|
|
|
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 |
|
Male |
2 |
222 |
31 |
259 |
10 |
7 |
34 |
47 |
312 |
|
924 |
Female |
0 |
41 |
4 |
30 |
1 |
1 |
8 |
3 |
66 |
|
154 |
|
RACE/ETHNICITY |
|
White |
2 |
250 |
30 |
262 |
10 |
8 |
40 |
47 |
320 |
|
969 |
Black |
0 |
6 |
1 |
13 |
1 |
0 |
1 |
0 |
19 |
|
41 |
Hispanic |
0 |
6 |
3 |
7 |
0 |
0 |
0 |
2 |
21 |
|
39 |
Other |
0 |
1 |
1 |
7 |
0 |
0 |
1 |
1 |
18 |
|
29 |
|
Total |
2 |
263 |
35 |
289 |
11 |
8 |
42 |
50 |
378 |
|
1,078 |
|
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 |
|
Male |
0.22% |
24.03% |
3.35% |
28.03% |
1.08% |
0.76% |
3.68% |
5.09% |
33.77% |
|
100.00% |
Female |
0.00% |
26.62% |
2.60% |
19.48% |
0.65% |
0.65% |
5.19% |
1.95% |
42.86% |
|
100.00% |
|
RACE/ETHNICITY |
|
White |
0.21% |
25.80% |
3.10% |
27.04% |
1.03% |
0.83% |
4.13% |
4.85% |
33.02% |
|
100.00% |
Black |
0.00% |
14.63% |
2.44% |
31.71% |
2.44% |
0.00% |
2.44% |
0.00% |
46.34% |
|
100.00% |
Hispanic |
0.00% |
15.38% |
7.69% |
17.95% |
0.00% |
0.00% |
0.00% |
5.13% |
53.85% |
|
100.00% |
Other |
0.00% |
3.45% |
3.45% |
24.14% |
0.00% |
0.00% |
3.45% |
3.45% |
62.07% |
|
100.00% |
|
Total |
0.19% |
24.40% |
3.25% |
26.81% |
1.02% |
0.74% |
3.90% |
4.64% |
35.06% |
|
100.00% |
|
*
Non-occupational includes patients, students, those with unassigned
duties, and unknowns. |
Rows may not add to totals due to rounding. |
|