| Table 10. Average Number of Self Reported Health Conditions (> 1) by 13 Occupations | |||||||||||||||||||||||||||||||||
| Health Status | |||||||||||||||||||||||||||||||||
| Occupation 13 Classes | Group | Sample Size | Population Estimates | Estimated Prevelance of 0 Health Conditions reported | Average # conditions reported among participants reporting at least 1 Health Condition | Standard Error of # Health Conditions | X+SE | ||||||||||||||||||||||||||
| All Workers | 451,897 | 70,697,031 | 61.96 | 1.61 | 0.01 | 1.61±0.01 | |||||||||||||||||||||||||||
| 1 | Executive, administrative managerial | 1: Total | 62,051 | 15,855,350 | 61.04 | 1.60 | 0.01 | 1.60±0.01 | |||||||||||||||||||||||||
| 2 | Executive, administrative managerial | 2: Male | 36,403 | 9,485,959 | 62.97 | 1.55 | 0.01 | 1.55±0.01 | |||||||||||||||||||||||||
| 3 | Executive, administrative managerial | 3: Female | 25,648 | 6,369,391 | 58.16 | 1.68 | 0.01 | 1.68±0.01 | |||||||||||||||||||||||||
| 4 | Executive, administrative managerial | 4: White | 55,707 | 14,340,387 | 60.26 | 1.61 | 0.01 | 1.61±0.01 | |||||||||||||||||||||||||
| 5 | Executive, administrative managerial | 5: Black | 4,327 | 982,642 | 66.15 | 1.59 | 0.03 | 1.59±0.03 | |||||||||||||||||||||||||
| 6 | Executive, administrative managerial | 6: Other | 2,017 | 532,322 | 72.54 | 1.48 | 0.05 | 1.48±0.05 | |||||||||||||||||||||||||
| 7 | Executive, administrative managerial | 7: Hispanic | 2,948 | 769,548 | 66.85 | 1.59 | 0.03 | 1.59±0.03 | |||||||||||||||||||||||||
| 8 | Executive, administrative managerial | 8: NonHispanic | 59,103 | 15,085,802 | 60.74 | 1.60 | 0.01 | 1.60±0.01 | |||||||||||||||||||||||||
| 9 | Professional specialty | 1: Total | 64,128 | 16,283,334 | 59.34 | 1.63 | 0.01 | 1.63±0.01 | |||||||||||||||||||||||||
| 10 | Professional specialty | 2: Male | 30,293 | 7,917,667 | 62.59 | 1.57 | 0.01 | 1.57±0.01 | |||||||||||||||||||||||||
| 11 | Professional specialty | 3: Female | 33,835 | 8,365,667 | 56.27 | 1.68 | 0.01 | 1.68±0.01 | |||||||||||||||||||||||||
| 12 | Professional specialty | 4: White | 55,967 | 14,342,393 | 58.44 | 1.63 | 0.01 | 1.63±0.01 | |||||||||||||||||||||||||
| 13 | Professional specialty | 5: Black | 5,457 | 1,221,598 | 63.62 | 1.68 | 0.03 | 1.68±0.03 | |||||||||||||||||||||||||
| 14 | Professional specialty | 6: Other | 2,704 | 719,343 | 70.02 | 1.49 | 0.04 | 1.49±0.04 | |||||||||||||||||||||||||
| 15 | Professional specialty | 7: Hispanic | 2,573 | 671,176 | 62.16 | 1.70 | 0.05 | 1.70±0.05 | |||||||||||||||||||||||||
| 16 | Professional specialty | 8: NonHispanic | 61,555 | 15,612,158 | 59.22 | 1.63 | 0.01 | 1.63±0.01 | |||||||||||||||||||||||||
| 17 | Technicians/related support | 1: Total | 15,756 | 4,016,229 | 61.27 | 1.60 | 0.01 | 1.60±0.01 | |||||||||||||||||||||||||
| 18 | Technicians/related support | 2: Male | 7,848 | 2,077,866 | 64.37 | 1.51 | 0.02 | 1.51±0.02 | |||||||||||||||||||||||||
