|
|
STATE OF FLORIDA AUTO THEFT STATISTICS FOR 2004 |
|
|
|
|
|
|
COUNTY |
ORDER |
|
|
|
|
THEFTS |
RANKING |
THEFTS |
RATE |
RANKING |
THEFTS |
+/- |
POPULATION |
STATE |
|
|
COUNTY |
2004 |
THEFT |
% OF |
|
RATE |
2003 |
PERCENT |
|
% OF |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
STATE TOTALS |
78295 |
|
100.00% |
447 |
|
81536 |
0 |
17516732 |
100.00% |
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
ALACHUA |
744 |
18 |
0 |
315 |
16 |
877 |
0 |
236174 |
0 |
|
2 |
BAKER |
32 |
54 |
0 |
134 |
54 |
42 |
0 |
23963 |
0 |
|
3 |
BAY |
517 |
23 |
0 |
326 |
14 |
450 |
0 |
158437 |
0 |
|
4 |
BRADFORD |
48 |
49 |
0 |
173 |
43 |
48 |
0 |
27740 |
0 |
|
5 |
BREVARD |
1178 |
11 |
0 |
226 |
26 |
1324 |
0 |
521422 |
0 |
|
6 |
BROWARD |
7060 |
3 |
0 |
410 |
10 |
7487 |
0 |
1723131 |
0 |
|
7 |
CALHOUN |
8 |
65 |
0 |
59 |
66 |
11 |
0 |
13610 |
0 |
|
8 |
CHARLOTTE |
272 |
28 |
0 |
173 |
42 |
248 |
0 |
156985 |
0 |
|
9 |
CITRUS |
179 |
34 |
0 |
139 |
52 |
154 |
0 |
129110 |
0 |
|
10 |
CLAY |
292 |
27 |
0 |
179 |
38 |
262 |
0 |
163461 |
0 |
|
11 |
COLLIER |
416 |
24 |
0 |
136 |
53 |
460 |
0 |
306186 |
0 |
|
12 |
COLUMBIA |
121 |
37 |
0 |
200 |
32 |
184 |
0 |
60453 |
0 |
|
13 |
MIAMI-DADE |
19052 |
1 |
0 |
801 |
1 |
20650 |
0 |
2379818 |
0 |
|
14 |
DESOTO |
35 |
51 |
0 |
103 |
62 |
59 |
0 |
34105 |
0 |
|
15 |
DIXIE |
18 |
63 |
0 |
121 |
58 |
21 |
0 |
14928 |
0 |
|
16 |
DUVAL |
4894 |
6 |
0 |
582 |
4 |
4999 |
0 |
840474 |
0 |
|
17 |
ESCAMBIA |
784 |
17 |
0 |
255 |
22 |
736 |
0 |
307226 |
0 |
|
18 |
FLAGLER |
102 |
40 |
0 |
146 |
51 |
83 |
0 |
69759 |
0 |
|
19 |
FRANKLIN |
18 |
62 |
0 |
169 |
46 |
19 |
0 |
10649 |
0 |
|
20 |
GADSDEN |
81 |
46 |
0 |
173 |
44 |
75 |
0 |
46857 |
0 |
|
21 |
GILCHRIST |
28 |
55 |
0 |
176 |
39 |
22 |
0 |
15900 |
0 |
|
22 |
GLADES |
20 |
60 |
0 |
186 |
36 |
11 |
1 |
10733 |
0 |
|
23 |
GULF |
19 |
61 |
0 |
117 |
60 |
15 |
0 |
16171 |
0 |
|
24 |
HAMILTON |
43 |
50 |
0 |
301 |
17 |
49 |
0 |
14303 |
0 |
|
25 |
HARDEE |
63 |
48 |
0 |
227 |
25 |
64 |
0 |
27787 |
0 |
|
26 |
HENDRY |
106 |
39 |
0 |
283 |
18 |
103 |
0 |
37394 |
0 |
|
27 |
HERNANDO |
267 |
29 |
0 |
184 |
37 |
319 |
0 |
145207 |
0 |
|
28 |
HIGHLANDS |
174 |
35 |
0 |
189 |
34 |
167 |
0 |
92057 |
0 |
|
29 |
HILLSBOROUGH |
7865 |
2 |
0 |
710 |
2 |
9599 |
0 |
1108435 |
0 |
|
30 |
HOLMES |
21 |
59 |
0 |
110 |
61 |
13 |
1 |
19012 |
0 |
|
31 |
INDIAN RIVER |
220 |
33 |
0 |
173 |
40 |
220 |
