Table 9. Prevalence of Self Reported Health by 206 Occupations
Health Status
  Occupation 206 Classes Group Sample Size Population Estimates Estimated Prevalence of 'Excellent' Self-rated Health Standard Error of "Excellent" Estimated Prevalence of 'Very Good' Self-rated Health Standard Error of "Very Good" Estimated Prevalence of 'Good' Self-rated Health Standard Error of "Good" Estimated Prevalence of  'Fair' Self-rated Health Standard Error of "Fair" Estimated Prevalence of 'Poor' Self-rated  Health Standard Error of "Poor"
5 Administrators/officials, public administration 1: Total 1,737 434,916 41.89 1.29 33.34 1.12 20.27 1.14 3.83 0.53 0.67 0.25
5 Administrators/officials, public administration 2: Male 917 237,832 43.76 2.18 34.37 1.75 17.73 1.59 3.37 0.62 0.77 0.38
5 Administrators/officials, public administration 3: Female 820 197,084 39.63 1.62 32.10 1.63 23.35 1.56 4.38 0.88 0.54 0.24
5 Administrators/officials, public administration 4: White 1,490 377,045 43.08 1.27 33.67 1.14 18.60 1.10 3.95 0.57 0.71 0.29
5 Administrators/officials, public administration 5: Black 184 40,408 36.56 3.90 28.71 4.35 32.54 3.93 2.18 1.15 0.00 0.00
5 Administrators/officials, public administration 6: Other 63 17,464 28.50 5.71 36.83 8.09 28.47 5.34 4.96 3.25 1.25 1.30
5 Administrators/officials, public administration 7: Hispanic 75 19,368 23.33 4.20 41.21 6.14 27.88 7.05 6.36 2.68 1.22 1.22
5 Administrators/officials, public administration 8: NonHispanic 1,662 415,549 42.75 1.29 32.98 1.11 19.92 1.09 3.71 0.51 0.64 0.26
7 Financial managers 1: Total 2,050 516,489 48.99 1.11 32.94 0.92 15.82 0.72 1.95 0.30 0.31 0.12
7 Financial managers 2: Male 1,122 290,553 51.78 1.54 32.46 1.42 13.85 1.02 1.52 0.37 0.40 0.21
7 Financial managers 3: Female 928 225,936 45.40 1.80 33.57 1.49 18.35 1.38 2.50 0.53 0.18 0.13
7 Financial managers 4: White 1,866 470,184 50.03 1.15 33.08 0.96 14.50 0.73 2.05 0.32 0.34 0.14
7 Financial managers 5: Black 116 27,663 38.60 4.79 32.55 4.77 28.24 4.24 0.60 0.61 0.00 0.00
7 Financial managers 6: Other 68 18,642 37.81 5.93 30.19 5.67 30.79 7.14 1.21 1.27 0.00 0.00
7 Financial managers 7: Hispanic 93 23,398 44.60 4.96 36.74 4.32 16.04 3.71 1.80 1.23 0.83 0.85
7 Financial managers 8: NonHispanic 1,957 493,091 49.20 1.18 32.76 0.95 15.81 0.78 1.95 0.31 0.28 0.13
8 Personnel and labor relations managers 1: Total 569 145,879 50.33 2.25 32.39 2.07 14.37 1.64 2.48 0.77 0.43 0.25
8 Personnel and labor relations managers 2: Male 272 70,491 50.90 3.31 33.20 3.22 12.79 2.39 2.79 1.29 0.32 0.32
8 Personnel and labor relations managers 3: Female 297 75,389 49.78 3.15 31.64 2.85 15.85 2.07 2.19 0.88 0.54 0.38
8 Personnel and labor relations managers 4: White 514 133,270 50.72 2.29 32.82 2.12 13.58 1.60 2.40 0.80 0.47 0.28
8 Personnel and labor relations managers 5: Black 45 9,918 42.67 6.65 33.09 6.10 20.08 6.23 4.16 3.01 0.00 0.00
8 Personnel and labor relations managers 6: Other 10 2,691 59.19 15.49 8.64 8.26 32.17 14.67 0.00 0.00 0.00 0.00
8 Personnel and labor relations managers 7: Hispanic 19 4,976 36.59 14.28 45.86 12.94 13.47 7.90 4.07 3.93 0.00 0.00
8 Personnel and labor relations managers 8: NonHispanic 550 140,903 50.81 2.25 31.92 2.09 14.40 1.60 2.42 0.78 0.45 0.26
9 Purchasing managers 1: Total 479 122,582 44.73 2.61 37.65 2.75 14.72 1.98 2.44 0.61 0.46 0.26
9 Purchasing managers 2: Male 305 80,853 47.66 3.14 36.83 3.42 12.54 2.08 2.64 0.73 0.34 0.33
9 Purchasing managers 3: Female 174 41,729 39.06 3.92 39.25 3.61 18.95 3.27 2.05 0.94 0.69 0.68
9 Purchasing managers 4: White 424 108,587 43.70 2.82 39.29 2.95 14.28 1.97 2.21 0.59 0.51 0.29
9 Purchasing managers 5: Black 41 10,684 54.17 8.48 18.65 7.46 21.67 7.64 5.51 3.48 0.00 0.00
9 Purchasing managers 6: Other 14 3,311 48.01 14.01 45.13 13.34 6.85 6.84 0.00 0.00 0.00 0.00
9 Purchasing managers 7: Hispanic 7 1,684 15.37 13.93 26.89 16.17 27.97 16.53 29.77 15.30 0.00 0.00
9 Purchasing managers 8: NonHispanic 472 120,898 45.14 2.61 37.80 2.75 14.54 1.94 2.06 0.58 0.46 0.26
13 Managers/marketing/advertising/PR 1: Total 2,502 637,557 50.52 1.08 32.95 0.97 14.03 0.70 2.11 0.29 0.40 0.15
13 Managers/marketing/advertising/PR 2: Male 1,694 435,903 51.38 1.19 32.89 1.16 13.07 0.78 2.13 0.35 0.53 0.21
13 Managers/marketing/advertising/PR 3: Female 808 201,654 48.66 1.95 33.07 1.87 16.09 1.32 2.06 0.49 0.12 0.12
13 Managers/marketing/advertising/PR 4: White 2,358 598,994 51.26 1.11 32.45 0.98 13.78 0.73 2.08 0.30 0.43 0.16
13 Managers/marketing/advertising/PR 5: Black 95 24,634 39.99 5.91 37.81 5.97 21.19 4.09 1.01 1.01 0.00 0.00
13 Managers/marketing/advertising/PR 6: Other 49 13,929 37.28 7.75 45.68 6.90 12.10 4.78 4.94 2.51 0.00 0.00
13 Managers/marketing/advertising/PR 7: Hispanic 90 24,947 51.03 5.25 31.54 4.56 15.57 4.72 1.86 1.35 0.00 0.00
13 Managers/marketing/advertising/PR 8: NonHispanic 2,412 612,611 50.50 1.11 33.00 0.96 13.97 0.72 2.12 0.30 0.42 0.15
14 Administrators, education and related fields 1: Total 2,131 532,733 50.39 1.41 30.81 1.14 15.78 0.93 2.65 0.39 0.37 0.13
14 Administrators, education and related fields 2: Male 980 250,290 53.12 1.85 30.70 1.53 14.42 1.30 1.63 0.43 0.13 0.09
14 Administrators, education and related fields 3: Female 1,151 282,442 47.96 1.74 30.91 1.60 16.99 1.14 3.55 0.61 0.59 0.24
14 Administrators, education and related fields 4: White 1,832 463,963 52.64 1.48 29.80 1.19 14.74 0.94 2.59 0.43 0.24 0.11
14 Administrators, education and related fields 5: Black 261 58,624 33.76 3.66 38.45 3.25 23.45 3.13 2.83 1.00 1.51 0.86
14 Administrators, education and related fields 6: Other 38 10,146 43.28 8.67 32.86 7.93 19.51 5.81 4.35 4.23 0.00 0.00
14 Administrators, education and related fields 7: Hispanic 82 20,122 41.38 5.43 32.36 5.61 20.67 5.03 5.59 2.19 0.00 0.00
14 Administrators, education and related fields 8: NonHispanic 2,049 512,610 50.74 1.39 30.75 1.15 15.59 0.92 2.53 0.38 0.39 0.14
15 Managers, medicine and health 1: Total 1,009 257,406 46.36 1.76 32.28 1.37 16.60 1.35 4.07 0.67 0.70 0.33
15 Managers, medicine and health 2: Male 309 80,541 51.37 3.12 28.98 2.77 13.95 2.04 4.63 1.32 1.08 0.49
15 Managers, medicine and health 3: Female 700 176,865 44.07 1.98 33.78 1.76 17.80 1.68 3.82 0.76 0.53 0.42
15 Managers, medicine and health 4: White 870 225,557 47.27 1.83 32.51 1.47 16.11 1.43 3.51 0.68 0.60 0.36
15 Managers, medicine and health 5: Black 110 24,524 40.21 4.82 30.27 4.90 21.61 4.31 6.09 2.30 1.83 1.23
15 Managers, medicine and health 6: Other 29 7,325 38.82 8.70 31.78 8.42 14.87 7.05 14.54 7.05 0.00 0.00
15 Managers, medicine and health 7: Hispanic 43 11,755 38.50 9.12 22.77 6.08 34.95 8.36 3.78 2.63 0.00 0.00
15 Managers, medicine and health 8: NonHispanic 966 245,651 46.73 1.78 32.73 1.45 15.72 1.33 4.09 0.67 0.73 0.34
18 Managers, properties and real estate 1: Total 1,655 424,823 40.84 1.23 28.52 1.26 23.00 1.18 5.77 0.54 1.87 0.36
18 Managers, properties and real estate 2: Male 881 228,170 43.87 1.62 27.18 1.46 21.60 1.32 5.07 0.79 2.28 0.51
18 Managers, properties and real estate 3: Female 774 196,652 37.28 1.90 30.09 1.98 24.63 1.83 6.59 0.86 1.40 0.45
18 Managers, properties and real estate 4: White 1,482 384,861 41.73 1.28 27.91 1.31 22.66 1.18 5.67 0.56 2.03 0.40
18 Managers, properties and real estate 5: Black 135 29,675 36.77 5.73 31.93 5.18 27.24 4.60 3.60 1.77 0.47 0.46
18 Managers, properties and real estate 6: Other 38 10,286 19.06 6.68 41.52 7.78 23.60 7.52 15.82 6.45 0.00 0.00
18 Managers, properties and real estate 7: Hispanic 97 24,180 37.27 5.59 31.48 5.05 22.01 5.46 7.47 3.62 1.76 1.22
18 Managers, properties and real estate 8: NonHispanic 1,558 400,643 41.05 1.24 28.34 1.30 23.06 1.22 5.67 0.58 1.88 0.37
22 Managers and administrators 1: Total 33,553 8,609,388 46.61 0.36 31.08 0.33 18.16 0.24 3.58 0.11 0.57 0.04
22 Managers and administrators 2: Male 22,108 5,760,962 48.63 0.44 30.44 0.38 16.99 0.28 3.39 0.12 0.55 0.05
22 Managers and administrators 3: Female 11,445 2,848,426 42.53 0.47 32.36 0.47 20.53 0.41 3.97 0.20 0.62 0.08
22 Managers and administrators 4: White 30,560 7,891,127 47.17 0.38 31.15 0.35 17.69 0.24 3.43 0.12 0.55 0.04
22 Managers and administrators 5: Black 1,917 437,418 39.26 1.49 29.86 1.22 24.30 1.35 5.76 0.73 0.83 0.21
22 Managers and administrators 6: Other 1,076 280,842 42.36 1.88 30.86 1.55 21.67 1.44 4.38 0.53 0.74 0.28
22 Managers and administrators 7: Hispanic 1,622 424,777 41.05 1.20 30.40 1.30 22.72 0.93 5.20 0.59 0.63 0.26
22 Managers and administrators 8: NonHispanic 31,931 8,184,610 46.90 0.37 31.11 0.34 17.92 0.25 3.50 0.11 0.57 0.04
23 Accountants and auditors 1: Total 5,647 1,449,425 48.73 0.71 31.10 0.62 16.67 0.53 3.12 0.23 0.37 0.09
23 Accountants and auditors 2: Male 2,633 700,754 53.21 0.96 29.36 0.93 14.69 0.75 2.38 0.29 0.36 0.12
23 Accountants and auditors 3: Female 3,014 748,671 44.54 0.94 32.74 0.79 18.53 0.72 3.82 0.37 0.38 0.12
23 Accountants and auditors 4: White 4,865 1,258,209 49.86 0.76 31.41 0.72 15.55 0.56 2.83 0.23 0.36 0.10
23 Accountants and auditors 5: Black 466 106,603 40.29 2.42 30.09 2.00 24.50 2.08 4.34 1.26 0.78 0.42
23 Accountants and auditors 6: Other 316 84,613 42.66 3.79 27.76 2.81 23.57 2.44 6.01 1.37 0.00 0.00
23 Accountants and auditors 7: Hispanic 269 69,340 44.50 3.06 28.08 2.61 23.73 2.51 3.09 0.68 0.60 0.60
23 Accountants and auditors 8: NonHispanic 5,378 1,380,086 48.94 0.71 31.25 0.63 16.32 0.53 3.12 0.24 0.36 0.09
25 Other financial officers 1: Total 2,856 727,887 49.71 0.94 30.17 0.81 17.34 0.73 2.38 0.32 0.39 0.11
25 Other financial officers 2: Male 1,436 375,925 53.77 1.32 28.22 1.16 15.53 0.97 2.25 0.39 0.23 0.12
25 Other financial officers 3: Female 1,420 351,962 45.39 1.26 32.25 1.19 19.28 1.08 2.53 0.43 0.55 0.20
25 Other financial officers 4: White 2,558 655,800 50.57 1.00 29.87 0.89 16.94 0.78 2.22 0.28 0.40 0.12
25 Other financial officers 5: Black 191 44,236 40.41 3.53 34.18 3.29 20.91 3.06 3.99 1.59 0.52 0.52
25 Other financial officers 6: Other 107 27,850 44.40 4.70 30.85 4.80 21.00 4.01 3.75 2.84 0.00 0.00
25 Other financial officers 7: Hispanic 152 41,048 50.86 4.66 29.65 3.95 16.56 2.65 2.93 1.26 0.00 0.00
25 Other financial officers 8: NonHispanic 2,704 686,838 49.65 0.97 30.20 0.84 17.39 0.77 2.35 0.33 0.41 0.12
26 Management analysts 1: Total 823 207,706 50.67 1.71 32.45 1.81 13.56 1.21 3.00 0.57 0.32 0.19
26 Management analysts 2: Male 530 137,577 51.72 2.18 31.67 2.09 13.72 1.55 2.56 0.65 0.33 0.24
26 Management analysts 3: Female 293 70,129 48.61 3.08 33.99 3.19 13.25 1.82 3.84 1.19 0.30 0.30
26 Management analysts 4: White 749 190,942 51.48 1.79 32.12 1.95 13.04 1.25 3.01 0.59 0.35 0.20
26 Management analysts 5: Black 48 9,673 42.23 7.10 27.96 6.05 25.63 7.33 4.19 4.10 0.00 0.00
26 Management analysts 6: Other 26 7,090 40.02 9.65 47.64 9.77 11.34 6.10 1.00 1.03 0.00 0.00
26 Management analysts 7: Hispanic 26 6,690 49.60 9.81 29.37 8.44 17.59 7.70 3.44 3.41 0.00 0.00
26 Management analysts 8: NonHispanic 797 201,016 50.70 1.75 32.56 1.85 13.43 1.29 2.98 0.56 0.33 0.19
27 Personnel/training/labor relations specialists 1: Total 1,707 429,136 44.11 1.17 33.40 1.11 18.70 0.95 3.58 0.44 0.22 0.11
27 Personnel/training/labor relations specialists 2: Male 714 184,738 45.10 2.05 31.54 1.85 19.39 1.33 3.68 0.76 0.29 0.21
27 Personnel/training/labor relations specialists 3: Female 993 244,398 43.36 1.57 34.80 1.67 18.17 1.20 3.50 0.58 0.17 0.12
27 Personnel/training/labor relations specialists 4: White 1,448 368,799 45.58 1.22 32.80 1.13 18.21 1.01 3.14 0.46 0.26 0.13
27 Personnel/training/labor relations specialists 5: Black 219 50,123 36.90 3.61 35.30 3.24 21.91 3.41 5.89 1.49 0.00 0.00
27 Personnel/training/labor relations specialists 6: Other 40 10,214 26.40 8.03 45.36 9.32 20.35 6.97 7.90 3.88 0.00 0.00
27 Personnel/training/labor relations specialists 7: Hispanic 89 23,144 31.70 4.89 37.57 4.42 24.57 5.29 5.10 3.08 1.06 1.06
27 Personnel/training/labor relations specialists 8: NonHispanic 1,618 405,992 44.82 1.19 33.16 1.14 18.36 0.96 3.49 0.43 0.17 0.10
29 Buyers, wholesale/retail trade except farm products 1: Total 736 191,990 46.36 1.95 31.45 1.87 17.42 1.33 4.43 0.91 0.34 0.19
29 Buyers, wholesale/retail trade except farm products 2: Male 323 84,773 49.09 2.96 29.89 2.82 16.07 2.31 4.43 1.31 0.52 0.36
29 Buyers, wholesale/retail trade except farm products 3: Female 413 107,217 44.21 2.67 32.67 2.58 18.49 1.84 4.43 1.31 0.20 0.20
29 Buyers, wholesale/retail trade except farm products 4: White 698 182,261 45.77 1.92 32.06 1.86 17.30 1.37 4.52 0.94 0.36 0.20
29 Buyers, wholesale/retail trade except farm products 5: Black 24 5,199 50.51 10.77 21.27 9.45 23.34 9.21 4.88 3.55 0.00 0.00
29 Buyers, wholesale/retail trade except farm products 6: Other 14 4,530 67.15 15.11 17.35 10.36 15.50 11.05 0.00 0.00 0.00 0.00
29 Buyers, wholesale/retail trade except farm products 7: Hispanic 42 11,166 56.73 7.65 24.15 7.11 16.94 5.16 2.19 2.16 0.00 0.00
29 Buyers, wholesale/retail trade except farm products 8: NonHispanic 694 180,824 45.72 2.01 31.90 1.92 17.45 1.35 4.57 0.90 0.36 0.21
33 Purchasing agents and buyers 1: Total 1,007 260,021 39.96 1.55 35.71 1.68 21.33 1.38 2.45 0.42 0.55 0.22
33 Purchasing agents and buyers 2: Male 523 135,805 41.58 2.46 35.35 2.53 20.25 1.83 2.46 0.69 0.36 0.25
33 Purchasing agents and buyers 3: Female 484 124,216 38.19 2.35 36.11 2.23 22.50 1.90 2.45 0.67 0.75 0.37
33 Purchasing agents and buyers 4: White 920 240,255 41.28 1.66 35.49 1.79 20.20 1.41 2.56 0.47 0.47 0.21
33 Purchasing agents and buyers 5: Black 73 16,511 22.31 4.77 38.60 5.72 36.00 6.01 1.32 1.31 1.78 1.77
33 Purchasing agents and buyers 6: Other 14 3,255 32.70 10.80 37.19 14.66 30.11 11.69 0.00 0.00 0.00 0.00
33 Purchasing agents and buyers 7: Hispanic 41 11,359 48.09 8.62 33.61 9.45 18.30 6.76 0.00 0.00 0.00 0.00
33 Purchasing agents and buyers 8: NonHispanic 966 248,662 39.59 1.56 35.81 1.69 21.47 1.39 2.56 0.44 0.57 0.23
36 Inspectors/compliance officers, except construction 1: Total 713 183,364 37.22 1.83 33.45 1.89 24.50 1.54 4.55 0.78 0.27 0.19
36 Inspectors/compliance officers, except construction 2: Male 487 126,705 39.81 2.31 30.96 2.25 24.82 1.95 4.22 0.89 0.18 0.18
36 Inspectors/compliance officers, except construction 3: Female 226 56,659 31.40 3.72 39.06 4.23 23.79 3.02 5.29 1.70 0.47 0.47
36 Inspectors/compliance officers, except construction 4: White 595 155,299 37.51 2.01 33.45 1.91 24.02 1.70 4.71 0.89 0.32 0.22
36 Inspectors/compliance officers, except construction 5: Black 99 22,404 36.47 5.38 33.22 5.18 25.72 4.51 4.60 1.92 0.00 0.00
36 Inspectors/compliance officers, except construction 6: Other 19 5,661 32.48 7.19 34.41 14.99 33.11 12.88 0.00 0.00 0.00 0.00
36 Inspectors/compliance officers, except construction 7: Hispanic 45 12,274 43.09 7.09 22.43 5.47 26.94 6.10 7.53 3.45 0.00 0.00
36 Inspectors/compliance officers, except construction 8: NonHispanic 668 171,090 36.80 1.95 34.25 2.06 24.33 1.70 4.34 0.80 0.29 0.20
37 Management related occs 1: Total 1,476 371,203 43.12 1.44 36.14 1.46 17.79 0.98 2.42 0.42 0.54 0.21
37 Management related occs 2: Male 216 57,908 43.67 3.49 37.12 3.57 16.29 2.52 2.44 1.14 0.50 0.49
37 Management related occs 3: Female 1,260 313,295 43.01 1.53 35.96 1.55 18.07 1.07 2.41 0.47 0.55 0.19
37 Management related occs 4: White 1,244 319,117 44.06 1.59 36.39 1.61 17.05 1.08 2.21 0.44 0.29 0.15
37 Management related occs 5: Black 171 36,745 33.27 4.07 35.16 3.87 24.00 2.88 4.62 1.76 2.95 1.33
37 Management related occs 6: Other 61 15,341 46.96 6.94 33.30 6.76 18.32 4.05 1.42 1.42 0.00 0.00
37 Management related occs 7: Hispanic 84 21,261 33.19 5.98 44.70 6.38 18.85 5.07 3.25 1.87 0.00 0.00
37 Management related occs 8: NonHispanic 1,392 349,942 43.71 1.45 35.63 1.44 17.73 0.95 2.37 0.43 0.57 0.22
43 Architects 1: Total 680 176,710 53.95 2.28 29.28 1.96 13.64 1.36 2.38 0.57 0.75 0.29
43 Architects 2: Male 587 153,567 54.71 2.36 28.74 2.11 13.40 1.45 2.46 0.61 0.70 0.29
43 Architects 3: Female 93 23,143 48.93 6.06 32.84 5.58 15.26 4.21 1.91 1.87 1.06 1.06
43 Architects 4: White 623 162,108 54.51 2.30 30.10 2.12 12.64 1.43 2.03 0.58 0.72 0.31
43 Architects 5: Black 24 6,366 54.41 9.47 20.24 8.22 18.93 7.89 4.16 4.01 2.26 2.26
43 Architects 6: Other 33 8,236 42.59 7.82 20.23 6.78 29.16 9.34 8.01 4.02 0.00 0.00
43 Architects 7: Hispanic 50 12,774 36.79 7.31 36.19 7.53 21.49 6.82 5.53 2.75 0.00 0.00
43 Architects 8: NonHispanic 630 163,936 55.29 2.32 28.74 1.96 13.03 1.49 2.14 0.61 0.80 0.31
44 Aerospace 1: Total 452 115,384 49.64 3.02 31.33 2.41 15.18 2.01 3.03 0.91 0.83 0.48
44 Aerospace 2: Male 425 108,773 50.00 2.88 31.39 2.56 14.52 1.87 3.21 0.97 0.88 0.51
44 Aerospace 3: Female 27 6,612 43.65 11.35 30.36 8.73 25.99 10.59 0.00 0.00 0.00 0.00
44 Aerospace 4: White 408 104,395 51.06 2.71 31.31 2.65 14.15 2.02 2.56 0.80 0.92 0.53
44 Aerospace 5: Black 11 2,570 21.75 14.36 31.47 13.36 43.19 15.84 3.59 4.04 0.00 0.00
44 Aerospace 6: Other 33 8,418 40.66 13.71 31.48 6.81 19.29 9.88 8.57 4.74 0.00 0.00
44 Aerospace 7: Hispanic 13 3,735 68.56 11.80 25.61 11.19 5.83 5.66 0.00 0.00 0.00 0.00
44 Aerospace 8: NonHispanic 439 111,649 49.00 3.08 31.52 2.47 15.49 2.06 3.13 0.94 0.86 0.49
53 Civil 1: Total 1,015 264,614 50.95 1.64 30.45 1.57 15.79 1.17 2.65 0.54 0.16 0.11
53 Civil 2: Male 952 248,854 51.61 1.73 30.51 1.64 14.98 1.14 2.73 0.57 0.17 0.12
53 Civil 3: Female 63 15,759 40.67 6.48 29.51 5.24 28.56 6.30 1.26 1.23 0.00 0.00
53 Civil 4: White 897 233,004 51.22 1.70 30.76 1.63 15.39 1.13 2.45 0.56 0.18 0.13
53 Civil 5: Black 43 11,165 48.61 9.21 24.51 6.30 26.88 6.79 0.00 0.00 0.00 0.00
53 Civil 6: Other 75 20,444 49.25 6.08 30.16 5.44 14.29 4.06 6.31 3.07 0.00 0.00
53 Civil 7: Hispanic 48 13,090 61.20 8.65 19.80 6.13 15.74 5.12 3.26 2.11 0.00 0.00
53 Civil 8: NonHispanic 967 251,524 50.42 1.67 31.00 1.57 15.79 1.18 2.61 0.56 0.17 0.12
55 Electrical and electronic 1: Total 2,274 592,715 49.67 1.06 33.50 0.97 14.43 0.82 2.28 0.32 0.12 0.07
55 Electrical and electronic 2: Male 2,075 543,197 50.02 1.06 33.43 0.99 14.10 0.81 2.37 0.33 0.08 0.06
55 Electrical and electronic 3: Female 199 49,518 45.87 3.96 34.26 3.64 18.13 3.16 1.26 0.65 0.48 0.47
55 Electrical and electronic 4: White 1,989 518,640 51.30 1.13 33.03 1.01 13.78 0.82 1.78 0.32 0.11 0.08
55 Electrical and electronic 5: Black 109 28,944 40.73 5.04 41.47 4.96 10.85 3.13 6.48 2.20 0.47 0.48
55 Electrical and electronic 6: Other 176 45,131 36.67 3.97 33.79 3.99 24.24 3.25 5.31 1.82 0.00 0.00
55 Electrical and electronic 7: Hispanic 82 20,764 42.36 5.51 34.85 5.53 18.38 4.31 3.27 1.89 1.14 1.14
55 Electrical and electronic 8: NonHispanic 2,192 571,951 49.94 1.08 33.45 0.99 14.29 0.82 2.24 0.33 0.08 0.06
56 Industrial 1: Total 920 234,775 48.14 1.78 33.27 1.66 16.29 1.27 2.04 0.44 0.26 0.16
56 Industrial 2: Male 781 200,847 48.89 1.95 32.22 1.75 17.08 1.41 1.57 0.46 0.24 0.17
56 Industrial 3: Female 139 33,928 43.72 4.29 39.42 4.13 11.60 2.55 4.83 1.88 0.43 0.43
56 Industrial 4: White 824 210,888 49.39 1.89 32.56 1.75 15.87 1.37 1.96 0.42 0.22 0.16
56 Industrial 5: Black 52 11,813 40.15 6.96 36.05 6.03 20.49 5.13 2.08 1.51 1.23 1.23
56 Industrial 6: Other 44 12,074 34.28 6.35 42.88 8.86 19.30 6.96 3.54 2.49 0.00 0.00
56 Industrial 7: Hispanic 26 7,319 26.99 7.75 30.24 12.03 42.76 11.84 0.00 0.00 0.00 0.00
56 Industrial 8: NonHispanic 894 227,456 48.82 1.82 33.37 1.80 15.43 1.37 2.11 0.45 0.27 0.16
57 Mechanical 1: Total 1,255 330,773 52.86 1.48 30.85 1.33 13.67 0.95 1.92 0.39 0.70 0.27
57 Mechanical 2: Male 1,196 315,885 53.29 1.50 30.51 1.34 13.54 0.99 2.01 0.41 0.64 0.27
57 Mechanical 3: Female 59 14,888 43.84 6.62 37.88 6.55 16.45 3.97 0.00 0.00 1.83 1.79
57 Mechanical 4: White 1,121 293,040 53.12 1.50 30.99 1.32 13.54 0.99 1.71 0.37 0.63 0.28
57 Mechanical 5: Black 51 15,201 50.71 7.08 24.63 7.03 15.67 5.13 9.00 4.44 0.00 0.00
57 Mechanical 6: Other 83 22,532 50.90 5.06 33.10 5.10 14.01 3.51 0.00 0.00 1.99 1.43
57 Mechanical 7: Hispanic 35 9,655 71.99 7.20 19.44 6.92 5.01 3.43 3.56 3.51 0.00 0.00
57 Mechanical 8: NonHispanic 1,220 321,118 52.29 1.52 31.19 1.37 13.93 0.96 1.87 0.39 0.72 0.28
59 Engineers 1: Total 1,081 285,379 50.37 1.77 33.70 1.51 13.64 1.14 2.12 0.47 0.17 0.12
59 Engineers 2: Male 987 262,140 50.76 1.77 33.34 1.51 13.48 1.15 2.23 0.52 0.19 0.13
59 Engineers 3: Female 94 23,239 46.07 5.49 37.72 5.42 15.37 3.68 0.84 0.81 0.00 0.00
59 Engineers 4: White 956 254,567 51.64 1.75 33.12 1.60 13.25 1.15 1.80 0.47 0.19 0.14
59 Engineers 5: Black 38 9,368 33.26 8.63 44.18 8.14 12.01 4.46 10.55 5.55 0.00 0.00
59 Engineers 6: Other 87 21,444 42.89 5.01 35.98 4.90 18.97 5.50 2.16 1.55 0.00 0.00
59 Engineers 7: Hispanic 41 10,556 47.73 8.51 33.30 8.76 16.20 6.05 2.78 2.77 0.00 0.00
59 Engineers 8: NonHispanic 1,040 274,823 50.48 1.76 33.72 1.48 13.54 1.19 2.09 0.45 0.18 0.13
64 Computer systems analysts and scientists 1: Total 2,168 564,743 47.33 1.36 33.71 1.24 16.10 0.99 2.40 0.36 0.46 0.17
64 Computer systems analysts and scientists 2: Male 1,493 393,336 49.66 1.48 33.39 1.35 14.52 1.00 2.19 0.41 0.24 0.12
64 Computer systems analysts and scientists 3: Female 675 171,407 41.98 2.24 34.45 2.26 19.73 1.92 2.87 0.78 0.97 0.41
64 Computer systems analysts and scientists 4: White 1,852 484,823 48.57 1.48 33.97 1.35 14.59 0.93 2.37 0.41 0.50 0.20
64 Computer systems analysts and scientists 5: Black 161 39,421 38.34 3.86 33.18 3.80 25.98 3.69 2.50 1.29 0.00 0.00
64 Computer systems analysts and scientists 6: Other 155 40,500 41.22 4.43 31.15 3.52 24.49 4.29 2.63 1.08 0.50 0.50
64 Computer systems analysts and scientists 7: Hispanic 64 17,252 49.07 7.23 22.64 6.93 24.49 5.17 1.42 1.40 2.39 2.29
64 Computer systems analysts and scientists 8: NonHispanic 2,104 547,491 47.28 1.34 34.06 1.27 15.83 0.98 2.43 0.37 0.40 0.16
65 Operations/systems researchers and analysts 1: Total 1,082 279,844 48.82 1.90 34.17 1.69 14.14 1.13 2.49 0.44 0.38 0.17
65 Operations/systems researchers and analysts 2: Male 610 163,791 51.06 2.32 33.73 2.10 13.02 1.48 1.90 0.53 0.29 0.20
65 Operations/systems researchers and analysts 3: Female 472 116,053 45.65 2.61 34.78 2.39 15.74 1.80 3.32 0.75 0.51 0.31
65 Operations/systems researchers and analysts 4: White 930 241,287 50.71 1.85 33.38 1.52 13.12 1.20 2.40 0.51 0.39 0.19
