 848 | 826 | 20 |
| 534 | Heating air conditioning, and refrigeration mechanics | 2: Male | 224,245 | 844 | 822 | 20 |
| 534 | Heating air conditioning, and refrigeration mechanics | 3: Female | 846 | 4 | 4 | 0 |
| 534 | Heating air conditioning, and refrigeration mechanics | 4: White | 208,347 | 785 | 765 | 16 |
| 534 | Heating air conditioning, and refrigeration mechanics | 5: Black | 11,777 | 46 | 45 | 2 |
| 534 | Heating air conditioning, and refrigeration mechanics | 6: Other | 4,968 | 17 | 16 | 2 |
| 534 | Heating air conditioning, and refrigeration mechanics | 7: Hispanic | 15,365 | 61 | 61 | 1 |
| 534 | Heating air conditioning, and refrigeration mechanics | 8: NonHispanic | 209,727 | 787 | 765 | 19 |
| 547 | Specified mechanics and repairers | 1: Total | 257,127 | 994 | 981 | 30 |
| 547 | Specified mechanics and repairers | 2: Male | 242,820 | 934 | 922 | 30 |
| 547 | Specified mechanics and repairers | 3: Female | 14,307 | 60 | 59 | 0 |
| 547 | Specified mechanics and repairers | 4: White | 227,503 | 874 | 863 | 24 |
| 547 | Specified mechanics and repairers | 5: Black | 19,706 | 85 | 83 | 6 |
| 547 | Specified mechanics and repairers | 6: Other | 9,917 | 35 | 35 | 0 |
| 547 | Specified mechanics and repairers | 7: Hispanic | 21,620 | 85 | 84 | 2 |
| 547 | Specified mechanics and repairers | 8: NonHispanic | 235,507 | 909 | 897 | 28 |
| 549 | Not specified mechanics and repairers | 1: Total | 254,196 | 982 | 950 | 40 |
| 549 | Not specified mechanics and repairers | 2: Male | 240,104 | 923 | 894 | 40 |
| 549 | Not specified mechanics and repairers | 3: Female | 14,091 | 59 | 56 | 0 |
| 549 | Not specified mechanics and repairers | 4: White | 218,993 | 841 | 813 | 31 |
| 549 | Not specified mechanics and repairers | 5: Black | 29,737 | 119 | 116 | 8 |
| 549 | Not specified mechanics and repairers | 6: Other | 5,465 | 22 | 21 | 1 |
| 549 | Not specified mechanics and repairers | 7: Hispanic | 20,810 | 81 | 80 | 2 |
| 549 | Not specified mechanics and repairers | 8: NonHispanic | 233,386 | 901 | 870 | 38 |
| 558 | Supervisors, construction | 1: Total | 509,017 | 1,970 | 1,903 | 55 |
| 558 | Supervisors, construction | 2: Male | 501,602 | 1,938 | 1,872 | 54 |
| 558 | Supervisors, construction | 3: Female | 7,415 | 32 | 31 | 1 |
| 558 | Supervisors, construction | 4: White | 477,148 | 1,824 | 1,759 | 47 |
| 558 | Supervisors, construction | 5: Black | 23,959 | 116 | 115 | 6 |
| 558 | Supervisors, construction | 6: Other | 7,909 | 30 | 29 | 2 |
| 558 | Supervisors, construction | 7: Hispanic | 33,067 | 124 | 120 | 2 |
| 558 | Supervisors, construction | 8: NonHispanic | 475,950 | 1,846 | 1,783 | 53 |
| 563 | Brickmasons and stonemasons | 1: Total | 179,883 | 699 | 680 | 32 |
| 563 | Brickmasons and stonemasons | 2: Male | 178,943 | 695 | 676 | 32 |
| 563 | Brickmasons and stonemasons | 3: Female | 940 | 4 | 4 | 0 |
| 563 | Brickmasons and stonemasons | 4: White | 151,238 | 574 | 559 | 25 |
| 563 | Brickmasons and stonemasons | 5: Black | 25,281 | 114 | 111 | 7 |
| 563 | Brickmasons and stonemasons | 6: Other | 3,363 | 11 | 10 | 0 |
| 563 | Brickmasons and stonemasons | 7: Hispanic | 15,571 | 61 | 59 | 2 |
| 563 | Brickmasons and stonemasons | 8: NonHispanic | 164,312 | 638 | 621 | 30 |
| 567 | Carpenters | 1: Total | 1,336,839 | 5,112 | 4,962 | 159 |
| 567 | Carpenters | 2: Male | 1,320,133 | 5,047 | 4,900 | 159 |
| 567 | Carpenters | 3: Female | 16,705 | 65 | 62 | 0 |
| 567 | Carpenters | 4: White | 1,234,330 | 4,685 | 4,549 | 142 |
| 567 | Carpenters | 5: Black | 75,647 | 337 | 326 | 16 |
| 567 | Carpenters | 6: Other | 26,862 | 90 | 87 | 1 |
| 567 | Carpenters | 7: Hispanic | 102,190 | 388 | 383 | 15 |
| 567 | Carpenters | 8: NonHispanic | 1,234,649 | 4,724 | 4,579 | 144 |
| 573 | Drywall installers | 1: Total | 137,655 | 512 | 504 | 5 |
| 573 | Drywall installers | 2: Male | 134,036 | 496 | 488 | 5 |
| 573 | Drywall installers | 3: Female | 3,619 | 16 | 16 | 0 |
| 573 | Drywall installers | 4: White | 123,513 | 458 | 450 | 5 |
| 573 | Drywall installers | 5: Black | 9,959 | 42 | 42 | 0 |
| 573 | Drywall installers | 6: Other | 4,183 | 12 | 12 | 0 |
