Table 7. Average Number of Doctor Visits (≥ 4) in the past 12 months by 41 Occupations 
Chronic Disability
  Occupation 41 Classes Group Sample Size Population Estimates Estimated Prevalence of 0-3 Doctor Visits in Prior 12 months Average # of visits/year among participants having 4 or more Doctor Visits in Prior 12 months Standard Error of Average # Work Days X+SE
1 Officials and administrators public admin 1: Total 2,157 542,174 70.68 12.28 1.07 12.28±1.07
1 Officials and administrators public admin 2: Male 1,212 315,909 76.15 9.75 0.77 9.75±0.77
1 Officials and administrators public admin 3: Female 945 226,264 63.06 14.56 2.04 14.56±2.04
1 Officials and administrators public admin 4: White 1,861 472,920 70.36 12.79 1.19 12.79±1.19
1 Officials and administrators public admin 5: Black 225 49,487 71.74 7.77 1.12 7.77±1.12
1 Officials and administrators public admin 6: Other 71 19,766 75.69 10.69 2.29 10.69±2.29
1 Officials and administrators public admin 7: Hispanic 92 23,438 60.43 10.75 1.49 10.75±1.49
1 Officials and administrators public admin 8: NonHispanic 2,065 518,736 71.14 12.37 1.14 12.37±1.14
2 Managers administrators, except public administration 1: Total 44,320 11,337,987 77.89 11.00 0.17 11.00±0.17
2 Managers administrators, except public administration 2: Male 27,924 7,260,207 82.83 10.38 0.24 10.38±0.24
2 Managers administrators, except public administration 3: Female 16,396 4,077,780 69.11 11.62 0.24 11.62±0.24
2 Managers administrators, except public administration 4: White 40,233 10,358,556 77.54 11.09 0.18 11.09±0.18
2 Managers administrators, except public administration 5: Black 2,760 630,687 79.82 10.59 0.68 10.59±0.68
2 Managers administrators, except public administration 6: Other 1,327 348,745 84.99 8.07 0.41 8.07±0.41
2 Managers administrators, except public administration 7: Hispanic 2,061 537,742 81.96 12.07 1.21 12.07±1.21
2 Managers administrators, except public administration 8: NonHispanic 42,259 10,800,245 77.69 10.96 0.18 10.96±0.18
3 Management related occs 1: Total 15,574 3,975,190 73.88 11.01 0.25 11.01±0.25
3 Management related occs 2: Male 7,267 1,909,843 80.56 9.93 0.35 9.93±0.35
3 Management related occs 3: Female 8,307 2,065,347 67.71 11.61 0.33 11.61±0.33
3 Management related occs 4: White 13,613 3,508,911 73.62 11.06 0.25 11.06±0.25
3 Management related occs 5: Black 1,342 302,468 74.01 11.29 1.39 11.29±1.39
3 Management related occs 6: Other 619 163,811 79.06 9.04 0.77 9.04±0.77
3 Management related occs 7: Hispanic 795 208,368 76.89 11.79 1.31 11.79±1.31
3 Management related occs 8: NonHispanic 14,779 3,766,822 73.71 10.97 0.25 10.97±0.25
4 Engineers 1: Total 7,700 2,009,300 80.85 10.23 0.35 10.23±0.35
4 Engineers 2: Male 7,054 1,848,533 82.31 10.06 0.37 10.06±0.37
4 Engineers 3: Female 646 160,767 64.13 11.25 1.04 11.25±1.04
4 Engineers 4: White 6,831 1,780,112 80.64 10.32 0.37 10.32±0.37
4 Engineers 5: Black 324 85,626 78.95 10.02 1.54 10.02±1.54
4 Engineers 6: Other 545 143,563 84.59 9.13 0.68 9.13±0.68
4 Engineers 7: Hispanic 272 72,090 79.67 8.61 1.03 8.61±1.03
4 Engineers 8: NonHispanic 7,428 1,937,210 80.90 10.30 0.35 10.30±0.35
5 Architects and surveyors 1: Total 778 201,731 82.52 11.39 1.78 11.39±1.78
5 Architects and surveyors 2: Male 678 177,084 85.23 10.41 1.77 10.41±1.77
5 Architects and surveyors 3: Female 100 24,647 63.06 14.19 4.31 14.19±4.31
5 Architects and surveyors 4: White 717 186,076 82.40 11.64 1.93 11.64±1.93
5 Architects and surveyors 5: Black 27 7,204 84.40 9.23 3.28 9.23±3.28
5 Architects and surveyors 6: Other 34 8,451 83.50 7.34 2.42 7.34±2.42