65 Operations/systems researchers and analysts 5: Black 99 25,216 39.62 5.96 34.32 5.95 20.89 3.88 4.64 1.97 0.53 0.52
65 Operations/systems researchers and analysts 6: Other 53 13,341 31.87 5.91 48.08 7.74 20.05 6.40 0.00 0.00 0.00 0.00
65 Operations/systems researchers and analysts 7: Hispanic 46 11,394 54.35 8.36 19.31 6.47 17.63 5.14 6.46 4.10 2.25 2.24
65 Operations/systems researchers and analysts 8: NonHispanic 1,036 268,451 48.59 1.93 34.80 1.70 14.00 1.11 2.32 0.43 0.30 0.15
73 Chemists, except biochemists 1: Total 476 124,271 49.52 2.57 33.25 2.23 13.77 1.54 3.32 0.95 0.14 0.10
73 Chemists, except biochemists 2: Male 360 95,013 49.76 2.75 32.44 2.56 14.10 1.82 3.51 1.07 0.19 0.13
73 Chemists, except biochemists 3: Female 116 29,258 48.74 5.08 35.88 4.75 12.68 2.86 2.71 1.54 0.00 0.00
73 Chemists, except biochemists 4: White 392 102,713 51.40 2.73 32.94 2.46 12.24 1.68 3.35 1.06 0.08 0.08
73 Chemists, except biochemists 5: Black 31 7,721 33.96 9.72 40.45 9.97 17.99 6.93 6.34 4.45 1.26 1.28
73 Chemists, except biochemists 6: Other 53 13,837 44.26 7.80 31.54 6.42 22.75 5.71 1.44 1.49 0.00 0.00
73 Chemists, except biochemists 7: Hispanic 18 4,617 62.42 10.76 15.69 8.49 15.05 8.39 5.15 5.02 1.70 1.64
73 Chemists, except biochemists 8: NonHispanic 458 119,654 49.02 2.59 33.93 2.28 13.72 1.55 3.25 0.97 0.08 0.08
84 Physicians 1: Total 2,193 564,555 66.90 1.18 21.33 1.03 9.44 0.69 2.22 0.33 0.11 0.07
84 Physicians 2: Male 1,713 444,900 68.55 1.25 19.90 1.10 9.46 0.71 1.99 0.36 0.10 0.07
84 Physicians 3: Female 480 119,655 60.77 2.49 26.65 2.32 9.35 1.43 3.07 0.84 0.15 0.15
84 Physicians 4: White 1,863 478,408 67.25 1.33 21.34 1.17 9.18 0.69 2.10 0.36 0.13 0.08
84 Physicians 5: Black 97 24,627 72.92 4.06 21.70 4.49 4.29 1.84 1.09 0.82 0.00 0.00
84 Physicians 6: Other 233 61,520 61.70 3.40 21.14 2.60 13.54 2.50 3.62 1.35 0.00 0.00
84 Physicians 7: Hispanic 124 34,042 66.20 4.82 20.68 3.85 11.58 3.01 1.54 1.12 0.00 0.00
84 Physicians 8: NonHispanic 2,069 530,513 66.94 1.24 21.37 1.04 9.30 0.71 2.26 0.33 0.12 0.07
85 Dentists 1: Total 557 139,120 63.64 2.20 25.91 1.88 9.21 1.40 1.23 0.43 0.00 0.00
85 Dentists 2: Male 484 121,213 63.24 2.47 25.39 2.15 10.13 1.56 1.24 0.47 0.00 0.00
85 Dentists 3: Female 73 17,908 66.36 6.72 29.47 5.67 3.03 1.91 1.14 1.11 0.00 0.00
85 Dentists 4: White 505 126,000 63.36 2.35 25.73 1.99 9.71 1.49 1.20 0.46 0.00 0.00
85 Dentists 5: Black 16 4,094 48.72 10.18 42.31 10.85 8.97 5.35 0.00 0.00 0.00 0.00
85 Dentists 6: Other 36 9,026 74.32 7.27 20.98 7.20 2.44 2.41 2.26 2.29 0.00 0.00
85 Dentists 7: Hispanic 15 3,889 80.60 8.67 5.24 4.78 14.16 8.66 0.00 0.00 0.00 0.00
85 Dentists 8: NonHispanic 542 135,231 63.16 2.21 26.51 1.92 9.07 1.39 1.27 0.45 0.00 0.00
95 Registered nurses 1: Total 7,300 1,799,165 44.25 0.68 31.67 0.59 20.47 0.56 3.27 0.21 0.33 0.07
95 Registered nurses 2: Male 362 92,522 50.49 2.48 30.74 2.69 15.50 1.92 3.03 0.96 0.24 0.24
95 Registered nurses 3: Female 6,938 1,706,643 43.91 0.70 31.72 0.60 20.74 0.58 3.29 0.22 0.34 0.07
95 Registered nurses 4: White 6,131 1,537,400 45.86 0.73 31.99 0.68 18.97 0.54 2.88 0.22 0.30 0.07
95 Registered nurses 5: Black 815 172,626 32.51 1.80 29.12 1.77 31.61 2.14 6.11 1.03 0.64 0.30
95 Registered nurses 6: Other 354 89,139 39.21 2.40 31.05 2.42 24.94 2.25 4.54 1.16 0.26 0.25
95 Registered nurses 7: Hispanic 229 57,372 43.13 3.85 30.82 2.77 22.72 3.24 3.34 1.18 0.00 0.00
95 Registered nurses 8: NonHispanic 7,071 1,741,793 44.29 0.69 31.70 0.61 20.40 0.57 3.27 0.21 0.34 0.07
96 Pharmacists 1: Total 640 164,795 57.65 2.09 25.33 1.87 13.67 1.55 3.21 0.80 0.15 0.14
96 Pharmacists 2: Male 374 96,449 59.03 2.81 24.01 2.52 12.76 2.01 4.21 1.21 0.00 0.00
96 Pharmacists 3: Female 266 68,346 55.70 3.13 27.20 2.95 14.96 2.29 1.80 0.82 0.35 0.35
96 Pharmacists 4: White 578 148,253 57.81 2.28 25.44 2.03 13.36 1.64 3.40 0.87 0.00 0.00
96 Pharmacists 5: Black 18 4,373 58.46 12.15 17.37 8.33 24.17 10.94 0.00 0.00 0.00 0.00
96 Pharmacists 6: Other 44 12,169 55.34 8.74 26.94 7.55 13.70 6.75 2.01 2.09 2.01 2.01
96 Pharmacists 7: Hispanic 21 5,287 39.71 10.44 43.34 10.96 12.96 7.31 3.99 3.78 0.00 0.00
96 Pharmacists 8: NonHispanic 619 159,508 58.24 2.12 24.73 1.98 13.70 1.60 3.18 0.81 0.15 0.15
97 Dietitians 1: Total 426 105,770 43.76 2.78 28.99 2.29 23.43 2.08 3.58 1.07 0.24 0.24
97 Dietitians 2: Male 50 13,150 42.87 8.03 33.86 6.53 20.18 5.41 3.10 2.35 0.00 0.00
97 Dietitians 3: Female 376 92,621 43.88 2.91 28.30 2.29 23.89 2.24 3.65 1.20 0.27 0.28
97 Dietitians 4: White 293 76,547 47.72 3.24 29.86 2.69 19.65 2.53 2.43 1.05 0.33 0.33
97 Dietitians 5: Black 109 22,571 34.10 5.55 21.34 4.72 39.09 4.63 5.47 1.95 0.00 0.00
97 Dietitians 6: Other 24 6,653 30.73 12.11 44.78 12.03 14.04 6.12 10.45 7.62 0.00 0.00
97 Dietitians 7: Hispanic 24 7,683 26.85 8.19 34.54 11.58 35.63 11.84 2.99 3.19 0.00 0.00
97 Dietitians 8: NonHispanic 402 98,087 45.08 2.86 28.56 2.45 22.47 2.21 3.63 1.12 0.26 0.26
154 Postsecondary teachers, subject unspecified 1: Total 887 225,123 47.06 1.57 34.81 1.65 14.12 1.36 3.65 0.76 0.36 0.17
154 Postsecondary teachers, subject unspecified 2: Male 493 128,234 49.12 2.44 33.44 1.82 13.54 2.15 3.27 1.05 0.63 0.30
154 Postsecondary teachers, subject unspecified 3: Female 394 96,889 44.29 3.16 36.63 2.80 14.90 1.84 4.17 1.23 0.00 0.00
154 Postsecondary teachers, subject unspecified 4: White 699 177,407 50.87 1.70 33.78 1.75 11.81 1.15 3.14 0.96 0.40 0.20
154 Postsecondary teachers, subject unspecified 5: Black 66 15,509 33.56 5.71 42.73 6.10 13.64 4.84 9.42 3.63 0.66 0.67
154 Postsecondary teachers, subject unspecified 6: Other 122 32,207 32.67 4.73 36.61 5.32 27.05 5.45 3.67 1.86 0.00 0.00
154 Postsecondary teachers, subject unspecified 7: Hispanic 24 8,057 47.94 8.92 32.13 10.42 8.23 3.09 11.69 8.65 0.00 0.00
154 Postsecondary teachers, subject unspecified 8: NonHispanic 863 217,066 47.02 1.67 34.91 1.68 14.34 1.39 3.35 0.65 0.38 0.17
155 Teachers, pre-K and K 1: Total 1,650 408,944 40.49 1.33 34.27 1.30 20.56 1.09 4.23 0.55 0.45 0.18
155 Teachers, pre-K and K 2: Male 23 6,290 42.59 10.82 18.97 7.72 34.26 10.84 4.19 4.17 0.00 0.00
155 Teachers, pre-K and K 3: Female 1,627 402,653 40.45 1.32 34.51 1.30 20.35 1.10 4.23 0.54 0.46 0.18
155 Teachers, pre-K and K 4: White 1,348 344,094 42.47 1.51 35.88 1.46 17.75 1.14 3.43 0.54 0.47 0.20
155 Teachers, pre-K and K 5: Black 257 52,578 26.74 3.07 26.54 2.87 37.39 3.28 8.86 1.92 0.47 0.47
155 Teachers, pre-K and K 6: Other 45 12,272 43.25 9.17 22.29 6.57 27.63 6.65 6.84 4.21 0.00 0.00
155 Teachers, pre-K and K 7: Hispanic 99 25,558 29.97 4.46 32.69 3.96 29.13 4.28 7.36 2.20 0.86 0.83
155 Teachers, pre-K and K 8: NonHispanic 1,551 383,386 41.18 1.40 34.38 1.36 20.00 1.13 4.02 0.57 0.43 0.16
156 Teachers, elementary school 1: Total 6,236 1,524,602 47.39 0.75 32.93 0.63 16.47 0.51 2.82 0.24 0.39 0.10
156 Teachers, elementary school 2: Male 954 240,550 51.19 1.77 31.15 1.55 14.02 1.15 3.18 0.65 0.47 0.21
156 Teachers, elementary school 3: Female 5,282 1,284,053 46.68 0.77 33.27 0.68 16.93 0.55 2.75 0.25 0.38 0.10
156 Teachers, elementary school 4: White 5,452 1,361,322 49.38 0.76 33.03 0.66 14.79 0.51 2.44 0.23 0.36 0.10
156 Teachers, elementary school 5: Black 698 140,683 30.07 1.95 31.66 2.15 31.64 1.92 6.08 0.94 0.56 0.31
156 Teachers, elementary school 6: Other 86 22,597 35.34 4.48 34.89 5.86 23.26 4.24 5.35 2.80 1.16 1.20
156 Teachers, elementary school 7: Hispanic 248 63,217 43.11 4.42 34.35 3.36 16.42 1.90 6.12 1.50 0.00 0.00
156 Teachers, elementary school 8: NonHispanic 5,988 1,461,386 47.57 0.79 32.87 0.66 16.47 0.52 2.67 0.24 0.41 0.10
157 Teachers, secondary school 1: Total 4,792 1,207,921 48.96 1.00 32.29 0.90 16.04 0.65 2.29 0.22 0.42 0.09
157 Teachers, secondary school 2: Male 2,040 528,711 50.88 1.21 30.66 1.16 16.51 0.99 1.57 0.26 0.38 0.14
157 Teachers, secondary school 3: Female 2,752 679,210 47.46 1.22 33.56 1.18 15.67 0.78 2.86 0.33 0.45 0.13
157 Teachers, secondary school 4: White 4,275 1,096,317 50.14 1.05 32.27 0.91 15.14 0.66 2.04 0.24 0.41 0.10
157 Teachers, secondary school 5: Black 455 93,839 36.39 2.31 30.23 2.14 27.36 2.26 5.47 1.18 0.56 0.32
157 Teachers, secondary school 6: Other 62 17,764 42.62 5.37 44.71 6.90 11.42 4.31 1.25 1.32 0.00 0.00
157 Teachers, secondary school 7: Hispanic 173 46,830 42.49 3.98 28.90 3.52 24.48 3.86 4.14 1.39 0.00 0.00
157 Teachers, secondary school 8: NonHispanic 4,619 1,161,090 49.22 1.01 32.43 0.91 15.70 0.64 2.22 0.23 0.43 0.09
158 Teachers, special education 1: Total 1,017 252,519 43.08 1.60 33.40 1.55 20.32 1.41 2.64 0.54 0.56 0.26
158 Teachers, special education 2: Male 160 42,514 43.32 4.45 36.99 3.86 15.11 2.94 2.92 1.47 1.66 1.21
158 Teachers, special education 3: Female 857 210,005 43.03 1.69 32.68 1.64 21.38 1.56 2.58 0.56 0.34 0.20
158 Teachers, special education 4: White 878 219,377 45.26 1.73 33.24 1.58 19.41 1.45 1.89 0.51 0.21 0.15
158 Teachers, special education 5: Black 125 29,254 29.17 4.32 33.84 5.32 25.90 4.57 8.62 3.05 2.47 1.79
158 Teachers, special education 6: Other 14 3,887 24.69 12.99 39.24 12.21 29.95 14.12 0.00 0.00 6.12 6.27
158 Teachers, special education 7: Hispanic 36 9,380 41.75 8.63 14.92 5.98 35.00 10.18 5.79 4.06 2.54 2.63
158 Teachers, special education 8: NonHispanic 981 243,139 43.13 1.68 34.12 1.55 19.76 1.40 2.52 0.54 0.48 0.25
159 Teachers 1: Total 2,162 545,219 48.18 1.24 30.75 1.05 16.91 0.92 3.67 0.42 0.49 0.16
159 Teachers 2: Male 794 207,073 48.70 1.93 31.69 1.78 15.60 1.25 3.65 0.67 0.37 0.26
159 Teachers 3: Female 1,368 338,146 47.86 1.45 30.18 1.36 17.72 1.11 3.68 0.53 0.57 0.21
159 Teachers 4: White 1,919 489,427 49.75 1.27 30.54 1.15 15.89 0.91 3.41 0.43 0.41 0.16
159 Teachers 5: Black 182 39,796 31.37 4.20 29.37 3.69 30.84 4.13 7.24 2.01 1.18 0.87
159 Teachers 6: Other 61 15,996 41.86 6.37 40.80 6.00 13.37 4.04 2.67 1.91 1.31 1.32
159 Teachers 7: Hispanic 89 22,091 49.40 4.74 34.23 4.49 10.85 3.22 5.53 2.55 0.00 0.00
159 Teachers 8: NonHispanic 2,073 523,129 48.13 1.27 30.60 1.08 17.17 0.95 3.59 0.41 0.51 0.16
163 Counselors, Educational and Vocational 1: Total 1,026 262,756 44.54 1.62 34.65 1.72 16.53 1.18 3.94 0.68 0.35 0.18
163 Counselors, Educational and Vocational 2: Male 349 92,738 45.71 2.83 31.34 2.74 17.21 2.18 5.52 1.36 0.22 0.22
163 Counselors, Educational and Vocational 3: Female 677 170,018 43.89 1.92 36.46 2.08 16.15 1.31 3.08 0.72 0.42 0.25
163 Counselors, Educational and Vocational 4: White 818 211,544 47.32 1.80 34.36 1.78 14.62 1.20 3.36 0.69 0.34 0.20
163 Counselors, Educational and Vocational 5: Black 175 40,618 32.99 4.57 33.06 4.65 28.46 3.57 5.49 2.00 0.00 0.00
163 Counselors, Educational and Vocational 6: Other 33 10,594 33.35 9.61 46.53 13.26 8.67 4.84 9.54 5.85 1.91 1.97
163 Counselors, Educational and Vocational 7: Hispanic 48 11,557 42.85 5.53 25.69 5.87 24.79 6.75 2.30 2.24 4.36 3.13
163 Counselors, Educational and Vocational 8: NonHispanic 978 251,198 44.61 1.68 35.06 1.80 16.14 1.22 4.02 0.70 0.17 0.12
164 Librarians 1: Total 737 185,788 42.79 1.97 35.33 1.88 19.67 1.39 2.09 0.50 0.11 0.11
164 Librarians 2: Male 104 27,565 41.22 5.30 37.56 5.34 19.52 4.15 0.95 0.95 0.75 0.76
164 Librarians 3: Female 633 158,222 43.07 2.05 34.94 2.06 19.70 1.54 2.29 0.56 0.00 0.00
164 Librarians 4: White 659 167,087 42.91 1.98 34.81 1.89 19.87 1.50 2.29 0.55 0.12 0.12
164 Librarians 5: Black 50 10,377 32.82 8.12 42.70 9.94 23.86 6.23 0.62 0.62 0.00 0.00
164 Librarians 6: Other 28 8,323 52.92 8.55 36.57 8.18 10.51 5.24 0.00 0.00 0.00 0.00
164 Librarians 7: Hispanic 24 6,860 40.02 10.60 19.54 10.01 30.13 8.21 10.31 7.40 0.00 0.00
164 Librarians 8: NonHispanic 713 178,927 42.90 1.99 35.94 1.89 19.27 1.42 1.78 0.44 0.12 0.12
166 Economists 1: Total 635 166,170 55.28 1.97 28.34 1.77 14.00 1.35 2.09 0.56 0.29 0.21
166 Economists 2: Male 364 97,324 61.61 2.54 23.32 2.52 13.65 1.58 1.19 0.66 0.23 0.23
166 Economists 3: Female 271 68,846 46.31 3.01 35.46 2.88 14.49 2.49 3.37 1.09 0.37 0.37
166 Economists 4: White 574 150,931 56.32 2.18 28.28 1.85 13.15 1.52 1.94 0.60 0.32 0.23
166 Economists 5: Black 38 8,685 43.20 9.10 25.29 9.77 31.51 8.45 0.00 0.00 0.00 0.00
166 Economists 6: Other 23 6,553 47.52 11.67 33.72 11.30 10.30 5.90 8.46 6.23 0.00 0.00
166 Economists 7: Hispanic 30 7,949 52.70 8.81 33.04 8.51 8.46 4.75 2.63 2.61 3.17 3.13
166 Economists 8: NonHispanic 605 158,220 55.41 1.96 28.10 1.79 14.28 1.40 2.06 0.57 0.14 0.14
167 Psychologists 1: Total 754 190,497 48.97 1.75 29.85 1.63 17.38 1.45 3.43 0.74 0.37 0.27
167 Psychologists 2: Male 320 82,506 49.49 2.97 30.90 2.52 15.59 2.18 3.70 1.02 0.32 0.32
167 Psychologists 3: Female 434 107,991 48.57 2.28 29.05 2.09 18.75 1.76 3.22 1.02 0.41 0.41
167 Psychologists 4: White 686 174,659 49.97 1.93 29.31 1.65 17.21 1.50 3.11 0.68 0.41 0.29
167 Psychologists 5: Black 56 12,367 32.34 6.70 39.44 7.43 19.33 6.77 8.90 6.36 0.00 0.00
167 Psychologists 6: Other 12 3,472 58.19 13.38 22.92 12.34 18.90 9.32 0.00 0.00 0.00 0.00
167 Psychologists 7: Hispanic 38 9,612 29.65 7.42 33.21 8.72 26.18 7.47 6.33 4.47 4.62 4.36
167 Psychologists 8: NonHispanic 716 180,885 50.00 1.77 29.67 1.61 16.91 1.44 3.27 0.75 0.15 0.15
174 Social workers 1: Total 2,351 569,851 39.15 1.16 32.98 1.06 21.82 0.90 5.27 0.50 0.78 0.20
174 Social workers 2: Male 695 176,079 43.48 2.11 29.12 1.77 22.47 1.68 4.02 0.82 0.91 0.44
174 Social workers 3: Female 1,656 393,771 37.22 1.38 34.70 1.33 21.53 1.05 5.83 0.61 0.73 0.21
174 Social workers 4: White 1,765 441,564 41.20 1.38 33.88 1.27 20.03 1.05 4.00 0.54 0.89 0.25
174 Social workers 5: Black 532 114,755 32.61 2.26 29.89 2.08 27.97 1.90 9.07 1.23 0.46 0.29
174 Social workers 6: Other 54 13,531 27.87 7.20 29.95 5.67 27.81 6.15 14.38 5.54 0.00 0.00
174 Social workers 7: Hispanic 147 35,804 33.01 3.69 32.10 4.48 26.30 4.24 6.53 2.85 2.08 1.24
174 Social workers 8: NonHispanic 2,204 534,047 39.56 1.23 33.04 1.14 21.52 0.89 5.19 0.46 0.70 0.19
176 Clergy 1: Total 1,345 330,405 47.60 1.57 28.35 1.38 18.94 1.17 4.19 0.61 0.91 0.35
176 Clergy 2: Male 1,223 303,305 47.66 1.64 28.49 1.41 18.67 1.20 4.34 0.66 0.84 0.31
176 Clergy 3: Female 122 27,099 46.94 5.04 26.78 4.43 22.02 3.86 2.50 1.43 1.75 1.72
176 Clergy 4: White 1,157 286,145 49.44 1.65 28.73 1.48 17.47 1.21 3.39 0.62 0.97 0.39
176 Clergy 5: Black 155 35,690 34.59 4.84 25.39 3.98 29.40 4.75 9.93 2.73 0.69 0.69
176 Clergy 6: Other 33 8,570 40.47 9.07 28.11 8.06 24.48 7.26 6.95 4.80 0.00 0.00
176 Clergy 7: Hispanic 37 10,323 41.54 9.00 22.64 9.03 27.24 6.88 6.63 3.97 1.95 1.98
176 Clergy 8: NonHispanic 1,308 320,081 47.80 1.60 28.54 1.40 18.67 1.19 4.11 0.62 0.88 0.35
178 Lawyers 1: Total 2,854 747,311 58.31 1.08 26.75 0.98 12.29 0.69 2.22 0.33 0.44 0.11
178 Lawyers 2: Male 2,147 568,786 58.39 1.17 26.65 1.02 12.00 0.79 2.46 0.41 0.50 0.14
178 Lawyers 3: Female 707 178,525 58.05 1.93 27.06 1.72 13.22 1.45 1.44 0.41 0.24 0.17
178 Lawyers 4: White 2,673 700,998 59.07 1.08 26.71 0.99 11.67 0.71 2.09 0.32 0.46 0.12
178 Lawyers 5: Black 131 32,972 49.65 5.11 27.59 4.47 19.18 4.06 3.59 1.52 0.00 0.00
178 Lawyers 6: Other 50 13,340 39.51 6.90 27.01 5.84 28.17 6.36 5.31 2.64 0.00 0.00
178 Lawyers 7: Hispanic 92 24,022 56.34 5.18 29.15 5.62 13.66 3.65 0.85 0.89 0.00 0.00
178 Lawyers 8: NonHispanic 2,762 723,289 58.37 1.11 26.67 1.00 12.25 0.71 2.26 0.34 0.45 0.12
185 Designers 1: Total 2,037 526,843 44.99 1.15 31.01 1.08 19.69 1.06 3.59 0.39 0.72 0.24
185 Designers 2: Male 853 225,588 47.56 1.75 29.74 1.51 18.37 1.44 3.13 0.63 1.21 0.49
185 Designers 3: Female 1,184 301,255 43.06 1.50 31.97 1.38 20.67 1.36 3.94 0.59 0.36 0.19
185 Designers 4: White 1,874 485,631 45.35 1.24 30.81 1.20 19.75 1.10 3.30 0.38 0.78 0.26
185 Designers 5: Black 78 18,362 37.29 7.19 32.89 6.08 25.56 5.42 4.26 2.14 0.00 0.00
185 Designers 6: Other 85 22,851 43.49 4.84 33.79 5.17 13.51 3.00 9.21 3.86 0.00 0.00
185 Designers 7: Hispanic 123 31,508 41.33 4.09 28.04 4.05 23.45 4.32 6.48 2.00 0.70 0.70
185 Designers 8: NonHispanic 1,914 495,335 45.22 1.19 31.20 1.11 19.45 1.08 3.41 0.39 0.72 0.25
186 Musicians and composers 1: Total 647 171,362 47.90 2.14 32.27 1.93 13.85 1.41 5.15 1.01 0.84 0.43
186 Musicians and composers 2: Male 394 106,537 48.42 2.65 30.85 2.31 15.37 1.85 4.66 1.35 0.70 0.53
186 Musicians and composers 3: Female 253 64,825 47.03 3.31 34.61 3.22 11.34 1.94 5.95 1.56 1.06 0.77
186 Musicians and composers 4: White 561 149,422 49.49 2.30 31.97 2.11 13.41 1.56 4.51 1.05 0.61 0.36
186 Musicians and composers 5: Black 65 16,035 38.43 6.49 31.23 6.31 18.81 4.41 8.35 3.30 3.19 2.97
186 Musicians and composers 6: Other 21 5,906 33.46 8.08 42.70 10.23 11.36 6.82 12.49 8.44 0.00 0.00
186 Musicians and composers 7: Hispanic 43 10,895 55.38 8.72 17.65 6.36 17.51 7.37 9.46 6.17 0.00 0.00
186 Musicians and composers 8: NonHispanic 604 160,467 47.39 2.32 33.27 2.06 13.60 1.51 4.86 0.99 0.89 0.46
187 Actors and directors 1: Total 397 103,368 56.04 2.33 26.32 2.28 13.77 1.53 3.87 1.12 0.00 0.00
187 Actors and directors 2: Male 242 64,217 59.98 2.87 24.60 2.60 12.42 1.80 3.00 1.28 0.00 0.00
187 Actors and directors 3: Female 155 39,152 49.61 3.91 29.12 3.66 15.97 3.01 5.30 2.01 0.00 0.00
187 Actors and directors 4: White 367 94,457 58.07 2.59 26.78 2.21 12.71 1.67 2.45 0.91 0.00 0.00
187 Actors and directors 5: Black 18 6,067 43.51 11.05 20.49 11.38 14.78 9.39 21.23 10.03 0.00 0.00
187 Actors and directors 6: Other 12 2,844 15.80 11.86 23.52 13.01 46.57 14.50 14.12 13.37 0.00 0.00
187 Actors and directors 7: Hispanic 22 5,345 34.74 7.94 44.67 8.69 16.33 9.08 4.26 4.27 0.00 0.00
187 Actors and directors 8: NonHispanic 375 98,023 57.21 2.40 25.31 2.28 13.63 1.64 3.85 1.11 0.00 0.00
188 Painters/sculptors/craft-artists/artist printmakers 1: Total 928 243,308 45.82 1.74 32.99 1.57 17.30 1.21 3.29 0.58 0.61 0.23
188 Painters/sculptors/craft-artists/artist printmakers 2: Male 451 120,720 49.65 2.76 31.04 2.23 15.74 1.85 2.69 0.72 0.89 0.38
188 Painters/sculptors/craft-artists/artist printmakers 3: Female 477 122,587 42.03 2.13 34.92 2.06 18.84 1.63 3.88 0.85 0.33 0.24
188 Painters/sculptors/craft-artists/artist printmakers 4: White 853 223,410 45.53 1.79 34.30 1.65 16.59 1.29 3.12 0.60 0.46 0.21
188 Painters/sculptors/craft-artists/artist printmakers 5: Black 39 9,904 42.93 8.21 23.75 6.30 26.98 8.45 4.19 3.35 2.14 1.54
188 Painters/sculptors/craft-artists/artist printmakers 6: Other 36 9,994 55.70 8.77 12.01 4.62 23.72 8.04 6.12 2.73 2.45 2.51
188 Painters/sculptors/craft-artists/artist printmakers 7: Hispanic 40 10,852 65.38 8.33 23.43 6.29 11.18 5.60 0.00 0.00 0.00 0.00
188 Painters/sculptors/craft-artists/artist printmakers 8: NonHispanic 888 232,456 44.91 1.77 33.43 1.64 17.58 1.24 3.44 0.60 0.64 0.24
189 Photographers 1: Total 503 134,989 49.57 2.36 32.70 2.25 14.80 1.87 2.51 0.71 0.43 0.22
189 Photographers 2: Male 364 101,240 49.93 2.90 33.98 2.84 13.51 2.02 2.35 0.81 0.22 0.22
189 Photographers 3: Female 139 33,749 48.48 4.20 28.84 3.45 18.67 3.59 2.97 1.52 1.04 0.74
189 Photographers 4: White 462 125,085 49.28 2.43 33.60 2.36 14.25 1.81 2.54 0.76 0.34 0.20
189 Photographers 5: Black 28 6,256 55.09 9.11 25.43 7.44 17.00 7.17 0.00 0.00 2.48 2.49
189 Photographers 6: Other 13 3,648 50.20 13.59 14.19 9.54 29.82 15.45 5.79 5.42 0.00 0.00
189 Photographers 7: Hispanic 18 4,926 37.59 12.04 28.27 9.18 34.14 12.37 0.00 0.00 0.00 0.00
189 Photographers 8: NonHispanic 485 130,063 50.02 2.39 32.87 2.28 14.06 1.75 2.60 0.74 0.44 0.22
195 Editors and reporters 1: Total 933 247,967 48.36 1.88 32.82 1.72 15.88 1.55 2.68 0.56 0.26 0.15
195 Editors and reporters 2: Male 478 130,383 50.69 2.56 29.78 2.20 16.44 2.28 2.94 0.70 0.15 0.15
195 Editors and reporters 3: Female 455 117,584 45.78 2.28 36.19 2.43 15.26 1.63 2.39 0.70 0.38 0.27
195 Editors and reporters 4: White 865 228,960 49.83 1.95 32.63 1.80 14.60 1.58 2.66 0.58 0.28 0.16
195 Editors and reporters 5: Black 45 12,182 27.75 5.92 30.88 7.79 40.30 7.61 1.06 1.07 0.00 0.00
195 Editors and reporters 6: Other 23 6,825 35.93 12.62 42.63 12.33 15.16 7.35 6.28 4.50 0.00 0.00
195 Editors and reporters 7: Hispanic 24 6,974 40.31 11.31 31.95 10.25 27.74 13.48 0.00 0.00 0.00 0.00
195 Editors and reporters 8: NonHispanic 909 240,992 48.59 1.96 32.85 1.70 15.53 1.53 2.76 0.57 0.27 0.16
197 Public relations specialists 1: Total 649 168,127 48.63 2.06 33.82 1.82 14.59 1.36 2.81 0.70 0.15 0.15
197 Public relations specialists 2: Male 271 72,038 48.14 3.37 31.28 2.84 16.83 2.31 3.75 1.22 0.00 0.00
197 Public relations specialists 3: Female 378 96,088 49.00 2.53 35.72 2.46 12.91 1.69 2.10 0.83 0.27 0.27
197 Public relations specialists 4: White 587 152,746 51.18 2.15 32.58 1.84 13.69 1.50 2.37 0.66 0.17 0.17
197 Public relations specialists 5: Black 48 11,635 21.54 8.76 49.46 8.70 19.54 5.58 9.46 5.25 0.00 0.00
197 Public relations specialists 6: Other 14 3,746 28.60 17.10 35.63 14.29 35.77 13.01 0.00 0.00 0.00 0.00
197 Public relations specialists 7: Hispanic 31 8,036 41.26 8.88 34.87 9.94 19.79 6.50 4.07 4.04 0.00 0.00
197 Public relations specialists 8: NonHispanic 618 160,091 49.00 2.10 33.76 1.82 14.33 1.40 2.75 0.70 0.16 0.16
203 Clinical lab technologists and technicians 1: Total 1,326 328,584 42.28 1.51 35.09 1.61 18.17 1.20 4.17 0.62 0.29 0.14
203 Clinical lab technologists and technicians 2: Male 293 78,792 41.81 3.21 35.91 3.20 17.73 2.64 4.55 1.44 0.00 0.00
203 Clinical lab technologists and technicians 3: Female 1,033 249,791 42.43 1.78 34.84 1.69 18.31 1.25 4.06 0.67 0.38 0.18
203 Clinical lab technologists and technicians 4: White 996 252,780 45.02 1.75 35.68 1.71 15.34 1.14 3.67 0.66 0.29 0.17
203 Clinical lab technologists and technicians 5: Black 237 50,404 29.80 2.85 34.46 3.92 27.38 3.54 7.95 2.23 0.42 0.32
203 Clinical lab technologists and technicians 6: Other 93 25,400 39.70 5.59 30.48 4.92 28.08 5.03 1.74 1.21 0.00 0.00
203 Clinical lab technologists and technicians 7: Hispanic 93 24,898 34.19 5.28 38.75 6.40 20.90 4.36 6.16 2.80 0.00 0.00
203 Clinical lab technologists and technicians 8: NonHispanic 1,233 303,685 42.94 1.60 34.80 1.65 17.95 1.21 4.01 0.62 0.31 0.15
206 Radiologic technicians 1: Total 543 137,287 46.48 2.25 31.40 2.26 18.94 1.80 3.18 0.91 0.00 0.00