| 573 | Drywall installers | 7: Hispanic | 23,712 | 81 | 81 | 1 |
| 573 | Drywall installers | 8: NonHispanic | 113,944 | 431 | 423 | 4 |
| 575 | Electricians | 1: Total | 626,998 | 2,416 | 2,360 | 63 |
| 575 | Electricians | 2: Male | 615,184 | 2,364 | 2,310 | 63 |
| 575 | Electricians | 3: Female | 11,815 | 52 | 50 | 0 |
| 575 | Electricians | 4: White | 574,256 | 2,187 | 2,137 | 55 |
| 575 | Electricians | 5: Black | 33,466 | 158 | 155 | 6 |
| 575 | Electricians | 6: Other | 19,276 | 71 | 68 | 2 |
| 575 | Electricians | 7: Hispanic | 40,665 | 159 | 156 | 2 |
| 575 | Electricians | 8: NonHispanic | 586,333 | 2,257 | 2,204 | 61 |
| 579 | Painters, construction and maintenance | 1: Total | 495,214 | 1,918 | 1,876 | 58 |
| 579 | Painters, construction and maintenance | 2: Male | 461,048 | 1,784 | 1,747 | 56 |
| 579 | Painters, construction and maintenance | 3: Female | 34,166 | 134 | 129 | 2 |
| 579 | Painters, construction and maintenance | 4: White | 439,798 | 1,667 | 1,632 | 46 |
| 579 | Painters, construction and maintenance | 5: Black | 43,566 | 208 | 202 | 10 |
| 579 | Painters, construction and maintenance | 6: Other | 11,850 | 43 | 42 | 2 |
| 579 | Painters, construction and maintenance | 7: Hispanic | 70,062 | 264 | 261 | 5 |
| 579 | Painters, construction and maintenance | 8: NonHispanic | 425,152 | 1,654 | 1,615 | 53 |
| 585 | Plumbers, pipefitters, and steamfitters | 1: Total | 419,839 | 1,623 | 1,577 | 59 |
| 585 | Plumbers, pipefitters, and steamfitters | 2: Male | 414,524 | 1,599 | 1,555 | 59 |
| 585 | Plumbers, pipefitters, and steamfitters | 3: Female | 5,314 | 24 | 22 | 0 |
| 585 | Plumbers, pipefitters, and steamfitters | 4: White | 380,160 | 1,458 | 1,414 | 47 |
| 585 | Plumbers, pipefitters, and steamfitters | 5: Black | 32,057 | 138 | 137 | 11 |
| 585 | Plumbers, pipefitters, and steamfitters | 6: Other | 7,622 | 27 | 26 | 1 |
| 585 | Plumbers, pipefitters, and steamfitters | 7: Hispanic | 30,643 | 116 | 111 | 4 |
| 585 | Plumbers, pipefitters, and steamfitters | 8: NonHispanic | 389,196 | 1,507 | 1,466 | 55 |
| 595 | Roofers | 1: Total | 158,847 | 613 | 600 | 23 |
| 595 | Roofers | 2: Male | 156,840 | 605 | 592 | 23 |
| 595 | Roofers | 3: Female | 2,007 | 8 | 8 | 0 |
| 595 | Roofers | 4: White | 139,456 | 530 | 518 | 15 |
| 595 | Roofers | 5: Black | 14,822 | 66 | 65 | 5 |
| 595 | Roofers | 6: Other | 4,569 | 17 | 17 | 3 |
| 595 | Roofers | 7: Hispanic | 22,136 | 91 | 90 | 2 |
| 595 | Roofers | 8: NonHispanic | 136,711 | 522 | 510 | 21 |
| 599 | Construction trades, nec. | 1: Total | 169,750 | 662 | 649 | 23 |
| 599 | Construction trades, nec. | 2: Male | 167,215 | 651 | 638 | 23 |
| 599 | Construction trades, nec. | 3: Female | 2,535 | 11 | 11 | 0 |
| 599 | Construction trades, nec. | 4: White | 149,659 | 570 | 557 | 18 |
| 599 | Construction trades, nec. | 5: Black | 17,411 | 81 | 81 | 4 |
| 599 | Construction trades, nec. | 6: Other | 2,680 | 11 | 11 | 1 |
| 599 | Construction trades, nec. | 7: Hispanic | 17,771 | 70 | 69 | 0 |
| 599 | Construction trades, nec. | 8: NonHispanic | 151,980 | 592 | 580 | 23 |
| 628 | Supervisors, production occs | 1: Total | 1,092,668 | 4,333 | 4,260 | 121 |
| 628 | Supervisors, production occs | 2: Male | 914,717 | 3,581 | 3,521 | 114 |
| 628 | Supervisors, production occs | 3: Female | 177,951 | 752 | 739 | 7 |
| 628 | Supervisors, production occs | 4: White | 972,493 | 3,811 | 3,752 | 101 |
| 628 | Supervisors, production occs | 5: Black | 94,927 | 425 | 414 | 16 |
| 628 | Supervisors, production occs | 6: Other | 25,248 | 97 | 94 | 4 |
| 628 | Supervisors, production occs | 7: Hispanic | 81,072 | 322 | 316 | 10 |
| 628 | Supervisors, production occs | 8: NonHispanic | 1,011,596 | 4,011 | 3,944 | 111 |
| 634 | Tool and die makers | 1: Total | 143,231 | 551 | 539 | 19 |
| 634 | Tool and die makers | 2: Male | 140,484 | 540 | 528 | 18 |
| 634 | Tool and die makers | 3: Female | 2,747 | 11 | 11 | 1 |
| 634 | Tool and die makers | 4: White | 138,039 | 528 | 518 | 18 |
| 634 | Tool and die makers | 5: Black | 2,693 | 13 | 12 | 1 |
| 634 | Tool and die makers | 6: Other | 2,499 | 10 | 9 | 0 |
| 634 | Tool and die makers | 7: Hispanic | 3,410 | 14 | 14 | 1 |
