| Table 11. Crude and Age Adjusted Diabetes Mortality Rate/100,000
Person Years (+/- SE) among 206 Occupations by Socio-Demographic Subgroups |
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| US Census Occupational Code (206 ONLY) |
Occupation
206 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 |
|
|
| 5 |
Administrators/officials, public
administration |
1: Total |
434,916 |
1,700 |
52 |
4 |
168 |
98 |
187 |
109 |
|
| 5 |
Administrators/officials,
public administration |
2: Male |
237,832 |
900 |
36 |
3 |
291 |
178 |
314 |
188 |
|
| 5 |
Administrators/officials,
public administration |
3: Female |
197,084 |
800 |
16 |
1 |
16 |
16 |
11 |
11 |
|
| 5 |
Administrators/officials,
public administration |
4: White |
377,045 |
1,454 |
45 |
4 |
194 |
113 |
196 |
113 |
|
| 5 |
Administrators/officials,
public administration |
5: Black |
40,408 |
183 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 5 |
Administrators/officials,
public administration |
6: Other |
17,464 |
63 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 5 |
Administrators/officials,
public administration |
7: Hispanic |
19,368 |
72 |
3 |
1 |
1,265 |
1,269 |
1,557 |
1,478 |
|
| 5 |
Administrators/officials,
public administration |
8: NonHispanic |
415,549 |
1,628 |
49 |
3 |
113 |
81 |
137 |
98 |
|
| 7 |
Financial managers |
1: Total |
516,489 |
2,009 |
46 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
2: Male |
290,553 |
1,096 |
33 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
3: Female |
225,936 |
913 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
4: White |
470,184 |
1,830 |
45 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
5: Black |
27,663 |
115 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
6: Other |
18,642 |
64 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
7: Hispanic |
23,398 |
91 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 7 |
Financial managers |
8: NonHispanic |
493,091 |
1,918 |
42 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
1: Total |
145,879 |
555 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
2: Male |
70,491 |
264 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
3: Female |
75,389 |
291 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
4: White |
133,270 |
500 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
5: Black |
9,918 |
45 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
6: Other |
2,691 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
7: Hispanic |
4,976 |
19 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 8 |
Personnel and labor
relations managers |
8: NonHispanic |
140,903 |
536 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
1: Total |
122,582 |
471 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
2: Male |
80,853 |
299 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
3: Female |
41,729 |
172 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
4: White |
108,587 |
417 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
5: Black |
10,684 |
41 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
6: Other |
3,311 |
13 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
7: Hispanic |
1,684 |
7 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 9 |
Purchasing managers |
8: NonHispanic |
120,898 |
464 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
1: Total |
637,557 |
2,446 |
41 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
2: Male |
435,903 |
1,655 |
32 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
3: Female |
201,654 |
791 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
4: White |
598,994 |
2,305 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
5: Black |
24,634 |
93 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
6: Other |
13,929 |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
7: Hispanic |
24,947 |
85 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 13 |
Managers/marketing/advertising/PR |
8: NonHispanic |
612,611 |
2,361 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
1: Total |
532,733 |
2,082 |
44 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
2: Male |
250,290 |
957 |
28 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
3: Female |
282,442 |
1,125 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
4: White |
463,963 |
1,789 |
37 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
5: Black |
58,624 |
255 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
6: Other |
10,146 |
38 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
7: Hispanic |
20,122 |
82 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 14 |
Administrators,
education and related fields |
8: NonHispanic |
512,610 |
2,000 |
42 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
1: Total |
257,406 |
981 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
2: Male |
80,541 |
295 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
3: Female |
176,865 |
686 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
4: White |
225,557 |
846 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
5: Black |
24,524 |
106 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
6: Other |
7,325 |
29 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
7: Hispanic |
11,755 |
43 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 15 |
Managers, medicine
and health |
8: NonHispanic |
245,651 |
938 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 18 |
Managers, properties
and real estate |
1: Total |
424,823 |
1,608 |
84 |
2 |
84 |
74 |
91 |
82 |
|
| 18 |
Managers, properties
and real estate |
2: Male |
228,170 |
847 |
59 |
2 |
159 |
140 |
158 |
139 |
|
| 18 |
Managers, properties
and real estate |
3: Female |
196,652 |
761 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 18 |
Managers, properties
and real estate |
4: White |
384,861 |
1,442 |
79 |
1 |
80 |
80 |
84 |
84 |
|
| 18 |
Managers, properties
and real estate |
5: Black |
29,675 |
131 |
4 |
1 |
163 |
164 |
104 |
104 |
|
| 18 |
Managers, properties
and real estate |
6: Other |
10,286 |
35 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 18 |
Managers, properties
and real estate |
7: Hispanic |
24,180 |
94 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 18 |
Managers, properties
and real estate |
8: NonHispanic |
400,643 |
1,514 |
80 |
2 |
89 |
78 |
93 |
83 |
|
| 22 |
Managers and
administrators |
1: Total |
8,609,388 |
32,649 |
945 |
16 |
45 |
15 |
145 |
103 |
|
| 22 |
Managers and
administrators |
2: Male |
5,760,962 |
21,497 |
746 |
13 |
55 |
20 |
51 |
23 |
|
| 22 |
Managers and
administrators |
3: Female |
2,848,426 |
11,152 |
199 |
3 |
24 |
17 |
425 |
360 |
|
| 22 |
Managers and
administrators |
4: White |
7,891,127 |
29,748 |
846 |
14 |
43 |
15 |
145 |
105 |
|
| 22 |
Managers and
administrators |
5: Black |
437,418 |
1,867 |
79 |
2 |
105 |
74 |
88 |
64 |
|
| 22 |
Managers and
administrators |
6: Other |
280,842 |
1,034 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 22 |
Managers and
administrators |
7: Hispanic |
424,777 |
1,581 |
31 |
2 |
95 |
72 |
96 |
71 |
|
| 22 |
Managers and
administrators |
8: NonHispanic |
8,184,610 |
31,068 |
914 |
14 |
43 |
15 |
144 |
105 |
|
| 23 |
Accountants and
auditors |
1: Total |
1,449,425 |
5,490 |
104 |
2 |
23 |
17 |
26 |
21 |
|
| 23 |
Accountants and
auditors |
2: Male |
700,754 |
2,561 |
81 |
2 |
46 |
35 |
50 |
40 |
|
| 23 |
Accountants and
auditors |
3: Female |
748,671 |
2,929 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 23 |
Accountants and
auditors |
4: White |
1,258,209 |
4,739 |
91 |
2 |
26 |
20 |
29 |
23 |
|
| 23 |
Accountants and
auditors |
5: Black |
106,603 |
446 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 23 |
Accountants and
auditors |
6: Other |
84,613 |
305 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 23 |
Accountants and
auditors |
7: Hispanic |
69,340 |
260 |
5 |
1 |
335 |
335 |
425 |
404 |
|
| 23 |
Accountants and
auditors |
8: NonHispanic |
1,380,086 |
5,230 |
99 |
1 |
7 |
7 |
7 |
7 |
|
| 25 |
Other financial
officers |
1: Total |
727,887 |
2,767 |
62 |
3 |
103 |
61 |
154 |
113 |
|
| 25 |
Other financial
officers |
2: Male |
375,925 |
1,389 |
40 |
3 |
198 |
118 |
244 |
165 |
|
| 25 |
Other financial
officers |
3: Female |
351,962 |
1,378 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 25 |
Other financial
officers |
4: White |
655,800 |
2,482 |
55 |
3 |
113 |
67 |
163 |
117 |
|
| 25 |
Other financial
officers |
5: Black |
44,236 |
182 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 25 |
Other financial
officers |
6: Other |
27,850 |
103 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 25 |
Other financial
officers |
7: Hispanic |
41,048 |
150 |
2 |
2 |
1,098 |
821 |
1,139 |
908 |
|
| 25 |
Other financial
officers |
8: NonHispanic |
686,838 |
2,617 |
60 |
1 |
44 |
44 |
109 |
108 |
|
| 26 |
Management analysts |
1: Total |
207,706 |
797 |
32 |
1 |
157 |
157 |
166 |
161 |
|
| 26 |
Management analysts |
2: Male |
137,577 |
508 |
26 |
1 |
242 |
241 |
188 |
184 |
|
| 26 |
Management analysts |
3: Female |
70,129 |
289 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 26 |
Management analysts |
4: White |
190,942 |
724 |
31 |
1 |
170 |
169 |
172 |
166 |
|
| 26 |
Management analysts |
5: Black |
9,673 |
48 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 26 |
Management analysts |
6: Other |
7,090 |
25 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 26 |
Management analysts |
7: Hispanic |
6,690 |
24 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 26 |
Management analysts |
8: NonHispanic |
201,016 |
773 |
30 |
1 |
162 |
162 |
169 |
164 |
|
| 27 |
Personnel/training/labor
relations specialists |
1: Total |
429,136 |
1,665 |
36 |
4 |
224 |
139 |
376 |
269 |
|
| 27 |
Personnel/training/labor
relations specialists |
2: Male |
184,738 |
700 |
26 |
4 |
523 |
323 |
786 |
553 |
|
| 27 |
Personnel/training/labor
relations specialists |
3: Female |
244,398 |
965 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 27 |
Personnel/training/labor
relations specialists |
4: White |
368,799 |
1,411 |
35 |
4 |
260 |
161 |
416 |
292 |
|
| 27 |
Personnel/training/labor
relations specialists |
5: Black |
50,123 |
214 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 27 |
Personnel/training/labor
relations specialists |
6: Other |
10,214 |
40 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 27 |
Personnel/training/labor
relations specialists |
7: Hispanic |
23,144 |
88 |
1 |
1 |
1,012 |
989 |
6,650 |
2,006 |
|
| 27 |
Personnel/training/labor
relations specialists |
8: NonHispanic |
405,992 |
1,577 |
35 |
3 |
180 |
135 |
133 |
95 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
1: Total |
191,990 |
721 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
2: Male |
84,773 |
317 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
3: Female |
107,217 |
404 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
4: White |
182,261 |
684 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
5: Black |
5,199 |
23 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
6: Other |
4,530 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
7: Hispanic |
11,166 |
42 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 29 |
Buyers,
wholesale/retail trade except farm products |
8: NonHispanic |
180,824 |
679 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
1: Total |
260,021 |
981 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
2: Male |
135,805 |
510 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
3: Female |
124,216 |
471 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
4: White |
240,255 |
896 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
5: Black |
16,511 |
71 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
6: Other |
3,255 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
7: Hispanic |
11,359 |
41 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 33 |
Purchasing agents and
buyers |
8: NonHispanic |
248,662 |
940 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
1: Total |
183,364 |
700 |
28 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
2: Male |
126,705 |
479 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
3: Female |
56,659 |
221 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
4: White |
155,299 |
586 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
5: Black |
22,404 |
96 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
6: Other |
5,661 |
18 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
7: Hispanic |
12,274 |
43 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 36 |
Inspectors/compliance
officers, except construction |
8: NonHispanic |
171,090 |
657 |
26 |
0 |
0 |
0 |
0 |
0 |
|
| 37 |
Management related
occs |
1: Total |
371,203 |
1,442 |
19 |
1 |
72 |
72 |
64 |
64 |
|
| 37 |
Management related
occs |
2: Male |
57,908 |
213 |
4 |
1 |
422 |
420 |
423 |
417 |
|
| 37 |
Management related
occs |
3: Female |
313,295 |
1,229 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 37 |
Management related
occs |
4: White |
319,117 |
1,216 |
17 |
1 |
84 |
83 |
71 |
71 |
|
| 37 |
Management related
occs |
5: Black |
36,745 |
167 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 37 |
Management related
occs |
6: Other |
15,341 |
59 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 37 |
Management related
occs |
7: Hispanic |
21,261 |
82 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 37 |
Management related
occs |
8: NonHispanic |
349,942 |
1,360 |
17 |
1 |
76 |
76 |
65 |
65 |
|
| 43 |
Architects |
1: Total |
176,710 |
665 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
2: Male |
153,567 |
574 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
3: Female |
23,143 |
91 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
4: White |
162,108 |
609 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
5: Black |
6,366 |
23 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
6: Other |
8,236 |
33 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
7: Hispanic |
12,774 |
50 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 43 |
Architects |
8: NonHispanic |
163,936 |
615 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
1: Total |
115,384 |
439 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
2: Male |
108,773 |
413 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
3: Female |
6,612 |
26 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
4: White |
104,395 |
397 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
5: Black |
2,570 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
6: Other |
8,418 |
32 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
7: Hispanic |
3,735 |
13 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 44 |
Aerospace |
8: NonHispanic |
111,649 |
426 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
1: Total |
264,614 |
980 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
2: Male |
248,854 |
918 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
3: Female |
15,759 |
62 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
4: White |
233,004 |
863 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
5: Black |
11,165 |
42 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
6: Other |
20,444 |
75 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
7: Hispanic |
13,090 |
47 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 53 |
Civil |
8: NonHispanic |
251,524 |
933 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
1: Total |
592,715 |
2,204 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
2: Male |
543,197 |
2,011 |
33 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
3: Female |
49,518 |
193 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
4: White |
518,640 |
1,927 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
5: Black |
28,944 |
106 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
6: Other |
45,131 |
171 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
7: Hispanic |
20,764 |
81 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 55 |
Electrical and
electronic |
8: NonHispanic |
571,951 |
2,123 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
1: Total |
234,775 |
901 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
2: Male |
200,847 |
763 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
3: Female |
33,928 |
138 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
4: White |
210,888 |
807 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
5: Black |
11,813 |
50 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
6: Other |
12,074 |
44 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
7: Hispanic |
7,319 |
24 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 56 |
Industrial |
8: NonHispanic |
227,456 |
877 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
1: Total |
330,773 |
1,211 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
2: Male |
315,885 |
1,154 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
3: Female |
14,888 |
57 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
4: White |
293,040 |
1,085 |
26 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
5: Black |
15,201 |
46 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
6: Other |
22,532 |
80 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
7: Hispanic |
9,655 |
34 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 57 |
Mechanical |
8: NonHispanic |
321,118 |
1,177 |
29 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
1: Total |
285,379 |
1,050 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
2: Male |
262,140 |
956 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
3: Female |
23,239 |
94 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
4: White |
254,567 |
928 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
5: Black |
9,368 |
38 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
6: Other |
21,444 |
84 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
7: Hispanic |
10,556 |
41 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 59 |
Engineers |
8: NonHispanic |
274,823 |
1,009 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
1: Total |
564,743 |
2,099 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
2: Male |
393,336 |
1,456 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
3: Female |
171,407 |
643 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
4: White |
484,823 |
1,797 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
5: Black |
39,421 |
153 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
6: Other |
40,500 |
149 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
7: Hispanic |
17,252 |
63 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 64 |
Computer systems
analysts and scientists |
8: NonHispanic |
547,491 |
2,036 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
1: Total |
279,844 |
1,054 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
2: Male |
163,791 |
593 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
3: Female |
116,053 |
461 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
4: White |
241,287 |
906 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
5: Black |
25,216 |
97 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
6: Other |
13,341 |
51 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
7: Hispanic |
11,394 |
45 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 65 |
Operations/systems
researchers and analysts |
8: NonHispanic |
268,451 |
1,009 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