206 Radiologic technicians 2: Male 153 41,478 42.98 3.89 39.12 4.03 16.73 3.58 1.17 0.83 0.00 0.00
206 Radiologic technicians 3: Female 390 95,809 48.01 2.99 28.04 2.68 19.90 2.08 4.06 1.29 0.00 0.00
206 Radiologic technicians 4: White 478 121,044 49.02 2.36 32.30 2.31 16.56 1.73 2.11 0.72 0.00 0.00
206 Radiologic technicians 5: Black 48 11,089 27.52 6.53 27.82 8.60 30.35 6.68 14.32 7.36 0.00 0.00
206 Radiologic technicians 6: Other 17 5,154 27.87 10.77 17.88 9.21 50.03 15.97 4.23 4.20 0.00 0.00
206 Radiologic technicians 7: Hispanic 43 11,059 41.19 7.95 33.26 8.21 25.55 7.06 0.00 0.00 0.00 0.00
206 Radiologic technicians 8: NonHispanic 500 126,228 46.95 2.36 31.23 2.32 18.36 1.84 3.46 0.99 0.00 0.00
207 Licensed practical nurses 1: Total 1,851 433,437 30.86 1.45 32.93 1.38 29.21 1.17 6.32 0.56 0.68 0.18
207 Licensed practical nurses 2: Male 66 18,738 34.35 6.84 33.94 7.59 19.71 5.06 7.10 2.70 4.91 2.40
207 Licensed practical nurses 3: Female 1,785 414,700 30.71 1.45 32.89 1.42 29.63 1.19 6.28 0.58 0.50 0.16
207 Licensed practical nurses 4: White 1,375 340,291 32.32 1.70 34.14 1.49 27.36 1.26 5.36 0.59 0.83 0.23
207 Licensed practical nurses 5: Black 429 80,115 25.22 2.26 28.59 2.64 35.96 2.57 10.07 1.63 0.16 0.16
207 Licensed practical nurses 6: Other 47 13,031 27.32 7.79 27.93 8.36 36.29 7.33 8.46 3.84 0.00 0.00
207 Licensed practical nurses 7: Hispanic 92 22,621 35.69 6.42 29.25 4.80 29.65 5.18 5.41 2.88 0.00 0.00
207 Licensed practical nurses 8: NonHispanic 1,759 410,816 30.59 1.43 33.14 1.40 29.18 1.18 6.37 0.58 0.72 0.19
208 Health technologists and technicians 1: Total 1,314 330,504 38.69 1.64 34.74 1.27 21.73 1.02 4.36 0.59 0.48 0.19
208 Health technologists and technicians 2: Male 382 101,316 45.00 2.82 34.53 2.32 17.10 1.96 2.84 0.79 0.53 0.39
208 Health technologists and technicians 3: Female 932 229,188 35.91 1.79 34.83 1.55 23.76 1.35 5.03 0.76 0.46 0.21
208 Health technologists and technicians 4: White 1,040 266,221 41.32 1.68 34.76 1.53 19.49 1.17 3.88 0.64 0.56 0.23
208 Health technologists and technicians 5: Black 205 45,241 28.14 3.88 30.17 3.62 33.28 3.49 8.19 1.80 0.24 0.24
208 Health technologists and technicians 6: Other 69 19,042 26.62 5.08 45.18 6.46 26.02 5.80 2.18 1.57 0.00 0.00
208 Health technologists and technicians 7: Hispanic 94 24,937 45.48 5.00 30.89 5.18 16.79 4.61 6.84 2.76 0.00 0.00
208 Health technologists and technicians 8: NonHispanic 1,220 305,567 38.13 1.67 35.06 1.29 22.13 1.07 4.16 0.59 0.52 0.20
213 Electrical and electronic technicians 1: Total 1,447 378,968 42.15 1.45 31.98 1.21 22.39 1.31 3.27 0.55 0.21 0.12
213 Electrical and electronic technicians 2: Male 1,204 320,198 42.83 1.65 32.84 1.35 21.49 1.46 2.66 0.48 0.17 0.12
213 Electrical and electronic technicians 3: Female 243 58,770 38.41 3.38 27.33 3.01 27.27 2.80 6.59 2.12 0.39 0.39
213 Electrical and electronic technicians 4: White 1,211 318,155 41.99 1.56 32.53 1.37 22.16 1.42 3.15 0.59 0.16 0.12
213 Electrical and electronic technicians 5: Black 125 31,406 46.86 5.66 27.16 4.72 21.70 4.68 3.46 1.66 0.82 0.81
213 Electrical and electronic technicians 6: Other 111 29,407 38.77 4.48 31.25 4.66 25.67 4.07 4.31 2.27 0.00 0.00
213 Electrical and electronic technicians 7: Hispanic 79 20,080 49.88 6.06 26.73 5.11 20.95 4.97 2.44 1.77 0.00 0.00
213 Electrical and electronic technicians 8: NonHispanic 1,368 358,888 41.71 1.56 32.28 1.30 22.47 1.35 3.32 0.57 0.22 0.13
216 Engineering technicians 1: Total 1,023 261,701 43.52 1.81 29.47 1.43 23.50 1.37 3.11 0.57 0.40 0.21
216 Engineering technicians 2: Male 681 178,622 45.61 2.32 28.42 1.94 23.01 1.71 2.74 0.67 0.23 0.16
216 Engineering technicians 3: Female 342 83,079 39.04 2.75 31.74 2.12 24.57 2.31 3.91 1.08 0.76 0.56
216 Engineering technicians 4: White 855 220,821 45.22 1.91 29.93 1.65 21.94 1.47 2.45 0.52 0.47 0.25
216 Engineering technicians 5: Black 111 25,470 31.94 5.35 29.13 5.00 32.58 4.77 6.35 2.80 0.00 0.00
216 Engineering technicians 6: Other 57 15,410 38.45 7.53 23.59 5.73 30.81 6.34 7.15 4.54 0.00 0.00
216 Engineering technicians 7: Hispanic 43 10,812 48.66 7.75 19.44 6.34 27.50 7.95 4.40 3.17 0.00 0.00
216 Engineering technicians 8: NonHispanic 980 250,889 43.30 1.83 29.91 1.46 23.33 1.41 3.05 0.61 0.41 0.22
217 Drafting occs 1: Total 992 265,437 39.09 1.66 35.91 1.56 21.17 1.56 3.39 0.50 0.44 0.20
217 Drafting occs 2: Male 794 213,073 38.77 1.83 35.70 1.80 21.92 1.79 3.06 0.54 0.55 0.25
217 Drafting occs 3: Female 198 52,364 40.39 3.77 36.76 3.51 18.12 2.73 4.74 1.42 0.00 0.00
217 Drafting occs 4: White 902 243,043 39.76 1.74 34.96 1.67 21.60 1.66 3.20 0.51 0.48 0.22
217 Drafting occs 5: Black 40 9,474 41.93 8.93 36.61 8.65 15.61 4.88 5.85 3.44 0.00 0.00
217 Drafting occs 6: Other 50 12,920 23.72 5.73 54.11 6.27 16.68 6.26 5.49 2.96 0.00 0.00
217 Drafting occs 7: Hispanic 70 19,282 33.24 5.83 41.54 6.97 21.86 5.77 3.35 1.90 0.00 0.00
217 Drafting occs 8: NonHispanic 922 246,155 39.55 1.69 35.47 1.55 21.11 1.61 3.40 0.52 0.48 0.22
226 Airplane pilots and navigators 1: Total 407 107,936 78.29 2.14 14.49 1.80 5.91 1.28 1.12 0.59 0.20 0.20
226 Airplane pilots and navigators 2: Male 395 105,271 79.05 2.18 14.00 1.81 5.84 1.26 0.91 0.55 0.20 0.20
226 Airplane pilots and navigators 3: Female 12 2,665 48.35 13.04 33.49 11.93 8.90 8.88 9.27 9.21 0.00 0.00
226 Airplane pilots and navigators 4: White 398 105,231 77.73 2.20 14.86 1.85 6.06 1.31 1.15 0.60 0.20 0.20
226 Airplane pilots and navigators 5: Black 6 1,735 100.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
226 Airplane pilots and navigators 6: Other 3 970 100.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
226 Airplane pilots and navigators 7: Hispanic 11 3,245 75.74 13.90 13.04 9.46 0.00 0.00 11.22 10.68 0.00 0.00
226 Airplane pilots and navigators 8: NonHispanic 396 104,691 78.37 2.18 14.53 1.82 6.09 1.32 0.81 0.49 0.20 0.20
229 Computer programmers 1: Total 1,961 515,413 46.80 1.23 34.62 1.25 16.02 0.84 2.23 0.35 0.32 0.12
229 Computer programmers 2: Male 1,291 345,931 47.88 1.60 33.48 1.58 15.95 1.02 2.56 0.49 0.13 0.09
229 Computer programmers 3: Female 670 169,482 44.61 2.09 36.96 2.02 16.17 1.57 1.56 0.47 0.71 0.32
229 Computer programmers 4: White 1,658 441,655 47.69 1.27 34.41 1.30 15.22 0.95 2.31 0.39 0.37 0.14
229 Computer programmers 5: Black 156 35,443 34.61 3.93 37.14 4.50 27.93 3.97 0.32 0.32 0.00 0.00
229 Computer programmers 6: Other 147 38,315 47.85 4.34 34.74 4.47 14.28 2.77 3.13 1.30 0.00 0.00
229 Computer programmers 7: Hispanic 90 23,934 55.29 6.20 28.38 5.40 14.33 3.55 1.06 1.07 0.94 0.98
229 Computer programmers 8: NonHispanic 1,871 491,479 46.39 1.30 34.93 1.32 16.11 0.88 2.29 0.36 0.29 0.12
234 Legal assistants 1: Total 945 245,025 43.68 1.88 33.69 1.71 19.59 1.20 2.80 0.67 0.25 0.16
234 Legal assistants 2: Male 190 51,098 48.91 3.85 30.63 3.30 16.34 2.79 3.59 1.49 0.54 0.54
234 Legal assistants 3: Female 755 193,927 42.31 2.16 34.48 1.89 20.44 1.43 2.59 0.76 0.18 0.14
234 Legal assistants 4: White 841 218,530 45.25 2.02 33.13 1.86 18.63 1.27 2.75 0.72 0.24 0.17
234 Legal assistants 5: Black 71 16,896 34.45 5.94 37.40 7.49 25.23 5.80 2.36 1.72 0.57 0.57
234 Legal assistants 6: Other 33 9,598 24.30 6.52 39.65 7.41 31.53 5.64 4.53 3.04 0.00 0.00
234 Legal assistants 7: Hispanic 60 15,187 33.82 6.59 37.04 5.15 24.80 4.40 4.34 2.00 0.00 0.00
234 Legal assistants 8: NonHispanic 885 229,838 44.33 1.78 33.46 1.81 19.24 1.30 2.69 0.69 0.27 0.17
235 Technicians 1: Total 1,780 462,626 44.40 1.31 32.09 1.14 19.92 0.99 3.15 0.42 0.44 0.15
235 Technicians 2: Male 1,230 323,700 46.34 1.60 30.70 1.27 19.42 1.21 3.07 0.51 0.48 0.20
235 Technicians 3: Female 550 138,926 39.85 2.20 35.33 1.96 21.10 1.70 3.36 0.74 0.36 0.26
235 Technicians 4: White 1,496 391,624 45.15 1.46 32.17 1.30 19.41 1.00 3.02 0.45 0.24 0.11
235 Technicians 5: Black 158 36,652 38.47 4.66 26.26 4.18 27.28 3.68 6.43 2.14 1.57 1.17
235 Technicians 6: Other 126 34,349 42.14 7.33 37.33 6.07 17.85 4.41 1.17 0.86 1.51 1.06
235 Technicians 7: Hispanic 99 28,281 51.71 5.27 28.43 4.96 18.14 4.45 0.90 0.88 0.82 0.81
235 Technicians 8: NonHispanic 1,681 434,345 43.92 1.39 32.32 1.20 20.04 1.00 3.30 0.44 0.42 0.15
243 Supervisors/Proprietors, Sales Occupations 1: Total 13,986 3,596,023 43.49 0.48 31.74 0.48 20.11 0.38 4.04 0.19 0.62 0.07
243 Supervisors/Proprietors, Sales Occupations 2: Male 8,835 2,315,820 45.89 0.56 31.12 0.58 18.59 0.41 3.76 0.22 0.64 0.08
243 Supervisors/Proprietors, Sales Occupations 3: Female 5,151 1,280,203 39.14 0.78 32.87 0.73 22.86 0.68 4.56 0.33 0.57 0.10
243 Supervisors/Proprietors, Sales Occupations 4: White 12,793 3,297,445 43.90 0.49 31.98 0.50 19.60 0.39 3.89 0.20 0.64 0.07
243 Supervisors/Proprietors, Sales Occupations 5: Black 706 169,165 36.38 2.22 31.58 2.31 25.62 1.92 6.03 0.86 0.39 0.23
243 Supervisors/Proprietors, Sales Occupations 6: Other 487 129,414 42.35 1.89 25.97 1.67 25.95 2.16 5.36 1.37 0.38 0.26
243 Supervisors/Proprietors, Sales Occupations 7: Hispanic 751 197,592 41.92 1.93 31.19 2.21 22.19 1.83 4.05 0.71 0.66 0.31
243 Supervisors/Proprietors, Sales Occupations 8: NonHispanic 13,235 3,398,432 43.59 0.50 31.77 0.49 19.99 0.37 4.04 0.20 0.61 0.07
253 Insurance sales occs 1: Total 2,576 654,951 46.64 0.98 30.65 0.91 18.26 0.82 3.88 0.42 0.57 0.15
253 Insurance sales occs 2: Male 1,634 422,637 49.78 1.27 29.92 1.25 15.90 0.93 3.82 0.57 0.59 0.19
253 Insurance sales occs 3: Female 942 232,314 40.93 1.54 31.97 1.66 22.56 1.45 3.99 0.58 0.55 0.27
253 Insurance sales occs 4: White 2,337 598,754 47.24 0.98 30.89 0.97 17.68 0.82 3.66 0.43 0.53 0.15
253 Insurance sales occs 5: Black 179 40,514 39.73 3.83 30.29 3.90 23.20 3.38 6.50 1.88 0.29 0.29
253 Insurance sales occs 6: Other 60 15,683 41.78 6.90 22.04 6.69 27.77 6.63 5.60 3.16 2.82 2.79
253 Insurance sales occs 7: Hispanic 116 30,301 51.11 5.10 19.30 4.07 26.82 4.91 2.77 1.38 0.00 0.00
253 Insurance sales occs 8: NonHispanic 2,460 624,650 46.43 1.00 31.19 0.96 17.85 0.84 3.93 0.43 0.60 0.16
254 Real estate sales occs 1: Total 3,071 788,281 44.41 1.05 30.23 1.01 20.15 0.76 4.48 0.42 0.74 0.14
254 Real estate sales occs 2: Male 1,547 401,798 44.99 1.48 31.04 1.58 18.65 0.97 4.73 0.55 0.59 0.20
254 Real estate sales occs 3: Female 1,524 386,483 43.80 1.42 29.39 1.31 21.70 1.15 4.23 0.59 0.89 0.22
254 Real estate sales occs 4: White 2,889 740,931 45.25 1.03 30.00 1.04 19.61 0.81 4.37 0.44 0.79 0.15
254 Real estate sales occs 5: Black 102 24,062 35.78 5.94 30.69 5.31 28.92 5.22 4.61 2.35 0.00 0.00
254 Real estate sales occs 6: Other 80 23,288 26.68 6.68 37.09 5.31 28.29 4.35 7.95 2.56 0.00 0.00
254 Real estate sales occs 7: Hispanic 122 32,809 32.41 4.68 36.23 5.45 25.94 5.58 3.43 1.74 2.00 1.11
254 Real estate sales occs 8: NonHispanic 2,949 755,472 44.93 1.04 29.97 1.00 19.90 0.79 4.53 0.42 0.68 0.14
255 Securities and financial services sales occs 1: Total 1,093 288,542 51.88 1.84 32.38 1.75 13.29 1.04 1.80 0.41 0.64 0.25
255 Securities and financial services sales occs 2: Male 787 211,164 54.67 1.93 30.05 1.79 12.86 1.19 1.97 0.48 0.45 0.23
255 Securities and financial services sales occs 3: Female 306 77,378 44.27 3.39 38.76 3.66 14.48 1.81 1.34 0.70 1.15 0.71
255 Securities and financial services sales occs 4: White 1,000 265,488 52.40 2.11 32.27 1.81 12.83 1.12 1.81 0.44 0.69 0.27
255 Securities and financial services sales occs 5: Black 64 15,184 44.80 6.66 39.69 5.32 14.32 5.97 1.19 1.21 0.00 0.00
255 Securities and financial services sales occs 6: Other 29 7,870 48.01 8.88 22.07 6.35 26.99 8.79 2.93 3.03 0.00 0.00
255 Securities and financial services sales occs 7: Hispanic 28 7,195 47.89 12.30 36.13 10.69 15.99 7.18 0.00 0.00 0.00 0.00
255 Securities and financial services sales occs 8: NonHispanic 1,065 281,347 51.98 1.77 32.29 1.67 13.22 1.07 1.85 0.42 0.65 0.26
256 Advertising and related sales occs 1: Total 547 142,145 48.48 2.34 28.87 2.15 19.49 2.06 2.54 0.63 0.63 0.32
256 Advertising and related sales occs 2: Male 269 71,964 41.87 2.99 33.54 3.07 21.04 2.73 2.72 1.02 0.84 0.48
256 Advertising and related sales occs 3: Female 278 70,181 55.23 3.33 24.09 2.80 17.91 2.48 2.35 0.87 0.42 0.42
256 Advertising and related sales occs 4: White 511 133,280 49.22 2.52 27.58 2.19 19.99 2.19 2.54 0.65 0.67 0.34
256 Advertising and related sales occs 5: Black 27 6,644 32.05 9.40 51.52 8.92 13.08 6.93 3.35 3.30 0.00 0.00
256 Advertising and related sales occs 6: Other 9 2,222 53.11 12.98 38.31 16.92 8.58 7.72 0.00 0.00 0.00 0.00
256 Advertising and related sales occs 7: Hispanic 20 4,887 58.59 11.01 25.16 9.72 11.09 7.78 5.16 5.34 0.00 0.00
256 Advertising and related sales occs 8: NonHispanic 527 137,258 48.14 2.31 28.99 2.15 19.77 2.07 2.45 0.64 0.65 0.33
257 Sales occs, other business services 1: Total 1,500 393,028 47.60 1.54 29.31 1.19 18.56 1.17 4.37 0.60 0.16 0.10
257 Sales occs, other business services 2: Male 944 252,718 48.25 1.88 28.70 1.49 18.51 1.31 4.53 0.79 0.00 0.00
257 Sales occs, other business services 3: Female 556 140,309 46.43 2.41 30.41 2.17 18.63 1.83 4.07 0.84 0.46 0.26
257 Sales occs, other business services 4: White 1,385 364,858 47.69 1.62 29.83 1.28 18.11 1.21 4.19 0.62 0.18 0.10
257 Sales occs, other business services 5: Black 86 19,777 44.02 5.66 23.97 5.11 26.08 5.76 5.93 2.47 0.00 0.00
257 Sales occs, other business services 6: Other 29 8,392 52.11 7.93 19.50 5.30 20.04 5.92 8.35 4.92 0.00 0.00
257 Sales occs, other business services 7: Hispanic 83 20,971 40.37 4.93 36.70 5.58 18.75 4.37 4.19 2.27 0.00 0.00
257 Sales occs, other business services 8: NonHispanic 1,417 372,057 48.01 1.61 28.90 1.29 18.54 1.19 4.38 0.61 0.17 0.10
259 Sales reps, mining/manufact/wholesale 1: Total 5,013 1,305,211 48.96 0.81 31.01 0.71 16.68 0.56 2.94 0.25 0.40 0.08
259 Sales reps, mining/manufact/wholesale 2: Male 3,833 1,004,909 49.24 0.84 30.95 0.77 16.68 0.64 2.72 0.26 0.41 0.10
259 Sales reps, mining/manufact/wholesale 3: Female 1,180 300,302 48.00 1.65 31.24 1.44 16.70 1.12 3.69 0.59 0.37 0.17
259 Sales reps, mining/manufact/wholesale 4: White 4,750 1,240,419 49.12 0.81 31.17 0.72 16.49 0.56 2.86 0.26 0.36 0.08
259 Sales reps, mining/manufact/wholesale 5: Black 170 39,789 46.16 4.15 29.76 3.26 17.18 2.84 6.11 1.99 0.79 0.79
259 Sales reps, mining/manufact/wholesale 6: Other 93 25,003 45.67 4.30 25.13 5.38 25.46 3.87 2.02 1.41 1.72 1.19
259 Sales reps, mining/manufact/wholesale 7: Hispanic 232 58,984 45.14 3.12 30.04 3.33 18.36 2.25 6.15 1.31 0.32 0.31
259 Sales reps, mining/manufact/wholesale 8: NonHispanic 4,781 1,246,227 49.14 0.84 31.06 0.74 16.60 0.56 2.79 0.26 0.41 0.08
263 Sales workers, motor vehicles and boats 1: Total 991 255,606 40.90 1.68 31.69 1.66 20.63 1.32 5.60 0.82 1.19 0.35
263 Sales workers, motor vehicles and boats 2: Male 936 241,931 40.96 1.73 31.48 1.67 20.65 1.34 5.65 0.85 1.26 0.37
263 Sales workers, motor vehicles and boats 3: Female 55 13,676 39.70 6.44 35.43 6.60 20.22 5.71 4.65 3.34 0.00 0.00
263 Sales workers, motor vehicles and boats 4: White 936 240,349 39.39 1.71 32.48 1.67 21.38 1.41 5.57 0.84 1.18 0.38
263 Sales workers, motor vehicles and boats 5: Black 41 11,496 66.42 8.14 23.56 7.21 7.52 3.43 2.50 2.47 0.00 0.00
263 Sales workers, motor vehicles and boats 6: Other 14 3,761 58.76 11.21 5.66 5.05 12.84 8.86 16.85 11.36 5.89 5.53
263 Sales workers, motor vehicles and boats 7: Hispanic 59 14,878 30.10 5.47 33.83 5.43 33.06 6.08 1.39 1.39 1.62 1.64
263 Sales workers, motor vehicles and boats 8: NonHispanic 932 240,729 41.56 1.79 31.56 1.71 19.86 1.36 5.86 0.86 1.17 0.36
264 Sales workers, apparel 1: Total 1,169 296,930 39.81 1.78 31.57 1.65 23.22 1.28 4.83 0.71 0.57 0.22
264 Sales workers, apparel 2: Male 196 53,627 47.38 3.92 34.23 3.57 15.76 2.57 2.63 0.99 0.00 0.00
264 Sales workers, apparel 3: Female 973 243,303 38.13 1.73 30.98 1.75 24.87 1.33 5.32 0.86 0.70 0.27
264 Sales workers, apparel 4: White 1,001 258,828 40.93 1.90 32.04 1.76 22.36 1.34 4.13 0.68 0.53 0.22
264 Sales workers, apparel 5: Black 127 27,636 31.62 4.70 25.17 4.61 30.65 4.63 11.41 4.27 1.15 1.15
264 Sales workers, apparel 6: Other 41 10,465 33.64 7.48 36.84 8.06 24.85 4.42 4.67 2.76 0.00 0.00
264 Sales workers, apparel 7: Hispanic 124 32,386 27.87 4.12 33.36 4.53 31.92 4.32 6.85 2.34 0.00 0.00
264 Sales workers, apparel 8: NonHispanic 1,045 264,544 41.26 1.83 31.35 1.77 22.16 1.33 4.58 0.74 0.64 0.25
266 Sales workers, furniture and home furnishings 1: Total 402 105,818 42.72 2.87 33.69 2.75 18.74 1.97 3.94 0.97 0.91 0.59
266 Sales workers, furniture and home furnishings 2: Male 213 54,694 46.67 3.53 29.46 3.29 17.77 2.62 4.33 1.26 1.76 1.13
266 Sales workers, furniture and home furnishings 3: Female 189 51,124 38.49 4.00 38.21 4.04 19.77 3.00 3.52 1.42 0.00 0.00
266 Sales workers, furniture and home furnishings 4: White 372 99,018 42.62 3.01 34.83 2.92 18.10 1.98 3.71 0.90 0.75 0.58
266 Sales workers, furniture and home furnishings 5: Black 22 4,966 40.99 12.03 14.49 6.93 38.45 11.82 6.07 5.85 0.00 0.00
266 Sales workers, furniture and home furnishings 6: Other 8 1,833 52.89 19.82 24.06 13.02 0.00 0.00 10.83 10.49 12.22 10.01
266 Sales workers, furniture and home furnishings 7: Hispanic 30 7,845 39.27 10.04 38.72 9.43 15.67 6.14 6.34 4.47 0.00 0.00
266 Sales workers, furniture and home furnishings 8: NonHispanic 372 97,973 43.00 2.93 33.29 2.87 18.99 2.13 3.75 1.00 0.98 0.63
267 Sales workers, radio, TV, hi-fi and appliances 1: Total 452 119,117 44.30 2.48 34.00 2.24 18.09 1.96 3.12 0.86 0.49 0.29
267 Sales workers, radio, TV, hi-fi and appliances 2: Male 345 91,775 43.92 2.85 34.61 2.64 17.88 2.25 2.96 0.95 0.63 0.38
267 Sales workers, radio, TV, hi-fi and appliances 3: Female 107 27,342 45.56 5.44 31.94 4.90 18.82 3.82 3.68 1.95 0.00 0.00
267 Sales workers, radio, TV, hi-fi and appliances 4: White 403 107,942 45.40 2.74 32.62 2.44 18.84 2.09 2.71 0.85 0.43 0.30
267 Sales workers, radio, TV, hi-fi and appliances 5: Black 33 6,979 39.96 9.26 39.86 9.34 10.11 6.25 8.32 6.18 1.75 1.72
267 Sales workers, radio, TV, hi-fi and appliances 6: Other 16 4,196 23.16 10.96 59.50 12.70 12.34 8.64 5.01 5.05 0.00 0.00
267 Sales workers, radio, TV, hi-fi and appliances 7: Hispanic 21 6,412 34.72 8.41 35.51 10.92 29.78 9.89 0.00 0.00 0.00 0.00
267 Sales workers, radio, TV, hi-fi and appliances 8: NonHispanic 431 112,705 44.85 2.58 33.91 2.25 17.43 1.93 3.30 0.90 0.52 0.31
268 Sales workers, hardware and building supplies 1: Total 444 116,569 40.49 2.43 35.11 2.21 18.70 2.03 5.32 1.19 0.37 0.26
268 Sales workers, hardware and building supplies 2: Male 350 92,969 38.50 2.58 36.47 2.55 18.77 2.45 5.79 1.44 0.47 0.33
268 Sales workers, hardware and building supplies 3: Female 94 23,600 48.31 5.71 29.75 5.08 18.43 3.65 3.51 1.76 0.00 0.00
268 Sales workers, hardware and building supplies 4: White 428 112,288 40.85 2.48 35.79 2.26 18.02 2.04 4.95 1.20 0.39 0.27
268 Sales workers, hardware and building supplies 5: Black 11 2,839 7.89 6.85 14.24 8.87 55.19 15.83 22.68 12.17 0.00 0.00
268 Sales workers, hardware and building supplies 6: Other 5 1,442 76.97 19.60 23.03 19.60 0.00 0.00 0.00 0.00 0.00 0.00
268 Sales workers, hardware and building supplies 7: Hispanic 14 3,475 39.64 12.95 33.16 11.73 13.91 9.15 13.29 8.72 0.00 0.00
268 Sales workers, hardware and building supplies 8: NonHispanic 430 113,094 40.52 2.47 35.17 2.23 18.85 1.98 5.08 1.23 0.39 0.27
269 Sales workers, parts 1: Total 525 138,870 42.15 2.15 30.44 2.23 23.81 1.80 2.96 0.92 0.64 0.39
269 Sales workers, parts 2: Male 474 125,177 43.74 2.23 28.76 2.30 24.22 1.96 2.57 0.78 0.71 0.43
269 Sales workers, parts 3: Female 51 13,693 27.57 6.52 45.83 7.25 20.10 5.11 6.50 6.18 0.00 0.00
269 Sales workers, parts 4: White 492 129,759 42.22 2.20 31.35 2.31 22.74 1.74 3.01 0.99 0.69 0.41
269 Sales workers, parts 5: Black 26 7,235 41.64 10.84 15.52 7.65 40.02 10.54 2.82 2.84 0.00 0.00
269 Sales workers, parts 6: Other 7 1,876 39.12 21.20 25.42 16.29 35.46 18.15 0.00 0.00 0.00 0.00
269 Sales workers, parts 7: Hispanic 32 8,300 48.27 8.43 32.53 9.83 19.20 8.03 0.00 0.00 0.00 0.00
269 Sales workers, parts 8: NonHispanic 493 130,569 41.76 2.18 30.31 2.20 24.11 1.96 3.14 0.98 0.69 0.41
274 Sales workers, other commodities 1: Total 8,281 2,118,672 40.19 0.62 32.63 0.58 21.38 0.51 4.93 0.28 0.86 0.12
274 Sales workers, other commodities 2: Male 2,889 764,573 45.33 0.99 31.61 0.90 18.32 0.75 3.92 0.38 0.82 0.20
274 Sales workers, other commodities 3: Female 5,392 1,354,099 37.28 0.78 33.21 0.74 23.12 0.64 5.51 0.40 0.89 0.15
274 Sales workers, other commodities 4: White 7,370 1,900,230 40.76 0.63 32.59 0.58 21.09 0.51 4.70 0.28 0.85 0.12
274 Sales workers, other commodities 5: Black 650 142,383 31.99 2.28 34.82 2.37 25.56 2.15 6.94 1.09 0.69 0.44
274 Sales workers, other commodities 6: Other 261 76,059 41.24 3.95 29.46 3.35 20.80 3.02 7.02 2.23 1.47 0.78
274 Sales workers, other commodities 7: Hispanic 537 137,695 34.50 2.24 32.62 2.11 23.58 1.99 7.22 1.31 2.08 0.69
274 Sales workers, other commodities 8: NonHispanic 7,744 1,980,977 40.58 0.63 32.63 0.62 21.23 0.54 4.77 0.28 0.78 0.11
275 Sales counter clerks 1: Total 715 182,795 38.21 2.09 29.27 1.93 26.52 1.88 5.29 0.84 0.71 0.32
275 Sales counter clerks 2: Male 234 62,397 47.85 3.30 27.28 2.83 20.52 2.33 3.82 1.23 0.54 0.55
275 Sales counter clerks 3: Female 481 120,397 33.21 2.54 30.31 2.33 29.63 2.50 6.05 1.06 0.80 0.40
275 Sales counter clerks 4: White 556 145,649 36.56 2.20 31.13 2.19 26.57 2.07 4.90 0.85 0.83 0.37
275 Sales counter clerks 5: Black 87 18,053 35.60 6.34 28.76 5.65 28.00 5.61 7.11 3.11 0.53 0.54
275 Sales counter clerks 6: Other 72 19,093 53.23 5.96 15.55 3.86 24.70 5.24 6.52 2.89 0.00 0.00
275 Sales counter clerks 7: Hispanic 63 17,033 37.00 7.64 25.60 6.07 31.94 6.97 5.46 3.15 0.00 0.00
275 Sales counter clerks 8: NonHispanic 652 165,762 38.33 2.09 29.65 1.90 25.96 1.81 5.27 0.85 0.79 0.36
276 Cashiers 1: Total 8,164 2,043,195 33.55 0.64 31.09 0.59 27.77 0.60 6.62 0.26 0.97 0.11
276 Cashiers 2: Male 1,384 361,042 44.23 1.44 26.75 1.33 22.40 1.20 5.31 0.68 1.31 0.34
276 Cashiers 3: Female 6,780 1,682,152 31.26 0.67 32.02 0.65 28.92 0.65 6.91 0.28 0.89 0.12
276 Cashiers 4: White 6,314 1,619,868 33.88 0.74 31.55 0.64 27.20 0.65 6.41 0.30 0.98 0.13