| 634 | Tool and die makers | 8: NonHispanic | 139,821 | 537 | 525 | 18 |
| 637 | Machinists | 1: Total | 522,513 | 2,049 | 2,003 | 56 |
| 637 | Machinists | 2: Male | 499,347 | 1,949 | 1,905 | 56 |
| 637 | Machinists | 3: Female | 23,166 | 100 | 98 | 0 |
| 637 | Machinists | 4: White | 479,828 | 1,856 | 1,818 | 50 |
| 637 | Machinists | 5: Black | 27,803 | 132 | 126 | 3 |
| 637 | Machinists | 6: Other | 14,883 | 61 | 59 | 3 |
| 637 | Machinists | 7: Hispanic | 34,779 | 135 | 133 | 2 |
| 637 | Machinists | 8: NonHispanic | 487,734 | 1,914 | 1,870 | 54 |
| 653 | Sheet metal workers | 1: Total | 143,964 | 549 | 543 | 18 |
| 653 | Sheet metal workers | 2: Male | 133,631 | 505 | 499 | 18 |
| 653 | Sheet metal workers | 3: Female | 10,332 | 44 | 44 | 0 |
| 653 | Sheet metal workers | 4: White | 129,086 | 487 | 481 | 13 |
| 653 | Sheet metal workers | 5: Black | 9,795 | 45 | 45 | 4 |
| 653 | Sheet metal workers | 6: Other | 5,082 | 17 | 17 | 1 |
| 653 | Sheet metal workers | 7: Hispanic | 9,645 | 39 | 39 | 0 |
| 653 | Sheet metal workers | 8: NonHispanic | 134,318 | 510 | 504 | 18 |
| 666 | Dressmakers | 1: Total | 123,787 | 499 | 490 | 17 |
| 666 | Dressmakers | 2: Male | 7,254 | 29 | 28 | 3 |
| 666 | Dressmakers | 3: Female | 116,533 | 470 | 462 | 14 |
| 666 | Dressmakers | 4: White | 98,967 | 392 | 384 | 14 |
| 666 | Dressmakers | 5: Black | 11,937 | 60 | 59 | 2 |
| 666 | Dressmakers | 6: Other | 12,883 | 47 | 47 | 1 |
| 666 | Dressmakers | 7: Hispanic | 16,560 | 66 | 65 | 2 |
| 666 | Dressmakers | 8: NonHispanic | 107,227 | 433 | 425 | 15 |
| 683 | Electrical/electronic equipment assemblers | 1: Total | 230,284 | 921 | 901 | 24 |
| 683 | Electrical/electronic equipment assemblers | 2: Male | 71,527 | 279 | 271 | 10 |
| 683 | Electrical/electronic equipment assemblers | 3: Female | 158,757 | 642 | 630 | 14 |
| 683 | Electrical/electronic equipment assemblers | 4: White | 177,005 | 688 | 678 | 13 |
| 683 | Electrical/electronic equipment assemblers | 5: Black | 27,767 | 130 | 126 | 6 |
| 683 | Electrical/electronic equipment assemblers | 6: Other | 25,511 | 103 | 97 | 5 |
| 683 | Electrical/electronic equipment assemblers | 7: Hispanic | 43,150 | 151 | 149 | 5 |
| 683 | Electrical/electronic equipment assemblers | 8: NonHispanic | 187,134 | 770 | 752 | 19 |
| 686 | Butchers and meat cutters | 1: Total | 213,405 | 844 | 829 | 25 |
| 686 | Butchers and meat cutters | 2: Male | 170,028 | 660 | 649 | 23 |
| 686 | Butchers and meat cutters | 3: Female | 43,376 | 184 | 180 | 2 |
| 686 | Butchers and meat cutters | 4: White | 169,041 | 652 | 640 | 16 |
| 686 | Butchers and meat cutters | 5: Black | 30,558 | 142 | 139 | 6 |
| 686 | Butchers and meat cutters | 6: Other | 13,805 | 50 | 50 | 3 |
| 686 | Butchers and meat cutters | 7: Hispanic | 24,788 | 101 | 100 | 2 |
| 686 | Butchers and meat cutters | 8: NonHispanic | 188,617 | 743 | 729 | 23 |
| 687 | Bakers | 1: Total | 128,093 | 499 | 489 | 16 |
| 687 | Bakers | 2: Male | 72,067 | 275 | 273 | 10 |
| 687 | Bakers | 3: Female | 56,026 | 224 | 216 | 6 |
| 687 | Bakers | 4: White | 104,895 | 408 | 403 | 12 |
| 687 | Bakers | 5: Black | 13,101 | 58 | 57 | 4 |
| 687 | Bakers | 6: Other | 10,096 | 33 | 29 | 0 |
| 687 | Bakers | 7: Hispanic | 17,322 | 63 | 63 | 1 |
| 687 | Bakers | 8: NonHispanic | 110,771 | 436 | 426 | 15 |
| 689 | Inspectors, testers, and graders | 1: Total | 137,766 | 542 | 534 | 21 |
| 689 | Inspectors, testers, and graders | 2: Male | 102,203 | 400 | 395 | 19 |
| 689 | Inspectors, testers, and graders | 3: Female | 35,562 | 142 | 139 | 2 |
| 689 | Inspectors, testers, and graders | 4: White | 116,868 | 453 | 446 | 17 |
| 689 | Inspectors, testers, and graders | 5: Black | 13,777 | 64 | 63 | 4 |
| 689 | Inspectors, testers, and graders | 6: Other | 7,121 | 25 | 25 | 0 |
| 689 | Inspectors, testers, and graders | 7: Hispanic | 7,815 | 33 | 33 | 2 |
| 689 | Inspectors, testers, and graders | 8: NonHispanic | 129,951 | 509 | 501 | 19 |
| 696 | Stationary engineers | 1: Total | 149,560 | 593 | 576 | 16 |
| 696 | Stationary engineers | 2: Male | 144,091 | 570 | 553 | 16 |