5 Architects and surveyors 7: Hispanic 55 13,983 75.59 8.81 3.21 8.81±3.21
5 Architects and surveyors 8: NonHispanic 723 187,748 83.02 11.66 1.94 11.66±1.94
6 Natural mathematical/computer scientists 1: Total 5,115 1,330,325 76.12 11.15 0.45 11.15±0.45
6 Natural mathematical/computer scientists 2: Male 3,433 907,823 81.01 11.28 0.71 11.28±0.71
6 Natural mathematical/computer scientists 3: Female 1,682 422,502 65.60 11.00 0.55 11.00±0.55
6 Natural mathematical/computer scientists 4: White 4,421 1,154,319 75.72 11.19 0.51 11.19±0.51
6 Natural mathematical/computer scientists 5: Black 342 84,541 75.27 11.00 1.87 11.00±1.87
6 Natural mathematical/computer scientists 6: Other 352 91,465 81.93 10.60 1.15 10.60±1.15
6 Natural mathematical/computer scientists 7: Hispanic 182 48,104 75.19 13.67 2.53 13.67±2.53
6 Natural mathematical/computer scientists 8: NonHispanic 4,933 1,282,221 76.15 11.05 0.45 11.05±0.45
7 Health diagnosing occs 1: Total 3,249 829,443 85.93 14.85 1.42 14.85±1.42
7 Health diagnosing occs 2: Male 2,598 668,142 88.30 12.89 1.53 12.89±1.53
7 Health diagnosing occs 3: Female 651 161,301 76.14 18.82 3.46 18.82±3.46
7 Health diagnosing occs 4: White 2,839 724,399 85.26 15.08 1.60 15.08±1.60
7 Health diagnosing occs 5: Black 130 31,964 88.92 11.19 3.17 11.19±3.17
7 Health diagnosing occs 6: Other 280 73,080 91.23 13.09 2.82 13.09±2.82
7 Health diagnosing occs 7: Hispanic 153 41,633 86.85 18.09 8.08 18.09±8.08
7 Health diagnosing occs 8: NonHispanic 3,096 787,809 85.88 14.69 1.38 14.69±1.38
8 Health assessment/treating occs 1: Total 9,988 2,482,299 71.67 10.46 0.25 10.46±0.25
8 Health assessment/treating occs 2: Male 1,217 316,435 85.55 8.98 0.55 8.98±0.55
8 Health assessment/treating occs 3: Female 8,771 2,165,864 69.64 10.57 0.27 10.57±0.27
8 Health assessment/treating occs 4: White 8,445 2,133,040 70.86 10.60 0.27 10.60±0.27
8 Health assessment/treating occs 5: Black 1,078 230,708 74.67 9.13 0.71 9.13±0.71
8 Health assessment/treating occs 6: Other 465 118,550 80.43 10.01 0.88 10.01±0.88
8 Health assessment/treating occs 7: Hispanic 336 86,259 73.73 12.17 2.45 12.17±2.45
8 Health assessment/treating occs 8: NonHispanic 9,652 2,396,040 71.59 10.41 0.25 10.41±0.25
9 Teachers, librarians, counselors 1: Total 20,938 5,231,152 70.14 10.74 0.20 10.74±0.20
9 Teachers, librarians, counselors 2: Male 6,340 1,642,027 78.29 10.39 0.41 10.39±0.41
9 Teachers, librarians, counselors 3: Female 14,598 3,589,125 66.41 10.84 0.22 10.84±0.22
9 Teachers, librarians, counselors 4: White 18,208 4,612,706 69.52 10.80 0.22 10.80±0.22
9 Teachers, librarians, counselors 5: Black 2,136 452,612 74.19 9.62 0.45 9.62±0.45
9 Teachers, librarians, counselors 6: Other 594 165,834 76.48 11.75 1.34 11.75±1.34
9 Teachers, librarians, counselors 7: Hispanic 828 217,139 69.04 11.40 0.87 11.40±0.87
9 Teachers, librarians, counselors 8: NonHispanic 20,110 5,014,013 70.19 10.71 0.19 10.71±0.19
10 Writers, artists, entertainers, athletes 1: Total 7,538 1,971,725 72.89 12.09 0.42 12.09±0.42
10 Writers, artists, entertainers, athletes 2: Male 3,828 1,025,232 80.67 12.80 0.81 12.80±0.81
10 Writers, artists, entertainers, athletes 3: Female 3,710 946,492 64.48 11.67 0.43 11.67±0.43
10 Writers, artists, entertainers, athletes 4: White 6,879 1,799,120 72.12 12.14 0.42 12.14±0.42
10 Writers, artists, entertainers, athletes 5: Black 411 103,027 79.63 12.77 2.58 12.77±2.58
10 Writers, artists, entertainers, athletes 6: Other 248 69,577 83.17 8.74 1.64 8.74±1.64
