Table 9. Prevalence of Self Reported Health by 41 Occupations
  Health Status
  Occupation 41 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"
1 Officials and administrators public admin 1: Total 2,157 542,174 42.33 1.18 32.92 1.02 20.22 1.00 3.87 0.46 0.66 0.22
1 Officials and administrators public admin 2: Male 1,212 315,909 44.29 1.89 33.43 1.49 18.19 1.38 3.29 0.51 0.79 0.31
1 Officials and administrators public admin 3: Female 945 226,264 39.58 1.47 32.19 1.44 23.08 1.39 4.69 0.81 0.47 0.21
1 Officials and administrators public admin 4: White 1,861 472,920 43.65 1.21 33.19 1.06 18.62 1.03 3.89 0.48 0.66 0.24
1 Officials and administrators public admin 5: Black 225 49,487 34.92 3.26 29.59 3.75 31.54 3.10 3.51 1.18 0.45 0.45
1 Officials and administrators public admin 6: Other 71 19,766 29.20 5.63 34.68 7.79 30.63 5.63 4.38 2.84 1.10 1.14
1 Officials and administrators public admin 7: Hispanic 92 23,438 27.50 3.71 38.70 5.17 26.39 5.84 5.25 2.26 2.16 1.54
1 Officials and administrators public admin 8: NonHispanic 2,065 518,736 43.00 1.18 32.66 1.03 19.94 0.98 3.81 0.44 0.59 0.22
2 Managers administrators, except public administration 1: Total 44,320 11,337,987 46.88 0.34 31.28 0.30 17.79 0.21 3.45 0.10 0.59 0.04
2 Managers administrators, except public administration 2: Male 27,924 7,260,207 48.94 0.40 30.66 0.35 16.57 0.25 3.25 0.11 0.58 0.05
2 Managers administrators, except public administration 3: Female 16,396 4,077,780 43.22 0.42 32.39 0.41 19.97 0.34 3.83 0.17 0.60 0.06
2 Managers administrators, except public administration 4: White 40,233 10,358,556 47.56 0.34 31.28 0.31 17.27 0.21 3.32 0.10 0.58 0.04
2 Managers administrators, except public administration 5: Black 2,760 630,687 38.93 1.30 30.99 1.04 24.24 1.03 5.03 0.58 0.81 0.19
2 Managers administrators, except public administration 6: Other 1,327 348,745 41.17 1.60 31.85 1.39 21.70 1.13 4.69 0.56 0.59 0.22
2 Managers administrators, except public administration 7: Hispanic 2,061 537,742 41.37 1.08 30.89 1.15 22.11 0.93 5.03 0.53 0.61 0.21
2 Managers administrators, except public administration 8: NonHispanic 42,259 10,800,245 47.16 0.34 31.30 0.31 17.58 0.22 3.38 0.09 0.59 0.04
3 Management related occs 1: Total 15,574 3,975,190 46.55 0.48 32.12 0.44 17.82 0.34 3.12 0.14 0.40 0.05
3 Management related occs 2: Male 7,267 1,909,843 49.54 0.66 30.31 0.58 16.86 0.47 2.92 0.20 0.37 0.07
3 Management related occs 3: Female 8,307 2,065,347 43.78 0.58 33.79 0.56 18.71 0.41 3.30 0.20 0.42 0.07
3 Management related occs 4: White 13,613 3,508,911 47.54 0.52 32.11 0.49 17.06 0.37 2.93 0.14 0.36 0.05
3 Management related occs 5: Black 1,342 302,468 37.29 1.26 32.80 1.27 24.50 1.17 4.53 0.64 0.88 0.25
3 Management related occs 6: Other 619 163,811 42.44 2.61 31.00 2.27 21.75 1.42 4.56 1.07 0.26 0.24
3 Management related occs 7: Hispanic 795 208,368 43.98 1.97 30.48 1.68 21.41 1.37 3.82 0.72 0.32 0.23
3 Management related occs 8: NonHispanic 14,779 3,766,822 46.69 0.48 32.21 0.44 17.62 0.35 3.08 0.14 0.40 0.05
4 Engineers 1: Total 7,700 2,009,300 50.62 0.60 32.28 0.55 14.60 0.42 2.23 0.15 0.27 0.06
4 Engineers 2: Male 7,054 1,848,533 51.01 0.60 32.09 0.55 14.39 0.43 2.25 0.16 0.26 0.07
4 Engineers 3: Female 646 160,767 46.20 2.17 34.47 1.91 16.93 1.50 1.99 0.50 0.41 0.24
4 Engineers 4: White 6,831 1,780,112 51.64 0.61 31.96 0.56 14.20 0.44 1.93 0.15 0.27 0.07
4 Engineers 5: Black 324 85,626 41.78 3.18 35.07 2.99 16.73 2.17 6.09 1.30 0.33 0.24
4 Engineers 6: Other 545 143,563 43.20 2.25 34.54 2.25 18.25 1.45 3.70 0.87 0.31 0.23
4 Engineers 7: Hispanic 272 72,090 50.45 3.56 28.60 3.52 17.24 2.24 3.38 1.08 0.33 0.32
4 Engineers 8: NonHispanic 7,428 1,937,210 50.63 0.58 32.42 0.56 14.50 0.42 2.19 0.16 0.27 0.06
5 Architects and surveyors 1: Total 778 201,731 54.20 2.07 29.03 1.85 13.71 1.27 2.29 0.52 0.77 0.28
5 Architects and surveyors 2: Male 678 177,084 54.75 2.14 28.78 1.98 13.37 1.37 2.36 0.56 0.74 0.29
5 Architects and surveyors 3: Female 100 24,647 50.21 5.51 30.84 5.15 16.16 4.03 1.79 1.76 1.00 1.00
5 Architects and surveyors 4: White 717 186,076 54.83 2.08 29.89 1.95 12.54 1.33 1.98 0.53 0.76 0.30
5 Architects and surveyors 5: Black 27 7,204 52.82 8.48 17.88 7.12 23.62 7.24 3.68 3.55 1.99 1.99
5 Architects and surveyors 6: Other 34 8,451 41.51 7.68 19.72 6.66 30.97 9.32 7.80 3.92 0.00 0.00
5 Architects and surveyors 7: Hispanic 55 13,983 39.08 7.43 34.83 7.24 21.04 6.47 5.05 2.48 0.00 0.00
5 Architects and surveyors 8: NonHispanic 723 187,748 55.32 2.14 28.60 1.86 13.16 1.40 2.08 0.55 0.83 0.30
