Table 8. Average Number of Days in Short Hospitalizations (≥ 1) in the past 12 months by 41 Occupations
Chronic Disability
  Occupation 41 Classes Group Sample Size Population Estimates Estimated Prevalence of  0 days spent in the Hospital in last 12 months Average # days/year spent in the hospital by participants who spent at least 1 day in the Hospital in last 12 months Standard Error of Average # Hospital Days X+SE
1 Officials and administrators public admin 1: Total 2,157 542,174 94.45 1.29 0.08 1.29±0.08
1 Officials and administrators public admin 2: Male 1,212 315,909 94.27 1.31 0.12 1.31±0.12
1 Officials and administrators public admin 3: Female 945 226,264 94.69 1.26 0.09 1.26±0.09
1 Officials and administrators public admin 4: White 1,861 472,920 94.12 1.30 0.08 1.30±0.08
1 Officials and administrators public admin 5: Black 225 49,487 96.65 1.20 0.19 1.20±0.19
1 Officials and administrators public admin 6: Other 71 19,766 96.81 1.00 0.00 1.00±0.00
1 Officials and administrators public admin 7: Hispanic 92 23,438 94.59 1.16 0.15 1.16±0.15
1 Officials and administrators public admin 8: NonHispanic 2,065 518,736 94.44 1.29 0.08 1.29±0.08
2 Managers administrators, except public administration 1: Total 44,320 11,337,987 95.15 1.21 0.01 1.21±0.01
2 Managers administrators, except public administration 2: Male 27,924 7,260,207 95.37 1.21 0.02 1.21±0.02
2 Managers administrators, except public administration 3: Female 16,396 4,077,780 94.75 1.20 0.02 1.20±0.02
2 Managers administrators, except public administration 4: White 40,233 10,358,556 95.08 1.21 0.01 1.21±0.01
2 Managers administrators, except public administration 5: Black 2,760 630,687 95.44 1.12 0.04 1.12±0.04
2 Managers administrators, except public administration 6: Other 1,327 348,745 96.56 1.31 0.10 1.31±0.10
2 Managers administrators, except public administration 7: Hispanic 2,061 537,742 95.98 1.15 0.04 1.15±0.04
2 Managers administrators, except public administration 8: NonHispanic 42,259 10,800,245 95.11 1.21 0.01 1.21±0.01
3 Management related occs 1: Total 15,574 3,975,190 95.18 1.21 0.02 1.21±0.02
3 Management related occs 2: Male 7,267 1,909,843 95.28 1.26 0.03 1.26±0.03
3 Management related occs 3: Female 8,307 2,065,347 95.08 1.17 0.03 1.17±0.03
3 Management related occs 4: White 13,613 3,508,911 95.16 1.23 0.02 1.23±0.02
3 Management related occs 5: Black 1,342 302,468 94.30 1.10 0.04 1.10±0.04
3 Management related occs 6: Other 619 163,811 97.18 1.00 0.00 1.00±0.00
3 Management related occs 7: Hispanic 795 208,368 94.65 1.21 0.10 1.21±0.10
3 Management related occs 8: NonHispanic 14,779 3,766,822 95.21 1.21 0.02 1.21±0.02
4 Engineers 1: Total 7,700 2,009,300 96.23 1.39 0.13 1.39±0.13
4 Engineers 2: Male 7,054 1,848,533 96.34 1.42 0.14 1.42±0.14
4 Engineers 3: Female 646 160,767 94.95 1.14 0.06 1.14±0.06
4 Engineers 4: White 6,831 1,780,112 96.16 1.42 0.14 1.42±0.14
4 Engineers 5: Black 324 85,626 97.15 1.20 0.14 1.20±0.14
4 Engineers 6: Other 545 143,563 96.54 1.00 0.00 1.00±0.00
4 Engineers 7: Hispanic 272 72,090 95.11 1.31 0.15 1.31±0.15
4 Engineers 8: NonHispanic 7,428 1,937,210 96.27 1.39 0.14 1.39±0.14
5 Architects and surveyors 1: Total 778 201,731 96.93 1.29 0.17 1.29±0.17
5 Architects and surveyors 2: Male 678 177,084 97.17 1.17 0.09 1.17±0.09
5 Architects and surveyors 3: Female 100 24,647 95.26 1.84 0.74 1.84±0.74
5 Architects and surveyors 4: White 717 186,076 96.75 1.30 0.17 1.30±0.17
5 Architects and surveyors 5: Black 27 7,204 98.01 1.00 0.00 1.00±0.00
