Table 5. Average Number of Bed Days (> 1) in the past 2 weeks by 41 Occupations 
Acute Disability
  Occupation 41 Classes Group Sample Size Population Estimates Estimated Prevalence of  0 Bed Days in Prior 2 Weeks Average # days among participants having at least 1 Bed Day in Prior 2 Weeks Standard Error of Average # Bed Days X+SE
1 Officials and administrators public admin 1: Total 2,157 542,174 95.45 2.62 0.27 2.62±0.26
1 Officials and administrators public admin 2: Male 1,212 315,909 96.62 3.12 0.49 3.12±0.49
1 Officials and administrators public admin 3: Female 945 226,264 93.81 2.24 0.28 2.24±0.28
1 Officials and administrators public admin 4: White 1,861 472,920 95.23 2.55 0.24 2.55±0.24
1 Officials and administrators public admin 5: Black 225 49,487 96.53 3.56 1.69 3.56±1.69
1 Officials and administrators public admin 6: Other 71 19,766 97.91 2.58 1.06 2.58±1.06
1 Officials and administrators public admin 7: Hispanic 92 23,438 93.65 1.54 0.21 1.54±0.21
1 Officials and administrators public admin 8: NonHispanic 2,065 518,736 95.53 2.69 0.29 2.69±0.29
2 Managers administrators, except public administration 1: Total 44,320 11,337,987 95.80 2.67 0.07 2.67±0.07
2 Managers administrators, except public administration 2: Male 27,924 7,260,207 96.88 2.70 0.12 2.70±0.12
2 Managers administrators, except public administration 3: Female 16,396 4,077,780 93.89 2.64 0.10 2.64±0.10
2 Managers administrators, except public administration 4: White 40,233 10,358,556 95.82 2.62 0.07 2.62±0.07
2 Managers administrators, except public administration 5: Black 2,760 630,687 95.55 3.36 0.26 3.36±0.26
2 Managers administrators, except public administration 6: Other 1,327 348,745 95.87 2.81 0.58 2.81±0.58
2 Managers administrators, except public administration 7: Hispanic 2,061 537,742 95.66 3.01 0.33 3.01±0.33
2 Managers administrators, except public administration 8: NonHispanic 42,259 10,800,245 95.81 2.65 0.08 2.65±0.08
3 Management related occs 1: Total 15,574 3,975,190 95.11 2.57 0.11 2.57±0.11
3 Management related occs 2: Male 7,267 1,909,843 96.43 2.37 0.16 2.37±0.16
3 Management related occs 3: Female 8,307 2,065,347 93.88 2.67 0.15 2.67±0.15
3 Management related occs 4: White 13,613 3,508,911 95.07 2.49 0.12 2.49±0.12
3 Management related occs 5: Black 1,342 302,468 95.14 3.37 0.41 3.37±0.41
3 Management related occs 6: Other 619 163,811 95.80 2.75 0.69 2.75±0.69
3 Management related occs 7: Hispanic 795 208,368 93.85 3.43 0.66 3.43±0.66
3 Management related occs 8: NonHispanic 14,779 3,766,822 95.18 2.51 0.12 2.51±0.12
4 Engineers 1: Total 7,700 2,009,300 96.67 2.49 0.20 2.49±0.20
4 Engineers 2: Male 7,054 1,848,533 96.88 2.53 0.22 2.53±0.22
4 Engineers 3: Female 646 160,767 94.24 2.23 0.36 2.23±0.36
4 Engineers 4: White 6,831 1,780,112 96.70 2.21 0.16 2.21±0.16
4 Engineers 5: Black 324 85,626 94.59 6.34 1.10 6.34±1.10
4 Engineers 6: Other 545 143,563 97.55 2.15 0.48 2.15±0.48
4 Engineers 7: Hispanic 272 72,090 97.28 3.73 1.95 3.73±1.95
4 Engineers 8: NonHispanic 7,428 1,937,210 96.65 2.45 0.18 2.45±0.18
5 Architects and surveyors 1: Total 778 201,731 94.55 2.55 0.42 2.55±0.42
5 Architects and surveyors 2: Male 678 177,084 94.83 2.65 0.50 2.65±0.50
5 Architects and surveyors 3: Female 100 24,647 92.50 2.02 0.32 2.02±0.32
5 Architects and surveyors 4: White 717 186,076 94.97 2.06 0.26 2.06±0.26
5 Architects and surveyors 5: Black 27 7,204 95.47 14.00 0.00 14.00±0.00
5 Architects and surveyors 6: Other 34 8,451 84.43 3.15 0.95 3.15±0.95
