| Table 11. Crude and Age Adjusted Diabetes Mortality Rate/100,000
Person Years (+/- SE) among 13 Occupations by Socio-Demographic Subgroups |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Occupation 13 Classes |
Group |
Estimated
US Worker Population |
Mortality
Follow Up Sample Size |
Total
Deaths |
Diabetes
Deaths |
Crude
Diabetes Death Rate |
Crude
Diabetes Death Rate SE |
Age Adjusted Diabetes Death
Rate |
Age
Adjusted Diabetes Death Rate SE |
|
|
| All Workers |
|
114,093,524 |
440,245 |
12,124 |
251 |
8 |
1 |
18 |
2 |
|
|
| Executive,
administrative managerial |
1: Total |
15,855,350 |
60,414 |
1,618 |
33 |
7 |
2 |
20 |
10 |
|
|
|
| Executive,
administrative managerial |
2: Male |
9,485,959 |
35,404 |
1,227 |
29 |
10 |
2 |
15 |
4 |
|
| Executive,
administrative managerial |
3: Female |
6,369,391 |
25,010 |
391 |
4 |
3 |
1 |
30 |
27 |
|
| Executive,
administrative managerial |
4: White |
14,340,387 |
54,259 |
1,454 |
30 |
8 |
2 |
20 |
10 |
|
| Executive,
administrative managerial |
5: Black |
982,642 |
4,209 |
135 |
3 |
8 |
5 |
7 |
5 |
|
| Executive,
administrative managerial |
6: Other |
532,322 |
1,946 |
29 |
0 |
0 |
0 |
0 |
0 |
|
| Executive,
administrative managerial |
7: Hispanic |
769,548 |
2,872 |
65 |
7 |
31 |
12 |
79 |
47 |
|
| Executive,
administrative managerial |
8: NonHispanic |
15,085,802 |
57,542 |
1,553 |
26 |
6 |
2 |
18 |
10 |
|
| Professional
specialty |
1: Total |
16,283,334 |
62,176 |
1,230 |
28 |
6 |
1 |
13 |
4 |
|
| Professional
specialty |
2: Male |
7,917,667 |
29,306 |
781 |
13 |
5 |
2 |
14 |
5 |
|
| Professional
specialty |
3: Female |
8,365,667 |
32,870 |
449 |
15 |
6 |
2 |
8 |
3 |
|
| Professional
specialty |
4: White |
14,342,393 |
54,288 |
1,031 |
23 |
5 |
1 |
13 |
4 |
|
| Professional
specialty |
5: Black |
1,221,598 |
5,269 |
168 |
5 |
10 |
5 |
14 |
8 |
|
| Professional
specialty |
6: Other |
719,343 |
2,619 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| Professional
specialty |
7: Hispanic |
671,176 |
2,495 |
45 |
0 |
0 |
0 |
0 |
0 |
|
| Professional
specialty |
8: NonHispanic |
15,612,158 |
59,681 |
1,185 |
28 |
6 |
1 |
13 |
4 |
|
| Technicians/related
support |
1: Total |
4,016,229 |
15,336 |
260 |
6 |
4 |
2 |
5 |
2 |
|
| Technicians/related
support |
2: Male |
2,077,866 |
7,634 |
172 |
2 |
3 |
2 |
5 |
3 |
|
| Technicians/related
support |
3: Female |
1,938,363 |
7,702 |
88 |
4 |
5 |
3 |
5 |
3 |
|
| Technicians/related
support |
4: White |
3,396,239 |
12,758 |
208 |
4 |
4 |
2 |
4 |
2 |
|
| Technicians/related
support |
5: Black |
389,861 |
1,747 |
47 |
2 |
12 |
11 |
14 |
13 |
|
| Technicians/related
support |
6: Other |
230,129 |
831 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| Technicians/related
support |
7: Hispanic |
235,511 |
866 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| Technicians/related
support |
8: NonHispanic |
3,780,718 |
14,470 |
253 |
6 |
4 |
2 |
5 |
2 |
|
| Sales |
1: Total |
13,092,640 |
49,620 |
1,354 |
32 |
10 |
2 |
27 |
8 |
|
| Sales |
2: Male |
6,727,869 |
24,877 |
913 |
24 |
13 |
3 |
42 |
13 |
|
| Sales |
3: Female |
6,364,770 |
24,743 |
441 |
8 |
6 |
2 |
6 |
2 |
|
| Sales |
4: White |
11,750,648 |
44,190 |
1,236 |
27 |
9 |
2 |
26 |
8 |
|
| Sales |
5: Black |
889,149 |
3,832 |
88 |
5 |
17 |
8 |
64 |
48 |
|
| Sales |
6: Other |
452,842 |
1,598 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| Sales |
7: Hispanic |
806,791 |
3,050 |
60 |
2 |
30 |
20 |
38 |
26 |
|
| Sales |
8: NonHispanic |
12,285,848 |
46,570 |
1,294 |
30 |
8 |
2 |
26 |
8 |
|
| Administrative
support occs, including clerical |
1: Total |
17,540,987 |
68,299 |
1,459 |
32 |
7 |
1 |
35 |
14 |
|
| Administrative
support occs, including clerical |