10 Writers, artists, entertainers, athletes 7: Hispanic 359 93,668 78.66 11.91 1.75 11.91±1.75
10 Writers, artists, entertainers, athletes 8: NonHispanic 7,179 1,878,056 72.61 12.09 0.43 12.09±0.43
11 Other professional specialty occs 1: Total 8,822 2,227,360 71.37 10.90 0.30 10.90±0.30
11 Other professional specialty occs 2: Male 5,145 1,332,391 77.25 10.12 0.43 10.12±0.43
11 Other professional specialty occs 3: Female 3,677 894,969 62.64 11.61 0.41 11.61±0.41
11 Other professional specialty occs 4: White 7,627 1,952,622 71.49 10.91 0.30 10.91±0.30
11 Other professional specialty occs 5: Black 1,009 225,915 70.02 11.04 1.17 11.04±1.17
11 Other professional specialty occs 6: Other 186 48,823 72.60 9.84 1.00 9.84±1.00
11 Other professional specialty occs 7: Hispanic 388 98,301 73.65 12.18 1.91 12.18±1.91
11 Other professional specialty occs 8: NonHispanic 8,434 2,129,060 71.26 10.85 0.29 10.85±0.29
12 Health technologists/technicians 1: Total 5,558 1,357,639 72.33 10.42 0.36 10.42±0.36
12 Health technologists/technicians 2: Male 922 247,624 85.92 9.07 0.67 9.07±0.67
12 Health technologists/technicians 3: Female 4,636 1,110,015 69.30 10.56 0.39 10.56±0.39
12 Health technologists/technicians 4: White 4,331 1,091,114 70.98 10.48 0.43 10.48±0.43
12 Health technologists/technicians 5: Black 980 198,689 78.12 10.27 0.83 10.27±0.83
12 Health technologists/technicians 6: Other 247 67,836 77.21 9.72 1.21 9.72±1.21
12 Health technologists/technicians 7: Hispanic 345 89,019 78.57 9.40 0.74 9.40±0.74
12 Health technologists/technicians 8: NonHispanic 5,213 1,268,620 71.90 10.47 0.38 10.47±0.38
13 Technologists, technicians except health 1: Total 10,198 2,658,590 78.13 10.88 0.40 10.88±0.40
13 Technologists, technicians except health 2: Male 6,926 1,830,242 83.36 10.51 0.56 10.51±0.56
13 Technologists, technicians except health 3: Female 3,272 828,348 66.56 11.29 0.48 11.29±0.48
13 Technologists, technicians except health 4: White 8,778 2,305,125 77.40 10.92 0.43 10.92±0.43
13 Technologists, technicians except health 5: Black 816 191,172 79.35 11.42 1.39 11.42±1.39
13 Technologists, technicians except health 6: Other 604 162,293 87.00 9.10 1.26 9.10±1.26
13 Technologists, technicians except health 7: Hispanic 549 146,493 80.58 9.83 0.81 9.83±0.81
13 Technologists, technicians except health 8: NonHispanic 9,649 2,512,097 77.98 10.94 0.41 10.94±0.41
14 Supervisors and proprietors 1: Total 13,986 3,596,023 80.67 10.92 0.32 10.92±0.32
14 Supervisors and proprietors 2: Male 8,835 2,315,820 84.87 9.56 0.33 9.56±0.33
14 Supervisors and proprietors 3: Female 5,151 1,280,203 73.06 12.30 0.57 12.30±0.57
14 Supervisors and proprietors 4: White 12,793 3,297,445 80.36 10.92 0.34 10.92±0.34
14 Supervisors and proprietors 5: Black 706 169,165 81.38 12.10 1.48 12.10±1.48
14 Supervisors and proprietors 6: Other 487 129,414 87.72 8.48 0.98 8.48±0.98
14 Supervisors and proprietors 7: Hispanic 751 197,592 86.47 11.96 1.42 11.96±1.42
14 Supervisors and proprietors 8: NonHispanic 13,235 3,398,432 80.33 10.88 0.32 10.88±0.32
15 Sales representatives, commodities and finance 1: Total 13,918 3,603,720 78.07 10.82 0.27 10.82±0.27
15 Sales representatives, commodities and finance 2: Male 9,127 2,395,527 81.83 10.59 0.39 10.59±0.39
15 Sales representatives, commodities and finance 3: Female 4,791 1,208,194 70.62 11.09 0.35 11.09±0.35
15 Sales representatives, commodities and finance 4: White 12,985 3,373,892 77.87 10.80 0.27 10.80±0.27
15 Sales representatives, commodities and finance 5: Black 628 145,970 82.50 11.50 1.66 11.50±1.66