1: Total |
124,271 |
463 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
2: Male |
95,013 |
348 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
3: Female |
29,258 |
115 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
4: White |
102,713 |
381 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
5: Black |
7,721 |
30 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
6: Other |
13,837 |
52 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
7: Hispanic |
4,617 |
18 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 73 |
Chemists, except
biochemists |
8: NonHispanic |
119,654 |
445 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 84 |
Physicians |
1: Total |
564,555 |
2,090 |
60 |
1 |
23 |
23 |
63 |
62 |
|
| 84 |
Physicians |
2: Male |
444,900 |
1,620 |
50 |
1 |
29 |
29 |
71 |
71 |
|
| 84 |
Physicians |
3: Female |
119,655 |
470 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 84 |
Physicians |
4: White |
478,408 |
1,773 |
55 |
1 |
27 |
27 |
64 |
64 |
|
| 84 |
Physicians |
5: Black |
24,627 |
90 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 84 |
Physicians |
6: Other |
61,520 |
227 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 84 |
Physicians |
7: Hispanic |
34,042 |
118 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 84 |
Physicians |
8: NonHispanic |
530,513 |
1,972 |
58 |
1 |
25 |
24 |
68 |
67 |
|
| 85 |
Dentists |
1: Total |
139,120 |
529 |
11 |
1 |
143 |
142 |
123 |
124 |
|
| 85 |
Dentists |
2: Male |
121,213 |
460 |
11 |
1 |
162 |
161 |
124 |
124 |
|
| 85 |
Dentists |
3: Female |
17,908 |
69 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 85 |
Dentists |
4: White |
126,000 |
480 |
11 |
1 |
157 |
156 |
128 |
128 |
|
| 85 |
Dentists |
5: Black |
4,094 |
16 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 85 |
Dentists |
6: Other |
9,026 |
33 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 85 |
Dentists |
7: Hispanic |
3,889 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 85 |
Dentists |
8: NonHispanic |
135,231 |
515 |
11 |
1 |
146 |
146 |
124 |
124 |
|
| 95 |
Registered nurses |
1: Total |
1,799,165 |
7,108 |
99 |
4 |
36 |
20 |
36 |
21 |
|
| 95 |
Registered nurses |
2: Male |
92,522 |
353 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 95 |
Registered nurses |
3: Female |
1,706,643 |
6,755 |
96 |
4 |
37 |
21 |
37 |
22 |
|
| 95 |
Registered nurses |
4: White |
1,537,400 |
5,968 |
74 |
3 |
37 |
23 |
37 |
24 |
|
| 95 |
Registered nurses |
5: Black |
172,626 |
792 |
22 |
1 |
36 |
36 |
33 |
33 |
|
| 95 |
Registered nurses |
6: Other |
89,139 |
348 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 95 |
Registered nurses |
7: Hispanic |
57,372 |
223 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 95 |
Registered nurses |
8: NonHispanic |
1,741,793 |
6,885 |
96 |
4 |
37 |
21 |
36 |
22 |
|
| 96 |
Pharmacists |
1: Total |
164,795 |
617 |
20 |
1 |
43 |
43 |
25 |
25 |
|
| 96 |
Pharmacists |
2: Male |
96,449 |
363 |
18 |
1 |
70 |
70 |
60 |
57 |
|
| 96 |
Pharmacists |
3: Female |
68,346 |
254 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 96 |
Pharmacists |
4: White |
148,253 |
558 |
18 |
1 |
47 |
47 |
29 |
28 |
|
| 96 |
Pharmacists |
5: Black |
4,373 |
18 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 96 |
Pharmacists |
6: Other |
12,169 |
41 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 96 |
Pharmacists |
7: Hispanic |
5,287 |
21 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 96 |
Pharmacists |
8: NonHispanic |
159,508 |
596 |
18 |
1 |
44 |
44 |
26 |
26 |
|
| 97 |
Dietitians |
1: Total |
105,770 |
416 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
2: Male |
13,150 |
50 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
3: Female |
92,621 |
366 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
4: White |
76,547 |
289 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
5: Black |
22,571 |
106 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
6: Other |
6,653 |
21 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
7: Hispanic |
7,683 |
23 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 97 |
Dietitians |
8: NonHispanic |
98,087 |
393 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
1: Total |
225,123 |
865 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
2: Male |
128,234 |
481 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
3: Female |
96,889 |
384 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
4: White |
177,407 |
681 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
5: Black |
15,509 |
65 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
6: Other |
32,207 |
119 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
7: Hispanic |
8,057 |
24 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 154 |
Postsecondary
teachers, subject unspecified |
8: NonHispanic |
217,066 |
841 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
1: Total |
408,944 |
1,617 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
2: Male |
6,290 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
3: Female |
402,653 |
1,595 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
4: White |
344,094 |
1,324 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
5: Black |
52,578 |
251 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
6: Other |
12,272 |
42 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
7: Hispanic |
25,558 |
97 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 155 |
Teachers, pre-K and K |
8: NonHispanic |
383,386 |
1,520 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 156 |
Teachers, elementary
school |
1: Total |
1,524,602 |
6,045 |
76 |
1 |
16 |
16 |
9 |
9 |
|
| 156 |
Teachers, elementary
school |
2: Male |
240,550 |
930 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 156 |
Teachers, elementary
school |
3: Female |
1,284,053 |
5,115 |
55 |
1 |
19 |
19 |
10 |
10 |
|
| 156 |
Teachers, elementary
school |
4: White |
1,361,322 |
5,295 |
53 |
1 |
18 |
18 |
10 |
10 |
|
| 156 |
Teachers, elementary
school |
5: Black |
140,683 |
666 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 156 |
Teachers, elementary
school |
6: Other |
22,597 |
84 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 156 |
Teachers, elementary
school |
7: Hispanic |
63,217 |
237 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 156 |
Teachers, elementary
school |
8: NonHispanic |
1,461,386 |
5,808 |
73 |
1 |
17 |
17 |
9 |
9 |
|
| 157 |
Teachers, secondary
school |
1: Total |
1,207,921 |
4,659 |
79 |
5 |
53 |
27 |
47 |
24 |
|
| 157 |
Teachers, secondary
school |
2: Male |
528,711 |
1,990 |
44 |
1 |
44 |
44 |
30 |
30 |
|
| 157 |
Teachers, secondary
school |
3: Female |
679,210 |
2,669 |
35 |
4 |
60 |
33 |
64 |
38 |
|
| 157 |
Teachers, secondary
school |
4: White |
1,096,317 |
4,154 |
65 |
3 |
39 |
26 |
28 |
19 |
|
| 157 |
Teachers, secondary
school |
5: Black |
93,839 |
444 |
12 |
2 |
229 |
164 |
281 |
219 |
|
| 157 |
Teachers, secondary
school |
6: Other |
17,764 |
61 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 157 |
Teachers, secondary
school |
7: Hispanic |
46,830 |
169 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 157 |
Teachers, secondary
school |
8: NonHispanic |
1,161,090 |
4,490 |
77 |
5 |
55 |
28 |
49 |
25 |
|
| 158 |
Teachers, special
education |
1: Total |
252,519 |
1,000 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
2: Male |
42,514 |
155 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
3: Female |
210,005 |
845 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
4: White |
219,377 |
862 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
5: Black |
29,254 |
124 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
6: Other |
3,887 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
7: Hispanic |
9,380 |
34 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 158 |
Teachers, special
education |
8: NonHispanic |
243,139 |
966 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 159 |
Teachers |
1: Total |
545,219 |
2,087 |
52 |
1 |
94 |
94 |
175 |
171 |
|
| 159 |
Teachers |
2: Male |
207,073 |
765 |
25 |
1 |
249 |
249 |
484 |
456 |
|
| 159 |
Teachers |
3: Female |
338,146 |
1,322 |
27 |
0 |
0 |
0 |
0 |
0 |
|
| 159 |
Teachers |
4: White |
489,427 |
1,856 |
49 |
1 |
104 |
104 |
192 |
187 |
|
| 159 |
Teachers |
5: Black |
39,796 |
172 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 159 |
Teachers |
6: Other |
15,996 |
59 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 159 |
Teachers |
7: Hispanic |
22,091 |
88 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 159 |
Teachers |
8: NonHispanic |
523,129 |
1,999 |
50 |
1 |
98 |
98 |
177 |
173 |
|
| 163 |
Counselors,
Educational and Vocational |
1: Total |
262,756 |
1,010 |
20 |
1 |
76 |
76 |
91 |
90 |
|
| 163 |
Counselors,
Educational and Vocational |
2: Male |
92,738 |
340 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 163 |
Counselors,
Educational and Vocational |
3: Female |
170,018 |
670 |
11 |
1 |
117 |
117 |
186 |
184 |
|
| 163 |
Counselors,
Educational and Vocational |
4: White |
211,544 |
805 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 163 |
Counselors,
Educational and Vocational |
5: Black |
40,618 |
172 |
5 |
1 |
478 |
475 |
565 |
555 |
|
| 163 |
Counselors,
Educational and Vocational |
6: Other |
10,594 |
33 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 163 |
Counselors,
Educational and Vocational |
7: Hispanic |
11,557 |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 163 |
Counselors,
Educational and Vocational |
8: NonHispanic |
251,198 |
962 |
20 |
1 |
79 |
79 |
92 |
92 |
|
| 164 |
Librarians |
1: Total |
185,788 |
707 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
2: Male |
27,565 |
98 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
3: Female |
158,222 |
609 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
4: White |
167,087 |
634 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
5: Black |
10,377 |
48 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
6: Other |
8,323 |
25 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
7: Hispanic |
6,860 |
24 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 164 |
Librarians |
8: NonHispanic |
178,927 |
683 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
1: Total |
166,170 |
618 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
2: Male |
97,324 |
355 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
3: Female |
68,846 |
263 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
4: White |
150,931 |
559 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
5: Black |
8,685 |
38 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
6: Other |
6,553 |
21 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
7: Hispanic |
7,949 |
28 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 166 |
Economists |
8: NonHispanic |
158,220 |
590 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
1: Total |
190,497 |
738 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
2: Male |
82,506 |
315 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
3: Female |
107,991 |
423 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
4: White |
174,659 |
672 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
5: Black |
12,367 |
54 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
6: Other |
3,472 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
7: Hispanic |
9,612 |
36 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 167 |
Psychologists |
8: NonHispanic |
180,885 |
702 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 174 |
Social workers |
1: Total |
569,851 |
2,264 |
54 |
1 |
18 |
18 |
15 |
15 |
|
| 174 |
Social workers |
2: Male |
176,079 |
666 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 174 |
Social workers |
3: Female |
393,771 |
1,598 |
33 |
1 |
26 |
26 |
21 |
21 |
|
| 174 |
Social workers |
4: White |
441,564 |
1,699 |
27 |
1 |
22 |
23 |
18 |
18 |
|
| 174 |
Social workers |
5: Black |
114,755 |
512 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 174 |
Social workers |
6: Other |
13,531 |
53 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 174 |
Social workers |
7: Hispanic |
35,804 |
141 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 174 |
Social workers |
8: NonHispanic |
534,047 |
2,123 |
48 |
1 |
19 |
19 |
15 |
16 |
|
| 176 |
Clergy |
1: Total |
330,405 |
1,294 |
58 |
1 |
48 |
47 |
59 |
59 |
|
| 176 |
Clergy |
2: Male |
303,305 |
1,174 |
56 |
1 |
52 |
52 |
65 |
65 |
|
| 176 |
Clergy |
3: Female |
27,099 |
120 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 176 |
Clergy |
4: White |
286,145 |
1,113 |
38 |
1 |
55 |
55 |
75 |
75 |
|
| 176 |
Clergy |
5: Black |
35,690 |
148 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 176 |
Clergy |
6: Other |
8,570 |
33 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 176 |
Clergy |
7: Hispanic |
10,323 |
34 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 176 |
Clergy |
8: NonHispanic |
320,081 |
1,260 |
57 |
1 |
49 |
49 |
60 |
60 |
|
| 178 |
Lawyers |
1: Total |
747,311 |
2,748 |
77 |
2 |
12 |
9 |
22 |
16 |
|
| 178 |
Lawyers |
2: Male |
568,786 |
2,059 |
73 |
2 |
15 |
12 |
23 |
17 |
|
| 178 |
Lawyers |
3: Female |
178,525 |
689 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 178 |
Lawyers |
4: White |
700,998 |
2,574 |
75 |
2 |
12 |
9 |
22 |
16 |
|
| 178 |
Lawyers |
5: Black |
32,972 |
126 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 178 |
Lawyers |
6: Other |
13,340 |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 178 |
Lawyers |
7: Hispanic |
24,022 |
86 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 178 |
Lawyers |
8: NonHispanic |
723,289 |
2,662 |
76 |
2 |
12 |
9 |
22 |
16 |
|
| 185 |
Designers |
1: Total |
526,843 |
1,977 |
41 |
4 |
255 |
139 |
346 |
212 |
|
| 185 |
Designers |
2: Male |
225,588 |
826 |
27 |
1 |
35 |
35 |
36 |
36 |
|
| 185 |
Designers |
3: Female |
301,255 |
1,151 |
14 |
3 |
414 |
238 |
610 |
395 |
|
| 185 |
Designers |
4: White |
485,631 |
1,820 |
36 |
4 |
274 |
150 |
359 |
217 |
|
| 185 |
Designers |
5: Black |
18,362 |
76 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 185 |
Designers |
6: Other |
22,851 |
81 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 185 |
Designers |
7: Hispanic |
31,508 |
119 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 185 |
Designers |
8: NonHispanic |
495,335 |
1,858 |
40 |
4 |
271 |
148 |
358 |
218 |
|
| 186 |
Musicians and
composers |
1: Total |
171,362 |
621 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
2: Male |
106,537 |
379 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
3: Female |
64,825 |
242 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
4: White |
149,422 |
539 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
5: Black |
16,035 |
61 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
6: Other |
5,906 |
21 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
7: Hispanic |
10,895 |
43 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 186 |
Musicians and
composers |
8: NonHispanic |
160,467 |
578 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
1: Total |
103,368 |
384 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
2: Male |
64,217 |
236 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
3: Female |
39,152 |
148 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
4: White |
94,457 |
354 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
5: Black |
6,067 |
18 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
6: Other |
2,844 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
7: Hispanic |
5,345 |
20 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 187 |
Actors and directors |
8: NonHispanic |
98,023 |
364 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
1: Total |
243,308 |
906 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
2: Male |
120,720 |
439 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
3: Female |
122,587 |
467 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
4: White |
223,410 |
832 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
5: Black |
9,904 |
39 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
6: Other |
9,994 |
35 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
7: Hispanic |
10,852 |
39 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 188 |
Painters/sculptors/craft-artists/artist
printmakers |
8: NonHispanic |
232,456 |
867 |
27 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
1: Total |
134,989 |
483 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
2: Male |
101,240 |
350 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
3: Female |
33,749 |
133 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
4: White |
125,085 |
443 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
5: Black |
6,256 |
28 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
6: Other |
3,648 |
12 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
7: Hispanic |
4,926 |
18 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 189 |
Photographers |
8: NonHispanic |
130,063 |
465 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
1: Total |
247,967 |
911 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
2: Male |
130,383 |
467 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
3: Female |
117,584 |
444 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
4: White |
228,960 |
845 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
5: Black |
12,182 |
43 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
6: Other |
6,825 |
23 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
7: Hispanic |
6,974 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 195 |
Editors and reporters |
8: NonHispanic |
240,992 |
889 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
1: Total |
168,127 |
633 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
2: Male |
72,038 |
266 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
3: Female |
96,088 |
367 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
4: White |
152,746 |
572 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
5: Black |
11,635 |
47 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
6: Other |
3,746 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
7: Hispanic |
8,036 |
30 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 197 |
Public relations
specialists |
8: NonHispanic |
160,091 |
603 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
1: Total |
328,584 |
1,295 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
2: Male |
78,792 |
286 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
3: Female |
249,791 |
1,009 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
4: White |
252,780 |
976 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
5: Black |
50,404 |
231 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
6: Other |
25,400 |
88 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
7: Hispanic |
24,898 |
90 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 203 |
Clinical lab
technologists and technicians |
8: NonHispanic |
303,685 |
1,205 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
1: Total |
137,287 |
529 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
2: Male |
41,478 |
151 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
3: Female |
95,809 |
378 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
4: White |
121,044 |
464 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
5: Black |
11,089 |