276 Cashiers 5: Black 1,444 312,261 31.18 1.34 29.43 1.62 30.41 1.41 7.98 0.77 1.00 0.27
276 Cashiers 6: Other 406 111,066 35.37 2.17 29.13 2.20 28.80 2.14 5.96 1.30 0.74 0.57
276 Cashiers 7: Hispanic 743 187,024 35.12 2.04 30.13 1.86 26.04 2.00 7.56 0.91 1.14 0.42
276 Cashiers 8: NonHispanic 7,421 1,856,171 33.39 0.64 31.19 0.61 27.95 0.64 6.53 0.27 0.95 0.11
277 Street and door-to-door sales workers 1: Total 1,084 276,408 34.06 1.42 30.87 1.36 26.77 1.34 6.16 0.82 2.15 0.48
277 Street and door-to-door sales workers 2: Male 258 68,964 37.96 2.91 29.27 2.93 25.47 2.77 5.24 1.59 2.05 1.33
277 Street and door-to-door sales workers 3: Female 826 207,444 32.76 1.65 31.40 1.69 27.20 1.54 6.46 0.86 2.18 0.48
277 Street and door-to-door sales workers 4: White 973 251,242 35.31 1.51 30.53 1.43 26.25 1.41 5.73 0.83 2.18 0.52
277 Street and door-to-door sales workers 5: Black 96 21,783 22.89 4.28 37.03 5.65 28.52 4.33 10.38 3.96 1.19 1.19
277 Street and door-to-door sales workers 6: Other 15 3,383 13.14 9.10 16.21 8.70 54.29 15.75 10.24 7.34 6.12 5.66
277 Street and door-to-door sales workers 7: Hispanic 73 18,747 20.66 4.18 28.16 5.96 33.78 5.02 11.76 3.79 5.64 4.42
277 Street and door-to-door sales workers 8: NonHispanic 1,011 257,661 35.04 1.57 31.06 1.39 26.26 1.48 5.75 0.78 1.89 0.40
303 Supervisors, general office 1: Total 1,807 456,019 39.56 1.14 33.63 1.18 21.41 0.95 4.81 0.54 0.60 0.18
303 Supervisors, general office 2: Male 471 127,692 43.38 2.25 34.11 2.33 19.09 2.09 2.85 0.63 0.58 0.33
303 Supervisors, general office 3: Female 1,336 328,327 38.06 1.30 33.44 1.53 22.31 1.22 5.58 0.68 0.60 0.22
303 Supervisors, general office 4: White 1,542 393,770 41.05 1.22 33.96 1.25 19.63 1.02 4.66 0.57 0.69 0.21
303 Supervisors, general office 5: Black 210 47,377 28.45 4.03 30.60 3.88 34.32 3.48 6.63 1.58 0.00 0.00
303 Supervisors, general office 6: Other 55 14,872 35.30 7.75 34.37 7.39 27.36 8.03 2.96 2.15 0.00 0.00
303 Supervisors, general office 7: Hispanic 100 26,940 39.10 5.20 33.10 5.36 23.66 4.20 4.14 1.84 0.00 0.00
303 Supervisors, general office 8: NonHispanic 1,707 429,079 39.59 1.21 33.66 1.19 21.27 0.99 4.85 0.57 0.63 0.19
307 Supervisors, distribution, scheduling, and adjusting clerks 1: Total 706 177,953 37.76 1.95 37.61 2.09 19.96 1.73 4.50 0.87 0.18 0.13
307 Supervisors, distribution, scheduling, and adjusting clerks 2: Male 461 119,950 39.13 2.46 38.38 2.56 18.28 2.07 4.21 1.01 0.00 0.00
307 Supervisors, distribution, scheduling, and adjusting clerks 3: Female 245 58,003 34.91 3.27 36.00 3.14 23.46 2.96 5.09 1.53 0.54 0.41
307 Supervisors, distribution, scheduling, and adjusting clerks 4: White 561 145,138 39.03 2.16 38.24 2.29 19.34 1.85 3.24 0.78 0.15 0.15
307 Supervisors, distribution, scheduling, and adjusting clerks 5: Black 128 28,601 28.25 5.02 38.50 5.38 22.17 5.30 10.72 3.34 0.36 0.35
307 Supervisors, distribution, scheduling, and adjusting clerks 6: Other 17 4,214 58.65 15.37 9.79 6.56 26.27 16.79 5.28 5.43 0.00 0.00
307 Supervisors, distribution, scheduling, and adjusting clerks 7: Hispanic 49 12,491 42.68 6.90 31.88 5.46 14.37 3.83 11.08 5.79 0.00 0.00
307 Supervisors, distribution, scheduling, and adjusting clerks 8: NonHispanic 657 165,462 37.39 2.01 38.04 2.25 20.39 1.85 4.00 0.83 0.19 0.14
308 Computer operators 1: Total 2,629 659,841 39.30 1.04 32.21 1.02 23.84 0.78 4.02 0.41 0.62 0.13
308 Computer operators 2: Male 880 234,917 44.64 1.81 30.35 1.80 21.10 1.21 3.64 0.64 0.27 0.16
308 Computer operators 3: Female 1,749 424,925 36.35 1.24 33.24 1.34 25.35 1.05 4.24 0.48 0.82 0.18
308 Computer operators 4: White 2,105 543,263 40.09 1.17 33.08 1.16 22.15 0.96 4.04 0.47 0.64 0.16
308 Computer operators 5: Black 436 92,859 34.53 2.45 27.49 1.99 32.81 2.50 4.49 1.11 0.68 0.40
308 Computer operators 6: Other 88 23,719 39.98 5.27 30.88 4.84 27.42 5.27 1.73 1.14 0.00 0.00
308 Computer operators 7: Hispanic 159 42,368 39.45 4.99 27.92 4.71 29.88 3.19 2.76 1.26 0.00 0.00
308 Computer operators 8: NonHispanic 2,470 617,473 39.29 1.09 32.51 1.02 23.43 0.84 4.11 0.43 0.67 0.14
313 Secretaries 1: Total 15,276 3,828,302 40.24 0.53 33.80 0.44 22.01 0.37 3.44 0.14 0.51 0.07
313 Secretaries 2: Male 183 46,281 42.87 3.60 29.07 2.96 21.42 3.22 5.87 1.77 0.77 0.58
313 Secretaries 3: Female 15,093 3,782,021 40.20 0.54 33.86 0.45 22.02 0.38 3.41 0.14 0.51 0.07
313 Secretaries 4: White 13,564 3,453,562 41.11 0.53 33.94 0.44 21.21 0.38 3.23 0.16 0.51 0.07
313 Secretaries 5: Black 1,418 290,884 29.97 1.32 32.72 1.80 31.12 1.38 5.77 0.95 0.42 0.19
313 Secretaries 6: Other 294 83,856 39.99 3.55 31.75 2.26 23.52 2.75 4.04 1.06 0.71 0.61
313 Secretaries 7: Hispanic 890 229,081 39.44 2.07 27.93 1.57 28.42 1.70 3.61 0.70 0.60 0.21
313 Secretaries 8: NonHispanic 14,386 3,599,220 40.29 0.54 34.17 0.45 21.60 0.38 3.43 0.15 0.51 0.07
315 Typists 1: Total 2,109 515,090 37.10 1.12 35.64 1.11 22.57 0.99 4.05 0.46 0.63 0.17
315 Typists 2: Male 109 28,810 47.14 4.61 30.51 5.21 15.83 4.04 5.40 2.23 1.13 0.82
315 Typists 3: Female 2,000 486,281 36.50 1.18 35.95 1.16 22.98 1.09 3.97 0.47 0.60 0.18
315 Typists 4: White 1,587 407,125 37.99 1.28 36.01 1.26 21.28 1.14 4.19 0.56 0.54 0.18
315 Typists 5: Black 445 88,156 32.38 2.52 35.29 2.63 28.04 2.19 3.33 0.75 0.96 0.53
315 Typists 6: Other 77 19,809 39.91 4.52 29.75 5.32 24.86 5.43 4.46 2.82 1.01 1.03
315 Typists 7: Hispanic 153 36,679 33.11 4.40 37.26 3.57 22.13 3.55 7.20 2.49 0.31 0.31
315 Typists 8: NonHispanic 1,956 478,411 37.41 1.22 35.52 1.20 22.61 1.03 3.81 0.45 0.65 0.18
316 Interviewers 1: Total 581 146,720 35.64 2.40 31.32 2.15 27.89 2.14 4.63 0.88 0.53 0.31
316 Interviewers 2: Male 69 18,133 49.57 6.29 26.54 4.61 18.25 4.79 5.63 2.43 0.00 0.00
316 Interviewers 3: Female 512 128,587 33.70 2.44 31.98 2.36 29.23 2.25 4.49 0.94 0.60 0.35
316 Interviewers 4: White 479 126,116 36.15 2.70 33.23 2.40 26.48 2.41 3.53 0.76 0.61 0.36
316 Interviewers 5: Black 92 18,343 32.79 5.34 19.46 4.10 36.83 6.27 10.91 3.75 0.00 0.00
316 Interviewers 6: Other 10 2,261 30.22 13.21 19.42 12.68 34.84 12.96 15.53 13.97 0.00 0.00
316 Interviewers 7: Hispanic 38 9,918 16.27 6.19 30.51 8.82 47.23 9.53 5.99 3.52 0.00 0.00
316 Interviewers 8: NonHispanic 543 136,801 37.05 2.36 31.38 2.15 26.48 2.05 4.53 0.92 0.57 0.33
318 Transportation ticket and reservation agents 1: Total 642 164,670 45.37 2.33 31.75 1.89 19.29 1.71 2.88 0.72 0.71 0.38
318 Transportation ticket and reservation agents 2: Male 214 56,559 46.85 4.04 32.04 3.39 19.86 2.72 1.25 0.74 0.00 0.00
318 Transportation ticket and reservation agents 3: Female 428 108,111 44.60 2.60 31.60 2.20 19.00 2.06 3.73 1.05 1.07 0.58
318 Transportation ticket and reservation agents 4: White 533 138,098 47.56 2.66 31.00 2.22 17.61 1.90 2.98 0.78 0.84 0.45
318 Transportation ticket and reservation agents 5: Black 80 18,274 32.37 5.60 34.46 6.12 29.75 6.53 3.42 1.85 0.00 0.00
318 Transportation ticket and reservation agents 6: Other 29 8,299 37.57 8.63 38.29 6.66 24.14 6.05 0.00 0.00 0.00 0.00
318 Transportation ticket and reservation agents 7: Hispanic 54 13,923 37.98 6.54 32.71 6.40 29.32 5.49 0.00 0.00 0.00 0.00
318 Transportation ticket and reservation agents 8: NonHispanic 588 150,747 46.05 2.44 31.67 2.02 18.37 1.74 3.15 0.78 0.77 0.41
319 Receptionists 1: Total 3,010 747,566 37.47 1.00 33.58 0.96 23.24 0.82 5.23 0.44 0.48 0.13
319 Receptionists 2: Male 99 26,737 47.17 4.85 29.53 4.72 17.05 3.57 6.25 2.67 0.00 0.00
319 Receptionists 3: Female 2,911 720,830 37.10 1.01 33.73 0.98 23.47 0.86 5.19 0.42 0.50 0.13
319 Receptionists 4: White 2,649 671,925 38.62 1.08 33.78 1.02 22.28 0.86 4.90 0.45 0.42 0.13
319 Receptionists 5: Black 294 57,688 24.15 2.48 32.85 2.60 33.59 2.58 8.47 1.55 0.93 0.60
319 Receptionists 6: Other 67 17,953 37.19 6.61 28.08 5.64 26.06 6.41 7.35 2.42 1.33 1.33
319 Receptionists 7: Hispanic 270 70,963 34.10 3.44 31.79 3.92 27.61 3.26 5.33 1.60 1.18 0.58
319 Receptionists 8: NonHispanic 2,740 676,603 37.82 1.04 33.76 1.03 22.79 0.84 5.22 0.44 0.41 0.12
327 Order clerks 1: Total 735 183,515 37.22 1.75 32.23 1.82 23.44 1.72 6.02 1.04 1.08 0.48
327 Order clerks 2: Male 183 48,147 41.05 4.19 25.78 3.37 25.08 3.12 7.45 2.30 0.65 0.64
327 Order clerks 3: Female 552 135,368 35.88 2.17 34.50 2.14 22.87 2.27 5.52 1.09 1.23 0.61
327 Order clerks 4: White 596 153,766 38.78 2.03 31.67 2.17 22.31 1.94 6.46 1.20 0.78 0.49
327 Order clerks 5: Black 125 25,840 28.36 4.03 35.28 5.06 29.04 5.04 4.26 2.23 3.06 1.70
327 Order clerks 6: Other 14 3,910 33.86 11.32 34.56 11.01 31.58 14.30 0.00 0.00 0.00 0.00
327 Order clerks 7: Hispanic 54 14,429 28.45 6.99 23.54 4.76 38.00 6.81 8.56 5.08 1.46 1.33
327 Order clerks 8: NonHispanic 681 169,086 37.98 1.78 32.98 1.90 22.20 1.73 5.80 1.02 1.05 0.45
329 Library clerks 1: Total 491 125,725 35.92 2.29 37.71 2.46 22.92 1.89 3.28 0.91 0.18 0.18
329 Library clerks 2: Male 96 27,366 33.67 3.79 47.82 5.31 14.96 4.00 3.56 1.92 0.00 0.00
329 Library clerks 3: Female 395 98,359 36.54 2.73 34.89 2.71 25.14 2.17 3.20 1.02 0.23 0.22
329 Library clerks 4: White 392 100,948 36.57 2.43 38.97 2.79 20.88 2.08 3.36 1.00 0.22 0.22
329 Library clerks 5: Black 68 15,408 33.67 6.43 25.43 6.38 38.60 7.64 2.31 1.77 0.00 0.00
329 Library clerks 6: Other 31 9,369 32.52 8.82 44.30 8.11 19.15 7.49 4.03 3.97 0.00 0.00
329 Library clerks 7: Hispanic 36 10,207 33.41 8.19 49.76 8.36 16.83 5.53 0.00 0.00 0.00 0.00
329 Library clerks 8: NonHispanic 455 115,518 36.14 2.50 36.64 2.62 23.46 1.98 3.57 0.99 0.19 0.19
335 File clerks 1: Total 790 193,069 34.70 1.82 34.14 1.82 24.79 1.52 6.14 0.93 0.23 0.17
335 File clerks 2: Male 165 40,157 42.23 3.94 36.27 3.79 17.81 2.71 3.70 1.51 0.00 0.00
335 File clerks 3: Female 625 152,912 32.72 2.04 33.58 2.07 26.63 1.75 6.78 1.06 0.30 0.21
335 File clerks 4: White 575 147,502 35.50 2.13 34.56 2.08 23.88 1.72 5.91 1.05 0.15 0.15
335 File clerks 5: Black 177 35,931 29.66 3.73 31.24 3.61 30.09 4.37 8.36 2.20 0.65 0.66
335 File clerks 6: Other 38 9,636 41.25 8.66 38.55 6.74 18.90 7.02 1.30 1.31 0.00 0.00
335 File clerks 7: Hispanic 76 19,217 26.92 4.80 25.75 5.57 39.18 6.04 8.16 3.18 0.00 0.00
335 File clerks 8: NonHispanic 714 173,853 35.56 1.90 35.07 1.88 23.20 1.48 5.91 0.93 0.26 0.18
336 Records clerks 1: Total 645 159,184 38.96 1.85 32.03 1.80 23.84 1.86 4.44 0.74 0.73 0.34
336 Records clerks 2: Male 128 34,088 44.51 4.80 25.64 3.81 24.93 4.61 3.35 1.57 1.57 1.12
336 Records clerks 3: Female 517 125,096 37.45 2.24 33.78 2.06 23.54 2.12 4.74 0.87 0.50 0.30
336 Records clerks 4: White 518 133,291 39.90 2.04 32.62 2.07 23.02 2.07 3.91 0.77 0.55 0.32
336 Records clerks 5: Black 102 19,718 31.29 5.03 31.72 4.49 27.92 4.63 6.92 2.48 2.15 1.61
336 Records clerks 6: Other 25 6,175 43.27 9.93 20.31 8.37 28.46 8.44 7.96 7.54 0.00 0.00
336 Records clerks 7: Hispanic 51 11,973 31.96 6.50 25.12 5.59 30.43 8.18 12.48 4.54 0.00 0.00
336 Records clerks 8: NonHispanic 594 147,211 39.53 1.93 32.59 1.90 23.30 1.88 3.79 0.72 0.79 0.37
337 Bookkeepers, accounting, and auditing clerks 1: Total 7,239 1,817,127 36.81 0.62 33.48 0.59 24.77 0.55 4.23 0.27 0.71 0.11
337 Bookkeepers, accounting, and auditing clerks 2: Male 622 163,476 39.00 1.98 32.26 1.77 22.86 1.82 5.43 0.90 0.46 0.27
337 Bookkeepers, accounting, and auditing clerks 3: Female 6,617 1,653,650 36.59 0.66 33.60 0.61 24.96 0.57 4.11 0.27 0.74 0.12
337 Bookkeepers, accounting, and auditing clerks 4: White 6,542 1,651,362 37.21 0.64 33.46 0.56 24.39 0.59 4.20 0.28 0.73 0.12
337 Bookkeepers, accounting, and auditing clerks 5: Black 446 97,144 35.67 2.37 30.05 3.06 28.87 2.69 4.89 1.40 0.52 0.27
337 Bookkeepers, accounting, and auditing clerks 6: Other 251 68,621 28.65 3.63 38.84 3.26 28.01 3.01 3.95 1.31 0.55 0.34
337 Bookkeepers, accounting, and auditing clerks 7: Hispanic 360 90,453 31.70 2.54 32.72 2.23 27.81 2.36 6.93 1.12 0.83 0.48
337 Bookkeepers, accounting, and auditing clerks 8: NonHispanic 6,879 1,726,674 37.08 0.67 33.52 0.60 24.61 0.56 4.09 0.27 0.71 0.11
338 Payroll and timekeeping clerks 1: Total 605 150,511 34.78 2.20 32.82 2.34 28.20 2.03 3.90 0.78 0.31 0.22
338 Payroll and timekeeping clerks 2: Male 63 15,990 43.40 6.24 27.75 4.92 19.66 5.62 9.19 3.96 0.00 0.00
338 Payroll and timekeeping clerks 3: Female 542 134,521 33.75 2.30 33.42 2.45 29.21 2.08 3.27 0.71 0.35 0.25
338 Payroll and timekeeping clerks 4: White 508 129,718 35.16 2.37 32.99 2.49 27.89 2.27 3.60 0.83 0.36 0.26
338 Payroll and timekeeping clerks 5: Black 75 14,808 31.46 5.82 29.42 5.95 31.02 5.40 8.10 3.44 0.00 0.00
338 Payroll and timekeeping clerks 6: Other 22 5,985 34.73 11.05 37.53 9.65 27.75 9.99 0.00 0.00 0.00 0.00
338 Payroll and timekeeping clerks 7: Hispanic 39 9,273 51.99 9.41 22.07 7.05 20.95 6.83 4.99 3.18 0.00 0.00
338 Payroll and timekeeping clerks 8: NonHispanic 566 141,237 33.65 2.22 33.53 2.34 28.67 2.21 3.83 0.82 0.33 0.23
339 Billing clerks 1: Total 657 165,608 35.51 1.99 36.74 1.77 22.47 1.75 4.61 0.98 0.68 0.31
339 Billing clerks 2: Male 55 15,055 51.53 7.65 19.48 5.94 21.41 6.03 6.13 5.81 1.46 1.45
339 Billing clerks 3: Female 602 150,553 33.91 2.09 38.47 1.85 22.57 1.79 4.46 0.92 0.60 0.31
339 Billing clerks 4: White 557 143,857 36.14 2.10 37.51 1.98 21.45 1.82 4.22 1.07 0.68 0.34
339 Billing clerks 5: Black 76 15,636 34.55 5.27 33.26 5.66 22.73 4.78 8.51 3.08 0.95 0.94
339 Billing clerks 6: Other 24 6,115 23.30 9.35 27.51 9.84 45.49 11.95 3.71 3.48 0.00 0.00
339 Billing clerks 7: Hispanic 33 8,191 39.35 11.26 19.98 8.66 34.41 9.81 6.26 4.23 0.00 0.00
339 Billing clerks 8: NonHispanic 624 157,417 35.31 2.09 37.61 1.78 21.84 1.75 4.52 0.96 0.71 0.32
348 Telephone operators 1: Total 795 195,396 30.78 1.58 29.72 1.86 31.72 1.85 6.64 1.05 1.13 0.44
348 Telephone operators 2: Male 76 20,290 34.62 5.33 33.30 6.26 30.86 5.42 1.23 1.23 0.00 0.00
348 Telephone operators 3: Female 719 175,105 30.34 1.77 29.31 1.93 31.82 2.10 7.27 1.16 1.26 0.49
348 Telephone operators 4: White 582 149,302 30.07 1.78 29.93 2.10 33.11 2.04 5.99 1.20 0.91 0.38
348 Telephone operators 5: Black 187 38,556 35.24 3.95 30.72 3.99 26.33 3.53 7.16 2.16 0.55 0.41
348 Telephone operators 6: Other 26 7,537 22.15 11.05 20.59 6.77 31.78 12.74 16.97 5.82 8.51 8.41
348 Telephone operators 7: Hispanic 43 11,184 42.78 10.18 21.68 6.93 25.52 5.80 10.02 5.81 0.00 0.00
348 Telephone operators 8: NonHispanic 752 184,211 30.05 1.62 30.21 1.94 32.10 1.94 6.44 1.03 1.20 0.47
354 Postal clerks, except mail carriers 1: Total 1,317 310,003 33.55 1.30 35.05 1.34 24.85 1.26 5.54 0.65 1.01 0.26
354 Postal clerks, except mail carriers 2: Male 697 170,471 37.23 1.66 34.44 1.79 21.26 1.42 6.11 0.91 0.96 0.36
354 Postal clerks, except mail carriers 3: Female 620 139,532 29.04 2.12 35.79 1.97 29.24 1.96 4.85 0.91 1.07 0.41
354 Postal clerks, except mail carriers 4: White 834 207,923 36.03 1.54 36.80 1.64 21.57 1.50 4.62 0.82 0.99 0.36
354 Postal clerks, except mail carriers 5: Black 405 82,256 26.48 2.25 32.73 2.56 32.40 2.77 7.41 1.28 0.99 0.45
354 Postal clerks, except mail carriers 6: Other 78 19,824 36.84 6.54 26.32 4.72 27.97 6.43 7.55 2.58 1.32 1.28
354 Postal clerks, except mail carriers 7: Hispanic 86 21,022 27.34 4.49 39.36 4.71 25.57 4.50 6.66 3.75 1.07 1.07
354 Postal clerks, except mail carriers 8: NonHispanic 1,231 288,981 34.00 1.37 34.74 1.40 24.80 1.39 5.46 0.66 1.00 0.28
355 Mail carriers, postal service 1: Total 1,216 303,415 38.07 1.56 34.72 1.54 22.92 1.41 3.99 0.59 0.30 0.14
355 Mail carriers, postal service 2: Male 858 217,151 39.89 1.86 34.51 1.75 20.95 1.50 4.40 0.76 0.25 0.15
355 Mail carriers, postal service 3: Female 358 86,263 33.47 2.51 35.25 2.67 27.89 2.64 2.96 1.11 0.43 0.31
355 Mail carriers, postal service 4: White 1,003 251,840 39.44 1.59 34.79 1.64 21.25 1.39 4.26 0.67 0.26 0.15
355 Mail carriers, postal service 5: Black 173 39,538 32.37 4.29 34.22 4.46 30.60 4.46 2.17 1.05 0.64 0.45
355 Mail carriers, postal service 6: Other 40 12,037 27.83 10.46 34.92 7.45 32.87 10.51 4.39 3.12 0.00 0.00
355 Mail carriers, postal service 7: Hispanic 80 21,353 48.09 4.87 21.87 5.11 28.00 5.87 2.04 1.42 0.00 0.00
355 Mail carriers, postal service 8: NonHispanic 1,136 282,061 37.31 1.57 35.69 1.59 22.53 1.41 4.14 0.63 0.33 0.15
356 Mail clerks, except postal service 1: Total 715 178,110 35.62 1.97 30.38 1.98 28.38 2.00 5.15 0.79 0.48 0.22
356 Mail clerks, except postal service 2: Male 384 101,596 39.17 3.03 30.84 2.70 24.39 2.35 5.31 1.07 0.29 0.20
356 Mail clerks, except postal service 3: Female 331 76,514 30.90 2.69 29.77 2.71 33.67 2.96 4.92 1.23 0.74 0.43
356 Mail clerks, except postal service 4: White 513 134,186 36.86 2.32 31.44 2.24 26.86 2.24 4.53 0.86 0.30 0.22
356 Mail clerks, except postal service 5: Black 180 38,112 30.72 4.30 27.87 4.24 34.43 4.59 5.79 1.52 1.19 0.68
356 Mail clerks, except postal service 6: Other 22 5,812 38.83 10.09 22.26 10.33 23.86 10.00 15.05 8.27 0.00 0.00
356 Mail clerks, except postal service 7: Hispanic 66 18,429 42.87 5.86 29.64 4.89 22.32 5.36 3.95 2.76 1.22 1.23
356 Mail clerks, except postal service 8: NonHispanic 649 159,682 34.78 1.97 30.46 2.06 29.07 2.06 5.28 0.86 0.40 0.20
357 Messengers 1: Total 487 123,316 38.48 2.39 30.14 2.22 25.00 2.31 5.14 1.12 1.24 0.53
357 Messengers 2: Male 368 94,001 37.81 2.58 31.32 2.76 23.48 2.62 5.99 1.41 1.41 0.65
357 Messengers 3: Female 119 29,314 40.63 4.72 26.36 4.71 29.86 4.54 2.44 1.22 0.71 0.72
357 Messengers 4: White 379 100,817 36.00 2.51 31.71 2.70 25.82 2.72 4.97 1.25 1.52 0.64
357 Messengers 5: Black 92 18,180 45.99 5.49 26.04 4.89 20.61 3.75 7.36 2.80 0.00 0.00
357 Messengers 6: Other 16 4,319 64.93 11.49 10.66 7.80 24.41 10.49 0.00 0.00 0.00 0.00
357 Messengers 7: Hispanic 48 12,004 27.28 6.76 39.31 7.36 24.03 10.49 7.49 4.18 1.89 1.88
357 Messengers 8: NonHispanic 439 111,312 39.69 2.55 29.14 2.43 25.11 2.43 4.89 1.14 1.17 0.54
359 Dispatchers 1: Total 724 180,789 35.48 1.91 33.91 1.81 24.15 1.77 5.34 0.92 1.13 0.38
359 Dispatchers 2: Male 357 91,223 40.65 2.66 32.13 2.44 23.10 2.55 3.43 0.96 0.69 0.40
359 Dispatchers 3: Female 367 89,566 30.21 2.41 35.72 2.56 25.22 2.43 7.28 1.55 1.57 0.65
359 Dispatchers 4: White 639 162,937 36.05 1.96 34.37 1.89 23.05 1.81 5.41 0.99 1.12 0.40
359 Dispatchers 5: Black 72 14,936 33.08 6.21 28.38 6.20 35.78 6.71 2.77 1.85 0.00 0.00
359 Dispatchers 6: Other 13 2,916 15.96 10.55 36.60 13.55 25.92 14.41 14.18 9.84 7.33 7.06
359 Dispatchers 7: Hispanic 40 10,432 35.85 6.05 38.57 7.44 25.59 6.34 0.00 0.00 0.00 0.00
359 Dispatchers 8: NonHispanic 684 170,357 35.46 1.98 33.62 1.88 24.06 1.85 5.66 0.97 1.20 0.40
363 Production coordinators 1: Total 813 204,210 40.87 1.93 32.88 1.70 21.45 1.46 3.86 0.61 0.94 0.37
363 Production coordinators 2: Male 423 109,596 41.44 2.79 31.92 2.37 21.22 2.24 4.29 0.77 1.13 0.59
363 Production coordinators 3: Female 390 94,614 40.22 2.52 33.99 2.44 21.71 1.97 3.36 0.89 0.72 0.42
363 Production coordinators 4: White 723 184,024 41.80 2.11 33.42 1.77 20.63 1.53 3.22 0.57 0.92 0.39
363 Production coordinators 5: Black 68 15,000 29.64 7.64 29.00 6.43 29.96 5.72 11.40 4.08 0.00 0.00
363 Production coordinators 6: Other 22 5,187 40.51 10.13 24.85 8.73 25.67 9.45 4.53 4.49 4.43 4.34
363 Production coordinators 7: Hispanic 35 8,866 47.89 9.10 29.84 8.62 16.59 6.28 5.68 3.70 0.00 0.00
363 Production coordinators 8: NonHispanic 778 195,344 40.56 1.95 33.02 1.75 21.67 1.47 3.78 0.60 0.98 0.39
364 Traffic, shipping, and receiving clerks 1: Total 2,034 531,212 37.45 1.36 30.56 1.29 25.94 1.24 5.22 0.52 0.82 0.21
364 Traffic, shipping, and receiving clerks 2: Male 1,447 384,452 39.65 1.54 29.81 1.35 24.77 1.35 4.76 0.64 1.01 0.28
364 Traffic, shipping, and receiving clerks 3: Female 587 146,759 31.70 2.25 32.53 2.45 29.01 2.24 6.44 1.10 0.32 0.23
364 Traffic, shipping, and receiving clerks 4: White 1,640 434,475 38.07 1.33 31.41 1.41 25.09 1.32 4.61 0.57 0.82 0.22
364 Traffic, shipping, and receiving clerks 5: Black 332 77,426 34.45 2.76 26.76 2.48 30.94 2.77 7.50 1.40 0.35 0.34
364 Traffic, shipping, and receiving clerks 6: Other 62 19,310 35.71 8.25 26.62 5.74 24.96 7.54 9.94 3.73 2.77 1.84
364 Traffic, shipping, and receiving clerks 7: Hispanic 207 57,292 30.62 3.04 29.93 3.94 30.15 4.31 8.27 1.75 1.02 0.64
364 Traffic, shipping, and receiving clerks 8: NonHispanic 1,827 473,920 38.28 1.41 30.64 1.35 25.43 1.18 4.85 0.58 0.80 0.23
365 Stock and inventory clerks 1: Total 2,303 585,833 36.61 1.09 31.02 1.13 26.14 1.07 5.68 0.53 0.55 0.15
365 Stock and inventory clerks 2: Male 1,359 355,972 39.44 1.40 31.14 1.35 24.04 1.24 5.05 0.65 0.33 0.15
365 Stock and inventory clerks 3: Female 944 229,861 32.23 1.60 30.83 1.71 29.39 1.68 6.67 0.85 0.88 0.29
365 Stock and inventory clerks 4: White 1,863 483,956 37.78 1.23 30.37 1.28 25.85 1.12 5.44 0.58 0.55 0.16
365 Stock and inventory clerks 5: Black 366 81,578 29.38 2.63 34.66 2.60 28.37 2.56 6.93 1.30 0.66 0.46
365 Stock and inventory clerks 6: Other 74 20,299 37.73 5.76 31.69 4.88 24.09 4.84 6.48 3.70 0.00 0.00
365 Stock and inventory clerks 7: Hispanic 198 49,932 37.73 3.05 29.86 4.23 29.61 3.53 2.80 1.56 0.00 0.00
365 Stock and inventory clerks 8: NonHispanic 2,105 535,901 36.51 1.16 31.12 1.16 25.82 1.10 5.95 0.57 0.60 0.16
373 Expediters 1: Total 666 169,140 39.15 2.14 28.89 1.89 25.08 1.92 6.16 0.95 0.73 0.36
373 Expediters 2: Male 218 58,752 45.29 3.74 25.82 3.08 25.06 3.55 2.77 1.06 1.06 0.81
373 Expediters 3: Female 448 110,388 35.88 2.38 30.52 2.39 25.09 2.14 7.96 1.39 0.55 0.34
373 Expediters 4: White 554 143,787 39.16 2.35 29.93 2.03 24.27 2.13 5.84 1.04 0.80 0.41
373 Expediters 5: Black 93 20,203 35.20 5.04 24.49 5.31 29.93 4.59 9.98 3.26 0.41 0.41
373 Expediters 6: Other 19 5,150 54.28 11.67 17.13 9.08 28.59 11.56 0.00 0.00 0.00 0.00
373 Expediters 7: Hispanic 50 13,687 43.92 8.31 27.58 5.92 17.99 5.30 10.51 4.42 0.00 0.00
373 Expediters 8: NonHispanic 616 155,453 38.73 2.20 29.00 1.96 25.71 2.00 5.78 0.96 0.79 0.39
375 Insurance adjusters, examiners, and investigators 1: Total 1,228 304,227 40.33 1.77 35.50 1.56 20.89 1.21 2.60 0.42 0.69 0.26
375 Insurance adjusters, examiners, and investigators 2: Male 336 88,079 49.28 3.07 30.28 2.67 16.52 2.14 2.42 0.79 1.50 0.77
