|
|
| Rank |
|
|
|
|
|
1
|
SIMI VALLEY, CA |
108,469
|
2,401
|
2,213.5
|
|
2
|
THOUSAND OAKS, CA |
112,559
|
2,547
|
2,262.8
|
|
3
|
AMHERST TOWN, NY |
107,331
|
2,749
|
2,561.2
|
|
4
|
SANTA CLARITA, CA |
125,435
|
3,255
|
2,595.0
|
|
5
|
SUNNYVALE, CA |
121,284
|
3,488
|
2,875.9
|
|
6
|
IRVINE, CA |
127,410
|
4,090
|
3,210.1
|
|
7
|
LIVONIA, MI |
101,450
|
3,422
|
3,373.1
|
|
8
|
ORANGE, CA |
118,445
|
4,085
|
3,448.9
|
|
9
|
STERLING HEIGHTS, MI |
120,737
|
4,570
|
3,785.1
|
|
10
|
HUNTINGTON BEACH, CA |
191,911
|
7,305
|
3,806.5
|
|
11
|
GLENDALE, CA |
181,019
|
6,966
|
3,848.2
|
|
12
|
BURBANK, CA |
101,082
|
4,161
|
4,116.5
|
|
13
|
SAN JOSE, CA |
830,374
|
34,287
|
4,129.1
|
|
14
|
RANCHO CUCAMONGA, CA |
116,431
|
4,828
|
4,146.7
|
|
15
|
FREMONT, CA |
186,186
|
7,769
|
4,172.7
|
|
16
|
ANN ARBOR, MI |
109,939
|
4,696
|
4,271.5
|
|
17
|
NORWALK, CA |
102,176
|
4,388
|
4,294.6
|
|
18
|
GARDEN GROVE, CA |
150,062
|
6,477
|
4,316.2
|
|
19
|
EL MONTE, CA |
106,149
|
4,597
|
4,330.7
|
|
20
|
FULLERTON, CA |
118,524
|
5,246
|
4,426.1
|
|
21
|
YONKERS, NY |
183,650
|
8,210
|
4,470.5
|
|
22
|
SANTA ANA, CA |
294,963
|
13,213
|
4,479.5
|
|
23
|
HENDERSON, NV |
112,217
|
5,029
|
4,481.5
|
|
24
|
GREEN BAY, WI |
104,283
|
4,677
|
4,484.9
|
|
25
|
CHESAPEAKE, VA |
183,965
|
8,463
|
4,600.3
|
|
26
|
MADISON, WI |
197,572
|
9,096
|
4,603.9
|
|
27
|
STAMFORD, CT |
107,165
|
4,955
|
4,623.7
|
|
28
|
DOWNEY, CA |
101,309
|
4,785
|
4,723.2
|
|
29
|
VIRGINIA BEACH, VA |
439,851
|
20,819
|
4,733.2
|
|
30
|
WEST COVINA, CA |
104,766
|
4,968
|
4,742.0
|
|
31
|
GARLAND, TX |
201,336
|
9,562
|
4,749.3
|
|
32
|
SIOUX FALLS, SD |
110,891
|
5,354
|
4,828.2
|
|
33
|
OCEANSIDE, CA |
148,308
|
7,197
|
4,852.7
|
|
34
|
LANCASTER, CA |
120,881
|
5,947
|
4,919.7
|
|
35
|
CAMBRIDGE, MA |
100,725
|
4,968
|
4,932.2
|
|
36
|
MIDLAND, TX |
100,087
|
4,966
|
4,961.7
|
|
37
|
TORRANCE, CA |
140,185
|
7,054
|
5,031.9
|
|
38
|
HAMPTON, VA |
142,248
|
7,167
|
5,038.4
|
|
39
|
PALMDALE, CA |
104,894
|
5,311
|
5,063.2
|
|
40
|
PLANO, TX |
163,817
|
8,318
|
5,077.6
|
|
41
|
ERIE, PA |
108,432
|
5,532
|
5,101.8
|
|
42
|
ANAHEIM, CA |
286,146
|
14,650
|
5,119.8
|
|
43
|
FONTANA, CA |
105,211
|
5,430
|
5,161.1
|
|
44
|
ABILENE, TX |
114,523
|
5,971
|
5,213.8
|
|
45
|
NEW YORK, NY |
7,339,594
|
383,342
|
5,222.9
|
|
46
|
FORT COLLINS, CO |
103,472
|
5,448
|
5,265.2
|
|
47
|
SAN DIEGO, CA |
1,168,364
|
61,573
|
5,270.0
|
|
48
|
PITTSBURGH, PA |
354,308
|
18,763
|
5,295.7
|
|
49
|
POMONA, CA |
145,916
|
7,789
|
5,338.0
|
|
50
|
OXNARD, CA |
147,937
|
7,910
|
5,346.9
|
|