| 696 | Stationary engineers | 3: Female | 5,468 | 23 | 23 | 0 |
| 696 | Stationary engineers | 4: White | 131,075 | 508 | 493 | 15 |
| 696 | Stationary engineers | 5: Black | 13,386 | 65 | 64 | 1 |
| 696 | Stationary engineers | 6: Other | 5,098 | 20 | 19 | 0 |
| 696 | Stationary engineers | 7: Hispanic | 7,371 | 23 | 23 | 1 |
| 696 | Stationary engineers | 8: NonHispanic | 142,189 | 570 | 553 | 15 |
| 706 | Punching and stamping press machine operators | 1: Total | 126,355 | 503 | 494 | 19 |
| 706 | Punching and stamping press machine operators | 2: Male | 89,818 | 353 | 344 | 10 |
| 706 | Punching and stamping press machine operators | 3: Female | 36,536 | 150 | 150 | 9 |
| 706 | Punching and stamping press machine operators | 4: White | 112,659 | 435 | 432 | 17 |
| 706 | Punching and stamping press machine operators | 5: Black | 12,003 | 61 | 55 | 2 |
| 706 | Punching and stamping press machine operators | 6: Other | 1,693 | 7 | 7 | 0 |
| 706 | Punching and stamping press machine operators | 7: Hispanic | 12,198 | 50 | 50 | 1 |
| 706 | Punching and stamping press machine operators | 8: NonHispanic | 114,156 | 453 | 444 | 18 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 1: Total | 121,344 | 493 | 484 | 12 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 2: Male | 99,658 | 407 | 402 | 11 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 3: Female | 21,686 | 86 | 82 | 1 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 4: White | 105,584 | 419 | 413 | 9 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 5: Black | 13,419 | 64 | 62 | 3 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 6: Other | 2,341 | 10 | 9 | 0 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 7: Hispanic | 15,410 | 58 | 58 | 2 |
| 709 | Grinding/abrading/buffing/polishing machine operators | 8: NonHispanic | 105,934 | 435 | 426 | 10 |
| 719 | Molding and casting machine operators | 1: Total | 103,758 | 412 | 408 | 13 |
| 719 | Molding and casting machine operators | 2: Male | 76,325 | 300 | 297 | 10 |
| 719 | Molding and casting machine operators | 3: Female | 27,432 | 112 | 111 | 3 |
| 719 | Molding and casting machine operators | 4: White | 86,981 | 340 | 337 | 9 |
| 719 | Molding and casting machine operators | 5: Black | 14,078 | 61 | 61 | 4 |
| 719 | Molding and casting machine operators | 6: Other | 2,699 | 11 | 10 | 0 |
| 719 | Molding and casting machine operators | 7: Hispanic | 11,795 | 44 | 44 | 1 |
| 719 | Molding and casting machine operators | 8: NonHispanic | 91,963 | 368 | 364 | 12 |
| 734 | Printing press operators | 1: Total | 323,661 | 1,233 | 1,201 | 25 |
| 734 | Printing press operators | 2: Male | 274,255 | 1,026 | 998 | 19 |
| 734 | Printing press operators | 3: Female | 49,407 | 207 | 203 | 6 |
| 734 | Printing press operators | 4: White | 284,389 | 1,066 | 1,038 | 21 |
| 734 | Printing press operators | 5: Black | 26,343 | 122 | 118 | 3 |
| 734 | Printing press operators | 6: Other | 12,929 | 45 | 45 | 1 |
| 734 | Printing press operators | 7: Hispanic | 29,482 | 109 | 107 | 4 |
| 734 | Printing press operators | 8: NonHispanic | 294,180 | 1,124 | 1,094 | 21 |
| 744 | Textile sewing machine operators | 1: Total | 656,092 | 2,719 | 2,669 | 60 |
| 744 | Textile sewing machine operators | 2: Male | 65,258 | 257 | 249 | 2 |
| 744 | Textile sewing machine operators | 3: Female | 590,833 | 2,462 | 2,420 | 58 |
| 744 | Textile sewing machine operators | 4: White | 475,318 | 1,900 | 1,862 | 40 |
| 744 | Textile sewing machine operators | 5: Black | 125,913 | 600 | 593 | 14 |
| 744 | Textile sewing machine operators | 6: Other | 54,860 | 219 | 214 | 6 |
| 744 | Textile sewing machine operators | 7: Hispanic | 125,255 | 519 | 504 | 10 |
| 744 | Textile sewing machine operators | 8: NonHispanic | 530,836 | 2,200 | 2,165 | 50 |
| 747 | Pressing machine operators | 1: Total | 131,707 | 568 | 558 | 18 |
| 747 | Pressing machine operators | 2: Male | 48,482 | 201 | 199 | 8 |
| 747 | Pressing machine operators | 3: Female | 83,225 | 367 | 359 | 10 |
| 747 | Pressing machine operators | 4: White | 89,223 | 349 | 346 | 9 |
| 747 | Pressing machine operators | 5: Black | 35,105 | 189 | 185 | 9 |