6 Natural mathematical/computer scientists 1: Total 5,115 1,330,325 49.68 0.90 32.87 0.83 14.76 0.55 2.33 0.23 0.36 0.10
6 Natural mathematical/computer scientists 2: Male 3,433 907,823 51.12 1.03 32.80 0.91 13.69 0.62 2.12 0.28 0.28 0.09
6 Natural mathematical/computer scientists 3: Female 1,682 422,502 46.61 1.39 33.03 1.42 17.05 1.05 2.78 0.44 0.53 0.19
6 Natural mathematical/computer scientists 4: White 4,421 1,154,319 51.03 0.96 32.60 0.84 13.71 0.56 2.28 0.26 0.37 0.11
6 Natural mathematical/computer scientists 5: Black 342 84,541 36.88 2.55 35.90 2.64 23.71 2.09 3.24 0.87 0.27 0.19
6 Natural mathematical/computer scientists 6: Other 352 91,465 44.51 2.74 33.46 2.33 19.65 2.47 2.15 0.64 0.22 0.22
6 Natural mathematical/computer scientists 7: Hispanic 182 48,104 52.13 4.27 21.08 3.69 20.35 3.02 4.42 1.67 2.03 1.08
6 Natural mathematical/computer scientists 8: NonHispanic 4,933 1,282,221 49.59 0.86 33.31 0.80 14.55 0.54 2.25 0.23 0.30 0.09
7 Health diagnosing occs 1: Total 3,249 829,443 65.27 0.95 23.06 0.89 9.44 0.62 2.10 0.25 0.13 0.06
7 Health diagnosing occs 2: Male 2,598 668,142 66.35 0.96 22.13 0.90 9.56 0.64 1.86 0.27 0.10 0.06
7 Health diagnosing occs 3: Female 651 161,301 60.85 2.17 26.90 1.93 8.93 1.24 3.07 0.72 0.25 0.18
7 Health diagnosing occs 4: White 2,839 724,399 65.39 1.04 23.22 0.95 9.25 0.62 1.99 0.27 0.15 0.07
7 Health diagnosing occs 5: Black 130 31,964 66.17 3.56 24.24 4.00 7.78 2.24 1.82 0.94 0.00 0.00
7 Health diagnosing occs 6: Other 280 73,080 63.75 3.16 20.95 2.48 11.98 2.18 3.32 1.14 0.00 0.00
7 Health diagnosing occs 7: Hispanic 153 41,633 66.60 4.31 18.62 3.43 13.53 3.06 1.26 0.92 0.00 0.00
7 Health diagnosing occs 8: NonHispanic 3,096 787,809 65.20 0.98 23.30 0.90 9.22 0.62 2.14 0.25 0.14 0.06
8 Health assessment/treating occs 1: Total 9,988 2,482,299 46.76 0.57 30.50 0.48 19.32 0.46 3.08 0.18 0.33 0.06
8 Health assessment/treating occs 2: Male 1,217 316,435 54.88 1.51 28.46 1.45 13.46 0.94 2.98 0.57 0.22 0.13
8 Health assessment/treating occs 3: Female 8,771 2,165,864 45.58 0.62 30.80 0.49 20.17 0.51 3.10 0.20 0.35 0.07
8 Health assessment/treating occs 4: White 8,445 2,133,040 48.43 0.61 30.73 0.53 17.80 0.44 2.73 0.19 0.31 0.06
8 Health assessment/treating occs 5: Black 1,078 230,708 34.54 1.67 28.14 1.50 31.30 1.69 5.49 0.81 0.53 0.22
8 Health assessment/treating occs 6: Other 465 118,550 40.43 2.50 31.06 2.53 23.33 2.00 4.78 1.03 0.40 0.27
8 Health assessment/treating occs 7: Hispanic 336 86,259 43.53 3.03 30.25 2.26 23.21 2.76 2.73 0.94 0.28 0.27
8 Health assessment/treating occs 8: NonHispanic 9,652 2,396,040 46.88 0.58 30.51 0.50 19.18 0.45 3.10 0.19 0.34 0.06
9 Teachers, librarians, counselors 1: Total 20,938 5,231,152 47.10 0.51 32.67 0.42 16.90 0.37 2.93 0.13 0.39 0.05
9 Teachers, librarians, counselors 2: Male 6,340 1,642,027 49.76 0.81 31.27 0.63 15.87 0.62 2.69 0.23 0.41 0.08
9 Teachers, librarians, counselors 3: Female 14,598 3,589,125 45.89 0.54 33.31 0.48 17.38 0.38 3.05 0.15 0.38 0.06
9 Teachers, librarians, counselors 4: White 18,208 4,612,706 48.89 0.51 32.70 0.43 15.52 0.35 2.53 0.13 0.35 0.05
9 Teachers, librarians, counselors 5: Black 2,136 452,612 32.36 1.10 31.24 1.20 29.39 1.22 6.37 0.56 0.63 0.19
9 Teachers, librarians, counselors 6: Other 594 165,834 37.65 2.22 35.77 2.16 21.20 2.27 4.66 1.14 0.72 0.39
9 Teachers, librarians, counselors 7: Hispanic 828 217,139 42.33 2.02 30.55 1.83 20.81 1.49 5.87 0.73 0.44 0.15
9 Teachers, librarians, counselors 8: NonHispanic 20,110 5,014,013 47.31 0.51 32.76 0.41 16.73 0.37 2.81 0.13 0.39 0.05
10 Writers, artists, entertainers, athletes 1: Total 7,538 1,971,725 48.11 0.68 31.62 0.54 16.42 0.52 3.31 0.23 0.54 0.09
10 Writers, artists, entertainers, athletes 2: Male 3,828 1,025,232 50.43 0.86 30.21 0.70 15.63 0.71 3.16 0.34 0.57 0.14
10 Writers, artists, entertainers, athletes 3: Female 3,710 946,492 45.60 0.85 33.15 0.78 17.28 0.64 3.47 0.30 0.50 0.12
10 Writers, artists, entertainers, athletes 4: White 6,879 1,799,120 48.99 0.66 31.57 0.57 15.86 0.56 3.06 0.24 0.51 0.10
10 Writers, artists, entertainers, athletes 5: Black 411 103,027 39.55 2.88 30.56 2.53 23.73 2.57 5.09 1.06 1.08 0.57
10 Writers, artists, entertainers, athletes 6: Other 248 69,577 38.11 3.57 34.35 3.49 20.12 2.38 7.08 1.54 0.34 0.34
10 Writers, artists, entertainers, athletes 7: Hispanic 359 93,668 44.37 2.33 28.80 2.47 21.84 2.04 4.75 1.15 0.23 0.23
