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Felony Defendants in Large Urban Counties, 2004 - Statistical Tables
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Felony Defendants in Large Urban Counties, 2004 - Statistical Tables
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Appendix table C. Gender and age of felony defendants, by SCPS jurisdiction, 2004
| County (State) |
Percent of felony defendants |
| |
| Gender |
|
Age at arrest |
| |
|
| Total |
Male |
Female |
Total |
Under 21 |
21-29 |
30-39 |
40 or older |
| |
| Total |
100 |
% |
82 |
% |
18 |
% |
|
100 |
% |
17 |
% |
33 |
% |
26 |
% |
25 |
% |
| Jefferson (AL) |
100 |
% |
73 |
% |
27 |
% |
|
100 |
% |
7 |
% |
40 |
% |
29 |
% |
26 |
% |
| Maricopa (AZ) |
100 |
|
82 |
|
18 |
|
|
100 |
|
16 |
|
37 |
|
31 |
|
16 |
|
| Pima (AZ) |
100 |
|
82 |
|
18 |
|
|
100 |
|
17 |
|
37 |
|
25 |
|
22 |
|
| Alameda (CA) |
100 |
|
83 |
|
17 |
|
|
100 |
|
19 |
|
28 |
|
26 |
|
27 |
|
| Contra Costa (CA) |
100 |
|
77 |
|
23 |
|
|
100 |
|
7 |
|
31 |
|
26 |
|
36 |
|
| Los Angeles (CA) |
100 |
|
84 |
|
16 |
|
|
100 |
|
11 |
|
34 |
|
27 |
|
29 |
|
| Orange (CA) |
100 |
|
82 |
|
18 |
|
|
100 |
|
15 |
|
36 |
|
28 |
|
22 |
|
| Riverside (CA) |
100 |
|
77 |
|
24 |
|
|
100 |
|
12 |
|
34 |
|
29 |
|
25 |
|
| San Bernardino (CA) |
100 |
% |
82 |
% |
18 |
% |
|
100 |
% |
18 |
% |
38 |
% |
23 |
% |
22 |
% |
| San Diego (CA) |
100 |
|
79 |
|
21 |
|
|
100 |
|
12 |
|
27 |
|
30 |
|
30 |
|
| San Mateo (CA) |
100 |
|
84 |
|
16 |
|
|
100 |
|
11 |
|
29 |
|
29 |
|
31 |
|
| Santa Clara (CA) |
100 |
|
82 |
|
18 |
|
|
100 |
|
10 |
|
41 |
|
26 |
|
23 |
|
| Broward (FL) |
100 |
|
82 |
|
18 |
|
|
100 |
|
14 |
|
32 |
|
22 |
|
33 |
|
| Miami-Dade (FL) |
100 |
|
84 |
|
16 |
|
|
100 |
|
13 |
|
29 |
|
25 |
|
34 |
|
| Palm Beach (FL) |
100 |
|
83 |
|
17 |
|
|
100 |
|
22 |
|
29 |
|
21 |
|
28 |
|
| Pinellas (FL) |
100 |
|
78 |
|
22 |
|
|
100 |
|
16 |
|
31 |
|
23 |
|
30 |
|
| Fulton (GA) |
100 |
% |
77 |
% |
23 |
% |
|
100 |
% |
11 |
% |
37 |
% |
26 |
% |
26 |
% |
| Honolulu (HI) |
100 |
|
86 |
|
14 |
|
|
100 |
|
8 |
|
34 |
|
27 |
|
32 |
|
| Cook (IL) |
100 |
|
82 |
|
18 |
|
|
100 |
|
19 |
|
34 |
|
22 |
|
25 |
|
| Marion (IN) |
100 |
|
79 |
|
21 |
|
|
100 |
|
13 |
|
34 |
|
29 |
|
24 |
|
| Baltimore (MD) |
100 |
|
78 |
|
22 |
|
|
100 |
|
23 |
|
37 |
|
23 |
|
17 |
|
| Montgomery (MD) |
100 |
|
82 |
|
18 |
|
|
100 |
|
20 |
|
30 |
|
25 |
|
26 |
|
| Wayne (MI) |
100 |
|
79 |
|
21 |
|
|
100 |
|
14 |
|
28 |
|
28 |
|
30 |
|
| Essex (NJ) |
100 |
|
80 |
|
20 |
|
|
100 |
|
16 |
|
31 |
|
28 |
|
26 |
|
| Bronx (NY) |
100 |
% |
82 |
% |
18 |
% |
|
100 |
% |
26 |
% |
29 |
% |
25 |
% |
21 |
% |
| Kings (NY) |
100 |
|
88 |
|
12 |
|
|
100 |
|
32 |
|
27 |
|
17 |
|
24 |
|
| Nassau (NY) |
100 |
|
82 |
|
18 |
|
|
100 |
|
17 |
|
37 |
|
23 |
|
24 |
|
| Queens (NY) |
100 |
|
87 |
|
13 |
|
|
100 |
|
29 |
|
29 |
|
24 |
|
18 |
|
| Westchester (NY) |
100 |
|
85 |
|
15 |
|
|
100 |
|
25 |
|
34 |
|
21 |
|
21 |
|
| Franklin (OH) |
100 |
|
82 |
|
18 |
|
|
100 |
|
15 |
|
37 |
|
26 |
|
22 |
|
| Montgomery (PA) |
100 |
|
88 |
|
12 |
|
|
100 |
|
22 |
|
39 |
|
23 |
|
16 |
|
| Philadelphia (PA) |
100 |
|
83 |
|
17 |
|
|
100 |
|
24 |
|
37 |
|
21 |
|
18 |
|
| Shelby (TN) |
100 |
% |
82 |
% |
18 |
% |
|
100 |
% |
15 |
% |
36 |
% |
28 |
% |
21 |
% |
| Dallas (TX) |
100 |
|
84 |
|
16 |
|
|
100 |
|
13 |
|
41 |
|
24 |
|
22 |
|
| El Paso (TX) |
100 |
|
86 |
|
14 |
|
|
100 |
|
19 |
|
39 |
|
25 |
|
17 |
|
| Harris (TX) |
100 |
|
79 |
|
21 |
|
|
100 |
|
17 |
|
32 |
|
28 |
|
24 |
|
| Tarrant (TX) |
100 |
|
82 |
|
18 |
|
|
100 |
|
20 |
|
32 |
|
23 |
|
25 |
|
| Travis (TX) |
100 |
|
82 |
|
18 |
|
|
100 |
|
22 |
|
37 |
|
22 |
|
19 |
|
| Salt Lake (UT) |
100 |
|
81 |
|
20 |
|
|
100 |
|
14 |
|
32 |
|
30 |
|
24 |
|
| Fairfax (VA) |
100 |
|
79 |
|
21 |
|
|
100 |
|
22 |
|
36 |
|
22 |
|
20 |
|
| |
| Note: Detail may not add to 100% because of rounding. |
| |
Source: State Court Processing Statistics (SCPS)
See also Methodology. |