48 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
6: Other |
5,154 |
17 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
7: Hispanic |
11,059 |
41 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 206 |
Radiologic
technicians |
8: NonHispanic |
126,228 |
488 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
1: Total |
433,437 |
1,798 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
2: Male |
18,738 |
63 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
3: Female |
414,700 |
1,735 |
28 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
4: White |
340,291 |
1,341 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
5: Black |
80,115 |
411 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
6: Other |
13,031 |
46 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
7: Hispanic |
22,621 |
89 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 207 |
Licensed practical
nurses |
8: NonHispanic |
410,816 |
1,709 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 208 |
Health technologists
and technicians |
1: Total |
330,504 |
1,284 |
18 |
1 |
12 |
12 |
9 |
9 |
|
| 208 |
Health technologists
and technicians |
2: Male |
101,316 |
370 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 208 |
Health technologists
and technicians |
3: Female |
229,188 |
914 |
9 |
1 |
18 |
18 |
13 |
13 |
|
| 208 |
Health technologists
and technicians |
4: White |
266,221 |
1,012 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 208 |
Health technologists
and technicians |
5: Black |
45,241 |
203 |
5 |
1 |
88 |
89 |
72 |
74 |
|
| 208 |
Health technologists
and technicians |
6: Other |
19,042 |
69 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 208 |
Health technologists
and technicians |
7: Hispanic |
24,937 |
93 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 208 |
Health technologists
and technicians |
8: NonHispanic |
305,567 |
1,191 |
18 |
1 |
13 |
13 |
10 |
10 |
|
| 213 |
Electrical and
electronic technicians |
1: Total |
378,968 |
1,407 |
36 |
1 |
32 |
32 |
41 |
41 |
|
| 213 |
Electrical and
electronic technicians |
2: Male |
320,198 |
1,172 |
32 |
1 |
38 |
38 |
49 |
49 |
|
| 213 |
Electrical and
electronic technicians |
3: Female |
58,770 |
235 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 213 |
Electrical and
electronic technicians |
4: White |
318,155 |
1,182 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 213 |
Electrical and
electronic technicians |
5: Black |
31,406 |
119 |
6 |
1 |
410 |
405 |
1,633 |
1,542 |
|
| 213 |
Electrical and
electronic technicians |
6: Other |
29,407 |
106 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 213 |
Electrical and
electronic technicians |
7: Hispanic |
20,080 |
78 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 213 |
Electrical and
electronic technicians |
8: NonHispanic |
358,888 |
1,329 |
36 |
1 |
34 |
34 |
42 |
42 |
|
| 216 |
Engineering
technicians |
1: Total |
261,701 |
1,002 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
2: Male |
178,622 |
667 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
3: Female |
83,079 |
335 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
4: White |
220,821 |
838 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
5: Black |
25,470 |
110 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
6: Other |
15,410 |
54 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
7: Hispanic |
10,812 |
40 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 216 |
Engineering
technicians |
8: NonHispanic |
250,889 |
962 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 217 |
Drafting occs |
1: Total |
265,437 |
964 |
28 |
1 |
51 |
51 |
76 |
76 |
|
| 217 |
Drafting occs |
2: Male |
213,073 |
773 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 217 |
Drafting occs |
3: Female |
52,364 |
191 |
5 |
1 |
243 |
245 |
928 |
870 |
|
| 217 |
Drafting occs |
4: White |
243,043 |
877 |
21 |
1 |
55 |
55 |
80 |
79 |
|
| 217 |
Drafting occs |
5: Black |
9,474 |
39 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 217 |
Drafting occs |
6: Other |
12,920 |
48 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 217 |
Drafting occs |
7: Hispanic |
19,282 |
69 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 217 |
Drafting occs |
8: NonHispanic |
246,155 |
895 |
27 |
1 |
54 |
54 |
79 |
79 |
|
| 226 |
Airplane pilots and
navigators |
1: Total |
107,936 |
395 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
2: Male |
105,271 |
383 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
3: Female |
2,665 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
4: White |
105,231 |
386 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
5: Black |
1,735 |
6 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
6: Other |
970 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
7: Hispanic |
3,245 |
11 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 226 |
Airplane pilots and
navigators |
8: NonHispanic |
104,691 |
384 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 229 |
Computer programmers |
1: Total |
515,413 |
1,905 |
18 |
1 |
36 |
36 |
63 |
64 |
|
| 229 |
Computer programmers |
2: Male |
345,931 |
1,248 |
11 |
1 |
54 |
54 |
89 |
90 |
|
| 229 |
Computer programmers |
3: Female |
169,482 |
657 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 229 |
Computer programmers |
4: White |
441,655 |
1,608 |
16 |
1 |
41 |
41 |
71 |
72 |
|
| 229 |
Computer programmers |
5: Black |
35,443 |
151 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 229 |
Computer programmers |
6: Other |
38,315 |
146 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 229 |
Computer programmers |
7: Hispanic |
23,934 |
86 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 229 |
Computer programmers |
8: NonHispanic |
491,479 |
1,819 |
18 |
1 |
37 |
37 |
64 |
65 |
|
| 234 |
Legal assistants |
1: Total |
245,025 |
913 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
2: Male |
51,098 |
181 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
3: Female |
193,927 |
732 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
4: White |
218,530 |
813 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
5: Black |
16,896 |
67 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
6: Other |
9,598 |
33 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
7: Hispanic |
15,187 |
58 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 234 |
Legal assistants |
8: NonHispanic |
229,838 |
855 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 235 |
Technicians |
1: Total |
462,626 |
1,738 |
21 |
1 |
18 |
18 |
15 |
15 |
|
| 235 |
Technicians |
2: Male |
323,700 |
1,199 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 235 |
Technicians |
3: Female |
138,926 |
539 |
8 |
1 |
59 |
59 |
55 |
55 |
|
| 235 |
Technicians |
4: White |
391,624 |
1,457 |
18 |
1 |
21 |
21 |
18 |
18 |
|
| 235 |
Technicians |
5: Black |
36,652 |
156 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 235 |
Technicians |
6: Other |
34,349 |
125 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 235 |
Technicians |
7: Hispanic |
28,281 |
96 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 235 |
Technicians |
8: NonHispanic |
434,345 |
1,642 |
19 |
1 |
19 |
19 |
16 |
16 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
1: Total |
3,596,023 |
13,631 |
372 |
10 |
53 |
24 |
66 |
26 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
2: Male |
2,315,820 |
8,610 |
289 |
9 |
51 |
19 |
74 |
30 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
3: Female |
1,280,203 |
5,021 |
83 |
1 |
59 |
59 |
49 |
49 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
4: White |
3,297,445 |
12,480 |
346 |
8 |
53 |
26 |
61 |
27 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
5: Black |
169,165 |
684 |
18 |
2 |
106 |
86 |
228 |
163 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
6: Other |
129,414 |
467 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
7: Hispanic |
197,592 |
738 |
17 |
1 |
378 |
376 |
285 |
278 |
|
| 243 |
Supervisors/Proprietors,
Sales Occupations |
8: NonHispanic |
3,398,432 |
12,893 |
355 |
9 |
35 |
13 |
52 |
21 |
|
| 253 |
Insurance sales occs |
1: Total |
654,951 |
2,510 |
75 |
2 |
19 |
13 |
31 |
25 |
|
| 253 |
Insurance sales occs |
2: Male |
422,637 |
1,592 |
58 |
2 |
29 |
21 |
36 |
28 |
|
| 253 |
Insurance sales occs |
3: Female |
232,314 |
918 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 253 |
Insurance sales occs |
4: White |
598,754 |
2,276 |
71 |
2 |
21 |
15 |
33 |
26 |
|
| 253 |
Insurance sales occs |
5: Black |
40,514 |
175 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 253 |
Insurance sales occs |
6: Other |
15,683 |
59 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 253 |
Insurance sales occs |
7: Hispanic |
30,301 |
111 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 253 |
Insurance sales occs |
8: NonHispanic |
624,650 |
2,399 |
75 |
2 |
20 |
14 |
32 |
25 |
|
| 254 |
Real estate sales
occs |
1: Total |
788,281 |
2,938 |
120 |
3 |
76 |
48 |
347 |
282 |
|
| 254 |
Real estate sales
occs |
2: Male |
401,798 |
1,479 |
80 |
3 |
150 |
96 |
448 |
349 |
|
| 254 |
Real estate sales
occs |
3: Female |
386,483 |
1,459 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 254 |
Real estate sales
occs |
4: White |
740,931 |
2,765 |
118 |
3 |
80 |
51 |
348 |
282 |
|
| 254 |
Real estate sales
occs |
5: Black |
24,062 |
97 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 254 |
Real estate sales
occs |
6: Other |
23,288 |
76 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 254 |
Real estate sales
occs |
7: Hispanic |
32,809 |
118 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 254 |
Real estate sales
occs |
8: NonHispanic |
755,472 |
2,820 |
117 |
3 |
79 |
50 |
358 |
292 |
|
| 255 |
Securities and
financial services sales occs |
1: Total |
288,542 |
1,062 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
2: Male |
211,164 |
761 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
3: Female |
77,378 |
301 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
4: White |
265,488 |
972 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
5: Black |
15,184 |
62 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
6: Other |
7,870 |
28 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
7: Hispanic |
7,195 |
27 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 255 |
Securities and
financial services sales occs |
8: NonHispanic |
281,347 |
1,035 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
1: Total |
142,145 |
532 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
2: Male |
71,964 |
260 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
3: Female |
70,181 |
272 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
4: White |
133,280 |
497 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
5: Black |
6,644 |
26 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
6: Other |
2,222 |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
7: Hispanic |
4,887 |
20 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 256 |
Advertising and
related sales occs |
8: NonHispanic |
137,258 |
512 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 257 |
Sales occs, other
business services |
1: Total |
393,028 |
1,461 |
32 |
2 |
108 |
92 |
172 |
134 |
|
| 257 |
Sales occs, other
business services |
2: Male |
252,718 |
916 |
23 |
2 |
168 |
142 |
223 |
172 |
|
| 257 |
Sales occs, other
business services |
3: Female |
140,309 |
545 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 257 |
Sales occs, other
business services |
4: White |
364,858 |
1,351 |
30 |
2 |
116 |
98 |
173 |
136 |
|
| 257 |
Sales occs, other
business services |
5: Black |
19,777 |
82 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 257 |
Sales occs, other
business services |
6: Other |
8,392 |
28 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 257 |
Sales occs, other
business services |
7: Hispanic |
20,971 |
82 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 257 |
Sales occs, other
business services |
8: NonHispanic |
372,057 |
1,379 |
31 |
2 |
114 |
97 |
176 |
138 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
1: Total |
1,305,211 |
4,867 |
133 |
2 |
42 |
29 |
42 |
31 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
2: Male |
1,004,909 |
3,722 |
121 |
2 |
54 |
38 |
49 |
36 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
3: Female |
300,302 |
1,145 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
4: White |
1,240,419 |
4,612 |
126 |
1 |
23 |
23 |
28 |
28 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
5: Black |
39,789 |
166 |
6 |
1 |
659 |
660 |
528 |
524 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
6: Other |
25,003 |
89 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
7: Hispanic |
58,984 |
226 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 259 |
Sales reps,
mining/manufact/wholesale |
8: NonHispanic |
1,246,227 |
4,641 |
129 |
2 |
43 |
31 |
43 |
32 |
|
| 263 |
Sales workers, motor
vehicles and boats |
1: Total |
255,606 |
963 |
43 |
2 |
193 |
138 |
468 |
328 |
|
| 263 |
Sales workers, motor
vehicles and boats |
2: Male |
241,931 |
910 |
42 |
2 |
204 |
146 |
474 |
332 |
|
| 263 |
Sales workers, motor
vehicles and boats |
3: Female |
13,676 |
53 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 263 |
Sales workers, motor
vehicles and boats |
4: White |
240,349 |
908 |
40 |
2 |
206 |
147 |
469 |
329 |
|
| 263 |
Sales workers, motor
vehicles and boats |
5: Black |
11,496 |
41 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 263 |
Sales workers, motor
vehicles and boats |
6: Other |
3,761 |
14 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 263 |
Sales workers, motor
vehicles and boats |
7: Hispanic |
14,878 |
57 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 263 |
Sales workers, motor
vehicles and boats |
8: NonHispanic |
240,729 |
906 |
42 |
2 |
205 |
147 |
471 |
330 |
|
| 264 |
Sales workers,
apparel |
1: Total |
296,930 |
1,136 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
2: Male |
53,627 |
191 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
3: Female |
243,303 |
945 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
4: White |
258,828 |
976 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
5: Black |
27,636 |
121 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
6: Other |
10,465 |
39 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
7: Hispanic |
32,386 |
121 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 264 |
Sales workers,
apparel |
8: NonHispanic |
264,544 |
1,015 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
1: Total |
105,818 |
386 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
2: Male |
54,694 |
205 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
3: Female |
51,124 |
181 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
4: White |
99,018 |
357 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
5: Black |
4,966 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
6: Other |
1,833 |
7 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
7: Hispanic |
7,845 |
29 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 266 |
Sales workers,
furniture and home furnishings |
8: NonHispanic |
97,973 |
357 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
1: Total |
119,117 |
434 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
2: Male |
91,775 |
332 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
3: Female |
27,342 |
102 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
4: White |
107,942 |
386 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
5: Black |
6,979 |
33 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
6: Other |
4,196 |
15 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
7: Hispanic |
6,412 |
21 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 267 |
Sales workers, radio,
TV, hi-fi and appliances |
8: NonHispanic |
112,705 |
413 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
1: Total |
116,569 |
431 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
2: Male |
92,969 |
339 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
3: Female |
23,600 |
92 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
4: White |
112,288 |
415 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
5: Black |
2,839 |
11 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
6: Other |
1,442 |
5 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
7: Hispanic |
3,475 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 268 |
Sales workers,
hardware and building supplies |
8: NonHispanic |
113,094 |
419 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
1: Total |
138,870 |
518 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
2: Male |
125,177 |
469 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
3: Female |
13,693 |
49 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
4: White |
129,759 |
485 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
5: Black |
7,235 |
26 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
6: Other |
1,876 |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
7: Hispanic |
8,300 |
31 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 269 |
Sales workers, parts |
8: NonHispanic |
130,569 |
487 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 274 |
Sales workers, other
commodities |
1: Total |
2,118,672 |
8,004 |
219 |
4 |
31 |
17 |
186 |
154 |
|
| 274 |
Sales workers, other
commodities |
2: Male |
764,573 |
2,771 |
124 |
2 |
52 |
37 |
381 |
312 |
|
| 274 |
Sales workers, other
commodities |
3: Female |
1,354,099 |
5,233 |
95 |
2 |
20 |
17 |
20 |
18 |
|
| 274 |
Sales workers, other
commodities |
4: White |
1,900,230 |
7,132 |
197 |
4 |
35 |
19 |
187 |
155 |
|
| 274 |
Sales workers, other
commodities |
5: Black |
142,383 |
620 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 274 |
Sales workers, other
commodities |
6: Other |
76,059 |
252 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 274 |
Sales workers, other
commodities |
7: Hispanic |
137,695 |
528 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 274 |
Sales workers, other
commodities |
8: NonHispanic |
1,980,977 |
7,476 |
208 |
4 |
33 |
18 |
188 |
156 |
|
| 275 |
Sales counter clerks |
1: Total |
182,795 |
697 |
16 |
1 |
111 |
111 |
118 |
118 |
|
| 275 |
Sales counter clerks |
2: Male |
62,397 |
232 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 275 |
Sales counter clerks |
3: Female |
120,397 |
465 |
10 |
1 |
167 |
167 |
179 |
179 |
|
| 275 |
Sales counter clerks |
4: White |
145,649 |
543 |
11 |
1 |
136 |
136 |
154 |
153 |
|
| 275 |
Sales counter clerks |
5: Black |
18,053 |
84 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 275 |
Sales counter clerks |
6: Other |
19,093 |
70 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 275 |
Sales counter clerks |
7: Hispanic |
17,033 |
62 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 275 |
Sales counter clerks |
8: NonHispanic |
165,762 |
635 |
15 |
1 |
123 |
123 |
126 |
126 |
|
| 276 |
Cashiers |
1: Total |
2,043,195 |
7,955 |
167 |
5 |
59 |
33 |
309 |
239 |
|
| 276 |
Cashiers |
2: Male |
361,042 |
1,342 |
58 |
1 |
163 |
163 |
893 |
798 |
|
| 276 |
Cashiers |
3: Female |
1,682,152 |
6,613 |
109 |
4 |
38 |
22 |
60 |
36 |
|
| 276 |
Cashiers |
4: White |
1,619,868 |
6,155 |
134 |
3 |
64 |
41 |
314 |
249 |
|
| 276 |
Cashiers |
5: Black |
312,261 |
1,408 |
28 |
2 |
55 |
38 |
139 |
116 |
|
| 276 |
Cashiers |
6: Other |
111,066 |
392 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 276 |