| 747 | Pressing machine operators | 6: Other | 7,379 | 30 | 27 | 0 |
| 747 | Pressing machine operators | 7: Hispanic | 21,240 | 94 | 91 | 2 |
| 747 | Pressing machine operators | 8: NonHispanic | 110,467 | 474 | 467 | 16 |
| 748 | Laundering and dry cleaning machine operators | 1: Total | 174,095 | 734 | 711 | 22 |
| 748 | Laundering and dry cleaning machine operators | 2: Male | 70,523 | 281 | 269 | 9 |
| 748 | Laundering and dry cleaning machine operators | 3: Female | 103,572 | 453 | 442 | 13 |
| 748 | Laundering and dry cleaning machine operators | 4: White | 127,444 | 501 | 482 | 17 |
| 748 | Laundering and dry cleaning machine operators | 5: Black | 37,646 | 201 | 198 | 4 |
| 748 | Laundering and dry cleaning machine operators | 6: Other | 9,005 | 32 | 31 | 1 |
| 748 | Laundering and dry cleaning machine operators | 7: Hispanic | 26,935 | 108 | 105 | 2 |
| 748 | Laundering and dry cleaning machine operators | 8: NonHispanic | 147,160 | 626 | 606 | 20 |
| 754 | Packaging and filling machine operators | 1: Total | 381,818 | 1,556 | 1,525 | 39 |
| 754 | Packaging and filling machine operators | 2: Male | 143,451 | 551 | 539 | 19 |
| 754 | Packaging and filling machine operators | 3: Female | 238,367 | 1,005 | 986 | 20 |
| 754 | Packaging and filling machine operators | 4: White | 300,360 | 1,197 | 1,175 | 31 |
| 754 | Packaging and filling machine operators | 5: Black | 61,369 | 287 | 281 | 5 |
| 754 | Packaging and filling machine operators | 6: Other | 20,088 | 72 | 69 | 3 |
| 754 | Packaging and filling machine operators | 7: Hispanic | 81,690 | 326 | 321 | 8 |
| 754 | Packaging and filling machine operators | 8: NonHispanic | 300,127 | 1,230 | 1,204 | 31 |
| 756 | Mixing and blending machine operators | 1: Total | 123,593 | 491 | 481 | 11 |
| 756 | Mixing and blending machine operators | 2: Male | 108,557 | 430 | 422 | 11 |
| 756 | Mixing and blending machine operators | 3: Female | 15,036 | 61 | 59 | 0 |
| 756 | Mixing and blending machine operators | 4: White | 101,261 | 389 | 381 | 4 |
| 756 | Mixing and blending machine operators | 5: Black | 20,328 | 94 | 92 | 7 |
| 756 | Mixing and blending machine operators | 6: Other | 2,005 | 8 | 8 | 0 |
| 756 | Mixing and blending machine operators | 7: Hispanic | 15,189 | 64 | 63 | 0 |
| 756 | Mixing and blending machine operators | 8: NonHispanic | 108,403 | 427 | 418 | 11 |
| 759 | Painting and paint spraying machine operators | 1: Total | 184,736 | 734 | 715 | 29 |
| 759 | Painting and paint spraying machine operators | 2: Male | 157,929 | 621 | 605 | 28 |
| 759 | Painting and paint spraying machine operators | 3: Female | 26,807 | 113 | 110 | 1 |
| 759 | Painting and paint spraying machine operators | 4: White | 152,631 | 595 | 577 | 17 |
| 759 | Painting and paint spraying machine operators | 5: Black | 24,561 | 111 | 110 | 11 |
| 759 | Painting and paint spraying machine operators | 6: Other | 7,544 | 28 | 28 | 1 |
| 759 | Painting and paint spraying machine operators | 7: Hispanic | 31,543 | 126 | 123 | 4 |
| 759 | Painting and paint spraying machine operators | 8: NonHispanic | 153,193 | 608 | 592 | 25 |
| 769 | Slicing and cutting machine operators | 1: Total | 204,112 | 821 | 808 | 29 |
| 769 | Slicing and cutting machine operators | 2: Male | 144,479 | 570 | 560 | 21 |
| 769 | Slicing and cutting machine operators | 3: Female | 59,633 | 251 | 248 | 8 |
| 769 | Slicing and cutting machine operators | 4: White | 163,199 | 641 | 629 | 21 |
| 769 | Slicing and cutting machine operators | 5: Black | 31,649 | 146 | 145 | 7 |
| 769 | Slicing and cutting machine operators | 6: Other | 9,264 | 34 | 34 | 1 |
| 769 | Slicing and cutting machine operators | 7: Hispanic | 31,205 | 119 | 118 | 4 |
| 769 | Slicing and cutting machine operators | 8: NonHispanic | 172,907 | 702 | 690 | 25 |
| 777 | Miscellaneous machine operators | 1: Total | 912,207 | 3,648 | 3,566 | 92 |
| 777 | Miscellaneous machine operators | 2: Male | 629,255 | 2,457 | 2,406 | 71 |
| 777 | Miscellaneous machine operators | 3: Female | 282,952 | 1,191 | 1,160 | 21 |
| 777 | Miscellaneous machine operators | 4: White | 728,381 | 2,831 | 2,769 | 66 |