5 Architects and surveyors 6: Other 34 8,451 100.00 .     
5 Architects and surveyors 7: Hispanic 55 13,983 100.00 .     
5 Architects and surveyors 8: NonHispanic 723 187,748 96.71 1.29 0.17 1.29±0.17
6 Natural mathematical/computer scientists 1: Total 5,115 1,330,325 97.06 1.24 0.05 1.24±0.05
6 Natural mathematical/computer scientists 2: Male 3,433 907,823 96.85 1.30 0.06 1.30±0.06
6 Natural mathematical/computer scientists 3: Female 1,682 422,502 97.51 1.06 0.04 1.06±0.04
6 Natural mathematical/computer scientists 4: White 4,421 1,154,319 97.01 1.25 0.05 1.25±0.05
6 Natural mathematical/computer scientists 5: Black 342 84,541 97.28 1.00 0.00 1.00±0.00
6 Natural mathematical/computer scientists 6: Other 352 91,465 97.45 1.21 0.14 1.21±0.14
6 Natural mathematical/computer scientists 7: Hispanic 182 48,104 98.44 1.94 0.47 1.94±0.47
6 Natural mathematical/computer scientists 8: NonHispanic 4,933 1,282,221 97.00 1.22 0.05 1.22±0.05
7 Health diagnosing occs 1: Total 3,249 829,443 95.93 1.12 0.04 1.12±0.04
7 Health diagnosing occs 2: Male 2,598 668,142 95.87 1.13 0.05 1.13±0.05
7 Health diagnosing occs 3: Female 651 161,301 96.16 1.09 0.06 1.09±0.06
7 Health diagnosing occs 4: White 2,839 724,399 95.85 1.12 0.04 1.12±0.04
7 Health diagnosing occs 5: Black 130 31,964 98.56 1.00 0.00 1.00±0.00
7 Health diagnosing occs 6: Other 280 73,080 95.55 1.14 0.13 1.14±0.13
7 Health diagnosing occs 7: Hispanic 153 41,633 95.80 1.00 0.00 1.00±0.00
7 Health diagnosing occs 8: NonHispanic 3,096 787,809 95.93 1.13 0.04 1.13±0.04
8 Health assessment/treating occs 1: Total 9,988 2,482,299 94.26 1.24 0.03 1.24±0.03
8 Health assessment/treating occs 2: Male 1,217 316,435 94.71 1.13 0.05 1.13±0.05
8 Health assessment/treating occs 3: Female 8,771 2,165,864 94.20 1.25 0.03 1.25±0.03
8 Health assessment/treating occs 4: White 8,445 2,133,040 94.14 1.26 0.03 1.26±0.03
8 Health assessment/treating occs 5: Black 1,078 230,708 94.20 1.07 0.03 1.07±0.03
8 Health assessment/treating occs 6: Other 465 118,550 96.65 1.03 0.03 1.03±0.03
8 Health assessment/treating occs 7: Hispanic 336 86,259 96.31 1.09 0.08 1.09±0.08
8 Health assessment/treating occs 8: NonHispanic 9,652 2,396,040 94.19 1.24 0.03 1.24±0.03
9 Teachers, librarians, counselors 1: Total 20,938 5,231,152 95.46 1.18 0.02 1.18±0.02
9 Teachers, librarians, counselors 2: Male 6,340 1,642,027 95.72 1.22 0.03 1.22±0.03
9 Teachers, librarians, counselors 3: Female 14,598 3,589,125 95.33 1.16 0.02 1.16±0.02
9 Teachers, librarians, counselors 4: White 18,208 4,612,706 95.44 1.18 0.02 1.18±0.02
9 Teachers, librarians, counselors 5: Black 2,136 452,612 95.01 1.15 0.04 1.15±0.04
9 Teachers, librarians, counselors 6: Other 594 165,834 97.07 1.15 0.06 1.15±0.06
9 Teachers, librarians, counselors 7: Hispanic 828 217,139 95.17 1.07 0.05 1.07±0.05
9 Teachers, librarians, counselors 8: NonHispanic 20,110 5,014,013 95.47 1.18 0.02 1.18±0.02
10 Writers, artists, entertainers, athletes 1: Total 7,538 1,971,725 95.66 1.15 0.03 1.15±0.03
10 Writers, artists, entertainers, athletes 2: Male 3,828 1,025,232 95.82 1.20 0.05 1.20±0.05
10 Writers, artists, entertainers, athletes 3: Female 3,710 946,492 95.48 1.10 0.03 1.10±0.03
10 Writers, artists, entertainers, athletes 4: White 6,879 1,799,120 95.67 1.15 0.03 1.15±0.03
10 Writers, artists, entertainers, athletes 5: Black 411 103,027 94.17 1.17 0.06 1.17±0.06
10 Writers, artists, entertainers, athletes 6: Other 248 69,577 97.43 1.13 0.10 1.13±0.10
