|
|
|
|
|
|
|
|
|
1
|
AMHERST TOWN, NY |
107,331
|
98
|
91.3
|
|
2
|
SIMI VALLEY, CA |
108,469
|
156
|
143.8
|
|
3
|
SUNNYVALE, CA |
121,284
|
231
|
190.5
|
|
4
|
STERLING HEIGHTS, MI |
120,737
|
231
|
191.3
|
|
5
|
THOUSAND OAKS, CA |
112,559
|
232
|
206.1
|
|
6
|
IRVINE, CA |
127,410
|
274
|
215.1
|
|
7
|
LIVONIA, MI |
101,450
|
239
|
235.6
|
|
8
|
VIRGINIA BEACH, VA |
439,851
|
1,075
|
244.4
|
|
9
|
SCOTTSDALE, AZ |
165,644
|
445
|
268.6
|
|
10
|
HENDERSON, NV |
112,217
|
323
|
287.8
|
|
11
|
HONOLULU, HI |
878,044
|
2,748
|
313.0
|
|
12
|
RANCHO CUCAMONGA, CA |
116,431
|
370
|
317.8
|
|
13
|
HUNTINGTON BEACH, CA |
191,911
|
611
|
318.4
|
|
14
|
BOISE, ID |
153,258
|
499
|
325.6
|
|
15
|
SALEM, OR |
119,822
|
394
|
328.8
|
|
16
|
CHANDLER, AZ |
129,554
|
428
|
330.4
|
|
17
|
PLANO, TX |
163,817
|
569
|
347.3
|
|
18
|
MESQUITE, TX |
117,795
|
438
|
371.8
|
|
19
|
ANN ARBOR, MI |
109,939
|
409
|
372.0
|
|
20
|
GREEN BAY, WI |
104,283
|
388
|
372.1
|
|
21
|
MIDLAND, TX |
100,087
|
377
|
376.7
|
|
22
|
GARLAND, TX |
201,336
|
777
|
385.9
|
|
23
|
MADISON, WI |
197,572
|
772
|
390.7
|
|
24
|
GLENDALE, CA |
181,019
|
721
|
398.3
|
|
25
|
FORT COLLINS, CO |
103,472
|
419
|
404.9
|
|
26
|
FULLERTON, CA |
118,524
|
485
|
409.2
|
|
27
|
STAMFORD, CT |
107,165
|
441
|
411.5
|
|
28
|
HAMPTON, VA |
142,248
|
592
|
416.2
|
|
29
|
SIOUX FALLS, SD |
110,891
|
473
|
426.5
|
|
30
|
FREMONT, CA |
186,186
|
812
|
436.1
|
|
31
|
CHESAPEAKE, VA |
183,965
|
804
|
437.0
|
|
32
|
TORRANCE, CA |
140,185
|
632
|
450.8
|
|
33
|
BURBANK, CA |
101,082
|
456
|
451.1
|
|
34
|
COLUMBUS, GA |
194,345
|
886
|
455.9
|
|
35
|
SAN ANTONIO, TX |
1,021,477
|
4,741
|
464.1
|
|
36
|
IRVING, TX |
170,960
|
804
|
470.3
|
|
37
|
DES MOINES, IA |
195,455
|
923
|
472.2
|
|
38
|
ORANGE, CA |
118,445
|
562
|
474.5
|
|
39
|
SANTA CLARITA, CA |
125,435
|
596
|
475.1
|
|
40
|
LAKEWOOD, CO |
131,786
|
630
|
478.0
|
|
41
|
COLORADO SPRINGS, CO |
331,020
|
1,595
|
481.8
|
|
42
|
INDEPENDENCE, MO |
113,382
|
587
|
517.7
|
|
43
|
ABILENE, TX |
114,523
|
598
|
522.2
|
|
44
|
SPRINGFIELD, MO |
152,024
|
795
|
522.9
|
|
45
|
WEST COVINA, CA |
104,766
|
568
|
542.2
|
|
46
|
ALEXANDRIA, VA |
114,996
|
636
|
553.1
|
|
47
|
TEMPE, AZ |
156,788
|
871
|
555.5
|
|
48
|
SANTA ROSA, CA |
118,625
|
663
|
558.9
|
|
49
|
GARDEN GROVE, CA |
150,062
|
845
|
563.1
|
|
50
|
CONCORD, CA |
113,479
|
646
|
569.3
|
|
51
|
FORT WAYNE, IN |
186,196
|
1,069
|
574.1
|
|
52
|
BAKERSFIELD, CA |
193,777
|
1,121
|
578.5
|
|
53
|
DOWNEY, CA |
101,309
|
590
|
582.4
|
|
54
|
LINCOLN, NB |
206,704
|
1,215
|
587.8
|
|
55
|
EVANSVILLE, IN |
131,455