2: Male |
3,718,137 |
13,797 |
489 |
15 |
18 |
5 |
54 |
22 |
|
| Administrative
support occs, including clerical |
3: Female |
13,822,850 |
54,502 |
970 |
17 |
5 |
1 |
30 |
20 |
|
| Administrative
support occs, including clerical |
4: White |
14,978,842 |
57,072 |
1,228 |
31 |
8 |
2 |
35 |
15 |
|
| Administrative
support occs, including clerical |
5: Black |
1,973,463 |
9,126 |
197 |
1 |
2 |
2 |
33 |
33 |
|
| Administrative
support occs, including clerical |
6: Other |
588,682 |
2,101 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| Administrative
support occs, including clerical |
7: Hispanic |
1,234,827 |
4,693 |
81 |
4 |
13 |
7 |
16 |
10 |
|
| Administrative
support occs, including clerical |
8: NonHispanic |
16,306,160 |
63,606 |
1,378 |
28 |
7 |
1 |
35 |
14 |
|
| Private
household |
1: Total |
761,954 |
3,249 |
159 |
4 |
18 |
8 |
18 |
9 |
|
| Private
household |
2: Male |
36,030 |
141 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| Private
household |
3: Female |
725,924 |
3,108 |
149 |
4 |
18 |
9 |
19 |
9 |
|
| Private
household |
4: White |
525,115 |
2,039 |
68 |
1 |
6 |
6 |
6 |
6 |
|
| Private
household |
5: Black |
215,855 |
1,137 |
88 |
3 |
46 |
28 |
34 |
22 |
|
| Private
household |
6: Other |
20,984 |
73 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| Private
household |
7: Hispanic |
128,949 |
511 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| Private
household |
8: NonHispanic |
633,005 |
2,738 |
154 |
4 |
21 |
10 |
21 |
10 |
|
| Protective
service |
1: Total |
1,950,907 |
7,392 |
275 |
8 |
16 |
6 |
23 |
9 |
|
| Protective
service |
2: Male |
1,659,846 |
6,208 |
256 |
8 |
18 |
7 |
26 |
10 |
|
| Protective
service |
3: Female |
291,060 |
1,184 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| Protective
service |
4: White |
1,569,239 |
5,802 |
212 |
6 |
16 |
7 |
25 |
11 |
|
| Protective
service |
5: Black |
335,730 |
1,432 |
59 |
2 |
19 |
15 |
18 |
13 |
|
| Protective
service |
6: Other |
45,937 |
158 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| Protective
service |
7: Hispanic |
132,169 |
488 |
16 |
2 |
60 |
44 |
157 |
116 |
|
| Protective
service |
8: NonHispanic |
1,818,737 |
6,904 |
259 |
6 |
13 |
6 |
17 |
8 |
|
| Service occs,
except protective/household |
1: Total |
11,749,273 |
46,880 |
1,440 |
35 |
9 |
1 |
11 |
2 |
|
| Service occs,
except protective/household |
2: Male |
4,035,235 |
15,396 |
700 |
11 |
8 |
2 |
10 |
3 |
|
| Service occs,
except protective/household |
3: Female |
7,714,037 |
31,484 |
740 |
24 |
9 |
2 |
11 |
2 |
|
| Service occs,
except protective/household |
4: White |
9,074,782 |
34,647 |
952 |
23 |
8 |
2 |
10 |
2 |
|
| Service occs,
except protective/household |
5: Black |
2,080,803 |
10,150 |
442 |
11 |
12 |
4 |
13 |
5 |
|
| Service occs,
except protective/household |
6: Other |
593,688 |
2,083 |
46 |
1 |
9 |
8 |
9 |
9 |
|
| Service occs,
except protective/household |
7: Hispanic |
1,278,089 |
4,915 |
122 |
4 |
9 |
4 |
24 |
13 |
|
| Service occs,
except protective/household |
8: NonHispanic |
10,471,184 |
41,965 |
1,318 |
31 |
8 |
2 |
10 |
2 |
|
| Farming,
forestry, fishing |
1: Total |
3,215,669 |
12,651 |
700 |
8 |
10 |
4 |
11 |
4 |
|
| Farming,
forestry, fishing |
2: Male |
2,682,794 |
10,499 |
631 |
6 |
8 |
4 |
8 |
4 |
|
| Farming,
forestry, fishing |
3: Female |
532,875 |
2,152 |
69 |
2 |
18 |
13 |
29 |
22 |
|
| Farming,
forestry, fishing |
4: White |
2,952,108 |
11,571 |
616 |
5 |
6 |
3 |
8 |
4 |
|
| Farming,
forestry, fishing |
5: Black |
208,654 |
875 |
75 |
2 |
47 |
38 |
47 |
36 |
|
| Farming,
forestry, fishing |
6: Other |
54,907 |
205 |
9 |
1 |
49 |
48 |
30 |
29 |
|
| Farming,
forestry, fishing |