| 777 | Miscellaneous machine operators | 5: Black | 148,646 | 678 | 665 | 25 |
| 777 | Miscellaneous machine operators | 6: Other | 35,180 | 139 | 132 | 1 |
| 777 | Miscellaneous machine operators | 7: Hispanic | 117,840 | 466 | 460 | 13 |
| 777 | Miscellaneous machine operators | 8: NonHispanic | 794,367 | 3,182 | 3,106 | 79 |
| 779 | Machine operators, not specified | 1: Total | 528,820 | 2,122 | 2,073 | 72 |
| 779 | Machine operators, not specified | 2: Male | 362,688 | 1,427 | 1,392 | 55 |
| 779 | Machine operators, not specified | 3: Female | 166,133 | 695 | 681 | 17 |
| 779 | Machine operators, not specified | 4: White | 425,180 | 1,672 | 1,632 | 48 |
| 779 | Machine operators, not specified | 5: Black | 84,933 | 383 | 376 | 23 |
| 779 | Machine operators, not specified | 6: Other | 18,707 | 67 | 65 | 1 |
| 779 | Machine operators, not specified | 7: Hispanic | 55,980 | 217 | 214 | 10 |
| 779 | Machine operators, not specified | 8: NonHispanic | 472,840 | 1,905 | 1,859 | 62 |
| 783 | Welders and cutters | 1: Total | 597,287 | 2,341 | 2,298 | 59 |
| 783 | Welders and cutters | 2: Male | 570,138 | 2,229 | 2,187 | 57 |
| 783 | Welders and cutters | 3: Female | 27,148 | 112 | 111 | 2 |
| 783 | Welders and cutters | 4: White | 523,193 | 2,032 | 1,998 | 45 |
| 783 | Welders and cutters | 5: Black | 56,454 | 245 | 238 | 13 |
| 783 | Welders and cutters | 6: Other | 17,640 | 64 | 62 | 1 |
| 783 | Welders and cutters | 7: Hispanic | 65,552 | 256 | 255 | 10 |
| 783 | Welders and cutters | 8: NonHispanic | 531,734 | 2,085 | 2,043 | 49 |
| 785 | Assemblers | 1: Total | 1,026,023 | 4,153 | 4,055 | 84 |
| 785 | Assemblers | 2: Male | 553,313 | 2,189 | 2,136 | 48 |
| 785 | Assemblers | 3: Female | 472,709 | 1,964 | 1,919 | 36 |
| 785 | Assemblers | 4: White | 828,216 | 3,268 | 3,193 | 67 |
| 785 | Assemblers | 5: Black | 149,750 | 694 | 679 | 16 |
| 785 | Assemblers | 6: Other | 48,057 | 191 | 183 | 1 |
| 785 | Assemblers | 7: Hispanic | 119,226 | 488 | 478 | 10 |
| 785 | Assemblers | 8: NonHispanic | 906,797 | 3,665 | 3,577 | 74 |
| 796 | Production inspectors, checkers, and examiners | 1: Total | 571,665 | 2,306 | 2,265 | 64 |
| 796 | Production inspectors, checkers, and examiners | 2: Male | 259,447 | 1,011 | 1,000 | 36 |
| 796 | Production inspectors, checkers, and examiners | 3: Female | 312,218 | 1,295 | 1,265 | 28 |
| 796 | Production inspectors, checkers, and examiners | 4: White | 465,378 | 1,836 | 1,806 | 50 |
| 796 | Production inspectors, checkers, and examiners | 5: Black | 82,496 | 374 | 365 | 11 |
| 796 | Production inspectors, checkers, and examiners | 6: Other | 23,790 | 96 | 94 | 3 |
| 796 | Production inspectors, checkers, and examiners | 7: Hispanic | 55,311 | 220 | 215 | 3 |
| 796 | Production inspectors, checkers, and examiners | 8: NonHispanic | 516,354 | 2,086 | 2,050 | 61 |
| 799 | Graders and sorters, except agricultural | 1: Total | 125,068 | 529 | 516 | 10 |
| 799 | Graders and sorters, except agricultural | 2: Male | 51,576 | 209 | 203 | 6 |
| 799 | Graders and sorters, except agricultural | 3: Female | 73,492 | 320 | 313 | 4 |
| 799 | Graders and sorters, except agricultural | 4: White | 94,950 | 388 | 381 | 8 |
| 799 | Graders and sorters, except agricultural | 5: Black | 23,863 | 116 | 113 | 2 |
| 799 | Graders and sorters, except agricultural | 6: Other | 6,254 | 25 | 22 | 0 |
| 799 | Graders and sorters, except agricultural | 7: Hispanic | 29,707 | 125 | 124 | 3 |
| 799 | Graders and sorters, except agricultural | 8: NonHispanic | 95,361 | 404 | 392 | 7 |
| 804 | Truck drivers | 1: Total | 2,640,585 | 10,449 | 10,198 | 398 |
| 804 | Truck drivers | 2: Male | 2,528,749 | 9,987 | 9,744 | 390 |
| 804 | Truck drivers | 3: Female | 111,836 | 462 | 454 | 8 |
| 804 | Truck drivers | 4: White | 2,232,215 | 8,690 | 8,474 | 310 |
| 804 | Truck drivers | 5: Black | 356,271 | 1,567 | 1,538 | 82 |
| 804 | Truck drivers | 6: Other | 52,099 | 192 | 186 | 6 |
| 804 | Truck drivers | 7: Hispanic | 207,490 | 784 | 766 | 28 |
| 804 | Truck drivers | 8: NonHispanic | 2,433,095 | 9,665 | 9,432 | 370 |
| 806 | Driver-sales workers | 1: Total | 146,319 | 570 | 557 | 13 |