|
780
|
593.4
|
|
56
|
YONKERS, NY |
183,650
|
1,104
|
601.1
|
|
57
|
EUGENE, OR |
122,637
|
739
|
602.6
|
|
58
|
ERIE, PA |
108,432
|
669
|
617.0
|
|
59
|
ALLENTOWN, PA |
105,372
|
653
|
619.7
|
|
60
|
AURORA, CO |
262,188
|
1,629
|
621.3
|
|
61
|
WATERBURY, CT |
103,490
|
657
|
634.8
|
|
62
|
CAMBRIDGE, MA |
100,725
|
649
|
644.3
|
|
63
|
NEWPORT NEWS, VA |
182,487
|
1,176
|
644.4
|
|
64
|
SPOKANE, WA |
199,636
|
1,308
|
655.2
|
|
65
|
LAREDO, TX |
156,032
|
1,040
|
666.5
|
|
66
|
GLENDALE, AZ |
183,029
|
1,221
|
667.1
|
|
67
|
PASADENA, TX |
134,568
|
903
|
671.0
|
|
68
|
PROVIDENCE, RI |
149,805
|
1,033
|
689.6
|
|
69
|
ESCONDIDO, CA |
118,003
|
819
|
694.1
|
|
70
|
HAYWARD, CA |
117,233
|
817
|
696.9
|
|
71
|
RENO, NV |
159,559
|
1,123
|
703.8
|
|
72
|
MODESTO, CA |
178,865
|
1,267
|
708.4
|
|
73
|
AUSTIN, TX |
537,484
|
3,822
|
711.1
|
|
74
|
ANAHEIM, CA |
286,146
|
2,051
|
716.8
|
|
75
|
MESA, AZ |
340,818
|
2,459
|
721.5
|
|
76
|
CHULA VISTA, CA |
151,377
|
1,094
|
722.7
|
|
77
|
SAN JOSE, CA |
830,374
|
6,075
|
731.6
|
|
78
|
DENVER, CO |
516,224
|
3,832
|
742.3
|
|
79
|
SANTA ANA, CA |
294,963
|
2,231
|
756.4
|
|
80
|
WICHITA, KS |
312,706
|
2,372
|
758.5
|
|
81
|
MONTGOMERY, AL |
197,972
|
1,589
|
802.6
|
|
82
|
PITTSBURGH, PA |
354,308
|
2,847
|
803.5
|
|
83
|
MACON, GA |
113,802
|
921
|
809.3
|
|
84
|
TOLEDO, OH |
324,610
|
2,635
|
811.7
|
|
85
|
ANCHORAGE, AK |
254,774
|
2,078
|
815.6
|
|
86
|
LAFAYETTE, LA |
103,134
|
844
|
818.4
|
|
87
|
HUNTSVILLE, AL |
162,376
|
1,339
|
824.6
|
|
88
|
LEXINGTON, KY |
241,150
|
1,998
|
828.5
|
|
89
|
ARLINGTON, TX |
298,632
|
2,478
|
829.8
|
|
90
|
AMARILLO, TX |
171,779
|
1,428
|
831.3
|
|
91
|
SALT LAKE CITY, UT |
180,180
|
1,501
|
833.1
|
|
92
|
OCEANSIDE, CA |
148,308
|
1,239
|
835.4
|
|
93
|
SEATTLE, WA |
539,591
|
4,543
|
841.9
|
|
94
|
MORENO VALLEY, CA |
141,292
|
1,192
|
843.6
|
|
95
|
EL PASO, TX |
602,951
|
5,138
|
852.1
|
|
96
|
RALEIGH, NC |
245,176
|
2,109
|
860.2
|
|
97
|
WICHITA FALLS, TX |
101,755
|
878
|
862.9
|
|
98
|
PASADENA, CA |
136,077
|
1,178
|
865.7
|
|
99
|
SAN DIEGO, CA |
1,168,364
|
10,148
|
868.6
|
|
100
|
SYRACUSE, NY |
160,033
|
1,398
|
873.6
|
|
101
|
KNOXVILLE, TN |
174,054
|
1,526
|
876.7
|
|
102
|
HOLLYWOOD, FL |
128,996
|
1,158
|
897.7
|
|
103
|
ST. PAUL, MN |
267,292
|
2,437
|
911.7
|
|
104
|
PHOENIX, AZ |
1,139,793
|
10,529
|
923.8
|
|
105
|
WORCESTER, MA |
166,782
|
1,557
|
933.6
|
|
106
|
OXNARD, CA |
147,937
|
1,382
|
934.2
|
|
107
|
NORFOLK, VA |
245,956
|
2,332
|
948.1
|
|
108
|
GREENSBORO, NC |
203,186
|
1,927
|
948.4
|
|
109
|
MILWAUKEE, WI |
627,139
|
5,997
|