375 Insurance adjusters, examiners, and investigators 3: Female 892 216,148 36.66 1.85 37.63 1.78 22.67 1.47 2.67 0.48 0.36 0.19
375 Insurance adjusters, examiners, and investigators 4: White 1,019 258,407 41.51 1.79 35.37 1.57 20.11 1.28 2.24 0.45 0.77 0.30
375 Insurance adjusters, examiners, and investigators 5: Black 176 37,062 32.93 3.56 34.14 4.57 26.86 3.76 5.77 1.84 0.31 0.30
375 Insurance adjusters, examiners, and investigators 6: Other 33 8,758 36.24 10.17 44.98 10.48 18.78 5.57 0.00 0.00 0.00 0.00
375 Insurance adjusters, examiners, and investigators 7: Hispanic 75 18,714 53.94 5.54 32.32 5.66 12.60 4.53 1.14 1.14 0.00 0.00
375 Insurance adjusters, examiners, and investigators 8: NonHispanic 1,153 285,513 39.43 1.87 35.70 1.64 21.43 1.27 2.69 0.45 0.74 0.28
376 Investigators and adjusters, except insurance 1: Total 2,527 636,942 40.20 1.03 35.08 1.04 21.04 0.92 3.47 0.40 0.21 0.10
376 Investigators and adjusters, except insurance 2: Male 623 163,828 45.09 1.89 34.91 1.94 16.27 1.61 3.73 0.77 0.00 0.00
376 Investigators and adjusters, except insurance 3: Female 1,904 473,114 38.51 1.22 35.14 1.29 22.70 1.11 3.37 0.46 0.29 0.13
376 Investigators and adjusters, except insurance 4: White 2,127 544,471 40.40 1.19 35.47 1.17 20.51 0.99 3.39 0.43 0.22 0.11
376 Investigators and adjusters, except insurance 5: Black 324 73,460 37.30 2.93 33.53 2.62 24.06 2.38 4.91 1.49 0.20 0.20
376 Investigators and adjusters, except insurance 6: Other 76 19,011 45.51 6.23 29.82 6.36 24.67 6.24 0.00 0.00 0.00 0.00
376 Investigators and adjusters, except insurance 7: Hispanic 182 45,242 31.74 2.93 35.92 3.84 25.53 3.07 5.74 2.25 1.07 0.76
376 Investigators and adjusters, except insurance 8: NonHispanic 2,345 591,700 40.84 1.10 35.02 1.09 20.70 0.99 3.29 0.39 0.15 0.07
378 Bill and account collectors 1: Total 519 133,916 37.09 2.35 36.06 2.68 20.82 1.94 5.17 1.09 0.85 0.38
378 Bill and account collectors 2: Male 180 48,058 45.17 3.81 31.15 3.69 18.71 2.87 3.54 1.51 1.43 0.81
378 Bill and account collectors 3: Female 339 85,858 32.56 2.83 38.82 3.35 22.01 2.48 6.09 1.43 0.52 0.37
378 Bill and account collectors 4: White 438 114,532 36.28 2.67 36.09 3.02 21.26 2.07 5.38 1.22 0.99 0.44
378 Bill and account collectors 5: Black 72 17,327 42.64 7.01 36.43 6.50 16.50 5.31 4.42 2.36 0.00 0.00
378 Bill and account collectors 6: Other 9 2,057 35.66 14.51 31.21 13.44 33.14 16.71 0.00 0.00 0.00 0.00
378 Bill and account collectors 7: Hispanic 51 11,787 40.14 5.59 25.75 5.35 28.43 5.94 1.89 2.00 3.78 2.66
378 Bill and account collectors 8: NonHispanic 468 122,129 36.80 2.49 37.06 2.89 20.09 1.96 5.49 1.14 0.57 0.33
379 General office clerks 1: Total 4,708 1,187,412 36.48 0.85 33.11 0.78 24.48 0.65 5.18 0.38 0.75 0.12
379 General office clerks 2: Male 804 217,103 41.65 1.88 30.62 1.82 21.02 1.57 5.19 0.89 1.51 0.42
379 General office clerks 3: Female 3,904 970,309 35.32 0.88 33.67 0.83 25.25 0.72 5.18 0.40 0.58 0.12
379 General office clerks 4: White 3,819 992,097 36.96 0.93 33.37 0.82 24.09 0.76 4.83 0.40 0.74 0.14
379 General office clerks 5: Black 714 147,483 34.52 2.15 30.58 2.02 26.84 1.96 7.01 0.97 1.05 0.35
379 General office clerks 6: Other 175 47,832 32.45 3.73 35.49 3.65 25.25 3.57 6.82 2.71 0.00 0.00
379 General office clerks 7: Hispanic 367 93,915 34.64 2.78 31.42 2.65 27.15 2.42 5.58 1.26 1.20 0.49
379 General office clerks 8: NonHispanic 4,341 1,093,497 36.64 0.89 33.26 0.81 24.25 0.66 5.15 0.39 0.71 0.13
383 Bank tellers 1: Total 1,791 452,802 39.93 1.30 36.57 1.17 20.22 1.07 3.03 0.43 0.25 0.13
383 Bank tellers 2: Male 150 39,851 51.16 4.10 31.63 4.03 15.03 3.05 2.19 1.02 0.00 0.00
383 Bank tellers 3: Female 1,641 412,951 38.84 1.39 37.05 1.27 20.72 1.10 3.11 0.46 0.28 0.14
383 Bank tellers 4: White 1,524 391,439 40.52 1.37 37.19 1.31 19.45 1.10 2.55 0.39 0.29 0.15
383 Bank tellers 5: Black 204 43,808 34.97 3.75 33.44 3.35 24.59 3.40 7.00 2.35 0.00 0.00
383 Bank tellers 6: Other 63 17,555 39.33 6.29 30.52 5.87 26.34 6.65 3.82 2.21 0.00 0.00
383 Bank tellers 7: Hispanic 132 34,169 43.67 4.13 31.34 4.24 17.74 2.41 6.47 2.17 0.78 0.77
383 Bank tellers 8: NonHispanic 1,659 418,633 39.63 1.39 37.00 1.24 20.42 1.14 2.75 0.42 0.21 0.13
385 Data-entry keyers 1: Total 2,007 485,635 34.28 1.10 34.34 1.10 25.28 0.99 5.34 0.56 0.76 0.19
385 Data-entry keyers 2: Male 284 73,725 41.33 3.07 32.89 3.45 18.48 2.27 5.58 1.45 1.72 0.80
385 Data-entry keyers 3: Female 1,723 411,909 33.02 1.20 34.60 1.18 26.50 1.14 5.30 0.55 0.58 0.19
385 Data-entry keyers 4: White 1,453 365,475 36.02 1.33 34.29 1.29 23.63 1.13 5.28 0.68 0.78 0.22
385 Data-entry keyers 5: Black 448 91,883 29.46 2.60 34.10 2.69 30.65 2.80 4.89 0.94 0.89 0.43
385 Data-entry keyers 6: Other 106 28,277 27.44 4.65 35.74 5.83 29.26 4.29 7.57 2.96 0.00 0.00
385 Data-entry keyers 7: Hispanic 143 35,687 29.28 4.69 29.86 3.88 35.83 4.45 5.03 2.08 0.00 0.00
385 Data-entry keyers 8: NonHispanic 1,864 449,947 34.68 1.13 34.69 1.12 24.45 1.02 5.37 0.56 0.82 0.20
387 Teachers aides 1: Total 1,625 388,785 33.51 1.36 32.62 1.28 27.26 1.22 5.98 0.61 0.62 0.19
387 Teachers aides 2: Male 86 21,414 42.58 6.18 29.47 5.41 25.83 6.67 2.12 1.46 0.00 0.00
387 Teachers aides 3: Female 1,539 367,370 32.98 1.36 32.80 1.26 27.35 1.18 6.21 0.64 0.66 0.20
387 Teachers aides 4: White 1,261 314,883 34.96 1.52 33.36 1.47 25.64 1.41 5.49 0.67 0.56 0.22
387 Teachers aides 5: Black 320 61,772 25.47 2.93 30.24 2.55 34.64 2.84 8.60 1.81 1.05 0.61
387 Teachers aides 6: Other 44 12,130 37.09 8.13 25.69 6.30 31.69 10.64 5.54 2.78 0.00 0.00
387 Teachers aides 7: Hispanic 210 52,219 26.86 3.30 32.25 4.31 33.76 4.20 6.25 1.35 0.88 0.62
387 Teachers aides 8: NonHispanic 1,415 336,566 34.54 1.42 32.68 1.27 26.26 1.31 5.94 0.67 0.58 0.21
389 Administrative support occs 1: Total 2,890 717,172 38.36 1.04 33.88 0.95 23.34 0.99 3.51 0.36 0.91 0.19
389 Administrative support occs 2: Male 650 169,607 42.96 2.20 32.83 2.16 20.17 1.66 3.60 0.79 0.43 0.29
389 Administrative support occs 3: Female 2,240 547,564 36.94 1.13 34.20 1.10 24.32 1.11 3.48 0.37 1.06 0.22
389 Administrative support occs 4: White 2,371 603,814 40.11 1.07 33.88 0.98 21.90 1.00 3.22 0.39 0.90 0.22
389 Administrative support occs 5: Black 405 82,999 28.38 2.60 31.87 2.60 32.90 2.67 5.54 1.16 1.31 0.66
389 Administrative support occs 6: Other 114 30,359 30.92 5.16 39.44 6.04 25.88 4.41 3.75 1.65 0.00 0.00
389 Administrative support occs 7: Hispanic 171 43,281 35.22 3.64 30.59 3.72 26.58 3.86 7.62 2.17 0.00 0.00
389 Administrative support occs 8: NonHispanic 2,719 673,891 38.57 1.12 34.09 1.04 23.13 1.02 3.25 0.34 0.97 0.20
406 Child care workers, private household 1: Total 735 184,736 28.75 2.00 31.63 1.76 28.19 1.79 10.47 1.11 0.96 0.37
406 Child care workers, private household 2: Male 13 4,252 61.18 14.91 25.12 13.23 13.69 9.71 0.00 0.00 0.00 0.00
406 Child care workers, private household 3: Female 722 180,484 27.98 1.96 31.78 1.76 28.53 1.83 10.72 1.14 0.98 0.38
406 Child care workers, private household 4: White 581 152,239 29.31 2.19 32.04 2.09 27.88 2.01 9.88 1.20 0.90 0.43
406 Child care workers, private household 5: Black 130 25,514 21.61 3.59 28.87 5.35 32.60 4.92 16.12 3.53 0.80 0.62
406 Child care workers, private household 6: Other 24 6,983 42.61 13.68 32.70 13.12 18.93 9.91 2.88 2.92 2.87 2.86
406 Child care workers, private household 7: Hispanic 77 20,558 32.60 5.95 22.97 5.56 32.03 5.94 12.40 3.11 0.00 0.00
406 Child care workers, private household 8: NonHispanic 658 164,178 28.26 2.14 32.71 1.86 27.71 1.81 10.23 1.20 1.08 0.42
407 Private household cleaners and servants 1: Total 2,307 515,168 22.43 0.98 26.24 1.12 33.34 1.18 15.13 0.88 2.86 0.37
407 Private household cleaners and servants 2: Male 112 27,623 29.56 5.18 28.24 4.76 29.48 5.01 11.51 3.32 1.21 0.85
407 Private household cleaners and servants 3: Female 2,195 487,545 22.02 0.98 26.13 1.10 33.56 1.16 15.33 0.91 2.96 0.39
407 Private household cleaners and servants 4: White 1,353 334,219 25.74 1.29 28.64 1.44 31.59 1.41 12.49 1.03 1.55 0.31
407 Private household cleaners and servants 5: Black 913 169,563 16.00 1.40 21.11 1.61 36.41 1.84 20.96 1.64 5.51 0.86
407 Private household cleaners and servants 6: Other 41 11,386 21.11 6.04 32.43 7.47 38.94 8.51 5.59 3.38 1.94 1.91
407 Private household cleaners and servants 7: Hispanic 380 93,012 25.04 2.77 26.98 2.71 31.85 2.60 14.15 1.99 1.98 0.67
407 Private household cleaners and servants 8: NonHispanic 1,927 422,156 21.85 1.04 26.08 1.17 33.66 1.27 15.34 0.93 3.06 0.43
417 Firefighting occs 1: Total 770 198,277 53.33 2.12 31.25 2.03 13.83 1.26 1.47 0.41 0.11 0.11
417 Firefighting occs 2: Male 750 193,361 53.43 2.10 31.35 2.03 13.60 1.25 1.51 0.42 0.11 0.11
417 Firefighting occs 3: Female 20 4,916 49.54 11.50 27.37 9.74 23.09 9.54 0.00 0.00 0.00 0.00
417 Firefighting occs 4: White 670 173,027 54.55 2.30 31.44 2.14 12.66 1.29 1.22 0.41 0.13 0.12
417 Firefighting occs 5: Black 82 19,686 44.53 5.64 29.76 5.39 21.56 6.06 4.16 2.37 0.00 0.00
417 Firefighting occs 6: Other 18 5,564 46.63 13.42 30.58 11.67 22.79 9.89 0.00 0.00 0.00 0.00
417 Firefighting occs 7: Hispanic 46 11,259 65.40 6.63 22.06 5.44 10.60 4.50 1.94 1.99 0.00 0.00
417 Firefighting occs 8: NonHispanic 724 187,017 52.61 2.28 31.80 2.14 14.03 1.34 1.45 0.42 0.12 0.11
418 Police and detectives, public service 1: Total 1,842 481,710 49.18 1.14 32.83 1.11 15.41 1.01 2.12 0.36 0.46 0.15
418 Police and detectives, public service 2: Male 1,617 427,880 49.67 1.23 32.70 1.16 15.10 0.98 2.02 0.36 0.51 0.16
418 Police and detectives, public service 3: Female 225 53,830 45.29 3.76 33.90 3.40 17.87 3.64 2.93 1.21 0.00 0.00
418 Police and detectives, public service 4: White 1,576 415,697 48.87 1.28 33.73 1.18 15.05 1.00 1.95 0.37 0.41 0.15
418 Police and detectives, public service 5: Black 235 57,495 51.75 3.44 27.99 3.32 15.70 2.85 3.72 1.39 0.83 0.59
418 Police and detectives, public service 6: Other 31 8,517 47.09 9.73 21.60 10.33 31.31 8.20 0.00 0.00 0.00 0.00
418 Police and detectives, public service 7: Hispanic 133 35,570 45.52 4.01 33.69 4.17 17.47 3.94 2.69 1.51 0.63 0.64
418 Police and detectives, public service 8: NonHispanic 1,709 446,140 49.47 1.21 32.76 1.19 15.25 1.03 2.08 0.37 0.44 0.15
423 Sheriffs/bailiffs/other law enforcement officers 1: Total 487 127,159 44.31 2.39 29.01 2.12 21.20 1.78 4.88 1.13 0.61 0.35
423 Sheriffs/bailiffs/other law enforcement officers 2: Male 406 108,386 45.43 2.60 28.67 2.27 20.41 1.98 4.78 1.27 0.71 0.41
423 Sheriffs/bailiffs/other law enforcement officers 3: Female 81 18,773 37.86 5.39 30.97 4.85 25.70 4.96 5.47 2.35 0.00 0.00
423 Sheriffs/bailiffs/other law enforcement officers 4: White 414 110,731 45.42 2.63 29.60 2.27 19.84 1.99 4.68 1.24 0.46 0.33
423 Sheriffs/bailiffs/other law enforcement officers 5: Black 66 14,369 33.99 6.63 23.25 5.52 33.67 6.28 7.22 3.29 1.87 1.84
423 Sheriffs/bailiffs/other law enforcement officers 6: Other 7 2,059 53.69 14.66 35.66 11.42 10.64 5.02 0.00 0.00 0.00 0.00
423 Sheriffs/bailiffs/other law enforcement officers 7: Hispanic 27 7,896 62.08 9.37 19.42 6.60 13.98 5.89 4.52 4.40 0.00 0.00
423 Sheriffs/bailiffs/other law enforcement officers 8: NonHispanic 460 119,263 43.13 2.43 29.65 2.23 21.68 1.87 4.91 1.17 0.65 0.38
424 Correctional institution officers 1: Total 853 219,927 37.14 1.82 34.60 1.82 23.13 1.90 4.78 0.87 0.35 0.18
424 Correctional institution officers 2: Male 657 173,618 40.04 1.93 32.51 2.04 22.92 1.87 4.18 0.78 0.35 0.21
424 Correctional institution officers 3: Female 196 46,309 26.25 3.46 42.46 3.16 23.95 3.77 7.03 3.95 0.32 0.32
424 Correctional institution officers 4: White 598 156,718 37.96 2.10 36.37 2.16 20.73 1.83 4.55 0.90 0.39 0.23
424 Correctional institution officers 5: Black 246 60,620 32.74 2.63 31.13 3.23 30.31 4.18 5.57 1.45 0.24 0.24
424 Correctional institution officers 6: Other 9 2,589 91.04 8.86 8.96 8.86 0.00 0.00 0.00 0.00 0.00 0.00
424 Correctional institution officers 7: Hispanic 61 16,375 37.39 6.02 37.00 6.36 18.93 5.28 5.54 3.28 1.14 1.18
424 Correctional institution officers 8: NonHispanic 792 203,552 37.12 1.92 34.41 1.87 23.47 2.09 4.72 0.94 0.28 0.18
426 Guards and police, except public service 1: Total 2,571 650,456 33.56 1.24 29.39 1.10 28.09 0.88 7.53 0.60 1.43 0.27
426 Guards and police, except public service 2: Male 2,154 552,369 35.02 1.34 28.31 1.11 27.79 0.98 7.36 0.67 1.52 0.30
426 Guards and police, except public service 3: Female 417 98,086 25.35 2.30 35.42 2.61 29.76 2.49 8.50 1.41 0.98 0.45
426 Guards and police, except public service 4: White 1,811 480,103 33.73 1.41 30.01 1.34 27.00 1.05 7.52 0.76 1.74 0.35
426 Guards and police, except public service 5: Black 677 149,390 32.57 2.16 27.32 2.27 31.35 1.67 8.11 1.08 0.64 0.34
426 Guards and police, except public service 6: Other 83 20,963 36.76 6.51 29.69 5.86 29.76 5.03 3.80 1.96 0.00 0.00
426 Guards and police, except public service 7: Hispanic 197 50,594 34.74 3.55 28.52 2.90 30.63 2.89 4.41 1.34 1.71 1.04
426 Guards and police, except public service 8: NonHispanic 2,374 599,862 33.46 1.27 29.46 1.16 27.87 0.90 7.79 0.64 1.41 0.27
433 Supervisors, food preparation and service occs 1: Total 1,006 259,072 34.76 1.67 31.21 1.58 27.76 1.41 5.44 0.70 0.84 0.27
433 Supervisors, food preparation and service occs 2: Male 403 104,802 41.04 2.74 30.90 2.55 22.29 1.90 5.53 1.14 0.23 0.24
433 Supervisors, food preparation and service occs 3: Female 603 154,270 30.48 2.06 31.41 2.09 31.49 2.00 5.37 0.97 1.25 0.42
433 Supervisors, food preparation and service occs 4: White 770 204,666 36.25 1.85 31.37 1.72 26.47 1.66 5.05 0.81 0.86 0.30
433 Supervisors, food preparation and service occs 5: Black 168 34,444 33.08 4.33 25.92 3.72 32.84 3.75 7.00 1.96 1.15 0.87
433 Supervisors, food preparation and service occs 6: Other 68 19,962 22.37 5.08 38.62 8.14 32.29 5.71 6.72 2.99 0.00 0.00
433 Supervisors, food preparation and service occs 7: Hispanic 87 25,251 38.70 6.55 23.78 5.27 25.25 4.17 12.26 3.83 0.00 0.00
433 Supervisors, food preparation and service occs 8: NonHispanic 919 233,821 34.33 1.79 32.01 1.62 28.03 1.53 4.70 0.73 0.93 0.30
434 Bartenders 1: Total 1,277 344,383 36.46 1.57 30.04 1.47 26.98 1.36 6.01 0.89 0.51 0.18
434 Bartenders 2: Male 609 165,509 39.01 2.11 30.42 2.25 26.21 2.00 3.99 0.93 0.38 0.22
434 Bartenders 3: Female 668 178,873 34.09 2.14 29.69 1.96 27.70 1.89 7.88 1.26 0.64 0.29
434 Bartenders 4: White 1,178 316,379 36.42 1.61 30.02 1.49 27.10 1.54 5.98 0.90 0.48 0.18
434 Bartenders 5: Black 62 16,534 36.70 7.31 32.93 7.67 27.01 6.69 3.36 1.89 0.00 0.00
434 Bartenders 6: Other 37 11,470 37.15 9.76 26.33 11.37 23.77 7.28 10.70 4.95 2.06 2.12
434 Bartenders 7: Hispanic 73 19,323 33.43 6.40 32.23 6.56 28.40 5.73 5.94 2.91 0.00 0.00
434 Bartenders 8: NonHispanic 1,204 325,059 36.64 1.66 29.91 1.44 26.90 1.45 6.01 0.93 0.54 0.19
435 Waiters and waitresses 1: Total 4,834 1,243,450 37.63 0.76 32.63 0.72 23.28 0.61 5.65 0.38 0.81 0.14
435 Waiters and waitresses 2: Male 831 223,627 47.45 2.04 30.84 1.85 19.20 1.50 2.51 0.52 0.00 0.00
435 Waiters and waitresses 3: Female 4,003 1,019,824 35.48 0.84 33.02 0.80 24.17 0.67 6.34 0.47 0.99 0.17
435 Waiters and waitresses 4: White 4,303 1,111,262 38.45 0.81 32.70 0.79 22.74 0.68 5.29 0.38 0.82 0.15
435 Waiters and waitresses 5: Black 276 61,054 31.23 3.25 33.65 3.55 26.29 3.19 8.45 2.37 0.38 0.39
435 Waiters and waitresses 6: Other 255 71,135 30.25 3.07 30.63 3.06 29.20 3.65 8.98 2.85 0.94 0.62
435 Waiters and waitresses 7: Hispanic 372 95,550 35.73 2.79 29.14 2.47 26.91 2.14 7.11 1.42 1.11 0.58
435 Waiters and waitresses 8: NonHispanic 4,462 1,147,900 37.79 0.83 32.92 0.79 22.98 0.64 5.53 0.39 0.78 0.14
436 Cooks 1: Total 6,414 1,587,227 31.05 0.70 29.85 0.58 29.59 0.68 8.34 0.38 1.17 0.16
436 Cooks 2: Male 2,992 783,771 38.58 0.99 30.73 0.92 24.71 0.93 5.39 0.47 0.59 0.15
436 Cooks 3: Female 3,422 803,457 23.71 0.80 29.00 0.79 34.35 0.96 11.21 0.54 1.74 0.28
436 Cooks 4: White 4,547 1,172,926 32.15 0.82 31.45 0.70 27.86 0.77 7.54 0.46 1.00 0.17
436 Cooks 5: Black 1,439 300,435 26.53 1.37 24.59 1.42 34.86 1.68 11.94 0.94 2.08 0.48
436 Cooks 6: Other 428 113,866 31.60 2.40 27.27 2.17 33.55 2.65 6.97 1.41 0.61 0.36
436 Cooks 7: Hispanic 808 209,332 31.97 1.87 27.93 1.72 31.42 1.71 7.77 1.02 0.92 0.36
436 Cooks 8: NonHispanic 5,606 1,377,895 30.91 0.75 30.14 0.61 29.32 0.72 8.42 0.40 1.21 0.17
438 Food counter/fountain/related occs 1: Total 695 176,859 36.51 2.01 32.84 2.05 24.22 1.83 6.29 0.98 0.14 0.14
438 Food counter/fountain/related occs 2: Male 168 45,699 48.64 4.97 31.07 4.86 15.86 3.28 4.43 1.90 0.00 0.00
438 Food counter/fountain/related occs 3: Female 527 131,160 32.34 2.17 33.46 2.26 27.09 2.21 6.93 1.17 0.19 0.19
438 Food counter/fountain/related occs 4: White 567 146,014 35.96 2.19 33.17 2.10 25.14 1.95 5.56 0.98 0.17 0.17
438 Food counter/fountain/related occs 5: Black 94 19,953 41.76 5.96 19.30 5.31 30.73 5.39 8.21 3.07 0.00 0.00
438 Food counter/fountain/related occs 6: Other 34 10,892 34.33 6.63 53.18 8.51 0.00 0.00 12.49 7.42 0.00 0.00
438 Food counter/fountain/related occs 7: Hispanic 67 17,933 30.91 7.16 38.63 5.02 21.78 4.92 8.68 3.89 0.00 0.00
438 Food counter/fountain/related occs 8: NonHispanic 628 158,926 37.13 2.01 32.20 2.21 24.49 2.00 6.02 0.99 0.15 0.15
439 Kitchen workers, food preparation 1: Total 789 192,563 31.64 2.01 28.38 1.82 31.23 1.86 7.99 0.94 0.76 0.31
439 Kitchen workers, food preparation 2: Male 228 57,965 38.90 3.74 30.70 3.68 25.61 3.62 4.35 1.16 0.44 0.44
439 Kitchen workers, food preparation 3: Female 561 134,598 28.51 2.08 27.38 2.03 33.65 2.15 9.57 1.21 0.90 0.40
439 Kitchen workers, food preparation 4: White 625 157,272 31.67 2.06 29.30 2.03 29.92 2.03 8.18 1.07 0.93 0.38
439 Kitchen workers, food preparation 5: Black 131 26,793 36.40 5.40 21.65 4.80 35.02 4.74 6.93 2.39 0.00 0.00
439 Kitchen workers, food preparation 6: Other 33 8,499 15.96 5.97 32.64 7.96 43.41 9.24 7.99 4.50 0.00 0.00
439 Kitchen workers, food preparation 7: Hispanic 110 27,503 32.30 4.49 23.79 4.60 32.81 5.26 11.11 3.40 0.00 0.00
439 Kitchen workers, food preparation 8: NonHispanic 679 165,061 31.53 2.20 29.15 1.92 30.96 1.95 7.47 0.97 0.89 0.36
443 Waiters/waitresses assistants 1: Total 1,045 264,739 37.16 1.76 29.16 1.38 26.12 1.42 6.72 0.96 0.84 0.28
443 Waiters/waitresses assistants 2: Male 518 136,888 40.77 2.82 29.91 2.09 23.37 2.11 5.00 1.07 0.95 0.42
443 Waiters/waitresses assistants 3: Female 527 127,851 33.30 2.34 28.34 2.15 29.08 2.04 8.57 1.43 0.72 0.36
443 Waiters/waitresses assistants 4: White 751 198,354 36.96 2.19 30.96 1.73 25.42 1.94 5.66 0.99 1.00 0.34
443 Waiters/waitresses assistants 5: Black 217 45,895 36.55 4.29 23.43 3.32 26.82 3.18 12.68 2.75 0.53 0.53
443 Waiters/waitresses assistants 6: Other 77 20,490 40.47 6.49 24.51 5.13 31.36 5.80 3.66 2.12 0.00 0.00
443 Waiters/waitresses assistants 7: Hispanic 219 57,751 28.38 3.20 31.42 3.24 33.84 3.94 6.00 2.02 0.37 0.35
443 Waiters/waitresses assistants 8: NonHispanic 826 206,988 39.62 2.00 28.52 1.59 23.97 1.37 6.92 0.97 0.97 0.34
444 Miscellaneous food preparation occs 1: Total 2,037 501,893 29.76 1.17 29.57 1.06 30.60 1.16 9.11 0.72 0.95 0.25
444 Miscellaneous food preparation occs 2: Male 828 215,820 36.57 1.84 29.75 1.63 25.89 1.79 6.30 0.86 1.48 0.49
444 Miscellaneous food preparation occs 3: Female 1,209 286,073 24.64 1.53 29.44 1.31 34.13 1.51 11.22 1.11 0.55 0.23
444 Miscellaneous food preparation occs 4: White 1,446 370,694 29.64 1.30 31.54 1.22 29.67 1.32 8.12 0.77 1.03 0.31
444 Miscellaneous food preparation occs 5: Black 483 99,163 26.77 2.41 25.32 2.08 34.71 2.50 12.48 1.58 0.72 0.46
444 Miscellaneous food preparation occs 6: Other 108 32,036 40.52 4.84 19.82 3.87 28.61 4.09 10.30 3.14 0.74 0.74
444 Miscellaneous food preparation occs 7: Hispanic 344 84,834 26.18 2.86 30.23 2.63 35.16 2.88 8.09 1.61 0.32 0.33
444 Miscellaneous food preparation occs 8: NonHispanic 1,693 417,059 30.49 1.39 29.44 1.11 29.67 1.29 9.32 0.83 1.08 0.29
445 Dental assistants 1: Total 693 176,208 45.65 2.17 31.56 1.98 20.68 1.59 1.79 0.60 0.32 0.23
445 Dental assistants 2: Male 10 2,344 58.79 14.66 31.92 15.55 9.30 8.21 0.00 0.00 0.00 0.00
445 Dental assistants 3: Female 683 173,864 45.47 2.19 31.56 1.99 20.84 1.60 1.81 0.61 0.33 0.24
445 Dental assistants 4: White 624 158,379 47.06 2.33 30.87 2.06 19.94 1.62 1.77 0.53 0.36 0.26
445 Dental assistants 5: Black 37 9,318 29.62 10.00 35.38 8.37 31.27 9.08 3.74 3.67 0.00 0.00
445 Dental assistants 6: Other 32 8,511 36.97 8.63 40.20 8.44 22.84 8.42 0.00 0.00 0.00 0.00
445 Dental assistants 7: Hispanic 55 14,666 38.60 7.21 21.69 6.08 38.21 6.65 1.50 1.38 0.00 0.00
445 Dental assistants 8: NonHispanic 638 161,542 46.29 2.21 32.46 2.00 19.09 1.58 1.81 0.57 0.35 0.26
446 Health aides, except nursing 1: Total 1,368 333,037 35.61 1.35 30.61 1.27 26.93 1.31 5.84 0.64 1.01 0.33
446 Health aides, except nursing 2: Male 207 51,970 39.61 3.92 26.23 3.74 28.22 3.39 5.94 1.63 0.00 0.00
446 Health aides, except nursing 3: Female 1,161 281,067 34.87 1.48 31.42 1.39 26.69 1.41 5.83 0.70 1.19 0.39
446 Health aides, except nursing 4: White 1,007 257,471 35.95 1.57 31.53 1.56 26.34 1.50 5.02 0.71 1.17 0.43
446 Health aides, except nursing 5: Black 307 61,364 32.00 2.67 28.00 2.82 29.06 2.59 10.36 1.79 0.57 0.35
446 Health aides, except nursing 6: Other 54 14,202 45.15 7.35 25.34 5.71 28.28 6.32 1.23 1.21 0.00 0.00
446 Health aides, except nursing 7: Hispanic 111 28,147 30.95 3.89 39.21 4.38 22.18 3.71 7.65 2.84 0.00 0.00
446 Health aides, except nursing 8: NonHispanic 1,257 304,890 36.04 1.36 29.82 1.30 27.37 1.37 5.68 0.68 1.10 0.36
447 Nursing aides, orderlies, and attendants 1: Total 6,447 1,477,561 26.39 0.69 28.15 0.76 33.35 0.73 10.69 0.44 1.43 0.16
447 Nursing aides, orderlies, and attendants 2: Male 603 153,470 37.29 2.26 27.47 2.31 28.00 2.15 5.70 0.91 1.54 0.59
447 Nursing aides, orderlies, and attendants 3: Female 5,844 1,324,091 25.13 0.67 28.23 0.74 33.96 0.72 11.26 0.49 1.42 0.16
447 Nursing aides, orderlies, and attendants 4: White 3,846 961,155 27.89 0.81 29.86 0.96 31.68 0.81 9.21 0.49 1.36 0.18
447 Nursing aides, orderlies, and attendants 5: Black 2,377 458,338 22.23 1.07 24.78 1.22 37.20 1.17 14.13 0.81 1.65 0.33