5 Architects and surveyors 7: Hispanic 55 13,983 96.79 2.64 1.05 2.64±1.05
5 Architects and surveyors 8: NonHispanic 723 187,748 94.38 2.54 0.43 2.54±0.43
6 Natural mathematical/computer scientists 1: Total 5,115 1,330,325 94.86 2.09 0.12 2.09±0.12
6 Natural mathematical/computer scientists 2: Male 3,433 907,823 95.96 2.26 0.18 2.26±0.18
6 Natural mathematical/computer scientists 3: Female 1,682 422,502 92.49 1.88 0.13 1.88±0.13
6 Natural mathematical/computer scientists 4: White 4,421 1,154,319 95.13 2.16 0.14 2.16±0.14
6 Natural mathematical/computer scientists 5: Black 342 84,541 91.98 1.81 0.28 1.81±0.28
6 Natural mathematical/computer scientists 6: Other 352 91,465 94.04 1.61 0.18 1.61±0.18
6 Natural mathematical/computer scientists 7: Hispanic 182 48,104 92.88 2.51 0.60 2.51±0.60
6 Natural mathematical/computer scientists 8: NonHispanic 4,933 1,282,221 94.93 2.06 0.12 2.06±0.12
7 Health diagnosing occs 1: Total 3,249 829,443 97.74 2.81 0.34 2.81±0.34
7 Health diagnosing occs 2: Male 2,598 668,142 98.21 2.76 0.41 2.76±0.41
7 Health diagnosing occs 3: Female 651 161,301 95.76 2.91 0.68 2.91±0.68
7 Health diagnosing occs 4: White 2,839 724,399 97.69 2.79 0.39 2.79±0.39
7 Health diagnosing occs 5: Black 130 31,964 97.16 1.40 0.24 1.40±0.24
7 Health diagnosing occs 6: Other 280 73,080 98.48 4.38 1.03 4.38±1.03
7 Health diagnosing occs 7: Hispanic 153 41,633 96.15 2.16 0.58 2.16±0.58
7 Health diagnosing occs 8: NonHispanic 3,096 787,809 97.82 2.88 0.37 2.88±0.37
8 Health assessment/treating occs 1: Total 9,988 2,482,299 94.21 2.59 0.12 2.59±0.12
8 Health assessment/treating occs 2: Male 1,217 316,435 95.13 2.33 0.26 2.33±0.26
8 Health assessment/treating occs 3: Female 8,771 2,165,864 94.08 2.62 0.13 2.62±0.13
8 Health assessment/treating occs 4: White 8,445 2,133,040 94.29 2.52 0.13 2.52±0.13
8 Health assessment/treating occs 5: Black 1,078 230,708 92.71 3.22 0.41 3.22±0.41
8 Health assessment/treating occs 6: Other 465 118,550 95.79 2.12 0.24 2.12±0.24
8 Health assessment/treating occs 7: Hispanic 336 86,259 95.71 2.87 0.64 2.87±0.64
8 Health assessment/treating occs 8: NonHispanic 9,652 2,396,040 94.16 2.58 0.12 2.58±0.12
9 Teachers, librarians, counselors 1: Total 20,938 5,231,152 94.71 2.41 0.08 2.41±0.08
9 Teachers, librarians, counselors 2: Male 6,340 1,642,027 96.37 2.26 0.15 2.26±0.15
9 Teachers, librarians, counselors 3: Female 14,598 3,589,125 93.95 2.45 0.09 2.45±0.09
9 Teachers, librarians, counselors 4: White 18,208 4,612,706 94.65 2.34 0.08 2.34±0.08
9 Teachers, librarians, counselors 5: Black 2,136 452,612 94.73 3.26 0.36 3.26±0.36
9 Teachers, librarians, counselors 6: Other 594 165,834 96.37 1.80 0.20 1.80±0.20
9 Teachers, librarians, counselors 7: Hispanic 828 217,139 94.63 2.86 0.41 2.86±0.41
9 Teachers, librarians, counselors 8: NonHispanic 20,110 5,014,013 94.71 2.39 0.08 2.39±0.08
10 Writers, artists, entertainers, athletes 1: Total 7,538 1,971,725 94.55 2.73 0.13 2.73±0.13
10 Writers, artists, entertainers, athletes 2: Male 3,828 1,025,232 95.33 2.67 0.22 2.67±0.22
10 Writers, artists, entertainers, athletes 3: Female 3,710 946,492 93.72 2.78 0.17 2.78±0.17
10 Writers, artists, entertainers, athletes 4: White 6,879 1,799,120 94.61 2.73 0.14 2.73±0.14
10 Writers, artists, entertainers, athletes 5: Black 411 103,027 94.27 3.04 0.78 3.04±0.78
10 Writers, artists, entertainers, athletes 6: Other 248 69,577 93.42 2.51 0.66 2.51±0.66