956.2
|
|
110
|
SOUTH BEND, IN |
106,718
|
1,022
|
957.7
|
|
111
|
COLUMBUS, OH |
640,297
|
6,216
|
970.8
|
|
112
|
SAVANNAH, GA |
146,534
|
1,428
|
974.5
|
|
113
|
SACRAMENTO, CA |
379,283
|
3,707
|
977.4
|
|
114
|
BROWNSVILLE, TX |
117,511
|
1,151
|
979.5
|
|
115
|
ROCHESTER, NY |
231,373
|
2,270
|
981.1
|
|
116
|
HIALEAH, FL |
200,339
|
2,013
|
1,004.8
|
|
117
|
PORTSMOUTH, VA |
105,404
|
1,066
|
1,011.3
|
|
118
|
LAS VEGAS, NV |
831,303
|
8,409
|
1,011.5
|
|
119
|
LUBBOCK, TX |
202,403
|
2,066
|
1,020.7
|
|
120
|
GRAND PRAIRIE, TX |
112,930
|
1,156
|
1,023.6
|
|
121
|
ONTARIO, CA |
136,742
|
1,425
|
1,042.1
|
|
122
|
BEAUMONT, TX |
119,715
|
1,252
|
1,045.8
|
|
123
|
AKRON, OH |
223,303
|
2,345
|
1,050.1
|
|
124
|
POMONA, CA |
145,916
|
1,537
|
1,053.3
|
|
125
|
CORPUS CHRISTI, TX |
286,660
|
3,020
|
1,053.5
|
|
126
|
MOBILE, AL |
207,106
|
2,185
|
1,055.0
|
|
127
|
FORT WORTH, TX |
470,254
|
4,984
|
1,059.9
|
|
128
|
BERKELEY, CA |
101,250
|
1,086
|
1,072.6
|
|
129
|
ALBANY, NY |
104,919
|
1,132
|
1,078.9
|
|
130
|
PALMDALE, CA |
104,894
|
1,141
|
1,087.8
|
|
131
|
CINCINNATI, OH |
360,457
|
3,921
|
1,087.8
|
|
132
|
TUCSON, AZ |
472,385
|
5,199
|
1,100.6
|
|
133
|
ELIZABETH, NJ |
107,427
|
1,187
|
1,104.9
|
|
134
|
SALINAS, CA |
121,517
|
1,359
|
1,118.4
|
|
135
|
CLEARWATER, FL |
103,036
|
1,155
|
1,121.0
|
|
136
|
DAYTON, OH |
179,680
|
2,026
|
1,127.6
|
|
137
|
OKLAHOMA CITY, OK |
469,632
|
5,308
|
1,130.2
|
|
138
|
TALLAHASSEE, FL |
138,001
|
1,562
|
1,131.9
|
|
139
|
DURHAM, NC |
148,571
|
1,687
|
1,135.5
|
|
140
|
LANCASTER, CA |
120,881
|
1,383
|
1,144.1
|
|
141
|
NORWALK, CA |
102,176
|
1,176
|
1,151.0
|
|
142
|
LONG BEACH, CA |
440,023
|
5,069
|
1,152.0
|
|
143
|
TULSA, OK |
379,798
|
4,428
|
1,165.9
|
|
144
|
PATERSON, NJ |
139,759
|
1,634
|
1,169.2
|
|
145
|
JACKSON, MS |
196,619
|
2,366
|
1,203.3
|
|
146
|
EL MONTE, CA |
106,149
|
1,282
|
1,207.7
|
|
147
|
WACO, TX |
110,213
|
1,352
|
1,226.7
|
|
148
|
LOUISVILLE, KY |
274,506
|
3,389
|
1,234.6
|
|
149
|
TOPEKA, KS |
121,495
|
1,502
|
1,236.3
|
|
150
|
SHREVEPORT, LA |
199,418
|
2,489
|
1,248.1
|
|
151
|
HOUSTON, TX |
1,772,143
|
22,456
|
1,267.2
|
|
152
|
GRAND RAPIDS, MI |
192,358
|
2,443
|
1,270.0
|
|
153
|
FONTANA, CA |
105,211
|
1,347
|
1,280.3
|
|
154
|
RIVERSIDE, CA |
245,081
|
3,169
|
1,293.0
|
|
155
|
PUEBLO, CO |
105,059
|
1,387
|
1,320.2
|
|
156
|
SAN FRANCISCO, CA |
745,127
|
9,887
|
1,326.9
|
|
157
|
NEW YORK, NY |
7,339,594
|
98,596
|
1,343.3
|
|
158
|
OMAHA, NB |
350,607
|
4,742
|
1,352.5
|
|
159
|
LANSING, MI |
120,821
|
1,649
|
1,364.8
|
|
160
|
CHATTANOOGA, TN |
156,524
|