10 Writers, artists, entertainers, athletes 8: NonHispanic 7,179 1,878,056 48.30 0.70 31.76 0.54 16.15 0.52 3.24 0.23 0.55 0.10
11 Other professional specialty occs 1: Total 8,822 2,227,360 49.61 0.63 29.11 0.51 17.13 0.47 3.53 0.19 0.61 0.09
11 Other professional specialty occs 2: Male 5,145 1,332,391 53.23 0.79 27.40 0.61 15.71 0.58 3.07 0.26 0.60 0.12
11 Other professional specialty occs 3: Female 3,677 894,969 44.22 0.88 31.67 0.81 19.25 0.69 4.23 0.32 0.62 0.14
11 Other professional specialty occs 4: White 7,627 1,952,622 51.45 0.67 29.25 0.54 15.76 0.46 2.90 0.20 0.64 0.10
11 Other professional specialty occs 5: Black 1,009 225,915 36.19 1.74 28.23 1.44 27.42 1.68 7.70 0.85 0.47 0.22
11 Other professional specialty occs 6: Other 186 48,823 38.41 4.26 27.71 3.48 24.27 2.99 9.61 2.95 0.00 0.00
11 Other professional specialty occs 7: Hispanic 388 98,301 41.64 2.14 29.55 2.67 21.89 2.31 5.04 1.38 1.88 0.73
11 Other professional specialty occs 8: NonHispanic 8,434 2,129,060 49.98 0.65 29.09 0.51 16.91 0.47 3.46 0.18 0.55 0.09
12 Health technologists/technicians 1: Total 5,558 1,357,639 38.70 0.89 33.59 0.86 22.63 0.58 4.66 0.29 0.42 0.08
12 Health technologists/technicians 2: Male 922 247,624 42.55 1.64 35.61 1.68 17.60 1.31 3.66 0.59 0.59 0.24
12 Health technologists/technicians 3: Female 4,636 1,110,015 37.84 0.96 33.14 0.91 23.75 0.66 4.89 0.33 0.38 0.09
12 Health technologists/technicians 4: White 4,331 1,091,114 41.09 1.00 34.11 0.89 20.39 0.63 3.93 0.30 0.48 0.10
12 Health technologists/technicians 5: Black 980 198,689 27.80 1.55 30.49 1.78 32.66 1.48 8.83 1.13 0.23 0.12
12 Health technologists/technicians 6: Other 247 67,836 31.89 3.41 34.27 3.34 29.49 2.76 4.35 1.17 0.00 0.00
12 Health technologists/technicians 7: Hispanic 345 89,019 39.32 3.05 33.19 2.83 22.01 2.62 5.47 1.50 0.00 0.00
12 Health technologists/technicians 8: NonHispanic 5,213 1,268,620 38.65 0.90 33.62 0.86 22.68 0.57 4.61 0.30 0.45 0.09
13 Technologists, technicians except health 1: Total 10,198 2,658,590 45.51 0.56 32.01 0.50 19.28 0.47 2.82 0.16 0.38 0.07
13 Technologists, technicians except health 2: Male 6,926 1,830,242 47.25 0.69 31.07 0.64 18.66 0.54 2.68 0.19 0.34 0.08
13 Technologists, technicians except health 3: Female 3,272 828,348 41.68 0.99 34.09 0.80 20.63 0.74 3.12 0.31 0.48 0.13
13 Technologists, technicians except health 4: White 8,778 2,305,125 46.29 0.60 32.06 0.51 18.63 0.49 2.64 0.17 0.38 0.07
13 Technologists, technicians except health 5: Black 816 191,172 39.47 1.69 29.97 1.63 25.67 1.47 4.40 0.74 0.49 0.26
13 Technologists, technicians except health 6: Other 604 162,293 41.56 2.67 33.67 2.53 20.96 2.04 3.49 0.87 0.32 0.23
13 Technologists, technicians except health 7: Hispanic 549 146,493 48.12 2.15 28.78 2.04 20.25 2.01 2.53 0.54 0.31 0.22
13 Technologists, technicians except health 8: NonHispanic 9,649 2,512,097 45.36 0.59 32.20 0.53 19.22 0.50 2.83 0.17 0.39 0.07
14 Supervisors and proprietors 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
14 Supervisors and proprietors 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
14 Supervisors and proprietors 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
14 Supervisors and proprietors 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
14 Supervisors and proprietors 5: Black 706 169,165 36.38 2.22 31.58 2.31 25.62 1.92 6.03 0.86 0.38 0.23
14 Supervisors and proprietors 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
14 Supervisors and proprietors 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
14 Supervisors and proprietors 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
15 Sales representatives, commodities and finance 1: Total 13,918 3,603,720 47.70 0.51 30.59 0.41 17.71 0.38 3.49 0.18 0.51 0.05
15 Sales representatives, commodities and finance 2: Male 9,127 2,395,527 48.91 0.56 30.50 0.50 16.78 0.41 3.37 0.21 0.45 0.07
15 Sales representatives, commodities and finance 3: Female 4,791 1,208,194 45.30 0.84 30.78 0.71 19.56 0.64 3.73 0.32 0.64 0.11
15 Sales representatives, commodities and finance 4: White 12,985 3,373,892 48.14 0.53 30.62 0.44 17.35 0.41 3.38 0.19 0.51 0.06
15 Sales representatives, commodities and finance 5: Black 628 145,970 41.59 2.12 31.30 1.91 21.51 1.80 5.31 0.96 0.30 0.23
15 Sales representatives, commodities and finance 6: Other 305 83,858 40.48 2.88 28.12 2.59 25.40 2.38 4.97 1.15 1.03 0.64
15 Sales representatives, commodities and finance 7: Hispanic 603 155,619 43.46 2.12 30.22 2.05 21.44 1.86 4.33 0.71 0.54 0.26