10 Writers, artists, entertainers, athletes 7: Hispanic 359 93,668 94.18 3.74 0.83 3.74±0.83
10 Writers, artists, entertainers, athletes 8: NonHispanic 7,179 1,878,056 94.57 2.68 0.14 2.68±0.14
11 Other professional specialty occs 1: Total 8,822 2,227,360 94.81 2.74 0.16 2.74±0.16
11 Other professional specialty occs 2: Male 5,145 1,332,391 96.26 2.83 0.29 2.83±0.29
11 Other professional specialty occs 3: Female 3,677 894,969 92.66 2.68 0.16 2.68±0.16
11 Other professional specialty occs 4: White 7,627 1,952,622 94.87 2.66 0.19 2.66±0.19
11 Other professional specialty occs 5: Black 1,009 225,915 93.97 3.45 0.53 3.45±0.53
11 Other professional specialty occs 6: Other 186 48,823 96.29 1.87 0.82 1.87±0.82
11 Other professional specialty occs 7: Hispanic 388 98,301 91.83 2.39 0.45 2.39±0.45
11 Other professional specialty occs 8: NonHispanic 8,434 2,129,060 94.95 2.77 0.18 2.77±0.18
12 Health technologists/technicians 1: Total 5,558 1,357,639 93.72 2.83 0.16 2.83±0.16
12 Health technologists/technicians 2: Male 922 247,624 95.93 2.88 0.45 2.88±0.45
12 Health technologists/technicians 3: Female 4,636 1,110,015 93.23 2.82 0.17 2.82±0.17
12 Health technologists/technicians 4: White 4,331 1,091,114 93.45 2.75 0.17 2.75±0.17
12 Health technologists/technicians 5: Black 980 198,689 94.33 3.41 0.63 3.41±0.63
12 Health technologists/technicians 6: Other 247 67,836 96.29 2.51 0.85 2.51±0.85
12 Health technologists/technicians 7: Hispanic 345 89,019 94.18 2.36 0.39 2.36±0.39
12 Health technologists/technicians 8: NonHispanic 5,213 1,268,620 93.69 2.86 0.17 2.86±0.17
13 Technologists, technicians except health 1: Total 10,198 2,658,590 95.00 2.26 0.09 2.26±0.09
13 Technologists, technicians except health 2: Male 6,926 1,830,242 95.83 2.20 0.13 2.20±0.13
13 Technologists, technicians except health 3: Female 3,272 828,348 93.15 2.33 0.13 2.33±0.13
13 Technologists, technicians except health 4: White 8,778 2,305,125 94.90 2.17 0.09 2.17±0.09
13 Technologists, technicians except health 5: Black 816 191,172 95.05 3.21 0.57 3.21±0.57
13 Technologists, technicians except health 6: Other 604 162,293 96.26 2.54 0.29 2.54±0.29
13 Technologists, technicians except health 7: Hispanic 549 146,493 95.25 2.59 0.57 2.59±0.57
13 Technologists, technicians except health 8: NonHispanic 9,649 2,512,097 94.98 2.24 0.09 2.24±0.09
14 Supervisors and proprietors 1: Total 13,986 3,596,023 95.97 2.57 0.12 2.57±0.12
14 Supervisors and proprietors 2: Male 8,835 2,315,820 96.55 2.57 0.18 2.57±0.18
14 Supervisors and proprietors 3: Female 5,151 1,280,203 94.92 2.56 0.19 2.56±0.19
14 Supervisors and proprietors 4: White 12,793 3,297,445 95.93 2.56 0.13 2.56±0.13
14 Supervisors and proprietors 5: Black 706 169,165 96.36 2.84 0.40 2.84±0.40
14 Supervisors and proprietors 6: Other 487 129,414 96.61 2.31 0.50 2.31±0.50
14 Supervisors and proprietors 7: Hispanic 751 197,592 95.90 2.29 0.43 2.29±0.43
14 Supervisors and proprietors 8: NonHispanic 13,235 3,398,432 95.98 2.58 0.13 2.58±0.13
15 Sales representatives, commodities and finance 1: Total 13,918 3,603,720 95.70 2.71 0.13 2.71±0.13
15 Sales representatives, commodities and finance 2: Male 9,127 2,395,527 96.50 2.57 0.17 2.57±0.17
15 Sales representatives, commodities and finance 3: Female 4,791 1,208,194 94.13 2.88 0.17 2.88±0.17
15 Sales representatives, commodities and finance 4: White 12,985 3,373,892 95.67 2.72 0.13 2.72±0.13
15 Sales representatives, commodities and finance 5: Black 628 145,970 94.94 2.80 0.62 2.80±0.62