15 Sales representatives, commodities and finance 6: Other 305 83,858 78.55 10.47 1.31 10.47±1.31
15 Sales representatives, commodities and finance 7: Hispanic 603 155,619 81.09 10.68 1.22 10.68±1.22
15 Sales representatives, commodities and finance 8: NonHispanic 13,315 3,448,101 77.94 10.82 0.27 10.82±0.27
16 Other sales 1: Total 23,168 5,892,896 77.44 10.66 0.22 10.66±0.22
16 Other sales 2: Male 7,668 2,016,522 84.98 10.49 0.39 10.49±0.39
16 Other sales 3: Female 15,500 3,876,373 73.52 10.71 0.26 10.71±0.26
16 Other sales 4: White 19,679 5,079,311 76.82 10.63 0.23 10.63±0.23
16 Other sales 5: Black 2,619 574,014 80.45 9.94 0.54 9.94±0.54
16 Other sales 6: Other 870 239,570 83.60 13.70 2.03 13.70±2.03
16 Other sales 7: Hispanic 1,770 453,580 79.45 11.23 0.93 11.23±0.93
16 Other sales 8: NonHispanic 21,398 5,439,315 77.28 10.62 0.22 10.62±0.22
17 Computer equipment operators 1: Total 2,669 670,109 75.49 10.68 0.50 10.68±0.50
17 Computer equipment operators 2: Male 898 239,795 83.36 9.70 0.74 9.70±0.74
17 Computer equipment operators 3: Female 1,771 430,315 71.10 10.99 0.63 10.99±0.63
17 Computer equipment operators 4: White 2,134 551,272 74.91 10.60 0.55 10.60±0.55
17 Computer equipment operators 5: Black 443 94,249 78.00 11.08 1.28 11.08±1.28
17 Computer equipment operators 6: Other 92 24,588 79.05 11.04 1.87 11.04±1.87
17 Computer equipment operators 7: Hispanic 159 42,368 81.67 10.75 3.10 10.75±3.10
17 Computer equipment operators 8: NonHispanic 2,510 627,741 75.08 10.67 0.52 10.67±0.52
18 Secretaries, stenographers and typists 1: Total 17,666 4,413,986 71.23 11.11 0.26 11.11±0.26
18 Secretaries, stenographers and typists 2: Male 318 82,392 77.20 11.40 1.76 11.40±1.76
18 Secretaries, stenographers and typists 3: Female 17,348 4,331,594 71.11 11.11 0.26 11.11±0.26
18 Secretaries, stenographers and typists 4: White 15,405 3,926,331 70.67 11.27 0.28 11.27±0.28
18 Secretaries, stenographers and typists 5: Black 1,888 383,375 75.69 9.95 0.70 9.95±0.70
18 Secretaries, stenographers and typists 6: Other 373 104,279 75.90 8.09 0.61 8.09±0.61
18 Secretaries, stenographers and typists 7: Hispanic 1,053 268,104 75.81 11.20 0.65 11.20±0.65
18 Secretaries, stenographers and typists 8: NonHispanic 16,613 4,145,882 70.93 11.11 0.26 11.11±0.26
19 Financial records processing occs 1: Total 8,945 2,245,512 71.45 10.94 0.28 10.94±0.28
19 Financial records processing occs 2: Male 828 220,612 80.24 10.15 0.91 10.15±0.91
19 Financial records processing occs 3: Female 8,117 2,024,900 70.49 11.00 0.29 11.00±0.29
19 Financial records processing occs 4: White 7,968 2,018,647 70.94 10.99 0.29 10.99±0.29
19 Financial records processing occs 5: Black 664 141,277 73.72 11.10 1.35 11.10±1.35
19 Financial records processing occs 6: Other 313 85,588 79.56 8.99 0.84 8.99±0.84
19 Financial records processing occs 7: Hispanic 471 118,397 74.31 11.29 1.48 11.29±1.48
19 Financial records processing occs 8: NonHispanic 8,474 2,127,115 71.29 10.92 0.30 10.92±0.30
20 Mail and message distributing 1: Total 3,735 914,844 74.25 10.62 0.44 10.62±0.44
20 Mail and message distributing 2: Male 2,307 583,219 78.18 10.70 0.68 10.70±0.68
20 Mail and message distributing 3: Female 1,428 331,625 67.34 10.52 0.55 10.52±0.55
20 Mail and message distributing 4: White 2,729 694,766 74.24 10.77 0.54 10.77±0.54
20 Mail and message distributing 5: Black 850 178,086 72.05 10.48 0.80 10.48±0.80
20 Mail and message distributing 6: Other 156 41,992 83.78 7.68 1.36 7.68±1.36
20 Mail and message distributing 7: Hispanic 280 72,808 78.19 12.69 2.93 12.69±2.93