10 Writers, artists, entertainers, athletes 7: Hispanic 359 93,668 94.86 1.13 0.09 1.13±0.09
10 Writers, artists, entertainers, athletes 8: NonHispanic 7,179 1,878,056 95.70 1.15 0.03 1.15±0.03
11 Other professional specialty occs 1: Total 8,822 2,227,360 94.63 1.22 0.03 1.22±0.03
11 Other professional specialty occs 2: Male 5,145 1,332,391 94.77 1.29 0.04 1.29±0.04
11 Other professional specialty occs 3: Female 3,677 894,969 94.42 1.12 0.02 1.12±0.02
11 Other professional specialty occs 4: White 7,627 1,952,622 94.77 1.22 0.03 1.22±0.03
11 Other professional specialty occs 5: Black 1,009 225,915 93.64 1.16 0.06 1.16±0.06
11 Other professional specialty occs 6: Other 186 48,823 93.85 1.43 0.17 1.43±0.17
11 Other professional specialty occs 7: Hispanic 388 98,301 95.46 1.34 0.13 1.34±0.13
11 Other professional specialty occs 8: NonHispanic 8,434 2,129,060 94.59 1.21 0.03 1.21±0.03
12 Health technologists/technicians 1: Total 5,558 1,357,639 93.35 1.19 0.03 1.19±0.03
12 Health technologists/technicians 2: Male 922 247,624 94.73 1.26 0.09 1.26±0.09
12 Health technologists/technicians 3: Female 4,636 1,110,015 93.04 1.18 0.03 1.18±0.03
12 Health technologists/technicians 4: White 4,331 1,091,114 93.11 1.17 0.03 1.17±0.03
12 Health technologists/technicians 5: Black 980 198,689 93.24 1.31 0.08 1.31±0.08
12 Health technologists/technicians 6: Other 247 67,836 97.53 1.12 0.12 1.12±0.12
12 Health technologists/technicians 7: Hispanic 345 89,019 93.87 1.19 0.10 1.19±0.10
12 Health technologists/technicians 8: NonHispanic 5,213 1,268,620 93.31 1.19 0.03 1.19±0.03
13 Technologists, technicians except health 1: Total 10,198 2,658,590 95.96 1.19 0.03 1.19±0.03
13 Technologists, technicians except health 2: Male 6,926 1,830,242 96.31 1.23 0.04 1.23±0.04
13 Technologists, technicians except health 3: Female 3,272 828,348 95.19 1.14 0.04 1.14±0.04
13 Technologists, technicians except health 4: White 8,778 2,305,125 96.03 1.19 0.03 1.19±0.03
13 Technologists, technicians except health 5: Black 816 191,172 93.69 1.27 0.07 1.27±0.07
13 Technologists, technicians except health 6: Other 604 162,293 97.61 1.05 0.05 1.05±0.05
13 Technologists, technicians except health 7: Hispanic 549 146,493 94.89 1.13 0.08 1.13±0.08
13 Technologists, technicians except health 8: NonHispanic 9,649 2,512,097 96.02 1.20 0.03 1.20±0.03
14 Supervisors and proprietors 1: Total 13,986 3,596,023 95.29 1.22 0.02 1.22±0.02
14 Supervisors and proprietors 2: Male 8,835 2,315,820 95.46 1.24 0.03 1.24±0.03
14 Supervisors and proprietors 3: Female 5,151 1,280,203 94.98 1.17 0.03 1.17±0.03
14 Supervisors and proprietors 4: White 12,793 3,297,445 95.12 1.22 0.02 1.22±0.02
14 Supervisors and proprietors 5: Black 706 169,165 97.25 1.19 0.11 1.19±0.11
14 Supervisors and proprietors 6: Other 487 129,414 97.19 1.12 0.11 1.12±0.11
14 Supervisors and proprietors 7: Hispanic 751 197,592 96.11 1.19 0.09 1.19±0.09
14 Supervisors and proprietors 8: NonHispanic 13,235 3,398,432 95.24 1.22 0.02 1.22±0.02
15 Sales representatives, commodities and finance 1: Total 13,918 3,603,720 95.08 1.20 0.02 1.20±0.02
15 Sales representatives, commodities and finance 2: Male 9,127 2,395,527 95.19 1.23 0.03 1.23±0.03
15 Sales representatives, commodities and finance 3: Female 4,791 1,208,194 94.86 1.15 0.03 1.15±0.03
15 Sales representatives, commodities and finance 4: White 12,985 3,373,892 94.93 1.21 0.02 1.21±0.02
15 Sales representatives, commodities and finance 5: Black 628 145,970 96.41 1.17 0.07 1.17±0.07
