| Table 1. Occupational Groups, US Census Occupational Codes, Sample Size and Population Estimates by 206 Occupations | ||||||
| Occupation 206 Classes | US Census Occupational Code (206 ONLY) | Group | Population Estimates | Sample Size | ||
| Administrators/officials, public administration | 5 | 1: Total | 434,916 | 1737 | ||
| Administrators/officials, public administration | 5 | 2: Male | 237,832 | 917 | ||
| Administrators/officials, public administration | 5 | 3: Female | 197,084 | 820 | ||
| Administrators/officials, public administration | 5 | 4: White | 377,045 | 1490 | ||
| Administrators/officials, public administration | 5 | 5: Black | 40,408 | 184 | ||
| Administrators/officials, public administration | 5 | 6: Other | 17,464 | 63 | ||
| Administrators/officials, public administration | 5 | 7: Hispanic | 19,368 | 75 | ||
| Administrators/officials, public administration | 5 | 8: NonHispanic | 415,549 | 1662 | ||
| Financial managers | 7 | 1: Total | 516,489 | 2050 | ||
| Financial managers | 7 | 2: Male | 290,553 | 1122 | ||
| Financial managers | 7 | 3: Female | 225,936 | 928 | ||
| Financial managers | 7 | 4: White | 470,184 | 1866 | ||
| Financial managers | 7 | 5: Black | 27,663 | 116 | ||
| Financial managers | 7 | 6: Other | 18,642 | 68 | ||
| Financial managers | 7 | 7: Hispanic | 23,398 | 93 | ||
| Financial managers | 7 | 8: NonHispanic | 493,091 | 1957 | ||
| Personnel and labor relations managers | 8 | 1: Total | 145,879 | 569 | ||
| Personnel and labor relations managers | 8 | 2: Male | 70,491 | 272 | ||
| Personnel and labor relations managers | 8 | 3: Female | 75,389 | 297 | ||
| Personnel and labor relations managers | 8 | 4: White | 133,270 | 514 | ||
| Personnel and labor relations managers | 8 | 5: Black | 9,918 | 45 | ||
| Personnel and labor relations managers | 8 | 6: Other | 2,691 | 10 | ||
| Personnel and labor relations managers | 8 | 7: Hispanic | 4,976 | 19 | ||
| Personnel and labor relations managers | 8 | 8: NonHispanic | 140,903 | 550 | ||
| Purchasing managers | 9 | 1: Total | 122,582 | 479 | ||
| Purchasing managers | 9 | 2: Male | 80,853 | 305 | ||
| Purchasing managers | 9 | 3: Female | 41,729 | 174 | ||
| Purchasing managers | 9 | 4: White | 108,587 | 424 | ||
| Purchasing managers | 9 | 5: Black | 10,684 | 41 | ||
| Purchasing managers | 9 | 6: Other | 3,311 | 14 | ||
| Purchasing managers | 9 | 7: Hispanic | 1,684 | 7 | ||
| Purchasing managers | 9 | 8: NonHispanic | 120,898 | 472 | ||
| Managers/marketing/advertising/PR | 13 | 1: Total | 637,557 | 2502 | ||
| Managers/marketing/advertising/PR | 13 | 2: Male | 435,903 | 1694 | ||
| Managers/marketing/advertising/PR | 13 | 3: Female | 201,654 | 808 | ||
| Managers/marketing/advertising/PR | 13 | 4: White | 598,994 | 2358 | ||
| Managers/marketing/advertising/PR | 13 | 5: Black | 24,634 | 95 | ||
| Managers/marketing/advertising/PR | 13 | 6: Other | 13,929 | 49 | ||
| Managers/marketing/advertising/PR | 13 | 7: Hispanic | 24,947 | 90 | ||
| Managers/marketing/advertising/PR | 13 | 8: NonHispanic | 612,611 | 2412 | ||
| Administrators, education and related fields | 14 | 1: Total | 532,733 | 2131 | ||
| Administrators, education and related fields | 14 | 2: Male | 250,290 | 980 | ||
| Administrators, education and related fields | 14 | 3: Female | 282,442 | 1151 | ||
| Administrators, education and related fields | 14 | 4: White | 463,963 | 1832 | ||
| Administrators, education and related fields | 14 | 5: Black | 58,624 | 261 | ||
| Administrators, education and related fields | 14 | 6: Other | 10,146 | 38 | ||
| Administrators, education and related fields | 14 | 7: Hispanic | 20,122 | 82 | ||
| Administrators, education and related fields | 14 | 8: NonHispanic | 512,610 | 2049 | ||
| Managers, medicine and health | 15 | 1: Total | 257,406 | 1009 | ||
| Managers, medicine and health | 15 | 2: Male | 80,541 | 309 | ||
| Managers, medicine and health | 15 | 3: Female | 176,865 | 700 | ||
| Managers, medicine and health | 15 | 4: White | 225,557 | 870 | ||
| Managers, medicine and health | 15 | 5: Black | 24,524 | 110 | ||
| Managers, medicine and health | 15 | 6: Other | 7,325 | 29 | ||
| Managers, medicine and health | 15 | 7: Hispanic | 11,755 | 43 | ||
| Managers, medicine and health | 15 | 8: NonHispanic | 245,651 | 966 | ||
| Managers, properties and real estate | 18 | 1: Total | 424,823 | 1655 | ||
| Managers, properties and real estate | 18 | 2: Male | 228,170 | 881 | ||
| Managers, properties and real estate | 18 | 3: Female | 196,652 | 774 | ||
| Managers, properties and real estate | 18 | 4: White | 384,861 | 1482 | ||
| Managers, properties and real estate | 18 | 5: Black | 29,675 | 135 | ||
| Managers, properties and real estate | 18 | 6: Other | 10,286 | 38 | ||
| Managers, properties and real estate | 18 | 7: Hispanic | 24,180 | 97 | ||
| Managers, properties and real estate | 18 | 8: NonHispanic | 400,643 | 1558 | ||
| Managers and administrators | 22 | 1: Total | 8,609,388 | 33553 | ||
| Managers and administrators | 22 | 2: Male | 5,760,962 | 22108 | ||
| Managers and administrators | 22 | 3: Female | 2,848,426 | 11445 | ||
| Managers and administrators | 22 | 4: White | 7,891,127 | 30560 | ||
| Managers and administrators | 22 | 5: Black | 437,418 | 1917 | ||
| Managers and administrators | 22 | 6: Other | 280,842 | 1076 | ||
| Managers and administrators | 22 | 7: Hispanic | 424,777 | 1622 | ||
| Managers and administrators | 22 | 8: NonHispanic | 8,184,610 | 31931 | ||
| Accountants and auditors | 23 | 1: Total | 1,449,425 | 5647 | ||
| Accountants and auditors | 23 | 2: Male | 700,754 | 2633 | ||
| Accountants and auditors | 23 | 3: Female | 748,671 | 3014 | ||
| Accountants and auditors | 23 | 4: White | 1,258,209 | 4865 | ||
| Accountants and auditors | 23 | 5: Black | 106,603 | 466 | ||
| Accountants and auditors | 23 | 6: Other | 84,613 | 316 | ||
| Accountants and auditors | 23 | 7: Hispanic | 69,340 | 269 | ||
| Accountants and auditors | 23 | 8: NonHispanic | 1,380,086 | 5378 | ||
| Other financial officers | 25 | 1: Total | 727,887 | 2856 | ||
| Other financial officers | 25 | 2: Male | 375,925 | 1436 | ||
| Other financial officers | 25 | 3: Female | 351,962 | 1420 | ||
| Other financial officers | 25 | 4: White | 655,800 | 2558 | ||
| Other financial officers | 25 | 5: Black | 44,236 | 191 | ||
| Other financial officers | 25 | 6: Other | 27,850 | 107 | ||
| Other financial officers | 25 | 7: Hispanic | 41,048 | 152 | ||
| Other financial officers | 25 | 8: NonHispanic | 686,838 | 2704 | ||
| Management analysts | 26 | 1: Total | 207,706 | 823 | ||
| Management analysts | 26 | 2: Male | 137,577 | 530 | ||
| Management analysts | 26 | 3: Female | 70,129 | 293 | ||
| Management analysts | 26 | 4: White | 190,942 | 749 | ||
| Management analysts | 26 | 5: Black | 9,673 | 48 | ||
| Management analysts | 26 | 6: Other | 7,090 | 26 | ||
| Management analysts | 26 | 7: Hispanic | 6,690 | 26 | ||
| Management analysts | 26 | 8: NonHispanic | 201,016 | 797 | ||
| Personnel/training/labor relations specialists | 27 | 1: Total | 429,136 | 1707 | ||
| Personnel/training/labor relations specialists | 27 | 2: Male | 184,738 | 714 | ||
| Personnel/training/labor relations specialists | 27 | 3: Female | 244,398 | 993 | ||
| Personnel/training/labor relations specialists | 27 | 4: White | 368,799 | 1448 | ||
| Personnel/training/labor relations specialists | 27 | 5: Black | 50,123 | 219 | ||
| Personnel/training/labor relations specialists | 27 | 6: Other | 10,214 | 40 | ||
| Personnel/training/labor relations specialists | 27 | 7: Hispanic | 23,144 | 89 | ||
| Personnel/training/labor relations specialists | 27 | 8: NonHispanic | 405,992 | 1618 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 1: Total | 191,990 | 736 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 2: Male | 84,773 | 323 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 3: Female | 107,217 | 413 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 4: White | 182,261 | 698 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 5: Black | 5,199 | 24 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 6: Other | 4,530 | 14 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 7: Hispanic | 11,166 | 42 | ||
| Buyers, wholesale/retail trade except farm products | 29 | 8: NonHispanic | 180,824 | 694 | ||
| Purchasing agents and buyers | 33 | 1: Total | 260,021 | 1007 | ||
| Purchasing agents and buyers | 33 | 2: Male | 135,805 | 523 | ||
| Purchasing agents and buyers | 33 | 3: Female | 124,216 | 484 | ||
| Purchasing agents and buyers | 33 | 4: White | 240,255 | 920 | ||
| Purchasing agents and buyers | 33 | 5: Black | 16,511 | 73 | ||
| Purchasing agents and buyers | 33 | 6: Other | 3,255 | 14 | ||
| Purchasing agents and buyers | 33 | 7: Hispanic | 11,359 | 41 | ||
| Purchasing agents and buyers | 33 | 8: NonHispanic | 248,662 | 966 | ||
| Inspectors/compliance officers, except construction | 36 | 1: Total | 183,364 | 713 | ||
| Inspectors/compliance officers, except construction | 36 | 2: Male | 126,705 | 487 | ||
| Inspectors/compliance officers, except construction | 36 | 3: Female | 56,659 | 226 | ||
| Inspectors/compliance officers, except construction | 36 | 4: White | 155,299 | 595 | ||
| Inspectors/compliance officers, except construction | 36 | 5: Black | 22,404 | 99 | ||
| Inspectors/compliance officers, except construction | 36 | 6: Other | 5,661 | 19 | ||
| Inspectors/compliance officers, except construction | 36 | 7: Hispanic | 12,274 | 45 | ||
| Inspectors/compliance officers, except construction | 36 | 8: NonHispanic | 171,090 | 668 | ||
| Management related occs | 37 | 1: Total | 371,203 | 1476 | ||
| Management related occs | 37 | 2: Male | 57,908 | 216 | ||
| Management related occs | 37 | 3: Female | 313,295 | 1260 | ||
| Management related occs | 37 | 4: White | 319,117 | 1244 | ||
| Management related occs | 37 | 5: Black | 36,745 | 171 | ||
| Management related occs | 37 | 6: Other | 15,341 | 61 | ||
| Management related occs | 37 | 7: Hispanic | 21,261 | 84 | ||
| Management related occs | 37 | 8: NonHispanic | 349,942 | 1392 | ||
| Architects | 43 | 1: Total | 176,710 | 680 | ||
| Architects | 43 | 2: Male | 153,567 | 587 | ||
| Architects | 43 | 3: Female | 23,143 | 93 | ||
| Architects | 43 | 4: White | 162,108 | 623 | ||
| Architects | 43 | 5: Black | 6,366 | 24 | ||
| Architects | 43 | 6: Other | 8,236 | 33 | ||
| Architects | 43 | 7: Hispanic | 12,774 | 50 | ||
| Architects | 43 | 8: NonHispanic | 163,936 | 630 | ||
| Aerospace | 44 | 1: Total | 115,384 | 452 | ||
| Aerospace | 44 | 2: Male | 108,773 | 425 | ||
| Aerospace | 44 | 3: Female | 6,612 | 27 | ||
| Aerospace | 44 | 4: White | 104,395 | 408 | ||
| Aerospace | 44 | 5: Black | 2,570 | 11 | ||
| Aerospace | 44 | 6: Other | 8,418 | 33 | ||
| Aerospace | 44 | 7: Hispanic | 3,735 | 13 | ||
| Aerospace | 44 | 8: NonHispanic | 111,649 | 439 | ||
| Civil | 53 | 1: Total | 264,614 | 1015 | ||
| Civil | 53 | 2: Male | 248,854 | 952 | ||
| Civil | 53 | 3: Female | 15,759 | 63 | ||
| Civil | 53 | 4: White | 233,004 | 897 | ||
| Civil | 53 | 5: Black | 11,165 | 43 | ||
| Civil | 53 | 6: Other | 20,444 | 75 | ||
| Civil | 53 | 7: Hispanic | 13,090 | 48 | ||
| Civil | 53 | 8: NonHispanic | 251,524 | 967 | ||
| Electrical and electronic | 55 | 1: Total | 592,715 | 2274 | ||
| Electrical and electronic | 55 | 2: Male | 543,197 | 2075 | ||
| Electrical and electronic | 55 | 3: Female | 49,518 | 199 | ||
| Electrical and electronic | 55 | 4: White | 518,640 | 1989 | ||
| Electrical and electronic | 55 | 5: Black | 28,944 | 109 | ||
| Electrical and electronic | 55 | 6: Other | 45,131 | 176 | ||
| Electrical and electronic | 55 | 7: Hispanic | 20,764 | 82 | ||
| Electrical and electronic | 55 | 8: NonHispanic | 571,951 | 2192 | ||
| Industrial | 56 | 1: Total | 234,775 | 920 | ||
| Industrial | 56 | 2: Male | 200,847 | 781 | ||
| Industrial | 56 | 3: Female | 33,928 | 139 | ||
| Industrial | 56 | 4: White | 210,888 | 824 | ||
| Industrial | 56 | 5: Black | 11,813 | 52 | ||
| Industrial | 56 | 6: Other | 12,074 | 44 | ||
| Industrial | 56 | 7: Hispanic | 7,319 | 26 | ||
| Industrial | 56 | 8: NonHispanic | 227,456 | 894 | ||
| Mechanical | 57 | 1: Total | 330,773 | 1255 | ||
| Mechanical | 57 | 2: Male | 315,885 | 1196 | ||
| Mechanical | 57 | 3: Female | 14,888 | 59 | ||
| Mechanical | 57 | 4: White | 293,040 | 1121 | ||
| Mechanical | 57 | 5: Black | 15,201 | 51 | ||
| Mechanical | 57 | 6: Other | 22,532 | 83 | ||
| Mechanical | 57 | 7: Hispanic | 9,655 | 35 | ||
| Mechanical | 57 | 8: NonHispanic | 321,118 | 1220 | ||
| Engineers | 59 | 1: Total | 285,379 | 1081 | ||
| Engineers | 59 | 2: Male | 262,140 | 987 | ||
| Engineers | 59 | 3: Female | 23,239 | 94 | ||
| Engineers | 59 | 4: White | 254,567 | 956 | ||
| Engineers | 59 | 5: Black | 9,368 | 38 | ||
| Engineers | 59 | 6: Other | 21,444 | 87 | ||
| Engineers | 59 | 7: Hispanic | 10,556 | 41 | ||
| Engineers | 59 | 8: NonHispanic | 274,823 | 1040 | ||
| Computer systems analysts and scientists | 64 | 1: Total | 564,743 | 2168 | ||
| Computer systems analysts and scientists | 64 | 2: Male | 393,336 | 1493 | ||
| Computer systems analysts and scientists | 64 | 3: Female | 171,407 | 675 | ||
| Computer systems analysts and scientists | 64 | 4: White | 484,823 | 1852 | ||
| Computer systems analysts and scientists | 64 | 5: Black | 39,421 | 161 | ||
| Computer systems analysts and scientists | 64 | 6: Other | 40,500 | 155 | ||
| Computer systems analysts and scientists | 64 | 7: Hispanic | 17,252 | 64 | ||
| Computer systems analysts and scientists | 64 | 8: NonHispanic | 547,491 | 2104 | ||
| Operations/systems researchers and analysts | 65 | 1: Total | 279,844 | 1082 | ||
| Operations/systems researchers and analysts | 65 | 2: Male | 163,791 | 610 | ||
| Operations/systems researchers and analysts | 65 | 3: Female | 116,053 | 472 | ||
| Operations/systems researchers and analysts | 65 | 4: White | 241,287 | 930 | ||
| Operations/systems researchers and analysts | 65 | 5: Black | 25,216 | 99 | ||
