a. Number | ||||||||||
OCCUPATIONAL
AREA
| ||||||||||
Engineering
|
Scientists
|
Supply,
| ||||||||
General
|
Tactical
|
and
|
and
|
Health
|
Admin-
|
Procurement,
|
Non-
| |||
GENDER
|
Officers
|
Operations
|
Intelligence
|
Maintenance
|
Professionals
|
Care
|
istration
|
and Allied
|
Occupational*
|
TOTAL
|
Males |
30
|
2,170
|
30
|
1,696
|
40
|
20
|
493
|
39
|
323
|
4,841
|
Females |
1
|
346
|
5
|
204
|
12
|
3
|
67
|
2
|
61
|
701
|
RACE/ETHNICITY
| ||||||||||
White |
30
|
2,219
|
31
|
1,661
|
47
|
19
|
490
|
34
|
291
|
4,822
|
Black |
1
|
85
|
0
|
93
|
1
|
3
|
22
|
3
|
47
|
255
|
Hispanic |
0
|
99
|
3
|
64
|
2
|
1
|
23
|
2
|
28
|
222
|
Other |
0
|
113
|
1
|
82
|
2
|
0
|
25
|
2
|
18
|
243
|
Total |
31
|
2,516
|
35
|
1,900
|
52
|
23
|
560
|
41
|
384
|
5,542
|
b. Percent | ||||||||||
OCCUPATIONAL
AREA
| ||||||||||
Engineering
|
Scientists
|
Supply,
| ||||||||
General
|
Tactical
|
and
|
and
|
Health
|
Admin-
|
Procurement,
|
Non-
| |||
GENDER
|
Officers
|
Operations
|
Intelligence
|
Maintenance
|
Professionals
|
Care
|
istration
|
and Allied
|
Occupational*
|
TOTAL
|
Males |
0.62%
|
44.83%
|
0.62%
|
35.03%
|
0.83%
|
0.41%
|
10.18%
|
0.81%
|
6.67%
|
100.00%
|
Females |
0.14%
|
49.36%
|
0.71%
|
29.10%
|
1.71%
|
0.43%
|
9.56%
|
0.29%
|
8.70%
|
100.00%
|
RACE/ETHNICITY
| ||||||||||
White |
0.62%
|
46.02%
|
0.64%
|
34.45%
|
0.97%
|
0.39%
|
10.16%
|
0.71%
|
6.03%
|
100.00%
|
Black |
0.39%
|
33.33%
|
0.00%
|
36.47%
|
0.39%
|
1.18%
|
8.63%
|
1.18%
|
18.43%
|
100.00%
|
Hispanic |
0.00%
|
44.59%
|
1.35%
|
28.83%
|
0.90%
|
0.45%
|
10.36%
|
0.90%
|
12.61%
|
100.00%
|
Other |
0.00%
|
46.50%
|
0.41%
|
33.74%
|
0.82%
|
0.00%
|
10.29%
|
0.82%
|
7.41%
|
100.00%
|
Total |
0.56%
|
45.40%
|
0.63%
|
34.28%
|
0.94%
|
0.42%
|
10.10%
|
0.74%
|
6.93%
|
100.00%
|
* Non-occupational includes patients, students, those with unassigned duties, and unknowns. | ||||||||||
Rows may not add to totals due to rounding. | ||||||||||