15 Sales representatives, commodities and finance 8: NonHispanic 13,315 3,448,101 47.89 0.52 30.61 0.43 17.54 0.39 3.45 0.18 0.51 0.06
16 Other sales 1: Total 23,168 5,892,896 37.60 0.40 31.79 0.39 24.09 0.36 5.59 0.17 0.94 0.07
16 Other sales 2: Male 7,668 2,016,522 43.89 0.58 30.63 0.54 20.03 0.48 4.49 0.27 0.96 0.12
16 Other sales 3: Female 15,500 3,876,373 34.33 0.48 32.39 0.48 26.20 0.42 6.16 0.21 0.92 0.08
16 Other sales 4: White 19,679 5,079,311 38.08 0.42 32.14 0.39 23.53 0.37 5.30 0.18 0.94 0.08
16 Other sales 5: Black 2,619 574,014 32.79 1.16 30.02 1.30 28.55 1.07 7.78 0.59 0.85 0.19
16 Other sales 6: Other 870 239,570 38.93 2.03 28.45 1.74 25.16 1.56 6.38 1.11 1.08 0.40
16 Other sales 7: Hispanic 1,770 453,580 34.01 1.37 31.41 1.06 26.18 1.29 6.96 0.60 1.44 0.38
16 Other sales 8: NonHispanic 21,398 5,439,315 37.90 0.40 31.82 0.41 23.91 0.37 5.47 0.16 0.90 0.07
17 Computer equipment operators 1: Total 2,669 670,109 39.37 1.03 32.03 0.99 23.95 0.77 4.04 0.42 0.61 0.13
17 Computer equipment operators 2: Male 898 239,795 44.86 1.80 30.03 1.80 21.17 1.17 3.68 0.66 0.26 0.15
17 Computer equipment operators 3: Female 1,771 430,315 36.30 1.24 33.15 1.31 25.49 1.06 4.24 0.47 0.81 0.18
17 Computer equipment operators 4: White 2,134 551,272 40.17 1.17 32.89 1.14 22.23 0.97 4.08 0.48 0.63 0.15
17 Computer equipment operators 5: Black 443 94,249 34.21 2.38 27.63 1.88 33.07 2.48 4.43 1.09 0.67 0.39
17 Computer equipment operators 6: Other 92 24,588 41.25 5.19 29.79 4.66 27.30 5.29 1.67 1.10 0.00 0.00
17 Computer equipment 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
17 Computer equipment operators 8: NonHispanic 2,510 627,741 39.36 1.07 32.31 1.00 23.54 0.83 4.13 0.43 0.66 0.14
18 Secretaries, stenographers and typists 1: Total 17,666 4,413,986 39.97 0.50 33.96 0.42 22.03 0.36 3.51 0.13 0.53 0.06
18 Secretaries, stenographers and typists 2: Male 318 82,392 44.50 2.58 30.17 2.70 19.04 2.35 5.46 1.27 0.83 0.43
18 Secretaries, stenographers and typists 3: Female 17,348 4,331,594 39.89 0.49 34.03 0.42 22.08 0.36 3.48 0.13 0.52 0.06
18 Secretaries, stenographers and typists 4: White 15,405 3,926,331 40.86 0.49 34.10 0.42 21.18 0.37 3.34 0.15 0.52 0.06
18 Secretaries, stenographers and typists 5: Black 1,888 383,375 30.74 1.23 33.26 1.48 30.28 1.20 5.18 0.71 0.54 0.18
18 Secretaries, stenographers and typists 6: Other 373 104,279 40.32 3.16 31.18 2.36 23.63 1.89 4.10 1.10 0.76 0.54
18 Secretaries, stenographers and typists 7: Hispanic 1,053 268,104 38.54 1.93 29.28 1.49 27.55 1.51 4.07 0.72 0.56 0.19
18 Secretaries, stenographers and typists 8: NonHispanic 16,613 4,145,882 40.07 0.51 34.26 0.43 21.67 0.37 3.48 0.14 0.53 0.06
19 Financial records processing occs 1: Total 8,945 2,245,512 36.51 0.53 33.83 0.53 24.75 0.49 4.23 0.24 0.68 0.10
19 Financial records processing occs 2: Male 828 220,612 40.74 1.66 31.91 1.49 21.17 1.46 5.53 0.86 0.66 0.32
19 Financial records processing occs 3: Female 8,117 2,024,900 36.05 0.56 34.03 0.56 25.14 0.50 4.09 0.24 0.68 0.11
19 Financial records processing occs 4: White 7,968 2,018,647 36.94 0.56 33.96 0.53 24.25 0.51 4.15 0.25 0.71 0.11
19 Financial records processing occs 5: Black 664 141,277 34.73 1.88 29.63 2.43 29.56 2.49 5.62 1.18 0.47 0.21
19 Financial records processing occs 6: Other 313 85,588 29.30 3.28 37.58 2.85 28.73 2.76 3.94 1.18 0.44 0.27
19 Financial records processing occs 7: Hispanic 471 118,397 33.64 2.39 31.31 2.05 27.73 1.83 6.68 0.98 0.64 0.37
19 Financial records processing occs 8: NonHispanic 8,474 2,127,115 36.67 0.57 33.97 0.54 24.58 0.50 4.09 0.24 0.68 0.10
20 Mail and message distributing 1: Total 3,735 914,844 36.11 0.83 33.37 0.87 24.92 0.78 4.90 0.36 0.70 0.12
20 Mail and message distributing 2: Male 2,307 583,219 38.65 1.01 33.34 1.07 22.05 0.93 5.32 0.46 0.65 0.16
20 Mail and message distributing 3: Female 1,428 331,625 31.65 1.42 33.42 1.29 29.97 1.27 4.16 0.52 0.80 0.23
20 Mail and message distributing 4: White 2,729 694,766 37.42 0.92 34.29 1.00 23.09 0.93 4.52 0.41 0.67 0.15
20 Mail and message distributing 5: Black 850 178,086 30.68 2.32 31.34 1.92 31.23 1.98 5.89 0.78 0.85 0.25
20 Mail and message distributing 6: Other 156 41,992 37.49 3.45 26.55 3.18 28.41 2.70 6.92 1.78 0.63 0.61
20 Mail and message distributing 7: Hispanic 280 72,808 37.35 2.31 31.76 2.70 25.21 3.11 4.76 1.46 0.93 0.49
20 Mail and message distributing 8: NonHispanic 3,455 842,036 36.01 0.87 33.51 0.91 24.89 0.80 4.91 0.38 0.68 0.13
21 Other administrative support 1: Total 37,119 9,296,535 37.44 0.37 33.21 0.33 23.91 0.29 4.80 0.13 0.64 0.04