Cashiers |
7: Hispanic |
187,024 |
720 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 276 |
Cashiers |
8: NonHispanic |
1,856,171 |
7,235 |
157 |
5 |
65 |
36 |
316 |
243 |
|
| 277 |
Street and
door-to-door sales workers |
1: Total |
276,408 |
1,066 |
30 |
1 |
120 |
120 |
115 |
114 |
|
| 277 |
Street and
door-to-door sales workers |
2: Male |
68,964 |
255 |
17 |
1 |
520 |
516 |
585 |
561 |
|
| 277 |
Street and
door-to-door sales workers |
3: Female |
207,444 |
811 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 277 |
Street and
door-to-door sales workers |
4: White |
251,242 |
960 |
29 |
1 |
131 |
131 |
119 |
118 |
|
| 277 |
Street and
door-to-door sales workers |
5: Black |
21,783 |
94 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 277 |
Street and
door-to-door sales workers |
6: Other |
3,383 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 277 |
Street and
door-to-door sales workers |
7: Hispanic |
18,747 |
73 |
3 |
1 |
1,906 |
1,841 |
1,521 |
1,385 |
|
| 277 |
Street and
door-to-door sales workers |
8: NonHispanic |
257,661 |
993 |
27 |
0 |
0 |
0 |
0 |
0 |
|
| 303 |
Supervisors, general
office |
1: Total |
456,019 |
1,762 |
41 |
2 |
115 |
83 |
84 |
61 |
|
| 303 |
Supervisors, general
office |
2: Male |
127,692 |
460 |
20 |
2 |
397 |
285 |
271 |
194 |
|
| 303 |
Supervisors, general
office |
3: Female |
328,327 |
1,302 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 303 |
Supervisors, general
office |
4: White |
393,770 |
1,501 |
35 |
2 |
132 |
96 |
95 |
69 |
|
| 303 |
Supervisors, general
office |
5: Black |
47,377 |
207 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 303 |
Supervisors, general
office |
6: Other |
14,872 |
54 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 303 |
Supervisors, general
office |
7: Hispanic |
26,940 |
97 |
4 |
2 |
1,888 |
1,342 |
1,946 |
1,451 |
|
| 303 |
Supervisors, general
office |
8: NonHispanic |
429,079 |
1,665 |
37 |
0 |
0 |
0 |
0 |
0 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
1: Total |
177,953 |
694 |
21 |
1 |
171 |
172 |
3,354 |
1,282 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
2: Male |
119,950 |
451 |
16 |
1 |
253 |
254 |
3,408 |
1,329 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
3: Female |
58,003 |
243 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
4: White |
145,138 |
553 |
14 |
1 |
208 |
208 |
3,392 |
1,315 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
5: Black |
28,601 |
124 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
6: Other |
4,214 |
17 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
7: Hispanic |
12,491 |
49 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 307 |
Supervisors,
distribution, scheduling, and adjusting clerks |
8: NonHispanic |
165,462 |
645 |
20 |
1 |
183 |
184 |
3,354 |
1,282 |
|
| 308 |
Computer operators |
1: Total |
659,841 |
2,548 |
43 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
2: Male |
234,917 |
853 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
3: Female |
424,925 |
1,695 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
4: White |
543,263 |
2,043 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
5: Black |
92,859 |
421 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
6: Other |
23,719 |
84 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
7: Hispanic |
42,368 |
154 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 308 |
Computer operators |
8: NonHispanic |
617,473 |
2,394 |
39 |
0 |
0 |
0 |
0 |
0 |
|
| 313 |
Secretaries |
1: Total |
3,828,302 |
14,851 |
233 |
5 |
25 |
13 |
526 |
405 |
|
| 313 |
Secretaries |
2: Male |
46,281 |
176 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 313 |
Secretaries |
3: Female |
3,782,021 |
14,675 |
229 |
5 |
25 |
13 |
637 |
465 |
|
| 313 |
Secretaries |
4: White |
3,453,562 |
13,185 |
215 |
5 |
28 |
14 |
528 |
405 |
|
| 313 |
Secretaries |
5: Black |
290,884 |
1,381 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 313 |
Secretaries |
6: Other |
83,856 |
285 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 313 |
Secretaries |
7: Hispanic |
229,081 |
864 |
8 |
1 |
69 |
69 |
46 |
47 |
|
| 313 |
Secretaries |
8: NonHispanic |
3,599,220 |
13,987 |
225 |
4 |
22 |
13 |
522 |
406 |
|
| 315 |
Typists |
1: Total |
515,090 |
2,042 |
54 |
2 |
32 |
28 |
41 |
35 |
|
| 315 |
Typists |
2: Male |
28,810 |
105 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 315 |
Typists |
3: Female |
486,281 |
1,937 |
51 |
2 |
34 |
29 |
43 |
37 |
|
| 315 |
Typists |
4: White |
407,125 |
1,537 |
45 |
2 |
41 |
35 |
45 |
38 |
|
| 315 |
Typists |
5: Black |
88,156 |
430 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 315 |
Typists |
6: Other |
19,809 |
75 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 315 |
Typists |
7: Hispanic |
36,679 |
146 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 315 |
Typists |
8: NonHispanic |
478,411 |
1,896 |
51 |
2 |
35 |
30 |
43 |
37 |
|
| 316 |
Interviewers |
1: Total |
146,720 |
573 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
2: Male |
18,133 |
66 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
3: Female |
128,587 |
507 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
4: White |
126,116 |
472 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
5: Black |
18,343 |
91 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
6: Other |
2,261 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
7: Hispanic |
9,918 |
38 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 316 |
Interviewers |
8: NonHispanic |
136,801 |
535 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
1: Total |
164,670 |
623 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
2: Male |
56,559 |
207 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
3: Female |
108,111 |
416 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
4: White |
138,098 |
518 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
5: Black |
18,274 |
76 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
6: Other |
8,299 |
29 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
7: Hispanic |
13,923 |
53 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 318 |
Transportation ticket
and reservation agents |
8: NonHispanic |
150,747 |
570 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 319 |
Receptionists |
1: Total |
747,566 |
2,936 |
51 |
2 |
43 |
30 |
46 |
33 |
|
| 319 |
Receptionists |
2: Male |
26,737 |
98 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 319 |
Receptionists |
3: Female |
720,830 |
2,838 |
47 |
2 |
44 |
31 |
48 |
34 |
|
| 319 |
Receptionists |
4: White |
671,925 |
2,586 |
43 |
2 |
47 |
33 |
51 |
36 |
|
| 319 |
Receptionists |
5: Black |
57,688 |
285 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 319 |
Receptionists |
6: Other |
17,953 |
65 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 319 |
Receptionists |
7: Hispanic |
70,963 |
262 |
5 |
1 |
236 |
236 |
166 |
167 |
|
| 319 |
Receptionists |
8: NonHispanic |
676,603 |
2,674 |
46 |
1 |
23 |
23 |
25 |
25 |
|
| 327 |
Order clerks |
1: Total |
183,515 |
721 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
2: Male |
48,147 |
179 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
3: Female |
135,368 |
542 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
4: White |
153,766 |
587 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
5: Black |
25,840 |
120 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
6: Other |
3,910 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
7: Hispanic |
14,429 |
53 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 327 |
Order clerks |
8: NonHispanic |
169,086 |
668 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
1: Total |
125,725 |
478 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
2: Male |
27,366 |
94 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
3: Female |
98,359 |
384 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
4: White |
100,948 |
381 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
5: Black |
15,408 |
67 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
6: Other |
9,369 |
30 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
7: Hispanic |
10,207 |
36 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 329 |
Library clerks |
8: NonHispanic |
115,518 |
442 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 335 |
File clerks |
1: Total |
193,069 |
769 |
20 |
1 |
62 |
62 |
371 |
386 |
|
| 335 |
File clerks |
2: Male |
40,157 |
162 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 335 |
File clerks |
3: Female |
152,912 |
607 |
16 |
1 |
78 |
78 |
418 |
435 |
|
| 335 |
File clerks |
4: White |
147,502 |
560 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 335 |
File clerks |
5: Black |
35,931 |
173 |
5 |
1 |
316 |
315 |
4,666 |
798 |
|
| 335 |
File clerks |
6: Other |
9,636 |
36 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 335 |
File clerks |
7: Hispanic |
19,217 |
73 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 335 |
File clerks |
8: NonHispanic |
173,853 |
696 |
17 |
1 |
69 |
69 |
376 |
392 |
|
| 336 |
Records clerks |
1: Total |
159,184 |
632 |
9 |
1 |
33 |
33 |
194 |
190 |
|
| 336 |
Records clerks |
2: Male |
34,088 |
124 |
2 |
1 |
162 |
161 |
4,281 |
0 |
|
| 336 |
Records clerks |
3: Female |
125,096 |
508 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 336 |
Records clerks |
4: White |
133,291 |
506 |
9 |
1 |
40 |
40 |
219 |
215 |
|
| 336 |
Records clerks |
5: Black |
19,718 |
102 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 336 |
Records clerks |
6: Other |
6,175 |
24 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 336 |
Records clerks |
7: Hispanic |
11,973 |
51 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 336 |
Records clerks |
8: NonHispanic |
147,211 |
581 |
7 |
1 |
36 |
36 |
199 |
195 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
1: Total |
1,817,127 |
7,075 |
192 |
1 |
9 |
9 |
8 |
8 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
2: Male |
163,476 |
606 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
3: Female |
1,653,650 |
6,469 |
158 |
1 |
10 |
10 |
9 |
9 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
4: White |
1,651,362 |
6,394 |
182 |
1 |
10 |
10 |
9 |
9 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
5: Black |
97,144 |
433 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
6: Other |
68,621 |
248 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
7: Hispanic |
90,453 |
353 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 337 |
Bookkeepers,
accounting, and auditing clerks |
8: NonHispanic |
1,726,674 |
6,722 |
186 |
1 |
10 |
10 |
8 |
8 |
|
| 338 |
Payroll and
timekeeping clerks |
1: Total |
150,511 |
591 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
2: Male |
15,990 |
62 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
3: Female |
134,521 |
529 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
4: White |
129,718 |
494 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
5: Black |
14,808 |
75 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
6: Other |
5,985 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
7: Hispanic |
9,273 |
37 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 338 |
Payroll and
timekeeping clerks |
8: NonHispanic |
141,237 |
554 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
1: Total |
165,608 |
641 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
2: Male |
15,055 |
54 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
3: Female |
150,553 |
587 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
4: White |
143,857 |
544 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
5: Black |
15,636 |
75 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
6: Other |
6,115 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
7: Hispanic |
8,191 |
33 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 339 |
Billing clerks |
8: NonHispanic |
157,417 |
608 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
1: Total |
195,396 |
767 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
2: Male |
20,290 |
73 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
3: Female |
175,105 |
694 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
4: White |
149,302 |
565 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
5: Black |
38,556 |
177 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
6: Other |
7,537 |
25 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
7: Hispanic |
11,184 |
42 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 348 |
Telephone operators |
8: NonHispanic |
184,211 |
725 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
1: Total |
310,003 |
1,284 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
2: Male |
170,471 |
678 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
3: Female |
139,532 |
606 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
4: White |
207,923 |
817 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
5: Black |
82,256 |
392 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
6: Other |
19,824 |
75 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
7: Hispanic |
21,022 |
86 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 354 |
Postal clerks, except
mail carriers |
8: NonHispanic |
288,981 |
1,198 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
1: Total |
303,415 |
1,182 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
2: Male |
217,151 |
830 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
3: Female |
86,263 |
352 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
4: White |
251,840 |
973 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
5: Black |
39,538 |
169 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
6: Other |
12,037 |
40 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
7: Hispanic |
21,353 |
77 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 355 |
Mail carriers, postal
service |
8: NonHispanic |
282,061 |
1,105 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
1: Total |
178,110 |
697 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
2: Male |
101,596 |
373 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
3: Female |
76,514 |
324 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
4: White |
134,186 |
500 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
5: Black |
38,112 |
175 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
6: Other |
5,812 |
22 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
7: Hispanic |
18,429 |
65 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 356 |
Mail clerks, except
postal service |
8: NonHispanic |
159,682 |
632 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
1: Total |
123,316 |
474 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
2: Male |
94,001 |
359 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
3: Female |
29,314 |
115 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
4: White |
100,817 |
369 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
5: Black |
18,180 |
89 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
6: Other |
4,319 |
16 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
7: Hispanic |
12,004 |
47 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 357 |
Messengers |
8: NonHispanic |
111,312 |
427 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
1: Total |
180,789 |
706 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
2: Male |
91,223 |
350 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
3: Female |
89,566 |
356 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
4: White |
162,937 |
623 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
5: Black |
14,936 |
71 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
6: Other |
2,916 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
7: Hispanic |
10,432 |
40 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 359 |
Dispatchers |
8: NonHispanic |
170,357 |
666 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 363 |
Production
coordinators |
1: Total |
204,210 |
795 |
24 |
1 |
80 |
79 |
63 |
63 |
|
| 363 |
Production
coordinators |
2: Male |
109,596 |
415 |
15 |
1 |
148 |
148 |
105 |
106 |
|
| 363 |
Production
coordinators |
3: Female |
94,614 |
380 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 363 |
Production
coordinators |
4: White |
184,024 |
707 |
22 |
1 |
88 |
88 |
71 |
71 |
|
| 363 |
Production
coordinators |
5: Black |
15,000 |
68 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 363 |
Production
coordinators |
6: Other |
5,187 |
20 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 363 |
Production
coordinators |
7: Hispanic |
8,866 |
32 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 363 |
Production
coordinators |
8: NonHispanic |
195,344 |
763 |
22 |
1 |
82 |
82 |
65 |
65 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
1: Total |
531,212 |
1,988 |
61 |
1 |
12 |
12 |
9 |
9 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
2: Male |
384,452 |
1,414 |
49 |
1 |
17 |
17 |
12 |
12 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
3: Female |
146,759 |
574 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
4: White |
434,475 |
1,600 |
44 |
1 |
15 |
15 |
11 |
11 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
5: Black |
77,426 |
326 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
6: Other |
19,310 |
62 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
7: Hispanic |
57,292 |
203 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 364 |
Traffic, shipping,
and receiving clerks |
8: NonHispanic |
473,920 |
1,785 |
57 |
1 |
14 |
14 |
10 |
10 |
|
| 365 |
Stock and inventory
clerks |
1: Total |
585,833 |
2,238 |
58 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
2: Male |
355,972 |
1,313 |
44 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
3: Female |
229,861 |
925 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
4: White |
483,956 |
1,816 |
46 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
5: Black |
81,578 |
352 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
6: Other |
20,299 |
70 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
7: Hispanic |
49,932 |
193 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 365 |
Stock and inventory
clerks |
8: NonHispanic |
535,901 |
2,045 |
52 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
1: Total |
169,140 |
652 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
2: Male |
58,752 |
214 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
3: Female |
110,388 |
438 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
4: White |
143,787 |
543 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
5: Black |
20,203 |
91 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
6: Other |
5,150 |
18 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
7: Hispanic |
13,687 |
49 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 373 |
Expediters |
8: NonHispanic |
155,453 |
603 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
1: Total |
304,227 |
1,202 |
18 |
1 |
41 |
41 |
60 |
59 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
2: Male |
88,079 |
331 |
12 |
1 |
140 |
140 |
140 |
140 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
3: Female |
216,148 |
871 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
4: White |
258,407 |
998 |
17 |
1 |
48 |
48 |
65 |
65 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
5: Black |
37,062 |
172 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