0 |
126829 |
0 |
|
32 |
JACKSON |
76 |
47 |
0 |
156 |
48 |
64 |
0 |
48870 |
0 |
|
33 |
JEFFERSON |
9 |
64 |
0 |
64 |
65 |
18 |
-1 |
14064 |
0 |
|
34 |
LAFAYETTE |
6 |
66 |
0 |
80 |
64 |
6 |
* |
7535 |
0 |
|
35 |
LAKE |
555 |
22 |
0 |
220 |
28 |
506 |
0 |
251878 |
0 |
|
36 |
LEE |
2209 |
8 |
0 |
424 |
9 |
1956 |
0 |
521253 |
0 |
|
37 |
LEON |
1024 |
14 |
0 |
388 |
11 |
927 |
0 |
263896 |
0 |
|
38 |
LEVY |
81 |
45 |
0 |
216 |
29 |
84 |
0 |
37486 |
0 |
|
39 |
LIBERTY |
4 |
67 |
0 |
54 |
67 |
6 |
0 |
7354 |
0 |
|
40 |
MADISON |
23 |
57 |
0 |
118 |
59 |
30 |
0 |
19498 |
0 |
|
41 |
MANATEE |
1130 |
12 |
0 |
376 |
12 |
1150 |
0 |
300302 |
0 |
|
42 |
MARION |
659 |
19 |
0 |
225 |
27 |
588 |
0 |
293317 |
0 |
|
43 |
MARTIN |
224 |
32 |
0 |
163 |
47 |
230 |
0 |
137637 |
0 |
|
44 |
MONROE |
367 |
25 |
0 |
452 |
7 |
308 |
0 |
81236 |
0 |
|
45 |
NASSAU |
122 |
36 |
0 |
188 |
35 |
130 |
0 |
65016 |
0 |
|
46 |
OKALOOSA |
321 |
26 |
0 |
173 |
45 |
294 |
0 |
185778 |
0 |
|
47 |
OKEECHOBEE |
91 |
42 |
0 |
239 |
23 |
63 |
0 |
38004 |
0 |
|
48 |
ORANGE |
6393 |
5 |
0 |
631 |
3 |
6335 |
0 |
1013937 |
0 |
|
49 |
OSCEOLA |
633 |
20 |
0 |
280 |
19 |
607 |
0 |
225816 |
0 |
|
50 |
PALM BEACH |
6913 |
4 |
0 |
556 |
5 |
7435 |
0 |
1242270 |
0 |
|
51 |
PASCO |
1081 |
13 |
0 |
277 |
20 |
971 |
0 |
389776 |
0 |
|
52 |
PINELLAS |
4548 |
7 |
0 |
482 |
6 |
3945 |
0 |
943640 |
0 |
|
53 |
POLK |
1714 |
10 |
0 |
324 |
15 |
1809 |
0 |
528389 |
0 |
|
54 |
PUTNAM |
242 |
31 |
0 |
330 |
13 |
238 |
0 |
73226 |
0 |
|
55 |
ST JOHNS |
259 |
30 |
0 |
173 |
41 |
220 |
0 |
149336 |
0 |
|
56 |
ST LUCIE |
596 |
21 |
0 |
263 |
21 |
587 |
0 |
226216 |
0 |
|
57 |
SANTA ROSA |
112 |
38 |
0 |
84 |
63 |
107 |
0 |
133721 |
0 |
|
58 |
SARASOTA |
805 |
16 |
0 |
228 |
24 |
749 |
0 |
353247 |
0 |
|
59 |
SEMINOLE |
869 |
15 |
0 |
215 |
30 |
898 |
0 |
403361 |
0 |
|
60 |
SUMTER |
87 |
43 |
0 |
131 |
55 |
85 |
0 |
66416 |
0 |
|
61 |
SUWANNEE |
81 |
44 |
0 |
215 |
31 |
87 |
0 |
37713 |
0 |
|
62 |
TAYLOR |
27 |
56 |
0 |
129 |
57 |
55 |
-1 |
20941 |
0 |
|
63 |
UNION |
22 |
58 |
0 |
150 |
49 |
21 |
0 |
14620 |
0 |
|
64 |
VOLUSIA |
2173 |
9 |
0 |
449 |
8 |
2098 |
0 |
484185 |
0 |
|
65 |
WAKULLA |
33 |
53 |
0 |
129 |
56 |
46 |
0 |
25505 |
0 |
|
66 |
WALTON |
96 |
41 |
0 |
190 |
33 |
78 |
0 |
50543 |
0 |
|
67 |
WASHINGTON |
33 |
52 |
0 |
147 |
50 |
34 |
0 |
22434 |
0 |
F.D.L.E. -U.C.R.
Auto Theft Data Analyzed by Michael Donzsky |