21 Other administrative support 2: Male 9,841 2,592,119 42.10 0.58 31.70 0.55 21.34 0.50 4.16 0.20 0.69 0.09
21 Other administrative support 3: Female 27,278 6,704,416 35.63 0.38 33.80 0.37 24.90 0.32 5.05 0.15 0.62 0.04
21 Other administrative support 4: White 30,337 7,787,826 38.43 0.37 33.52 0.34 22.98 0.29 4.45 0.14 0.62 0.05
21 Other administrative support 5: Black 5,555 1,176,476 31.60 0.87 31.32 0.73 29.35 0.79 6.99 0.38 0.74 0.10
21 Other administrative support 6: Other 1,227 332,234 34.73 1.73 32.73 1.58 26.52 1.46 5.40 0.75 0.62 0.27
21 Other administrative support 7: Hispanic 2,857 733,149 34.78 0.89 30.66 0.94 27.81 1.08 6.12 0.49 0.63 0.12
21 Other administrative support 8: NonHispanic 34,262 8,563,386 37.67 0.39 33.43 0.33 23.58 0.29 4.69 0.13 0.64 0.04
22 Private household occs 1: Total 3,324 761,954 24.02 0.88 27.39 0.90 32.21 0.93 14.13 0.69 2.26 0.28
22 Private household occs 2: Male 144 36,030 32.99 4.45 27.01 4.24 29.18 4.47 9.88 2.61 0.93 0.66
22 Private household occs 3: Female 3,180 725,924 23.57 0.88 27.41 0.87 32.36 0.92 14.34 0.71 2.32 0.29
22 Private household occs 4: White 2,092 525,115 26.36 1.10 29.50 1.14 31.07 1.16 11.79 0.75 1.29 0.24
22 Private household occs 5: Black 1,155 215,855 17.66 1.22 21.99 1.54 35.02 1.67 20.70 1.52 4.63 0.71
22 Private household occs 6: Other 77 20,984 31.03 6.10 30.32 6.17 31.54 5.74 5.10 2.33 2.01 1.43
22 Private household occs 7: Hispanic 522 128,949 25.70 2.25 25.25 2.36 33.87 2.34 13.75 1.40 1.43 0.49
22 Private household occs 8: NonHispanic 2,802 633,005 23.68 0.93 27.83 0.94 31.87 0.95 14.20 0.76 2.42 0.32
23 Police and firefighters 1: Total 4,471 1,157,796 46.08 0.86 32.49 0.79 17.93 0.65 3.06 0.29 0.45 0.09
23 Police and firefighters 2: Male 3,899 1,021,431 47.27 0.87 32.06 0.82 17.38 0.67 2.85 0.28 0.44 0.09
23 Police and firefighters 3: Female 572 136,365 37.09 2.65 35.72 2.28 21.99 1.88 4.65 1.56 0.55 0.46
23 Police and firefighters 4: White 3,722 973,160 46.89 0.94 33.16 0.81 16.67 0.66 2.83 0.30 0.45 0.10
23 Police and firefighters 5: Black 675 163,151 40.70 1.98 28.83 1.89 25.12 2.22 4.81 0.85 0.54 0.28
23 Police and firefighters 6: Other 74 21,485 49.84 6.07 29.86 6.04 20.30 4.48 0.00 0.00 0.00 0.00
23 Police and firefighters 7: Hispanic 281 74,433 48.04 2.83 30.85 2.98 16.98 2.39 3.58 1.24 0.55 0.40
23 Police and firefighters 8: NonHispanic 4,190 1,083,362 45.94 0.89 32.60 0.83 17.99 0.68 3.02 0.30 0.45 0.10
24 Other protective service occs 1: Total 3,140 793,111 35.16 1.17 29.67 1.03 26.51 0.80 7.32 0.54 1.35 0.23
24 Other protective service occs 2: Male 2,488 638,415 36.18 1.22 28.91 1.06 26.36 0.91 7.10 0.60 1.45 0.26
24 Other protective service occs 3: Female 652 154,696 30.95 2.06 32.76 2.33 27.13 1.77 8.21 1.19 0.94 0.35
24 Other protective service occs 4: White 2,251 596,080 35.71 1.27 30.27 1.24 25.37 0.95 7.05 0.68 1.60 0.29
24 Other protective service occs 5: Black 794 172,579 32.51 2.06 27.50 1.98 30.50 1.52 8.84 1.05 0.66 0.34
24 Other protective service occs 6: Other 95 24,452 40.21 5.93 30.14 5.78 26.40 4.85 3.26 1.69 0.00 0.00
24 Other protective service occs 7: Hispanic 224 57,736 36.22 3.54 27.93 2.86 29.34 2.81 4.60 1.55 1.90 1.00
24 Other protective service occs 8: NonHispanic 2,916 735,375 35.08 1.17 29.80 1.05 26.29 0.80 7.53 0.57 1.31 0.23
25 Food service 1: Total 18,097 4,570,186 33.91 0.44 30.68 0.40 27.34 0.39 7.16 0.21 0.90 0.08
25 Food service 2: Male 6,577 1,734,081 40.11 0.72 30.55 0.71 23.84 0.63 4.91 0.29 0.59 0.11
25 Food service 3: Female 11,520 2,836,105 30.12 0.50 30.76 0.48 29.48 0.44 8.54 0.28 1.09 0.10
25 Food service 4: White 14,187 3,677,566 34.79 0.49 31.66 0.48 26.20 0.44 6.49 0.25 0.86 0.08
25 Food service 5: Black 2,870 604,271 29.40 1.13 25.54 0.94 32.90 1.19 10.87 0.62 1.29 0.26
25 Food service 6: Other 1,040 288,349 32.10 1.51 28.98 1.78 30.31 1.62 7.97 1.15 0.64 0.22
25 Food service 7: Hispanic 2,080 537,477 31.70 1.23 28.98 1.41 30.82 1.23 7.86 0.66 0.64 0.18
25 Food service 8: NonHispanic 16,017 4,032,710 34.20 0.50 30.91 0.43 26.88 0.43 7.07 0.23 0.94 0.08
26 Health service 1: Total 8,508 1,986,806 29.64 0.63 28.87 0.66 31.14 0.61 9.08 0.36 1.26 0.13
26 Health service 2: Male 820 207,785 38.12 1.95 27.21 2.04 27.84 1.77 5.69 0.82 1.14 0.44
26 Health service 3: Female 7,688 1,779,022 28.65 0.65 29.06 0.66 31.53 0.61 9.48 0.40 1.28 0.13
26 Health service 4: White 5,477 1,377,005 31.60 0.74 30.29 0.77 29.33 0.66 7.57 0.38 1.21 0.16