7: Hispanic |
421,398 |
1,625 |
47 |
0 |
0 |
0 |
0 |
0 |
|
| Farming,
forestry, fishing |
8: NonHispanic |
2,794,271 |
11,026 |
653 |
8 |
11 |
4 |
12 |
5 |
|
| Precision
production, craft, repair |
1: Total |
12,930,703 |
49,089 |
1,544 |
28 |
7 |
1 |
23 |
8 |
|
| Precision
production, craft, repair |
2: Male |
11,784,674 |
44,487 |
1,460 |
27 |
7 |
1 |
18 |
5 |
|
| Precision
production, craft, repair |
3: Female |
1,146,029 |
4,602 |
84 |
1 |
5 |
5 |
45 |
45 |
|
| Precision
production, craft, repair |
4: White |
11,557,990 |
43,373 |
1,286 |
21 |
6 |
1 |
22 |
9 |
|
| Precision
production, craft, repair |
5: Black |
996,058 |
4,376 |
218 |
7 |
19 |
8 |
31 |
17 |
|
| Precision
production, craft, repair |
6: Other |
376,655 |
1,340 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| Precision
production, craft, repair |
7: Hispanic |
1,107,415 |
4,160 |
104 |
3 |
8 |
5 |
11 |
7 |
|
| Precision
production, craft, repair |
8: NonHispanic |
11,823,288 |
44,929 |
1,440 |
25 |
7 |
1 |
23 |
9 |
|
| Machine
operators, assemblers, inspectors |
1: Total |
7,788,365 |
30,676 |
844 |
16 |
7 |
2 |
19 |
10 |
|
| Machine
operators, assemblers, inspectors |
2: Male |
4,715,724 |
18,094 |
552 |
13 |
9 |
2 |
17 |
8 |
|
| Machine
operators, assemblers, inspectors |
3: Female |
3,072,641 |
12,582 |
292 |
3 |
4 |
3 |
21 |
19 |
|
| Machine
operators, assemblers, inspectors |
4: White |
6,328,597 |
24,288 |
623 |
15 |
8 |
2 |
22 |
12 |
|
| Machine
operators, assemblers, inspectors |
5: Black |
1,131,586 |
5,166 |
197 |
1 |
4 |
4 |
3 |
3 |
|
| Machine
operators, assemblers, inspectors |
6: Other |
328,181 |
1,222 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| Machine
operators, assemblers, inspectors |
7: Hispanic |
958,928 |
3,769 |
102 |
3 |
9 |
6 |
11 |
7 |
|
| Machine
operators, assemblers, inspectors |
8: NonHispanic |
6,829,437 |
26,907 |
742 |
13 |
7 |
2 |
19 |
11 |
|
| Transportation/
material moving |
1: Total |
4,800,417 |
18,605 |
712 |
16 |
10 |
3 |
10 |
3 |
|
| Transportation/
material moving |
2: Male |
4,354,367 |
16,765 |
680 |
16 |
11 |
3 |
11 |
3 |
|
| Transportation/
material moving |
3: Female |
446,050 |
1,840 |
32 |
0 |
0 |
0 |
0 |
0 |
|
| Transportation/
material moving |
4: White |
3,986,956 |
15,121 |
544 |
10 |
9 |
3 |
9 |
3 |
|
| Transportation/
material moving |
5: Black |
701,955 |
3,087 |
155 |
6 |
22 |
9 |
19 |
8 |
|
| Transportation/
material moving |
6: Other |
111,505 |
397 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| Transportation/
material moving |
7: Hispanic |
371,480 |
1,392 |
40 |
2 |
18 |
12 |
14 |
10 |
|
| Transportation/
material moving |
8: NonHispanic |
4,428,937 |
17,213 |
672 |
14 |
10 |
3 |
10 |
3 |
|
| Handlers,
equipment cleaners, helpers, laborers |
1: Total |
4,107,698 |
15,858 |
529 |
5 |
3 |
2 |
4 |
2 |
|
| Handlers,
equipment cleaners, helpers, laborers |
2: Male |
3,303,332 |
12,571 |
467 |
3 |
2 |
1 |
2 |
2 |
|
| Handlers,
equipment cleaners, helpers, laborers |
3: Female |
804,365 |
3,287 |
62 |
2 |
8 |
8 |
8 |
8 |
|
| Handlers, equipment cleaners, helpers, laborers |
4: White |
3,319,724 |
12,475 |
365 |
0 |
0 |
0 |
0 |
0 |
|
| Handlers,
equipment cleaners, helpers, laborers |
5: Black |
661,495 |
2,940 |
150 |
5 |
18 |
10 |
21 |
12 |
|
| Handlers,
equipment cleaners, helpers, laborers |
6: Other |
126,479 |
443 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| Handlers,
equipment cleaners, helpers, laborers |
7: Hispanic |
490,612 |
1,846 |
47 |
0 |
0 |
0 |
0 |
0 |
|
| Handlers,
equipment cleaners, helpers, laborers |
8: NonHispanic |
3,617,086 |
14,012 |
482 |
5 |
3 |
2 |
5 |
3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|