15 Sales representatives, commodities and finance 6: Other 305 83,858 98.63 1.00 0.00 1.00±0.00
15 Sales representatives, commodities and finance 7: Hispanic 603 155,619 95.30 1.23 0.10 1.23±0.10
15 Sales representatives, commodities and finance 8: NonHispanic 13,315 3,448,101 95.07 1.20 0.02 1.20±0.02
16 Other sales 1: Total 23,168 5,892,896 94.99 1.22 0.02 1.22±0.02
16 Other sales 2: Male 7,668 2,016,522 94.93 1.23 0.04 1.23±0.04
16 Other sales 3: Female 15,500 3,876,373 95.02 1.22 0.03 1.22±0.03
16 Other sales 4: White 19,679 5,079,311 94.82 1.23 0.02 1.23±0.02
16 Other sales 5: Black 2,619 574,014 95.64 1.20 0.06 1.20±0.06
16 Other sales 6: Other 870 239,570 96.98 1.09 0.05 1.09±0.05
16 Other sales 7: Hispanic 1,770 453,580 95.82 1.15 0.05 1.15±0.05
16 Other sales 8: NonHispanic 21,398 5,439,315 94.92 1.23 0.02 1.23±0.02
17 Computer equipment operators 1: Total 2,669 670,109 94.49 1.19 0.05 1.19±0.05
17 Computer equipment operators 2: Male 898 239,795 95.43 1.13 0.08 1.13±0.08
17 Computer equipment operators 3: Female 1,771 430,315 93.97 1.22 0.06 1.22±0.06
17 Computer equipment operators 4: White 2,134 551,272 94.55 1.12 0.04 1.12±0.04
17 Computer equipment operators 5: Black 443 94,249 94.00 1.64 0.20 1.64±0.20
17 Computer equipment operators 6: Other 92 24,588 94.98 1.00 0.00 1.00±0.00
17 Computer equipment operators 7: Hispanic 159 42,368 94.38 1.32 0.33 1.32±0.33
17 Computer equipment operators 8: NonHispanic 2,510 627,741 94.50 1.19 0.05 1.19±0.05
18 Secretaries, stenographers and typists 1: Total 17,666 4,413,986 94.81 1.19 0.02 1.19±0.02
18 Secretaries, stenographers and typists 2: Male 318 82,392 95.68 1.37 0.24 1.37±0.24
18 Secretaries, stenographers and typists 3: Female 17,348 4,331,594 94.79 1.19 0.02 1.19±0.02
18 Secretaries, stenographers and typists 4: White 15,405 3,926,331 94.77 1.20 0.02 1.20±0.02
18 Secretaries, stenographers and typists 5: Black 1,888 383,375 94.42 1.15 0.04 1.15±0.04
18 Secretaries, stenographers and typists 6: Other 373 104,279 97.73 1.21 0.20 1.21±0.20
18 Secretaries, stenographers and typists 7: Hispanic 1,053 268,104 95.20 1.15 0.07 1.15±0.07
18 Secretaries, stenographers and typists 8: NonHispanic 16,613 4,145,882 94.78 1.19 0.02 1.19±0.02
19 Financial records processing occs 1: Total 8,945 2,245,512 94.73 1.26 0.03 1.26±0.03
19 Financial records processing occs 2: Male 828 220,612 93.19 1.42 0.14 1.42±0.14
19 Financial records processing occs 3: Female 8,117 2,024,900 94.90 1.23 0.03 1.23±0.03
19 Financial records processing occs 4: White 7,968 2,018,647 94.64 1.26 0.03 1.26±0.03
19 Financial records processing occs 5: Black 664 141,277 95.42 1.27 0.16 1.27±0.16
19 Financial records processing occs 6: Other 313 85,588 95.68 1.14 0.09 1.14±0.09
19 Financial records processing occs 7: Hispanic 471 118,397 94.15 1.00 0.00 1.00±0.00
19 Financial records processing occs 8: NonHispanic 8,474 2,127,115 94.76 1.27 0.03 1.27±0.03
20 Mail and message distributing 1: Total 3,735 914,844 95.13 1.16 0.03 1.16±0.03
20 Mail and message distributing 2: Male 2,307 583,219 95.06 1.17 0.04 1.17±0.04
20 Mail and message distributing 3: Female 1,428 331,625 95.26 1.15 0.04 1.15±0.04
20 Mail and message distributing 4: White 2,729 694,766 95.05 1.13 0.04 1.13±0.04
20 Mail and message distributing 5: Black 850 178,086 94.67 1.31 0.08 1.31±0.08
20 Mail and message distributing 6: Other 156 41,992 98.43 1.00 0.00 1.00±0.00
20 Mail and message distributing 7: Hispanic 280 72,808 96.88 1.11 0.10 1.11±0.10