26 Health service 5: Black 2,721 529,021 23.50 1.01 25.34 1.18 36.15 1.02 13.51 0.74 1.50 0.28
26 Health service 6: Other 310 80,780 36.52 2.94 27.71 2.74 29.28 2.84 5.92 1.38 0.58 0.40
26 Health service 7: Hispanic 632 157,020 29.95 2.15 24.98 1.79 32.83 2.22 10.83 1.65 1.41 0.44
26 Health service 8: NonHispanic 7,876 1,829,786 29.62 0.64 29.20 0.68 31.00 0.60 8.93 0.38 1.25 0.14
27 Cleaning and building service 1: Total 11,852 2,836,111 28.47 0.51 28.01 0.58 31.96 0.54 10.11 0.32 1.45 0.13
27 Cleaning and building service 2: Male 6,748 1,666,580 31.88 0.65 28.61 0.74 29.57 0.71 8.78 0.41 1.16 0.15
27 Cleaning and building service 3: Female 5,104 1,169,530 23.63 0.74 27.15 0.68 35.35 0.78 12.01 0.51 1.87 0.21
27 Cleaning and building service 4: White 8,022 2,035,113 29.53 0.63 29.41 0.64 30.71 0.64 9.04 0.33 1.31 0.13
27 Cleaning and building service 5: Black 3,368 670,658 24.71 0.93 24.30 0.98 35.76 1.03 13.18 0.71 2.06 0.32
27 Cleaning and building service 6: Other 462 130,339 31.33 2.57 25.15 3.03 31.95 3.34 11.05 1.86 0.52 0.31
27 Cleaning and building service 7: Hispanic 1,583 397,872 28.16 1.25 27.13 1.50 31.96 1.27 11.05 0.75 1.70 0.28
27 Cleaning and building service 8: NonHispanic 10,269 2,438,238 28.52 0.54 28.15 0.61 31.96 0.58 9.96 0.35 1.41 0.15
28 Personal service 1: Total 9,494 2,356,169 36.43 0.60 30.87 0.52 25.11 0.52 6.36 0.28 1.23 0.13
28 Personal service 2: Male 1,639 426,790 42.83 1.47 27.57 1.30 23.05 1.20 5.30 0.58 1.25 0.36
28 Personal service 3: Female 7,855 1,929,380 35.02 0.62 31.60 0.58 25.57 0.55 6.59 0.31 1.22 0.14
28 Personal service 4: White 7,754 1,985,097 37.85 0.64 31.55 0.58 23.97 0.54 5.53 0.30 1.11 0.15
28 Personal service 5: Black 1,408 276,853 27.28 1.74 26.79 1.31 31.93 1.67 11.83 0.98 2.17 0.39
28 Personal service 6: Other 332 94,219 33.34 3.06 28.54 2.96 29.40 2.28 7.78 1.64 0.93 0.54
28 Personal service 7: Hispanic 730 185,720 32.24 1.57 24.30 1.85 32.28 1.95 9.81 1.24 1.37 0.42
28 Personal service 8: NonHispanic 8,764 2,170,450 36.79 0.63 31.44 0.54 24.50 0.53 6.06 0.27 1.21 0.13
29 Farm operators and managers 1: Total 5,843 1,399,369 36.76 0.89 28.82 0.70 25.95 0.59 6.96 0.54 1.52 0.20
29 Farm operators and managers 2: Male 4,849 1,168,400 37.63 0.97 28.35 0.76 25.21 0.62 7.15 0.57 1.66 0.21
29 Farm operators and managers 3: Female 994 230,968 32.35 1.32 31.19 1.47 29.71 1.50 5.97 0.82 0.79 0.28
29 Farm operators and managers 4: White 5,690 1,360,005 37.02 0.91 28.83 0.70 25.86 0.60 6.85 0.55 1.43 0.20
29 Farm operators and managers 5: Black 101 26,581 24.37 4.21 27.77 5.31 31.39 3.80 11.60 3.90 4.86 2.20
29 Farm operators and managers 6: Other 52 12,783 34.64 8.99 30.04 7.19 23.82 6.27 8.21 4.45 3.29 2.36
29 Farm operators and managers 7: Hispanic 166 42,237 49.83 4.65 18.26 3.42 25.78 2.88 4.63 1.69 1.49 0.90
29 Farm operators and managers 8: NonHispanic 5,677 1,357,132 36.35 0.90 29.14 0.71 25.96 0.60 7.03 0.55 1.52 0.21
30 Farm workers and other agricultural workers 1: Total 6,463 1,616,443 36.70 0.91 29.25 0.68 25.12 0.77 7.46 0.39 1.47 0.16
30 Farm workers and other agricultural workers 2: Male 5,271 1,322,851 37.28 0.96 28.58 0.73 25.15 0.77 7.46 0.42 1.54 0.18
30 Farm workers and other agricultural workers 3: Female 1,192 293,592 34.12 1.56 32.28 1.50 25.01 1.42 7.45 0.98 1.14 0.33
30 Farm workers and other agricultural workers 4: White 5,625 1,421,858 38.11 0.97 29.78 0.74 24.08 0.86 6.75 0.39 1.28 0.17
30 Farm workers and other agricultural workers 5: Black 698 158,075 24.76 2.21 24.72 2.13 33.06 2.57 14.18 1.42 3.28 0.84
30 Farm workers and other agricultural workers 6: Other 140 36,510 33.35 4.04 28.09 4.57 31.37 2.86 6.13 2.26 1.07 0.73
30 Farm workers and other agricultural workers 7: Hispanic 1,489 373,069 32.02 2.35 27.32 1.34 32.48 1.92 7.05 0.70 1.13 0.33
30 Farm workers and other agricultural workers 8: NonHispanic 4,974 1,243,374 38.10 0.96 29.83 0.76 22.92 0.69 7.58 0.44 1.57 0.19
31 Forestry and fishing occs 1: Total 736 199,857 36.07 2.16 25.59 2.32 28.17 1.67 7.65 1.31 2.52 0.65
31 Forestry and fishing occs 2: Male 704 191,542 36.30 2.00 25.16 2.31 28.15 1.68 7.77 1.37 2.63 0.67
31 Forestry and fishing occs 3: Female 32 8,315 30.82 12.82 35.40 11.46 28.76 9.02 5.01 3.81 0.00 0.00
31 Forestry and fishing occs 4: White 620 170,245 38.02 2.52 27.80 2.48 26.25 1.80 5.54 0.97 2.39 0.70
31 Forestry and fishing occs 5: Black 98 23,999 23.03 2.74 12.32 3.62 39.84 5.09 20.77 5.34 4.05 2.59
31 Forestry and fishing occs 6: Other 18 5,614 32.83 8.20 15.28 8.87 36.43 6.53 15.46 8.02 0.00 0.00