| 19 | Technicians/related support | 3: Female | 7,908 | 1,938,363 | 57.95 | 1.68 | 0.02 | 1.68±0.02 | |||||||||||||||||||||||||
| 20 | Technicians/related support | 4: White | 13,109 | 3,396,239 | 59.89 | 1.60 | 0.02 | 1.60±0.02 | |||||||||||||||||||||||||
| 21 | Technicians/related support | 5: Black | 1,796 | 389,861 | 67.25 | 1.60 | 0.05 | 1.60±0.05 | |||||||||||||||||||||||||
| 22 | Technicians/related support | 6: Other | 851 | 230,129 | 71.44 | 1.46 | 0.06 | 1.46±0.06 | |||||||||||||||||||||||||
| 23 | Technicians/related support | 7: Hispanic | 894 | 235,511 | 65.29 | 1.52 | 0.05 | 1.52±0.05 | |||||||||||||||||||||||||
| 24 | Technicians/related support | 8: NonHispanic | 14,862 | 3,780,718 | 61.02 | 1.60 | 0.02 | 1.60±0.02 | |||||||||||||||||||||||||
| 25 | Sales | 1: Total | 51,072 | 13,092,640 | 63.23 | 1.61 | 0.01 | 1.61±0.01 | |||||||||||||||||||||||||
| 26 | Sales | 2: Male | 25,630 | 6,727,869 | 65.18 | 1.54 | 0.01 | 1.54±0.01 | |||||||||||||||||||||||||
| 27 | Sales | 3: Female | 25,442 | 6,364,770 | 61.16 | 1.67 | 0.01 | 1.67±0.01 | |||||||||||||||||||||||||
| 28 | Sales | 4: White | 45,457 | 11,750,648 | 62.28 | 1.61 | 0.01 | 1.61±0.01 | |||||||||||||||||||||||||
| 29 | Sales | 5: Black | 3,953 | 889,149 | 69.20 | 1.52 | 0.03 | 1.52±0.03 | |||||||||||||||||||||||||
| 30 | Sales | 6: Other | 1,662 | 452,842 | 75.93 | 1.60 | 0.08 | 1.60±0.08 | |||||||||||||||||||||||||
| 31 | Sales | 7: Hispanic | 3,124 | 806,791 | 70.96 | 1.59 | 0.04 | 1.59±0.04 | |||||||||||||||||||||||||
| 32 | Sales | 8: NonHispanic | 47,948 | 12,285,848 | 62.72 | 1.61 | 0.01 | 1.61±0.01 | |||||||||||||||||||||||||
| 33 | Administrative support occs, including clerical | 1: Total | 70,134 | 17,540,987 | 60.61 | 1.64 | 0.01 | 1.64±0.01 | |||||||||||||||||||||||||
| 34 | Administrative support occs, including clerical | 2: Male | 14,192 | 3,718,137 | 63.90 | 1.56 | 0.01 | 1.56±0.01 | |||||||||||||||||||||||||
| 35 | Administrative support occs, including clerical | 3: Female | 55,942 | 13,822,850 | 59.72 | 1.66 | 0.01 | 1.66±0.01 | |||||||||||||||||||||||||
| 36 | Administrative support occs, including clerical | 4: White | 58,573 | 14,978,842 | 59.64 | 1.65 | 0.01 | 1.65±0.01 | |||||||||||||||||||||||||
| 37 | Administrative support occs, including clerical | 5: Black | 9,400 | 1,973,463 | 65.45 | 1.55 | 0.02 | 1.55±0.02 | |||||||||||||||||||||||||
| 38 | Administrative support occs, including clerical | 6: Other | 2,161 | 588,682 | 68.93 | 1.49 | 0.03 | 1.49±0.03 | |||||||||||||||||||||||||
| 39 | Administrative support occs, including clerical | 7: Hispanic | 4,820 | 1,234,827 | 66.69 | 1.53 | 0.02 | 1.53±0.02 | |||||||||||||||||||||||||
| 40 | Administrative support occs, including clerical | 8: NonHispanic | 65,314 | 16,306,160 | 60.15 | 1.65 | 0.01 | 1.65±0.01 | |||||||||||||||||||||||||