| 806 | Driver-sales workers | 2: Male | 131,897 | 509 | 498 | 13 |
| 806 | Driver-sales workers | 3: Female | 14,422 | 61 | 59 | 0 |
| 806 | Driver-sales workers | 4: White | 135,799 | 525 | 512 | 13 |
| 806 | Driver-sales workers | 5: Black | 7,422 | 33 | 33 | 0 |
| 806 | Driver-sales workers | 6: Other | 3,098 | 12 | 12 | 0 |
| 806 | Driver-sales workers | 7: Hispanic | 9,755 | 37 | 36 | 0 |
| 806 | Driver-sales workers | 8: NonHispanic | 136,564 | 533 | 521 | 13 |
| 808 | Bus drivers | 1: Total | 437,321 | 1,845 | 1,815 | 71 |
| 808 | Bus drivers | 2: Male | 223,457 | 939 | 919 | 52 |
| 808 | Bus drivers | 3: Female | 213,865 | 906 | 896 | 19 |
| 808 | Bus drivers | 4: White | 322,937 | 1,283 | 1,264 | 54 |
| 808 | Bus drivers | 5: Black | 103,439 | 521 | 510 | 15 |
| 808 | Bus drivers | 6: Other | 10,945 | 41 | 41 | 2 |
| 808 | Bus drivers | 7: Hispanic | 28,360 | 114 | 111 | 2 |
| 808 | Bus drivers | 8: NonHispanic | 408,961 | 1,731 | 1,704 | 69 |
| 809 | Taxicab drivers and chauffeurs | 1: Total | 198,640 | 777 | 749 | 47 |
| 809 | Taxicab drivers and chauffeurs | 2: Male | 173,020 | 669 | 644 | 46 |
| 809 | Taxicab drivers and chauffeurs | 3: Female | 25,620 | 108 | 105 | 1 |
| 809 | Taxicab drivers and chauffeurs | 4: White | 132,486 | 504 | 487 | 29 |
| 809 | Taxicab drivers and chauffeurs | 5: Black | 48,374 | 213 | 207 | 17 |
| 809 | Taxicab drivers and chauffeurs | 6: Other | 17,779 | 60 | 55 | 1 |
| 809 | Taxicab drivers and chauffeurs | 7: Hispanic | 21,138 | 77 | 75 | 1 |
| 809 | Taxicab drivers and chauffeurs | 8: NonHispanic | 177,502 | 700 | 674 | 46 |
| 844 | Operating engineers | 1: Total | 253,326 | 986 | 960 | 38 |
| 844 | Operating engineers | 2: Male | 247,849 | 968 | 942 | 38 |
| 844 | Operating engineers | 3: Female | 5,477 | 18 | 18 | 0 |
| 844 | Operating engineers | 4: White | 225,841 | 870 | 847 | 34 |
| 844 | Operating engineers | 5: Black | 20,881 | 89 | 87 | 4 |
| 844 | Operating engineers | 6: Other | 6,605 | 27 | 26 | 0 |
| 844 | Operating engineers | 7: Hispanic | 14,692 | 60 | 58 | 2 |
| 844 | Operating engineers | 8: NonHispanic | 238,634 | 926 | 902 | 36 |
| 856 | Industrial truck and tractor equipment operators | 1: Total | 450,241 | 1,816 | 1,785 | 58 |
| 856 | Industrial truck and tractor equipment operators | 2: Male | 424,058 | 1,704 | 1,673 | 58 |
| 856 | Industrial truck and tractor equipment operators | 3: Female | 26,183 | 112 | 112 | 0 |
| 856 | Industrial truck and tractor equipment operators | 4: White | 355,429 | 1,404 | 1,377 | 40 |
| 856 | Industrial truck and tractor equipment operators | 5: Black | 87,722 | 386 | 382 | 18 |
| 856 | Industrial truck and tractor equipment operators | 6: Other | 7,090 | 26 | 26 | 0 |
| 856 | Industrial truck and tractor equipment operators | 7: Hispanic | 50,177 | 200 | 195 | 5 |
| 856 | Industrial truck and tractor equipment operators | 8: NonHispanic | 400,064 | 1,616 | 1,590 | 53 |
| 859 | Miscellaneous material moving equipment operators | 1: Total | 117,109 | 456 | 446 | 9 |
| 859 | Miscellaneous material moving equipment operators | 2: Male | 98,087 | 377 | 369 | 8 |
| 859 | Miscellaneous material moving equipment operators | 3: Female | 19,023 | 79 | 77 | 1 |
| 859 | Miscellaneous material moving equipment operators | 4: White | 96,955 | 372 | 364 | 5 |
| 859 | Miscellaneous material moving equipment operators | 5: Black | 16,993 | 72 | 70 | 3 |
| 859 | Miscellaneous material moving equipment operators | 6: Other | 3,161 | 12 | 12 | 1 |
| 859 | Miscellaneous material moving equipment operators | 7: Hispanic | 9,740 | 38 | 38 | 1 |
| 859 | Miscellaneous material moving equipment operators | 8: NonHispanic | 107,369 | 418 | 408 | 8 |
| 869 | Construction laborers | 1: Total | 697,191 | 2,707 | 2,631 | 111 |
| 869 | Construction laborers | 2: Male | 676,315 | 2,625 | 2,554 | 108 |
| 869 | Construction laborers | 3: Female | 20,877 | 82 | 77 | 3 |
| 869 | Construction laborers | 4: White | 585,900 | 2,216 | 2,156 | 71 |
| 869 | Construction laborers | 5: Black | 97,045 | 440 | 428 | 36 |
| 869 | Construction laborers | 6: Other | 14,246 | 51 | 47 | 4 |