51
|
NEWPORT NEWS, VA |
182,487
|
9,829
|
5,386.1
|
|
52
|
PASADENA, TX |
134,568
|
7,278
|
5,408.4
|
|
53
|
PASADENA, CA |
136,077
|
7,423
|
5,455.0
|
|
54
|
MESQUITE, TX |
117,795
|
6,452
|
5,477.3
|
|
55
|
IRVING, TX |
170,960
|
9,483
|
5,546.9
|
|
56
|
INGLEWOOD, CA |
111,650
|
6,241
|
5,589.8
|
|
57
|
EVANSVILLE, IN |
131,455
|
7,405
|
5,633.1
|
|
58
|
BOISE, ID |
153,258
|
8,693
|
5,672.1
|
|
59
|
LAKEWOOD, CO |
131,786
|
7,595
|
5,763.1
|
|
60
|
ESCONDIDO, CA |
118,003
|
6,857
|
5,810.9
|
|
61
|
SANTA ROSA, CA |
118,625
|
6,905
|
5,820.9
|
|
62
|
CHULA VISTA, CA |
151,377
|
8,822
|
5,827.8
|
|
63
|
SCOTTSDALE, AZ |
165,644
|
9,737
|
5,878.3
|
|
64
|
LONG BEACH, CA |
440,023
|
26,308
|
5,978.8
|
|
65
|
WORCESTER, MA |
166,782
|
10,026
|
6,011.4
|
|
66
|
PATERSON, NJ |
139,759
|
8,448
|
6,044.7
|
|
67
|
GRAND PRAIRIE, TX |
112,930
|
6,882
|
6,094.0
|
|
68
|
AURORA, CO |
262,188
|
15,982
|
6,095.6
|
|
69
|
MORENO VALLEY, CA |
141,292
|
8,733
|
6,180.8
|
|
70
|
KNOXVILLE, TN |
174,054
|
10,766
|
6,185.4
|
|
71
|
COLORADO SPRINGS, CO |
331,020
|
20,523
|
6,199.9
|
|
72
|
ALEXANDRIA, VA |
114,996
|
7,143
|
6,211.5
|
|
73
|
SALINAS, CA |
121,517
|
7,554
|
6,216.4
|
|
74
|
RIVERSIDE, CA |
245,081
|
15,493
|
6,321.6
|
|
75
|
COLUMBUS, GA |
194,345
|
12,290
|
6,323.8
|
|
76
|
ANCHORAGE, AK |
254,774
|
16,178
|
6,349.9
|
|
77
|
LEXINGTON, KY |
241,150
|
15,328
|
6,356.2
|
|
78
|
LUBBOCK, TX |
202,403
|
12,948
|
6,397.1
|
|
79
|
CONCORD, CA |
113,479
|
7,302
|
6,434.7
|
|
80
|
BAKERSFIELD, CA |
193,777
|
12,583
|
6,493.5
|
|
81
|
ONTARIO, CA |
136,742
|
8,907
|
6,513.7
|
|
82
|
WICHITA FALLS, TX |
101,755
|
6,704
|
6,588.4
|
|
83
|
CHANDLER, AZ |
129,554
|
8,550
|
6,599.6
|
|
84
|
DENVER, CO |
516,224
|
34,314
|
6,647.1
|
|
85
|
MONTGOMERY, AL |
197,972
|
13,202
|
6,668.6
|
|
86
|
HAYWARD, CA |
117,233
|
7,875
|
6,717.4
|
|
87
|
LOS ANGELES, CA |
3,498,139
|
235,258
|
6,725.2
|
|
88
|
RENO, NV |
159,559
|
10,854
|
6,802.5
|
|
89
|
HONOLULU, HI |
878,044
|
60,059
|
6,840.1
|
|
90
|
LAS VEGAS, NV |
831,303
|
56,943
|
6,849.8
|
|
91
|
SYRACUSE, NY |
160,033
|
10,999
|
6,873.0
|
|
92
|
PHILADELPHIA, PA |
1,528,403
|
105,766
|
6,920.0
|
|
93
|
LINCOLN, NB |
206,704
|
14,353
|
6,943.7
|
|
94
|
RALEIGH, NC |
245,176
|
17,080
|
6,966.4
|
|
95
|
PUEBLO, CO |
105,059
|
7,372
|
7,017.0
|
|
96
|
ALLENTOWN, PA |
105,372
|
7,444
|
7,064.5
|
|
97
|
ARLINGTON, TX |
298,632
|
21,312
|
7,136.5
|
|
98
|
AKRON, OH |
223,303
|
16,007
|
7,168.3
|
|
99
|
MODESTO, CA |
178,865
|
12,840
|
7,178.6
|
|
100
|
LAREDO, TX |
156,032
|
11,240
|
7,203.7
|
|
101
|