2,145
|
1,370.4
|
|
161
|
STOCKTON, CA |
225,799
|
3,115
|
1,379.5
|
|
162
|
VALLEJO, CA |
113,069
|
1,565
|
1,384.1
|
|
163
|
FRESNO, CA |
392,049
|
5,462
|
1,393.2
|
|
164
|
WINSTON-SALEM, NC |
160,678
|
2,268
|
1,411.5
|
|
165
|
JACKSONVILLE, FL |
690,367
|
9,765
|
1,414.5
|
|
166
|
BUFFALO, NY |
313,238
|
4,532
|
1,446.8
|
|
167
|
ALBUQUERQUE, NM |
426,736
|
6,266
|
1,468.4
|
|
168
|
TACOMA, WA |
189,568
|
2,785
|
1,469.1
|
|
169
|
LITTLE ROCK, AR |
182,799
|
2,757
|
1,508.2
|
|
170
|
PHILADELPHIA, PA |
1,528,403
|
23,367
|
1,528.9
|
|
171
|
DALLAS, TX |
1,060,585
|
16,280
|
1,535.0
|
|
172
|
FORT LAUDERDALE, FL |
168,059
|
2,584
|
1,537.6
|
|
173
|
CLEVELAND, OH |
496,049
|
7,631
|
1,538.4
|
|
174
|
BRIDGEPORT, CT |
133,015
|
2,107
|
1,584.0
|
|
175
|
CHARLOTTE-MECKLENBURG, NC |
554,070
|
8,920
|
1,609.9
|
|
176
|
BIRMINGHAM, AL |
272,169
|
4,416
|
1,622.5
|
|
177
|
RICHMOND, VA |
204,881
|
3,383
|
1,651.2
|
|
178
|
BOSTON, MA |
552,519
|
9,154
|
1,656.8
|
|
179
|
JERSEY CITY, NJ |
228,424
|
3,791
|
1,659.6
|
|
180
|
PORTLAND, OR |
467,906
|
7,835
|
1,674.5
|
|
181
|
HARTFORD, CT |
124,223
|
2,132
|
1,716.3
|
|
182
|
COLUMBIA, SC |
105,316
|
1,816
|
1,724.3
|
|
183
|
INGLEWOOD, CA |
111,650
|
1,943
|
1,740.3
|
|
184
|
SAN BERNARDINO, CA |
184,303
|
3,234
|
1,754.7
|
|
185
|
LOS ANGELES, CA |
3,498,139
|
62,838
|
1,796.3
|
|
186
|
MINNEAPOLIS, MN |
361,595
|
6,808
|
1,882.8
|
|
187
|
NASHVILLE, TN |
530,059
|
10,021
|
1,890.5
|
|
188
|
ST. PETERSBURG, FL |
246,229
|
4,728
|
1,920.2
|
|
189
|
INDIANAPOLIS, IN |
376,531
|
7,418
|
1,970.1
|
|
190
|
KANSAS CITY, MO |
448,474
|
8,885
|
1,981.2
|
|
191
|
MEMPHIS, TN |
631,626
|
12,537
|
1,984.9
|
|
192
|
NEW HAVEN, CT |
119,566
|
2,616
|
2,187.9
|
|
193
|
ORLANDO, FL |
182,616
|
4,002
|
2,191.5
|
|
194
|
OAKLAND, CA |
372,145
|
8,168
|
2,194.8
|
|
195
|
NEW ORLEANS, LA |
488,300
|
11,021
|
2,257.0
|
|
196
|
SPRINGFIELD, MA |
150,421
|
3,428
|
2,278.9
|
|
197
|
DETROIT, MI |
1,002,299
|
23,239
|
2,318.6
|
|
198
|
FLINT, MI |
139,588
|
3,325
|
2,382.0
|
|
199
|
WASHINGTON, DC |
543,000
|
13,411
|
2,469.8
|
|
200
|
BALTIMORE, MD |
716,446
|
19,507
|
2,722.7
|
|
201
|
ST. LOUIS, MO |
374,041
|
10,203
|
2,727.8
|
|
202
|
TAMPA, FL |
294,670
|
8,689
|
2,948.7
|
|
203
|
MIAMI, FL |
384,976
|
11,990
|
3,114.5
|
|
204
|
ATLANTA, GA |
413,123
|
13,695
|
3,315.0
|
|
205
|
GARY, IN |
116,024
|
3,880
|
3,344.1
|
|
206
|
NEWARK, NJ |
261,909
|
8,761
|
3,345.1
|
|
207
|
BATON ROUGE, LA |
229,501
|
9,794
|
4,267.5
|
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 |
| 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.