| Operations/systems researchers and analysts | 65 | 6: Other | 13,341 | 53 | ||
| Operations/systems researchers and analysts | 65 | 7: Hispanic | 11,394 | 46 | ||
| Operations/systems researchers and analysts | 65 | 8: NonHispanic | 268,451 | 1036 | ||
| Chemists, except biochemists | 73 | 1: Total | 124,271 | 476 | ||
| Chemists, except biochemists | 73 | 2: Male | 95,013 | 360 | ||
| Chemists, except biochemists | 73 | 3: Female | 29,258 | 116 | ||
| Chemists, except biochemists | 73 | 4: White | 102,713 | 392 | ||
| Chemists, except biochemists | 73 | 5: Black | 7,721 | 31 | ||
| Chemists, except biochemists | 73 | 6: Other | 13,837 | 53 | ||
| Chemists, except biochemists | 73 | 7: Hispanic | 4,617 | 18 | ||
| Chemists, except biochemists | 73 | 8: NonHispanic | 119,654 | 458 | ||
| Physicians | 84 | 1: Total | 564,555 | 2193 | ||
| Physicians | 84 | 2: Male | 444,900 | 1713 | ||
| Physicians | 84 | 3: Female | 119,655 | 480 | ||
| Physicians | 84 | 4: White | 478,408 | 1863 | ||
| Physicians | 84 | 5: Black | 24,627 | 97 | ||
| Physicians | 84 | 6: Other | 61,520 | 233 | ||
| Physicians | 84 | 7: Hispanic | 34,042 | 124 | ||
| Physicians | 84 | 8: NonHispanic | 530,513 | 2069 | ||
| Dentists | 85 | 1: Total | 139,120 | 557 | ||
| Dentists | 85 | 2: Male | 121,213 | 484 | ||
| Dentists | 85 | 3: Female | 17,908 | 73 | ||
| Dentists | 85 | 4: White | 126,000 | 505 | ||
| Dentists | 85 | 5: Black | 4,094 | 16 | ||
| Dentists | 85 | 6: Other | 9,026 | 36 | ||
| Dentists | 85 | 7: Hispanic | 3,889 | 15 | ||
| Dentists | 85 | 8: NonHispanic | 135,231 | 542 | ||
| Registered nurses | 95 | 1: Total | 1,799,165 | 7300 | ||
| Registered nurses | 95 | 2: Male | 92,522 | 362 | ||
| Registered nurses | 95 | 3: Female | 1,706,643 | 6938 | ||
| Registered nurses | 95 | 4: White | 1,537,400 | 6131 | ||
| Registered nurses | 95 | 5: Black | 172,626 | 815 | ||
| Registered nurses | 95 | 6: Other | 89,139 | 354 | ||
| Registered nurses | 95 | 7: Hispanic | 57,372 | 229 | ||
| Registered nurses | 95 | 8: NonHispanic | 1,741,793 | 7071 | ||
| Pharmacists | 96 | 1: Total | 164,795 | 640 | ||
| Pharmacists | 96 | 2: Male | 96,449 | 374 | ||
| Pharmacists | 96 | 3: Female | 68,346 | 266 | ||
| Pharmacists | 96 | 4: White | 148,253 | 578 | ||
| Pharmacists | 96 | 5: Black | 4,373 | 18 | ||
| Pharmacists | 96 | 6: Other | 12,169 | 44 | ||
| Pharmacists | 96 | 7: Hispanic | 5,287 | 21 | ||
| Pharmacists | 96 | 8: NonHispanic | 159,508 | 619 | ||
| Dietitians | 97 | 1: Total | 105,770 | 426 | ||
| Dietitians | 97 | 2: Male | 13,150 | 50 | ||
| Dietitians | 97 | 3: Female | 92,621 | 376 | ||
| Dietitians | 97 | 4: White | 76,547 | 293 | ||
| Dietitians | 97 | 5: Black | 22,571 | 109 | ||
| Dietitians | 97 | 6: Other | 6,653 | 24 | ||
| Dietitians | 97 | 7: Hispanic | 7,683 | 24 | ||
| Dietitians | 97 | 8: NonHispanic | 98,087 | 402 | ||
| Postsecondary teachers, subject unspecified | 154 | 1: Total | 225,123 | 887 | ||
| Postsecondary teachers, subject unspecified | 154 | 2: Male | 128,234 | 493 | ||
| Postsecondary teachers, subject unspecified | 154 | 3: Female | 96,889 | 394 | ||
| Postsecondary teachers, subject unspecified | 154 | 4: White | 177,407 | 699 | ||
| Postsecondary teachers, subject unspecified | 154 | 5: Black | 15,509 | 66 | ||
| Postsecondary teachers, subject unspecified | 154 | 6: Other | 32,207 | 122 | ||
| Postsecondary teachers, subject unspecified | 154 | 7: Hispanic | 8,057 | 24 | ||
| Postsecondary teachers, subject unspecified | 154 | 8: NonHispanic | 217,066 | 863 | ||
| Teachers, pre-K and K | 155 | 1: Total | 408,944 | 1650 | ||
| Teachers, pre-K and K | 155 | 2: Male | 6,290 | 23 | ||
| Teachers, pre-K and K | 155 | 3: Female | 402,653 | 1627 | ||
| Teachers, pre-K and K | 155 | 4: White | 344,094 | 1348 | ||
| Teachers, pre-K and K | 155 | 5: Black | 52,578 | 257 | ||
| Teachers, pre-K and K | 155 | 6: Other | 12,272 | 45 | ||
| Teachers, pre-K and K | 155 | 7: Hispanic | 25,558 | 99 | ||
| Teachers, pre-K and K | 155 | 8: NonHispanic | 383,386 | 1551 | ||
| Teachers, elementary school | 156 | 1: Total | 1,524,602 | 6236 | ||
| Teachers, elementary school | 156 | 2: Male | 240,550 | 954 | ||
| Teachers, elementary school | 156 | 3: Female | 1,284,053 | 5282 | ||
| Teachers, elementary school | 156 | 4: White | 1,361,322 | 5452 | ||
| Teachers, elementary school | 156 | 5: Black | 140,683 | 698 | ||
| Teachers, elementary school | 156 | 6: Other | 22,597 | 86 | ||
| Teachers, elementary school | 156 | 7: Hispanic | 63,217 | 248 | ||
| Teachers, elementary school | 156 | 8: NonHispanic | 1,461,386 | 5988 | ||
| Teachers, secondary school | 157 | 1: Total | 1,207,921 | 4792 | ||
| Teachers, secondary school | 157 | 2: Male | 528,711 | 2040 | ||
| Teachers, secondary school | 157 | 3: Female | 679,210 | 2752 | ||
| Teachers, secondary school | 157 | 4: White | 1,096,317 | 4275 | ||
| Teachers, secondary school | 157 | 5: Black | 93,839 | 455 | ||
| Teachers, secondary school | 157 | 6: Other | 17,764 | 62 | ||
| Teachers, secondary school | 157 | 7: Hispanic | 46,830 | 173 | ||
| Teachers, secondary school | 157 | 8: NonHispanic | 1,161,090 | 4619 | ||
| Teachers, special education | 158 | 1: Total | 252,519 | 1017 | ||
| Teachers, special education | 158 | 2: Male | 42,514 | 160 | ||
| Teachers, special education | 158 | 3: Female | 210,005 | 857 | ||
| Teachers, special education | 158 | 4: White | 219,377 | 878 | ||
| Teachers, special education | 158 | 5: Black | 29,254 | 125 | ||
| Teachers, special education | 158 | 6: Other | 3,887 | 14 | ||
| Teachers, special education | 158 | 7: Hispanic | 9,380 | 36 | ||
| Teachers, special education | 158 | 8: NonHispanic | 243,139 | 981 | ||
| Teachers | 159 | 1: Total | 545,219 | 2162 | ||
| Teachers | 159 | 2: Male | 207,073 | 794 | ||
| Teachers | 159 | 3: Female | 338,146 | 1368 | ||
| Teachers | 159 | 4: White | 489,427 | 1919 | ||
| Teachers | 159 | 5: Black | 39,796 | 182 | ||
| Teachers | 159 | 6: Other | 15,996 | 61 | ||
| Teachers | 159 | 7: Hispanic | 22,091 | 89 | ||
| Teachers | 159 | 8: NonHispanic | 523,129 | 2073 | ||
| Counselors, Educational and Vocational | 163 | 1: Total | 262,756 | 1026 | ||
| Counselors, Educational and Vocational | 163 | 2: Male | 92,738 | 349 | ||
| Counselors, Educational and Vocational | 163 | 3: Female | 170,018 | 677 | ||
| Counselors, Educational and Vocational | 163 | 4: White | 211,544 | 818 | ||
| Counselors, Educational and Vocational | 163 | 5: Black | 40,618 | 175 | ||
| Counselors, Educational and Vocational | 163 | 6: Other | 10,594 | 33 | ||
| Counselors, Educational and Vocational | 163 | 7: Hispanic | 11,557 | 48 | ||
| Counselors, Educational and Vocational | 163 | 8: NonHispanic | 251,198 | 978 | ||
| Librarians | 164 | 1: Total | 185,788 | 737 | ||
| Librarians | 164 | 2: Male | 27,565 | 104 | ||
| Librarians | 164 | 3: Female | 158,222 | 633 | ||
| Librarians | 164 | 4: White | 167,087 | 659 | ||
| Librarians | 164 | 5: Black | 10,377 | 50 | ||
| Librarians | 164 | 6: Other | 8,323 | 28 | ||
| Librarians | 164 | 7: Hispanic | 6,860 | 24 | ||
| Librarians | 164 | 8: NonHispanic | 178,927 | 713 | ||
| Economists | 166 | 1: Total | 166,170 | 635 | ||
| Economists | 166 | 2: Male | 97,324 | 364 | ||
| Economists | 166 | 3: Female | 68,846 | 271 | ||
| Economists | 166 | 4: White | 150,931 | 574 | ||
| Economists | 166 | 5: Black | 8,685 | 38 | ||
| Economists | 166 | 6: Other | 6,553 | 23 | ||
| Economists | 166 | 7: Hispanic | 7,949 | 30 | ||
| Economists | 166 | 8: NonHispanic | 158,220 | 605 | ||
| Psychologists | 167 | 1: Total | 190,497 | 754 | ||
| Psychologists | 167 | 2: Male | 82,506 | 320 | ||
| Psychologists | 167 | 3: Female | 107,991 | 434 | ||
| Psychologists | 167 | 4: White | 174,659 | 686 | ||
| Psychologists | 167 | 5: Black | 12,367 | 56 | ||
| Psychologists | 167 | 6: Other | 3,472 | 12 | ||
| Psychologists | 167 | 7: Hispanic | 9,612 | 38 | ||
| Psychologists | 167 | 8: NonHispanic | 180,885 | 716 | ||
| Social workers | 174 | 1: Total | 569,851 | 2351 | ||
| Social workers | 174 | 2: Male | 176,079 | 695 | ||
| Social workers | 174 | 3: Female | 393,771 | 1656 | ||
| Social workers | 174 | 4: White | 441,564 | 1765 | ||
| Social workers | 174 | 5: Black | 114,755 | 532 | ||
| Social workers | 174 | 6: Other | 13,531 | 54 | ||
| Social workers | 174 | 7: Hispanic | 35,804 | 147 | ||
| Social workers | 174 | 8: NonHispanic | 534,047 | 2204 | ||
| Clergy | 176 | 1: Total | 330,405 | 1345 | ||
| Clergy | 176 | 2: Male | 303,305 | 1223 | ||
| Clergy | 176 | 3: Female | 27,099 | 122 | ||
| Clergy | 176 | 4: White | 286,145 | 1157 | ||
| Clergy | 176 | 5: Black | 35,690 | 155 | ||
| Clergy | 176 | 6: Other | 8,570 | 33 | ||
| Clergy | 176 | 7: Hispanic | 10,323 | 37 | ||
| Clergy | 176 | 8: NonHispanic | 320,081 | 1308 | ||
| Lawyers | 178 | 1: Total | 747,311 | 2854 | ||
| Lawyers | 178 | 2: Male | 568,786 | 2147 | ||
| Lawyers | 178 | 3: Female | 178,525 | 707 | ||
| Lawyers | 178 | 4: White | 700,998 | 2673 | ||
| Lawyers | 178 | 5: Black | 32,972 | 131 | ||
| Lawyers | 178 | 6: Other | 13,340 | 50 | ||
| Lawyers | 178 | 7: Hispanic | 24,022 | 92 | ||
| Lawyers | 178 | 8: NonHispanic | 723,289 | 2762 | ||
| Designers | 185 | 1: Total | 526,843 | 2037 | ||
| Designers | 185 | 2: Male | 225,588 | 853 | ||
| Designers | 185 | 3: Female | 301,255 | 1184 | ||
| Designers | 185 | 4: White | 485,631 | 1874 | ||
| Designers | 185 | 5: Black | 18,362 | 78 | ||
| Designers | 185 | 6: Other | 22,851 | 85 | ||
| Designers | 185 | 7: Hispanic | 31,508 | 123 | ||
| Designers | 185 | 8: NonHispanic | 495,335 | 1914 | ||
| Musicians and composers | 186 | 1: Total | 171,362 | 647 | ||
| Musicians and composers | 186 | 2: Male | 106,537 | 394 | ||
| Musicians and composers | 186 | 3: Female | 64,825 | 253 | ||
| Musicians and composers | 186 | 4: White | 149,422 | 561 | ||
| Musicians and composers | 186 | 5: Black | 16,035 | 65 | ||
| Musicians and composers | 186 | 6: Other | 5,906 | 21 | ||
| Musicians and composers | 186 | 7: Hispanic | 10,895 | 43 | ||
| Musicians and composers | 186 | 8: NonHispanic | 160,467 | 604 | ||
| Actors and directors | 187 | 1: Total | 103,368 | 397 | ||
| Actors and directors | 187 | 2: Male | 64,217 | 242 | ||
| Actors and directors | 187 | 3: Female | 39,152 | 155 | ||
| Actors and directors | 187 | 4: White | 94,457 | 367 | ||
| Actors and directors | 187 | 5: Black | 6,067 | 18 | ||
| Actors and directors | 187 | 6: Other | 2,844 | 12 | ||
| Actors and directors | 187 | 7: Hispanic | 5,345 | 22 | ||
| Actors and directors | 187 | 8: NonHispanic | 98,023 | 375 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 1: Total | 243,308 | 928 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 2: Male | 120,720 | 451 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 3: Female | 122,587 | 477 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 4: White | 223,410 | 853 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 5: Black | 9,904 | 39 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 6: Other | 9,994 | 36 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 7: Hispanic | 10,852 | 40 | ||
| Painters/sculptors/craft-artists/artist printmakers | 188 | 8: NonHispanic | 232,456 | 888 | ||
| Photographers | 189 | 1: Total | 134,989 | 503 | ||
| Photographers | 189 | 2: Male | 101,240 | 364 | ||
| Photographers | 189 | 3: Female | 33,749 | 139 | ||
| Photographers | 189 | 4: White | 125,085 | 462 | ||
| Photographers | 189 | 5: Black | 6,256 | 28 | ||
| Photographers | 189 | 6: Other | 3,648 | 13 | ||
| Photographers | 189 | 7: Hispanic | 4,926 | 18 | ||
| Photographers | 189 | 8: NonHispanic | 130,063 | 485 | ||
| Editors and reporters | 195 | 1: Total | 247,967 | 933 | ||
| Editors and reporters | 195 | 2: Male | 130,383 | 478 | ||
| Editors and reporters | 195 | 3: Female | 117,584 | 455 | ||
| Editors and reporters | 195 | 4: White | 228,960 | 865 | ||
| Editors and reporters | 195 | 5: Black | 12,182 | 45 | ||
| Editors and reporters | 195 | 6: Other | 6,825 | 23 | ||
| Editors and reporters | 195 | 7: Hispanic | 6,974 | 24 | ||
| Editors and reporters | 195 | 8: NonHispanic | 240,992 | 909 | ||
| Public relations specialists | 197 | 1: Total | 168,127 | 649 | ||
| Public relations specialists | 197 | 2: Male | 72,038 | 271 | ||
| Public relations specialists | 197 | 3: Female | 96,088 | 378 | ||
| Public relations specialists | 197 | 4: White | 152,746 | 587 | ||
| Public relations specialists | 197 | 5: Black | 11,635 | 48 | ||
| Public relations specialists | 197 | 6: Other | 3,746 | 14 | ||
| Public relations specialists | 197 | 7: Hispanic | 8,036 | 31 | ||
| Public relations specialists | 197 | 8: NonHispanic | 160,091 | 618 | ||
| Clinical lab technologists and technicians | 203 | 1: Total | 328,584 | 1326 | ||
| Clinical lab technologists and technicians | 203 | 2: Male | 78,792 | 293 | ||
| Clinical lab technologists and technicians | 203 | 3: Female | 249,791 | 1033 | ||
| Clinical lab technologists and technicians | 203 | 4: White | 252,780 | 996 | ||
| Clinical lab technologists and technicians | 203 | 5: Black | 50,404 | 237 | ||
| Clinical lab technologists and technicians | 203 | 6: Other | 25,400 | 93 | ||
| Clinical lab technologists and technicians | 203 | 7: Hispanic | 24,898 | 93 | ||
| Clinical lab technologists and technicians | 203 | 8: NonHispanic | 303,685 | 1233 | ||
| Radiologic technicians | 206 | 1: Total | 137,287 | 543 | ||
| Radiologic technicians | 206 | 2: Male | 41,478 | 153 | ||
| Radiologic technicians | 206 | 3: Female | 95,809 | 390 | ||
| Radiologic technicians | 206 | 4: White | 121,044 | 478 | ||
| Radiologic technicians | 206 | 5: Black | 11,089 | 48 | ||
| Radiologic technicians | 206 | 6: Other | 5,154 | 17 | ||
| Radiologic technicians | 206 | 7: Hispanic | 11,059 | 43 | ||
| Radiologic technicians | 206 | 8: NonHispanic | 126,228 | 500 | ||
| Licensed practical nurses | 207 | 1: Total | 433,437 | 1851 | ||
| Licensed practical nurses | 207 | 2: Male | 18,738 | 66 | ||
| Licensed practical nurses | 207 | 3: Female | 414,700 | 1785 | ||