20 Mail and message distributing 8: NonHispanic 3,455 842,036 73.91 10.47 0.44 10.47±0.44
21 Other administrative support 1: Total 37,119 9,296,535 73.22 11.22 0.21 11.22±0.21
21 Other administrative support 2: Male 9,841 2,592,119 81.67 11.31 0.45 11.31±0.45
21 Other administrative support 3: Female 27,278 6,704,416 69.95 11.20 0.21 11.20±0.21
21 Other administrative support 4: White 30,337 7,787,826 72.60 11.30 0.23 11.30±0.23
21 Other administrative support 5: Black 5,555 1,176,476 76.11 10.60 0.51 10.60±0.51
21 Other administrative support 6: Other 1,227 332,234 77.45 11.33 0.98 11.33±0.98
21 Other administrative support 7: Hispanic 2,857 733,149 75.65 10.52 0.54 10.52±0.54
21 Other administrative support 8: NonHispanic 34,262 8,563,386 73.01 11.27 0.21 11.27±0.21
22 Private household occs 1: Total 3,324 761,954 73.49 10.78 0.55 10.78±0.55
22 Private household occs 2: Male 144 36,030 88.43 8.19 1.12 8.19±1.12
22 Private household occs 3: Female 3,180 725,924 72.75 10.83 0.55 10.83±0.55
22 Private household occs 4: White 2,092 525,115 72.89 10.94 0.64 10.94±0.64
22 Private household occs 5: Black 1,155 215,855 74.01 10.47 1.18 10.47±1.18
22 Private household occs 6: Other 77 20,984 83.32 9.12 2.16 9.12±2.16
22 Private household occs 7: Hispanic 522 128,949 79.86 9.39 0.91 9.39±0.91
22 Private household occs 8: NonHispanic 2,802 633,005 72.20 10.99 0.60 10.98±0.60
23 Police and firefighters 1: Total 4,471 1,157,796 77.94 10.40 0.41 10.40±0.41
23 Police and firefighters 2: Male 3,899 1,021,431 79.30 10.37 0.44 10.37±0.44
23 Police and firefighters 3: Female 572 136,365 67.77 10.55 1.00 10.55±1.00
23 Police and firefighters 4: White 3,722 973,160 77.76 10.24 0.42 10.24±0.42
23 Police and firefighters 5: Black 675 163,151 78.75 11.30 1.42 11.30±1.42
23 Police and firefighters 6: Other 74 21,485 79.86 11.37 3.72 11.37±3.72
23 Police and firefighters 7: Hispanic 281 74,433 79.73 13.08 1.88 13.08±1.88
23 Police and firefighters 8: NonHispanic 4,190 1,083,362 77.82 10.24 0.42 10.24±0.42
24 Other protective service occs 1: Total 3,140 793,111 76.37 11.45 0.70 11.45±0.70
24 Other protective service occs 2: Male 2,488 638,415 78.05 11.67 0.90 11.67±0.90
24 Other protective service occs 3: Female 652 154,696 69.43 10.78 1.09 10.78±1.09
24 Other protective service occs 4: White 2,251 596,080 75.58 12.00 0.88 12.00±0.88
24 Other protective service occs 5: Black 794 172,579 78.75 9.92 1.19 9.92±1.19
24 Other protective service occs 6: Other 95 24,452 78.68 7.00 0.80 7.00±0.80
24 Other protective service occs 7: Hispanic 224 57,736 80.34 12.00 3.69 12.00±3.69
24 Other protective service occs 8: NonHispanic 2,916 735,375 76.06 11.41 0.72 11.41±0.72
25 Food service 1: Total 18,097 4,570,186 78.70 11.47 0.34 11.47±0.34
25 Food service 2: Male 6,577 1,734,081 88.00 12.00 0.80 12.00±0.80
25 Food service 3: Female 11,520 2,836,105 73.03 11.32 0.38 11.32±0.38
25 Food service 4: White 14,187 3,677,566 77.42 11.42 0.37 11.42±0.37
25 Food service 5: Black 2,870 604,271 83.09 11.59 1.33 11.59±1.33
25 Food service 6: Other 1,040 288,349 85.94 12.07 1.48 12.07±1.48
25 Food service 7: Hispanic 2,080 537,477 85.88 11.19 0.99 11.19±0.99
25 Food service 8: NonHispanic 16,017 4,032,710 77.75 11.49 0.36 11.49±0.36
26 Health service 1: Total 8,508 1,986,806 71.72 10.67 0.39 10.67±0.39
26 Health service 2: Male 820 207,785 81.10 8.28 0.62 8.28±0.62
26 Health service 3: Female 7,688 1,779,022 70.62 10.85 0.41 10.85±0.41
26 Health service 4: White 5,477 1,377,005 70.74 11.14 0.52 11.14±0.52
26 Health service 5: Black 2,721 529,021 74.30 9.52 0.46 9.52±0.46