20 Mail and message distributing 8: NonHispanic 3,455 842,036 94.98 1.17 0.03 1.17±0.03
21 Other administrative support 1: Total 37,119 9,296,535 94.77 1.21 0.02 1.21±0.02
21 Other administrative support 2: Male 9,841 2,592,119 95.30 1.25 0.03 1.25±0.03
21 Other administrative support 3: Female 27,278 6,704,416 94.57 1.20 0.02 1.20±0.02
21 Other administrative support 4: White 30,337 7,787,826 94.63 1.21 0.02 1.21±0.02
21 Other administrative support 5: Black 5,555 1,176,476 94.98 1.22 0.04 1.22±0.04
21 Other administrative support 6: Other 1,227 332,234 97.40 1.15 0.10 1.15±0.10
21 Other administrative support 7: Hispanic 2,857 733,149 95.06 1.16 0.04 1.16±0.04
21 Other administrative support 8: NonHispanic 34,262 8,563,386 94.75 1.22 0.02 1.22±0.02
22 Private household occs 1: Total 3,324 761,954 95.10 1.22 0.05 1.22±0.05
22 Private household occs 2: Male 144 36,030 98.87 1.45 0.35 1.45±0.35
22 Private household occs 3: Female 3,180 725,924 94.92 1.22 0.05 1.22±0.05
22 Private household occs 4: White 2,092 525,115 95.43 1.28 0.07 1.28±0.07
22 Private household occs 5: Black 1,155 215,855 94.11 1.06 0.02 1.06±0.02
22 Private household occs 6: Other 77 20,984 97.13 2.37 0.61 2.37±0.61
22 Private household occs 7: Hispanic 522 128,949 97.36 1.07 0.07 1.07±0.07
22 Private household occs 8: NonHispanic 2,802 633,005 94.64 1.24 0.05 1.24±0.05
23 Police and firefighters 1: Total 4,471 1,157,796 94.95 1.21 0.03 1.21±0.03
23 Police and firefighters 2: Male 3,899 1,021,431 95.00 1.21 0.03 1.21±0.03
23 Police and firefighters 3: Female 572 136,365 94.56 1.22 0.08 1.22±0.08
23 Police and firefighters 4: White 3,722 973,160 94.79 1.22 0.03 1.22±0.03
23 Police and firefighters 5: Black 675 163,151 95.33 1.19 0.10 1.19±0.10
23 Police and firefighters 6: Other 74 21,485 99.19 1.00 0.00 1.00±0.00
23 Police and firefighters 7: Hispanic 281 74,433 97.32 1.23 0.15 1.23±0.15
23 Police and firefighters 8: NonHispanic 4,190 1,083,362 94.79 1.21 0.03 1.21±0.03
24 Other protective service occs 1: Total 3,140 793,111 93.76 1.39 0.18 1.39±0.18
24 Other protective service occs 2: Male 2,488 638,415 93.38 1.44 0.21 1.44±0.21
24 Other protective service occs 3: Female 652 154,696 95.34 1.06 0.04 1.06±0.04
24 Other protective service occs 4: White 2,251 596,080 93.35 1.41 0.22 1.41±0.22
24 Other protective service occs 5: Black 794 172,579 94.69 1.30 0.15 1.30±0.15
24 Other protective service occs 6: Other 95 24,452 97.23 1.00 0.00 1.00±0.00
24 Other protective service occs 7: Hispanic 224 57,736 97.25 1.00 0.00 1.00±0.00
24 Other protective service occs 8: NonHispanic 2,916 735,375 93.49 1.40 0.18 1.40±0.18
25 Food service 1: Total 18,097 4,570,186 95.35 1.22 0.02 1.22±0.02
25 Food service 2: Male 6,577 1,734,081 96.43 1.19 0.03 1.19±0.03
25 Food service 3: Female 11,520 2,836,105 94.68 1.23 0.03 1.23±0.03
25 Food service 4: White 14,187 3,677,566 95.27 1.20 0.02 1.20±0.02
25 Food service 5: Black 2,870 604,271 95.30 1.28 0.08 1.28±0.08
25 Food service 6: Other 1,040 288,349 96.46 1.48 0.27 1.48±0.27
25 Food service 7: Hispanic 2,080 537,477 96.61 1.13 0.05 1.13±0.05
25 Food service 8: NonHispanic 16,017 4,032,710 95.18 1.23 0.03 1.23±0.03
26 Health service 1: Total 8,508 1,986,806 92.83 1.22 0.02 1.22±0.02
26 Health service 2: Male 820 207,785 91.85 1.15 0.05 1.15±0.05
26 Health service 3: Female 7,688 1,779,022 92.95 1.23 0.03 1.23±0.03
26 Health service 4: White 5,477 1,377,005 92.59 1.24 0.03 1.24±0.03