| Licensed practical nurses | 207 | 4: White | 340,291 | 1375 | ||
| Licensed practical nurses | 207 | 5: Black | 80,115 | 429 | ||
| Licensed practical nurses | 207 | 6: Other | 13,031 | 47 | ||
| Licensed practical nurses | 207 | 7: Hispanic | 22,621 | 92 | ||
| Licensed practical nurses | 207 | 8: NonHispanic | 410,816 | 1759 | ||
| Health technologists and technicians | 208 | 1: Total | 330,504 | 1314 | ||
| Health technologists and technicians | 208 | 2: Male | 101,316 | 382 | ||
| Health technologists and technicians | 208 | 3: Female | 229,188 | 932 | ||
| Health technologists and technicians | 208 | 4: White | 266,221 | 1040 | ||
| Health technologists and technicians | 208 | 5: Black | 45,241 | 205 | ||
| Health technologists and technicians | 208 | 6: Other | 19,042 | 69 | ||
| Health technologists and technicians | 208 | 7: Hispanic | 24,937 | 94 | ||
| Health technologists and technicians | 208 | 8: NonHispanic | 305,567 | 1220 | ||
| Electrical and electronic technicians | 213 | 1: Total | 378,968 | 1447 | ||
| Electrical and electronic technicians | 213 | 2: Male | 320,198 | 1204 | ||
| Electrical and electronic technicians | 213 | 3: Female | 58,770 | 243 | ||
| Electrical and electronic technicians | 213 | 4: White | 318,155 | 1211 | ||
| Electrical and electronic technicians | 213 | 5: Black | 31,406 | 125 | ||
| Electrical and electronic technicians | 213 | 6: Other | 29,407 | 111 | ||
| Electrical and electronic technicians | 213 | 7: Hispanic | 20,080 | 79 | ||
| Electrical and electronic technicians | 213 | 8: NonHispanic | 358,888 | 1368 | ||
| Engineering technicians | 216 | 1: Total | 261,701 | 1023 | ||
| Engineering technicians | 216 | 2: Male | 178,622 | 681 | ||
| Engineering technicians | 216 | 3: Female | 83,079 | 342 | ||
| Engineering technicians | 216 | 4: White | 220,821 | 855 | ||
| Engineering technicians | 216 | 5: Black | 25,470 | 111 | ||
| Engineering technicians | 216 | 6: Other | 15,410 | 57 | ||
| Engineering technicians | 216 | 7: Hispanic | 10,812 | 43 | ||
| Engineering technicians | 216 | 8: NonHispanic | 250,889 | 980 | ||
| Drafting occs | 217 | 1: Total | 265,437 | 992 | ||
| Drafting occs | 217 | 2: Male | 213,073 | 794 | ||
| Drafting occs | 217 | 3: Female | 52,364 | 198 | ||
| Drafting occs | 217 | 4: White | 243,043 | 902 | ||
| Drafting occs | 217 | 5: Black | 9,474 | 40 | ||
| Drafting occs | 217 | 6: Other | 12,920 | 50 | ||
| Drafting occs | 217 | 7: Hispanic | 19,282 | 70 | ||
| Drafting occs | 217 | 8: NonHispanic | 246,155 | 922 | ||
| Airplane pilots and navigators | 226 | 1: Total | 107,936 | 407 | ||
| Airplane pilots and navigators | 226 | 2: Male | 105,271 | 395 | ||
| Airplane pilots and navigators | 226 | 3: Female | 2,665 | 12 | ||
| Airplane pilots and navigators | 226 | 4: White | 105,231 | 398 | ||
| Airplane pilots and navigators | 226 | 5: Black | 1,735 | 6 | ||
| Airplane pilots and navigators | 226 | 6: Other | 970 | 3 | ||
| Airplane pilots and navigators | 226 | 7: Hispanic | 3,245 | 11 | ||
| Airplane pilots and navigators | 226 | 8: NonHispanic | 104,691 | 396 | ||
| Computer programmers | 229 | 1: Total | 515,413 | 1961 | ||
| Computer programmers | 229 | 2: Male | 345,931 | 1291 | ||
| Computer programmers | 229 | 3: Female | 169,482 | 670 | ||
| Computer programmers | 229 | 4: White | 441,655 | 1658 | ||
| Computer programmers | 229 | 5: Black | 35,443 | 156 | ||
| Computer programmers | 229 | 6: Other | 38,315 | 147 | ||
| Computer programmers | 229 | 7: Hispanic | 23,934 | 90 | ||
| Computer programmers | 229 | 8: NonHispanic | 491,479 | 1871 | ||
| Legal assistants | 234 | 1: Total | 245,025 | 945 | ||
| Legal assistants | 234 | 2: Male | 51,098 | 190 | ||
| Legal assistants | 234 | 3: Female | 193,927 | 755 | ||
| Legal assistants | 234 | 4: White | 218,530 | 841 | ||
| Legal assistants | 234 | 5: Black | 16,896 | 71 | ||
| Legal assistants | 234 | 6: Other | 9,598 | 33 | ||
| Legal assistants | 234 | 7: Hispanic | 15,187 | 60 | ||
| Legal assistants | 234 | 8: NonHispanic | 229,838 | 885 | ||
| Technicians | 235 | 1: Total | 462,626 | 1780 | ||
| Technicians | 235 | 2: Male | 323,700 | 1230 | ||
| Technicians | 235 | 3: Female | 138,926 | 550 | ||
| Technicians | 235 | 4: White | 391,624 | 1496 | ||
| Technicians | 235 | 5: Black | 36,652 | 158 | ||
| Technicians | 235 | 6: Other | 34,349 | 126 | ||
| Technicians | 235 | 7: Hispanic | 28,281 | 99 | ||
| Technicians | 235 | 8: NonHispanic | 434,345 | 1681 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 1: Total | 3,596,023 | 13986 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 2: Male | 2,315,820 | 8835 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 3: Female | 1,280,203 | 5151 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 4: White | 3,297,445 | 12793 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 5: Black | 169,165 | 706 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 6: Other | 129,414 | 487 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 7: Hispanic | 197,592 | 751 | ||
| Supervisors/Proprietors, Sales Occupations | 243 | 8: NonHispanic | 3,398,432 | 13235 | ||
| Insurance sales occs | 253 | 1: Total | 654,951 | 2576 | ||
| Insurance sales occs | 253 | 2: Male | 422,637 | 1634 | ||
| Insurance sales occs | 253 | 3: Female | 232,314 | 942 | ||
| Insurance sales occs | 253 | 4: White | 598,754 | 2337 | ||
| Insurance sales occs | 253 | 5: Black | 40,514 | 179 | ||
| Insurance sales occs | 253 | 6: Other | 15,683 | 60 | ||
| Insurance sales occs | 253 | 7: Hispanic | 30,301 | 116 | ||
| Insurance sales occs | 253 | 8: NonHispanic | 624,650 | 2460 | ||
| Real estate sales occs | 254 | 1: Total | 788,281 | 3071 | ||
| Real estate sales occs | 254 | 2: Male | 401,798 | 1547 | ||
| Real estate sales occs | 254 | 3: Female | 386,483 | 1524 | ||
| Real estate sales occs | 254 | 4: White | 740,931 | 2889 | ||
| Real estate sales occs | 254 | 5: Black | 24,062 | 102 | ||
| Real estate sales occs | 254 | 6: Other | 23,288 | 80 | ||
| Real estate sales occs | 254 | 7: Hispanic | 32,809 | 122 | ||
| Real estate sales occs | 254 | 8: NonHispanic | 755,472 | 2949 | ||
| Securities and financial services sales occs | 255 | 1: Total | 288,542 | 1093 | ||
| Securities and financial services sales occs | 255 | 2: Male | 211,164 | 787 | ||
| Securities and financial services sales occs | 255 | 3: Female | 77,378 | 306 | ||
| Securities and financial services sales occs | 255 | 4: White | 265,488 | 1000 | ||
| Securities and financial services sales occs | 255 | 5: Black | 15,184 | 64 | ||
| Securities and financial services sales occs | 255 | 6: Other | 7,870 | 29 | ||
| Securities and financial services sales occs | 255 | 7: Hispanic | 7,195 | 28 | ||
| Securities and financial services sales occs | 255 | 8: NonHispanic | 281,347 | 1065 | ||
| Advertising and related sales occs | 256 | 1: Total | 142,145 | 547 | ||
| Advertising and related sales occs | 256 | 2: Male | 71,964 | 269 | ||
| Advertising and related sales occs | 256 | 3: Female | 70,181 | 278 | ||
| Advertising and related sales occs | 256 | 4: White | 133,280 | 511 | ||
| Advertising and related sales occs | 256 | 5: Black | 6,644 | 27 | ||
| Advertising and related sales occs | 256 | 6: Other | 2,222 | 9 | ||
| Advertising and related sales occs | 256 | 7: Hispanic | 4,887 | 20 | ||
| Advertising and related sales occs | 256 | 8: NonHispanic | 137,258 | 527 | ||
| Sales occs, other business services | 257 | 1: Total | 393,028 | 1500 | ||
| Sales occs, other business services | 257 | 2: Male | 252,718 | 944 | ||
| Sales occs, other business services | 257 | 3: Female | 140,309 | 556 | ||
| Sales occs, other business services | 257 | 4: White | 364,858 | 1385 | ||
| Sales occs, other business services | 257 | 5: Black | 19,777 | 86 | ||
| Sales occs, other business services | 257 | 6: Other | 8,392 | 29 | ||
| Sales occs, other business services | 257 | 7: Hispanic | 20,971 | 83 | ||
| Sales occs, other business services | 257 | 8: NonHispanic | 372,057 | 1417 | ||
| Sales reps, mining/manufact/wholesale | 259 | 1: Total | 1,305,211 | 5013 | ||
| Sales reps, mining/manufact/wholesale | 259 | 2: Male | 1,004,909 | 3833 | ||
| Sales reps, mining/manufact/wholesale | 259 | 3: Female | 300,302 | 1180 | ||
| Sales reps, mining/manufact/wholesale | 259 | 4: White | 1,240,419 | 4750 | ||
| Sales reps, mining/manufact/wholesale | 259 | 5: Black | 39,789 | 170 | ||
| Sales reps, mining/manufact/wholesale | 259 | 6: Other | 25,003 | 93 | ||
| Sales reps, mining/manufact/wholesale | 259 | 7: Hispanic | 58,984 | 232 | ||
| Sales reps, mining/manufact/wholesale | 259 | 8: NonHispanic | 1,246,227 | 4781 | ||
| Sales workers, motor vehicles and boats | 263 | 1: Total | 255,606 | 991 | ||
| Sales workers, motor vehicles and boats | 263 | 2: Male | 241,931 | 936 | ||
| Sales workers, motor vehicles and boats | 263 | 3: Female | 13,676 | 55 | ||
| Sales workers, motor vehicles and boats | 263 | 4: White | 240,349 | 936 | ||
| Sales workers, motor vehicles and boats | 263 | 5: Black | 11,496 | 41 | ||
| Sales workers, motor vehicles and boats | 263 | 6: Other | 3,761 | 14 | ||
| Sales workers, motor vehicles and boats | 263 | 7: Hispanic | 14,878 | 59 | ||
| Sales workers, motor vehicles and boats | 263 | 8: NonHispanic | 240,729 | 932 | ||
| Sales workers, apparel | 264 | 1: Total | 296,930 | 1169 | ||
| Sales workers, apparel | 264 | 2: Male | 53,627 | 196 | ||
| Sales workers, apparel | 264 | 3: Female | 243,303 | 973 | ||
| Sales workers, apparel | 264 | 4: White | 258,828 | 1001 | ||
| Sales workers, apparel | 264 | 5: Black | 27,636 | 127 | ||
| Sales workers, apparel | 264 | 6: Other | 10,465 | 41 | ||
| Sales workers, apparel | 264 | 7: Hispanic | 32,386 | 124 | ||
| Sales workers, apparel | 264 | 8: NonHispanic | 264,544 | 1045 | ||
| Sales workers, furniture and home furnishings | 266 | 1: Total | 105,818 | 402 | ||
| Sales workers, furniture and home furnishings | 266 | 2: Male | 54,694 | 213 | ||
| Sales workers, furniture and home furnishings | 266 | 3: Female | 51,124 | 189 | ||
| Sales workers, furniture and home furnishings | 266 | 4: White | 99,018 | 372 | ||
| Sales workers, furniture and home furnishings | 266 | 5: Black | 4,966 | 22 | ||
| Sales workers, furniture and home furnishings | 266 | 6: Other | 1,833 | 8 | ||
| Sales workers, furniture and home furnishings | 266 | 7: Hispanic | 7,845 | 30 | ||
| Sales workers, furniture and home furnishings | 266 | 8: NonHispanic | 97,973 | 372 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 1: Total | 119,117 | 452 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 2: Male | 91,775 | 345 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 3: Female | 27,342 | 107 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 4: White | 107,942 | 403 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 5: Black | 6,979 | 33 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 6: Other | 4,196 | 16 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 7: Hispanic | 6,412 | 21 | ||
| Sales workers, radio, TV, hi-fi and appliances | 267 | 8: NonHispanic | 112,705 | 431 | ||
| Sales workers, hardware and building supplies | 268 | 1: Total | 116,569 | 444 | ||
| Sales workers, hardware and building supplies | 268 | 2: Male | 92,969 | 350 | ||
| Sales workers, hardware and building supplies | 268 | 3: Female | 23,600 | 94 | ||
| Sales workers, hardware and building supplies | 268 | 4: White | 112,288 | 428 | ||
| Sales workers, hardware and building supplies | 268 | 5: Black | 2,839 | 11 | ||
| Sales workers, hardware and building supplies | 268 | 6: Other | 1,442 | 5 | ||
| Sales workers, hardware and building supplies | 268 | 7: Hispanic | 3,475 | 14 | ||
| Sales workers, hardware and building supplies | 268 | 8: NonHispanic | 113,094 | 430 | ||
| Sales workers, parts | 269 | 1: Total | 138,870 | 525 | ||
| Sales workers, parts | 269 | 2: Male | 125,177 | 474 | ||
| Sales workers, parts | 269 | 3: Female | 13,693 | 51 | ||
| Sales workers, parts | 269 | 4: White | 129,759 | 492 | ||
| Sales workers, parts | 269 | 5: Black | 7,235 | 26 | ||
| Sales workers, parts | 269 | 6: Other | 1,876 | 7 | ||
| Sales workers, parts | 269 | 7: Hispanic | 8,300 | 32 | ||
| Sales workers, parts | 269 | 8: NonHispanic | 130,569 | 493 | ||
| Sales workers, other commodities | 274 | 1: Total | 2,118,672 | 8281 | ||
| Sales workers, other commodities | 274 | 2: Male | 764,573 | 2889 | ||
| Sales workers, other commodities | 274 | 3: Female | 1,354,099 | 5392 | ||
| Sales workers, other commodities | 274 | 4: White | 1,900,230 | 7370 | ||
| Sales workers, other commodities | 274 | 5: Black | 142,383 | 650 | ||
| Sales workers, other commodities | 274 | 6: Other | 76,059 | 261 | ||
| Sales workers, other commodities | 274 | 7: Hispanic | 137,695 | 537 | ||
| Sales workers, other commodities | 274 | 8: NonHispanic | 1,980,977 | 7744 | ||
| Sales counter clerks | 275 | 1: Total | 182,795 | 715 | ||
| Sales counter clerks | 275 | 2: Male | 62,397 | 234 | ||
| Sales counter clerks | 275 | 3: Female | 120,397 | 481 | ||
| Sales counter clerks | 275 | 4: White | 145,649 | 556 | ||
| Sales counter clerks | 275 | 5: Black | 18,053 | 87 | ||
| Sales counter clerks | 275 | 6: Other | 19,093 | 72 | ||
| Sales counter clerks | 275 | 7: Hispanic | 17,033 | 63 | ||
| Sales counter clerks | 275 | 8: NonHispanic | 165,762 | 652 | ||
| Cashiers | 276 | 1: Total | 2,043,195 | 8164 | ||
| Cashiers | 276 | 2: Male | 361,042 | 1384 | ||
| Cashiers | 276 | 3: Female | 1,682,152 | 6780 | ||
| Cashiers | 276 | 4: White | 1,619,868 | 6314 | ||
| Cashiers | 276 | 5: Black | 312,261 | 1444 | ||
| Cashiers | 276 | 6: Other | 111,066 | 406 | ||
| Cashiers | 276 | 7: Hispanic | 187,024 | 743 | ||
| Cashiers | 276 | 8: NonHispanic | 1,856,171 | 7421 | ||
| Street and door-to-door sales workers | 277 | 1: Total | 276,408 | 1084 | ||
| Street and door-to-door sales workers | 277 | 2: Male | 68,964 | 258 | ||
| Street and door-to-door sales workers | 277 | 3: Female | 207,444 | 826 | ||