6: Other |
8,758 |
32 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
7: Hispanic |
18,714 |
74 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 375 |
Insurance adjusters,
examiners, and investigators |
8: NonHispanic |
285,513 |
1,128 |
17 |
1 |
44 |
44 |
62 |
62 |
|
| 376 |
Investigators and
adjusters, except insurance |
1: Total |
636,942 |
2,457 |
40 |
2 |
101 |
81 |
132 |
115 |
|
| 376 |
Investigators and
adjusters, except insurance |
2: Male |
163,828 |
601 |
19 |
1 |
310 |
313 |
429 |
424 |
|
| 376 |
Investigators and
adjusters, except insurance |
3: Female |
473,114 |
1,856 |
21 |
1 |
31 |
31 |
23 |
23 |
|
| 376 |
Investigators and
adjusters, except insurance |
4: White |
544,471 |
2,068 |
34 |
2 |
118 |
95 |
146 |
127 |
|
| 376 |
Investigators and
adjusters, except insurance |
5: Black |
73,460 |
313 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 376 |
Investigators and
adjusters, except insurance |
6: Other |
19,011 |
76 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 376 |
Investigators and
adjusters, except insurance |
7: Hispanic |
45,242 |
179 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 376 |
Investigators and
adjusters, except insurance |
8: NonHispanic |
591,700 |
2,278 |
38 |
2 |
109 |
87 |
138 |
120 |
|
| 378 |
Bill and account
collectors |
1: Total |
133,916 |
497 |
13 |
2 |
507 |
389 |
571 |
433 |
|
| 378 |
Bill and account
collectors |
2: Male |
48,058 |
172 |
5 |
1 |
395 |
391 |
353 |
347 |
|
| 378 |
Bill and account
collectors |
3: Female |
85,858 |
325 |
8 |
1 |
568 |
565 |
678 |
656 |
|
| 378 |
Bill and account
collectors |
4: White |
114,532 |
420 |
11 |
2 |
591 |
457 |
624 |
472 |
|
| 378 |
Bill and account
collectors |
5: Black |
17,327 |
68 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 378 |
Bill and account
collectors |
6: Other |
2,057 |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 378 |
Bill and account
collectors |
7: Hispanic |
11,787 |
46 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 378 |
Bill and account
collectors |
8: NonHispanic |
122,129 |
451 |
12 |
2 |
551 |
423 |
605 |
458 |
|
| 379 |
General office clerks |
1: Total |
1,187,412 |
4,541 |
116 |
5 |
164 |
81 |
350 |
182 |
|
| 379 |
General office clerks |
2: Male |
217,103 |
778 |
43 |
4 |
764 |
456 |
1,173 |
653 |
|
| 379 |
General office clerks |
3: Female |
970,309 |
3,763 |
73 |
1 |
31 |
31 |
36 |
35 |
|
| 379 |
General office clerks |
4: White |
992,097 |
3,693 |
95 |
5 |
195 |
96 |
375 |
191 |
|
| 379 |
General office clerks |
5: Black |
147,483 |
683 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 379 |
General office clerks |
6: Other |
47,832 |
165 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 379 |
General office clerks |
7: Hispanic |
93,915 |
351 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 379 |
General office clerks |
8: NonHispanic |
1,093,497 |
4,190 |
111 |
5 |
178 |
88 |
362 |
187 |
|
| 383 |
Bank tellers |
1: Total |
452,802 |
1,754 |
35 |
1 |
12 |
12 |
18 |
18 |
|
| 383 |
Bank tellers |
2: Male |
39,851 |
147 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 383 |
Bank tellers |
3: Female |
412,951 |
1,607 |
26 |
1 |
13 |
13 |
19 |
19 |
|
| 383 |
Bank tellers |
4: White |
391,439 |
1,496 |
30 |
1 |
14 |
14 |
19 |
19 |
|
| 383 |
Bank tellers |
5: Black |
43,808 |
199 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 383 |
Bank tellers |
6: Other |
17,555 |
59 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 383 |
Bank tellers |
7: Hispanic |
34,169 |
129 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 383 |
Bank tellers |
8: NonHispanic |
418,633 |
1,625 |
31 |
1 |
13 |
13 |
19 |
19 |
|
| 385 |
Data-entry keyers |
1: Total |
485,635 |
1,961 |
39 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
2: Male |
73,725 |
271 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
3: Female |
411,909 |
1,690 |
29 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
4: White |
365,475 |
1,426 |
29 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
5: Black |
91,883 |
430 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
6: Other |
28,277 |
105 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
7: Hispanic |
35,687 |
142 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 385 |
Data-entry keyers |
8: NonHispanic |
449,947 |
1,819 |
39 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
1: Total |
388,785 |
1,587 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
2: Male |
21,414 |
82 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
3: Female |
367,370 |
1,505 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
4: White |
314,883 |
1,232 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
5: Black |
61,772 |
311 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
6: Other |
12,130 |
44 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
7: Hispanic |
52,219 |
204 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 387 |
Teachers aides |
8: NonHispanic |
336,566 |
1,383 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| 389 |
Administrative
support occs |
1: Total |
717,172 |
2,818 |
68 |
2 |
46 |
35 |
60 |
43 |
|
| 389 |
Administrative
support occs |
2: Male |
169,607 |
627 |
22 |
1 |
131 |
131 |
120 |
118 |
|
| 389 |
Administrative
support occs |
3: Female |
547,564 |
2,191 |
46 |
1 |
20 |
20 |
42 |
42 |
|
| 389 |
Administrative
support occs |
4: White |
603,814 |
2,314 |
57 |
2 |
55 |
41 |
67 |
47 |
|
| 389 |
Administrative
support occs |
5: Black |
82,999 |
394 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 389 |
Administrative
support occs |
6: Other |
30,359 |
110 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 389 |
Administrative
support occs |
7: Hispanic |
43,281 |
166 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 389 |
Administrative
support occs |
8: NonHispanic |
673,891 |
2,652 |
66 |
2 |
49 |
37 |
62 |
44 |
|
| 406 |
Child care workers,
private household |
1: Total |
184,736 |
721 |
22 |
1 |
100 |
100 |
162 |
161 |
|
| 406 |
Child care workers,
private household |
2: Male |
4,252 |
13 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 406 |
Child care workers,
private household |
3: Female |
180,484 |
708 |
20 |
1 |
102 |
102 |
163 |
162 |
|
| 406 |
Child care workers,
private household |
4: White |
152,239 |
569 |
16 |
1 |
121 |
121 |
231 |
230 |
|
| 406 |
Child care workers,
private household |
5: Black |
25,514 |
129 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 406 |
Child care workers,
private household |
6: Other |
6,983 |
23 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 406 |
Child care workers,
private household |
7: Hispanic |
20,558 |
75 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 406 |
Child care workers,
private household |
8: NonHispanic |
164,178 |
646 |
22 |
1 |
112 |
112 |
176 |
176 |
|
| 407 |
Private household
cleaners and servants |
1: Total |
515,168 |
2,251 |
118 |
3 |
87 |
54 |
78 |
53 |
|
| 407 |
Private household
cleaners and servants |
2: Male |
27,623 |
110 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 407 |
Private household
cleaners and servants |
3: Female |
487,545 |
2,141 |
112 |
3 |
92 |
57 |
81 |
55 |
|
| 407 |
Private household
cleaners and servants |
4: White |
334,219 |
1,315 |
44 |
0 |
0 |
0 |
0 |
0 |
|
| 407 |
Private household
cleaners and servants |
5: Black |
169,563 |
898 |
72 |
3 |
252 |
156 |
178 |
114 |
|
| 407 |
Private household
cleaners and servants |
6: Other |
11,386 |
38 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 407 |
Private household
cleaners and servants |
7: Hispanic |
93,012 |
372 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 407 |
Private household
cleaners and servants |
8: NonHispanic |
422,156 |
1,879 |
113 |
3 |
105 |
65 |
85 |
57 |
|
| 417 |
Firefighting occs |
1: Total |
198,277 |
753 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
2: Male |
193,361 |
733 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
3: Female |
4,916 |
20 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
4: White |
173,027 |
655 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
5: Black |
19,686 |
81 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
6: Other |
5,564 |
17 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
7: Hispanic |
11,259 |
45 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 417 |
Firefighting occs |
8: NonHispanic |
187,017 |
708 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
1: Total |
481,710 |
1,771 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
2: Male |
427,880 |
1,555 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
3: Female |
53,830 |
216 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
4: White |
415,697 |
1,517 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
5: Black |
57,495 |
228 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
6: Other |
8,517 |
26 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
7: Hispanic |
35,570 |
130 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 418 |
Police and
detectives, public service |
8: NonHispanic |
446,140 |
1,641 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
1: Total |
127,159 |
477 |
11 |
1 |
344 |
344 |
615 |
588 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
2: Male |
108,386 |
398 |
11 |
1 |
406 |
405 |
751 |
710 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
3: Female |
18,773 |
79 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
4: White |
110,731 |
407 |
10 |
1 |
392 |
392 |
702 |
667 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
5: Black |
14,369 |
63 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
6: Other |
2,059 |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
7: Hispanic |
7,896 |
27 |
1 |
1 |
5,853 |
5,632 |
10,755 |
0 |
|
| 423 |
Sheriffs/bailiffs/other
law enforcement officers |
8: NonHispanic |
119,263 |
450 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 424 |
Correctional
institution officers |
1: Total |
219,927 |
829 |
26 |
2 |
292 |
238 |
297 |
211 |
|
| 424 |
Correctional
institution officers |
2: Male |
173,618 |
638 |
21 |
2 |
365 |
297 |
355 |
253 |
|
| 424 |
Correctional
institution officers |
3: Female |
46,309 |
191 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 424 |
Correctional
institution officers |
4: White |
156,718 |
584 |
20 |
1 |
95 |
96 |
166 |
163 |
|
| 424 |
Correctional
institution officers |
5: Black |
60,620 |
237 |
6 |
1 |
824 |
837 |
564 |
565 |
|
| 424 |
Correctional
institution officers |
6: Other |
2,589 |
8 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 424 |
Correctional
institution officers |
7: Hispanic |
16,375 |
59 |
3 |
1 |
955 |
953 |
2,930 |
2,159 |
|
| 424 |
Correctional
institution officers |
8: NonHispanic |
203,552 |
770 |
23 |
1 |
241 |
244 |
163 |
163 |
|
| 426 |
Guards and police,
except public service |
1: Total |
650,456 |
2,504 |
162 |
5 |
100 |
55 |
85 |
46 |
|
| 426 |
Guards and police,
except public service |
2: Male |
552,369 |
2,101 |
157 |
5 |
118 |
66 |
92 |
49 |
|
| 426 |
Guards and police,
except public service |
3: Female |
98,086 |
403 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 426 |
Guards and police,
except public service |
4: White |
480,103 |
1,760 |
120 |
4 |
118 |
73 |
87 |
54 |
|
| 426 |
Guards and police,
except public service |
5: Black |
149,390 |
664 |
38 |
1 |
54 |
55 |
75 |
75 |
|
| 426 |
Guards and police,
except public service |
6: Other |
20,963 |
80 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 426 |
Guards and police,
except public service |
7: Hispanic |
50,594 |
188 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 426 |
Guards and police,
except public service |
8: NonHispanic |
599,862 |
2,316 |
153 |
5 |
108 |
60 |
89 |
48 |
|
| 433 |
Supervisors, food
preparation and service occs |
1: Total |
259,072 |
978 |
23 |
1 |
73 |
72 |
48 |
48 |
|
| 433 |
Supervisors, food
preparation and service occs |
2: Male |
104,802 |
391 |
14 |
1 |
183 |
181 |
146 |
142 |
|
| 433 |
Supervisors, food
preparation and service occs |
3: Female |
154,270 |
587 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 433 |
Supervisors, food
preparation and service occs |
4: White |
204,666 |
751 |
16 |
1 |
91 |
91 |
55 |
55 |
|
| 433 |
Supervisors, food
preparation and service occs |
5: Black |
34,444 |
164 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 433 |
Supervisors, food
preparation and service occs |
6: Other |
19,962 |
63 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 433 |
Supervisors, food
preparation and service occs |
7: Hispanic |
25,251 |
85 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 433 |
Supervisors, food
preparation and service occs |
8: NonHispanic |
233,821 |
893 |
18 |
1 |
81 |
81 |
53 |
54 |
|
| 434 |
Bartenders |
1: Total |
344,383 |
1,247 |
49 |
1 |
54 |
54 |
79 |
78 |
|
| 434 |
Bartenders |
2: Male |
165,509 |
595 |
36 |
1 |
111 |
111 |
186 |
181 |
|
| 434 |
Bartenders |
3: Female |
178,873 |
652 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 434 |
Bartenders |
4: White |
316,379 |
1,150 |
46 |
1 |
58 |
58 |
85 |
84 |
|
| 434 |
Bartenders |
5: Black |
16,534 |
60 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 434 |
Bartenders |
6: Other |
11,470 |
37 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 434 |
Bartenders |
7: Hispanic |
19,323 |
71 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 434 |
Bartenders |
8: NonHispanic |
325,059 |
1,176 |
49 |
1 |
57 |
57 |
85 |
83 |
|
| 435 |
Waiters and
waitresses |
1: Total |
1,243,450 |
4,718 |
74 |
1 |
13 |
13 |
5 |
5 |
|
| 435 |
Waiters and
waitresses |
2: Male |
223,627 |
807 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 435 |
Waiters and
waitresses |
3: Female |
1,019,824 |
3,911 |
56 |
1 |
16 |
16 |
6 |
6 |
|
| 435 |
Waiters and
waitresses |
4: White |
1,111,262 |
4,203 |
66 |
1 |
14 |
14 |
6 |
6 |
|
| 435 |
Waiters and
waitresses |
5: Black |
61,054 |
267 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 435 |
Waiters and
waitresses |
6: Other |
71,135 |
248 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 435 |
Waiters and
waitresses |
7: Hispanic |
95,550 |
364 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 435 |
Waiters and
waitresses |
8: NonHispanic |
1,147,900 |
4,354 |
68 |
1 |
14 |
14 |
5 |
5 |
|
| 436 |
Cooks |
1: Total |
1,587,227 |
6,301 |
163 |
4 |
61 |
39 |
106 |
57 |
|
| 436 |
Cooks |
2: Male |
783,771 |
2,926 |
72 |
0 |
0 |
0 |
0 |
0 |
|
| 436 |
Cooks |
3: Female |
803,457 |
3,375 |
91 |
4 |
118 |
74 |
132 |
71 |
|
| 436 |
Cooks |
4: White |
1,172,926 |
4,482 |
110 |
3 |
74 |
51 |
126 |
74 |
|
| 436 |
Cooks |
5: Black |
300,435 |
1,408 |
46 |
1 |
33 |
33 |
44 |
44 |
|
| 436 |
Cooks |
6: Other |
113,866 |
411 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 436 |
Cooks |
7: Hispanic |
209,332 |
791 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 436 |
Cooks |
8: NonHispanic |
1,377,895 |
5,510 |
147 |
4 |
70 |
44 |
111 |
60 |
|
| 438 |
Food
counter/fountain/related occs |
1: Total |
176,859 |
677 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
2: Male |
45,699 |
163 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
3: Female |
131,160 |
514 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
4: White |
146,014 |
556 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
5: Black |
19,953 |
87 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
6: Other |
10,892 |
34 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
7: Hispanic |
17,933 |
67 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 438 |
Food
counter/fountain/related occs |
8: NonHispanic |
158,926 |
610 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 439 |
Kitchen workers, food
preparation |
1: Total |
192,563 |
770 |
22 |
1 |
33 |
33 |
40 |
40 |
|
| 439 |
Kitchen workers, food
preparation |
2: Male |
57,965 |
222 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 439 |
Kitchen workers, food
preparation |
3: Female |
134,598 |
548 |
17 |
1 |
49 |
49 |
52 |
53 |
|
| 439 |
Kitchen workers, food
preparation |
4: White |
157,272 |
610 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 439 |
Kitchen workers, food
preparation |
5: Black |
26,793 |
128 |
9 |
1 |
231 |
233 |
639 |
619 |
|
| 439 |
Kitchen workers, food
preparation |
6: Other |
8,499 |
32 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 439 |
Kitchen workers, food
preparation |
7: Hispanic |
27,503 |
108 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 439 |
Kitchen workers, food
preparation |
8: NonHispanic |
165,061 |
662 |
22 |
1 |
39 |
39 |
45 |
46 |
|
| 443 |
Waiters/waitresses
assistants |
1: Total |
264,739 |
1,014 |
29 |
1 |
97 |
98 |
198 |
196 |
|
| 443 |
Waiters/waitresses
assistants |
2: Male |
136,888 |
498 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 443 |
Waiters/waitresses
assistants |
3: Female |
127,851 |
516 |
18 |
1 |
199 |
199 |
241 |
238 |
|
| 443 |
Waiters/waitresses
assistants |
4: White |
198,354 |
727 |
22 |
1 |
132 |
133 |
274 |
272 |
|
| 443 |
Waiters/waitresses
assistants |
5: Black |
45,895 |
213 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 443 |
Waiters/waitresses
assistants |
6: Other |
20,490 |
74 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 443 |
Waiters/waitresses
assistants |
7: Hispanic |
57,751 |
211 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 443 |
Waiters/waitresses
assistants |
8: NonHispanic |
206,988 |
803 |
25 |
1 |
123 |
124 |
248 |
246 |
|
| 444 |
Miscellaneous food
preparation occs |
1: Total |
501,893 |
1,986 |
65 |
4 |
197 |
92 |
199 |
97 |
|
| 444 |
Miscellaneous food
preparation occs |
2: Male |
215,820 |
805 |
26 |
2 |
208 |
153 |
324 |
234 |
|
| 444 |
Miscellaneous food
preparation occs |
3: Female |
286,073 |
1,181 |
39 |
2 |
189 |
134 |
129 |
93 |
|
| 444 |
Miscellaneous food
preparation occs |
4: White |
370,694 |
1,414 |
42 |
2 |
134 |
79 |
143 |
87 |
|
| 444 |
Miscellaneous food
preparation occs |
5: Black |
99,163 |
468 |
20 |
1 |
171 |
172 |
181 |
172 |
|
| 444 |
Miscellaneous food
preparation occs |
6: Other |
32,036 |
104 |
3 |
1 |
1,022 |
902 |
948 |
766 |
|
| 444 |
Miscellaneous food
preparation occs |
7: Hispanic |
84,834 |
340 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 444 |
Miscellaneous food
preparation occs |
8: NonHispanic |
417,059 |
1,646 |
57 |
4 |
237 |
110 |
239 |
116 |
|
| 445 |
Dental assistants |
1: Total |
176,208 |
682 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
2: Male |
2,344 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
3: Female |
173,864 |
672 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
4: White |
158,379 |
614 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
5: Black |
9,318 |
37 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
6: Other |
8,511 |
31 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
7: Hispanic |
14,666 |
54 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 445 |
Dental assistants |
8: NonHispanic |
161,542 |
628 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 446 |
Health aides, except
nursing |
1: Total |
333,037 |
1,340 |
27 |
1 |
23 |
23 |
25 |
25 |
|
| 446 |
Health aides, except
nursing |
2: Male |
51,970 |
202 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 446 |
Health aides, except
nursing |
3: Female |
281,067 |
1,138 |
18 |
1 |
26 |
27 |
28 |
28 |
|
| 446 |
Health aides, except
nursing |
4: White |
257,471 |
985 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 446 |