TULSA, OK |
379,798
|
27,373
|
7,207.3
|
|
102
|
JERSEY CITY, NJ |
228,424
|
16,704
|
7,312.7
|
|
103
|
CLEARWATER, FL |
103,036
|
7,577
|
7,353.7
|
|
104
|
GLENDALE, AZ |
183,029
|
13,480
|
7,365.0
|
|
105
|
EL PASO, TX |
602,951
|
45,134
|
7,485.5
|
|
106
|
FORT WAYNE, IN |
186,196
|
13,966
|
7,500.7
|
|
107
|
CLEVELAND, OH |
496,049
|
37,409
|
7,541.4
|
|
108
|
BRIDGEPORT, CT |
133,015
|
10,041
|
7,548.8
|
|
109
|
MESA, AZ |
340,818
|
25,735
|
7,551.0
|
|
110
|
SPRINGFIELD, MO |
152,024
|
11,505
|
7,567.9
|
|
111
|
GRAND RAPIDS, MI |
192,358
|
14,600
|
7,590.0
|
|
112
|
SAN FRANCISCO, CA |
745,127
|
56,593
|
7,595.1
|
|
113
|
CINCINNATI, OH |
360,457
|
27,455
|
7,616.7
|
|
114
|
HOUSTON, TX |
1,772,143
|
135,329
|
7,636.5
|
|
115
|
LOUISVILLE, KY |
274,506
|
21,031
|
7,661.4
|
|
116
|
NORFOLK, VA |
245,956
|
18,854
|
7,665.6
|
|
117
|
OMAHA, NB |
350,607
|
26,939
|
7,683.5
|
|
118
|
WATERBURY, CT |
103,490
|
7,952
|
7,683.8
|
|
119
|
INDEPENDENCE, MO |
113,382
|
8,771
|
7,735.8
|
|
120
|
ST. PAUL, MN |
267,292
|
20,704
|
7,745.8
|
|
121
|
ALBANY, NY |
104,919
|
8,130
|
7,748.8
|
|
122
|
DES MOINES, IA |
195,455
|
15,154
|
7,753.2
|
|
123
|
AUSTIN, TX |
537,484
|
42,279
|
7,866.1
|
|
124
|
MILWAUKEE, WI |
627,139
|
49,646
|
7,916.3
|
|
125
|
WICHITA, KS |
312,706
|
24,881
|
7,956.7
|
|
126
|
VALLEJO, CA |
113,069
|
8,997
|
7,957.1
|
|
127
|
LANSING, MI |
120,821
|
9,744
|
8,064.8
|
|
128
|
GREENSBORO, NC |
203,186
|
16,393
|
8,068.0
|
|
129
|
BOSTON, MA |
552,519
|
44,711
|
8,092.2
|
|
130
|
PORTSMOUTH, VA |
105,404
|
8,582
|
8,142.0
|
|
131
|
SPOKANE, WA |
199,636
|
16,286
|
8,157.8
|
|
132
|
AMARILLO, TX |
171,779
|
14,088
|
8,201.2
|
|
133
|
LAFAYETTE, LA |
103,134
|
8,482
|
8,224.3
|
|
134
|
FORT WORTH, TX |
470,254
|
38,902
|
8,272.6
|
|
135
|
BROWNSVILLE, TX |
117,511
|
9,868
|
8,397.5
|
|
136
|
TOLEDO, OH |
324,610
|
27,488
|
8,468.0
|
|
137
|
BUFFALO, NY |
313,238
|
26,644
|
8,506.0
|
|
138
|
ELIZABETH, NJ |
107,427
|
9,209
|
8,572.3
|
|
139
|
SAN ANTONIO, TX |
1,021,477
|
87,710
|
8,586.6
|
|
140
|
STOCKTON, CA |
225,799
|
19,401
|
8,592.2
|
|
141
|
BEAUMONT, TX |
119,715
|
10,309
|
8,611.3
|
|
142
|
JACKSONVILLE, FL |
690,367
|
59,534
|
8,623.5
|
|
143
|
PROVIDENCE, RI |
149,805
|
13,114
|
8,754.0
|
|
144
|
HUNTSVILLE, AL |
162,376
|
14,330
|
8,825.2
|
|
145
|
SACRAMENTO, CA |
379,283
|
33,780
|
8,906.3
|
|
146
|
TEMPE, AZ |
156,788
|
14,031
|
8,949.0
|
|
147
|
SALEM, OR |
119,822
|
10,732
|
8,956.6
|
|
148
|
SAVANNAH, GA |
146,534
|
13,198
|
9,006.8
|
|
149
|
ROCHESTER, NY |
231,373
|
20,928
|
9,045.1
|
|
150
|