| Street and door-to-door sales workers | 277 | 4: White | 251,242 | 973 | ||
| Street and door-to-door sales workers | 277 | 5: Black | 21,783 | 96 | ||
| Street and door-to-door sales workers | 277 | 6: Other | 3,383 | 15 | ||
| Street and door-to-door sales workers | 277 | 7: Hispanic | 18,747 | 73 | ||
| Street and door-to-door sales workers | 277 | 8: NonHispanic | 257,661 | 1011 | ||
| Supervisors, general office | 303 | 1: Total | 456,019 | 1807 | ||
| Supervisors, general office | 303 | 2: Male | 127,692 | 471 | ||
| Supervisors, general office | 303 | 3: Female | 328,327 | 1336 | ||
| Supervisors, general office | 303 | 4: White | 393,770 | 1542 | ||
| Supervisors, general office | 303 | 5: Black | 47,377 | 210 | ||
| Supervisors, general office | 303 | 6: Other | 14,872 | 55 | ||
| Supervisors, general office | 303 | 7: Hispanic | 26,940 | 100 | ||
| Supervisors, general office | 303 | 8: NonHispanic | 429,079 | 1707 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 1: Total | 177,953 | 706 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 2: Male | 119,950 | 461 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 3: Female | 58,003 | 245 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 4: White | 145,138 | 561 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 5: Black | 28,601 | 128 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 6: Other | 4,214 | 17 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 7: Hispanic | 12,491 | 49 | ||
| Supervisors, distribution, scheduling, and adjusting clerks | 307 | 8: NonHispanic | 165,462 | 657 | ||
| Computer operators | 308 | 1: Total | 659,841 | 2629 | ||
| Computer operators | 308 | 2: Male | 234,917 | 880 | ||
| Computer operators | 308 | 3: Female | 424,925 | 1749 | ||
| Computer operators | 308 | 4: White | 543,263 | 2105 | ||
| Computer operators | 308 | 5: Black | 92,859 | 436 | ||
| Computer operators | 308 | 6: Other | 23,719 | 88 | ||
| Computer operators | 308 | 7: Hispanic | 42,368 | 159 | ||
| Computer operators | 308 | 8: NonHispanic | 617,473 | 2470 | ||
| Secretaries | 313 | 1: Total | 3,828,302 | 15276 | ||
| Secretaries | 313 | 2: Male | 46,281 | 183 | ||
| Secretaries | 313 | 3: Female | 3,782,021 | 15093 | ||
| Secretaries | 313 | 4: White | 3,453,562 | 13564 | ||
| Secretaries | 313 | 5: Black | 290,884 | 1418 | ||
| Secretaries | 313 | 6: Other | 83,856 | 294 | ||
| Secretaries | 313 | 7: Hispanic | 229,081 | 890 | ||
| Secretaries | 313 | 8: NonHispanic | 3,599,220 | 14386 | ||
| Typists | 315 | 1: Total | 515,090 | 2109 | ||
| Typists | 315 | 2: Male | 28,810 | 109 | ||
| Typists | 315 | 3: Female | 486,281 | 2000 | ||
| Typists | 315 | 4: White | 407,125 | 1587 | ||
| Typists | 315 | 5: Black | 88,156 | 445 | ||
| Typists | 315 | 6: Other | 19,809 | 77 | ||
| Typists | 315 | 7: Hispanic | 36,679 | 153 | ||
| Typists | 315 | 8: NonHispanic | 478,411 | 1956 | ||
| Interviewers | 316 | 1: Total | 146,720 | 581 | ||
| Interviewers | 316 | 2: Male | 18,133 | 69 | ||
| Interviewers | 316 | 3: Female | 128,587 | 512 | ||
| Interviewers | 316 | 4: White | 126,116 | 479 | ||
| Interviewers | 316 | 5: Black | 18,343 | 92 | ||
| Interviewers | 316 | 6: Other | 2,261 | 10 | ||
| Interviewers | 316 | 7: Hispanic | 9,918 | 38 | ||
| Interviewers | 316 | 8: NonHispanic | 136,801 | 543 | ||
| Transportation ticket and reservation agents | 318 | 1: Total | 164,670 | 642 | ||
| Transportation ticket and reservation agents | 318 | 2: Male | 56,559 | 214 | ||
| Transportation ticket and reservation agents | 318 | 3: Female | 108,111 | 428 | ||
| Transportation ticket and reservation agents | 318 | 4: White | 138,098 | 533 | ||
| Transportation ticket and reservation agents | 318 | 5: Black | 18,274 | 80 | ||
| Transportation ticket and reservation agents | 318 | 6: Other | 8,299 | 29 | ||
| Transportation ticket and reservation agents | 318 | 7: Hispanic | 13,923 | 54 | ||
| Transportation ticket and reservation agents | 318 | 8: NonHispanic | 150,747 | 588 | ||
| Receptionists | 319 | 1: Total | 747,566 | 3010 | ||
| Receptionists | 319 | 2: Male | 26,737 | 99 | ||
| Receptionists | 319 | 3: Female | 720,830 | 2911 | ||
| Receptionists | 319 | 4: White | 671,925 | 2649 | ||
| Receptionists | 319 | 5: Black | 57,688 | 294 | ||
| Receptionists | 319 | 6: Other | 17,953 | 67 | ||
| Receptionists | 319 | 7: Hispanic | 70,963 | 270 | ||
| Receptionists | 319 | 8: NonHispanic | 676,603 | 2740 | ||
| Order clerks | 327 | 1: Total | 183,515 | 735 | ||
| Order clerks | 327 | 2: Male | 48,147 | 183 | ||
| Order clerks | 327 | 3: Female | 135,368 | 552 | ||
| Order clerks | 327 | 4: White | 153,766 | 596 | ||
| Order clerks | 327 | 5: Black | 25,840 | 125 | ||
| Order clerks | 327 | 6: Other | 3,910 | 14 | ||
| Order clerks | 327 | 7: Hispanic | 14,429 | 54 | ||
| Order clerks | 327 | 8: NonHispanic | 169,086 | 681 | ||
| Library clerks | 329 | 1: Total | 125,725 | 491 | ||
| Library clerks | 329 | 2: Male | 27,366 | 96 | ||
| Library clerks | 329 | 3: Female | 98,359 | 395 | ||
| Library clerks | 329 | 4: White | 100,948 | 392 | ||
| Library clerks | 329 | 5: Black | 15,408 | 68 | ||
| Library clerks | 329 | 6: Other | 9,369 | 31 | ||
| Library clerks | 329 | 7: Hispanic | 10,207 | 36 | ||
| Library clerks | 329 | 8: NonHispanic | 115,518 | 455 | ||
| File clerks | 335 | 1: Total | 193,069 | 790 | ||
| File clerks | 335 | 2: Male | 40,157 | 165 | ||
| File clerks | 335 | 3: Female | 152,912 | 625 | ||
| File clerks | 335 | 4: White | 147,502 | 575 | ||
| File clerks | 335 | 5: Black | 35,931 | 177 | ||
| File clerks | 335 | 6: Other | 9,636 | 38 | ||
| File clerks | 335 | 7: Hispanic | 19,217 | 76 | ||
| File clerks | 335 | 8: NonHispanic | 173,853 | 714 | ||
| Records clerks | 336 | 1: Total | 159,184 | 645 | ||
| Records clerks | 336 | 2: Male | 34,088 | 128 | ||
| Records clerks | 336 | 3: Female | 125,096 | 517 | ||
| Records clerks | 336 | 4: White | 133,291 | 518 | ||
| Records clerks | 336 | 5: Black | 19,718 | 102 | ||
| Records clerks | 336 | 6: Other | 6,175 | 25 | ||
| Records clerks | 336 | 7: Hispanic | 11,973 | 51 | ||
| Records clerks | 336 | 8: NonHispanic | 147,211 | 594 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 1: Total | 1,817,127 | 7239 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 2: Male | 163,476 | 622 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 3: Female | 1,653,650 | 6617 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 4: White | 1,651,362 | 6542 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 5: Black | 97,144 | 446 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 6: Other | 68,621 | 251 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 7: Hispanic | 90,453 | 360 | ||
| Bookkeepers, accounting, and auditing clerks | 337 | 8: NonHispanic | 1,726,674 | 6879 | ||
| Payroll and timekeeping clerks | 338 | 1: Total | 150,511 | 605 | ||
| Payroll and timekeeping clerks | 338 | 2: Male | 15,990 | 63 | ||
| Payroll and timekeeping clerks | 338 | 3: Female | 134,521 | 542 | ||
| Payroll and timekeeping clerks | 338 | 4: White | 129,718 | 508 | ||
| Payroll and timekeeping clerks | 338 | 5: Black | 14,808 | 75 | ||
| Payroll and timekeeping clerks | 338 | 6: Other | 5,985 | 22 | ||
| Payroll and timekeeping clerks | 338 | 7: Hispanic | 9,273 | 39 | ||
| Payroll and timekeeping clerks | 338 | 8: NonHispanic | 141,237 | 566 | ||
| Billing clerks | 339 | 1: Total | 165,608 | 657 | ||
| Billing clerks | 339 | 2: Male | 15,055 | 55 | ||
| Billing clerks | 339 | 3: Female | 150,553 | 602 | ||
| Billing clerks | 339 | 4: White | 143,857 | 557 | ||
| Billing clerks | 339 | 5: Black | 15,636 | 76 | ||
| Billing clerks | 339 | 6: Other | 6,115 | 24 | ||
| Billing clerks | 339 | 7: Hispanic | 8,191 | 33 | ||
| Billing clerks | 339 | 8: NonHispanic | 157,417 | 624 | ||
| Telephone operators | 348 | 1: Total | 195,396 | 795 | ||
| Telephone operators | 348 | 2: Male | 20,290 | 76 | ||
| Telephone operators | 348 | 3: Female | 175,105 | 719 | ||
| Telephone operators | 348 | 4: White | 149,302 | 582 | ||
| Telephone operators | 348 | 5: Black | 38,556 | 187 | ||
| Telephone operators | 348 | 6: Other | 7,537 | 26 | ||
| Telephone operators | 348 | 7: Hispanic | 11,184 | 43 | ||
| Telephone operators | 348 | 8: NonHispanic | 184,211 | 752 | ||
| Postal clerks, except mail carriers | 354 | 1: Total | 310,003 | 1317 | ||
| Postal clerks, except mail carriers | 354 | 2: Male | 170,471 | 697 | ||
| Postal clerks, except mail carriers | 354 | 3: Female | 139,532 | 620 | ||
| Postal clerks, except mail carriers | 354 | 4: White | 207,923 | 834 | ||
| Postal clerks, except mail carriers | 354 | 5: Black | 82,256 | 405 | ||
| Postal clerks, except mail carriers | 354 | 6: Other | 19,824 | 78 | ||
| Postal clerks, except mail carriers | 354 | 7: Hispanic | 21,022 | 86 | ||
| Postal clerks, except mail carriers | 354 | 8: NonHispanic | 288,981 | 1231 | ||
| Mail carriers, postal service | 355 | 1: Total | 303,415 | 1216 | ||
| Mail carriers, postal service | 355 | 2: Male | 217,151 | 858 | ||
| Mail carriers, postal service | 355 | 3: Female | 86,263 | 358 | ||
| Mail carriers, postal service | 355 | 4: White | 251,840 | 1003 | ||
| Mail carriers, postal service | 355 | 5: Black | 39,538 | 173 | ||
| Mail carriers, postal service | 355 | 6: Other | 12,037 | 40 | ||
| Mail carriers, postal service | 355 | 7: Hispanic | 21,353 | 80 | ||
| Mail carriers, postal service | 355 | 8: NonHispanic | 282,061 | 1136 | ||
| Mail clerks, except postal service | 356 | 1: Total | 178,110 | 715 | ||
| Mail clerks, except postal service | 356 | 2: Male | 101,596 | 384 | ||
| Mail clerks, except postal service | 356 | 3: Female | 76,514 | 331 | ||
| Mail clerks, except postal service | 356 | 4: White | 134,186 | 513 | ||
| Mail clerks, except postal service | 356 | 5: Black | 38,112 | 180 | ||
| Mail clerks, except postal service | 356 | 6: Other | 5,812 | 22 | ||
| Mail clerks, except postal service | 356 | 7: Hispanic | 18,429 | 66 | ||
| Mail clerks, except postal service | 356 | 8: NonHispanic | 159,682 | 649 | ||
| Messengers | 357 | 1: Total | 123,316 | 487 | ||
| Messengers | 357 | 2: Male | 94,001 | 368 | ||
| Messengers | 357 | 3: Female | 29,314 | 119 | ||
| Messengers | 357 | 4: White | 100,817 | 379 | ||
| Messengers | 357 | 5: Black | 18,180 | 92 | ||
| Messengers | 357 | 6: Other | 4,319 | 16 | ||
| Messengers | 357 | 7: Hispanic | 12,004 | 48 | ||
| Messengers | 357 | 8: NonHispanic | 111,312 | 439 | ||
| Dispatchers | 359 | 1: Total | 180,789 | 724 | ||
| Dispatchers | 359 | 2: Male | 91,223 | 357 | ||
| Dispatchers | 359 | 3: Female | 89,566 | 367 | ||
| Dispatchers | 359 | 4: White | 162,937 | 639 | ||
| Dispatchers | 359 | 5: Black | 14,936 | 72 | ||
| Dispatchers | 359 | 6: Other | 2,916 | 13 | ||
| Dispatchers | 359 | 7: Hispanic | 10,432 | 40 | ||
| Dispatchers | 359 | 8: NonHispanic | 170,357 | 684 | ||
| Production coordinators | 363 | 1: Total | 204,210 | 813 | ||
| Production coordinators | 363 | 2: Male | 109,596 | 423 | ||
| Production coordinators | 363 | 3: Female | 94,614 | 390 | ||
| Production coordinators | 363 | 4: White | 184,024 | 723 | ||
| Production coordinators | 363 | 5: Black | 15,000 | 68 | ||
| Production coordinators | 363 | 6: Other | 5,187 | 22 | ||
| Production coordinators | 363 | 7: Hispanic | 8,866 | 35 | ||
| Production coordinators | 363 | 8: NonHispanic | 195,344 | 778 | ||
| Traffic, shipping, and receiving clerks | 364 | 1: Total | 531,212 | 2034 | ||
| Traffic, shipping, and receiving clerks | 364 | 2: Male | 384,452 | 1447 | ||
| Traffic, shipping, and receiving clerks | 364 | 3: Female | 146,759 | 587 | ||
| Traffic, shipping, and receiving clerks | 364 | 4: White | 434,475 | 1640 | ||
| Traffic, shipping, and receiving clerks | 364 | 5: Black | 77,426 | 332 | ||
| Traffic, shipping, and receiving clerks | 364 | 6: Other | 19,310 | 62 | ||
| Traffic, shipping, and receiving clerks | 364 | 7: Hispanic | 57,292 | 207 | ||
| Traffic, shipping, and receiving clerks | 364 | 8: NonHispanic | 473,920 | 1827 | ||
| Stock and inventory clerks | 365 | 1: Total | 585,833 | 2303 | ||
| Stock and inventory clerks | 365 | 2: Male | 355,972 | 1359 | ||
| Stock and inventory clerks | 365 | 3: Female | 229,861 | 944 | ||
| Stock and inventory clerks | 365 | 4: White | 483,956 | 1863 | ||
| Stock and inventory clerks | 365 | 5: Black | 81,578 | 366 | ||
| Stock and inventory clerks | 365 | 6: Other | 20,299 | 74 | ||
| Stock and inventory clerks | 365 | 7: Hispanic | 49,932 | 198 | ||
| Stock and inventory clerks | 365 | 8: NonHispanic | 535,901 | 2105 | ||
| Expediters | 373 | 1: Total | 169,140 | 666 | ||
| Expediters | 373 | 2: Male | 58,752 | 218 | ||
| Expediters | 373 | 3: Female | 110,388 | 448 | ||
| Expediters | 373 | 4: White | 143,787 | 554 | ||
| Expediters | 373 | 5: Black | 20,203 | 93 | ||
| Expediters | 373 | 6: Other | 5,150 | 19 | ||
| Expediters | 373 | 7: Hispanic | 13,687 | 50 | ||
| Expediters | 373 | 8: NonHispanic | 155,453 | 616 | ||
| Insurance adjusters, examiners, and investigators | 375 | 1: Total | 304,227 | 1228 | ||
| Insurance adjusters, examiners, and investigators | 375 | 2: Male | 88,079 | 336 | ||
| Insurance adjusters, examiners, and investigators | 375 | 3: Female | 216,148 | 892 | ||
| Insurance adjusters, examiners, and investigators | 375 | 4: White | 258,407 | 1019 | ||
| Insurance adjusters, examiners, and investigators | 375 | 5: Black | 37,062 | 176 | ||
| Insurance adjusters, examiners, and investigators | 375 | 6: Other | 8,758 | 33 | ||
| Insurance adjusters, examiners, and investigators | 375 | 7: Hispanic | 18,714 | 75 | ||
| Insurance adjusters, examiners, and investigators | 375 | 8: NonHispanic | 285,513 | 1153 | ||
| Investigators and adjusters, except insurance | 376 | 1: Total | 636,942 | 2527 | ||
| Investigators and adjusters, except insurance | 376 | 2: Male | 163,828 | 623 | ||
| Investigators and adjusters, except insurance | 376 | 3: Female | 473,114 | 1904 | ||
| Investigators and adjusters, except insurance | 376 | 4: White | 544,471 | 2127 | ||