26 Health service 5: Black 2,721 529,021 92.86 1.15 0.03 1.15±0.03
26 Health service 6: Other 310 80,780 96.78 1.36 0.15 1.36±0.15
26 Health service 7: Hispanic 632 157,020 94.07 1.11 0.06 1.11±0.06
26 Health service 8: NonHispanic 7,876 1,829,786 92.73 1.22 0.03 1.22±0.03
27 Cleaning and building service 1: Total 11,852 2,836,111 94.46 1.22 0.02 1.22±0.02
27 Cleaning and building service 2: Male 6,748 1,666,580 94.41 1.23 0.04 1.23±0.04
27 Cleaning and building service 3: Female 5,104 1,169,530 94.53 1.21 0.04 1.21±0.04
27 Cleaning and building service 4: White 8,022 2,035,113 94.37 1.22 0.03 1.22±0.03
27 Cleaning and building service 5: Black 3,368 670,658 94.44 1.24 0.04 1.24±0.04
27 Cleaning and building service 6: Other 462 130,339 95.93 1.05 0.05 1.05±0.05
27 Cleaning and building service 7: Hispanic 1,583 397,872 95.68 1.16 0.06 1.16±0.06
27 Cleaning and building service 8: NonHispanic 10,269 2,438,238 94.26 1.23 0.03 1.23±0.03
28 Personal service 1: Total 9,494 2,356,169 94.86 1.17 0.03 1.17±0.03
28 Personal service 2: Male 1,639 426,790 95.28 1.19 0.08 1.19±0.08
28 Personal service 3: Female 7,855 1,929,380 94.76 1.17 0.02 1.17±0.02
28 Personal service 4: White 7,754 1,985,097 94.68 1.18 0.03 1.18±0.03
28 Personal service 5: Black 1,408 276,853 95.15 1.16 0.06 1.16±0.06
28 Personal service 6: Other 332 94,219 97.77 1.09 0.08 1.09±0.08
28 Personal service 7: Hispanic 730 185,720 94.47 1.21 0.13 1.21±0.13
28 Personal service 8: NonHispanic 8,764 2,170,450 94.89 1.17 0.03 1.17±0.03
29 Farm operators and managers 1: Total 5,843 1,399,369 93.07 1.28 0.03 1.28±0.03
29 Farm operators and managers 2: Male 4,849 1,168,400 92.63 1.29 0.03 1.29±0.03
29 Farm operators and managers 3: Female 994 230,968 95.31 1.15 0.05 1.15±0.05
29 Farm operators and managers 4: White 5,690 1,360,005 93.05 1.27 0.03 1.27±0.03
29 Farm operators and managers 5: Black 101 26,581 95.91 1.92 0.62 1.92±0.62
29 Farm operators and managers 6: Other 52 12,783 89.95 1.49 0.19 1.49±0.19
29 Farm operators and managers 7: Hispanic 166 42,237 93.76 1.08 0.08 1.08±0.08
29 Farm operators and managers 8: NonHispanic 5,677 1,357,132 93.05 1.28 0.03 1.28±0.03
30 Farm workers and other agricultural workers 1: Total 6,463 1,616,443 95.50 1.19 0.03 1.19±0.03
30 Farm workers and other agricultural workers 2: Male 5,271 1,322,851 95.48 1.20 0.04 1.20±0.04
30 Farm workers and other agricultural workers 3: Female 1,192 293,592 95.63 1.14 0.05 1.14±0.05
30 Farm workers and other agricultural workers 4: White 5,625 1,421,858 95.55 1.17 0.04 1.17±0.04
30 Farm workers and other agricultural workers 5: Black 698 158,075 95.43 1.24 0.07 1.24±0.07
30 Farm workers and other agricultural workers 6: Other 140 36,510 94.21 1.39 0.21 1.39±0.21
30 Farm workers and other agricultural workers 7: Hispanic 1,489 373,069 96.86 1.19 0.09 1.19±0.09
30 Farm workers and other agricultural workers 8: NonHispanic 4,974 1,243,374 95.10 1.18 0.04 1.18±0.04
31 Forestry and fishing occs 1: Total 736 199,857 96.55 1.25 0.11 1.25±0.11
31 Forestry and fishing occs 2: Male 704 191,542 96.51 1.26 0.11 1.26±0.11
31 Forestry and fishing occs 3: Female 32 8,315 97.45 1.00 0.00 1.00±0.00
31 Forestry and fishing occs 4: White 620 170,245 96.86 1.32 0.14 1.32±0.14
31 Forestry and fishing occs 5: Black 98 23,999 94.52 1.00 0.00 1.00±0.00
31 Forestry and fishing occs 6: Other 18 5,614 95.64 1.00 0.00 1.00±0.00
31 Forestry and fishing occs 7: Hispanic 25 6,092 95.85 1.00 0.00 1.00±0.00