26 Health service 6: Other 310 80,780 71.55 9.27 1.19 9.27±1.19
26 Health service 7: Hispanic 632 157,020 76.67 10.21 0.78 10.21±0.78
26 Health service 8: NonHispanic 7,876 1,829,786 71.29 10.70 0.42 10.70±0.42
27 Cleaning and building service 1: Total 11,852 2,836,111 78.34 10.79 0.32 10.79±0.32
27 Cleaning and building service 2: Male 6,748 1,666,580 81.57 11.08 0.56 11.08±0.56
27 Cleaning and building service 3: Female 5,104 1,169,530 73.73 10.49 0.36 10.49±0.36
27 Cleaning and building service 4: White 8,022 2,035,113 77.61 10.92 0.37 10.92±0.37
27 Cleaning and building service 5: Black 3,368 670,658 80.22 10.71 0.84 10.71±0.84
27 Cleaning and building service 6: Other 462 130,339 80.01 8.77 0.62 8.77±0.62
27 Cleaning and building service 7: Hispanic 1,583 397,872 82.26 11.32 0.90 11.32±0.90
27 Cleaning and building service 8: NonHispanic 10,269 2,438,238 77.70 10.72 0.34 10.72±0.34
28 Personal service 1: Total 9,494 2,356,169 72.36 10.83 0.44 10.83±0.44
28 Personal service 2: Male 1,639 426,790 80.64 10.45 1.03 10.45±1.03
28 Personal service 3: Female 7,855 1,929,380 70.52 10.88 0.45 10.88±0.45
28 Personal service 4: White 7,754 1,985,097 71.67 10.88 0.50 10.88±0.50
28 Personal service 5: Black 1,408 276,853 74.90 10.97 0.64 10.97±0.64
28 Personal service 6: Other 332 94,219 79.32 8.79 1.07 8.79±1.07
28 Personal service 7: Hispanic 730 185,720 74.94 11.98 2.68 11.98±2.68
28 Personal service 8: NonHispanic 8,764 2,170,450 72.13 10.74 0.33 10.74±0.33
29 Farm operators and managers 1: Total 5,843 1,399,369 80.89 8.99 0.31 8.99±0.31
29 Farm operators and managers 2: Male 4,849 1,168,400 82.16 9.02 0.37 9.02±0.37
29 Farm operators and managers 3: Female 994 230,968 74.49 8.87 0.55 8.87±0.55
29 Farm operators and managers 4: White 5,690 1,360,005 80.93 9.05 0.32 9.05±0.32
29 Farm operators and managers 5: Black 101 26,581 84.80 7.18 0.99 7.18±0.99
29 Farm operators and managers 6: Other 52 12,783 69.36 6.94 0.93 6.94±0.93
29 Farm operators and managers 7: Hispanic 166 42,237 87.72 8.12 0.62 8.12±0.62
29 Farm operators and managers 8: NonHispanic 5,677 1,357,132 80.68 9.01 0.32 9.01±0.32
30 Farm workers and other agricultural workers 1: Total 6,463 1,616,443 85.24 11.13 0.70 11.13±0.70
30 Farm workers and other agricultural workers 2: Male 5,271 1,322,851 87.33 11.53 0.96 11.53±0.96
30 Farm workers and other agricultural workers 3: Female 1,192 293,592 75.85 10.18 0.72 10.18±0.72
30 Farm workers and other agricultural workers 4: White 5,625 1,421,858 85.22 11.49 0.79 11.49±0.79
30 Farm workers and other agricultural workers 5: Black 698 158,075 86.47 8.64 1.02 8.64±1.02
30 Farm workers and other agricultural workers 6: Other 140 36,510 80.66 7.94 1.44 7.94±1.44
30 Farm workers and other agricultural workers 7: Hispanic 1,489 373,069 91.73 13.59 1.75 13.59±1.75
30 Farm workers and other agricultural workers 8: NonHispanic 4,974 1,243,374 83.29 10.76 0.73 10.76±0.73
31 Forestry and fishing occs 1: Total 736 199,857 87.51 9.45 1.76 9.45±1.76
31 Forestry and fishing occs 2: Male 704 191,542 87.76 9.31 1.83 9.31±1.83
31 Forestry and fishing occs 3: Female 32 8,315 81.69 11.62 3.67 11.62±3.67
31 Forestry and fishing occs 4: White 620 170,245 88.50 9.69 2.18 9.69±2.18
31 Forestry and fishing occs 5: Black 98 23,999 81.00 7.68 0.92 7.68±0.92
31 Forestry and fishing occs 6: Other 18 5,614 85.43 13.59 5.33 13.59±5.33
31 Forestry and fishing occs 7: Hispanic 25 6,092 88.69 10.15 3.86 10.15±3.86
31 Forestry and fishing occs 8: NonHispanic 711 193,766 87.47 9.43 1.81 9.43±1.81