| Investigators and adjusters, except insurance | 376 | 5: Black | 73,460 | 324 | ||
| Investigators and adjusters, except insurance | 376 | 6: Other | 19,011 | 76 | ||
| Investigators and adjusters, except insurance | 376 | 7: Hispanic | 45,242 | 182 | ||
| Investigators and adjusters, except insurance | 376 | 8: NonHispanic | 591,700 | 2345 | ||
| Bill and account collectors | 378 | 1: Total | 133,916 | 519 | ||
| Bill and account collectors | 378 | 2: Male | 48,058 | 180 | ||
| Bill and account collectors | 378 | 3: Female | 85,858 | 339 | ||
| Bill and account collectors | 378 | 4: White | 114,532 | 438 | ||
| Bill and account collectors | 378 | 5: Black | 17,327 | 72 | ||
| Bill and account collectors | 378 | 6: Other | 2,057 | 9 | ||
| Bill and account collectors | 378 | 7: Hispanic | 11,787 | 51 | ||
| Bill and account collectors | 378 | 8: NonHispanic | 122,129 | 468 | ||
| General office clerks | 379 | 1: Total | 1,187,412 | 4708 | ||
| General office clerks | 379 | 2: Male | 217,103 | 804 | ||
| General office clerks | 379 | 3: Female | 970,309 | 3904 | ||
| General office clerks | 379 | 4: White | 992,097 | 3819 | ||
| General office clerks | 379 | 5: Black | 147,483 | 714 | ||
| General office clerks | 379 | 6: Other | 47,832 | 175 | ||
| General office clerks | 379 | 7: Hispanic | 93,915 | 367 | ||
| General office clerks | 379 | 8: NonHispanic | 1,093,497 | 4341 | ||
| Bank tellers | 383 | 1: Total | 452,802 | 1791 | ||
| Bank tellers | 383 | 2: Male | 39,851 | 150 | ||
| Bank tellers | 383 | 3: Female | 412,951 | 1641 | ||
| Bank tellers | 383 | 4: White | 391,439 | 1524 | ||
| Bank tellers | 383 | 5: Black | 43,808 | 204 | ||
| Bank tellers | 383 | 6: Other | 17,555 | 63 | ||
| Bank tellers | 383 | 7: Hispanic | 34,169 | 132 | ||
| Bank tellers | 383 | 8: NonHispanic | 418,633 | 1659 | ||
| Data-entry keyers | 385 | 1: Total | 485,635 | 2007 | ||
| Data-entry keyers | 385 | 2: Male | 73,725 | 284 | ||
| Data-entry keyers | 385 | 3: Female | 411,909 | 1723 | ||
| Data-entry keyers | 385 | 4: White | 365,475 | 1453 | ||
| Data-entry keyers | 385 | 5: Black | 91,883 | 448 | ||
| Data-entry keyers | 385 | 6: Other | 28,277 | 106 | ||
| Data-entry keyers | 385 | 7: Hispanic | 35,687 | 143 | ||
| Data-entry keyers | 385 | 8: NonHispanic | 449,947 | 1864 | ||
| Teachers aides | 387 | 1: Total | 388,785 | 1625 | ||
| Teachers aides | 387 | 2: Male | 21,414 | 86 | ||
| Teachers aides | 387 | 3: Female | 367,370 | 1539 | ||
| Teachers aides | 387 | 4: White | 314,883 | 1261 | ||
| Teachers aides | 387 | 5: Black | 61,772 | 320 | ||
| Teachers aides | 387 | 6: Other | 12,130 | 44 | ||
| Teachers aides | 387 | 7: Hispanic | 52,219 | 210 | ||
| Teachers aides | 387 | 8: NonHispanic | 336,566 | 1415 | ||
| Administrative support occs | 389 | 1: Total | 717,172 | 2890 | ||
| Administrative support occs | 389 | 2: Male | 169,607 | 650 | ||
| Administrative support occs | 389 | 3: Female | 547,564 | 2240 | ||
| Administrative support occs | 389 | 4: White | 603,814 | 2371 | ||
| Administrative support occs | 389 | 5: Black | 82,999 | 405 | ||
| Administrative support occs | 389 | 6: Other | 30,359 | 114 | ||
| Administrative support occs | 389 | 7: Hispanic | 43,281 | 171 | ||
| Administrative support occs | 389 | 8: NonHispanic | 673,891 | 2719 | ||
| Child care workers, private household | 406 | 1: Total | 184,736 | 735 | ||
| Child care workers, private household | 406 | 2: Male | 4,252 | 13 | ||
| Child care workers, private household | 406 | 3: Female | 180,484 | 722 | ||
| Child care workers, private household | 406 | 4: White | 152,239 | 581 | ||
| Child care workers, private household | 406 | 5: Black | 25,514 | 130 | ||
| Child care workers, private household | 406 | 6: Other | 6,983 | 24 | ||
| Child care workers, private household | 406 | 7: Hispanic | 20,558 | 77 | ||
| Child care workers, private household | 406 | 8: NonHispanic | 164,178 | 658 | ||
| Private household cleaners and servants | 407 | 1: Total | 515,168 | 2307 | ||
| Private household cleaners and servants | 407 | 2: Male | 27,623 | 112 | ||
| Private household cleaners and servants | 407 | 3: Female | 487,545 | 2195 | ||
| Private household cleaners and servants | 407 | 4: White | 334,219 | 1353 | ||
| Private household cleaners and servants | 407 | 5: Black | 169,563 | 913 | ||
| Private household cleaners and servants | 407 | 6: Other | 11,386 | 41 | ||
| Private household cleaners and servants | 407 | 7: Hispanic | 93,012 | 380 | ||
| Private household cleaners and servants | 407 | 8: NonHispanic | 422,156 | 1927 | ||
| Firefighting occs | 417 | 1: Total | 198,277 | 770 | ||
| Firefighting occs | 417 | 2: Male | 193,361 | 750 | ||
| Firefighting occs | 417 | 3: Female | 4,916 | 20 | ||
| Firefighting occs | 417 | 4: White | 173,027 | 670 | ||
| Firefighting occs | 417 | 5: Black | 19,686 | 82 | ||
| Firefighting occs | 417 | 6: Other | 5,564 | 18 | ||
| Firefighting occs | 417 | 7: Hispanic | 11,259 | 46 | ||
| Firefighting occs | 417 | 8: NonHispanic | 187,017 | 724 | ||
| Police and detectives, public service | 418 | 1: Total | 481,710 | 1842 | ||
| Police and detectives, public service | 418 | 2: Male | 427,880 | 1617 | ||
| Police and detectives, public service | 418 | 3: Female | 53,830 | 225 | ||
| Police and detectives, public service | 418 | 4: White | 415,697 | 1576 | ||
| Police and detectives, public service | 418 | 5: Black | 57,495 | 235 | ||
| Police and detectives, public service | 418 | 6: Other | 8,517 | 31 | ||
| Police and detectives, public service | 418 | 7: Hispanic | 35,570 | 133 | ||
| Police and detectives, public service | 418 | 8: NonHispanic | 446,140 | 1709 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 1: Total | 127,159 | 487 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 2: Male | 108,386 | 406 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 3: Female | 18,773 | 81 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 4: White | 110,731 | 414 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 5: Black | 14,369 | 66 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 6: Other | 2,059 | 7 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 7: Hispanic | 7,896 | 27 | ||
| Sheriffs/bailiffs/other law enforcement officers | 423 | 8: NonHispanic | 119,263 | 460 | ||
| Correctional institution officers | 424 | 1: Total | 219,927 | 853 | ||
| Correctional institution officers | 424 | 2: Male | 173,618 | 657 | ||
| Correctional institution officers | 424 | 3: Female | 46,309 | 196 | ||
| Correctional institution officers | 424 | 4: White | 156,718 | 598 | ||
| Correctional institution officers | 424 | 5: Black | 60,620 | 246 | ||
| Correctional institution officers | 424 | 6: Other | 2,589 | 9 | ||
| Correctional institution officers | 424 | 7: Hispanic | 16,375 | 61 | ||
| Correctional institution officers | 424 | 8: NonHispanic | 203,552 | 792 | ||
| Guards and police, except public service | 426 | 1: Total | 650,456 | 2571 | ||
| Guards and police, except public service | 426 | 2: Male | 552,369 | 2154 | ||
| Guards and police, except public service | 426 | 3: Female | 98,086 | 417 | ||
| Guards and police, except public service | 426 | 4: White | 480,103 | 1811 | ||
| Guards and police, except public service | 426 | 5: Black | 149,390 | 677 | ||
| Guards and police, except public service | 426 | 6: Other | 20,963 | 83 | ||
| Guards and police, except public service | 426 | 7: Hispanic | 50,594 | 197 | ||
| Guards and police, except public service | 426 | 8: NonHispanic | 599,862 | 2374 | ||
| Supervisors, food preparation and service occs | 433 | 1: Total | 259,072 | 1006 | ||
| Supervisors, food preparation and service occs | 433 | 2: Male | 104,802 | 403 | ||
| Supervisors, food preparation and service occs | 433 | 3: Female | 154,270 | 603 | ||
| Supervisors, food preparation and service occs | 433 | 4: White | 204,666 | 770 | ||
| Supervisors, food preparation and service occs | 433 | 5: Black | 34,444 | 168 | ||
| Supervisors, food preparation and service occs | 433 | 6: Other | 19,962 | 68 | ||
| Supervisors, food preparation and service occs | 433 | 7: Hispanic | 25,251 | 87 | ||
| Supervisors, food preparation and service occs | 433 | 8: NonHispanic | 233,821 | 919 | ||
| Bartenders | 434 | 1: Total | 344,383 | 1277 | ||
| Bartenders | 434 | 2: Male | 165,509 | 609 | ||
| Bartenders | 434 | 3: Female | 178,873 | 668 | ||
| Bartenders | 434 | 4: White | 316,379 | 1178 | ||
| Bartenders | 434 | 5: Black | 16,534 | 62 | ||
| Bartenders | 434 | 6: Other | 11,470 | 37 | ||
| Bartenders | 434 | 7: Hispanic | 19,323 | 73 | ||
| Bartenders | 434 | 8: NonHispanic | 325,059 | 1204 | ||
| Waiters and waitresses | 435 | 1: Total | 1,243,450 | 4834 | ||
| Waiters and waitresses | 435 | 2: Male | 223,627 | 831 | ||
| Waiters and waitresses | 435 | 3: Female | 1,019,824 | 4003 | ||
| Waiters and waitresses | 435 | 4: White | 1,111,262 | 4303 | ||
| Waiters and waitresses | 435 | 5: Black | 61,054 | 276 | ||
| Waiters and waitresses | 435 | 6: Other | 71,135 | 255 | ||
| Waiters and waitresses | 435 | 7: Hispanic | 95,550 | 372 | ||
| Waiters and waitresses | 435 | 8: NonHispanic | 1,147,900 | 4462 | ||
| Cooks | 436 | 1: Total | 1,587,227 | 6414 | ||
| Cooks | 436 | 2: Male | 783,771 | 2992 | ||
| Cooks | 436 | 3: Female | 803,457 | 3422 | ||
| Cooks | 436 | 4: White | 1,172,926 | 4547 | ||
| Cooks | 436 | 5: Black | 300,435 | 1439 | ||
| Cooks | 436 | 6: Other | 113,866 | 428 | ||
| Cooks | 436 | 7: Hispanic | 209,332 | 808 | ||
| Cooks | 436 | 8: NonHispanic | 1,377,895 | 5606 | ||
| Food counter/fountain/related occs | 438 | 1: Total | 176,859 | 695 | ||
| Food counter/fountain/related occs | 438 | 2: Male | 45,699 | 168 | ||
| Food counter/fountain/related occs | 438 | 3: Female | 131,160 | 527 | ||
| Food counter/fountain/related occs | 438 | 4: White | 146,014 | 567 | ||
| Food counter/fountain/related occs | 438 | 5: Black | 19,953 | 94 | ||
| Food counter/fountain/related occs | 438 | 6: Other | 10,892 | 34 | ||
| Food counter/fountain/related occs | 438 | 7: Hispanic | 17,933 | 67 | ||
| Food counter/fountain/related occs | 438 | 8: NonHispanic | 158,926 | 628 | ||
| Kitchen workers, food preparation | 439 | 1: Total | 192,563 | 789 | ||
| Kitchen workers, food preparation | 439 | 2: Male | 57,965 | 228 | ||
| Kitchen workers, food preparation | 439 | 3: Female | 134,598 | 561 | ||
| Kitchen workers, food preparation | 439 | 4: White | 157,272 | 625 | ||
| Kitchen workers, food preparation | 439 | 5: Black | 26,793 | 131 | ||
| Kitchen workers, food preparation | 439 | 6: Other | 8,499 | 33 | ||
| Kitchen workers, food preparation | 439 | 7: Hispanic | 27,503 | 110 | ||
| Kitchen workers, food preparation | 439 | 8: NonHispanic | 165,061 | 679 | ||
| Waiters/waitresses assistants | 443 | 1: Total | 264,739 | 1045 | ||
| Waiters/waitresses assistants | 443 | 2: Male | 136,888 | 518 | ||
| Waiters/waitresses assistants | 443 | 3: Female | 127,851 | 527 | ||
| Waiters/waitresses assistants | 443 | 4: White | 198,354 | 751 | ||
| Waiters/waitresses assistants | 443 | 5: Black | 45,895 | 217 | ||
| Waiters/waitresses assistants | 443 | 6: Other | 20,490 | 77 | ||
| Waiters/waitresses assistants | 443 | 7: Hispanic | 57,751 | 219 | ||
| Waiters/waitresses assistants | 443 | 8: NonHispanic | 206,988 | 826 | ||
| Miscellaneous food preparation occs | 444 | 1: Total | 501,893 | 2037 | ||
| Miscellaneous food preparation occs | 444 | 2: Male | 215,820 | 828 | ||
| Miscellaneous food preparation occs | 444 | 3: Female | 286,073 | 1209 | ||
| Miscellaneous food preparation occs | 444 | 4: White | 370,694 | 1446 | ||
| Miscellaneous food preparation occs | 444 | 5: Black | 99,163 | 483 | ||
| Miscellaneous food preparation occs | 444 | 6: Other | 32,036 | 108 | ||
| Miscellaneous food preparation occs | 444 | 7: Hispanic | 84,834 | 344 | ||
| Miscellaneous food preparation occs | 444 | 8: NonHispanic | 417,059 | 1693 | ||
| Dental assistants | 445 | 1: Total | 176,208 | 693 | ||
| Dental assistants | 445 | 2: Male | 2,344 | 10 | ||
| Dental assistants | 445 | 3: Female | 173,864 | 683 | ||
| Dental assistants | 445 | 4: White | 158,379 | 624 | ||
| Dental assistants | 445 | 5: Black | 9,318 | 37 | ||
| Dental assistants | 445 | 6: Other | 8,511 | 32 | ||
| Dental assistants | 445 | 7: Hispanic | 14,666 | 55 | ||
| Dental assistants | 445 | 8: NonHispanic | 161,542 | 638 | ||
| Health aides, except nursing | 446 | 1: Total | 333,037 | 1368 | ||
| Health aides, except nursing | 446 | 2: Male | 51,970 | 207 | ||
| Health aides, except nursing | 446 | 3: Female | 281,067 | 1161 | ||
| Health aides, except nursing | 446 | 4: White | 257,471 | 1007 | ||
| Health aides, except nursing | 446 | 5: Black | 61,364 | 307 | ||
| Health aides, except nursing | 446 | 6: Other | 14,202 | 54 | ||
| Health aides, except nursing | 446 | 7: Hispanic | 28,147 | 111 | ||
| Health aides, except nursing | 446 | 8: NonHispanic | 304,890 | 1257 | ||
| Nursing aides, orderlies, and attendants | 447 | 1: Total | 1,477,561 | 6447 | ||
| Nursing aides, orderlies, and attendants | 447 | 2: Male | 153,470 | 603 | ||
| Nursing aides, orderlies, and attendants | 447 | 3: Female | 1,324,091 | 5844 | ||
| Nursing aides, orderlies, and attendants | 447 | 4: White | 961,155 | 3846 | ||
| Nursing aides, orderlies, and attendants | 447 | 5: Black | 458,338 | 2377 | ||
| Nursing aides, orderlies, and attendants | 447 | 6: Other | 58,068 | 224 | ||
| Nursing aides, orderlies, and attendants | 447 | 7: Hispanic | 114,207 | 466 | ||
| Nursing aides, orderlies, and attendants | 447 | 8: NonHispanic | 1,363,354 | 5981 | ||
| Supervisors, cleaning and building service workers | 448 | 1: Total | 159,703 | 661 | ||
| Supervisors, cleaning and building service workers | 448 | 2: Male | 105,146 | 404 | ||
| Supervisors, cleaning and building service workers | 448 | 3: Female | 54,556 | 257 | ||
| Supervisors, cleaning and building service workers | 448 | 4: White | 114,658 | 446 | ||
| Supervisors, cleaning and building service workers | 448 | 5: Black | 38,557 | 192 | ||