15 Sales representatives, commodities and finance 6: Other 305 83,858 98.31 1.18 0.16 1.18±0.16
15 Sales representatives, commodities and finance 7: Hispanic 603 155,619 93.65 2.77 0.41 2.77±0.41
15 Sales representatives, commodities and finance 8: NonHispanic 13,315 3,448,101 95.80 2.71 0.13 2.71±0.13
16 Other sales 1: Total 23,168 5,892,896 94.86 2.75 0.09 2.75±0.09
16 Other sales 2: Male 7,668 2,016,522 96.22 2.80 0.21 2.80±0.21
16 Other sales 3: Female 15,500 3,876,373 94.15 2.73 0.10 2.73±0.10
16 Other sales 4: White 19,679 5,079,311 94.84 2.70 0.10 2.70±0.10
16 Other sales 5: Black 2,619 574,014 94.46 3.05 0.22 3.05±0.22
16 Other sales 6: Other 870 239,570 96.27 3.11 0.62 3.11±0.62
16 Other sales 7: Hispanic 1,770 453,580 94.60 3.03 0.29 3.03±0.29
16 Other sales 8: NonHispanic 21,398 5,439,315 94.88 2.72 0.09 2.72±0.09
17 Computer equipment operators 1: Total 2,669 670,109 94.08 2.76 0.26 2.76±0.26
17 Computer equipment operators 2: Male 898 239,795 95.04 2.84 0.53 2.84±0.53
17 Computer equipment operators 3: Female 1,771 430,315 93.54 2.72 0.28 2.72±0.28
17 Computer equipment operators 4: White 2,134 551,272 94.46 2.54 0.26 2.54±0.26
17 Computer equipment operators 5: Black 443 94,249 92.64 3.72 0.86 3.72±0.86
17 Computer equipment operators 6: Other 92 24,588 91.05 2.77 0.66 2.77±0.66
17 Computer equipment operators 7: Hispanic 159 42,368 98.10 4.97 3.77 4.97±3.77
17 Computer equipment operators 8: NonHispanic 2,510 627,741 93.81 2.71 0.25 2.71±0.25
18 Secretaries, stenographers and typists 1: Total 17,666 4,413,986 93.88 2.52 0.09 2.52±0.09
18 Secretaries, stenographers and typists 2: Male 318 82,392 95.59 1.74 0.30 1.74±0.30
18 Secretaries, stenographers and typists 3: Female 17,348 4,331,594 93.85 2.54 0.09 2.54±0.09
18 Secretaries, stenographers and typists 4: White 15,405 3,926,331 94.06 2.52 0.10 2.52±0.10
18 Secretaries, stenographers and typists 5: Black 1,888 383,375 92.15 2.72 0.15 2.72±0.15
18 Secretaries, stenographers and typists 6: Other 373 104,279 93.33 2.01 0.40 2.01±0.40
18 Secretaries, stenographers and typists 7: Hispanic 1,053 268,104 94.71 2.40 0.32 2.40±0.32
18 Secretaries, stenographers and typists 8: NonHispanic 16,613 4,145,882 93.82 2.53 0.09 2.53±0.09
19 Financial records processing occs 1: Total 8,945 2,245,512 94.46 2.52 0.13 2.52±0.13
19 Financial records processing occs 2: Male 828 220,612 95.43 3.24 0.52 3.24±0.52
19 Financial records processing occs 3: Female 8,117 2,024,900 94.36 2.46 0.12 2.46±0.12
19 Financial records processing occs 4: White 7,968 2,018,647 94.43 2.56 0.14 2.56±0.14
19 Financial records processing occs 5: Black 664 141,277 94.70 2.15 0.26 2.15±0.26
19 Financial records processing occs 6: Other 313 85,588 94.90 2.32 0.43 2.32±0.43
19 Financial records processing occs 7: Hispanic 471 118,397 93.56 1.98 0.39 1.98±0.39
19 Financial records processing occs 8: NonHispanic 8,474 2,127,115 94.52 2.56 0.13 2.56±0.13
20 Mail and message distributing 1: Total 3,735 914,844 94.25 2.67 0.19 2.67±0.19
20 Mail and message distributing 2: Male 2,307 583,219 95.18 2.41 0.23 2.41±0.23
20 Mail and message distributing 3: Female 1,428 331,625 92.61 2.96 0.30 2.96±0.30
20 Mail and message distributing 4: White 2,729 694,766 94.71 2.54 0.21 2.54±0.21
20 Mail and message distributing 5: Black 850 178,086 93.39 3.35 0.49 3.35±0.49
20 Mail and message distributing 6: Other 156 41,992 90.40 1.82 0.20 1.82±0.20
20 Mail and message distributing 7: Hispanic 280 72,808 91.19 2.61 0.50 2.61±0.50