31 Forestry and fishing occs 8: NonHispanic 711 193,766 96.57 1.26 0.11 1.26±0.11
32 Mechanics and repairers 1: Total 16,258 4,203,192 94.95 1.18 0.02 1.18±0.02
32 Mechanics and repairers 2: Male 15,585 4,037,571 94.97 1.18 0.02 1.18±0.02
32 Mechanics and repairers 3: Female 673 165,622 94.47 1.12 0.08 1.12±0.08
32 Mechanics and repairers 4: White 14,399 3,756,127 94.89 1.18 0.02 1.18±0.02
32 Mechanics and repairers 5: Black 1,459 334,805 95.11 1.08 0.04 1.08±0.04
32 Mechanics and repairers 6: Other 400 112,260 96.64 1.34 0.13 1.34±0.13
32 Mechanics and repairers 7: Hispanic 1,190 312,662 96.11 1.18 0.08 1.18±0.08
32 Mechanics and repairers 8: NonHispanic 15,068 3,890,530 94.86 1.18 0.02 1.18±0.02
33 Construction and extractive trades 1: Total 19,111 4,960,923 95.65 1.17 0.02 1.17±0.02
33 Construction and extractive trades 2: Male 18,665 4,852,370 95.66 1.18 0.02 1.18±0.02
33 Construction and extractive trades 3: Female 446 108,553 95.56 1.00 0.00 1.00±0.00
33 Construction and extractive trades 4: White 17,140 4,502,359 95.63 1.17 0.02 1.17±0.02
33 Construction and extractive trades 5: Black 1,589 350,909 96.00 1.18 0.06 1.18±0.06
33 Construction and extractive trades 6: Other 382 107,655 95.34 1.22 0.12 1.22±0.12
33 Construction and extractive trades 7: Hispanic 1,717 451,211 96.70 1.19 0.07 1.19±0.07
33 Construction and extractive trades 8: NonHispanic 17,394 4,509,712 95.55 1.17 0.02 1.17±0.02
34 Precision production occs 1: Total 14,874 3,766,588 94.69 1.18 0.02 1.18±0.02
34 Precision production occs 2: Male 11,282 2,894,734 94.84 1.18 0.02 1.18±0.02
34 Precision production occs 3: Female 3,592 871,854 94.18 1.16 0.04 1.16±0.04
34 Precision production occs 4: White 12,844 3,299,504 94.56 1.17 0.02 1.17±0.02
34 Precision production occs 5: Black 1,435 310,343 95.01 1.23 0.11 1.23±0.11
34 Precision production occs 6: Other 595 156,740 96.62 1.12 0.07 1.12±0.07
34 Precision production occs 7: Hispanic 1,326 343,542 96.30 1.07 0.04 1.07±0.04
34 Precision production occs 8: NonHispanic 13,548 3,423,046 94.52 1.18 0.02 1.18±0.02
35 Machine operators/tenderers, except precision 1: Total 21,002 5,221,401 94.52 1.18 0.02 1.18±0.02
35 Machine operators/tenderers, except precision 2: Male 12,267 3,134,398 94.97 1.20 0.02 1.20±0.02
35 Machine operators/tenderers, except precision 3: Female 8,735 2,087,003 93.84 1.16 0.02 1.16±0.02
35 Machine operators/tenderers, except precision 4: White 16,448 4,210,362 94.35 1.18 0.02 1.18±0.02
35 Machine operators/tenderers, except precision 5: Black 3,729 794,809 94.72 1.23 0.04 1.23±0.04
35 Machine operators/tenderers, except precision 6: Other 825 216,230 96.90 1.00 0.00 1.00±0.00
35 Machine operators/tenderers, except precision 7: Hispanic 2,637 660,521 96.22 1.11 0.06 1.11±0.05
35 Machine operators/tenderers, except precision 8: NonHispanic 18,365 4,560,880 94.27 1.19 0.02 1.19±0.02
36 Fabricators, assemblers, inspectors, samplers 1: Total 10,312 2,566,964 94.29 1.21 0.02 1.21±0.02
36 Fabricators, assemblers, inspectors, samplers 2: Male 6,209 1,581,326 94.63 1.23 0.03 1.23±0.03
36 Fabricators, assemblers, inspectors, samplers 3: Female 4,103 985,638 93.74 1.18 0.04 1.18±0.04
36 Fabricators, assemblers, inspectors, samplers 4: White 8,334 2,118,235 94.37 1.23 0.03 1.23±0.03
36 Fabricators, assemblers, inspectors, samplers 5: Black 1,541 336,777 93.72 1.12 0.04 1.12±0.04
36 Fabricators, assemblers, inspectors, samplers 6: Other 437 111,951 94.53 1.14 0.08 1.14±0.08
36 Fabricators, assemblers, inspectors, samplers 7: Hispanic 1,197 298,407 95.79 1.15 0.08 1.15±0.08