HIALEAH, FL |
200,339
|
18,210
|
9,089.6
|
|
151
|
SAN BERNARDINO, CA |
184,303
|
16,971
|
9,208.2
|
|
152
|
CHATTANOOGA, TN |
156,524
|
14,688
|
9,383.9
|
|
153
|
MOBILE, AL |
207,106
|
19,512
|
9,421.3
|
|
154
|
DALLAS, TX |
1,060,585
|
100,401
|
9,466.6
|
|
155
|
COLUMBUS, OH |
640,297
|
61,083
|
9,539.8
|
|
156
|
PHOENIX, AZ |
1,139,793
|
108,749
|
9,541.1
|
|
157
|
RICHMOND, VA |
204,881
|
19,771
|
9,650.0
|
|
158
|
CHARLOTTE-MECKLENBURG, NC |
554,070
|
53,523
|
9,660.0
|
|
159
|
GARY, IN |
116,024
|
11,229
|
9,678.2
|
|
160
|
ST. PETERSBURG, FL |
246,229
|
23,843
|
9,683.3
|
|
161
|
HOLLYWOOD, FL |
128,996
|
12,535
|
9,717.4
|
|
162
|
TUCSON, AZ |
472,385
|
46,866
|
9,921.1
|
|
163
|
DAYTON, OH |
179,680
|
17,841
|
9,929.3
|
|
164
|
EUGENE, OR |
122,637
|
12,181
|
9,932.6
|
|
165
|
INDIANAPOLIS, IN |
376,531
|
37,917
|
10,070.1
|
|
166
|
SOUTH BEND, IN |
106,718
|
10,822
|
10,140.7
|
|
167
|
TALLAHASSEE, FL |
138,001
|
14,018
|
10,157.9
|
|
168
|
BERKELEY, CA |
101,250
|
10,332
|
10,204.4
|
|
169
|
SEATTLE, WA |
539,591
|
55,636
|
10,310.8
|
|
170
|
JACKSON, MS |
196,619
|
20,466
|
10,409.0
|
|
171
|
WACO, TX |
110,213
|
11,553
|
10,482.4
|
|
172
|
OAKLAND, CA |
372,145
|
39,174
|
10,526.5
|
|
173
|
HARTFORD, CT |
124,223
|
13,188
|
10,616.4
|
|
174
|
TACOMA, WA |
189,568
|
20,143
|
10,625.7
|
|
175
|
CORPUS CHRISTI, TX |
286,660
|
30,467
|
10,628.3
|
|
176
|
FRESNO, CA |
392,049
|
41,688
|
10,633.4
|
|
177
|
PORTLAND, OR |
467,906
|
50,306
|
10,751.3
|
|
178
|
BIRMINGHAM, AL |
272,169
|
29,283
|
10,759.1
|
|
179
|
NEW ORLEANS, LA |
488,300
|
53,919
|
11,042.2
|
|
180
|
MEMPHIS, TN |
631,626
|
70,283
|
11,127.3
|
|
181
|
NASHVILLE, TN |
530,059
|
59,467
|
11,218.9
|
|
182
|
MINNEAPOLIS, MN |
361,595
|
40,826
|
11,290.5
|
|
183
|
ALBUQUERQUE, NM |
426,736
|
48,252
|
11,307.2
|
|
184
|
DURHAM, NC |
148,571
|
16,834
|
11,330.6
|
|
185
|
LITTLE ROCK, AR |
182,799
|
21,016
|
11,496.8
|
|
186
|
FLINT, MI |
139,588
|
16,054
|
11,501.0
|
|
187
|
COLUMBIA, SC |
105,316
|
12,154
|
11,540.5
|
|
188
|
KANSAS CITY, MO |
448,474
|
52,300
|
11,661.8
|
|
189
|
WINSTON-SALEM, NC |
160,678
|
18,974
|
11,808.7
|
|
190
|
SHREVEPORT, LA |
199,418
|
23,657
|
11,863.0
|
|
191
|
WASHINGTON, DC |
543,000
|
64,557
|
11,889.0
|
|
192
|
DETROIT, MI |
1,002,299
|
120,188
|
11,991.2
|
|
193
|
BALTIMORE, MD |
716,446
|
85,982
|
12,001.2
|
|
194
|
OKLAHOMA CITY, OK |
469,632
|
57,030
|
12,143.6
|
|
195
|
MACON, GA |
113,802
|
13,961
|
12,267.8
|
|
196
|
SALT LAKE CITY, UT |
180,180
|
22,283
|
12,367.1
|
|
197
|
NEW HAVEN, CT |
119,566
|
15,036
|
12,575.5
|
|