| 41 | Private household | 1: Total | 3,324 | 761,954 | 54.42 | 1.85 | 0.03 | 1.85±0.03 | |||||||||||||||||||||||||
| 42 | Private household | 2: Male | 144 | 36,030 | 67.72 | 1.61 | 0.17 | 1.61±0.17 | |||||||||||||||||||||||||
| 43 | Private household | 3: Female | 3,180 | 725,924 | 53.76 | 1.86 | 0.03 | 1.86±0.03 | |||||||||||||||||||||||||
| 44 | Private household | 4: White | 2,092 | 525,115 | 54.12 | 1.84 | 0.04 | 1.84±0.04 | |||||||||||||||||||||||||
| 45 | Private household | 5: Black | 1,155 | 215,855 | 53.75 | 1.89 | 0.06 | 1.89±0.06 | |||||||||||||||||||||||||
| 46 | Private household | 6: Other | 77 | 20,984 | 68.96 | 1.53 | 0.15 | 1.53±0.15 | |||||||||||||||||||||||||
| 47 | Private household | 7: Hispanic | 522 | 128,949 | 70.99 | 1.60 | 0.05 | 1.60±0.05 | |||||||||||||||||||||||||
| 48 | Private household | 8: NonHispanic | 2,802 | 633,005 | 51.05 | 1.88 | 0.04 | 1.88±0.04 | |||||||||||||||||||||||||
| 49 | Protective service | 1: Total | 7,611 | 1,950,907 | 62.58 | 1.60 | 0.02 | 1.60±0.02 | |||||||||||||||||||||||||
| 50 | Protective service | 2: Male | 6,387 | 1,659,846 | 63.46 | 1.58 | 0.02 | 1.58±0.02 | |||||||||||||||||||||||||
| 51 | Protective service | 3: Female | 1,224 | 291,060 | 57.55 | 1.71 | 0.06 | 1.71±0.06 | |||||||||||||||||||||||||
| 52 | Protective service | 4: White | 5,973 | 1,569,239 | 61.50 | 1.63 | 0.02 | 1.63±0.02 | |||||||||||||||||||||||||
| 53 | Protective service | 5: Black | 1,469 | 335,730 | 67.08 | 1.50 | 0.04 | 1.50±0.04 | |||||||||||||||||||||||||
| 54 | Protective service | 6: Other | 169 | 45,937 | 66.39 | 1.44 | 0.09 | 1.44±0.09 | |||||||||||||||||||||||||
| 55 | Protective service | 7: Hispanic | 505 | 132,169 | 67.95 | 1.46 | 0.08 | 1.46±0.08 | |||||||||||||||||||||||||
| 56 | Protective service | 8: NonHispanic | 7,106 | 1,818,737 | 62.19 | 1.61 | 0.02 | 1.61±0.02 | |||||||||||||||||||||||||
| 57 | Service occs, except protective/household | 1: Total | 47,951 | 11,749,273 | 60.47 | 1.67 | 0.01 | 1.67±0.01 | |||||||||||||||||||||||||
| 58 | Service occs, except protective/household | 2: Male | 15,784 | 4,035,235 | 66.05 | 1.55 | 0.01 | 1.55±0.01 | |||||||||||||||||||||||||
| 59 | Service occs, except protective/household | 3: Female | 32,167 | 7,714,037 | 57.55 | 1.72 | 0.01 | 1.72±0.01 | |||||||||||||||||||||||||
| 60 | Service occs, except protective/household | 4: White | 35,440 | 9,074,782 | 59.05 | 1.68 | 0.01 | 1.68±0.01 | |||||||||||||||||||||||||
| 61 | Service occs, except protective/household | 5: Black | 10,367 | 2,080,803 | 63.73 | 1.62 | 0.02 | 1.62±0.02 | |||||||||||||||||||||||||
| 62 | Service occs, except protective/household | 6: Other | 2,144 | 593,688 | 70.79 | 1.60 | 0.05 | 1.60±0.05 | |||||||||||||||||||||||||
| 63 | Service occs, except protective/household | 7: Hispanic | 5,025 | 1,278,089 | 70.25 | 1.56 | 0.03 | 1.56±0.03 | |||||||||||||||||||||||||