32 Mechanics and repairers 1: Total 16,258 4,203,192 82.85 10.86 0.35 10.86±0.35
32 Mechanics and repairers 2: Male 15,585 4,037,571 83.41 10.62 0.34 10.62±0.34
32 Mechanics and repairers 3: Female 673 165,622 69.27 14.05 1.54 14.05±1.54
32 Mechanics and repairers 4: White 14,399 3,756,127 82.66 11.05 0.38 11.05±0.38
32 Mechanics and repairers 5: Black 1,459 334,805 84.99 7.94 0.54 7.94±0.54
32 Mechanics and repairers 6: Other 400 112,260 82.68 11.80 1.30 11.80±1.30
32 Mechanics and repairers 7: Hispanic 1,190 312,662 85.35 13.09 1.71 13.09±1.71
32 Mechanics and repairers 8: NonHispanic 15,068 3,890,530 82.65 10.71 0.33 10.71±0.33
33 Construction and extractive trades 1: Total 19,111 4,960,923 85.51 11.09 0.37 11.09±0.37
33 Construction and extractive trades 2: Male 18,665 4,852,370 85.72 10.96 0.38 10.96±0.38
33 Construction and extractive trades 3: Female 446 108,553 76.40 14.56 1.69 14.56±1.69
33 Construction and extractive trades 4: White 17,140 4,502,359 85.44 11.14 0.40 11.14±0.40
33 Construction and extractive trades 5: Black 1,589 350,909 87.08 10.98 0.95 10.98±0.95
33 Construction and extractive trades 6: Other 382 107,655 83.28 9.75 1.74 9.75±1.74
33 Construction and extractive trades 7: Hispanic 1,717 451,211 90.46 12.22 1.14 12.22±1.14
33 Construction and extractive trades 8: NonHispanic 17,394 4,509,712 85.02 11.02 0.38 11.02±0.38
34 Precision production occs 1: Total 14,874 3,766,588 80.09 10.49 0.30 10.49±0.30
34 Precision production occs 2: Male 11,282 2,894,734 82.63 10.31 0.38 10.31±0.38
34 Precision production occs 3: Female 3,592 871,854 71.68 10.87 0.52 10.87±0.52
34 Precision production occs 4: White 12,844 3,299,504 79.91 10.62 0.33 10.62±0.33
34 Precision production occs 5: Black 1,435 310,343 79.74 9.90 0.65 9.90±0.65
34 Precision production occs 6: Other 595 156,740 84.67 8.64 0.82 8.64±0.82
34 Precision production occs 7: Hispanic 1,326 343,542 83.54 10.70 1.51 10.70±1.51
34 Precision production occs 8: NonHispanic 13,548 3,423,046 79.75 10.48 0.31 10.48±0.31
35 Machine operators/tenderers, except precision 1: Total 21,002 5,221,401 79.79 10.82 0.27 10.82±0.27
35 Machine operators/tenderers, except precision 2: Male 12,267 3,134,398 84.07 11.02 0.40 11.02±0.40
35 Machine operators/tenderers, except precision 3: Female 8,735 2,087,003 73.38 10.63 0.30 10.63±0.30
35 Machine operators/tenderers, except precision 4: White 16,448 4,210,362 79.09 10.87 0.26 10.87±0.26
35 Machine operators/tenderers, except precision 5: Black 3,729 794,809 81.78 9.88 0.55 9.88±0.55
35 Machine operators/tenderers, except precision 6: Other 825 216,230 86.29 13.65 2.82 13.65±2.82
35 Machine operators/tenderers, except precision 7: Hispanic 2,637 660,521 83.78 10.77 0.68 10.77±0.68
35 Machine operators/tenderers, except precision 8: NonHispanic 18,365 4,560,880 79.22 10.82 0.29 10.82±0.29
36 Fabricators, assemblers, inspectors, samplers 1: Total 10,312 2,566,964 77.01 11.15 0.39 11.15±0.39
36 Fabricators, assemblers, inspectors, samplers 2: Male 6,209 1,581,326 82.43 10.55 0.55 10.55±0.55
36 Fabricators, assemblers, inspectors, samplers 3: Female 4,103 985,638 68.32 11.69 0.51 11.69±0.51
36 Fabricators, assemblers, inspectors, samplers 4: White 8,334 2,118,235 76.90 10.99 0.41 10.99±0.41
36 Fabricators, assemblers, inspectors, samplers 5: Black 1,541 336,777 76.82 11.93 1.29 11.93±1.29
36 Fabricators, assemblers, inspectors, samplers 6: Other 437 111,951 79.74 11.95 2.75 11.95±2.75
36 Fabricators, assemblers, inspectors, samplers 7: Hispanic 1,197 298,407 81.83 10.58 0.97 10.58±0.97