31 Forestry and fishing occs 7: Hispanic 25 6,092 45.62 12.04 12.15 6.62 31.51 10.20 10.72 5.42 0.00 0.00
31 Forestry and fishing occs 8: NonHispanic 711 193,766 35.77 2.12 26.01 2.39 28.07 1.66 7.56 1.32 2.60 0.67
32 Mechanics and repairers 1: Total 16,258 4,203,192 38.38 0.43 31.68 0.40 23.41 0.39 5.53 0.21 1.01 0.09
32 Mechanics and repairers 2: Male 15,585 4,037,571 38.60 0.44 31.69 0.41 23.19 0.40 5.51 0.21 1.01 0.09
32 Mechanics and repairers 3: Female 673 165,622 32.91 2.07 31.39 1.96 28.70 1.95 6.02 1.04 0.98 0.50
32 Mechanics and repairers 4: White 14,399 3,756,127 38.52 0.44 32.17 0.41 22.90 0.39 5.38 0.23 1.03 0.09
32 Mechanics and repairers 5: Black 1,459 334,805 37.54 1.74 27.58 1.46 27.51 1.61 6.69 0.83 0.68 0.23
32 Mechanics and repairers 6: Other 400 112,260 36.01 2.97 27.25 2.09 28.23 2.06 7.10 1.62 1.41 0.54
32 Mechanics and repairers 7: Hispanic 1,190 312,662 38.04 1.43 29.42 1.43 25.33 1.27 6.70 0.72 0.52 0.18
32 Mechanics and repairers 8: NonHispanic 15,068 3,890,530 38.40 0.46 31.86 0.42 23.26 0.40 5.43 0.23 1.05 0.09
33 Construction and extractive trades 1: Total 19,111 4,960,923 40.62 0.42 30.88 0.37 22.39 0.34 5.36 0.19 0.76 0.06
33 Construction and extractive trades 2: Male 18,665 4,852,370 40.79 0.43 30.83 0.37 22.31 0.35 5.34 0.19 0.74 0.06
33 Construction and extractive trades 3: Female 446 108,553 33.30 2.28 33.10 2.66 25.97 2.28 6.30 1.21 1.34 0.70
33 Construction and extractive trades 4: White 17,140 4,502,359 41.31 0.44 31.16 0.39 21.69 0.36 5.13 0.20 0.72 0.07
33 Construction and extractive trades 5: Black 1,589 350,909 34.23 1.44 27.78 1.33 29.39 1.28 7.30 0.74 1.30 0.31
33 Construction and extractive trades 6: Other 382 107,655 32.82 2.97 29.24 2.15 28.73 2.27 8.57 1.40 0.66 0.41
33 Construction and extractive trades 7: Hispanic 1,717 451,211 37.20 1.60 26.59 1.58 28.10 1.47 7.43 0.92 0.69 0.20
33 Construction and extractive trades 8: NonHispanic 17,394 4,509,712 40.97 0.42 31.31 0.39 21.81 0.34 5.15 0.19 0.76 0.06
34 Precision production occs 1: Total 14,874 3,766,588 36.97 0.53 31.22 0.54 24.96 0.45 5.84 0.21 1.01 0.09
34 Precision production occs 2: Male 11,282 2,894,734 39.08 0.57 31.74 0.56 23.19 0.49 4.96 0.20 1.04 0.11
34 Precision production occs 3: Female 3,592 871,854 29.98 0.90 29.50 0.90 30.84 0.77 8.77 0.53 0.91 0.18
34 Precision production occs 4: White 12,844 3,299,504 37.74 0.58 31.57 0.55 24.21 0.46 5.44 0.20 1.04 0.10
34 Precision production occs 5: Black 1,435 310,343 29.04 1.39 28.82 1.58 31.23 1.32 10.02 0.98 0.89 0.22
34 Precision production occs 6: Other 595 156,740 36.37 2.47 28.65 2.02 28.30 1.91 6.04 1.19 0.64 0.33
34 Precision production occs 7: Hispanic 1,326 343,542 35.53 1.62 26.94 1.45 28.55 1.23 7.56 0.72 1.42 0.34
34 Precision production occs 8: NonHispanic 13,548 3,423,046 37.11 0.54 31.65 0.56 24.60 0.46 5.67 0.23 0.97 0.09
35 Machine operators/tenderers, except precision 1: Total 21,002 5,221,401 30.59 0.47 30.18 0.47 30.73 0.41 7.60 0.23 0.90 0.06
35 Machine operators/tenderers, except precision 2: Male 12,267 3,134,398 35.35 0.57 30.56 0.51 27.14 0.47 6.12 0.26 0.83 0.08
35 Machine operators/tenderers, except precision 3: Female 8,735 2,087,003 23.45 0.56 29.60 0.69 36.11 0.64 9.82 0.37 1.01 0.12
35 Machine operators/tenderers, except precision 4: White 16,448 4,210,362 31.85 0.55 30.93 0.51 29.36 0.47 7.04 0.25 0.81 0.07
35 Machine operators/tenderers, except precision 5: Black 3,729 794,809 23.78 0.98 26.93 0.91 37.47 1.06 10.55 0.65 1.28 0.21
35 Machine operators/tenderers, except precision 6: Other 825 216,230 31.02 1.58 27.52 1.70 32.50 1.73 7.71 0.81 1.26 0.41
35 Machine operators/tenderers, except precision 7: Hispanic 2,637 660,521 30.69 1.10 26.80 1.11 32.81 1.42 8.77 0.49 0.93 0.20
35 Machine operators/tenderers, except precision 8: NonHispanic 18,365 4,560,880 30.57 0.51 30.66 0.49 30.43 0.42 7.43 0.25 0.90 0.07
36 Fabricators, assemblers, inspectors, samplers 1: Total 10,312 2,566,964 31.98 0.56 30.68 0.58 28.96 0.50 7.27 0.30 1.12 0.14
36 Fabricators, assemblers, inspectors, samplers 2: Male 6,209 1,581,326 35.96 0.64 31.35 0.66 25.93 0.57 5.73 0.30 1.02 0.16
36 Fabricators, assemblers, inspectors, samplers 3: Female 4,103 985,638 25.58 0.83 29.60 0.91 33.81 0.79 9.74 0.55 1.27 0.21
36 Fabricators, assemblers, inspectors, samplers 4: White 8,334 2,118,235 32.75 0.64 31.58 0.63 27.81 0.55 6.81 0.30 1.05 0.16
36 Fabricators, assemblers, inspectors, samplers 5: Black 1,541 336,777 27.80 1.21 26.92 1.53 34.08 1.48 9.77 0.88 1.43 0.32