| Supervisors, cleaning and building service workers | 448 | 6: Other | 6,487 | 23 | ||
| Supervisors, cleaning and building service workers | 448 | 7: Hispanic | 16,618 | 66 | ||
| Supervisors, cleaning and building service workers | 448 | 8: NonHispanic | 143,085 | 595 | ||
| Maids and housemen | 449 | 1: Total | 551,376 | 2366 | ||
| Maids and housemen | 449 | 2: Male | 96,994 | 388 | ||
| Maids and housemen | 449 | 3: Female | 454,381 | 1978 | ||
| Maids and housemen | 449 | 4: White | 354,519 | 1409 | ||
| Maids and housemen | 449 | 5: Black | 163,377 | 835 | ||
| Maids and housemen | 449 | 6: Other | 33,480 | 122 | ||
| Maids and housemen | 449 | 7: Hispanic | 92,528 | 367 | ||
| Maids and housemen | 449 | 8: NonHispanic | 458,848 | 1999 | ||
| Janitors and cleaners | 453 | 1: Total | 2,067,101 | 8601 | ||
| Janitors and cleaners | 453 | 2: Male | 1,409,633 | 5744 | ||
| Janitors and cleaners | 453 | 3: Female | 657,468 | 2857 | ||
| Janitors and cleaners | 453 | 4: White | 1,517,278 | 5982 | ||
| Janitors and cleaners | 453 | 5: Black | 459,686 | 2303 | ||
| Janitors and cleaners | 453 | 6: Other | 90,137 | 316 | ||
| Janitors and cleaners | 453 | 7: Hispanic | 282,343 | 1123 | ||
| Janitors and cleaners | 453 | 8: NonHispanic | 1,784,758 | 7478 | ||
| Hairdressers and cosmetologists | 458 | 1: Total | 741,546 | 2972 | ||
| Hairdressers and cosmetologists | 458 | 2: Male | 68,233 | 264 | ||
| Hairdressers and cosmetologists | 458 | 3: Female | 673,312 | 2708 | ||
| Hairdressers and cosmetologists | 458 | 4: White | 648,508 | 2544 | ||
| Hairdressers and cosmetologists | 458 | 5: Black | 60,742 | 306 | ||
| Hairdressers and cosmetologists | 458 | 6: Other | 32,296 | 122 | ||
| Hairdressers and cosmetologists | 458 | 7: Hispanic | 51,330 | 192 | ||
| Hairdressers and cosmetologists | 458 | 8: NonHispanic | 690,216 | 2780 | ||
| Attendants, amusement and recreation facilities | 459 | 1: Total | 120,428 | 442 | ||
| Attendants, amusement and recreation facilities | 459 | 2: Male | 77,155 | 277 | ||
| Attendants, amusement and recreation facilities | 459 | 3: Female | 43,272 | 165 | ||
| Attendants, amusement and recreation facilities | 459 | 4: White | 102,381 | 374 | ||
| Attendants, amusement and recreation facilities | 459 | 5: Black | 9,840 | 42 | ||
| Attendants, amusement and recreation facilities | 459 | 6: Other | 8,206 | 26 | ||
| Attendants, amusement and recreation facilities | 459 | 7: Hispanic | 6,990 | 28 | ||
| Attendants, amusement and recreation facilities | 459 | 8: NonHispanic | 113,438 | 414 | ||
| Child care workers | 468 | 1: Total | 855,757 | 3537 | ||
| Child care workers | 468 | 2: Male | 30,500 | 117 | ||
| Child care workers | 468 | 3: Female | 825,256 | 3420 | ||
| Child care workers | 468 | 4: White | 724,662 | 2892 | ||
| Child care workers | 468 | 5: Black | 110,510 | 567 | ||
| Child care workers | 468 | 6: Other | 20,585 | 78 | ||
| Child care workers | 468 | 7: Hispanic | 65,679 | 268 | ||
| Child care workers | 468 | 8: NonHispanic | 790,077 | 3269 | ||
| Personal service occs, ne.c. | 469 | 1: Total | 222,426 | 894 | ||
| Personal service occs, ne.c. | 469 | 2: Male | 71,762 | 277 | ||
| Personal service occs, ne.c. | 469 | 3: Female | 150,664 | 617 | ||
| Personal service occs, ne.c. | 469 | 4: White | 177,821 | 675 | ||
| Personal service occs, ne.c. | 469 | 5: Black | 36,056 | 185 | ||
| Personal service occs, ne.c. | 469 | 6: Other | 8,548 | 34 | ||
| Personal service occs, ne.c. | 469 | 7: Hispanic | 24,343 | 94 | ||
| Personal service occs, ne.c. | 469 | 8: NonHispanic | 198,082 | 800 | ||
| Farmers, except horticultural | 473 | 1: Total | 1,166,644 | 4899 | ||
| Farmers, except horticultural | 473 | 2: Male | 975,641 | 4077 | ||
| Farmers, except horticultural | 473 | 3: Female | 191,002 | 822 | ||
| Farmers, except horticultural | 473 | 4: White | 1,139,195 | 4792 | ||
| Farmers, except horticultural | 473 | 5: Black | 18,651 | 71 | ||
| Farmers, except horticultural | 473 | 6: Other | 8,798 | 36 | ||
| Farmers, except horticultural | 473 | 7: Hispanic | 22,847 | 88 | ||
| Farmers, except horticultural | 473 | 8: NonHispanic | 1,143,797 | 4811 | ||
| Managers, farms, except horticultural | 475 | 1: Total | 167,631 | 692 | ||
| Managers, farms, except horticultural | 475 | 2: Male | 139,372 | 568 | ||
| Managers, farms, except horticultural | 475 | 3: Female | 28,260 | 124 | ||
| Managers, farms, except horticultural | 475 | 4: White | 161,151 | 670 | ||
| Managers, farms, except horticultural | 475 | 5: Black | 4,473 | 14 | ||
| Managers, farms, except horticultural | 475 | 6: Other | 2,007 | 8 | ||
| Managers, farms, except horticultural | 475 | 7: Hispanic | 12,531 | 52 | ||
| Managers, farms, except horticultural | 475 | 8: NonHispanic | 155,100 | 640 | ||
| Farm workers | 479 | 1: Total | 686,987 | 2811 | ||
| Farm workers | 479 | 2: Male | 544,374 | 2210 | ||
| Farm workers | 479 | 3: Female | 142,613 | 601 | ||
| Farm workers | 479 | 4: White | 626,954 | 2559 | ||
| Farm workers | 479 | 5: Black | 50,321 | 209 | ||
| Farm workers | 479 | 6: Other | 9,712 | 43 | ||
| Farm workers | 479 | 7: Hispanic | 198,614 | 791 | ||
| Farm workers | 479 | 8: NonHispanic | 488,373 | 2020 | ||
| Supervisors, related agricultural occs | 485 | 1: Total | 100,868 | 385 | ||
| Supervisors, related agricultural occs | 485 | 2: Male | 92,700 | 352 | ||
| Supervisors, related agricultural occs | 485 | 3: Female | 8,168 | 33 | ||
| Supervisors, related agricultural occs | 485 | 4: White | 90,024 | 344 | ||
| Supervisors, related agricultural occs | 485 | 5: Black | 8,543 | 33 | ||
| Supervisors, related agricultural occs | 485 | 6: Other | 2,301 | 8 | ||
| Supervisors, related agricultural occs | 485 | 7: Hispanic | 11,614 | 44 | ||
| Supervisors, related agricultural occs | 485 | 8: NonHispanic | 89,254 | 341 | ||
| Groundskeepers and gardeners, except farm | 486 | 1: Total | 632,818 | 2502 | ||
| Groundskeepers and gardeners, except farm | 486 | 2: Male | 588,437 | 2322 | ||
| Groundskeepers and gardeners, except farm | 486 | 3: Female | 44,381 | 180 | ||
| Groundskeepers and gardeners, except farm | 486 | 4: White | 525,323 | 2022 | ||
| Groundskeepers and gardeners, except farm | 486 | 5: Black | 87,800 | 409 | ||
| Groundskeepers and gardeners, except farm | 486 | 6: Other | 19,695 | 71 | ||
| Groundskeepers and gardeners, except farm | 486 | 7: Hispanic | 117,128 | 464 | ||
| Groundskeepers and gardeners, except farm | 486 | 8: NonHispanic | 515,690 | 2038 | ||
| Timber cutting and logging occs | 496 | 1: Total | 104,819 | 398 | ||
| Timber cutting and logging occs | 496 | 2: Male | 101,439 | 384 | ||
| Timber cutting and logging occs | 496 | 3: Female | 3,379 | 14 | ||
| Timber cutting and logging occs | 496 | 4: White | 89,520 | 337 | ||
| Timber cutting and logging occs | 496 | 5: Black | 14,842 | 59 | ||
| Timber cutting and logging occs | 496 | 6: Other | 456 | 2 | ||
| Timber cutting and logging occs | 496 | 7: Hispanic | 2,739 | 12 | ||
| Timber cutting and logging occs | 496 | 8: NonHispanic | 102,079 | 386 | ||
| Supervisors, mechanics and repairers | 503 | 1: Total | 282,895 | 1106 | ||
| Supervisors, mechanics and repairers | 503 | 2: Male | 265,131 | 1033 | ||
| Supervisors, mechanics and repairers | 503 | 3: Female | 17,764 | 73 | ||
| Supervisors, mechanics and repairers | 503 | 4: White | 261,524 | 1003 | ||
| Supervisors, mechanics and repairers | 503 | 5: Black | 14,507 | 78 | ||
| Supervisors, mechanics and repairers | 503 | 6: Other | 6,865 | 25 | ||
| Supervisors, mechanics and repairers | 503 | 7: Hispanic | 12,316 | 46 | ||
| Supervisors, mechanics and repairers | 503 | 8: NonHispanic | 270,579 | 1060 | ||
| Automobile mechanics | 505 | 1: Total | 924,831 | 3553 | ||
| Automobile mechanics | 505 | 2: Male | 911,752 | 3504 | ||
| Automobile mechanics | 505 | 3: Female | 13,079 | 49 | ||
| Automobile mechanics | 505 | 4: White | 823,872 | 3122 | ||
| Automobile mechanics | 505 | 5: Black | 74,283 | 335 | ||
| Automobile mechanics | 505 | 6: Other | 26,676 | 96 | ||
| Automobile mechanics | 505 | 7: Hispanic | 84,143 | 312 | ||
| Automobile mechanics | 505 | 8: NonHispanic | 840,688 | 3241 | ||
| Bus, truck, and stationary engine mechanics | 507 | 1: Total | 312,281 | 1208 | ||
| Bus, truck, and stationary engine mechanics | 507 | 2: Male | 309,444 | 1196 | ||
| Bus, truck, and stationary engine mechanics | 507 | 3: Female | 2,837 | 12 | ||
| Bus, truck, and stationary engine mechanics | 507 | 4: White | 279,594 | 1068 | ||
| Bus, truck, and stationary engine mechanics | 507 | 5: Black | 26,549 | 121 | ||
| Bus, truck, and stationary engine mechanics | 507 | 6: Other | 6,137 | 19 | ||
| Bus, truck, and stationary engine mechanics | 507 | 7: Hispanic | 21,696 | 83 | ||
| Bus, truck, and stationary engine mechanics | 507 | 8: NonHispanic | 290,585 | 1125 | ||
| Aircraft engine mechanics | 508 | 1: Total | 139,849 | 526 | ||
| Aircraft engine mechanics | 508 | 2: Male | 136,446 | 511 | ||
| Aircraft engine mechanics | 508 | 3: Female | 3,403 | 15 | ||
| Aircraft engine mechanics | 508 | 4: White | 119,200 | 442 | ||
| Aircraft engine mechanics | 508 | 5: Black | 13,166 | 59 | ||
| Aircraft engine mechanics | 508 | 6: Other | 7,483 | 25 | ||
| Aircraft engine mechanics | 508 | 7: Hispanic | 16,273 | 59 | ||
| Aircraft engine mechanics | 508 | 8: NonHispanic | 123,576 | 467 | ||
| Automobile body and related repairers | 514 | 1: Total | 194,183 | 751 | ||
| Automobile body and related repairers | 514 | 2: Male | 190,848 | 737 | ||
| Automobile body and related repairers | 514 | 3: Female | 3,336 | 14 | ||
| Automobile body and related repairers | 514 | 4: White | 180,530 | 686 | ||
| Automobile body and related repairers | 514 | 5: Black | 9,605 | 49 | ||
| Automobile body and related repairers | 514 | 6: Other | 4,048 | 16 | ||
| Automobile body and related repairers | 514 | 7: Hispanic | 18,112 | 71 | ||
| Automobile body and related repairers | 514 | 8: NonHispanic | 176,071 | 680 | ||
| Heavy equipment mechanics | 516 | 1: Total | 162,026 | 626 | ||
| Heavy equipment mechanics | 516 | 2: Male | 160,399 | 620 | ||
| Heavy equipment mechanics | 516 | 3: Female | 1,627 | 6 | ||
| Heavy equipment mechanics | 516 | 4: White | 148,046 | 570 | ||
| Heavy equipment mechanics | 516 | 5: Black | 10,117 | 45 | ||
| Heavy equipment mechanics | 516 | 6: Other | 3,863 | 11 | ||
| Heavy equipment mechanics | 516 | 7: Hispanic | 9,945 | 38 | ||
| Heavy equipment mechanics | 516 | 8: NonHispanic | 152,082 | 588 | ||
| Industrial machinery repairers | 518 | 1: Total | 423,173 | 1664 | ||
| Industrial machinery repairers | 518 | 2: Male | 407,439 | 1603 | ||
| Industrial machinery repairers | 518 | 3: Female | 15,734 | 61 | ||
| Industrial machinery repairers | 518 | 4: White | 378,313 | 1482 | ||
| Industrial machinery repairers | 518 | 5: Black | 35,436 | 147 | ||
| Industrial machinery repairers | 518 | 6: Other | 9,424 | 35 | ||
| Industrial machinery repairers | 518 | 7: Hispanic | 29,582 | 117 | ||
| Industrial machinery repairers | 518 | 8: NonHispanic | 393,591 | 1547 | ||
| Electronic repairers, communication/industrial equipment | 523 | 1: Total | 169,027 | 647 | ||
| Electronic repairers, communication/industrial equipment | 523 | 2: Male | 153,324 | 582 | ||
| Electronic repairers, communication/industrial equipment | 523 | 3: Female | 15,702 | 65 | ||
| Electronic repairers, communication/industrial equipment | 523 | 4: White | 142,679 | 540 | ||
| Electronic repairers, communication/industrial equipment | 523 | 5: Black | 21,472 | 89 | ||
| Electronic repairers, communication/industrial equipment | 523 | 6: Other | 4,875 | 18 | ||
| Electronic repairers, communication/industrial equipment | 523 | 7: Hispanic | 13,124 | 50 | ||
| Electronic repairers, communication/industrial equipment | 523 | 8: NonHispanic | 155,903 | 597 | ||
| Telephone installers and repairers | 529 | 1: Total | 162,838 | 644 | ||
| Telephone installers and repairers | 529 | 2: Male | 144,286 | 567 | ||
| Telephone installers and repairers | 529 | 3: Female | 18,552 | 77 | ||
| Telephone installers and repairers | 529 | 4: White | 144,681 | 571 | ||
| Telephone installers and repairers | 529 | 5: Black | 15,049 | 60 | ||
| Telephone installers and repairers | 529 | 6: Other | 3,108 | 13 | ||
| Telephone installers and repairers | 529 | 7: Hispanic | 12,142 | 47 | ||
| Telephone installers and repairers | 529 | 8: NonHispanic | 150,696 | 597 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 1: Total | 225,091 | 848 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 2: Male | 224,245 | 844 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 3: Female | 846 | 4 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 4: White | 208,347 | 785 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 5: Black | 11,777 | 46 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 6: Other | 4,968 | 17 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 7: Hispanic | 15,365 | 61 | ||
| Heating air conditioning, and refrigeration mechanics | 534 | 8: NonHispanic | 209,727 | 787 | ||
| Specified mechanics and repairers | 547 | 1: Total | 257,127 | 994 | ||
| Specified mechanics and repairers | 547 | 2: Male | 242,820 | 934 | ||
| Specified mechanics and repairers | 547 | 3: Female | 14,307 | 60 | ||
| Specified mechanics and repairers | 547 | 4: White | 227,503 | 874 | ||
| Specified mechanics and repairers | 547 | 5: Black | 19,706 | 85 | ||
| Specified mechanics and repairers | 547 | 6: Other | 9,917 | 35 | ||
| Specified mechanics and repairers | 547 | 7: Hispanic | 21,620 | 85 | ||
| Specified mechanics and repairers | 547 | 8: NonHispanic | 235,507 | 909 | ||
| Not specified mechanics and repairers | 549 | 1: Total | 254,196 | 982 | ||
| Not specified mechanics and repairers | 549 | 2: Male | 240,104 | 923 | ||
| Not specified mechanics and repairers | 549 | 3: Female | 14,091 | 59 | ||
| Not specified mechanics and repairers | 549 | 4: White | 218,993 | 841 | ||