36 Fabricators, assemblers, inspectors, samplers 8: NonHispanic 9,115 2,268,557 76.38 11.21 0.43 11.21±0.43
37 Motor vehicle operators 1: Total 14,053 3,529,824 81.20 11.32 0.39 11.32±0.39
37 Motor vehicle operators 2: Male 12,448 3,147,698 82.55 11.09 0.44 11.09±0.44
37 Motor vehicle operators 3: Female 1,605 382,126 70.09 12.40 0.65 12.40±0.65
37 Motor vehicle operators 4: White 11,318 2,907,359 80.79 11.18 0.44 11.18±0.44
37 Motor vehicle operators 5: Black 2,421 536,222 83.17 12.33 1.16 12.33±1.16
37 Motor vehicle operators 6: Other 314 86,243 82.85 10.23 1.08 10.23±1.08
37 Motor vehicle operators 7: Hispanic 1,051 276,992 86.09 12.42 1.31 12.42±1.31
37 Motor vehicle operators 8: NonHispanic 13,002 3,252,832 80.79 11.25 0.40 11.25±0.40
38 Other transportation, except motor vehicles 1: Total 668 176,360 80.81 11.59 1.50 11.59±1.50
38 Other transportation, except motor vehicles 2: Male 645 170,736 81.09 11.74 1.55 11.74±1.55
38 Other transportation, except motor vehicles 3: Female 23 5,625 72.31 8.58 1.13 8.58±1.13
38 Other transportation, except motor vehicles 4: White 598 160,282 81.25 10.57 1.02 10.57±1.02
38 Other transportation, except motor vehicles 5: Black 63 13,492 71.94 19.67 8.94 19.67±8.94
38 Other transportation, except motor vehicles 6: Other 7 2,587 100.00      
38 Other transportation, except motor vehicles 7: Hispanic 21 6,341 81.41 14.15 9.99 14.15±9.99
38 Other transportation, except motor vehicles 8: NonHispanic 647 170,020 80.79 11.50 1.49 11.50±1.49
39 Material moving equipment operators 1: Total 4,326 1,094,233 83.54 11.17 0.54 11.17±0.54
39 Material moving equipment operators 2: Male 4,084 1,035,934 84.00 11.27 0.59 11.27±0.59
39 Material moving equipment operators 3: Female 242 58,299 75.25 10.02 1.12 10.02±1.12
39 Material moving equipment operators 4: White 3,575 919,315 83.32 11.52 0.61 11.52±0.61
39 Material moving equipment operators 5: Black 663 152,242 84.40 9.26 1.34 9.26±1.34
39 Material moving equipment operators 6: Other 88 22,676 86.49 8.45 1.28 8.45±1.28
39 Material moving equipment operators 7: Hispanic 352 88,147 88.32 11.36 3.27 11.36±3.27
39 Material moving equipment operators 8: NonHispanic 3,974 1,006,086 83.12 11.16 0.56 11.16±0.56
40 Construction laborers 1: Total 2,707 697,191 86.92 11.31 1.06 11.31±1.06
40 Construction laborers 2: Male 2,625 676,315 87.23 11.31 1.03 11.31±1.03
40 Construction laborers 3: Female 82 20,877 77.04 11.21 2.43 11.21±2.43
40 Construction laborers 4: White 2,216 585,900 86.71 11.50 1.25 11.50±1.25
40 Construction laborers 5: Black 440 97,045 89.41 9.51 1.17 9.51±1.17
40 Construction laborers 6: Other 51 14,246 78.66 12.54 3.27 12.54±3.27
40 Construction laborers 7: Hispanic 427 111,458 89.10 15.29 4.17 15.29±4.17
40 Construction laborers 8: NonHispanic 2,280 585,733 86.50 10.70 0.81 10.70±0.81
41 Freight, stock, material handlers 1: Total 13,517 3,410,507 82.33 10.73 0.37 10.73±0.37
41 Freight, stock, material handlers 2: Male 10,246 2,627,018 85.05 10.75 0.51 10.75±0.51
41 Freight, stock, material handlers 3: Female 3,271 783,489 73.21 10.69 0.47 10.69±0.47
41 Freight, stock, material handlers 4: White 10,550 2,733,823 81.35 10.89 0.42 10.89±0.42
41 Freight, stock, material handlers 5: Black 2,561 564,450 87.17 9.35 0.44 9.35±0.44
41 Freight, stock, material handlers 6: Other 406 112,233 81.84 11.54 1.99 11.54±1.99
41 Freight, stock, material handlers 7: Hispanic 1,469 379,154 85.99 11.96 1.14 11.96±1.14
41 Freight, stock, material handlers 8: NonHispanic 12,048 3,031,353 81.87 10.61 0.39 10.61±0.39