20 Mail and message distributing 8: NonHispanic 3,455 842,036 94.52 2.68 0.20 2.68±0.20
21 Other administrative support 1: Total 37,119 9,296,535 94.26 2.59 0.06 2.59±0.06
21 Other administrative support 2: Male 9,841 2,592,119 95.92 2.76 0.16 2.76±0.16
21 Other administrative support 3: Female 27,278 6,704,416 93.63 2.55 0.06 2.55±0.06
21 Other administrative support 4: White 30,337 7,787,826 94.26 2.53 0.07 2.53±0.07
21 Other administrative support 5: Black 5,555 1,176,476 94.36 3.00 0.19 3.00±0.19
21 Other administrative support 6: Other 1,227 332,234 94.11 2.60 0.31 2.60±0.31
21 Other administrative support 7: Hispanic 2,857 733,149 93.30 2.49 0.16 2.49±0.16
21 Other administrative support 8: NonHispanic 34,262 8,563,386 94.35 2.60 0.06 2.60±0.06
22 Private household occs 1: Total 3,324 761,954 94.90 3.60 0.31 3.60±0.31
22 Private household occs 2: Male 144 36,030 95.92 4.21 0.98 4.21±0.98
22 Private household occs 3: Female 3,180 725,924 94.85 3.58 0.33 3.58±0.33
22 Private household occs 4: White 2,092 525,115 95.06 3.45 0.35 3.45±0.35
22 Private household occs 5: Black 1,155 215,855 94.71 4.26 0.48 4.26±0.48
22 Private household occs 6: Other 77 20,984 92.74 1.15 0.15 1.15±0.15
22 Private household occs 7: Hispanic 522 128,949 96.46 2.59 0.40 2.59±0.40
22 Private household occs 8: NonHispanic 2,802 633,005 94.58 3.73 0.35 3.73±0.35
23 Police and firefighters 1: Total 4,471 1,157,796 95.34 2.73 0.15 2.73±0.15
23 Police and firefighters 2: Male 3,899 1,021,431 95.78 2.66 0.18 2.66±0.18
23 Police and firefighters 3: Female 572 136,365 92.01 3.01 0.42 3.01±0.42
23 Police and firefighters 4: White 3,722 973,160 95.43 2.64 0.17 2.64±0.17
23 Police and firefighters 5: Black 675 163,151 94.51 3.19 0.42 3.19±0.42
23 Police and firefighters 6: Other 74 21,485 97.40 2.62 0.33 2.62±0.33
23 Police and firefighters 7: Hispanic 281 74,433 97.10 2.28 0.40 2.28±0.40
23 Police and firefighters 8: NonHispanic 4,190 1,083,362 95.22 2.75 0.15 2.75±0.15
24 Other protective service occs 1: Total 3,140 793,111 95.95 3.01 0.31 3.01±0.31
24 Other protective service occs 2: Male 2,488 638,415 96.31 3.12 0.39 3.12±0.39
24 Other protective service occs 3: Female 652 154,696 94.46 2.72 0.40 2.72±0.40
24 Other protective service occs 4: White 2,251 596,080 95.80 3.26 0.37 3.26±0.37
24 Other protective service occs 5: Black 794 172,579 96.14 2.03 0.19 2.03±0.19
24 Other protective service occs 6: Other 95 24,452 98.30 4.08 1.41 4.08±1.41
24 Other protective service occs 7: Hispanic 224 57,736 97.53 2.42 0.43 2.42±0.43
24 Other protective service occs 8: NonHispanic 2,916 735,375 95.83 3.04 0.32 3.04±0.32
25 Food service 1: Total 18,097 4,570,186 94.30 2.75 0.10 2.75±0.10
25 Food service 2: Male 6,577 1,734,081 95.86 2.54 0.17 2.54±0.17
25 Food service 3: Female 11,520 2,836,105 93.35 2.83 0.12 2.83±0.12
25 Food service 4: White 14,187 3,677,566 94.10 2.75 0.11 2.75±0.11
25 Food service 5: Black 2,870 604,271 95.15 2.86 0.28 2.86±0.28
25 Food service 6: Other 1,040 288,349 95.03 2.43 0.33 2.43±0.33
25 Food service 7: Hispanic 2,080 537,477 95.21 2.96 0.32 2.96±0.32
25 Food service 8: NonHispanic 16,017 4,032,710 94.18 2.72 0.10 2.72±0.10
26 Health service 1: Total 8,508 1,986,806 92.39 2.95 0.17 2.95±0.17
26 Health service 2: Male 820 207,785 92.95 2.62 0.50 2.62±0.50
26 Health service 3: Female 7,688 1,779,022 92.33 2.99 0.17 2.99±0.17
26 Health service 4: White 5,477 1,377,005 92.18 2.72 0.20 2.72±0.20
26 Health service 5: Black 2,721 529,021 92.59 3.64 0.28 3.64±0.28