| Not specified mechanics and repairers | 549 | 5: Black | 29,737 | 119 | ||
| Not specified mechanics and repairers | 549 | 6: Other | 5,465 | 22 | ||
| Not specified mechanics and repairers | 549 | 7: Hispanic | 20,810 | 81 | ||
| Not specified mechanics and repairers | 549 | 8: NonHispanic | 233,386 | 901 | ||
| Supervisors, construction | 558 | 1: Total | 509,017 | 1970 | ||
| Supervisors, construction | 558 | 2: Male | 501,602 | 1938 | ||
| Supervisors, construction | 558 | 3: Female | 7,415 | 32 | ||
| Supervisors, construction | 558 | 4: White | 477,148 | 1824 | ||
| Supervisors, construction | 558 | 5: Black | 23,959 | 116 | ||
| Supervisors, construction | 558 | 6: Other | 7,909 | 30 | ||
| Supervisors, construction | 558 | 7: Hispanic | 33,067 | 124 | ||
| Supervisors, construction | 558 | 8: NonHispanic | 475,950 | 1846 | ||
| Brickmasons and stonemasons | 563 | 1: Total | 179,883 | 699 | ||
| Brickmasons and stonemasons | 563 | 2: Male | 178,943 | 695 | ||
| Brickmasons and stonemasons | 563 | 3: Female | 940 | 4 | ||
| Brickmasons and stonemasons | 563 | 4: White | 151,238 | 574 | ||
| Brickmasons and stonemasons | 563 | 5: Black | 25,281 | 114 | ||
| Brickmasons and stonemasons | 563 | 6: Other | 3,363 | 11 | ||
| Brickmasons and stonemasons | 563 | 7: Hispanic | 15,571 | 61 | ||
| Brickmasons and stonemasons | 563 | 8: NonHispanic | 164,312 | 638 | ||
| Carpenters | 567 | 1: Total | 1,336,839 | 5112 | ||
| Carpenters | 567 | 2: Male | 1,320,133 | 5047 | ||
| Carpenters | 567 | 3: Female | 16,705 | 65 | ||
| Carpenters | 567 | 4: White | 1,234,330 | 4685 | ||
| Carpenters | 567 | 5: Black | 75,647 | 337 | ||
| Carpenters | 567 | 6: Other | 26,862 | 90 | ||
| Carpenters | 567 | 7: Hispanic | 102,190 | 388 | ||
| Carpenters | 567 | 8: NonHispanic | 1,234,649 | 4724 | ||
| Drywall installers | 573 | 1: Total | 137,655 | 512 | ||
| Drywall installers | 573 | 2: Male | 134,036 | 496 | ||
| Drywall installers | 573 | 3: Female | 3,619 | 16 | ||
| Drywall installers | 573 | 4: White | 123,513 | 458 | ||
| Drywall installers | 573 | 5: Black | 9,959 | 42 | ||
| Drywall installers | 573 | 6: Other | 4,183 | 12 | ||
| Drywall installers | 573 | 7: Hispanic | 23,712 | 81 | ||
| Drywall installers | 573 | 8: NonHispanic | 113,944 | 431 | ||
| Electricians | 575 | 1: Total | 626,998 | 2416 | ||
| Electricians | 575 | 2: Male | 615,184 | 2364 | ||
| Electricians | 575 | 3: Female | 11,815 | 52 | ||
| Electricians | 575 | 4: White | 574,256 | 2187 | ||
| Electricians | 575 | 5: Black | 33,466 | 158 | ||
| Electricians | 575 | 6: Other | 19,276 | 71 | ||
| Electricians | 575 | 7: Hispanic | 40,665 | 159 | ||
| Electricians | 575 | 8: NonHispanic | 586,333 | 2257 | ||
| Painters, construction and maintenance | 579 | 1: Total | 495,214 | 1918 | ||
| Painters, construction and maintenance | 579 | 2: Male | 461,048 | 1784 | ||
| Painters, construction and maintenance | 579 | 3: Female | 34,166 | 134 | ||
| Painters, construction and maintenance | 579 | 4: White | 439,798 | 1667 | ||
| Painters, construction and maintenance | 579 | 5: Black | 43,566 | 208 | ||
| Painters, construction and maintenance | 579 | 6: Other | 11,850 | 43 | ||
| Painters, construction and maintenance | 579 | 7: Hispanic | 70,062 | 264 | ||
| Painters, construction and maintenance | 579 | 8: NonHispanic | 425,152 | 1654 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 1: Total | 419,839 | 1623 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 2: Male | 414,524 | 1599 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 3: Female | 5,314 | 24 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 4: White | 380,160 | 1458 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 5: Black | 32,057 | 138 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 6: Other | 7,622 | 27 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 7: Hispanic | 30,643 | 116 | ||
| Plumbers, pipefitters, and steamfitters | 585 | 8: NonHispanic | 389,196 | 1507 | ||
| Roofers | 595 | 1: Total | 158,847 | 613 | ||
| Roofers | 595 | 2: Male | 156,840 | 605 | ||
| Roofers | 595 | 3: Female | 2,007 | 8 | ||
| Roofers | 595 | 4: White | 139,456 | 530 | ||
| Roofers | 595 | 5: Black | 14,822 | 66 | ||
| Roofers | 595 | 6: Other | 4,569 | 17 | ||
| Roofers | 595 | 7: Hispanic | 22,136 | 91 | ||
| Roofers | 595 | 8: NonHispanic | 136,711 | 522 | ||
| Construction trades, nec. | 599 | 1: Total | 169,750 | 662 | ||
| Construction trades, nec. | 599 | 2: Male | 167,215 | 651 | ||
| Construction trades, nec. | 599 | 3: Female | 2,535 | 11 | ||
| Construction trades, nec. | 599 | 4: White | 149,659 | 570 | ||
| Construction trades, nec. | 599 | 5: Black | 17,411 | 81 | ||
| Construction trades, nec. | 599 | 6: Other | 2,680 | 11 | ||
| Construction trades, nec. | 599 | 7: Hispanic | 17,771 | 70 | ||
| Construction trades, nec. | 599 | 8: NonHispanic | 151,980 | 592 | ||
| Supervisors, production occs | 628 | 1: Total | 1,092,668 | 4333 | ||
| Supervisors, production occs | 628 | 2: Male | 914,717 | 3581 | ||
| Supervisors, production occs | 628 | 3: Female | 177,951 | 752 | ||
| Supervisors, production occs | 628 | 4: White | 972,493 | 3811 | ||
| Supervisors, production occs | 628 | 5: Black | 94,927 | 425 | ||
| Supervisors, production occs | 628 | 6: Other | 25,248 | 97 | ||
| Supervisors, production occs | 628 | 7: Hispanic | 81,072 | 322 | ||
| Supervisors, production occs | 628 | 8: NonHispanic | 1,011,596 | 4011 | ||
| Tool and die makers | 634 | 1: Total | 143,231 | 551 | ||
| Tool and die makers | 634 | 2: Male | 140,484 | 540 | ||
| Tool and die makers | 634 | 3: Female | 2,747 | 11 | ||
| Tool and die makers | 634 | 4: White | 138,039 | 528 | ||
| Tool and die makers | 634 | 5: Black | 2,693 | 13 | ||
| Tool and die makers | 634 | 6: Other | 2,499 | 10 | ||
| Tool and die makers | 634 | 7: Hispanic | 3,410 | 14 | ||
| Tool and die makers | 634 | 8: NonHispanic | 139,821 | 537 | ||
| Machinists | 637 | 1: Total | 522,513 | 2049 | ||
| Machinists | 637 | 2: Male | 499,347 | 1949 | ||
| Machinists | 637 | 3: Female | 23,166 | 100 | ||
| Machinists | 637 | 4: White | 479,828 | 1856 | ||
| Machinists | 637 | 5: Black | 27,803 | 132 | ||
| Machinists | 637 | 6: Other | 14,883 | 61 | ||
| Machinists | 637 | 7: Hispanic | 34,779 | 135 | ||
| Machinists | 637 | 8: NonHispanic | 487,734 | 1914 | ||
| Sheet metal workers | 653 | 1: Total | 143,964 | 549 | ||
| Sheet metal workers | 653 | 2: Male | 133,631 | 505 | ||
| Sheet metal workers | 653 | 3: Female | 10,332 | 44 | ||
| Sheet metal workers | 653 | 4: White | 129,086 | 487 | ||
| Sheet metal workers | 653 | 5: Black | 9,795 | 45 | ||
| Sheet metal workers | 653 | 6: Other | 5,082 | 17 | ||
| Sheet metal workers | 653 | 7: Hispanic | 9,645 | 39 | ||
| Sheet metal workers | 653 | 8: NonHispanic | 134,318 | 510 | ||
| Dressmakers | 666 | 1: Total | 123,787 | 499 | ||
| Dressmakers | 666 | 2: Male | 7,254 | 29 | ||
| Dressmakers | 666 | 3: Female | 116,533 | 470 | ||
| Dressmakers | 666 | 4: White | 98,967 | 392 | ||
| Dressmakers | 666 | 5: Black | 11,937 | 60 | ||
| Dressmakers | 666 | 6: Other | 12,883 | 47 | ||
| Dressmakers | 666 | 7: Hispanic | 16,560 | 66 | ||
| Dressmakers | 666 | 8: NonHispanic | 107,227 | 433 | ||
| Electrical/electronic equipment assemblers | 683 | 1: Total | 230,284 | 921 | ||
| Electrical/electronic equipment assemblers | 683 | 2: Male | 71,527 | 279 | ||
| Electrical/electronic equipment assemblers | 683 | 3: Female | 158,757 | 642 | ||
| Electrical/electronic equipment assemblers | 683 | 4: White | 177,005 | 688 | ||
| Electrical/electronic equipment assemblers | 683 | 5: Black | 27,767 | 130 | ||
| Electrical/electronic equipment assemblers | 683 | 6: Other | 25,511 | 103 | ||
| Electrical/electronic equipment assemblers | 683 | 7: Hispanic | 43,150 | 151 | ||
| Electrical/electronic equipment assemblers | 683 | 8: NonHispanic | 187,134 | 770 | ||
| Butchers and meat cutters | 686 | 1: Total | 213,405 | 844 | ||
| Butchers and meat cutters | 686 | 2: Male | 170,028 | 660 | ||
| Butchers and meat cutters | 686 | 3: Female | 43,376 | 184 | ||
| Butchers and meat cutters | 686 | 4: White | 169,041 | 652 | ||
| Butchers and meat cutters | 686 | 5: Black | 30,558 | 142 | ||
| Butchers and meat cutters | 686 | 6: Other | 13,805 | 50 | ||
| Butchers and meat cutters | 686 | 7: Hispanic | 24,788 | 101 | ||
| Butchers and meat cutters | 686 | 8: NonHispanic | 188,617 | 743 | ||
| Bakers | 687 | 1: Total | 128,093 | 499 | ||
| Bakers | 687 | 2: Male | 72,067 | 275 | ||
| Bakers | 687 | 3: Female | 56,026 | 224 | ||
| Bakers | 687 | 4: White | 104,895 | 408 | ||
| Bakers | 687 | 5: Black | 13,101 | 58 | ||
| Bakers | 687 | 6: Other | 10,096 | 33 | ||
| Bakers | 687 | 7: Hispanic | 17,322 | 63 | ||
| Bakers | 687 | 8: NonHispanic | 110,771 | 436 | ||
| Inspectors, testers, and graders | 689 | 1: Total | 137,766 | 542 | ||
| Inspectors, testers, and graders | 689 | 2: Male | 102,203 | 400 | ||
| Inspectors, testers, and graders | 689 | 3: Female | 35,562 | 142 | ||
| Inspectors, testers, and graders | 689 | 4: White | 116,868 | 453 | ||
| Inspectors, testers, and graders | 689 | 5: Black | 13,777 | 64 | ||
| Inspectors, testers, and graders | 689 | 6: Other | 7,121 | 25 | ||
| Inspectors, testers, and graders | 689 | 7: Hispanic | 7,815 | 33 | ||
| Inspectors, testers, and graders | 689 | 8: NonHispanic | 129,951 | 509 | ||
| Stationary engineers | 696 | 1: Total | 149,560 | 593 | ||
| Stationary engineers | 696 | 2: Male | 144,091 | 570 | ||
| Stationary engineers | 696 | 3: Female | 5,468 | 23 | ||
| Stationary engineers | 696 | 4: White | 131,075 | 508 | ||
| Stationary engineers | 696 | 5: Black | 13,386 | 65 | ||
| Stationary engineers | 696 | 6: Other | 5,098 | 20 | ||
| Stationary engineers | 696 | 7: Hispanic | 7,371 | 23 | ||
| Stationary engineers | 696 | 8: NonHispanic | 142,189 | 570 | ||
| Punching and stamping press machine operators | 706 | 1: Total | 126,355 | 503 | ||
| Punching and stamping press machine operators | 706 | 2: Male | 89,818 | 353 | ||
| Punching and stamping press machine operators | 706 | 3: Female | 36,536 | 150 | ||
| Punching and stamping press machine operators | 706 | 4: White | 112,659 | 435 | ||
| Punching and stamping press machine operators | 706 | 5: Black | 12,003 | 61 | ||
| Punching and stamping press machine operators | 706 | 6: Other | 1,693 | 7 | ||
| Punching and stamping press machine operators | 706 | 7: Hispanic | 12,198 | 50 | ||
| Punching and stamping press machine operators | 706 | 8: NonHispanic | 114,156 | 453 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 1: Total | 121,344 | 493 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 2: Male | 99,658 | 407 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 3: Female | 21,686 | 86 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 4: White | 105,584 | 419 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 5: Black | 13,419 | 64 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 6: Other | 2,341 | 10 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 7: Hispanic | 15,410 | 58 | ||
| Grinding/abrading/buffing/polishing machine operators | 709 | 8: NonHispanic | 105,934 | 435 | ||
| Molding and casting machine operators | 719 | 1: Total | 103,758 | 412 | ||
| Molding and casting machine operators | 719 | 2: Male | 76,325 | 300 | ||
| Molding and casting machine operators | 719 | 3: Female | 27,432 | 112 | ||
| Molding and casting machine operators | 719 | 4: White | 86,981 | 340 | ||
| Molding and casting machine operators | 719 | 5: Black | 14,078 | 61 | ||
| Molding and casting machine operators | 719 | 6: Other | 2,699 | 11 | ||
| Molding and casting machine operators | 719 | 7: Hispanic | 11,795 | 44 | ||
| Molding and casting machine operators | 719 | 8: NonHispanic | 91,963 | 368 | ||
| Printing press operators | 734 | 1: Total | 323,661 | 1233 | ||
| Printing press operators | 734 | 2: Male | 274,255 | 1026 | ||
| Printing press operators | 734 | 3: Female | 49,407 | 207 | ||
| Printing press operators | 734 | 4: White | 284,389 | 1066 | ||
| Printing press operators | 734 | 5: Black | 26,343 | 122 | ||
| Printing press operators | 734 | 6: Other | 12,929 | 45 | ||
| Printing press operators | 734 | 7: Hispanic | 29,482 | 109 | ||
| Printing press operators | 734 | 8: NonHispanic | 294,180 | 1124 | ||
| Textile sewing machine operators | 744 | 1: Total | 656,092 | 2719 | ||
| Textile sewing machine operators | 744 | 2: Male | 65,258 | 257 | ||
| Textile sewing machine operators | 744 | 3: Female | 590,833 | 2462 | ||
| Textile sewing machine operators | 744 | 4: White | 475,318 | 1900 | ||
| Textile sewing machine operators | 744 | 5: Black | 125,913 | 600 | ||
| Textile sewing machine operators | 744 | 6: Other | 54,860 | 219 | ||
| Textile sewing machine operators | 744 | 7: Hispanic | 125,255 | 519 | ||
| Textile sewing machine operators | 744 | 8: NonHispanic | 530,836 | 2200 | ||
| Pressing machine operators | 747 | 1: Total | 131,707 | 568 | ||
| Pressing machine operators | 747 | 2: Male | 48,482 | 201 | ||
| Pressing machine operators | 747 | 3: Female | 83,225 | 367 | ||
| Pressing machine operators | 747 | 4: White | 89,223 | 349 | ||
| Pressing machine operators | 747 | 5: Black | 35,105 | 189 | ||
| Pressing machine operators | 747 | 6: Other | 7,379 | 30 | ||
| Pressing machine operators | 747 | 7: Hispanic | 21,240 | 94 | ||
| Pressing machine operators | 747 | 8: NonHispanic | 110,467 | 474 | ||
| Laundering and dry cleaning machine operators | 748 | 1: Total | 174,095 | 734 | ||
| Laundering and dry cleaning machine operators | 748 | 2: Male | 70,523 | 281 | ||
| Laundering and dry cleaning machine operators | 748 | 3: Female | 103,572 | 453 | ||
| Laundering and dry cleaning machine operators | 748 | 4: White | 127,444 | 501 | ||
| Laundering and dry cleaning machine operators | 748 | 5: Black | 37,646 | 201 | ||
| Laundering and dry cleaning machine operators | 748 | 6: Other | 9,005 | 32 | ||
| Laundering and dry cleaning machine operators | 748 | 7: Hispanic | 26,935 | 108 | ||