Health aides, except
nursing |
5: Black |
61,364 |
302 |
10 |
1 |
123 |
124 |
208 |
208 |
|
| 446 |
Health aides, except
nursing |
6: Other |
14,202 |
53 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 446 |
Health aides, except
nursing |
7: Hispanic |
28,147 |
108 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 446 |
Health aides, except
nursing |
8: NonHispanic |
304,890 |
1,232 |
26 |
1 |
25 |
25 |
27 |
27 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
1: Total |
1,477,561 |
6,316 |
166 |
6 |
87 |
38 |
84 |
37 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
2: Male |
153,470 |
592 |
20 |
1 |
171 |
171 |
528 |
519 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
3: Female |
1,324,091 |
5,724 |
146 |
5 |
77 |
38 |
67 |
33 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
4: White |
961,155 |
3,764 |
88 |
4 |
97 |
50 |
102 |
53 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
5: Black |
458,338 |
2,335 |
75 |
2 |
75 |
61 |
60 |
49 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
6: Other |
58,068 |
217 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
7: Hispanic |
114,207 |
452 |
11 |
1 |
234 |
232 |
344 |
331 |
|
| 447 |
Nursing aides,
orderlies, and attendants |
8: NonHispanic |
1,363,354 |
5,864 |
155 |
5 |
75 |
37 |
67 |
33 |
|
| 448 |
Supervisors, cleaning
and building service workers |
1: Total |
159,703 |
648 |
34 |
1 |
91 |
91 |
51 |
51 |
|
| 448 |
Supervisors, cleaning
and building service workers |
2: Male |
105,146 |
397 |
24 |
1 |
136 |
136 |
76 |
76 |
|
| 448 |
Supervisors, cleaning
and building service workers |
3: Female |
54,556 |
251 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 448 |
Supervisors, cleaning
and building service workers |
4: White |
114,658 |
436 |
24 |
1 |
126 |
126 |
66 |
66 |
|
| 448 |
Supervisors, cleaning
and building service workers |
5: Black |
38,557 |
190 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 448 |
Supervisors, cleaning
and building service workers |
6: Other |
6,487 |
22 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 448 |
Supervisors, cleaning
and building service workers |
7: Hispanic |
16,618 |
64 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 448 |
Supervisors, cleaning
and building service workers |
8: NonHispanic |
143,085 |
584 |
33 |
1 |
101 |
101 |
56 |
56 |
|
| 449 |
Maids and housemen |
1: Total |
551,376 |
2,323 |
64 |
2 |
79 |
58 |
115 |
80 |
|
| 449 |
Maids and housemen |
2: Male |
96,994 |
381 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 449 |
Maids and housemen |
3: Female |
454,381 |
1,942 |
49 |
2 |
96 |
70 |
140 |
100 |
|
| 449 |
Maids and housemen |
4: White |
354,519 |
1,383 |
37 |
1 |
77 |
77 |
85 |
85 |
|
| 449 |
Maids and housemen |
5: Black |
163,377 |
819 |
27 |
1 |
101 |
102 |
227 |
216 |
|
| 449 |
Maids and housemen |
6: Other |
33,480 |
121 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 449 |
Maids and housemen |
7: Hispanic |
92,528 |
358 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 449 |
Maids and housemen |
8: NonHispanic |
458,848 |
1,965 |
55 |
2 |
95 |
69 |
128 |
90 |
|
| 453 |
Janitors and cleaners |
1: Total |
2,067,101 |
8,411 |
452 |
7 |
42 |
16 |
36 |
14 |
|
| 453 |
Janitors and cleaners |
2: Male |
1,409,633 |
5,609 |
347 |
4 |
43 |
20 |
37 |
18 |
|
| 453 |
Janitors and cleaners |
3: Female |
657,468 |
2,802 |
105 |
3 |
41 |
27 |
29 |
19 |
|
| 453 |
Janitors and cleaners |
4: White |
1,517,278 |
5,846 |
273 |
5 |
49 |
20 |
43 |
19 |
|
| 453 |
Janitors and cleaners |
5: Black |
459,686 |
2,254 |
165 |
2 |
29 |
25 |
19 |
16 |
|
| 453 |
Janitors and cleaners |
6: Other |
90,137 |
311 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 453 |
Janitors and cleaners |
7: Hispanic |
282,343 |
1,101 |
37 |
2 |
99 |
75 |
210 |
179 |
|
| 453 |
Janitors and cleaners |
8: NonHispanic |
1,784,758 |
7,310 |
415 |
5 |
34 |
16 |
25 |
12 |
|
| 458 |
Hairdressers and
cosmetologists |
1: Total |
741,546 |
2,879 |
56 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
2: Male |
68,233 |
256 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
3: Female |
673,312 |
2,623 |
41 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
4: White |
648,508 |
2,463 |
46 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
5: Black |
60,742 |
297 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
6: Other |
32,296 |
119 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
7: Hispanic |
51,330 |
185 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 458 |
Hairdressers and
cosmetologists |
8: NonHispanic |
690,216 |
2,694 |
53 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
1: Total |
120,428 |
424 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
2: Male |
77,155 |
266 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
3: Female |
43,272 |
158 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
4: White |
102,381 |
359 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
5: Black |
9,840 |
41 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
6: Other |
8,206 |
24 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
7: Hispanic |
6,990 |
27 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 459 |
Attendants, amusement
and recreation facilities |
8: NonHispanic |
113,438 |
397 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 468 |
Child care workers |
1: Total |
855,757 |
3,468 |
97 |
3 |
41 |
24 |
40 |
24 |
|
| 468 |
Child care workers |
2: Male |
30,500 |
112 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 468 |
Child care workers |
3: Female |
825,256 |
3,356 |
86 |
3 |
42 |
24 |
41 |
24 |
|
| 468 |
Child care workers |
4: White |
724,662 |
2,829 |
70 |
1 |
16 |
16 |
11 |
11 |
|
| 468 |
Child care workers |
5: Black |
110,510 |
563 |
24 |
2 |
211 |
155 |
149 |
108 |
|
| 468 |
Child care workers |
6: Other |
20,585 |
76 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 468 |
Child care workers |
7: Hispanic |
65,679 |
265 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 468 |
Child care workers |
8: NonHispanic |
790,077 |
3,203 |
87 |
3 |
44 |
26 |
44 |
26 |
|
| 469 |
Personal service
occs, ne.c. |
1: Total |
222,426 |
873 |
25 |
1 |
126 |
126 |
119 |
119 |
|
| 469 |
Personal service
occs, ne.c. |
2: Male |
71,762 |
272 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 469 |
Personal service
occs, ne.c. |
3: Female |
150,664 |
601 |
14 |
1 |
188 |
189 |
174 |
175 |
|
| 469 |
Personal service
occs, ne.c. |
4: White |
177,821 |
659 |
16 |
1 |
157 |
157 |
142 |
143 |
|
| 469 |
Personal service
occs, ne.c. |
5: Black |
36,056 |
181 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 469 |
Personal service
occs, ne.c. |
6: Other |
8,548 |
33 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 469 |
Personal service
occs, ne.c. |
7: Hispanic |
24,343 |
91 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 469 |
Personal service
occs, ne.c. |
8: NonHispanic |
198,082 |
782 |
24 |
1 |
140 |
140 |
127 |
128 |
|
| 473 |
Farmers, except
horticultural |
1: Total |
1,166,644 |
4,726 |
373 |
5 |
65 |
31 |
36 |
17 |
|
| 473 |
Farmers, except
horticultural |
2: Male |
975,641 |
3,930 |
337 |
4 |
69 |
38 |
38 |
21 |
|
| 473 |
Farmers, except
horticultural |
3: Female |
191,002 |
796 |
36 |
1 |
48 |
48 |
26 |
26 |
|
| 473 |
Farmers, except
horticultural |
4: White |
1,139,195 |
4,623 |
358 |
4 |
60 |
31 |
34 |
18 |
|
| 473 |
Farmers, except
horticultural |
5: Black |
18,651 |
69 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 473 |
Farmers, except
horticultural |
6: Other |
8,798 |
34 |
1 |
1 |
888 |
829 |
352 |
286 |
|
| 473 |
Farmers, except
horticultural |
7: Hispanic |
22,847 |
82 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 473 |
Farmers, except
horticultural |
8: NonHispanic |
1,143,797 |
4,644 |
368 |
5 |
66 |
32 |
37 |
18 |
|
| 475 |
Managers, farms,
except horticultural |
1: Total |
167,631 |
667 |
28 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
2: Male |
139,372 |
547 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
3: Female |
28,260 |
120 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
4: White |
161,151 |
645 |
26 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
5: Black |
4,473 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
6: Other |
2,007 |
8 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
7: Hispanic |
12,531 |
51 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 475 |
Managers, farms,
except horticultural |
8: NonHispanic |
155,100 |
616 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 479 |
Farm workers |
1: Total |
686,987 |
2,750 |
116 |
3 |
95 |
73 |
217 |
189 |
|
| 479 |
Farm workers |
2: Male |
544,374 |
2,164 |
101 |
2 |
29 |
21 |
37 |
26 |
|
| 479 |
Farm workers |
3: Female |
142,613 |
586 |
15 |
1 |
341 |
334 |
692 |
633 |
|
| 479 |
Farm workers |
4: White |
626,954 |
2,501 |
90 |
1 |
78 |
78 |
203 |
201 |
|
| 479 |
Farm workers |
5: Black |
50,321 |
206 |
25 |
2 |
314 |
223 |
304 |
216 |
|
| 479 |
Farm workers |
6: Other |
9,712 |
43 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 479 |
Farm workers |
7: Hispanic |
198,614 |
769 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 479 |
Farm workers |
8: NonHispanic |
488,373 |
1,981 |
96 |
3 |
132 |
102 |
244 |
205 |
|
| 485 |
Supervisors, related
agricultural occs |
1: Total |
100,868 |
380 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
2: Male |
92,700 |
348 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
3: Female |
8,168 |
32 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
4: White |
90,024 |
339 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
5: Black |
8,543 |
33 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
6: Other |
2,301 |
8 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
7: Hispanic |
11,614 |
44 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 485 |
Supervisors, related
agricultural occs |
8: NonHispanic |
89,254 |
336 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
1: Total |
632,818 |
2,431 |
98 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
2: Male |
588,437 |
2,254 |
94 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
3: Female |
44,381 |
177 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
4: White |
525,323 |
1,963 |
70 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
5: Black |
87,800 |
398 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
6: Other |
19,695 |
70 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
7: Hispanic |
117,128 |
446 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 486 |
Groundskeepers and
gardeners, except farm |
8: NonHispanic |
515,690 |
1,985 |
87 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
1: Total |
104,819 |
381 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
2: Male |
101,439 |
368 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
3: Female |
3,379 |
13 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
4: White |
89,520 |
324 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
5: Black |
14,842 |
55 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
6: Other |
456 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
7: Hispanic |
2,739 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 496 |
Timber cutting and
logging occs |
8: NonHispanic |
102,079 |
369 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 503 |
Supervisors,
mechanics and repairers |
1: Total |
282,895 |
1,087 |
38 |
2 |
237 |
179 |
4,211 |
1,087 |
|
| 503 |
Supervisors,
mechanics and repairers |
2: Male |
265,131 |
1,016 |
36 |
1 |
77 |
77 |
63 |
63 |
|
| 503 |
Supervisors,
mechanics and repairers |
3: Female |
17,764 |
71 |
2 |
1 |
2,709 |
2,654 |
8,236 |
1,542 |
|
| 503 |
Supervisors,
mechanics and repairers |
4: White |
261,524 |
985 |
31 |
2 |
257 |
194 |
4,377 |
1,130 |
|
| 503 |
Supervisors,
mechanics and repairers |
5: Black |
14,507 |
77 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 503 |
Supervisors,
mechanics and repairers |
6: Other |
6,865 |
25 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 503 |
Supervisors,
mechanics and repairers |
7: Hispanic |
12,316 |
45 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 503 |
Supervisors,
mechanics and repairers |
8: NonHispanic |
270,579 |
1,042 |
37 |
2 |
248 |
187 |
4,212 |
1,087 |
|
| 505 |
Automobile mechanics |
1: Total |
924,831 |
3,474 |
104 |
2 |
26 |
24 |
39 |
35 |
|
| 505 |
Automobile mechanics |
2: Male |
911,752 |
3,426 |
104 |
2 |
26 |
24 |
39 |
35 |
|
| 505 |
Automobile mechanics |
3: Female |
13,079 |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 505 |
Automobile mechanics |
4: White |
823,872 |
3,054 |
83 |
1 |
26 |
26 |
42 |
42 |
|
| 505 |
Automobile mechanics |
5: Black |
74,283 |
326 |
19 |
1 |
33 |
33 |
28 |
28 |
|
| 505 |
Automobile mechanics |
6: Other |
26,676 |
94 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 505 |
Automobile mechanics |
7: Hispanic |
84,143 |
306 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 505 |
Automobile mechanics |
8: NonHispanic |
840,688 |
3,168 |
99 |
2 |
29 |
26 |
41 |
37 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
1: Total |
312,281 |
1,178 |
45 |
1 |
80 |
80 |
66 |
66 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
2: Male |
309,444 |
1,166 |
45 |
1 |
80 |
80 |
67 |
66 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
3: Female |
2,837 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
4: White |
279,594 |
1,042 |
41 |
1 |
89 |
89 |
75 |
75 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
5: Black |
26,549 |
117 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
6: Other |
6,137 |
19 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
7: Hispanic |
21,696 |
81 |
6 |
1 |
1,213 |
1,210 |
1,069 |
1,047 |
|
| 507 |
Bus, truck, and
stationary engine mechanics |
8: NonHispanic |
290,585 |
1,097 |
39 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
1: Total |
139,849 |
516 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
2: Male |
136,446 |
502 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
3: Female |
3,403 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
4: White |
119,200 |
437 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
5: Black |
13,166 |
55 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
6: Other |
7,483 |
24 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
7: Hispanic |
16,273 |
59 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 508 |
Aircraft engine
mechanics |
8: NonHispanic |
123,576 |
457 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
1: Total |
194,183 |
736 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
2: Male |
190,848 |
722 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
3: Female |
3,336 |
14 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
4: White |
180,530 |
672 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
5: Black |
9,605 |
48 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
6: Other |
4,048 |
16 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
7: Hispanic |
18,112 |
70 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 514 |
Automobile body and
related repairers |
8: NonHispanic |
176,071 |
666 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 516 |
Heavy equipment
mechanics |
1: Total |
162,026 |
615 |
20 |
1 |
171 |
171 |
205 |
203 |
|
| 516 |
Heavy equipment
mechanics |
2: Male |
160,399 |
609 |
20 |
1 |
173 |
173 |
205 |
203 |
|
| 516 |
Heavy equipment
mechanics |
3: Female |
1,627 |
6 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 516 |
Heavy equipment
mechanics |
4: White |
148,046 |
560 |
17 |
1 |
189 |
189 |
237 |
235 |
|
| 516 |
Heavy equipment
mechanics |
5: Black |
10,117 |
44 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 516 |
Heavy equipment
mechanics |
6: Other |
3,863 |
11 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 516 |
Heavy equipment
mechanics |
7: Hispanic |
9,945 |
38 |
2 |
1 |
3,065 |
3,012 |
6,248 |
2,833 |
|
| 516 |
Heavy equipment
mechanics |
8: NonHispanic |
152,082 |
577 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 518 |
Industrial machinery
repairers |
1: Total |
423,173 |
1,637 |
54 |
1 |
25 |
25 |
20 |
20 |
|
| 518 |
Industrial machinery
repairers |
2: Male |
407,439 |
1,578 |
52 |
1 |
26 |
26 |
21 |
21 |
|
| 518 |
Industrial machinery
repairers |
3: Female |
15,734 |
59 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 518 |
Industrial machinery
repairers |
4: White |
378,313 |
1,455 |
47 |
1 |
28 |
29 |
22 |
22 |
|
| 518 |
Industrial machinery
repairers |
5: Black |
35,436 |
147 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 518 |
Industrial machinery
repairers |
6: Other |
9,424 |
35 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 518 |
Industrial machinery
repairers |
7: Hispanic |
29,582 |
115 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 518 |
Industrial machinery
repairers |
8: NonHispanic |
393,591 |
1,522 |
51 |
1 |
27 |
27 |
21 |
21 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
1: Total |
169,027 |
629 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
2: Male |
153,324 |
564 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
3: Female |
15,702 |
65 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
4: White |
142,679 |
528 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
5: Black |
21,472 |
84 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
6: Other |
4,875 |
17 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
7: Hispanic |
13,124 |
49 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 523 |
Electronic repairers,
communication/industrial equipment |
8: NonHispanic |
155,903 |
580 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
1: Total |
162,838 |
633 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
2: Male |
144,286 |
557 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
3: Female |
18,552 |
76 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
4: White |
144,681 |
560 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
5: Black |
15,049 |
60 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
6: Other |
3,108 |
13 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
7: Hispanic |
12,142 |
47 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 529 |
Telephone installers
and repairers |
8: NonHispanic |
150,696 |
586 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
1: Total |
225,091 |
826 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
2: Male |
224,245 |
822 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
3: Female |
846 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
4: White |
208,347 |
765 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
5: Black |
11,777 |
45 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
6: Other |
4,968 |
16 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
7: Hispanic |
15,365 |
61 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 534 |
Heating air
conditioning, and refrigeration mechanics |
8: NonHispanic |
209,727 |
765 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
1: Total |
257,127 |
981 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
2: Male |
242,820 |
922 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
3: Female |
14,307 |
59 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
4: White |
227,503 |
863 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
5: Black |
19,706 |
83 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
6: Other |
9,917 |