26 Health service 6: Other 310 80,780 94.73 2.56 0.85 2.56±0.85
26 Health service 7: Hispanic 632 157,020 91.98 3.14 0.36 3.14±0.36
26 Health service 8: NonHispanic 7,876 1,829,786 92.43 2.93 0.18 2.93±0.18
27 Cleaning and building service 1: Total 11,852 2,836,111 94.74 3.01 0.13 3.01±0.13
27 Cleaning and building service 2: Male 6,748 1,666,580 96.11 3.01 0.19 3.01±0.19
27 Cleaning and building service 3: Female 5,104 1,169,530 92.79 3.00 0.17 3.00±0.17
27 Cleaning and building service 4: White 8,022 2,035,113 94.62 2.87 0.14 2.87±0.14
27 Cleaning and building service 5: Black 3,368 670,658 94.86 3.45 0.29 3.45±0.29
27 Cleaning and building service 6: Other 462 130,339 96.15 2.93 0.91 2.93±0.91
27 Cleaning and building service 7: Hispanic 1,583 397,872 95.62 2.52 0.25 2.52±0.25
27 Cleaning and building service 8: NonHispanic 10,269 2,438,238 94.60 3.07 0.15 3.07±0.15
28 Personal service 1: Total 9,494 2,356,169 94.30 2.74 0.12 2.74±0.12
28 Personal service 2: Male 1,639 426,790 95.98 3.29 0.40 3.29±0.40
28 Personal service 3: Female 7,855 1,929,380 93.93 2.66 0.12 2.66±0.12
28 Personal service 4: White 7,754 1,985,097 94.49 2.59 0.13 2.59±0.13
28 Personal service 5: Black 1,408 276,853 93.97 3.69 0.41 3.69±0.41
28 Personal service 6: Other 332 94,219 91.41 2.77 0.29 2.77±0.29
28 Personal service 7: Hispanic 730 185,720 94.25 3.45 0.54 3.45±0.54
28 Personal service 8: NonHispanic 8,764 2,170,450 94.31 2.68 0.12 2.68±0.12
29 Farm operators and managers 1: Total 5,843 1,399,369 97.05 4.40 0.37 4.40±0.37
29 Farm operators and managers 2: Male 4,849 1,168,400 97.32 4.72 0.48 4.72±0.48
29 Farm operators and managers 3: Female 994 230,968 95.68 3.39 0.54 3.39±0.54
29 Farm operators and managers 4: White 5,690 1,360,005 97.09 4.34 0.39 4.34±0.39
29 Farm operators and managers 5: Black 101 26,581 97.73 5.87 3.43 5.87±3.43
29 Farm operators and managers 6: Other 52 12,783 91.22 5.72 2.04 5.72±2.04
29 Farm operators and managers 7: Hispanic 166 42,237 95.90 3.94 1.10 3.94±1.10
29 Farm operators and managers 8: NonHispanic 5,677 1,357,132 97.08 4.42 0.39 4.42±0.39
30 Farm workers and other agricultural workers 1: Total 6,463 1,616,443 96.65 3.51 0.30 3.51±0.30
30 Farm workers and other agricultural workers 2: Male 5,271 1,322,851 96.82 3.60 0.35 3.60±0.35
30 Farm workers and other agricultural workers 3: Female 1,192 293,592 95.87 3.20 0.45 3.20±0.45
30 Farm workers and other agricultural workers 4: White 5,625 1,421,858 96.84 3.21 0.27 3.21±0.27
30 Farm workers and other agricultural workers 5: Black 698 158,075 95.07 4.36 0.92 4.36±0.92
30 Farm workers and other agricultural workers 6: Other 140 36,510 96.35 8.52 2.35 8.52±2.35
30 Farm workers and other agricultural workers 7: Hispanic 1,489 373,069 98.43 3.50 0.96 3.50±0.96
30 Farm workers and other agricultural workers 8: NonHispanic 4,974 1,243,374 96.12 3.51 0.30 3.51±0.30
31 Forestry and fishing occs 1: Total 736 199,857 96.35 3.21 0.63 3.21±0.63
31 Forestry and fishing occs 2: Male 704 191,542 96.43 3.36 0.66 3.36±0.66
31 Forestry and fishing occs 3: Female 32 8,315 94.41 1.00 0.00 1.00±0.00
31 Forestry and fishing occs 4: White 620 170,245 96.45 2.39 0.34 2.39±0.34
31 Forestry and fishing occs 5: Black 98 23,999 95.61 6.57 0.74 6.57±0.74
31 Forestry and fishing occs 6: Other 18 5,614 96.38 10.00 0.00 10.00±0.00
31 Forestry and fishing occs 7: Hispanic 25 6,092 100.00      
31 Forestry and fishing occs 8: NonHispanic 711 193,766 96.23 3.21 0.63 3.21±0.63