| Laundering and dry cleaning machine operators | 748 | 8: NonHispanic | 147,160 | 626 | ||
| Packaging and filling machine operators | 754 | 1: Total | 381,818 | 1556 | ||
| Packaging and filling machine operators | 754 | 2: Male | 143,451 | 551 | ||
| Packaging and filling machine operators | 754 | 3: Female | 238,367 | 1005 | ||
| Packaging and filling machine operators | 754 | 4: White | 300,360 | 1197 | ||
| Packaging and filling machine operators | 754 | 5: Black | 61,369 | 287 | ||
| Packaging and filling machine operators | 754 | 6: Other | 20,088 | 72 | ||
| Packaging and filling machine operators | 754 | 7: Hispanic | 81,690 | 326 | ||
| Packaging and filling machine operators | 754 | 8: NonHispanic | 300,127 | 1230 | ||
| Mixing and blending machine operators | 756 | 1: Total | 123,593 | 491 | ||
| Mixing and blending machine operators | 756 | 2: Male | 108,557 | 430 | ||
| Mixing and blending machine operators | 756 | 3: Female | 15,036 | 61 | ||
| Mixing and blending machine operators | 756 | 4: White | 101,261 | 389 | ||
| Mixing and blending machine operators | 756 | 5: Black | 20,328 | 94 | ||
| Mixing and blending machine operators | 756 | 6: Other | 2,005 | 8 | ||
| Mixing and blending machine operators | 756 | 7: Hispanic | 15,189 | 64 | ||
| Mixing and blending machine operators | 756 | 8: NonHispanic | 108,403 | 427 | ||
| Painting and paint spraying machine operators | 759 | 1: Total | 184,736 | 734 | ||
| Painting and paint spraying machine operators | 759 | 2: Male | 157,929 | 621 | ||
| Painting and paint spraying machine operators | 759 | 3: Female | 26,807 | 113 | ||
| Painting and paint spraying machine operators | 759 | 4: White | 152,631 | 595 | ||
| Painting and paint spraying machine operators | 759 | 5: Black | 24,561 | 111 | ||
| Painting and paint spraying machine operators | 759 | 6: Other | 7,544 | 28 | ||
| Painting and paint spraying machine operators | 759 | 7: Hispanic | 31,543 | 126 | ||
| Painting and paint spraying machine operators | 759 | 8: NonHispanic | 153,193 | 608 | ||
| Slicing and cutting machine operators | 769 | 1: Total | 204,112 | 821 | ||
| Slicing and cutting machine operators | 769 | 2: Male | 144,479 | 570 | ||
| Slicing and cutting machine operators | 769 | 3: Female | 59,633 | 251 | ||
| Slicing and cutting machine operators | 769 | 4: White | 163,199 | 641 | ||
| Slicing and cutting machine operators | 769 | 5: Black | 31,649 | 146 | ||
| Slicing and cutting machine operators | 769 | 6: Other | 9,264 | 34 | ||
| Slicing and cutting machine operators | 769 | 7: Hispanic | 31,205 | 119 | ||
| Slicing and cutting machine operators | 769 | 8: NonHispanic | 172,907 | 702 | ||
| Miscellaneous machine operators | 777 | 1: Total | 912,207 | 3648 | ||
| Miscellaneous machine operators | 777 | 2: Male | 629,255 | 2457 | ||
| Miscellaneous machine operators | 777 | 3: Female | 282,952 | 1191 | ||
| Miscellaneous machine operators | 777 | 4: White | 728,381 | 2831 | ||
| Miscellaneous machine operators | 777 | 5: Black | 148,646 | 678 | ||
| Miscellaneous machine operators | 777 | 6: Other | 35,180 | 139 | ||
| Miscellaneous machine operators | 777 | 7: Hispanic | 117,840 | 466 | ||
| Miscellaneous machine operators | 777 | 8: NonHispanic | 794,367 | 3182 | ||
| Machine operators, not specified | 779 | 1: Total | 528,820 | 2122 | ||
| Machine operators, not specified | 779 | 2: Male | 362,688 | 1427 | ||
| Machine operators, not specified | 779 | 3: Female | 166,133 | 695 | ||
| Machine operators, not specified | 779 | 4: White | 425,180 | 1672 | ||
| Machine operators, not specified | 779 | 5: Black | 84,933 | 383 | ||
| Machine operators, not specified | 779 | 6: Other | 18,707 | 67 | ||
| Machine operators, not specified | 779 | 7: Hispanic | 55,980 | 217 | ||
| Machine operators, not specified | 779 | 8: NonHispanic | 472,840 | 1905 | ||
| Welders and cutters | 783 | 1: Total | 597,287 | 2341 | ||
| Welders and cutters | 783 | 2: Male | 570,138 | 2229 | ||
| Welders and cutters | 783 | 3: Female | 27,148 | 112 | ||
| Welders and cutters | 783 | 4: White | 523,193 | 2032 | ||
| Welders and cutters | 783 | 5: Black | 56,454 | 245 | ||
| Welders and cutters | 783 | 6: Other | 17,640 | 64 | ||
| Welders and cutters | 783 | 7: Hispanic | 65,552 | 256 | ||
| Welders and cutters | 783 | 8: NonHispanic | 531,734 | 2085 | ||
| Assemblers | 785 | 1: Total | 1,026,023 | 4153 | ||
| Assemblers | 785 | 2: Male | 553,313 | 2189 | ||
| Assemblers | 785 | 3: Female | 472,709 | 1964 | ||
| Assemblers | 785 | 4: White | 828,216 | 3268 | ||
| Assemblers | 785 | 5: Black | 149,750 | 694 | ||
| Assemblers | 785 | 6: Other | 48,057 | 191 | ||
| Assemblers | 785 | 7: Hispanic | 119,226 | 488 | ||
| Assemblers | 785 | 8: NonHispanic | 906,797 | 3665 | ||
| Production inspectors, checkers, and examiners | 796 | 1: Total | 571,665 | 2306 | ||
| Production inspectors, checkers, and examiners | 796 | 2: Male | 259,447 | 1011 | ||
| Production inspectors, checkers, and examiners | 796 | 3: Female | 312,218 | 1295 | ||
| Production inspectors, checkers, and examiners | 796 | 4: White | 465,378 | 1836 | ||
| Production inspectors, checkers, and examiners | 796 | 5: Black | 82,496 | 374 | ||
| Production inspectors, checkers, and examiners | 796 | 6: Other | 23,790 | 96 | ||
| Production inspectors, checkers, and examiners | 796 | 7: Hispanic | 55,311 | 220 | ||
| Production inspectors, checkers, and examiners | 796 | 8: NonHispanic | 516,354 | 2086 | ||
| Graders and sorters, except agricultural | 799 | 1: Total | 125,068 | 529 | ||
| Graders and sorters, except agricultural | 799 | 2: Male | 51,576 | 209 | ||
| Graders and sorters, except agricultural | 799 | 3: Female | 73,492 | 320 | ||
| Graders and sorters, except agricultural | 799 | 4: White | 94,950 | 388 | ||
| Graders and sorters, except agricultural | 799 | 5: Black | 23,863 | 116 | ||
| Graders and sorters, except agricultural | 799 | 6: Other | 6,254 | 25 | ||
| Graders and sorters, except agricultural | 799 | 7: Hispanic | 29,707 | 125 | ||
| Graders and sorters, except agricultural | 799 | 8: NonHispanic | 95,361 | 404 | ||
| Truck drivers | 804 | 1: Total | 2,640,585 | 10449 | ||
| Truck drivers | 804 | 2: Male | 2,528,749 | 9987 | ||
| Truck drivers | 804 | 3: Female | 111,836 | 462 | ||
| Truck drivers | 804 | 4: White | 2,232,215 | 8690 | ||
| Truck drivers | 804 | 5: Black | 356,271 | 1567 | ||
| Truck drivers | 804 | 6: Other | 52,099 | 192 | ||
| Truck drivers | 804 | 7: Hispanic | 207,490 | 784 | ||
| Truck drivers | 804 | 8: NonHispanic | 2,433,095 | 9665 | ||
| Driver-sales workers | 806 | 1: Total | 146,319 | 570 | ||
| Driver-sales workers | 806 | 2: Male | 131,897 | 509 | ||
| Driver-sales workers | 806 | 3: Female | 14,422 | 61 | ||
| Driver-sales workers | 806 | 4: White | 135,799 | 525 | ||
| Driver-sales workers | 806 | 5: Black | 7,422 | 33 | ||
| Driver-sales workers | 806 | 6: Other | 3,098 | 12 | ||
| Driver-sales workers | 806 | 7: Hispanic | 9,755 | 37 | ||
| Driver-sales workers | 806 | 8: NonHispanic | 136,564 | 533 | ||
| Bus drivers | 808 | 1: Total | 437,321 | 1845 | ||
| Bus drivers | 808 | 2: Male | 223,457 | 939 | ||
| Bus drivers | 808 | 3: Female | 213,865 | 906 | ||
| Bus drivers | 808 | 4: White | 322,937 | 1283 | ||
| Bus drivers | 808 | 5: Black | 103,439 | 521 | ||
| Bus drivers | 808 | 6: Other | 10,945 | 41 | ||
| Bus drivers | 808 | 7: Hispanic | 28,360 | 114 | ||
| Bus drivers | 808 | 8: NonHispanic | 408,961 | 1731 | ||
| Taxicab drivers and chauffeurs | 809 | 1: Total | 198,640 | 777 | ||
| Taxicab drivers and chauffeurs | 809 | 2: Male | 173,020 | 669 | ||
| Taxicab drivers and chauffeurs | 809 | 3: Female | 25,620 | 108 | ||
| Taxicab drivers and chauffeurs | 809 | 4: White | 132,486 | 504 | ||
| Taxicab drivers and chauffeurs | 809 | 5: Black | 48,374 | 213 | ||
| Taxicab drivers and chauffeurs | 809 | 6: Other | 17,779 | 60 | ||
| Taxicab drivers and chauffeurs | 809 | 7: Hispanic | 21,138 | 77 | ||
| Taxicab drivers and chauffeurs | 809 | 8: NonHispanic | 177,502 | 700 | ||
| Operating engineers | 844 | 1: Total | 253,326 | 986 | ||
| Operating engineers | 844 | 2: Male | 247,849 | 968 | ||
| Operating engineers | 844 | 3: Female | 5,477 | 18 | ||
| Operating engineers | 844 | 4: White | 225,841 | 870 | ||
| Operating engineers | 844 | 5: Black | 20,881 | 89 | ||
| Operating engineers | 844 | 6: Other | 6,605 | 27 | ||
| Operating engineers | 844 | 7: Hispanic | 14,692 | 60 | ||
| Operating engineers | 844 | 8: NonHispanic | 238,634 | 926 | ||
| Industrial truck and tractor equipment operators | 856 | 1: Total | 450,241 | 1816 | ||
| Industrial truck and tractor equipment operators | 856 | 2: Male | 424,058 | 1704 | ||
| Industrial truck and tractor equipment operators | 856 | 3: Female | 26,183 | 112 | ||
| Industrial truck and tractor equipment operators | 856 | 4: White | 355,429 | 1404 | ||
| Industrial truck and tractor equipment operators | 856 | 5: Black | 87,722 | 386 | ||
| Industrial truck and tractor equipment operators | 856 | 6: Other | 7,090 | 26 | ||
| Industrial truck and tractor equipment operators | 856 | 7: Hispanic | 50,177 | 200 | ||
| Industrial truck and tractor equipment operators | 856 | 8: NonHispanic | 400,064 | 1616 | ||
| Miscellaneous material moving equipment operators | 859 | 1: Total | 117,109 | 456 | ||
| Miscellaneous material moving equipment operators | 859 | 2: Male | 98,087 | 377 | ||
| Miscellaneous material moving equipment operators | 859 | 3: Female | 19,023 | 79 | ||
| Miscellaneous material moving equipment operators | 859 | 4: White | 96,955 | 372 | ||
| Miscellaneous material moving equipment operators | 859 | 5: Black | 16,993 | 72 | ||
| Miscellaneous material moving equipment operators | 859 | 6: Other | 3,161 | 12 | ||
| Miscellaneous material moving equipment operators | 859 | 7: Hispanic | 9,740 | 38 | ||
| Miscellaneous material moving equipment operators | 859 | 8: NonHispanic | 107,369 | 418 | ||
| Construction laborers | 869 | 1: Total | 697,191 | 2707 | ||
| Construction laborers | 869 | 2: Male | 676,315 | 2625 | ||
| Construction laborers | 869 | 3: Female | 20,877 | 82 | ||
| Construction laborers | 869 | 4: White | 585,900 | 2216 | ||
| Construction laborers | 869 | 5: Black | 97,045 | 440 | ||
| Construction laborers | 869 | 6: Other | 14,246 | 51 | ||
| Construction laborers | 869 | 7: Hispanic | 111,458 | 427 | ||
| Construction laborers | 869 | 8: NonHispanic | 585,733 | 2280 | ||
| Stock handlers and baggers | 877 | 1: Total | 650,044 | 2534 | ||
| Stock handlers and baggers | 877 | 2: Male | 449,704 | 1724 | ||
| Stock handlers and baggers | 877 | 3: Female | 200,340 | 810 | ||
| Stock handlers and baggers | 877 | 4: White | 550,640 | 2113 | ||
| Stock handlers and baggers | 877 | 5: Black | 77,266 | 345 | ||
| Stock handlers and baggers | 877 | 6: Other | 22,138 | 76 | ||
| Stock handlers and baggers | 877 | 7: Hispanic | 66,614 | 257 | ||
| Stock handlers and baggers | 877 | 8: NonHispanic | 583,430 | 2277 | ||
| Freight, stock, and material handlers, nec. | 883 | 1: Total | 571,810 | 2235 | ||
| Freight, stock, and material handlers, nec. | 883 | 2: Male | 508,323 | 1967 | ||
| Freight, stock, and material handlers, nec. | 883 | 3: Female | 63,486 | 268 | ||
| Freight, stock, and material handlers, nec. | 883 | 4: White | 450,810 | 1724 | ||
| Freight, stock, and material handlers, nec. | 883 | 5: Black | 105,087 | 455 | ||
| Freight, stock, and material handlers, nec. | 883 | 6: Other | 15,913 | 56 | ||
| Freight, stock, and material handlers, nec. | 883 | 7: Hispanic | 50,866 | 194 | ||
| Freight, stock, and material handlers, nec. | 883 | 8: NonHispanic | 520,944 | 2041 | ||
| Garage and service station related occs | 885 | 1: Total | 158,092 | 611 | ||
| Garage and service station related occs | 885 | 2: Male | 147,764 | 571 | ||
| Garage and service station related occs | 885 | 3: Female | 10,328 | 40 | ||
| Garage and service station related occs | 885 | 4: White | 138,660 | 517 | ||
| Garage and service station related occs | 885 | 5: Black | 16,431 | 83 | ||
| Garage and service station related occs | 885 | 6: Other | 3,002 | 11 | ||
| Garage and service station related occs | 885 | 7: Hispanic | 18,420 | 65 | ||
| Garage and service station related occs | 885 | 8: NonHispanic | 139,673 | 546 | ||
| Vehicle washers and equipment cleaners | 887 | 1: Total | 167,519 | 676 | ||
| Vehicle washers and equipment cleaners | 887 | 2: Male | 147,892 | 590 | ||
| Vehicle washers and equipment cleaners | 887 | 3: Female | 19,627 | 86 | ||
| Vehicle washers and equipment cleaners | 887 | 4: White | 125,081 | 483 | ||
| Vehicle washers and equipment cleaners | 887 | 5: Black | 38,325 | 176 | ||
| Vehicle washers and equipment cleaners | 887 | 6: Other | 4,113 | 17 | ||
| Vehicle washers and equipment cleaners | 887 | 7: Hispanic | 23,866 | 90 | ||
| Vehicle washers and equipment cleaners | 887 | 8: NonHispanic | 143,653 | 586 | ||
| Hand packers and packagers | 888 | 1: Total | 245,670 | 1009 | ||
| Hand packers and packagers | 888 | 2: Male | 87,741 | 349 | ||
| Hand packers and packagers | 888 | 3: Female | 157,929 | 660 | ||
| Hand packers and packagers | 888 | 4: White | 195,457 | 779 | ||
| Hand packers and packagers | 888 | 5: Black | 38,411 | 185 | ||
| Hand packers and packagers | 888 | 6: Other | 11,801 | 45 | ||
| Hand packers and packagers | 888 | 7: Hispanic | 36,892 | 147 | ||
| Hand packers and packagers | 888 | 8: NonHispanic | 208,778 | 862 | ||
| Laborers, except construction | 889 | 1: Total | 1,250,422 | 5004 | ||
| Laborers, except construction | 889 | 2: Male | 981,803 | 3858 | ||
| Laborers, except construction | 889 | 3: Female | 268,620 | 1146 | ||
| Laborers, except construction | 889 | 4: White | 994,022 | 3872 | ||
| Laborers, except construction | 889 | 5: Black | 216,372 | 984 | ||
| Laborers, except construction | 889 | 6: Other | 40,029 | 148 | ||
| Laborers, except construction | 889 | 7: Hispanic | 138,228 | 543 | ||
| Laborers, except construction | 889 | 8: NonHispanic | 1,112,194 | 4461 | ||