35 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
7: Hispanic |
21,620 |
84 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 547 |
Specified mechanics
and repairers |
8: NonHispanic |
235,507 |
897 |
28 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
1: Total |
254,196 |
950 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
2: Male |
240,104 |
894 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
3: Female |
14,091 |
56 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
4: White |
218,993 |
813 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
5: Black |
29,737 |
116 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
6: Other |
5,465 |
21 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
7: Hispanic |
20,810 |
80 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 549 |
Not specified
mechanics and repairers |
8: NonHispanic |
233,386 |
870 |
38 |
0 |
0 |
0 |
0 |
0 |
|
| 558 |
Supervisors,
construction |
1: Total |
509,017 |
1,903 |
55 |
2 |
76 |
55 |
298 |
274 |
|
| 558 |
Supervisors,
construction |
2: Male |
501,602 |
1,872 |
54 |
2 |
77 |
56 |
314 |
289 |
|
| 558 |
Supervisors,
construction |
3: Female |
7,415 |
31 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 558 |
Supervisors,
construction |
4: White |
477,148 |
1,759 |
47 |
2 |
82 |
59 |
305 |
279 |
|
| 558 |
Supervisors,
construction |
5: Black |
23,959 |
115 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 558 |
Supervisors,
construction |
6: Other |
7,909 |
29 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 558 |
Supervisors,
construction |
7: Hispanic |
33,067 |
120 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 558 |
Supervisors,
construction |
8: NonHispanic |
475,950 |
1,783 |
53 |
2 |
82 |
59 |
311 |
287 |
|
| 563 |
Brickmasons and
stonemasons |
1: Total |
179,883 |
680 |
32 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
2: Male |
178,943 |
676 |
32 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
3: Female |
940 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
4: White |
151,238 |
559 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
5: Black |
25,281 |
111 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
6: Other |
3,363 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
7: Hispanic |
15,571 |
59 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 563 |
Brickmasons and
stonemasons |
8: NonHispanic |
164,312 |
621 |
30 |
0 |
0 |
0 |
0 |
0 |
|
| 567 |
Carpenters |
1: Total |
1,336,839 |
4,962 |
159 |
3 |
37 |
23 |
55 |
34 |
|
| 567 |
Carpenters |
2: Male |
1,320,133 |
4,900 |
159 |
3 |
37 |
23 |
55 |
34 |
|
| 567 |
Carpenters |
3: Female |
16,705 |
62 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 567 |
Carpenters |
4: White |
1,234,330 |
4,549 |
142 |
3 |
40 |
25 |
62 |
38 |
|
| 567 |
Carpenters |
5: Black |
75,647 |
326 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 567 |
Carpenters |
6: Other |
26,862 |
87 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 567 |
Carpenters |
7: Hispanic |
102,190 |
383 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 567 |
Carpenters |
8: NonHispanic |
1,234,649 |
4,579 |
144 |
3 |
40 |
25 |
57 |
35 |
|
| 573 |
Drywall installers |
1: Total |
137,655 |
504 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
2: Male |
134,036 |
488 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
3: Female |
3,619 |
16 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
4: White |
123,513 |
450 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
5: Black |
9,959 |
42 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
6: Other |
4,183 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
7: Hispanic |
23,712 |
81 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 573 |
Drywall installers |
8: NonHispanic |
113,944 |
423 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 575 |
Electricians |
1: Total |
626,998 |
2,360 |
63 |
1 |
10 |
10 |
17 |
17 |
|
| 575 |
Electricians |
2: Male |
615,184 |
2,310 |
63 |
1 |
10 |
10 |
18 |
17 |
|
| 575 |
Electricians |
3: Female |
11,815 |
50 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 575 |
Electricians |
4: White |
574,256 |
2,137 |
55 |
0 |
0 |
0 |
0 |
0 |
|
| 575 |
Electricians |
5: Black |
33,466 |
155 |
6 |
1 |
187 |
187 |
296 |
319 |
|
| 575 |
Electricians |
6: Other |
19,276 |
68 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 575 |
Electricians |
7: Hispanic |
40,665 |
156 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 575 |
Electricians |
8: NonHispanic |
586,333 |
2,204 |
61 |
1 |
11 |
11 |
17 |
17 |
|
| 579 |
Painters,
construction and maintenance |
1: Total |
495,214 |
1,876 |
58 |
3 |
130 |
81 |
230 |
160 |
|
| 579 |
Painters,
construction and maintenance |
2: Male |
461,048 |
1,747 |
56 |
3 |
140 |
87 |
237 |
164 |
|
| 579 |
Painters,
construction and maintenance |
3: Female |
34,166 |
129 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 579 |
Painters,
construction and maintenance |
4: White |
439,798 |
1,632 |
46 |
2 |
68 |
48 |
89 |
64 |
|
| 579 |
Painters,
construction and maintenance |
5: Black |
43,566 |
202 |
10 |
1 |
796 |
801 |
1,232 |
1,130 |
|
| 579 |
Painters,
construction and maintenance |
6: Other |
11,850 |
42 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 579 |
Painters,
construction and maintenance |
7: Hispanic |
70,062 |
261 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 579 |
Painters,
construction and maintenance |
8: NonHispanic |
425,152 |
1,615 |
53 |
3 |
151 |
94 |
252 |
171 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
1: Total |
419,839 |
1,577 |
59 |
1 |
33 |
33 |
24 |
24 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
2: Male |
414,524 |
1,555 |
59 |
1 |
33 |
34 |
25 |
25 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
3: Female |
5,314 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
4: White |
380,160 |
1,414 |
47 |
0 |
0 |
0 |
0 |
0 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
5: Black |
32,057 |
137 |
11 |
1 |
410 |
415 |
292 |
292 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
6: Other |
7,622 |
26 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
7: Hispanic |
30,643 |
111 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 585 |
Plumbers,
pipefitters, and steamfitters |
8: NonHispanic |
389,196 |
1,466 |
55 |
1 |
36 |
36 |
26 |
26 |
|
| 595 |
Roofers |
1: Total |
158,847 |
600 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
2: Male |
156,840 |
592 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
3: Female |
2,007 |
8 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
4: White |
139,456 |
518 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
5: Black |
14,822 |
65 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
6: Other |
4,569 |
17 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
7: Hispanic |
22,136 |
90 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 595 |
Roofers |
8: NonHispanic |
136,711 |
510 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
1: Total |
169,750 |
649 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
2: Male |
167,215 |
638 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
3: Female |
2,535 |
11 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
4: White |
149,659 |
557 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
5: Black |
17,411 |
81 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
6: Other |
2,680 |
11 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
7: Hispanic |
17,771 |
69 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 599 |
Construction trades,
nec. |
8: NonHispanic |
151,980 |
580 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 628 |
Supervisors,
production occs |
1: Total |
1,092,668 |
4,260 |
121 |
1 |
4 |
4 |
3 |
3 |
|
| 628 |
Supervisors,
production occs |
2: Male |
914,717 |
3,521 |
114 |
1 |
5 |
5 |
4 |
4 |
|
| 628 |
Supervisors,
production occs |
3: Female |
177,951 |
739 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 628 |
Supervisors,
production occs |
4: White |
972,493 |
3,752 |
101 |
0 |
0 |
0 |
0 |
0 |
|
| 628 |
Supervisors,
production occs |
5: Black |
94,927 |
414 |
16 |
1 |
50 |
50 |
33 |
33 |
|
| 628 |
Supervisors,
production occs |
6: Other |
25,248 |
94 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 628 |
Supervisors,
production occs |
7: Hispanic |
81,072 |
316 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 628 |
Supervisors,
production occs |
8: NonHispanic |
1,011,596 |
3,944 |
111 |
1 |
5 |
5 |
3 |
3 |
|
| 634 |
Tool and die makers |
1: Total |
143,231 |
539 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
2: Male |
140,484 |
528 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
3: Female |
2,747 |
11 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
4: White |
138,039 |
518 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
5: Black |
2,693 |
12 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
6: Other |
2,499 |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
7: Hispanic |
3,410 |
14 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 634 |
Tool and die makers |
8: NonHispanic |
139,821 |
525 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 637 |
Machinists |
1: Total |
522,513 |
2,003 |
56 |
1 |
20 |
20 |
19 |
19 |
|
| 637 |
Machinists |
2: Male |
499,347 |
1,905 |
56 |
1 |
21 |
21 |
20 |
20 |
|
| 637 |
Machinists |
3: Female |
23,166 |
98 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 637 |
Machinists |
4: White |
479,828 |
1,818 |
50 |
1 |
22 |
22 |
21 |
21 |
|
| 637 |
Machinists |
5: Black |
27,803 |
126 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 637 |
Machinists |
6: Other |
14,883 |
59 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 637 |
Machinists |
7: Hispanic |
34,779 |
133 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 637 |
Machinists |
8: NonHispanic |
487,734 |
1,870 |
54 |
1 |
21 |
22 |
20 |
20 |
|
| 653 |
Sheet metal workers |
1: Total |
143,964 |
543 |
18 |
1 |
58 |
58 |
108 |
110 |
|
| 653 |
Sheet metal workers |
2: Male |
133,631 |
499 |
18 |
1 |
62 |
63 |
116 |
118 |
|
| 653 |
Sheet metal workers |
3: Female |
10,332 |
44 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 653 |
Sheet metal workers |
4: White |
129,086 |
481 |
13 |
1 |
64 |
65 |
113 |
115 |
|
| 653 |
Sheet metal workers |
5: Black |
9,795 |
45 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 653 |
Sheet metal workers |
6: Other |
5,082 |
17 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 653 |
Sheet metal workers |
7: Hispanic |
9,645 |
39 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 653 |
Sheet metal workers |
8: NonHispanic |
134,318 |
504 |
18 |
1 |
62 |
63 |
116 |
116 |
|
| 666 |
Dressmakers |
1: Total |
123,787 |
490 |
17 |
1 |
224 |
225 |
317 |
308 |
|
| 666 |
Dressmakers |
2: Male |
7,254 |
28 |
3 |
1 |
3,676 |
3,624 |
6,286 |
1,406 |
|
| 666 |
Dressmakers |
3: Female |
116,533 |
462 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 666 |
Dressmakers |
4: White |
98,967 |
384 |
14 |
1 |
273 |
274 |
347 |
338 |
|
| 666 |
Dressmakers |
5: Black |
11,937 |
59 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 666 |
Dressmakers |
6: Other |
12,883 |
47 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 666 |
Dressmakers |
7: Hispanic |
16,560 |
65 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 666 |
Dressmakers |
8: NonHispanic |
107,227 |
425 |
15 |
1 |
261 |
261 |
328 |
320 |
|
| 683 |
Electrical/electronic
equipment assemblers |
1: Total |
230,284 |
901 |
24 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
2: Male |
71,527 |
271 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
3: Female |
158,757 |
630 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
4: White |
177,005 |
678 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
5: Black |
27,767 |
126 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
6: Other |
25,511 |
97 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
7: Hispanic |
43,150 |
149 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 683 |
Electrical/electronic
equipment assemblers |
8: NonHispanic |
187,134 |
752 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 686 |
Butchers and meat
cutters |
1: Total |
213,405 |
829 |
25 |
1 |
151 |
151 |
209 |
207 |
|
| 686 |
Butchers and meat
cutters |
2: Male |
170,028 |
649 |
23 |
1 |
191 |
191 |
256 |
253 |
|
| 686 |
Butchers and meat
cutters |
3: Female |
43,376 |
180 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 686 |
Butchers and meat
cutters |
4: White |
169,041 |
640 |
16 |
1 |
189 |
189 |
226 |
224 |
|
| 686 |
Butchers and meat
cutters |
5: Black |
30,558 |
139 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 686 |
Butchers and meat
cutters |
6: Other |
13,805 |
50 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 686 |
Butchers and meat
cutters |
7: Hispanic |
24,788 |
100 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 686 |
Butchers and meat
cutters |
8: NonHispanic |
188,617 |
729 |
23 |
1 |
170 |
170 |
215 |
213 |
|
| 687 |
Bakers |
1: Total |
128,093 |
489 |
16 |
2 |
343 |
249 |
328 |
241 |
|
| 687 |
Bakers |
2: Male |
72,067 |
273 |
10 |
2 |
591 |
429 |
669 |
509 |
|
| 687 |
Bakers |
3: Female |
56,026 |
216 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 687 |
Bakers |
4: White |
104,895 |
403 |
12 |
1 |
250 |
250 |
247 |
245 |
|
| 687 |
Bakers |
5: Black |
13,101 |
57 |
4 |
1 |
1,361 |
1,402 |
1,448 |
1,411 |
|
| 687 |
Bakers |
6: Other |
10,096 |
29 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 687 |
Bakers |
7: Hispanic |
17,322 |
63 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 687 |
Bakers |
8: NonHispanic |
110,771 |
426 |
15 |
2 |
397 |
289 |
373 |
273 |
|
| 689 |
Inspectors, testers,
and graders |
1: Total |
137,766 |
534 |
21 |
1 |
171 |
171 |
118 |
118 |
|
| 689 |
Inspectors, testers,
and graders |
2: Male |
102,203 |
395 |
19 |
1 |
233 |
234 |
163 |
162 |
|
| 689 |
Inspectors, testers,
and graders |
3: Female |
35,562 |
139 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 689 |
Inspectors, testers,
and graders |
4: White |
116,868 |
446 |
17 |
1 |
201 |
201 |
143 |
143 |
|
| 689 |
Inspectors, testers,
and graders |
5: Black |
13,777 |
63 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 689 |
Inspectors, testers,
and graders |
6: Other |
7,121 |
25 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 689 |
Inspectors, testers,
and graders |
7: Hispanic |
7,815 |
33 |
2 |
1 |
3,338 |
3,287 |
3,975 |
3,359 |
|
| 689 |
Inspectors, testers,
and graders |
8: NonHispanic |
129,951 |
501 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
1: Total |
149,560 |
576 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
2: Male |
144,091 |
553 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
3: Female |
5,468 |
23 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
4: White |
131,075 |
493 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
5: Black |
13,386 |
64 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
6: Other |
5,098 |
19 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
7: Hispanic |
7,371 |
23 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 696 |
Stationary engineers |
8: NonHispanic |
142,189 |
553 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
1: Total |
126,355 |
494 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
2: Male |
89,818 |
344 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
3: Female |
36,536 |
150 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
4: White |
112,659 |
432 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
5: Black |
12,003 |
55 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
6: Other |
1,693 |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
7: Hispanic |
12,198 |
50 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 706 |
Punching and stamping
press machine operators |
8: NonHispanic |
114,156 |
444 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
1: Total |
121,344 |
484 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
2: Male |
99,658 |
402 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
3: Female |
21,686 |
82 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
4: White |
105,584 |
413 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
5: Black |
13,419 |
62 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
6: Other |
2,341 |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
7: Hispanic |
15,410 |
58 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 709 |
Grinding/abrading/buffing/polishing
machine operators |
8: NonHispanic |
105,934 |
426 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
1: Total |
103,758 |
408 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
2: Male |
76,325 |
297 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
3: Female |
27,432 |
111 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
4: White |
86,981 |
337 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
5: Black |
14,078 |
61 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
6: Other |
2,699 |
10 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
7: Hispanic |
11,795 |
44 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 719 |
Molding and casting
machine operators |
8: NonHispanic |
91,963 |
364 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
1: Total |
323,661 |
1,201 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
2: Male |
274,255 |
998 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
3: Female |
49,407 |
203 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
4: White |
284,389 |
1,038 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
5: Black |
26,343 |
118 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
6: Other |
12,929 |
45 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
7: Hispanic |
29,482 |
107 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 734 |
Printing press
operators |
8: NonHispanic |
294,180 |
1,094 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
1: Total |
656,092 |
2,669 |
60 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
2: Male |
65,258 |
249 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
3: Female |
590,833 |
2,420 |
58 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
4: White |
475,318 |
1,862 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
5: Black |
125,913 |
593 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
6: Other |
54,860 |
214 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
7: Hispanic |
125,255 |
504 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 744 |
Textile sewing
machine operators |
8: NonHispanic |
530,836 |
2,165 |
50 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
1: Total |
131,707 |
558 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
2: Male |
48,482 |
199 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
3: Female |
83,225 |
359 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
4: White |
89,223 |
346 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
5: Black |
35,105 |
185 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
6: Other |
7,379 |
27 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
7: Hispanic |
21,240 |
91 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 747 |
Pressing machine
operators |
8: NonHispanic |
110,467 |
467 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
1: Total |
174,095 |
711 |
22 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
2: Male |