447 Nursing aides, orderlies, and attendants 6: Other 224 58,068 34.34 3.22 26.46 3.34 30.47 2.98 7.93 1.89 0.81 0.55
447 Nursing aides, orderlies, and attendants 7: Hispanic 466 114,207 28.59 2.59 21.87 2.08 34.77 2.84 12.83 1.80 1.95 0.58
447 Nursing aides, orderlies, and attendants 8: NonHispanic 5,981 1,363,354 26.20 0.71 28.68 0.80 33.23 0.70 10.51 0.48 1.39 0.16
448 Supervisors, cleaning and building service workers 1: Total 661 159,703 31.54 1.96 28.74 2.01 30.25 1.97 8.53 1.02 0.95 0.40
448 Supervisors, cleaning and building service workers 2: Male 404 105,146 35.88 2.37 29.89 2.59 27.43 2.47 6.62 1.17 0.19 0.19
448 Supervisors, cleaning and building service workers 3: Female 257 54,556 23.08 2.81 26.50 3.05 35.74 3.29 12.25 2.23 2.42 1.12
448 Supervisors, cleaning and building service workers 4: White 446 114,658 33.73 2.39 29.22 2.35 28.63 2.32 7.11 1.09 1.32 0.55
448 Supervisors, cleaning and building service workers 5: Black 192 38,557 25.58 3.33 25.99 3.92 35.91 4.05 12.52 2.44 0.00 0.00
448 Supervisors, cleaning and building service workers 6: Other 23 6,487 28.41 10.12 36.64 8.73 25.16 10.83 9.80 9.12 0.00 0.00
448 Supervisors, cleaning and building service workers 7: Hispanic 66 16,618 46.73 7.08 18.91 5.32 23.91 6.25 9.13 2.87 1.31 1.32
448 Supervisors, cleaning and building service workers 8: NonHispanic 595 143,085 29.76 1.93 29.88 2.11 30.99 2.04 8.46 1.08 0.90 0.42
449 Maids and housemen 1: Total 2,366 551,376 25.22 1.17 27.01 1.11 35.50 1.25 10.87 0.67 1.41 0.28
449 Maids and housemen 2: Male 388 96,994 33.01 2.93 24.39 2.15 34.74 2.77 7.37 1.30 0.49 0.35
449 Maids and housemen 3: Female 1,978 454,381 23.55 1.16 27.57 1.21 35.66 1.35 11.62 0.78 1.61 0.33
449 Maids and housemen 4: White 1,409 354,519 25.17 1.44 30.45 1.39 33.63 1.48 9.41 0.75 1.34 0.38
449 Maids and housemen 5: Black 835 163,377 23.24 1.70 20.39 1.76 40.52 2.21 14.13 1.31 1.71 0.51
449 Maids and housemen 6: Other 122 33,480 35.29 4.70 22.75 4.33 30.83 4.19 10.41 3.32 0.72 0.71
449 Maids and housemen 7: Hispanic 367 92,528 23.68 2.71 28.21 2.33 38.29 2.87 8.24 1.49 1.59 0.62
449 Maids and housemen 8: NonHispanic 1,999 458,848 25.53 1.20 26.77 1.24 34.93 1.33 11.40 0.74 1.37 0.32
453 Janitors and cleaners 1: Total 8,601 2,067,101 28.98 0.55 28.15 0.66 31.25 0.61 10.11 0.36 1.52 0.15
453 Janitors and cleaners 2: Male 5,744 1,409,633 31.44 0.69 28.70 0.81 29.49 0.81 9.08 0.45 1.30 0.18
453 Janitors and cleaners 3: Female 2,857 657,468 23.73 0.88 26.96 0.86 35.02 0.94 12.31 0.67 1.98 0.26
453 Janitors and cleaners 4: White 5,982 1,517,278 30.08 0.65 29.07 0.75 30.35 0.75 9.16 0.40 1.33 0.14
453 Janitors and cleaners 5: Black 2,303 459,686 25.12 1.09 25.65 1.17 33.88 1.16 13.02 0.81 2.32 0.43
453 Janitors and cleaners 6: Other 316 90,137 30.14 3.12 25.27 3.67 32.94 3.92 11.15 1.64 0.49 0.35
453 Janitors and cleaners 7: Hispanic 1,123 282,343 28.17 1.26 27.59 1.87 30.35 1.64 12.09 0.91 1.80 0.34
453 Janitors and cleaners 8: NonHispanic 7,478 1,784,758 29.11 0.59 28.23 0.67 31.39 0.64 9.79 0.39 1.47 0.17
458 Hairdressers and cosmetologists 1: Total 2,972 741,546 37.53 0.98 31.53 0.95 24.50 0.88 5.35 0.45 1.10 0.21
458 Hairdressers and cosmetologists 2: Male 264 68,233 40.60 3.20 29.50 3.13 24.11 2.51 4.77 1.50 1.01 0.76
458 Hairdressers and cosmetologists 3: Female 2,708 673,312 37.22 1.00 31.73 0.99 24.54 0.90 5.41 0.48 1.11 0.22
458 Hairdressers and cosmetologists 4: White 2,544 648,508 38.73 1.08 32.04 1.02 23.52 0.98 4.68 0.47 1.03 0.22
458 Hairdressers and cosmetologists 5: Black 306 60,742 25.95 2.83 28.83 2.57 32.17 3.32 12.08 2.34 0.97 0.61
458 Hairdressers and cosmetologists 6: Other 122 32,296 35.12 4.74 26.28 3.89 29.82 4.53 6.08 2.59 2.70 1.47
458 Hairdressers and cosmetologists 7: Hispanic 192 51,330 37.77 3.63 21.12 2.81 34.00 4.69 6.31 2.63 0.80 0.57
458 Hairdressers and cosmetologists 8: NonHispanic 2,780 690,216 37.51 1.02 32.31 1.00 23.79 0.88 5.28 0.43 1.12 0.22
459 Attendants, amusement and recreation facilities 1: Total 442 120,428 43.25 2.90 30.91 2.05 20.51 2.95 3.95 0.85 1.38 0.69
459 Attendants, amusement and recreation facilities 2: Male 277 77,155 44.40 3.52 29.49 2.71 20.58 3.71 3.37 0.93 2.15 1.10
459 Attendants, amusement and recreation facilities 3: Female 165 43,272 41.19 3.70 33.44 3.72 20.38 3.59 4.99 1.47 0.00 0.00
459 Attendants, amusement and recreation facilities 4: White 374 102,381 44.62 2.99 31.51 2.56 18.47 3.60 3.77 0.92 1.62 0.81
459 Attendants, amusement and recreation facilities 5: Black 42 9,840 47.10 10.86 22.72 6.51 21.08 7.37 9.10 3.94 0.00 0.00
459 Attendants, amusement and recreation facilities 6: Other 26 8,206 21.62 8.13 33.26 7.00 45.12 8.77 0.00 0.00 0.00 0.00
459 Attendants, amusement and recreation facilities 7: Hispanic 28 6,990 24.12 9.98 33.73 8.49 32.17 7.72 9.98 5.45 0.00 0.00
459 Attendants, amusement and recreation facilities 8: NonHispanic 414 113,438 44.44 2.93 30.73 2.32 19.79 2.89 3.58 0.86 1.46 0.73
468 Child care workers 1: Total 3,537 855,757 32.38 0.89 31.51 0.85 27.38 0.86 7.23 0.43 1.49 0.21
468 Child care workers 2: Male 117 30,500 39.17 5.51 29.08 4.51 23.48 4.57 4.74 1.87 3.53 1.77
468 Child care workers 3: Female 3,420 825,256 32.14 0.87 31.60 0.87 27.52 0.86 7.33 0.44 1.42 0.21
468 Child care workers 4: White 2,892 724,662 33.93 0.93 32.45 0.96 26.25 0.93 6.13 0.45 1.24 0.22
468 Child care workers 5: Black 567 110,510 22.51 2.31 26.16 2.15 34.41 2.22 13.52 1.48 3.39 0.80
468 Child care workers 6: Other 78 20,585 30.62 6.00 27.02 5.27 29.52 5.08 12.84 4.42 0.00 0.00
468 Child care workers 7: Hispanic 268 65,679 29.37 2.79 27.07 3.14 32.93 3.04 9.23 1.75 1.40 0.70
468 Child care workers 8: NonHispanic 3,269 790,077 32.63 0.89 31.89 0.89 26.91 0.86 7.07 0.45 1.50 0.21
469 Personal service occs, ne.c. 1: Total 894 222,426 36.71 1.68 28.02 1.64 25.37 1.49 8.69 1.13 1.21 0.37
469 Personal service occs, ne.c. 2: Male 277 71,762 46.41 3.27 23.03 2.24 21.45 2.29 8.36 1.90 0.75 0.54
469 Personal service occs, ne.c. 3: Female 617 150,664 32.11 2.14 30.39 2.23 27.23 1.87 8.85 1.30 1.43 0.46
469 Personal service occs, ne.c. 4: White 675 177,821 37.98 1.99 28.98 1.90 24.11 1.73 7.72 1.27 1.21 0.40
469 Personal service occs, ne.c. 5: Black 185 36,056 29.70 3.78 23.38 2.91 32.13 3.48 13.30 2.62 1.49 0.93
469 Personal service occs, ne.c. 6: Other 34 8,548 39.47 10.15 27.42 6.75 23.38 7.02 9.74 6.78 0.00 0.00
469 Personal service occs, ne.c. 7: Hispanic 94 24,343 31.54 4.69 23.71 5.07 26.60 5.53 13.04 4.05 5.11 1.99
469 Personal service occs, ne.c. 8: NonHispanic 800 198,082 37.33 1.94 28.54 1.82 25.22 1.53 8.17 1.15 0.74 0.29
473 Farmers, except horticultural 1: Total 4,899 1,166,644 35.96 1.00 28.88 0.84 26.44 0.70 7.20 0.61 1.52 0.23
473 Farmers, except horticultural 2: Male 4,077 975,641 36.72 1.11 28.41 0.88 25.88 0.77 7.36 0.64 1.63 0.24
473 Farmers, except horticultural 3: Female 822 191,002 32.07 1.44 31.32 1.63 29.29 1.72 6.36 0.94 0.95 0.34
473 Farmers, except horticultural 4: White 4,792 1,139,195 36.17 1.03 28.96 0.84 26.34 0.71 7.12 0.62 1.40 0.23
473 Farmers, except horticultural 5: Black 71 18,651 24.80 4.53 27.72 5.80 29.81 5.48 10.74 4.36 6.93 3.05
473 Farmers, except horticultural 6: Other 36 8,798 32.78 8.19 21.38 7.01 31.77 8.01 9.29 4.47 4.79 3.41
473 Farmers, except horticultural 7: Hispanic 88 22,847 53.87 5.30 15.47 3.87 21.17 4.41 7.66 3.50 1.83 1.31
473 Farmers, except horticultural 8: NonHispanic 4,811 1,143,797 35.60 1.01 29.15 0.86 26.54 0.70 7.19 0.62 1.51 0.23
475 Managers, farms, except horticultural 1: Total 692 167,631 38.97 2.07 28.47 1.97 24.86 1.64 6.28 1.01 1.41 0.48
475 Managers, farms, except horticultural 2: Male 568 139,372 39.34 2.16 28.98 2.11 23.43 1.70 6.54 1.12 1.70 0.58
475 Managers, farms, except horticultural 3: Female 124 28,260 37.15 4.91 25.99 3.77 31.86 4.09 5.00 1.81 0.00 0.00
475 Managers, farms, except horticultural 4: White 670 161,151 39.63 2.19 28.44 2.02 24.60 1.70 5.86 0.98 1.47 0.50
475 Managers, farms, except horticultural 5: Black 14 4,473 17.42 10.01 23.56 9.69 39.85 12.04 19.17 13.23 0.00 0.00
475 Managers, farms, except horticultural 6: Other 8 2,007 34.40 14.47 41.63 18.20 12.41 13.20 11.55 11.22 0.00 0.00
475 Managers, farms, except horticultural 7: Hispanic 52 12,531 43.36 8.80 25.47 7.75 31.17 4.93 0.00 0.00 0.00 0.00
475 Managers, farms, except horticultural 8: NonHispanic 640 155,100 38.62 2.17 28.71 1.92 24.36 1.75 6.78 1.08 1.53 0.51
479 Farm workers 1: Total 2,811 686,987 34.25 1.47 28.58 0.97 27.53 1.22 8.03 0.60 1.61 0.28
479 Farm workers 2: Male 2,210 544,374 34.98 1.64 28.08 1.07 27.13 1.30 8.10 0.65 1.70 0.34
479 Farm workers 3: Female 601 142,613 31.46 1.86 30.48 2.03 29.04 1.95 7.76 1.42 1.26 0.54
479 Farm workers 4: White 2,559 626,954 35.51 1.55 29.06 1.06 26.68 1.36 7.41 0.58 1.33 0.27
479 Farm workers 5: Black 209 50,321 18.63 4.04 23.22 4.26 37.02 4.53 16.09 2.39 5.04 1.49
479 Farm workers 6: Other 43 9,712 32.73 6.14 24.99 7.20 33.39 7.33 6.88 3.33 2.02 1.80
479 Farm workers 7: Hispanic 791 198,614 29.88 3.31 28.11 2.17 34.03 2.40 6.63 0.83 1.35 0.59
479 Farm workers 8: NonHispanic 2,020 488,373 36.02 1.50 28.77 1.20 24.89 1.09 8.60 0.74 1.72 0.30
485 Supervisors, related agricultural occs 1: Total 385 100,868 43.21 2.72 32.79 2.41 18.94 1.99 4.32 1.01 0.75 0.48
485 Supervisors, related agricultural occs 2: Male 352 92,700 43.85 2.83 31.94 2.50 19.15 2.05 4.23 1.04 0.82 0.52
485 Supervisors, related agricultural occs 3: Female 33 8,168 35.92 8.97 42.37 9.35 16.46 8.74 5.25 3.65 0.00 0.00
485 Supervisors, related agricultural occs 4: White 344 90,024 43.10 2.73 34.08 2.43 18.11 1.99 3.87 0.97 0.84 0.53
485 Supervisors, related agricultural occs 5: Black 33 8,543 43.39 10.20 23.08 8.32 23.33 8.91 10.20 6.29 0.00 0.00
485 Supervisors, related agricultural occs 6: Other 8 2,301 46.92 21.61 18.16 12.22 34.93 21.10 0.00 0.00 0.00 0.00
485 Supervisors, related agricultural occs 7: Hispanic 44 11,614 30.30 8.39 31.52 7.26 34.32 8.79 3.86 2.48 0.00 0.00
485 Supervisors, related agricultural occs 8: NonHispanic 341 89,254 44.89 2.78 32.95 2.46 16.93 1.97 4.38 1.10 0.85 0.54
486 Groundskeepers and gardeners, except farm 1: Total 2,502 632,818 37.23 1.17 29.07 0.97 24.77 0.97 7.40 0.62 1.53 0.29
486 Groundskeepers and gardeners, except farm 2: Male 2,322 588,437 37.65 1.15 28.32 0.97 24.96 0.99 7.45 0.65 1.61 0.31
486 Groundskeepers and gardeners, except farm 3: Female 180 44,381 31.61 4.78 39.06 4.63 22.22 3.45 6.65 2.04 0.46 0.46
486 Groundskeepers and gardeners, except farm 4: White 2,022 525,323 39.55 1.21 29.40 1.11 23.28 1.00 6.47 0.64 1.30 0.25
486 Groundskeepers and gardeners, except farm 5: Black 409 87,800 25.41 2.47 26.21 2.21 32.29 2.90 13.06 2.04 3.03 1.27
486 Groundskeepers and gardeners, except farm 6: Other 71 19,695 27.99 7.20 33.18 8.05 30.97 4.54 6.88 3.54 0.98 1.01
486 Groundskeepers and gardeners, except farm 7: Hispanic 464 117,128 34.01 3.01 24.51 1.99 32.70 2.75 8.02 1.65 0.76 0.46
486 Groundskeepers and gardeners, except farm 8: NonHispanic 2,038 515,690 37.96 1.40 30.11 1.11 22.97 1.04 7.25 0.68 1.71 0.35
496 Timber cutting and logging occs 1: Total 398 104,819 34.45 2.90 25.56 3.01 29.31 2.48 7.65 1.48 3.03 1.06
496 Timber cutting and logging occs 2: Male 384 101,439 35.00 2.90 24.99 2.98 29.19 2.52 7.70 1.48 3.13 1.08
496 Timber cutting and logging occs 3: Female 14 3,379 18.11 10.70 42.72 13.07 32.88 13.74 6.29 6.31 0.00 0.00
496 Timber cutting and logging occs 4: White 337 89,520 36.15 3.47 28.16 3.14 27.72 2.78 5.52 1.34 2.46 1.04
496 Timber cutting and logging occs 5: Black 59 14,842 25.31 3.92 10.70 4.14 36.73 6.14 20.72 5.26 6.54 3.85
496 Timber cutting and logging occs 6: Other 2 456 0.00 0.00 0.00 0.00 100.00 0.00 0.00 0.00 0.00 0.00
496 Timber cutting and logging occs 7: Hispanic 12 2,739 51.02 16.93 0.00 0.00 33.76 12.82 15.22 9.83 0.00 0.00
496 Timber cutting and logging occs 8: NonHispanic 386 102,079 34.01 2.85 26.25 3.07 29.19 2.50 7.45 1.43 3.11 1.09
503 Supervisors, mechanics and repairers 1: Total 1,106 282,895 42.89 1.57 31.39 1.47 20.37 1.25 4.46 0.72 0.88 0.31
503 Supervisors, mechanics and repairers 2: Male 1,033 265,131 42.76 1.59 31.76 1.52 20.18 1.25 4.36 0.70 0.94 0.33
503 Supervisors, mechanics and repairers 3: Female 73 17,764 44.88 6.06 25.85 4.90 23.20 5.06 6.08 2.93 0.00 0.00
503 Supervisors, mechanics and repairers 4: White 1,003 261,524 42.82 1.63 32.22 1.56 19.83 1.33 4.17 0.71 0.95 0.33
503 Supervisors, mechanics and repairers 5: Black 78 14,507 42.32 6.55 25.09 4.83 28.28 5.67 4.31 2.73 0.00 0.00
503 Supervisors, mechanics and repairers 6: Other 25 6,865 46.90 8.45 13.00 6.64 24.10 7.60 16.00 8.97 0.00 0.00
503 Supervisors, mechanics and repairers 7: Hispanic 46 12,316 30.66 7.57 42.11 7.23 14.34 5.12 12.90 5.57 0.00 0.00
503 Supervisors, mechanics and repairers 8: NonHispanic 1,060 270,579 43.45 1.65 30.90 1.55 20.65 1.32 4.08 0.67 0.92 0.32
505 Automobile mechanics 1: Total 3,553 924,831 37.61 0.87 32.08 0.86 23.31 0.81 5.95 0.47 1.05 0.18
505 Automobile mechanics 2: Male 3,504 911,752 37.86 0.87 31.83 0.86 23.24 0.81 6.02 0.47 1.06 0.18
505 Automobile mechanics 3: Female 49 13,079 20.23 7.86 49.45 8.32 28.79 7.08 1.53 1.52 0.00 0.00
505 Automobile mechanics 4: White 3,122 823,872 37.78 0.92 32.69 0.92 22.76 0.80 5.70 0.48 1.07 0.20
505 Automobile mechanics 5: Black 335 74,283 37.04 3.07 26.13 2.79 28.69 3.43 7.52 1.40 0.62 0.41
505 Automobile mechanics 6: Other 96 26,676 33.79 5.22 29.51 4.67 25.49 4.96 9.53 3.53 1.68 1.14
505 Automobile mechanics 7: Hispanic 312 84,143 33.30 3.52 30.85 3.40 28.86 2.61 6.13 1.59 0.86 0.49
505 Automobile mechanics 8: NonHispanic 3,241 840,688 38.04 0.94 32.20 0.89 22.76 0.84 5.94 0.47 1.07 0.20
507 Bus, truck, and stationary engine mechanics 1: Total 1,208 312,281 38.31 1.68 29.60 1.46 23.42 1.36 7.51 0.71 1.16 0.29
507 Bus, truck, and stationary engine mechanics 2: Male 1,196 309,444 38.43 1.69 29.74 1.46 23.16 1.36 7.50 0.71 1.17 0.29
507 Bus, truck, and stationary engine mechanics 3: Female 12 2,837 25.94 12.73 14.28 9.44 52.01 14.14 7.77 7.47 0.00 0.00
507 Bus, truck, and stationary engine mechanics 4: White 1,068 279,594 38.46 1.70 29.64 1.50 22.72 1.35 8.03 0.80 1.16 0.32
507 Bus, truck, and stationary engine mechanics 5: Black 121 26,549 36.15 5.04 34.30 4.96 24.39 4.08 3.70 1.64 1.46 1.05
507 Bus, truck, and stationary engine mechanics 6: Other 19 6,137 41.25 13.82 7.44 4.86 51.31 12.95 0.00 0.00 0.00 0.00
507 Bus, truck, and stationary engine mechanics 7: Hispanic 83 21,696 31.30 4.39 24.53 5.34 36.52 5.58 5.55 2.32 2.10 1.51
507 Bus, truck, and stationary engine mechanics 8: NonHispanic 1,125 290,585 38.84 1.75 29.98 1.53 22.44 1.40 7.65 0.76 1.09 0.29
508 Aircraft engine mechanics 1: Total 526 139,849 45.57 2.47 35.20 2.24 16.24 1.81 2.66 0.62 0.34 0.34
508 Aircraft engine mechanics 2: Male 511 136,446 45.88 2.55 35.56 2.34 15.50 1.74 2.72 0.63 0.35 0.35
508 Aircraft engine mechanics 3: Female 15 3,403 33.45 13.79 20.69 11.10 45.86 14.36 0.00 0.00 0.00 0.00
508 Aircraft engine mechanics 4: White 442 119,200 46.95 2.63 35.38 2.44 15.18 1.89 2.10 0.61 0.40 0.40
508 Aircraft engine mechanics 5: Black 59 13,166 31.17 5.47 41.46 7.02 21.54 5.74 5.84 2.84 0.00 0.00
508 Aircraft engine mechanics 6: Other 25 7,483 49.03 9.96 21.31 7.28 23.74 8.65 5.92 4.15 0.00 0.00
508 Aircraft engine mechanics 7: Hispanic 59 16,273 51.74 6.89 31.69 7.21 10.80 4.69 5.76 2.65 0.00 0.00
508 Aircraft engine mechanics 8: NonHispanic 467 123,576 44.77 2.59 35.65 2.37 16.94 1.93 2.25 0.59 0.38 0.39
514 Automobile body and related repairers 1: Total 751 194,183 39.24 1.93 33.35 1.87 21.21 1.63 4.38 0.82 1.82 0.54
514 Automobile body and related repairers 2: Male 737 190,848 39.02 1.99 33.54 1.88 21.12 1.66 4.46 0.83 1.86 0.55
514 Automobile body and related repairers 3: Female 14 3,336 51.51 13.25 22.29 12.40 26.20 10.99 0.00 0.00 0.00 0.00
514 Automobile body and related repairers 4: White 686 180,530 39.94 2.04 32.77 1.92 21.29 1.69 4.44 0.87 1.56 0.49
514 Automobile body and related repairers 5: Black 49 9,605 30.92 8.08 37.29 9.28 23.68 7.81 2.58 1.79 5.54 5.31
514 Automobile body and related repairers 6: Other 16 4,048 27.94 12.86 49.58 12.81 11.75 8.45 5.76 5.79 4.96 4.92
514 Automobile body and related repairers 7: Hispanic 71 18,112 38.03 6.63 37.52 5.71 20.29 4.54 4.16 1.36 0.00 0.00
514 Automobile body and related repairers 8: NonHispanic 680 176,071 39.36 1.96 32.92 1.92 21.30 1.76 4.40 0.88 2.01 0.59
516 Heavy equipment mechanics 1: Total 626 162,026 34.93 2.08 30.69 1.87 27.77 1.81 4.45 0.91 2.16 0.72
516 Heavy equipment mechanics 2: Male 620 160,399 35.15 2.09 30.56 1.89 27.75 1.84 4.49 0.92 2.04 0.72
516 Heavy equipment mechanics 3: Female 6 1,627 12.87 12.39 43.69 22.01 30.11 18.65 0.00 0.00 13.33 12.77
516 Heavy equipment mechanics 4: White 570 148,046 35.10 2.14 31.37 1.95 26.91 1.79 4.26 0.88 2.36 0.79
516 Heavy equipment mechanics 5: Black 45 10,117 39.64 8.20 23.01 7.22 33.76 7.46 3.60 2.56 0.00 0.00
516 Heavy equipment mechanics 6: Other 11 3,863 16.10 10.44 24.69 11.86 45.30 12.42 13.92 12.93 0.00 0.00
516 Heavy equipment mechanics 7: Hispanic 38 9,945 56.84 9.53 9.23 4.57 20.02 6.70 13.91 6.89 0.00 0.00
516 Heavy equipment mechanics 8: NonHispanic 588 152,082 33.50 2.02 32.09 1.97 28.28 1.84 3.83 0.84 2.30 0.77
518 Industrial machinery repairers 1: Total 1,664 423,173 35.89 1.17 30.79 1.21 26.99 1.21 5.53 0.60 0.80 0.25
518 Industrial machinery repairers 2: Male 1,603 407,439 35.83 1.21 31.00 1.25 26.86 1.23 5.48 0.59 0.84 0.26
518 Industrial machinery repairers 3: Female 61 15,734 37.56 7.22 25.27 6.48 30.41 6.93 6.76 3.70 0.00 0.00
518 Industrial machinery repairers 4: White 1,482 378,313 35.91 1.26 31.34 1.27 26.83 1.29 5.02 0.56 0.90 0.28
518 Industrial machinery repairers 5: Black 147 35,436 38.60 5.05 22.80 3.98 29.08 4.47 9.52 2.33 0.00 0.00
518 Industrial machinery repairers 6: Other 35 9,424 25.16 7.92 38.57 9.18 25.50 8.13 10.77 6.24 0.00 0.00
518 Industrial machinery repairers 7: Hispanic 117 29,582 40.73 4.93 27.48 4.43 29.42 4.80 1.61 0.95 0.75 0.78
518 Industrial machinery repairers 8: NonHispanic 1,547 393,591 35.53 1.19 31.03 1.22 26.81 1.22 5.82 0.64 0.81 0.26
523 Electronic repairers, communication/industrial equipment 1: Total 647 169,027 40.45 2.42 33.58 2.01 22.34 1.84 3.37 0.66 0.27 0.19
523 Electronic repairers, communication/industrial equipment 2: Male 582 153,324 41.19 2.49 33.27 2.13 21.73 1.99 3.52 0.71 0.29 0.21
523 Electronic repairers, communication/industrial equipment 3: Female 65 15,702 33.09 7.37 36.60 6.90 28.43 6.78 1.88 1.52 0.00 0.00
523 Electronic repairers, communication/industrial equipment 4: White 540 142,679 41.55 2.59 33.67 2.42 21.43 1.99 3.03 0.69 0.32 0.22
523 Electronic repairers, communication/industrial equipment 5: Black 89 21,472 36.06 5.52 35.14 5.44 23.60 6.08 5.20 2.76 0.00 0.00
523 Electronic repairers, communication/industrial equipment 6: Other 18 4,875 27.79 11.05 23.84 10.18 43.38 13.57 5.00 4.91 0.00 0.00
523 Electronic repairers, communication/industrial equipment 7: Hispanic 50 13,124 35.12 7.95 32.45 7.25 27.23 7.04 5.20 2.86 0.00 0.00
523 Electronic repairers, communication/industrial equipment 8: NonHispanic 597 155,903 40.90 2.45 33.67 2.08 21.93 1.91 3.21 0.70 0.29 0.20
529 Telephone installers and repairers 1: Total 644 162,838 43.45 2.13 30.71 2.27 22.27 1.78 3.42 0.79 0.15 0.15
529 Telephone installers and repairers 2: Male 567 144,286 44.26 2.32 31.25 2.26 21.66 1.92 2.83 0.71 0.00 0.00
529 Telephone installers and repairers 3: Female 77 18,552 37.14 5.54 26.54 5.56 27.00 5.37 8.02 3.34 1.30 1.31
529 Telephone installers and repairers 4: White 571 144,681 43.39 2.27 31.87 2.54 21.33 1.92 3.41 0.86 0.00 0.00
529 Telephone installers and repairers 5: Black 60 15,049 44.34 7.35 20.21 6.27 30.93 6.32 2.90 1.83 1.61 1.62
529 Telephone installers and repairers 6: Other 13 3,108 41.76 12.23 27.93 11.30 24.05 11.20 6.26 6.17 0.00 0.00
529 Telephone installers and repairers 7: Hispanic 47 12,142 62.83 7.06 19.86 6.91 17.31 4.61 0.00 0.00 0.00 0.00
529 Telephone installers and repairers 8: NonHispanic 597 150,696 41.89 2.18 31.59 2.23 22.67 1.89 3.70 0.86 0.16 0.16
534 Heating air conditioning, and refrigeration mechanics 1: Total 848 225,091 41.59 1.76 28.90 1.78 22.29 1.46 6.52 1.03 0.71 0.24
534 Heating air conditioning, and refrigeration mechanics 2: Male 844 224,245 41.56 1.76 29.01 1.79 22.19 1.46 6.54 1.03 0.71 0.24
534 Heating air conditioning, and refrigeration mechanics 3: Female 4 846 49.52 25.01 0.00 0.00 50.48 25.01 0.00 0.00 0.00 0.00
534 Heating air conditioning, and refrigeration mechanics 4: White 785 208,347 41.17 1.90 29.35 1.81 22.37 1.55 6.35 1.04 0.76 0.26
534 Heating air conditioning, and refrigeration mechanics 5: Black 46 11,777 46.88 7.96 20.92 5.98 22.14 6.39 10.06 5.86 0.00 0.00
534 Heating air conditioning, and refrigeration mechanics 6: Other 17 4,968 46.41 9.40 28.96 9.51 19.61 11.26 5.02 4.83 0.00 0.00
534 Heating air conditioning, and refrigeration mechanics 7: Hispanic 61 15,365 41.38 6.02 31.11 5.84 23.25 6.04 4.27 2.15 0.00 0.00
534 Heating air conditioning, and refrigeration mechanics 8: NonHispanic 787 209,727 41.60 1.85 28.73 1.88 22.22 1.53 6.68 1.08 0.76 0.25
547 Specified mechanics and repairers 1: Total 994 257,127 35.09 1.61 32.18 1.63 24.15 1.36 7.19 0.89 1.40 0.38
547 Specified mechanics and repairers 2: Male 934 242,820 35.46 1.63 32.67 1.61 23.28 1.37 7.12 0.90 1.48 0.40
547 Specified mechanics and repairers 3: Female 60 14,307 28.78 5.88 23.91 6.07 38.93 7.89 8.39 3.53 0.00 0.00
547 Specified mechanics and repairers 4: White 874 227,503 35.49 1.79 32.20 1.73 23.41 1.30 7.33 0.96 1.58 0.43
547 Specified mechanics and repairers 5: Black 85 19,706 32.60 6.09 35.25 5.81 25.34 5.69 6.81 2.43 0.00 0.00
547 Specified mechanics and repairers 6: Other 35 9,917 30.91 7.61 25.45 9.22 38.87 9.93 4.78 3.45 0.00 0.00
547 Specified mechanics and repairers 7: Hispanic 85 21,620 30.16 5.31 26.02 4.45 33.37 5.20 10.44 3.53 0.00 0.00
547 Specified mechanics and repairers 8: NonHispanic 909 235,507 35.53 1.58 32.73 1.74 23.32 1.41 6.89 0.88 1.52 0.41
549 Not specified mechanics and repairers 1: Total 982 254,196 35.57 1.71 32.57 1.61 24.86 1.57 6.10 0.82 0.90 0.29