198
|
TOPEKA, KS |
121,495
|
15,394
|
12,670.5
|
|
199
|
NEWARK, NJ |
261,909
|
34,437
|
13,148.5
|
|
200
|
ORLANDO, FL |
182,616
|
24,055
|
13,172.4
|
|
201
|
MIAMI, FL |
384,976
|
52,918
|
13,745.8
|
|
202
|
TAMPA, FL |
294,670
|
42,873
|
14,549.5
|
|
203
|
BATON ROUGE, LA |
229,501
|
33,757
|
14,708.9
|
|
204
|
ST. LOUIS, MO |
374,041
|
56,588
|
15,128.8
|
|
205
|
FORT LAUDERDALE, FL |
168,059
|
25,487
|
15,165.5
|
|
206
|
ATLANTA, GA |
413,123
|
70,536
|
17,073.8
|
A number of cities with populations greater than 100,000 are not included on this list.. These cities either do not participate in the FBI's voluntary Uniform Crime Reporting problem, or have not reported crimes completely for the years in question.
Cities not included in this report:
|
|
| AURORA, IL |
| BABYLON TOWN, NY |
| BROOKHAVEN, NY |
| CEDAR RAPIDS, IA |
| CHICAGO, IL |
| HUNTINGTON, NY |
| ISLIP, NY |
| KANSAS CITY, KS |
| NAPERVILLE, IL |
| OVERLAND PARK, KS |
| PEORIA, IL |
| ROCKFORD, IL |
| SPRINGFIELD, IL |
| SPRINGFIELD, MA |
| WARREN, MI |
Statistics were drawn from the 1996 Uniform Crime Reports Preliminary Annual Report (June 1, 1997), and in additions made to the Preliminary Annual Report through June 5, 1997.
Populations are 1996 estimates provided to the FBI by the U. S. Census Bureau.
Calculations and rankings were prepared by Number Crunchers Precision Journalism®.
There are seven crimes included in the FBI's Crime Index. Four
are crimes against persons, also known as violent crimes. Three are
crimes against property. A fourth category of property crime – arson
– was added to the FBI Crime Index in the late 1970s. However, not
all agencies report the category. Thus, seven crimes are included
in these statistics. They are:
|
|
|
| Murder and non-negligent manslaughter | Burglary |
| Forcible Rape | Larceny-Theft |
| Robbery | Motor Vehicle Theft |
| Aggravated Assault |
The FBI Crime Index has several substantial strengths and weaknesses as a measure of crime. Primary among its strengths is how widespread it is. The overwhelming majority of law-enforcement agencies across the country voluntarily contribute data to the FBI Uniform Crime Reporting program each year.
Among the weaknesses is that the FBI Crime Index counts only those incidents
in selected categories known to police. Crimes – such as rape, for
instance – in categories where reporting is known to be less than complete
may not be accurately represented. Also, crimes within certain communities
which may not cooperate fully with and trust their law-enforcement agencies
may be skewed.