70,523 |
269 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
3: Female |
103,572 |
442 |
13 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
4: White |
127,444 |
482 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
5: Black |
37,646 |
198 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
6: Other |
9,005 |
31 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
7: Hispanic |
26,935 |
105 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 748 |
Laundering and dry
cleaning machine operators |
8: NonHispanic |
147,160 |
606 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 754 |
Packaging and filling
machine operators |
1: Total |
381,818 |
1,525 |
39 |
1 |
21 |
21 |
33 |
33 |
|
| 754 |
Packaging and filling
machine operators |
2: Male |
143,451 |
539 |
19 |
1 |
58 |
58 |
105 |
104 |
|
| 754 |
Packaging and filling
machine operators |
3: Female |
238,367 |
986 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 754 |
Packaging and filling
machine operators |
4: White |
300,360 |
1,175 |
31 |
1 |
27 |
27 |
42 |
41 |
|
| 754 |
Packaging and filling
machine operators |
5: Black |
61,369 |
281 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 754 |
Packaging and filling
machine operators |
6: Other |
20,088 |
69 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 754 |
Packaging and filling
machine operators |
7: Hispanic |
81,690 |
321 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 754 |
Packaging and filling
machine operators |
8: NonHispanic |
300,127 |
1,204 |
31 |
1 |
27 |
27 |
38 |
37 |
|
| 756 |
Mixing and blending
machine operators |
1: Total |
123,593 |
481 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
2: Male |
108,557 |
422 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
3: Female |
15,036 |
59 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
4: White |
101,261 |
381 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
5: Black |
20,328 |
92 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
6: Other |
2,005 |
8 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
7: Hispanic |
15,189 |
63 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 756 |
Mixing and blending
machine operators |
8: NonHispanic |
108,403 |
418 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 759 |
Painting and paint
spraying machine operators |
1: Total |
184,736 |
715 |
29 |
1 |
152 |
153 |
201 |
200 |
|
| 759 |
Painting and paint
spraying machine operators |
2: Male |
157,929 |
605 |
28 |
1 |
180 |
181 |
236 |
234 |
|
| 759 |
Painting and paint
spraying machine operators |
3: Female |
26,807 |
110 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 759 |
Painting and paint
spraying machine operators |
4: White |
152,631 |
577 |
17 |
1 |
185 |
186 |
261 |
259 |
|
| 759 |
Painting and paint
spraying machine operators |
5: Black |
24,561 |
110 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 759 |
Painting and paint
spraying machine operators |
6: Other |
7,544 |
28 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 759 |
Painting and paint
spraying machine operators |
7: Hispanic |
31,543 |
123 |
4 |
1 |
875 |
895 |
1,127 |
1,105 |
|
| 759 |
Painting and paint
spraying machine operators |
8: NonHispanic |
153,193 |
592 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
1: Total |
204,112 |
808 |
29 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
2: Male |
144,479 |
560 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
3: Female |
59,633 |
248 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
4: White |
163,199 |
629 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
5: Black |
31,649 |
145 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
6: Other |
9,264 |
34 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
7: Hispanic |
31,205 |
118 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 769 |
Slicing and cutting
machine operators |
8: NonHispanic |
172,907 |
690 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 777 |
Miscellaneous machine
operators |
1: Total |
912,207 |
3,566 |
92 |
4 |
69 |
38 |
63 |
35 |
|
| 777 |
Miscellaneous machine
operators |
2: Male |
629,255 |
2,406 |
71 |
3 |
92 |
54 |
87 |
52 |
|
| 777 |
Miscellaneous machine
operators |
3: Female |
282,952 |
1,160 |
21 |
1 |
18 |
18 |
16 |
16 |
|
| 777 |
Miscellaneous machine
operators |
4: White |
728,381 |
2,769 |
66 |
4 |
86 |
47 |
78 |
43 |
|
| 777 |
Miscellaneous machine
operators |
5: Black |
148,646 |
665 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 777 |
Miscellaneous machine
operators |
6: Other |
35,180 |
132 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 777 |
Miscellaneous machine
operators |
7: Hispanic |
117,840 |
460 |
13 |
1 |
193 |
197 |
318 |
324 |
|
| 777 |
Miscellaneous machine
operators |
8: NonHispanic |
794,367 |
3,106 |
79 |
3 |
51 |
32 |
43 |
27 |
|
| 779 |
Machine operators,
not specified |
1: Total |
528,820 |
2,073 |
72 |
2 |
105 |
75 |
82 |
58 |
|
| 779 |
Machine operators,
not specified |
2: Male |
362,688 |
1,392 |
55 |
2 |
156 |
111 |
126 |
90 |
|
| 779 |
Machine operators,
not specified |
3: Female |
166,133 |
681 |
17 |
0 |
0 |
0 |
0 |
0 |
|
| 779 |
Machine operators,
not specified |
4: White |
425,180 |
1,632 |
48 |
2 |
132 |
94 |
108 |
77 |
|
| 779 |
Machine operators,
not specified |
5: Black |
84,933 |
376 |
23 |
0 |
0 |
0 |
0 |
0 |
|
| 779 |
Machine operators,
not specified |
6: Other |
18,707 |
65 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 779 |
Machine operators,
not specified |
7: Hispanic |
55,980 |
214 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 779 |
Machine operators,
not specified |
8: NonHispanic |
472,840 |
1,859 |
62 |
2 |
118 |
83 |
90 |
64 |
|
| 783 |
Welders and cutters |
1: Total |
597,287 |
2,298 |
59 |
2 |
38 |
29 |
31 |
24 |
|
| 783 |
Welders and cutters |
2: Male |
570,138 |
2,187 |
57 |
2 |
40 |
31 |
32 |
25 |
|
| 783 |
Welders and cutters |
3: Female |
27,148 |
111 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 783 |
Welders and cutters |
4: White |
523,193 |
1,998 |
45 |
1 |
12 |
12 |
10 |
10 |
|
| 783 |
Welders and cutters |
5: Black |
56,454 |
238 |
13 |
1 |
292 |
290 |
234 |
232 |
|
| 783 |
Welders and cutters |
6: Other |
17,640 |
62 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 783 |
Welders and cutters |
7: Hispanic |
65,552 |
255 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 783 |
Welders and cutters |
8: NonHispanic |
531,734 |
2,043 |
49 |
2 |
42 |
33 |
34 |
26 |
|
| 785 |
Assemblers |
1: Total |
1,026,023 |
4,055 |
84 |
4 |
85 |
44 |
242 |
191 |
|
| 785 |
Assemblers |
2: Male |
553,313 |
2,136 |
48 |
3 |
119 |
73 |
511 |
418 |
|
| 785 |
Assemblers |
3: Female |
472,709 |
1,919 |
36 |
1 |
46 |
45 |
29 |
29 |
|
| 785 |
Assemblers |
4: White |
828,216 |
3,193 |
67 |
4 |
105 |
55 |
275 |
213 |
|
| 785 |
Assemblers |
5: Black |
149,750 |
679 |
16 |
0 |
0 |
0 |
0 |
0 |
|
| 785 |
Assemblers |
6: Other |
48,057 |
183 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 785 |
Assemblers |
7: Hispanic |
119,226 |
478 |
10 |
1 |
189 |
189 |
118 |
118 |
|
| 785 |
Assemblers |
8: NonHispanic |
906,797 |
3,577 |
74 |
3 |
71 |
44 |
242 |
201 |
|
| 796 |
Production
inspectors, checkers, and examiners |
1: Total |
571,665 |
2,265 |
64 |
1 |
81 |
81 |
298 |
293 |
|
| 796 |
Production
inspectors, checkers, and examiners |
2: Male |
259,447 |
1,000 |
36 |
0 |
0 |
0 |
0 |
0 |
|
| 796 |
Production
inspectors, checkers, and examiners |
3: Female |
312,218 |
1,265 |
28 |
1 |
148 |
148 |
835 |
792 |
|
| 796 |
Production
inspectors, checkers, and examiners |
4: White |
465,378 |
1,806 |
50 |
1 |
99 |
98 |
355 |
348 |
|
| 796 |
Production
inspectors, checkers, and examiners |
5: Black |
82,496 |
365 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 796 |
Production
inspectors, checkers, and examiners |
6: Other |
23,790 |
94 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 796 |
Production
inspectors, checkers, and examiners |
7: Hispanic |
55,311 |
215 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 796 |
Production
inspectors, checkers, and examiners |
8: NonHispanic |
516,354 |
2,050 |
61 |
1 |
89 |
89 |
325 |
318 |
|
| 799 |
Graders and sorters,
except agricultural |
1: Total |
125,068 |
516 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
2: Male |
51,576 |
203 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
3: Female |
73,492 |
313 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
4: White |
94,950 |
381 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
5: Black |
23,863 |
113 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
6: Other |
6,254 |
22 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
7: Hispanic |
29,707 |
124 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 799 |
Graders and sorters,
except agricultural |
8: NonHispanic |
95,361 |
392 |
7 |
0 |
0 |
0 |
0 |
0 |
|
| 804 |
Truck drivers |
1: Total |
2,640,585 |
10,198 |
398 |
8 |
29 |
13 |
27 |
11 |
|
| 804 |
Truck drivers |
2: Male |
2,528,749 |
9,744 |
390 |
8 |
30 |
13 |
28 |
12 |
|
| 804 |
Truck drivers |
3: Female |
111,836 |
454 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 804 |
Truck drivers |
4: White |
2,232,215 |
8,474 |
310 |
4 |
15 |
10 |
14 |
9 |
|
| 804 |
Truck drivers |
5: Black |
356,271 |
1,538 |
82 |
4 |
116 |
66 |
112 |
62 |
|
| 804 |
Truck drivers |
6: Other |
52,099 |
186 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 804 |
Truck drivers |
7: Hispanic |
207,490 |
766 |
28 |
1 |
16 |
16 |
17 |
16 |
|
| 804 |
Truck drivers |
8: NonHispanic |
2,433,095 |
9,432 |
370 |
7 |
30 |
14 |
28 |
12 |
|
| 806 |
Driver-sales workers |
1: Total |
146,319 |
557 |
13 |
1 |
80 |
80 |
77 |
77 |
|
| 806 |
Driver-sales workers |
2: Male |
131,897 |
498 |
13 |
1 |
89 |
88 |
86 |
86 |
|
| 806 |
Driver-sales workers |
3: Female |
14,422 |
59 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 806 |
Driver-sales workers |
4: White |
135,799 |
512 |
13 |
1 |
87 |
86 |
83 |
83 |
|
| 806 |
Driver-sales workers |
5: Black |
7,422 |
33 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 806 |
Driver-sales workers |
6: Other |
3,098 |
12 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 806 |
Driver-sales workers |
7: Hispanic |
9,755 |
36 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 806 |
Driver-sales workers |
8: NonHispanic |
136,564 |
521 |
13 |
1 |
86 |
86 |
82 |
82 |
|
| 808 |
Bus drivers |
1: Total |
437,321 |
1,815 |
71 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
2: Male |
223,457 |
919 |
52 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
3: Female |
213,865 |
896 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
4: White |
322,937 |
1,264 |
54 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
5: Black |
103,439 |
510 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
6: Other |
10,945 |
41 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
7: Hispanic |
28,360 |
111 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 808 |
Bus drivers |
8: NonHispanic |
408,961 |
1,704 |
69 |
0 |
0 |
0 |
0 |
0 |
|
| 809 |
Taxicab drivers and
chauffeurs |
1: Total |
198,640 |
749 |
47 |
4 |
218 |
119 |
198 |
111 |
|
| 809 |
Taxicab drivers and
chauffeurs |
2: Male |
173,020 |
644 |
46 |
4 |
252 |
138 |
228 |
127 |
|
| 809 |
Taxicab drivers and
chauffeurs |
3: Female |
25,620 |
105 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 809 |
Taxicab drivers and
chauffeurs |
4: White |
132,486 |
487 |
29 |
3 |
292 |
174 |
285 |
172 |
|
| 809 |
Taxicab drivers and
chauffeurs |
5: Black |
48,374 |
207 |
17 |
1 |
93 |
91 |
79 |
75 |
|
| 809 |
Taxicab drivers and
chauffeurs |
6: Other |
17,779 |
55 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 809 |
Taxicab drivers and
chauffeurs |
7: Hispanic |
21,138 |
75 |
1 |
1 |
631 |
642 |
447 |
420 |
|
| 809 |
Taxicab drivers and
chauffeurs |
8: NonHispanic |
177,502 |
674 |
46 |
3 |
167 |
103 |
165 |
105 |
|
| 844 |
Operating engineers |
1: Total |
253,326 |
960 |
38 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
2: Male |
247,849 |
942 |
38 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
3: Female |
5,477 |
18 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
4: White |
225,841 |
847 |
34 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
5: Black |
20,881 |
87 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
6: Other |
6,605 |
26 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
7: Hispanic |
14,692 |
58 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 844 |
Operating engineers |
8: NonHispanic |
238,634 |
902 |
36 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
1: Total |
450,241 |
1,785 |
58 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
2: Male |
424,058 |
1,673 |
58 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
3: Female |
26,183 |
112 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
4: White |
355,429 |
1,377 |
40 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
5: Black |
87,722 |
382 |
18 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
6: Other |
7,090 |
26 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
7: Hispanic |
50,177 |
195 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 856 |
Industrial truck and
tractor equipment operators |
8: NonHispanic |
400,064 |
1,590 |
53 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
1: Total |
117,109 |
446 |
9 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
2: Male |
98,087 |
369 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
3: Female |
19,023 |
77 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
4: White |
96,955 |
364 |
5 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
5: Black |
16,993 |
70 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
6: Other |
3,161 |
12 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
7: Hispanic |
9,740 |
38 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 859 |
Miscellaneous
material moving equipment operators |
8: NonHispanic |
107,369 |
408 |
8 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
1: Total |
697,191 |
2,631 |
111 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
2: Male |
676,315 |
2,554 |
108 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
3: Female |
20,877 |
77 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
4: White |
585,900 |
2,156 |
71 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
5: Black |
97,045 |
428 |
36 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
6: Other |
14,246 |
47 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
7: Hispanic |
111,458 |
405 |
10 |
0 |
0 |
0 |
0 |
0 |
|
| 869 |
Construction laborers |
8: NonHispanic |
585,733 |
2,226 |
101 |
0 |
0 |
0 |
0 |
0 |
|
| 877 |
Stock handlers and
baggers |
1: Total |
650,044 |
2,475 |
60 |
1 |
15 |
15 |
7 |
7 |
|
| 877 |
Stock handlers and
baggers |
2: Male |
449,704 |
1,682 |
48 |
1 |
21 |
21 |
9 |
9 |
|
| 877 |
Stock handlers and
baggers |
3: Female |
200,340 |
793 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 877 |
Stock handlers and
baggers |
4: White |
550,640 |
2,064 |
47 |
0 |
0 |
0 |
0 |
0 |
|
| 877 |
Stock handlers and
baggers |
5: Black |
77,266 |
337 |
13 |
1 |
124 |
123 |
64 |
63 |
|
| 877 |
Stock handlers and
baggers |
6: Other |
22,138 |
74 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 877 |
Stock handlers and
baggers |
7: Hispanic |
66,614 |
250 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 877 |
Stock handlers and
baggers |
8: NonHispanic |
583,430 |
2,225 |
54 |
1 |
16 |
16 |
8 |
8 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
1: Total |
571,810 |
2,188 |
57 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
2: Male |
508,323 |
1,927 |
54 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
3: Female |
63,486 |
261 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
4: White |
450,810 |
1,687 |
37 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
5: Black |
105,087 |
446 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
6: Other |
15,913 |
55 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
7: Hispanic |
50,866 |
188 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 883 |
Freight, stock, and
material handlers, nec. |
8: NonHispanic |
520,944 |
2,000 |
53 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
1: Total |
158,092 |
600 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
2: Male |
147,764 |
561 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
3: Female |
10,328 |
39 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
4: White |
138,660 |
507 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
5: Black |
16,431 |
82 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
6: Other |
3,002 |
11 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
7: Hispanic |
18,420 |
65 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 885 |
Garage and service
station related occs |
8: NonHispanic |
139,673 |
535 |
15 |
0 |
0 |
0 |
0 |
0 |
|
| 887 |
Vehicle washers and
equipment cleaners |
1: Total |
167,519 |
656 |
25 |
2 |
252 |
252 |
475 |
465 |
|
| 887 |
Vehicle washers and
equipment cleaners |
2: Male |
147,892 |
572 |
19 |
0 |
0 |
0 |
0 |
0 |
|
| 887 |
Vehicle washers and
equipment cleaners |
3: Female |
19,627 |
84 |
6 |
2 |
2,073 |
2,048 |
1,615 |
1,530 |
|
| 887 |
Vehicle washers and
equipment cleaners |
4: White |
125,081 |
465 |
14 |
0 |
0 |
0 |
0 |
0 |
|
| 887 |
Vehicle washers and
equipment cleaners |
5: Black |
38,325 |
174 |
10 |
2 |
1,021 |
1,012 |
1,358 |
1,286 |
|
| 887 |
Vehicle washers and
equipment cleaners |
6: Other |
4,113 |
17 |
1 |
0 |
0 |
0 |
0 |
0 |
|
| 887 |
Vehicle washers and
equipment cleaners |
7: Hispanic |
23,866 |
90 |
0 |
0 |
0 |
0 |
0 |
0 |
|
| 887 |
Vehicle washers and
equipment cleaners |
8: NonHispanic |
143,653 |
566 |
25 |
2 |
293 |
293 |
522 |
510 |
|
| 888 |
Hand packers and
packagers |
1: Total |
245,670 |
995 |
31 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
2: Male |
87,741 |
343 |
20 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
3: Female |
157,929 |
652 |
11 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
4: White |
195,457 |
770 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
5: Black |
38,411 |
181 |
4 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
6: Other |
11,801 |
44 |
2 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
7: Hispanic |
36,892 |
146 |
6 |
0 |
0 |
0 |
0 |
0 |
|
| 888 |
Hand packers and
packagers |
8: NonHispanic |
208,778 |
849 |
25 |
0 |
0 |
0 |
0 |
0 |
|
| 889 |
Laborers, except
construction |
1: Total |
1,250,422 |
4,887 |
177 |
2 |
19 |
14 |
24 |
19 |
|
| 889 |
Laborers, except
construction |
2: Male |
981,803 |
3,766 |
156 |
2 |
23 |
18 |
34 |
26 |
|
| 889 |
Laborers, except
construction |
3: Female |
268,620 |
1,121 |
21 |
0 |
0 |
0 |
0 |
0 |
|
| 889 |
Laborers, except
construction |
4: White |
994,022 |
3,782 |
120 |
0 |
0 |
0 |
0 |
0 |
|
| 889 |
Laborers, except
construction |
5: Black |
216,372 |
962 |
54 |
2 |
104 |
80 |
112 |
84 |
|
| 889 |
Laborers, except
construction |
6: Other |
40,029 |
143 |
3 |
0 |
0 |
0 |
0 |
0 |
|
| 889 |
Laborers, except
construction |
7: Hispanic |
138,228 |
532 |
12 |
0 |
0 |
0 |
0 |
0 |
|
| 889 |
Laborers, except
construction |
8: NonHispanic |
1,112,194 |
4,355 |
165 |
2 |
21 |
16 |
27 |
20 |
|
|
|
|
|
|
| * DUE TO THE SMALL
NUMBER OF DEATHS PER OCCUPATIONAL SUBPOPULATION, INTERPRETATION OF THESE DATA
SHOULD BE TREATED WITH CAUTION |
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