549 Not specified mechanics and repairers 2: Male 923 240,104 35.65 1.74 32.58 1.65 24.93 1.62 5.88 0.83 0.95 0.30
549 Not specified mechanics and repairers 3: Female 59 14,091 34.25 5.97 32.37 6.71 23.65 5.63 9.74 3.64 0.00 0.00
549 Not specified mechanics and repairers 4: White 841 218,993 34.50 1.68 34.46 1.81 24.30 1.66 5.94 0.88 0.80 0.30
549 Not specified mechanics and repairers 5: Black 119 29,737 42.57 5.86 20.08 4.12 29.22 5.14 7.71 2.78 0.41 0.42
549 Not specified mechanics and repairers 6: Other 22 5,465 40.53 10.29 24.57 11.45 23.82 7.62 3.42 3.40 7.67 5.34
549 Not specified mechanics and repairers 7: Hispanic 81 20,810 32.13 5.66 30.16 5.56 26.54 4.31 11.17 4.54 0.00 0.00
549 Not specified mechanics and repairers 8: NonHispanic 901 233,386 35.88 1.73 32.78 1.70 24.71 1.65 5.65 0.82 0.98 0.31
558 Supervisors, construction 1: Total 1,970 509,017 45.38 1.27 30.45 1.07 18.55 0.90 5.00 0.57 0.62 0.19
558 Supervisors, construction 2: Male 1,938 501,602 45.51 1.27 30.35 1.09 18.54 0.90 4.97 0.57 0.63 0.19
558 Supervisors, construction 3: Female 32 7,415 36.67 8.81 37.48 8.51 18.90 6.88 6.95 4.74 0.00 0.00
558 Supervisors, construction 4: White 1,824 477,148 46.40 1.29 30.34 1.08 17.94 0.96 4.74 0.58 0.58 0.20
558 Supervisors, construction 5: Black 116 23,959 32.61 4.69 34.50 4.03 26.82 4.02 4.49 1.83 1.57 1.25
558 Supervisors, construction 6: Other 30 7,909 22.96 8.57 24.91 9.51 29.93 8.07 22.20 8.44 0.00 0.00
558 Supervisors, construction 7: Hispanic 124 33,067 39.22 5.07 26.89 4.97 25.58 4.35 8.31 4.76 0.00 0.00
558 Supervisors, construction 8: NonHispanic 1,846 475,950 45.81 1.32 30.70 1.04 18.06 0.94 4.77 0.52 0.67 0.20
563 Brickmasons and stonemasons 1: Total 699 179,883 39.91 1.98 27.33 1.98 26.27 1.83 5.45 0.91 1.04 0.41
563 Brickmasons and stonemasons 2: Male 695 178,943 40.03 1.99 27.35 1.99 26.28 1.83 5.29 0.90 1.05 0.42
563 Brickmasons and stonemasons 3: Female 4 940 17.13 16.47 23.95 21.26 23.68 21.09 35.24 26.42 0.00 0.00
563 Brickmasons and stonemasons 4: White 574 151,238 40.11 2.02 29.54 2.16 24.97 2.09 4.30 0.84 1.08 0.46
563 Brickmasons and stonemasons 5: Black 114 25,281 37.12 5.44 15.69 4.37 35.21 4.45 11.03 2.72 0.94 0.68
563 Brickmasons and stonemasons 6: Other 11 3,363 51.65 16.45 14.52 10.13 18.36 12.45 15.47 13.76 0.00 0.00
563 Brickmasons and stonemasons 7: Hispanic 61 15,571 33.61 5.86 24.47 6.15 34.83 7.24 5.86 3.00 1.23 1.25
563 Brickmasons and stonemasons 8: NonHispanic 638 164,312 40.52 2.07 27.60 2.05 25.45 1.92 5.41 0.95 1.02 0.44
567 Carpenters 1: Total 5,112 1,336,839 40.87 0.73 31.59 0.67 21.93 0.64 4.91 0.33 0.70 0.12
567 Carpenters 2: Male 5,047 1,320,133 41.06 0.73 31.47 0.67 21.86 0.65 4.90 0.33 0.71 0.12
567 Carpenters 3: Female 65 16,705 26.33 5.35 40.83 6.71 27.01 5.88 5.84 2.85 0.00 0.00
567 Carpenters 4: White 4,685 1,234,330 41.34 0.75 31.99 0.71 21.10 0.64 4.84 0.34 0.73 0.12
567 Carpenters 5: Black 337 75,647 35.46 3.22 25.36 3.11 33.09 2.81 5.51 1.66 0.58 0.58
567 Carpenters 6: Other 90 26,862 34.64 8.88 30.69 5.84 28.52 6.16 6.16 2.59 0.00 0.00
567 Carpenters 7: Hispanic 388 102,190 37.32 2.47 26.24 3.14 28.09 2.67 7.29 1.33 1.07 0.46
567 Carpenters 8: NonHispanic 4,724 1,234,649 41.17 0.77 32.03 0.70 21.42 0.64 4.71 0.34 0.67 0.11
573 Drywall installers 1: Total 512 137,655 33.48 2.55 32.28 3.11 26.87 2.38 6.40 1.20 0.97 0.42
573 Drywall installers 2: Male 496 134,036 34.08 2.58 32.03 3.16 26.32 2.41 6.57 1.23 1.00 0.43
573 Drywall installers 3: Female 16 3,619 11.66 7.84 41.21 12.61 47.13 13.16 0.00 0.00 0.00 0.00
573 Drywall installers 4: White 458 123,513 34.56 2.67 31.84 3.09 26.03 2.41 6.49 1.25 1.08 0.46
573 Drywall installers 5: Black 42 9,959 24.63 7.65 41.88 8.07 27.98 6.61 5.50 3.47 0.00 0.00
573 Drywall installers 6: Other 12 4,183 22.17 11.75 23.04 12.97 49.06 15.59 5.73 5.68 0.00 0.00
573 Drywall installers 7: Hispanic 81 23,712 33.75 8.09 29.24 10.57 31.80 5.46 5.22 2.58 0.00 0.00
573 Drywall installers 8: NonHispanic 431 113,944 33.43 2.53 32.91 2.73 25.84 2.56 6.65 1.25 1.18 0.50
575 Electricians 1: Total 2,416 626,998 43.78 1.07 31.33 0.95 19.86 0.86 4.45 0.46 0.58 0.17
575 Electricians 2: Male 2,364 615,184 44.00 1.05 31.46 0.97 19.66 0.87 4.32 0.46 0.55 0.17
575 Electricians 3: Female 52 11,815 32.39 7.41 24.60 5.61 29.87 6.89 11.04 4.37 2.10 2.11
575 Electricians 4: White 2,187 574,256 44.13 1.18 31.67 1.05 19.32 0.90 4.31 0.49 0.57 0.18
575 Electricians 5: Black 158 33,466 40.79 4.16 26.09 4.78 25.45 3.74 6.98 2.04 0.70 0.70
575 Electricians 6: Other 71 19,276 38.67 6.58 30.30 6.29 26.27 5.41 4.18 2.06 0.58 0.57
575 Electricians 7: Hispanic 159 40,665 43.23 3.59 28.21 3.67 20.91 3.44 7.11 2.21 0.55 0.55
575 Electricians 8: NonHispanic 2,257 586,333 43.82 1.14 31.55 1.04 19.78 0.88 4.27 0.47 0.58 0.17
579 Painters, construction and maintenance 1: Total 1,918 495,214 36.02 1.10 30.24 1.06 25.88 1.13 6.89 0.74 0.97 0.25
579 Painters, construction and maintenance 2: Male 1,784 461,048 36.43 1.10 30.13 1.05 25.56 1.12 6.96 0.76 0.92 0.24
579 Painters, construction and maintenance 3: Female 134 34,166 30.49 4.53 31.83 5.05 30.19 4.50 5.85 2.19 1.64 1.61
579 Painters, construction and maintenance 4: White 1,667 439,798 36.75 1.15 30.53 1.14 25.10 1.17 6.70 0.78 0.92 0.26
579 Painters, construction and maintenance 5: Black 208 43,566 30.92 3.25 26.95 3.55 30.21 3.40 10.21 2.38 1.71 0.89
579 Painters, construction and maintenance 6: Other 43 11,850 28.00 6.29 31.63 7.38 38.74 8.17 1.63 1.66 0.00 0.00
579 Painters, construction and maintenance 7: Hispanic 264 70,062 31.74 3.17 28.08 3.09 28.65 3.49 10.45 2.69 1.09 0.76
579 Painters, construction and maintenance 8: NonHispanic 1,654 425,152 36.72 1.17 30.60 1.14 25.43 1.23 6.30 0.70 0.95 0.26
585 Plumbers, pipefitters, and steamfitters 1: Total 1,623 419,839 37.99 1.27 33.18 1.28 22.72 1.10 5.33 0.64 0.78 0.22
585 Plumbers, pipefitters, and steamfitters 2: Male 1,599 414,524 38.00 1.29 32.97 1.30 22.90 1.11 5.34 0.65 0.79 0.22
585 Plumbers, pipefitters, and steamfitters 3: Female 24 5,314 37.48 11.29 49.78 11.39 8.38 5.03 4.36 4.09 0.00 0.00
585 Plumbers, pipefitters, and steamfitters 4: White 1,458 380,160 39.00 1.29 32.63 1.29 22.53 1.18 5.18 0.71 0.66 0.21
585 Plumbers, pipefitters, and steamfitters 5: Black 138 32,057 26.69 4.45 41.71 4.45 23.24 3.21 5.98 1.75 2.37 1.43
585 Plumbers, pipefitters, and steamfitters 6: Other 27 7,622 35.12 8.35 24.51 9.62 30.36 9.39 10.02 5.81 0.00 0.00
585 Plumbers, pipefitters, and steamfitters 7: Hispanic 116 30,643 38.45 4.85 30.87 5.24 24.29 3.48 5.56 2.40 0.83 0.83
585 Plumbers, pipefitters, and steamfitters 8: NonHispanic 1,507 389,196 37.96 1.36 33.37 1.32 22.59 1.15 5.31 0.69 0.78 0.23
595 Roofers 1: Total 613 158,847 37.64 2.07 25.25 1.96 27.39 2.20 8.86 1.37 0.87 0.38
595 Roofers 2: Male 605 156,840 37.64 2.08 25.15 1.94 27.64 2.23 8.97 1.39 0.60 0.27
595 Roofers 3: Female 8 2,007 38.27 17.78 33.03 16.55 7.20 7.18 0.00 0.00 21.50 18.08
595 Roofers 4: White 530 139,456 37.47 2.27 25.53 2.14 26.95 2.19 9.25 1.53 0.80 0.39
595 Roofers 5: Black 66 14,822 40.95 7.29 20.17 6.27 32.74 6.39 4.36 2.10 1.78 1.77
595 Roofers 6: Other 17 4,569 31.94 11.54 33.57 10.40 23.01 11.96 11.49 8.06 0.00 0.00
595 Roofers 7: Hispanic 91 22,136 34.82 5.04 14.17 3.72 38.93 6.13 11.02 3.62 1.07 1.03
595 Roofers 8: NonHispanic 522 136,711 38.10 2.22 27.05 2.10 25.51 2.13 8.51 1.43 0.83 0.44
599 Construction trades, nec. 1: Total 662 169,750 35.64 1.94 32.94 2.03 24.68 1.67 5.85 1.05 0.89 0.32
599 Construction trades, nec. 2: Male 651 167,215 35.66 1.99 33.19 2.03 24.63 1.67 5.61 1.05 0.90 0.32
599 Construction trades, nec. 3: Female 11 2,535 34.24 13.33 16.36 10.87 27.53 12.76 21.87 13.99 0.00 0.00
599 Construction trades, nec. 4: White 570 149,659 36.63 2.05 33.86 2.17 23.17 1.76 5.64 1.14 0.71 0.29
599 Construction trades, nec. 5: Black 81 17,411 26.11 6.08 23.26 5.39 40.23 6.77 7.90 3.18 2.51 1.80
599 Construction trades, nec. 6: Other 11 2,680 42.73 15.89 44.97 14.43 7.75 7.93 4.54 4.52 0.00 0.00
599 Construction trades, nec. 7: Hispanic 70 17,771 29.90 5.72 24.13 5.43 37.17 6.24 7.62 3.67 1.17 1.18
599 Construction trades, nec. 8: NonHispanic 592 151,980 36.32 2.08 33.97 2.24 23.21 1.71 5.65 1.11 0.85 0.33
628 Supervisors, production occs 1: Total 4,333 1,092,668 39.49 0.86 33.02 0.90 22.18 0.67 4.52 0.35 0.78 0.14
628 Supervisors, production occs 2: Male 3,581 914,717 40.85 0.87 33.22 0.94 20.85 0.73 4.21 0.38 0.87 0.16
628 Supervisors, production occs 3: Female 752 177,951 32.48 1.95 32.04 1.88 29.00 1.71 6.12 0.90 0.36 0.24
628 Supervisors, production occs 4: White 3,811 972,493 40.48 0.91 32.92 0.90 21.52 0.71 4.31 0.36 0.78 0.16
628 Supervisors, production occs 5: Black 425 94,927 29.09 2.45 34.17 3.04 29.05 2.27 6.95 1.40 0.74 0.42
628 Supervisors, production occs 6: Other 97 25,248 40.50 5.29 32.93 5.39 21.74 4.24 3.74 1.70 1.09 1.09
628 Supervisors, production occs 7: Hispanic 322 81,072 38.27 3.07 24.26 2.65 29.45 3.07 7.07 1.70 0.95 0.57
628 Supervisors, production occs 8: NonHispanic 4,011 1,011,596 39.58 0.91 33.73 0.96 21.60 0.69 4.32 0.36 0.77 0.14
634 Tool and die makers 1: Total 551 143,231 39.34 2.22 31.61 2.10 25.17 2.28 3.55 0.59 0.34 0.34
634 Tool and die makers 2: Male 540 140,484 39.34 2.25 31.67 2.13 25.31 2.35 3.34 0.59 0.34 0.34
634 Tool and die makers 3: Female 11 2,747 39.57 15.56 28.44 9.76 17.90 10.66 14.09 10.49 0.00 0.00
634 Tool and die makers 4: White 528 138,039 39.32 2.27 31.44 2.12 25.60 2.34 3.29 0.57 0.35 0.35
634 Tool and die makers 5: Black 13 2,693 35.17 15.02 36.02 15.61 17.47 11.42 11.34 7.88 0.00 0.00
634 Tool and die makers 6: Other 10 2,499 45.15 18.78 35.81 15.88 9.56 8.38 9.49 9.53 0.00 0.00
634 Tool and die makers 7: Hispanic 14 3,410 63.00 12.60 12.69 8.57 17.31 10.93 6.99 6.60 0.00 0.00
634 Tool and die makers 8: NonHispanic 537 139,821 38.76 2.28 32.07 2.13 25.36 2.32 3.46 0.60 0.35 0.35
637 Machinists 1: Total 2,049 522,513 37.40 1.24 30.72 1.30 25.07 0.97 5.65 0.48 1.16 0.22
637 Machinists 2: Male 1,949 499,347 37.68 1.30 30.90 1.33 24.69 1.00 5.56 0.50 1.17 0.22
637 Machinists 3: Female 100 23,166 31.33 4.92 26.89 4.77 33.41 4.96 7.46 2.99 0.91 0.91
637 Machinists 4: White 1,856 479,828 37.68 1.27 30.91 1.35 24.43 1.04 5.72 0.50 1.26 0.24
637 Machinists 5: Black 132 27,803 36.10 4.33 26.43 4.48 31.70 4.76 5.77 2.35 0.00 0.00
637 Machinists 6: Other 61 14,883 30.97 6.59 32.61 6.36 33.42 6.87 3.01 2.13 0.00 0.00
637 Machinists 7: Hispanic 135 34,779 36.12 4.23 21.99 3.92 30.48 3.74 8.57 2.74 2.83 1.32
637 Machinists 8: NonHispanic 1,914 487,734 37.49 1.32 31.34 1.35 24.69 0.99 5.44 0.50 1.04 0.22
653 Sheet metal workers 1: Total 549 143,964 39.73 2.01 29.98 1.96 23.12 1.85 6.48 1.17 0.69 0.41
653 Sheet metal workers 2: Male 505 133,631 40.30 2.03 29.87 1.97 22.62 1.84 6.46 1.23 0.74 0.45
653 Sheet metal workers 3: Female 44 10,332 32.31 7.26 31.37 7.23 29.57 8.94 6.75 3.51 0.00 0.00
653 Sheet metal workers 4: White 487 129,086 38.55 1.96 31.44 2.01 23.03 1.89 6.21 1.25 0.77 0.46
653 Sheet metal workers 5: Black 45 9,795 35.26 8.74 24.03 7.24 32.06 7.79 8.65 4.18 0.00 0.00
653 Sheet metal workers 6: Other 17 5,082 78.15 10.94 4.49 4.25 8.23 5.93 9.13 6.31 0.00 0.00
653 Sheet metal workers 7: Hispanic 39 9,645 45.15 8.49 24.75 6.86 16.53 5.95 13.57 6.11 0.00 0.00
653 Sheet metal workers 8: NonHispanic 510 134,318 39.34 2.14 30.36 2.13 23.60 1.93 5.97 1.19 0.74 0.44
666 Dressmakers 1: Total 499 123,787 28.82 2.29 28.23 2.36 30.73 2.50 10.94 1.54 1.28 0.54
666 Dressmakers 2: Male 29 7,254 34.48 10.18 20.93 8.64 29.73 9.24 11.71 6.37 3.16 3.11
666 Dressmakers 3: Female 470 116,533 28.47 2.38 28.68 2.38 30.80 2.50 10.90 1.49 1.16 0.53
666 Dressmakers 4: White 392 98,967 29.73 2.43 26.58 2.50 32.22 2.59 10.17 1.55 1.31 0.60
666 Dressmakers 5: Black 60 11,937 15.74 5.46 36.40 7.87 24.57 5.19 23.28 6.88 0.00 0.00
666 Dressmakers 6: Other 47 12,883 33.77 5.77 33.43 8.54 24.97 7.64 5.61 3.17 2.22 2.25
666 Dressmakers 7: Hispanic 66 16,560 34.77 5.41 16.28 4.32 35.03 6.25 11.18 3.69 2.74 1.92
666 Dressmakers 8: NonHispanic 433 107,227 27.91 2.41 30.05 2.52 30.08 2.57 10.91 1.74 1.06 0.54
683 Electrical/electronic equipment assemblers 1: Total 921 230,284 27.50 1.50 30.69 1.72 32.61 1.52 8.35 1.05 0.85 0.31
683 Electrical/electronic equipment assemblers 2: Male 279 71,527 37.66 3.35 31.69 3.16 25.30 2.42 5.15 1.42 0.20 0.20
683 Electrical/electronic equipment assemblers 3: Female 642 158,757 22.89 1.77 30.24 2.02 35.92 1.88 9.80 1.36 1.15 0.44
683 Electrical/electronic equipment assemblers 4: White 688 177,005 27.37 1.76 31.24 2.00 32.35 1.73 8.15 1.07 0.89 0.37
683 Electrical/electronic equipment assemblers 5: Black 130 27,767 24.77 3.54 25.87 3.80 37.79 4.77 10.90 3.75 0.66 0.56
683 Electrical/electronic equipment assemblers 6: Other 103 25,511 31.30 5.25 32.07 4.86 28.85 4.40 6.98 2.49 0.79 0.79
683 Electrical/electronic equipment assemblers 7: Hispanic 151 43,150 26.12 3.49 32.10 4.32 29.97 3.36 11.81 3.14 0.00 0.00
683 Electrical/electronic equipment assemblers 8: NonHispanic 770 187,134 27.81 1.75 30.37 1.73 33.21 1.73 7.56 0.99 1.04 0.38
686 Butchers and meat cutters 1: Total 844 213,405 38.42 2.02 28.19 1.67 26.20 1.79 6.00 0.89 1.20 0.46
686 Butchers and meat cutters 2: Male 660 170,028 40.76 2.13 29.74 1.92 24.19 1.92 4.29 0.86 1.03 0.46
686 Butchers and meat cutters 3: Female 184 43,376 29.29 3.77 22.13 3.50 34.04 3.99 12.68 2.65 1.87 1.00
686 Butchers and meat cutters 4: White 652 169,041 39.24 1.95 29.78 1.89 25.61 1.84 4.33 0.80 1.05 0.51
686 Butchers and meat cutters 5: Black 142 30,558 33.34 3.74 22.97 3.94 26.40 4.65 14.73 4.24 2.56 1.52
686 Butchers and meat cutters 6: Other 50 13,805 39.64 13.53 20.22 5.22 32.93 9.33 7.21 3.76 0.00 0.00
686 Butchers and meat cutters 7: Hispanic 101 24,788 34.07 6.01 29.63 5.30 32.78 4.64 1.74 1.08 1.79 1.20
686 Butchers and meat cutters 8: NonHispanic 743 188,617 39.00 2.17 28.00 1.74 25.33 1.87 6.56 0.98 1.12 0.44
687 Bakers 1: Total 499 128,093 38.48 2.57 27.01 1.80 27.54 2.30 5.40 1.02 1.57 0.57
687 Bakers 2: Male 275 72,067 41.69 3.19 26.41 2.33 24.78 3.34 4.53 1.10 2.59 1.02
687 Bakers 3: Female 224 56,026 34.38 3.41 27.79 3.04 31.05 2.99 6.51 1.60 0.27 0.27
687 Bakers 4: White 408 104,895 40.79 2.74 27.08 2.04 26.22 2.55 4.33 1.00 1.58 0.66
687 Bakers 5: Black 58 13,101 24.22 6.71 34.58 6.04 30.16 6.48 8.31 3.39 2.73 2.01
687 Bakers 6: Other 33 10,096 33.09 12.64 16.48 6.28 37.76 9.29 12.67 5.27 0.00 0.00
687 Bakers 7: Hispanic 63 17,322 39.53 5.23 26.84 4.84 26.50 5.74 2.68 1.61 4.45 3.12
687 Bakers 8: NonHispanic 436 110,771 38.32 2.73 27.04 2.07 27.69 2.40 5.81 1.15 1.13 0.47
689 Inspectors, testers, and graders 1: Total 542 137,766 32.87 2.19 31.01 2.23 27.08 2.39 7.64 1.28 1.40 0.56
689 Inspectors, testers, and graders 2: Male 400 102,203 34.94 2.61 32.86 2.41 24.28 2.52 6.89 1.29 1.03 0.55
689 Inspectors, testers, and graders 3: Female 142 35,562 26.91 3.43 25.69 4.19 35.17 4.84 9.78 3.08 2.46 1.49
689 Inspectors, testers, and graders 4: White 453 116,868 32.62 2.42 33.37 2.56 25.53 2.49 7.37 1.49 1.10 0.51
689 Inspectors, testers, and graders 5: Black 64 13,777 35.17 7.40 18.44 4.80 33.09 7.79 10.39 3.76 2.90 1.96
689 Inspectors, testers, and graders 6: Other 25 7,121 32.46 10.79 16.74 7.04 40.75 13.62 6.70 4.88 3.35 3.33
689 Inspectors, testers, and graders 7: Hispanic 33 7,815 39.50 7.75 35.18 8.62 12.09 5.41 13.23 6.99 0.00 0.00
689 Inspectors, testers, and graders 8: NonHispanic 509 129,951 32.47 2.26 30.76 2.30 27.99 2.48 7.30 1.34 1.48 0.59
696 Stationary engineers 1: Total 593 149,560 38.61 2.19 34.88 2.07 20.09 1.84 5.68 0.96 0.74 0.34
696 Stationary engineers 2: Male 570 144,091 38.84 2.26 34.62 2.11 20.49 1.88 5.29 0.94 0.76 0.35
696 Stationary engineers 3: Female 23 5,468 32.27 9.82 42.16 11.64 9.07 6.23 16.50 7.81 0.00 0.00
696 Stationary engineers 4: White 508 131,075 39.39 2.35 35.62 2.35 19.45 2.06 4.70 0.94 0.84 0.39
696 Stationary engineers 5: Black 65 13,386 35.15 6.06 23.98 5.24 25.27 5.53 15.60 5.23 0.00 0.00
696 Stationary engineers 6: Other 20 5,098 27.15 10.16 44.80 13.95 23.15 7.96 4.89 4.84 0.00 0.00
696 Stationary engineers 7: Hispanic 23 7,371 46.09 11.97 41.64 11.52 6.70 5.01 5.57 3.91 0.00 0.00
696 Stationary engineers 8: NonHispanic 570 142,189 38.23 2.27 34.53 2.08 20.79 1.89 5.68 0.98 0.77 0.36
706 Punching and stamping press machine operators 1: Total 503 126,355 32.50 2.32 30.86 2.10 29.50 1.99 6.08 1.12 1.07 0.44
706 Punching and stamping press machine operators 2: Male 353 89,818 38.03 2.56 29.54 2.36 26.00 2.34 5.84 1.16 0.59 0.35
706 Punching and stamping press machine operators 3: Female 150 36,536 18.91 4.20 34.10 4.18 38.10 4.37 6.65 2.74 2.24 1.20
706 Punching and stamping press machine operators 4: White 435 112,659 32.52 2.50 31.97 2.24 28.67 2.02 5.73 1.19 1.11 0.48
706 Punching and stamping press machine operators 5: Black 61 12,003 31.12 5.45 19.51 4.95 40.58 6.59 7.97 3.22 0.82 0.83
706 Punching and stamping press machine operators 6: Other 7 1,693 40.89 19.48 37.25 20.90 5.86 6.00 16.00 14.72 0.00 0.00
706 Punching and stamping press machine operators 7: Hispanic 50 12,198 46.46 6.70 18.95 5.91 23.54 6.66 11.05 4.90 0.00 0.00
706 Punching and stamping press machine operators 8: NonHispanic 453 114,156 31.01 2.48 32.13 2.31 30.13 2.11 5.55 1.16 1.18 0.49
709 Grinding/abrading/buffing/polishing machine operators 1: Total 493 121,344 33.68 2.11 27.40 2.17 28.49 2.19 9.38 1.45 1.05 0.51
709 Grinding/abrading/buffing/polishing machine operators 2: Male 407 99,658 34.99 2.25 27.22 2.13 28.15 2.31 8.96 1.53 0.68 0.39
709 Grinding/abrading/buffing/polishing machine operators 3: Female 86 21,686 27.60 4.98 28.20 5.47 30.03 5.27 11.35 3.82 2.82 2.21
709 Grinding/abrading/buffing/polishing machine operators 4: White 419 105,584 36.07 2.33 27.18 2.39 26.88 2.19 8.78 1.60 1.09 0.57
709 Grinding/abrading/buffing/polishing machine operators 5: Black 64 13,419 20.98 5.94 26.76 5.54 35.59 5.68 15.73 4.82 0.94 0.96
709 Grinding/abrading/buffing/polishing machine operators 6: Other 10 2,341 0.00 0.00 40.58 17.49 59.42 17.49 0.00 0.00 0.00 0.00
709 Grinding/abrading/buffing/polishing machine operators 7: Hispanic 58 15,410 37.69 7.40 23.98 5.44 30.41 7.74 7.91 4.12 0.00 0.00
709 Grinding/abrading/buffing/polishing machine operators 8: NonHispanic 435 105,934 33.12 2.19 27.87 2.38 28.22 2.11 9.59 1.54 1.20 0.57
719 Molding and casting machine operators 1: Total 412 103,758 28.72 2.59 32.19 2.97 28.83 2.37 8.58 1.54 1.67 0.67
719 Molding and casting machine operators 2: Male 300 76,325 32.40 3.09 32.68 3.35 25.13 2.34 7.91 1.78 1.88 0.85
719 Molding and casting machine operators 3: Female 112 27,432 18.52 4.04 30.83 5.79 39.08 5.64 10.45 3.37 1.11 0.83
719 Molding and casting machine operators 4: White 340 86,981 29.97 2.96 32.30 3.35 29.00 2.45 7.19 1.55 1.54 0.72
719 Molding and casting machine operators 5: Black 61 14,078 18.84 4.85 34.43 6.76 28.31 6.89 15.61 6.30 2.81 2.18
719 Molding and casting machine operators 6: Other 11 2,699 40.28 16.13 17.10 10.98 26.00 13.86 16.63 11.45 0.00 0.00
719 Molding and casting machine operators 7: Hispanic 44 11,795 35.68 11.19 21.23 8.84 30.46 9.15 8.68 4.45 3.95 2.72
719 Molding and casting machine operators 8: NonHispanic 368 91,963 27.83 2.45 33.60 3.00 28.62 2.54 8.57 1.64 1.38 0.67
734 Printing press operators 1: Total 1,233 323,661 36.54 1.49 33.58 1.63 25.30 1.33 4.14 0.57 0.44 0.19
734 Printing press operators 2: Male 1,026 274,255 37.59 1.62 34.16 1.80 23.89 1.35 3.94 0.63 0.41 0.21
734 Printing press operators 3: Female 207 49,407 30.70 3.67 30.35 3.45 33.13 3.39 5.25 1.71 0.57 0.44
734 Printing press operators 4: White 1,066 284,389 36.85 1.58 33.75 1.76 24.71 1.48 4.19 0.64 0.50 0.22
734 Printing press operators 5: Black 122 26,343 25.02 4.72 33.66 5.29 37.43 5.41 3.88 2.01 0.00 0.00
734 Printing press operators 6: Other 45 12,929 53.08 8.06 29.68 7.70 13.62 6.44 3.63 2.53 0.00 0.00
734 Printing press operators 7: Hispanic 109 29,482 40.17 4.99 25.44 4.91 30.56 4.61 3.82 1.53 0.00 0.00
734 Printing press operators 8: NonHispanic 1,124 294,180 36.18 1.51 34.40 1.64 24.77 1.33 4.17 0.62 0.48 0.21
744 Textile sewing machine operators 1: Total 2,719 656,092 22.58 1.03 28.49 1.17 37.52 1.30 10.25 0.69 1.16 0.22
744 Textile sewing machine operators 2: Male 257 65,258 28.37 3.14 25.30 2.41 37.87 3.44 7.73 2.21 0.72 0.50
744 Textile sewing machine operators 3: Female 2,462 590,833 21.94 0.96 28.85 1.22 37.48 1.27 10.53 0.70 1.21 0.25
744 Textile sewing machine operators 4: White 1,900 475,318 23.28 0.99 29.19 1.32 36.05 1.39 10.35 0.89 1.12 0.24
744 Textile sewing machine operators 5: Black 600 125,913 20.37 2.58 27.26 2.53 40.61 2.71 10.63 1.55 1.13 0.50
744 Textile sewing machine operators 6: Other 219 54,860 21.52 2.98 25.23 2.74 43.19 3.32 8.47 1.93 1.59 0.79
744 Textile sewing machine operators 7: Hispanic 519 125,255 22.74 1.63 24.24 3.16 41.35 3.42 10.40 1.95 1.26 0.50
744 Textile sewing machine operators 8: NonHispanic 2,200 530,836 22.54 1.18 29.49 1.21 36.62 1.43 10.21 0.72 1.13 0.22
747 Pressing machine operators 1: Total 568 131,707 27.28 2.03 26.92 1.92 34.05 2.06 11.01 1.41 0.73 0.34
747 Pressing machine operators 2: Male 201 48,482 29.15 3.19 30.54 3.32 31.54 3.38 8.32 2.04 0.46 0.46
747 Pressing machine operators 3: Female 367 83,225 26.19 2.77 24.80 2.66 35.53 2.62 12.59 1.94 0.89 0.47
747 Pressing machine operators 4: White 349 89,223 28.05 2.53 28.09 2.37 32.51 2.41 11.10 1.70 0.25 0.25
747 Pressing machine operators 5: Black 189 35,105 22.32 3.15 23.10 2.71 39.37 4.72 13.11 3.26 2.10 1.11
747 Pressing machine operators 6: Other 30 7,379 41.62 9.29 31.03 10.27 27.35 7.14 0.00 0.00 0.00 0.00
747 Pressing machine operators 7: Hispanic 94 21,240 20.41 3.99 31.67 5.02 37.43 4.61 10.49 3.41 0.00 0.00
747 Pressing machine operators 8: NonHispanic 474 110,467 28.57 2.35 26.03 2.20 33.42 2.21 11.11 1.56 0.87 0.41
748 Laundering and dry cleaning machine operators 1: Total 734 174,095 28.82 1.94 28.71 2.00 30.40 1.97 10.62 1.04 1.45 0.45
748 Laundering and dry cleaning machine operators 2: Male 281 70,523 37.91 3.34 32.24 3.10 21.00 2.56 7.28 1.62 1.57 0.80