| 869 | Construction laborers | 7: Hispanic | 111,458 | 427 | 405 | 10 |
| 869 | Construction laborers | 8: NonHispanic | 585,733 | 2,280 | 2,226 | 101 |
| 877 | Stock handlers and baggers | 1: Total | 650,044 | 2,534 | 2,475 | 60 |
| 877 | Stock handlers and baggers | 2: Male | 449,704 | 1,724 | 1,682 | 48 |
| 877 | Stock handlers and baggers | 3: Female | 200,340 | 810 | 793 | 12 |
| 877 | Stock handlers and baggers | 4: White | 550,640 | 2,113 | 2,064 | 47 |
| 877 | Stock handlers and baggers | 5: Black | 77,266 | 345 | 337 | 13 |
| 877 | Stock handlers and baggers | 6: Other | 22,138 | 76 | 74 | 0 |
| 877 | Stock handlers and baggers | 7: Hispanic | 66,614 | 257 | 250 | 6 |
| 877 | Stock handlers and baggers | 8: NonHispanic | 583,430 | 2,277 | 2,225 | 54 |
| 883 | Freight, stock, and material handlers, nec. | 1: Total | 571,810 | 2,235 | 2,188 | 57 |
| 883 | Freight, stock, and material handlers, nec. | 2: Male | 508,323 | 1,967 | 1,927 | 54 |
| 883 | Freight, stock, and material handlers, nec. | 3: Female | 63,486 | 268 | 261 | 3 |
| 883 | Freight, stock, and material handlers, nec. | 4: White | 450,810 | 1,724 | 1,687 | 37 |
| 883 | Freight, stock, and material handlers, nec. | 5: Black | 105,087 | 455 | 446 | 19 |
| 883 | Freight, stock, and material handlers, nec. | 6: Other | 15,913 | 56 | 55 | 1 |
| 883 | Freight, stock, and material handlers, nec. | 7: Hispanic | 50,866 | 194 | 188 | 4 |
| 883 | Freight, stock, and material handlers, nec. | 8: NonHispanic | 520,944 | 2,041 | 2,000 | 53 |
| 885 | Garage and service station related occs | 1: Total | 158,092 | 611 | 600 | 21 |
| 885 | Garage and service station related occs | 2: Male | 147,764 | 571 | 561 | 20 |
| 885 | Garage and service station related occs | 3: Female | 10,328 | 40 | 39 | 1 |
| 885 | Garage and service station related occs | 4: White | 138,660 | 517 | 507 | 19 |
| 885 | Garage and service station related occs | 5: Black | 16,431 | 83 | 82 | 1 |
| 885 | Garage and service station related occs | 6: Other | 3,002 | 11 | 11 | 1 |
| 885 | Garage and service station related occs | 7: Hispanic | 18,420 | 65 | 65 | 6 |
| 885 | Garage and service station related occs | 8: NonHispanic | 139,673 | 546 | 535 | 15 |
| 887 | Vehicle washers and equipment cleaners | 1: Total | 167,519 | 676 | 656 | 25 |
| 887 | Vehicle washers and equipment cleaners | 2: Male | 147,892 | 590 | 572 | 19 |
| 887 | Vehicle washers and equipment cleaners | 3: Female | 19,627 | 86 | 84 | 6 |
| 887 | Vehicle washers and equipment cleaners | 4: White | 125,081 | 483 | 465 | 14 |
| 887 | Vehicle washers and equipment cleaners | 5: Black | 38,325 | 176 | 174 | 10 |
| 887 | Vehicle washers and equipment cleaners | 6: Other | 4,113 | 17 | 17 | 1 |
| 887 | Vehicle washers and equipment cleaners | 7: Hispanic | 23,866 | 90 | 90 | 0 |
| 887 | Vehicle washers and equipment cleaners | 8: NonHispanic | 143,653 | 586 | 566 | 25 |
| 888 | Hand packers and packagers | 1: Total | 245,670 | 1,009 | 995 | 31 |
| 888 | Hand packers and packagers | 2: Male | 87,741 | 349 | 343 | 20 |
| 888 | Hand packers and packagers | 3: Female | 157,929 | 660 | 652 | 11 |
| 888 | Hand packers and packagers | 4: White | 195,457 | 779 | 770 | 25 |
| 888 | Hand packers and packagers | 5: Black | 38,411 | 185 | 181 | 4 |
| 888 | Hand packers and packagers | 6: Other | 11,801 | 45 | 44 | 2 |
| 888 | Hand packers and packagers | 7: Hispanic | 36,892 | 147 | 146 | 6 |
| 888 | Hand packers and packagers | 8: NonHispanic | 208,778 | 862 | 849 | 25 |
| 889 | Laborers, except construction | 1: Total | 1,250,422 | 5,004 | 4,887 | 177 |
| 889 | Laborers, except construction | 2: Male | 981,803 | 3,858 | 3,766 | 156 |
| 889 | Laborers, except construction | 3: Female | 268,620 | 1,146 | 1,121 | 21 |
| 889 | Laborers, except construction | 4: White | 994,022 | 3,872 | 3,782 | 120 |
| 889 | Laborers, except construction | 5: Black | 216,372 | 984 | 962 | 54 |
| 889 | Laborers, except construction | 6: Other | 40,029 | 148 | 143 | 3 |
| 889 | Laborers, except construction | 7: Hispanic | 138,228 | 543 | 532 | 12 |
| 889 | Laborers, except construction | 8: NonHispanic | 1,112,194 | 4,461 | 4,355 | 165 |