36 Fabricators, assemblers, inspectors, samplers 6: Other 437 111,951 29.93 2.58 24.93 2.56 35.22 2.60 8.53 1.42 1.40 0.60
36 Fabricators, assemblers, inspectors, samplers 7: Hispanic 1,197 298,407 29.89 1.59 28.42 1.53 31.93 1.59 8.56 0.93 1.20 0.39
36 Fabricators, assemblers, inspectors, samplers 8: NonHispanic 9,115 2,268,557 32.25 0.58 30.98 0.59 28.56 0.53 7.10 0.31 1.11 0.14
37 Motor vehicle operators 1: Total 14,053 3,529,824 35.93 0.48 30.19 0.43 26.15 0.42 6.51 0.21 1.22 0.12
37 Motor vehicle operators 2: Male 12,448 3,147,698 36.58 0.51 30.34 0.47 25.57 0.45 6.30 0.22 1.22 0.12
37 Motor vehicle operators 3: Female 1,605 382,126 30.54 1.18 29.02 1.10 30.91 1.19 8.25 0.71 1.28 0.34
37 Motor vehicle operators 4: White 11,318 2,907,359 36.18 0.50 31.05 0.49 25.68 0.45 5.90 0.22 1.19 0.12
37 Motor vehicle operators 5: Black 2,421 536,222 34.55 1.28 26.08 0.98 28.28 1.05 9.80 0.66 1.29 0.30
37 Motor vehicle operators 6: Other 314 86,243 35.93 3.62 26.90 2.98 28.75 2.41 6.46 1.62 1.96 0.79
37 Motor vehicle operators 7: Hispanic 1,051 276,992 35.27 1.68 25.57 1.67 29.88 1.77 7.34 0.90 1.94 0.65
37 Motor vehicle operators 8: NonHispanic 13,002 3,252,832 35.98 0.50 30.59 0.45 25.83 0.42 6.44 0.22 1.16 0.11
38 Other transportation, except motor vehicles 1: Total 668 176,360 39.59 2.13 32.55 1.70 24.01 1.67 3.05 0.67 0.80 0.41
38 Other transportation, except motor vehicles 2: Male 645 170,736 39.37 2.13 33.12 1.78 24.30 1.68 2.64 0.64 0.57 0.34
38 Other transportation, except motor vehicles 3: Female 23 5,625 46.25 11.12 15.21 7.18 15.15 7.21 15.47 8.71 7.92 7.69
38 Other transportation, except motor vehicles 4: White 598 160,282 40.29 2.21 33.09 1.79 23.12 1.65 2.89 0.68 0.60 0.37
38 Other transportation, except motor vehicles 5: Black 63 13,492 28.43 6.42 28.99 5.75 33.67 7.65 5.58 3.51 3.32 3.29
38 Other transportation, except motor vehicles 6: Other 7 2,587 53.77 21.40 17.40 13.19 28.83 17.99 0.00 0.00 0.00 0.00
38 Other transportation, except motor vehicles 7: Hispanic 21 6,341 45.04 9.36 35.87 8.85 19.09 10.42 0.00 0.00 0.00 0.00
38 Other transportation, except motor vehicles 8: NonHispanic 647 170,020 39.38 2.17 32.42 1.72 24.19 1.64 3.17 0.69 0.83 0.43
39 Material moving equipment operators 1: Total 4,326 1,094,233 35.58 0.81 29.63 0.74 27.30 0.70 6.34 0.39 1.15 0.16
39 Material moving equipment operators 2: Male 4,084 1,035,934 35.74 0.81 29.43 0.75 27.15 0.71 6.46 0.41 1.21 0.17
39 Material moving equipment operators 3: Female 242 58,299 32.76 3.52 33.12 3.19 29.92 2.97 4.21 1.26 0.00 0.00
39 Material moving equipment operators 4: White 3,575 919,315 36.91 0.89 30.49 0.79 25.79 0.73 5.65 0.43 1.16 0.18
39 Material moving equipment operators 5: Black 663 152,242 28.20 1.78 25.50 2.14 35.61 2.06 10.02 1.23 0.67 0.33
39 Material moving equipment operators 6: Other 88 22,676 31.05 4.26 22.21 4.63 33.26 4.86 9.79 2.88 3.69 1.94
39 Material moving equipment operators 7: Hispanic 352 88,147 33.18 2.93 29.53 2.74 29.24 2.60 7.27 1.46 0.79 0.45
39 Material moving equipment operators 8: NonHispanic 3,974 1,006,086 35.79 0.84 29.64 0.78 27.13 0.72 6.26 0.41 1.18 0.17
40 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
40 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
40 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
40 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
40 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
40 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
40 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
40 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
41 Freight, stock, material handlers 1: Total 13,517 3,410,507 35.60 0.48 30.27 0.59 26.83 0.48 6.45 0.23 0.86 0.09
41 Freight, stock, material handlers 2: Male 10,246 2,627,018 37.74 0.55 30.15 0.60 25.62 0.49 5.77 0.25 0.73 0.10
41 Freight, stock, material handlers 3: Female 3,271 783,489 28.41 0.88 30.68 1.09 30.90 0.93 8.71 0.56 1.30 0.21
41 Freight, stock, material handlers 4: White 10,550 2,733,823 36.64 0.58 31.43 0.64 25.47 0.51 5.69 0.25 0.77 0.08
41 Freight, stock, material handlers 5: Black 2,561 564,450 30.57 1.16 25.42 1.04 32.72 1.32 10.03 0.73 1.26 0.32
41 Freight, stock, material handlers 6: Other 406 112,233 35.39 3.12 26.50 2.76 30.37 3.12 6.85 1.59 0.89 0.45
41 Freight, stock, material handlers 7: Hispanic 1,469 379,154 32.78 1.46 28.36 1.53 29.77 1.65 7.99 0.89 1.10 0.27
41 Freight, stock, material handlers 8: NonHispanic 12,048 3,031,353 35.95 0.53 30.51 0.60 26.46 0.49 6.25 0.24 0.83 0.09