| 64 | Service occs, except protective/household | 8: NonHispanic | 42,926 | 10,471,184 | 59.28 | 1.68 | 0.01 | 1.68±0.01 | |||||||||||||||||||||||||
| 65 | Farming, forestry, fishing | 1: Total | 13,042 | 3,215,669 | 64.06 | 1.66 | 0.02 | 1.66±0.02 | |||||||||||||||||||||||||
| 66 | Farming, forestry, fishing | 2: Male | 10,824 | 2,682,794 | 65.05 | 1.64 | 0.02 | 1.64±0.02 | |||||||||||||||||||||||||
| 67 | Farming, forestry, fishing | 3: Female | 2,218 | 532,875 | 59.08 | 1.73 | 0.04 | 1.73±0.04 | |||||||||||||||||||||||||
| 68 | Farming, forestry, fishing | 4: White | 11,935 | 2,952,108 | 63.80 | 1.66 | 0.02 | 1.66±0.02 | |||||||||||||||||||||||||
| 69 | Farming, forestry, fishing | 5: Black | 897 | 208,654 | 67.34 | 1.57 | 0.06 | 1.57±0.06 | |||||||||||||||||||||||||
| 70 | Farming, forestry, fishing | 6: Other | 210 | 54,907 | 65.48 | 1.64 | 0.14 | 1.64±0.14 | |||||||||||||||||||||||||
| 71 | Farming, forestry, fishing | 7: Hispanic | 1,680 | 421,398 | 82.30 | 1.41 | 0.04 | 1.41±0.04 | |||||||||||||||||||||||||
| 72 | Farming, forestry, fishing | 8: NonHispanic | 11,362 | 2,794,271 | 61.31 | 1.67 | 0.02 | 1.67±0.02 | |||||||||||||||||||||||||
| 73 | Precision production, craft, repair | 1: Total | 50,243 | 12,930,703 | 64.82 | 1.56 | 0.01 | 1.56±0.01 | |||||||||||||||||||||||||
| 74 | Precision production, craft, repair | 2: Male | 45,532 | 11,784,674 | 65.40 | 1.54 | 0.01 | 1.54±0.01 | |||||||||||||||||||||||||
| 75 | Precision production, craft, repair | 3: Female | 4,711 | 1,146,029 | 58.81 | 1.67 | 0.03 | 1.67±0.03 | |||||||||||||||||||||||||
| 76 | Precision production, craft, repair | 4: White | 44,383 | 11,557,990 | 64.05 | 1.56 | 0.01 | 1.56±0.01 | |||||||||||||||||||||||||
| 77 | Precision production, craft, repair | 5: Black | 4,483 | 996,058 | 71.49 | 1.49 | 0.03 | 1.49±0.03 | |||||||||||||||||||||||||
| 78 | Precision production, craft, repair | 6: Other | 1,377 | 376,655 | 70.86 | 1.51 | 0.07 | 1.51±0.07 | |||||||||||||||||||||||||
| 79 | Precision production, craft, repair | 7: Hispanic | 4,233 | 1,107,415 | 74.70 | 1.37 | 0.02 | 1.37±0.02 | |||||||||||||||||||||||||
| 80 | Precision production, craft, repair | 8: NonHispanic | 46,010 | 11,823,288 | 63.89 | 1.57 | 0.01 | 1.57±0.01 | |||||||||||||||||||||||||
| 81 | Machine operators, assemblers, inspectors | 1: Total | 31,314 | 7,788,365 | 63.32 | 1.59 | 0.01 | 1.59±0.01 | |||||||||||||||||||||||||
| 82 | Machine operators, assemblers, inspectors | 2: Male | 18,476 | 4,715,724 | 65.29 | 1.54 | 0.01 | 1.54±0.01 | |||||||||||||||||||||||||
| 83 | Machine operators, assemblers, inspectors | 3: Female | 12,838 | 3,072,641 | 60.29 | 1.66 | 0.02 | 1.66±0.02 | |||||||||||||||||||||||||
| 84 | Machine operators, assemblers, inspectors | 4: White | 24,782 | 6,328,597 | 61.98 | 1.60 | 0.01 | 1.60±0.01 | |||||||||||||||||||||||||