32 Mechanics and repairers 1: Total 16,258 4,203,192 95.76 2.70 0.12 2.70±0.12
32 Mechanics and repairers 2: Male 15,585 4,037,571 95.85 2.66 0.12 2.66±0.12
32 Mechanics and repairers 3: Female 673 165,622 93.60 3.40 0.42 3.40±0.42
32 Mechanics and repairers 4: White 14,399 3,756,127 95.73 2.69 0.13 2.69±0.13
32 Mechanics and repairers 5: Black 1,459 334,805 96.42 2.42 0.28 2.42±0.28
32 Mechanics and repairers 6: Other 400 112,260 94.92 3.61 0.76 3.61±0.76
32 Mechanics and repairers 7: Hispanic 1,190 312,662 95.13 3.19 0.48 3.19±0.48
32 Mechanics and repairers 8: NonHispanic 15,068 3,890,530 95.81 2.65 0.11 2.65±0.11
33 Construction and extractive trades 1: Total 19,111 4,960,923 96.11 3.04 0.13 3.04±0.13
33 Construction and extractive trades 2: Male 18,665 4,852,370 96.14 3.03 0.13 3.03±0.13
33 Construction and extractive trades 3: Female 446 108,553 94.67 3.43 0.92 3.43±0.92
33 Construction and extractive trades 4: White 17,140 4,502,359 96.01 2.95 0.13 2.95±0.13
33 Construction and extractive trades 5: Black 1,589 350,909 97.35 4.68 0.62 4.68±0.62
33 Construction and extractive trades 6: Other 382 107,655 96.08 3.11 0.94 3.11±0.94
33 Construction and extractive trades 7: Hispanic 1,717 451,211 96.72 3.45 0.57 3.45±0.57
33 Construction and extractive trades 8: NonHispanic 17,394 4,509,712 96.04 3.01 0.13 3.01±0.13
34 Precision production occs 1: Total 14,874 3,766,588 95.89 3.02 0.14 3.02±0.14
34 Precision production occs 2: Male 11,282 2,894,734 96.19 3.03 0.19 3.03±0.19
34 Precision production occs 3: Female 3,592 871,854 94.91 2.99 0.26 2.99±0.26
34 Precision production occs 4: White 12,844 3,299,504 95.99 2.97 0.15 2.97±0.15
34 Precision production occs 5: Black 1,435 310,343 94.48 3.43 0.40 3.43±0.40
34 Precision production occs 6: Other 595 156,740 96.56 2.76 0.77 2.76±0.77
34 Precision production occs 7: Hispanic 1,326 343,542 96.52 3.90 0.71 3.90±0.71
34 Precision production occs 8: NonHispanic 13,548 3,423,046 95.83 2.94 0.15 2.94±0.15
35 Machine operators/tenderers, except precision 1: Total 21,002 5,221,401 95.53 2.93 0.11 2.93±0.11
35 Machine operators/tenderers, except precision 2: Male 12,267 3,134,398 96.16 2.91 0.15 2.91±0.15
35 Machine operators/tenderers, except precision 3: Female 8,735 2,087,003 94.59 2.95 0.15 2.95±0.15
35 Machine operators/tenderers, except precision 4: White 16,448 4,210,362 95.45 2.79 0.12 2.79±0.12
35 Machine operators/tenderers, except precision 5: Black 3,729 794,809 95.55 3.55 0.26 3.55±0.26
35 Machine operators/tenderers, except precision 6: Other 825 216,230 97.03 3.69 0.83 3.69±0.83
35 Machine operators/tenderers, except precision 7: Hispanic 2,637 660,521 96.86 2.44 0.25 2.44±0.25
35 Machine operators/tenderers, except precision 8: NonHispanic 18,365 4,560,880 95.34 2.98 0.12 2.98±0.12
36 Fabricators, assemblers, inspectors, samplers 1: Total 10,312 2,566,964 94.73 2.82 0.14 2.82±0.14
36 Fabricators, assemblers, inspectors, samplers 2: Male 6,209 1,581,326 95.31 2.70 0.17 2.70±0.17
36 Fabricators, assemblers, inspectors, samplers 3: Female 4,103 985,638 93.80 2.96 0.22 2.96±0.22
36 Fabricators, assemblers, inspectors, samplers 4: White 8,334 2,118,235 94.86 2.78 0.15 2.78±0.15
36 Fabricators, assemblers, inspectors, samplers 5: Black 1,541 336,777 93.77 3.07 0.39 3.07±0.39
36 Fabricators, assemblers, inspectors, samplers 6: Other 437 111,951 95.09 2.48 0.57 2.48±0.57
36 Fabricators, assemblers, inspectors, samplers 7: Hispanic 1,197 298,407 95.88 3.19 0.58 3.19±0.58