36 Fabricators, assemblers, inspectors, samplers 8: NonHispanic 9,115 2,268,557 94.10 1.22 0.03 1.22±0.03
37 Motor vehicle operators 1: Total 14,053 3,529,824 94.16 1.20 0.02 1.20±0.02
37 Motor vehicle operators 2: Male 12,448 3,147,698 94.26 1.21 0.02 1.21±0.02
37 Motor vehicle operators 3: Female 1,605 382,126 93.31 1.19 0.05 1.19±0.05
37 Motor vehicle operators 4: White 11,318 2,907,359 94.01 1.20 0.02 1.20±0.02
37 Motor vehicle operators 5: Black 2,421 536,222 94.60 1.21 0.04 1.21±0.04
37 Motor vehicle operators 6: Other 314 86,243 96.34 1.51 0.27 1.51±0.27
37 Motor vehicle operators 7: Hispanic 1,051 276,992 95.83 1.16 0.07 1.16±0.07
37 Motor vehicle operators 8: NonHispanic 13,002 3,252,832 94.01 1.21 0.02 1.21±0.02
38 Other transportation, except motor vehicles 1: Total 668 176,360 93.37 1.27 0.11 1.27±0.11
38 Other transportation, except motor vehicles 2: Male 645 170,736 93.40 1.16 0.06 1.16±0.06
38 Other transportation, except motor vehicles 3: Female 23 5,625 92.41 4.12 1.41 4.12±1.41
38 Other transportation, except motor vehicles 4: White 598 160,282 92.85 1.27 0.11 1.27±0.11
38 Other transportation, except motor vehicles 5: Black 63 13,492 98.26 1.00 0.00 1.00±0.00
38 Other transportation, except motor vehicles 6: Other 7 2,587 100.00      
38 Other transportation, except motor vehicles 7: Hispanic 21 6,341 100.00      
38 Other transportation, except motor vehicles 8: NonHispanic 647 170,020 93.12 1.27 0.11 1.27±0.11
39 Material moving equipment operators 1: Total 4,326 1,094,233 93.73 1.18 0.03 1.18±0.03
39 Material moving equipment operators 2: Male 4,084 1,035,934 93.85 1.16 0.03 1.16±0.03
39 Material moving equipment operators 3: Female 242 58,299 91.60 1.35 0.13 1.35±0.13
39 Material moving equipment operators 4: White 3,575 919,315 93.98 1.18 0.04 1.18±0.04
39 Material moving equipment operators 5: Black 663 152,242 92.24 1.15 0.07 1.15±0.07
39 Material moving equipment operators 6: Other 88 22,676 93.36 1.14 0.13 1.14±0.13
39 Material moving equipment operators 7: Hispanic 352 88,147 93.73 1.07 0.07 1.07±0.07
39 Material moving equipment operators 8: NonHispanic 3,974 1,006,086 93.73 1.18 0.03 1.18±0.03
40 Construction laborers 1: Total 2,707 697,191 95.95 1.14 0.04 1.14±0.04
40 Construction laborers 2: Male 2,625 676,315 95.93 1.15 0.04 1.15±0.04
40 Construction laborers 3: Female 82 20,877 96.69 1.00 0.00 1.00±0.00
40 Construction laborers 4: White 2,216 585,900 95.92 1.15 0.04 1.15±0.04
40 Construction laborers 5: Black 440 97,045 95.53 1.10 0.07 1.10±0.07
40 Construction laborers 6: Other 51 14,246 100.00      
40 Construction laborers 7: Hispanic 427 111,458 96.82 1.07 0.07 1.07±0.07
40 Construction laborers 8: NonHispanic 2,280 585,733 95.79 1.15 0.04 1.15±0.04
41 Freight, stock, material handlers 1: Total 13,517 3,410,507 94.86 1.19 0.02 1.19±0.02
41 Freight, stock, material handlers 2: Male 10,246 2,627,018 95.18 1.16 0.02 1.16±0.02
41 Freight, stock, material handlers 3: Female 3,271 783,489 93.76 1.26 0.04 1.26±0.04
41 Freight, stock, material handlers 4: White 10,550 2,733,823 94.78 1.18 0.02 1.18±0.02
41 Freight, stock, material handlers 5: Black 2,561 564,450 95.34 1.26 0.07 1.26±0.07
41 Freight, stock, material handlers 6: Other 406 112,233 94.32 1.09 0.09 1.09±0.09
41 Freight, stock, material handlers 7: Hispanic 1,469 379,154 96.26 1.13 0.07 1.13±0.07
41 Freight, stock, material handlers 8: NonHispanic 12,048 3,031,353 94.68 1.20 0.02 1.20±0.02