| 85 | Machine operators, assemblers, inspectors | 5: Black | 5,270 | 1,131,586 | 67.42 | 1.55 | 0.03 | 1.55±0.03 | |||||||||||||||||||||||||
| 86 | Machine operators, assemblers, inspectors | 6: Other | 1,262 | 328,181 | 74.93 | 1.48 | 0.04 | 1.48±0.04 | |||||||||||||||||||||||||
| 87 | Machine operators, assemblers, inspectors | 7: Hispanic | 3,834 | 958,928 | 75.07 | 1.51 | 0.03 | 1.51±0.03 | |||||||||||||||||||||||||
| 88 | Machine operators, assemblers, inspectors | 8: NonHispanic | 27,480 | 6,829,437 | 61.67 | 1.60 | 0.01 | 1.60±0.01 | |||||||||||||||||||||||||
| 89 | Transportation/ material moving | 1: Total | 19,047 | 4,800,417 | 64.56 | 1.57 | 0.01 | 1.57±0.01 | |||||||||||||||||||||||||
| 90 | Transportation/ material moving | 2: Male | 17,177 | 4,354,367 | 65.39 | 1.56 | 0.01 | 1.56±0.01 | |||||||||||||||||||||||||
| 91 | Transportation/ material moving | 3: Female | 1,870 | 446,050 | 56.54 | 1.67 | 0.04 | 1.67±0.04 | |||||||||||||||||||||||||
| 92 | Transportation/ material moving | 4: White | 15,491 | 3,986,956 | 63.38 | 1.58 | 0.01 | 1.58±0.01 | |||||||||||||||||||||||||
| 93 | Transportation/ material moving | 5: Black | 3,147 | 701,955 | 69.95 | 1.51 | 0.04 | 1.51±0.03 | |||||||||||||||||||||||||
| 94 | Transportation/ material moving | 6: Other | 409 | 111,505 | 73.04 | 1.73 | 0.13 | 1.73±0.13 | |||||||||||||||||||||||||
| 95 | Transportation/ material moving | 7: Hispanic | 1,424 | 371,480 | 71.45 | 1.45 | 0.05 | 1.45±0.05 | |||||||||||||||||||||||||
| 96 | Transportation/ material moving | 8: NonHispanic | 17,623 | 4,428,937 | 63.99 | 1.58 | 0.01 | 1.58±0.01 | |||||||||||||||||||||||||
| 97 | Handlers, equipment cleaners, helpers, laborers | 1: Total | 16,224 | 4,107,698 | 67.53 | 1.52 | 0.01 | 1.52±0.01 | |||||||||||||||||||||||||
| 98 | Handlers, equipment cleaners, helpers, laborers | 2: Male | 12,871 | 3,303,332 | 69.16 | 1.48 | 0.01 | 1.48±0.01 | |||||||||||||||||||||||||
| 99 | Handlers, equipment cleaners, helpers, laborers | 3: Female | 3,353 | 804,365 | 60.87 | 1.61 | 0.03 | 1.61±0.03 | |||||||||||||||||||||||||
| 100 | Handlers, equipment cleaners, helpers, laborers | 4: White | 12,766 | 3,319,724 | 66.31 | 1.52 | 0.01 | 1.52±0.01 | |||||||||||||||||||||||||
| 101 | Handlers, equipment cleaners, helpers, laborers | 5: Black | 3,001 | 661,495 | 73.20 | 1.46 | 0.03 | 1.46±0.03 | |||||||||||||||||||||||||
| 102 | Handlers, equipment cleaners, helpers, laborers | 6: Other | 457 | 126,479 | 70.17 | 1.51 | 0.07 | 1.51±0.07 | |||||||||||||||||||||||||
| 103 | Handlers, equipment cleaners, helpers, laborers | 7: Hispanic | 1,896 | 490,612 | 76.38 | 1.43 | 0.04 | 1.43±0.04 | |||||||||||||||||||||||||
| 104 | Handlers, equipment cleaners, helpers, laborers | 8: NonHispanic | 14,328 | 3,617,086 | 66.33 | 1.52 | 0.01 | 1.52±0.01 | |||||||||||||||||||||||||