36 Fabricators, assemblers, inspectors, samplers 8: NonHispanic 9,115 2,268,557 94.58 2.78 0.15 2.78±0.15
37 Motor vehicle operators 1: Total 14,053 3,529,824 96.31 3.25 0.15 3.25±0.15
37 Motor vehicle operators 2: Male 12,448 3,147,698 96.60 3.28 0.18 3.28±0.18
37 Motor vehicle operators 3: Female 1,605 382,126 93.85 3.15 0.23 3.15±0.23
37 Motor vehicle operators 4: White 11,318 2,907,359 96.42 3.26 0.18 3.26±0.18
37 Motor vehicle operators 5: Black 2,421 536,222 95.39 3.24 0.26 3.24±0.26
37 Motor vehicle operators 6: Other 314 86,243 98.24 3.01 0.83 3.01±0.83
37 Motor vehicle operators 7: Hispanic 1,051 276,992 95.48 3.49 0.57 3.49±0.57
37 Motor vehicle operators 8: NonHispanic 13,002 3,252,832 96.38 3.23 0.16 3.23±0.16
38 Other transportation, except motor vehicles 1: Total 668 176,360 96.22 3.89 0.77 3.89±0.77
38 Other transportation, except motor vehicles 2: Male 645 170,736 96.10 3.89 0.77 3.89±0.77
38 Other transportation, except motor vehicles 3: Female 23 5,625 100.00 .     
38 Other transportation, except motor vehicles 4: White 598 160,282 96.22 4.08 0.83 4.08±0.83
38 Other transportation, except motor vehicles 5: Black 63 13,492 95.56 2.00 0.00 2.00±0.00
38 Other transportation, except motor vehicles 6: Other 7 2,587 100.00 .     
38 Other transportation, except motor vehicles 7: Hispanic 21 6,341 96.43 1.00 0.00 1.00±0.00
38 Other transportation, except motor vehicles 8: NonHispanic 647 170,020 96.22 4.00 0.80 4.00±0.80
39 Material moving equipment operators 1: Total 4,326 1,094,233 96.00 3.41 0.30 3.41±0.30
39 Material moving equipment operators 2: Male 4,084 1,035,934 96.08 3.29 0.27 3.29±0.27
39 Material moving equipment operators 3: Female 242 58,299 94.71 5.00 1.58 5.00±1.58
39 Material moving equipment operators 4: White 3,575 919,315 96.17 3.54 0.36 3.54±0.36
39 Material moving equipment operators 5: Black 663 152,242 94.97 3.01 0.48 3.01±0.48
39 Material moving equipment operators 6: Other 88 22,676 96.37 1.77 0.41 1.77±0.41
39 Material moving equipment operators 7: Hispanic 352 88,147 94.29 3.94 0.68 3.94±0.68
39 Material moving equipment operators 8: NonHispanic 3,974 1,006,086 96.15 3.34 0.32 3.34±0.32
40 Construction laborers 1: Total 2,707 697,191 96.84 3.50 0.41 3.50±0.41
40 Construction laborers 2: Male 2,625 676,315 96.87 3.53 0.43 3.53±0.43
40 Construction laborers 3: Female 82 20,877 95.84 2.69 0.66 2.69±0.66
40 Construction laborers 4: White 2,216 585,900 96.83 3.46 0.48 3.46±0.48
40 Construction laborers 5: Black 440 97,045 96.88 3.48 0.78 3.48±0.78
40 Construction laborers 6: Other 51 14,246 96.93 5.00 0.00 5.00±0.00
40 Construction laborers 7: Hispanic 427 111,458 97.61 2.25 0.48 2.25±0.48
40 Construction laborers 8: NonHispanic 2,280 585,733 96.69 3.67 0.45 3.67±0.45
41 Freight, stock, material handlers 1: Total 13,517 3,410,507 95.72 2.61 0.11 2.61±0.11
41 Freight, stock, material handlers 2: Male 10,246 2,627,018 96.06 2.58 0.14 2.58±0.14
41 Freight, stock, material handlers 3: Female 3,271 783,489 94.56 2.70 0.21 2.70±0.21
41 Freight, stock, material handlers 4: White 10,550 2,733,823 95.59 2.56 0.12 2.56±0.12
41 Freight, stock, material handlers 5: Black 2,561 564,450 96.12 2.98 0.30 2.98±0.30
41 Freight, stock, material handlers 6: Other 406 112,233 96.96 2.19 0.31 2.19±0.31
41 Freight, stock, material handlers 7: Hispanic 1,469 379,154 95.79 2.82 0.36 2.82±0.36
41 Freight, stock, material handlers 8: NonHispanic 12,048 3,031,353 95.71 2.59 0.11 2.59±0.11