748 Laundering and dry cleaning machine operators 3: Female 453 103,572 22.64 2.19 26.29 2.35 36.80 2.68 12.90 1.50 1.37 0.52
748 Laundering and dry cleaning machine operators 4: White 501 127,444 29.90 2.17 32.19 2.23 27.75 2.42 8.45 1.12 1.71 0.58
748 Laundering and dry cleaning machine operators 5: Black 201 37,646 23.04 3.53 18.81 4.33 39.01 3.20 18.73 2.77 0.41 0.42
748 Laundering and dry cleaning machine operators 6: Other 32 9,005 37.77 9.92 20.75 6.18 31.95 8.21 7.46 4.39 2.07 2.07
748 Laundering and dry cleaning machine operators 7: Hispanic 108 26,935 31.46 4.95 25.79 4.28 31.01 4.65 10.78 2.85 0.96 0.97
748 Laundering and dry cleaning machine operators 8: NonHispanic 626 147,160 28.34 2.07 29.24 2.14 30.29 2.10 10.59 1.18 1.54 0.50
754 Packaging and filling machine operators 1: Total 1,556 381,818 26.38 1.34 30.56 1.08 33.46 1.33 8.58 0.77 1.02 0.26
754 Packaging and filling machine operators 2: Male 551 143,451 35.57 2.24 31.78 1.99 25.67 1.95 5.57 1.01 1.42 0.56
754 Packaging and filling machine operators 3: Female 1,005 238,367 20.84 1.48 29.83 1.51 38.15 1.74 10.40 1.05 0.78 0.26
754 Packaging and filling machine operators 4: White 1,197 300,360 27.60 1.43 31.28 1.14 32.30 1.45 8.01 0.75 0.82 0.24
754 Packaging and filling machine operators 5: Black 287 61,369 20.05 3.59 30.19 2.94 37.85 3.24 11.37 2.39 0.54 0.38
754 Packaging and filling machine operators 6: Other 72 20,088 27.30 6.80 21.06 4.79 37.46 8.81 8.74 3.24 5.45 3.17
754 Packaging and filling machine operators 7: Hispanic 326 81,690 27.30 3.15 30.75 2.22 31.27 3.26 10.15 1.31 0.53 0.36
754 Packaging and filling machine operators 8: NonHispanic 1,230 300,127 26.13 1.49 30.51 1.30 34.05 1.43 8.16 0.90 1.15 0.32
756 Mixing and blending machine operators 1: Total 491 123,593 33.12 2.24 31.75 2.40 30.43 2.11 3.97 1.04 0.73 0.43
756 Mixing and blending machine operators 2: Male 430 108,557 35.49 2.65 31.77 2.52 28.29 2.30 3.62 1.02 0.83 0.49
756 Mixing and blending machine operators 3: Female 61 15,036 16.05 4.59 31.61 5.95 45.85 6.87 6.48 4.04 0.00 0.00
756 Mixing and blending machine operators 4: White 389 101,261 34.59 2.55 31.93 2.56 29.87 2.30 3.22 1.00 0.40 0.40
756 Mixing and blending machine operators 5: Black 94 20,328 26.63 6.02 32.84 5.90 32.78 6.01 5.31 2.53 2.44 1.59
756 Mixing and blending machine operators 6: Other 8 2,005 24.98 13.13 12.04 11.69 34.90 16.07 28.09 22.14 0.00 0.00
756 Mixing and blending machine operators 7: Hispanic 64 15,189 34.27 5.95 27.06 4.51 33.85 6.86 4.82 3.90 0.00 0.00
756 Mixing and blending machine operators 8: NonHispanic 427 108,403 32.96 2.34 32.40 2.60 29.96 2.11 3.85 1.05 0.83 0.48
759 Painting and paint spraying machine operators 1: Total 734 184,736 35.73 2.04 30.18 1.63 26.48 1.71 6.77 0.91 0.83 0.32
759 Painting and paint spraying machine operators 2: Male 621 157,929 37.77 2.29 30.20 1.84 24.77 1.84 6.28 0.96 0.98 0.37
759 Painting and paint spraying machine operators 3: Female 113 26,807 23.73 4.54 30.09 4.11 36.52 4.46 9.66 2.88 0.00 0.00
759 Painting and paint spraying machine operators 4: White 595 152,631 37.52 2.11 30.70 1.73 24.88 1.82 6.06 0.98 0.85 0.35
759 Painting and paint spraying machine operators 5: Black 111 24,561 25.56 4.97 30.12 5.00 31.99 4.40 11.32 3.03 1.02 1.02
759 Painting and paint spraying machine operators 6: Other 28 7,544 32.73 10.19 19.98 8.17 40.83 11.77 6.45 4.56 0.00 0.00
759 Painting and paint spraying machine operators 7: Hispanic 126 31,543 32.94 4.43 24.60 3.45 29.47 4.76 11.64 3.55 1.34 0.96
759 Painting and paint spraying machine operators 8: NonHispanic 608 153,193 36.30 2.18 31.33 1.79 25.87 1.90 5.78 0.86 0.73 0.33
769 Slicing and cutting machine operators 1: Total 821 204,112 31.42 1.92 28.55 1.67 32.40 1.74 6.80 1.04 0.83 0.33
769 Slicing and cutting machine operators 2: Male 570 144,479 33.47 2.09 30.13 2.05 30.58 2.06 4.87 0.97 0.95 0.41
769 Slicing and cutting machine operators 3: Female 251 59,633 26.50 3.15 24.73 2.79 36.79 3.26 11.45 2.16 0.53 0.53
769 Slicing and cutting machine operators 4: White 641 163,199 33.11 2.13 29.67 1.79 29.79 1.78 6.48 1.15 0.94 0.40
769 Slicing and cutting machine operators 5: Black 146 31,649 25.59 3.82 20.30 3.01 43.98 4.42 9.64 2.78 0.50 0.49
769 Slicing and cutting machine operators 6: Other 34 9,264 21.51 7.88 36.74 8.79 39.00 8.26 2.74 2.73 0.00 0.00
769 Slicing and cutting machine operators 7: Hispanic 119 31,205 33.62 5.30 24.14 3.54 35.30 4.81 5.92 2.23 1.01 1.01
769 Slicing and cutting machine operators 8: NonHispanic 702 172,907 31.02 1.96 29.35 1.85 31.88 1.83 6.96 1.12 0.79 0.35
777 Miscellaneous machine operators 1: Total 3,648 912,207 32.00 0.92 29.66 0.84 30.14 0.83 7.18 0.47 1.01 0.14
777 Miscellaneous machine operators 2: Male 2,457 629,255 35.85 1.10 29.43 0.99 27.86 0.95 5.92 0.50 0.94 0.16
777 Miscellaneous machine operators 3: Female 1,191 282,952 23.48 1.27 30.16 1.50 35.21 1.41 9.99 0.85 1.17 0.35
777 Miscellaneous machine operators 4: White 2,831 728,381 32.95 1.07 30.24 0.93 29.23 0.93 6.63 0.50 0.94 0.15
777 Miscellaneous machine operators 5: Black 678 148,646 26.73 2.21 26.43 1.69 35.13 2.40 10.13 1.36 1.59 0.48
777 Miscellaneous machine operators 6: Other 139 35,180 34.74 3.88 31.20 4.14 27.89 3.67 6.17 2.01 0.00 0.00
777 Miscellaneous machine operators 7: Hispanic 466 117,840 31.89 2.92 25.72 1.77 31.09 2.14 10.08 1.25 1.23 0.48
777 Miscellaneous machine operators 8: NonHispanic 3,182 794,367 32.02 0.95 30.24 0.88 30.00 0.95 6.76 0.50 0.98 0.17
779 Machine operators, not specified 1: Total 2,122 528,820 32.19 1.11 31.22 1.20 28.63 1.19 6.97 0.56 0.99 0.21
779 Machine operators, not specified 2: Male 1,427 362,688 35.91 1.35 31.48 1.36 25.77 1.32 5.79 0.61 1.05 0.28
779 Machine operators, not specified 3: Female 695 166,133 24.04 1.83 30.66 2.16 34.90 1.90 9.56 1.11 0.84 0.32
779 Machine operators, not specified 4: White 1,672 425,180 33.48 1.33 31.60 1.33 27.89 1.22 6.34 0.62 0.69 0.20
779 Machine operators, not specified 5: Black 383 84,933 24.54 2.27 30.28 2.62 33.82 2.90 9.05 1.67 2.30 0.85
779 Machine operators, not specified 6: Other 67 18,707 37.66 7.07 27.03 5.44 21.79 5.49 11.78 3.84 1.74 1.73
779 Machine operators, not specified 7: Hispanic 217 55,980 34.79 4.23 31.10 3.97 26.02 3.29 7.64 1.61 0.45 0.45
779 Machine operators, not specified 8: NonHispanic 1,905 472,840 31.88 1.09 31.24 1.30 28.94 1.25 6.89 0.59 1.05 0.23
783 Welders and cutters 1: Total 2,341 597,287 36.93 1.06 30.59 1.05 25.32 0.90 6.34 0.53 0.82 0.20
783 Welders and cutters 2: Male 2,229 570,138 37.16 1.07 30.94 1.07 24.94 0.90 6.13 0.54 0.84 0.21
783 Welders and cutters 3: Female 112 27,148 32.15 4.64 23.38 4.47 33.33 4.65 10.67 3.82 0.47 0.47
783 Welders and cutters 4: White 2,032 523,193 38.11 1.12 31.03 1.10 24.62 0.94 5.57 0.53 0.67 0.21
783 Welders and cutters 5: Black 245 56,454 29.37 3.01 26.96 3.17 30.27 3.83 12.15 2.46 1.25 0.77
783 Welders and cutters 6: Other 64 17,640 26.07 5.53 29.30 7.19 30.19 5.97 10.56 3.47 3.88 2.23
783 Welders and cutters 7: Hispanic 256 65,552 34.41 3.10 23.89 2.94 31.52 3.21 8.73 1.79 1.45 0.69
783 Welders and cutters 8: NonHispanic 2,085 531,734 37.24 1.14 31.42 1.11 24.56 0.93 6.04 0.55 0.74 0.21
785 Assemblers 1: Total 4,153 1,026,023 30.87 0.81 31.19 0.92 29.65 0.76 6.95 0.45 1.34 0.20
785 Assemblers 2: Male 2,189 553,313 35.35 0.99 32.58 1.20 26.12 1.01 4.95 0.45 1.00 0.25
785 Assemblers 3: Female 1,964 472,709 25.62 1.10 29.57 1.30 33.78 1.11 9.29 0.80 1.74 0.36
785 Assemblers 4: White 3,268 828,216 31.42 0.91 32.13 1.01 28.65 0.86 6.61 0.45 1.20 0.22
785 Assemblers 5: Black 694 149,750 26.92 1.84 28.81 2.34 33.04 2.44 8.96 1.34 2.27 0.59
785 Assemblers 6: Other 191 48,057 33.65 4.20 22.48 3.71 36.29 4.42 6.66 1.86 0.91 0.91
785 Assemblers 7: Hispanic 488 119,226 28.09 2.25 31.79 2.19 31.07 2.76 7.63 1.55 1.43 0.79
785 Assemblers 8: NonHispanic 3,665 906,797 31.23 0.86 31.11 0.96 29.46 0.80 6.86 0.47 1.33 0.20
796 Production inspectors, checkers, and examiners 1: Total 2,306 571,665 28.00 1.03 31.06 1.13 31.58 1.05 8.41 0.64 0.96 0.20
796 Production inspectors, checkers, and examiners 2: Male 1,011 259,447 34.55 1.52 31.39 1.49 26.80 1.50 6.53 0.80 0.74 0.26
796 Production inspectors, checkers, and examiners 3: Female 1,295 312,218 22.54 1.48 30.78 1.52 35.56 1.53 9.97 0.92 1.15 0.30
796 Production inspectors, checkers, and examiners 4: White 1,836 465,378 28.64 1.19 31.74 1.25 30.21 1.12 8.41 0.71 1.00 0.23
796 Production inspectors, checkers, and examiners 5: Black 374 82,496 24.01 2.78 27.51 3.04 38.24 2.75 9.74 1.46 0.49 0.32
796 Production inspectors, checkers, and examiners 6: Other 96 23,790 29.20 4.82 29.98 4.96 35.22 5.45 3.79 1.89 1.82 1.32
796 Production inspectors, checkers, and examiners 7: Hispanic 220 55,311 28.55 3.13 32.27 3.19 29.02 2.69 8.48 2.47 1.68 0.77
796 Production inspectors, checkers, and examiners 8: NonHispanic 2,086 516,354 27.94 1.09 30.93 1.21 31.85 1.13 8.40 0.64 0.89 0.21
799 Graders and sorters, except agricultural 1: Total 529 125,068 28.14 2.06 26.24 2.14 36.15 2.21 8.88 1.30 0.60 0.35
799 Graders and sorters, except agricultural 2: Male 209 51,576 29.68 3.20 28.76 3.13 35.58 3.48 4.54 1.43 1.45 0.84
799 Graders and sorters, except agricultural 3: Female 320 73,492 27.05 2.45 24.47 2.71 36.55 2.54 11.94 1.98 0.00 0.00
799 Graders and sorters, except agricultural 4: White 388 94,950 27.24 2.40 28.15 2.48 36.03 2.46 8.11 1.36 0.46 0.32
799 Graders and sorters, except agricultural 5: Black 116 23,863 33.13 5.41 18.35 3.87 35.39 5.70 11.83 3.05 1.30 1.29
799 Graders and sorters, except agricultural 6: Other 25 6,254 22.63 9.08 27.32 9.73 40.69 9.39 9.36 5.54 0.00 0.00
799 Graders and sorters, except agricultural 7: Hispanic 125 29,707 27.37 4.78 21.82 4.14 40.34 4.66 10.47 2.39 0.00 0.00
799 Graders and sorters, except agricultural 8: NonHispanic 404 95,361 28.37 2.32 27.60 2.52 34.86 2.55 8.39 1.58 0.78 0.45
804 Truck drivers 1: Total 10,449 2,640,585 36.43 0.56 30.27 0.49 25.98 0.50 6.16 0.26 1.17 0.13
804 Truck drivers 2: Male 9,987 2,528,749 36.64 0.57 30.45 0.51 25.67 0.50 6.09 0.26 1.16 0.13
804 Truck drivers 3: Female 462 111,836 31.76 2.36 26.30 1.91 32.89 2.55 7.67 1.21 1.38 0.56
804 Truck drivers 4: White 8,690 2,232,215 36.94 0.57 30.81 0.53 25.58 0.52 5.49 0.26 1.17 0.14
804 Truck drivers 5: Black 1,567 356,271 33.67 1.43 26.91 1.32 28.19 1.33 10.25 0.88 0.98 0.26
804 Truck drivers 6: Other 192 52,099 33.44 3.28 29.96 3.16 27.77 3.13 6.58 1.79 2.25 1.04
804 Truck drivers 7: Hispanic 784 207,490 34.21 1.94 25.07 1.74 31.03 2.17 7.88 1.11 1.82 0.80
804 Truck drivers 8: NonHispanic 9,665 2,433,095 36.62 0.57 30.71 0.52 25.54 0.48 6.01 0.27 1.11 0.12
806 Driver-sales workers 1: Total 570 146,319 42.40 2.32 34.10 2.22 17.41 1.80 5.47 0.98 0.63 0.38
806 Driver-sales workers 2: Male 509 131,897 42.13 2.33 34.70 2.32 17.64 1.89 4.83 0.90 0.70 0.42
806 Driver-sales workers 3: Female 61 14,422 44.80 7.30 28.59 6.25 15.33 4.64 11.28 4.25 0.00 0.00
806 Driver-sales workers 4: White 525 135,799 42.12 2.41 34.77 2.28 16.98 1.82 5.45 1.01 0.68 0.41
806 Driver-sales workers 5: Black 33 7,422 37.46 7.90 30.50 10.08 23.88 8.65 8.16 4.17 0.00 0.00
806 Driver-sales workers 6: Other 12 3,098 66.14 13.27 13.45 9.68 20.41 12.02 0.00 0.00 0.00 0.00
806 Driver-sales workers 7: Hispanic 37 9,755 50.88 10.38 28.12 8.35 14.21 5.04 4.44 3.15 2.35 2.36
806 Driver-sales workers 8: NonHispanic 533 136,564 41.79 2.28 34.53 2.17 17.64 1.83 5.54 1.00 0.51 0.37
808 Bus drivers 1: Total 1,845 437,321 30.94 1.23 30.19 1.27 29.91 1.22 7.94 0.66 1.02 0.23
808 Bus drivers 2: Male 939 223,457 32.90 1.77 28.83 1.76 29.76 1.80 7.52 0.81 0.99 0.30
808 Bus drivers 3: Female 906 213,865 28.89 1.71 31.62 1.76 30.07 1.60 8.37 1.03 1.05 0.37
808 Bus drivers 4: White 1,283 322,937 29.80 1.35 32.44 1.54 29.65 1.40 7.23 0.75 0.89 0.26
808 Bus drivers 5: Black 521 103,439 34.57 2.67 23.89 2.11 29.68 2.11 10.33 1.51 1.53 0.62
808 Bus drivers 6: Other 41 10,945 30.33 8.92 23.66 7.73 39.90 5.99 6.11 4.22 0.00 0.00
808 Bus drivers 7: Hispanic 114 28,360 36.59 4.75 23.44 5.03 34.54 4.47 3.12 1.36 2.31 1.71
808 Bus drivers 8: NonHispanic 1,731 408,961 30.55 1.29 30.66 1.26 29.59 1.26 8.27 0.71 0.93 0.23
809 Taxicab drivers and chauffeurs 1: Total 777 198,640 33.97 2.11 25.05 1.87 28.67 1.55 9.16 1.01 3.15 0.90
809 Taxicab drivers and chauffeurs 2: Male 669 173,020 34.61 2.21 26.05 2.11 27.08 1.56 9.29 1.10 2.97 0.83
809 Taxicab drivers and chauffeurs 3: Female 108 25,620 29.66 5.06 18.30 3.88 39.45 5.47 8.25 2.69 4.36 2.76
809 Taxicab drivers and chauffeurs 4: White 504 132,486 31.21 2.35 25.93 1.89 29.71 1.94 10.11 1.27 3.05 1.13
809 Taxicab drivers and chauffeurs 5: Black 213 48,374 38.70 4.18 23.80 4.55 26.71 2.83 7.30 1.85 3.50 1.87
809 Taxicab drivers and chauffeurs 6: Other 60 17,779 41.81 8.68 21.85 6.41 26.28 5.51 7.11 3.33 2.96 2.07
809 Taxicab drivers and chauffeurs 7: Hispanic 77 21,138 29.45 5.94 29.27 5.35 27.25 4.88 11.40 3.32 2.63 1.84
809 Taxicab drivers and chauffeurs 8: NonHispanic 700 177,502 34.51 2.40 24.54 2.06 28.84 1.66 8.89 1.03 3.22 0.93
844 Operating engineers 1: Total 986 253,326 37.80 1.67 28.71 1.38 27.41 1.45 4.77 0.69 1.31 0.34
844 Operating engineers 2: Male 968 247,849 37.52 1.70 28.62 1.38 27.75 1.48 4.78 0.70 1.34 0.35
844 Operating engineers 3: Female 18 5,477 50.50 13.88 32.70 12.57 12.24 6.97 4.57 4.52 0.00 0.00
844 Operating engineers 4: White 870 225,841 39.48 1.80 29.26 1.45 25.51 1.41 4.55 0.70 1.20 0.35
844 Operating engineers 5: Black 89 20,881 25.14 4.68 23.50 4.68 43.72 5.63 6.82 2.94 0.83 0.84
844 Operating engineers 6: Other 27 6,605 19.85 6.02 26.06 9.29 41.55 7.99 6.08 3.13 6.46 6.33
844 Operating engineers 7: Hispanic 60 14,692 26.32 7.07 29.54 6.15 39.47 6.67 4.68 2.66 0.00 0.00
844 Operating engineers 8: NonHispanic 926 238,634 38.51 1.72 28.66 1.50 26.67 1.47 4.78 0.72 1.39 0.36
856 Industrial truck and tractor equipment operators 1: Total 1,816 450,241 33.59 1.13 30.30 1.16 28.47 1.12 6.86 0.62 0.78 0.20
856 Industrial truck and tractor equipment operators 2: Male 1,704 424,058 33.81 1.17 30.19 1.15 28.17 1.16 7.01 0.64 0.83 0.21
856 Industrial truck and tractor equipment operators 3: Female 112 26,183 29.96 4.56 32.08 4.87 33.40 4.48 4.55 2.08 0.00 0.00
856 Industrial truck and tractor equipment operators 4: White 1,404 355,429 34.71 1.30 31.95 1.30 26.40 1.29 6.15 0.67 0.79 0.22
856 Industrial truck and tractor equipment operators 5: Black 386 87,722 28.49 2.41 24.14 2.72 36.21 2.57 10.35 1.49 0.81 0.52
856 Industrial truck and tractor equipment operators 6: Other 26 7,090 39.74 9.11 22.91 10.41 37.36 9.43 0.00 0.00 0.00 0.00
856 Industrial truck and tractor equipment operators 7: Hispanic 200 50,177 32.17 3.39 28.43 3.33 31.44 4.17 7.08 2.04 0.88 0.62
856 Industrial truck and tractor equipment operators 8: NonHispanic 1,616 400,064 33.76 1.20 30.53 1.26 28.10 1.13 6.84 0.65 0.77 0.21
859 Miscellaneous material moving equipment operators 1: Total 456 117,109 37.54 2.51 29.96 2.16 26.47 2.01 5.32 1.23 0.72 0.44
859 Miscellaneous material moving equipment operators 2: Male 377 98,087 39.25 2.75 28.54 2.42 26.04 2.18 5.32 1.41 0.85 0.52
859 Miscellaneous material moving equipment operators 3: Female 79 19,023 28.75 5.22 37.21 4.91 28.72 5.47 5.32 2.31 0.00 0.00
859 Miscellaneous material moving equipment operators 4: White 372 96,955 40.22 2.54 30.47 2.30 23.96 2.04 4.49 1.28 0.86 0.53
859 Miscellaneous material moving equipment operators 5: Black 72 16,993 25.73 5.58 28.90 6.36 38.51 6.08 6.86 3.04 0.00 0.00
859 Miscellaneous material moving equipment operators 6: Other 12 3,161 19.01 14.25 19.78 13.37 38.76 16.58 22.44 15.14 0.00 0.00
859 Miscellaneous material moving equipment operators 7: Hispanic 38 9,740 45.48 9.25 24.17 6.70 25.61 7.14 2.17 2.13 2.57 2.55
859 Miscellaneous material moving equipment operators 8: NonHispanic 418 107,369 36.82 2.61 30.48 2.32 26.55 2.03 5.60 1.31 0.55 0.41
869 Construction laborers 1: Total 2,707 697,191 38.15 1.12 28.35 1.01 25.69 1.17 6.67 0.52 1.15 0.23
869 Construction laborers 2: Male 2,625 676,315 38.35 1.13 28.13 1.02 25.86 1.17 6.50 0.53 1.16 0.23
869 Construction laborers 3: Female 82 20,877 31.46 5.76 35.18 5.76 20.20 4.45 12.25 4.11 0.90 0.90
869 Construction laborers 4: White 2,216 585,900 39.51 1.23 28.82 1.08 24.44 1.22 6.36 0.58 0.88 0.22
869 Construction laborers 5: Black 440 97,045 30.41 2.29 27.24 2.53 31.43 2.69 8.39 1.52 2.54 0.91
869 Construction laborers 6: Other 51 14,246 34.90 6.58 16.56 5.22 37.81 7.06 7.82 3.72 2.90 2.08
869 Construction laborers 7: Hispanic 427 111,458 33.43 2.62 28.00 2.27 28.79 3.20 8.87 1.46 0.91 0.46
869 Construction laborers 8: NonHispanic 2,280 585,733 39.04 1.23 28.41 1.08 25.10 1.15 6.25 0.57 1.20 0.26
877 Stock handlers and baggers 1: Total 2,534 650,044 41.02 1.04 29.17 1.02 24.92 0.85 4.33 0.43 0.57 0.15
877 Stock handlers and baggers 2: Male 1,724 449,704 45.63 1.35 27.77 1.21 23.13 0.98 3.07 0.40 0.40 0.17
877 Stock handlers and baggers 3: Female 810 200,340 30.65 1.73 32.32 1.69 28.94 1.57 7.15 1.03 0.95 0.35
877 Stock handlers and baggers 4: White 2,113 550,640 42.07 1.10 29.08 1.10 24.44 0.95 3.78 0.44 0.64 0.18
877 Stock handlers and baggers 5: Black 345 77,266 34.58 2.79 30.05 2.58 26.90 2.39 8.27 1.71 0.20 0.20
877 Stock handlers and baggers 6: Other 76 22,138 37.13 4.85 28.54 6.56 30.05 6.58 4.28 2.16 0.00 0.00
877 Stock handlers and baggers 7: Hispanic 257 66,614 35.87 3.08 27.37 3.48 28.46 3.34 6.57 2.04 1.73 0.86
877 Stock handlers and baggers 8: NonHispanic 2,277 583,430 41.60 1.09 29.38 1.06 24.51 0.86 4.07 0.41 0.44 0.14
883 Freight, stock, and material handlers, nec. 1: Total 2,235 571,810 38.19 1.13 29.66 1.00 26.28 1.07 5.27 0.51 0.60 0.17
883 Freight, stock, and material handlers, nec. 2: Male 1,967 508,323 38.39 1.18 29.79 1.05 25.90 1.15 5.28 0.54 0.64 0.19
883 Freight, stock, and material handlers, nec. 3: Female 268 63,486 36.63 3.30 28.67 3.16 29.25 3.36 5.15 1.26 0.30 0.29
883 Freight, stock, and material handlers, nec. 4: White 1,724 450,810 39.68 1.34 30.71 1.08 24.25 1.21 4.81 0.59 0.54 0.17
883 Freight, stock, and material handlers, nec. 5: Black 455 105,087 30.53 2.16 26.44 2.43 35.41 2.83 6.89 1.29 0.73 0.42
883 Freight, stock, and material handlers, nec. 6: Other 56 15,913 46.56 5.42 21.21 5.52 23.45 4.66 7.52 3.98 1.26 1.26
883 Freight, stock, and material handlers, nec. 7: Hispanic 194 50,866 39.14 3.70 26.85 3.12 30.90 3.91 3.11 1.46 0.00 0.00
883 Freight, stock, and material handlers, nec. 8: NonHispanic 2,041 520,944 38.10 1.16 29.94 1.06 25.82 1.13 5.48 0.53 0.66 0.19
885 Garage and service station related occs 1: Total 611 158,092 39.03 2.12 31.25 1.88 23.33 1.92 6.06 0.99 0.33 0.23
885 Garage and service station related occs 2: Male 571 147,764 40.82 2.30 29.79 1.99 23.19 2.05 5.85 1.03 0.35 0.25
885 Garage and service station related occs 3: Female 40 10,328 13.43 5.07 52.20 8.58 25.32 6.24 9.05 5.26 0.00 0.00
885 Garage and service station related occs 4: White 517 138,660 39.07 2.30 32.70 2.06 21.84 2.03 6.02 1.09 0.37 0.27
885 Garage and service station related occs 5: Black 83 16,431 39.55 5.09 20.86 4.87 32.04 5.86 7.56 2.88 0.00 0.00
885 Garage and service station related occs 6: Other 11 3,002 34.14 15.27 21.27 14.07 44.59 17.60 0.00 0.00 0.00 0.00
885 Garage and service station related occs 7: Hispanic 65 18,420 35.33 6.01 36.25 6.07 27.10 7.51 1.33 1.27 0.00 0.00
885 Garage and service station related occs 8: NonHispanic 546 139,673 39.52 2.19 30.59 1.99 22.83 1.83 6.69 1.10 0.37 0.27
887 Vehicle washers and equipment cleaners 1: Total 676 167,519 34.42 2.05 28.76 2.02 27.96 1.90 7.88 1.37 0.99 0.39
887 Vehicle washers and equipment cleaners 2: Male 590 147,892 34.92 2.17 29.20 2.17 26.90 1.98 7.86 1.46 1.12 0.44
887 Vehicle washers and equipment cleaners 3: Female 86 19,627 30.59 5.47 25.39 4.72 35.95 6.39 8.07 3.99 0.00 0.00
887 Vehicle washers and equipment cleaners 4: White 483 125,081 36.62 2.48 29.40 2.38 26.28 2.23 6.87 1.64 0.82 0.41
887 Vehicle washers and equipment cleaners 5: Black 176 38,325 27.13 3.96 28.25 3.66 33.33 3.77 10.63 2.40 0.66 0.47
887 Vehicle washers and equipment cleaners 6: Other 17 4,113 35.52 12.31 13.67 8.02 28.70 12.98 12.95 8.60 9.16 8.63
887 Vehicle washers and equipment cleaners 7: Hispanic 90 23,866 25.55 5.14 29.19 5.10 31.53 5.98 13.73 6.69 0.00 0.00
887 Vehicle washers and equipment cleaners 8: NonHispanic 586 143,653 35.90 2.29 28.69 2.08 27.36 2.02 6.91 1.03 1.15 0.45
888 Hand packers and packagers 1: Total 1,009 245,670 28.53 1.32 30.14 1.68 31.13 1.71 8.75 0.92 1.45 0.38
888 Hand packers and packagers 2: Male 349 87,741 28.27 2.50 30.13 2.57 32.74 2.72 7.38 1.46 1.47 0.63
888 Hand packers and packagers 3: Female 660 157,929 28.68 1.67 30.15 2.14 30.22 2.11 9.51 1.27 1.44 0.49
888 Hand packers and packagers 4: White 779 195,457 28.42 1.58 31.14 1.88 29.49 1.90 9.44 1.12 1.52 0.41
888 Hand packers and packagers 5: Black 185 38,411 29.44 3.25 26.16 3.74 35.20 3.84 7.63 1.95 1.58 1.22
888 Hand packers and packagers 6: Other 45 11,801 27.50 6.72 26.62 7.78 44.90 7.04 0.98 0.99 0.00 0.00
888 Hand packers and packagers 7: Hispanic 147 36,892 24.51 3.03 23.26 3.29 33.50 4.80 15.57 3.59 3.15 1.24
888 Hand packers and packagers 8: NonHispanic 862 208,778 29.24 1.56 31.35 1.84 30.71 1.78 7.55 0.93 1.15 0.39
889 Laborers, except construction 1: Total 5,004 1,250,422 33.17 0.84 31.62 1.06 27.12 0.71 7.01 0.43 1.08 0.18
889 Laborers, except construction 2: Male 3,858 981,803 35.47 0.92 32.02 1.08 25.53 0.76 6.15 0.43 0.84 0.19
889 Laborers, except construction 3: Female 1,146 268,620 24.71 1.46 30.18 1.75 32.97 1.44 10.18 1.02 1.96 0.41
889 Laborers, except construction 4: White 3,872 994,022 33.96 0.99 33.39 1.20 25.77 0.74 6.06 0.42 0.82 0.15
889 Laborers, except construction 5: Black 984 216,372 29.22 1.86 24.31 1.58 32.93 1.76 11.30 1.32 2.24 0.70
889 Laborers, except construction 6: Other 148 40,029 35.00 5.50 27.26 4.51 29.15 4.23 7.51 2.52 1.08 0.76
889 Laborers, except construction 7: Hispanic 543 138,228 31.59 2.26 30.75 2.51 28.63 2.25 8.01 1.20 1.01 0.44
889 Laborers, except construction 8: NonHispanic 4,461 1,112,194 33.36 0.92 31.73 1.12 26.94 0.74 6.89 0.46 1.09 0.19