|
|
|
|
|
|
|
|
|
|
1
|
AMHERST TOWN, NY |
107,331
|
265
|
246.9
|
|
2
|
SUNNYVALE, CA |
121,284
|
420
|
346.3
|
|
3
|
STERLING HEIGHTS, MI |
120,737
|
433
|
358.6
|
|
4
|
THOUSAND OAKS, CA |
112,559
|
447
|
397.1
|
|
5
|
NAPERVILLE, IL |
101,980
|
407
|
399.1
|
|
6
|
SIMI VALLEY, CA |
108,469
|
460
|
424.1
|
|
7
|
MESQUITE, TX |
117,795
|
564
|
478.8
|
|
8
|
LIVONIA, MI |
101,450
|
507
|
499.8
|
|
9
|
GREEN BAY, WI |
104,283
|
584
|
560.0
|
|
10
|
SAN JOSE, CA |
830,374
|
4,700
|
566.0
|
|
11
|
SANTA CLARITA, CA |
125,435
|
716
|
570.8
|
|
12
|
BURBANK, CA |
101,082
|
611
|
604.5
|
|
13
|
SANTA ANA, CA |
294,963
|
1,822
|
617.7
|
|
14
|
GLENDALE, CA |
181,019
|
1,135
|
627.0
|
|
15
|
EL PASO, TX |
602,951
|
3,942
|
653.8
|
|
16
|
STAMFORD, CT |
107,165
|
704
|
656.9
|
|
17
|
IRVINE, CA |
127,410
|
837
|
656.9
|
|
18
|
NEWPORT NEWS, VA |
182,487
|
1,224
|
670.7
|
|
19
|
HAMPTON, VA |
142,248
|
962
|
676.3
|
|
20
|
NORWALK, CA |
102,176
|
710
|
694.9
|
|
21
|
VIRGINIA BEACH, VA |
439,851
|
3,063
|
696.4
|
|
22
|
FREMONT, CA |
186,186
|
1,306
|
701.4
|
|
23
|
MADISON, WI |
197,572
|
1,389
|
703.0
|
|
24
|
ANN ARBOR, MI |
109,939
|
804
|
731.3
|
|
25
|
SAN DIEGO, CA |
1,168,364
|
8,608
|
736.8
|
|
26
|
ORANGE, CA |
118,445
|
878
|
741.3
|
|
27
|
YONKERS, NY |
183,650
|
1,381
|
752.0
|
|
28
|
WEST COVINA, CA |
104,766
|
806
|
769.3
|
|
29
|
SANTA ROSA, CA |
118,625
|
920
|
775.6
|
|
30
|
SIOUX FALLS, SD |
110,891
|
864
|
779.1
|
|
31
|
FULLERTON, CA |
118,524
|
930
|
784.7
|
|
32
|
CAMBRIDGE, MA |
100,725
|
799
|
793.2
|
|
33
|
FORT COLLINS, CO |
103,472
|
829
|
801.2
|
|
34
|
EL MONTE, CA |
106,149
|
854
|
804.5
|
|
35
|
GARDEN GROVE, CA |
150,062
|
1,229
|
819.0
|
|
36
|
ALEXANDRIA, VA |
114,996
|
945
|
821.8
|
|
37
|
CHESAPEAKE, VA |
183,965
|
1,529
|
831.1
|
|
38
|
NEW YORK, NY |
7,339,594
|
61,532
|
838.4
|
|
39
|
OXNARD, CA |
147,937
|
1,255
|
848.3
|
|
40
|
SALINAS, CA |
121,517
|
1,031
|
848.4
|
|
41
|
HUNTINGTON BEACH, CA |
191,911
|
1,629
|
848.8
|
|
42
|
RANCHO CUCAMONGA, CA |
116,431
|
990
|
850.3
|
|
43
|
PITTSBURGH, PA |
354,308
|
3,049
|
860.6
|
|
44
|
IRVING, TX |
170,960
|
1,480
|
865.7
|
|
45
|
PLANO, TX |
163,817
|
1,443
|
880.9
|
|
46
|
GARLAND, TX |
201,336
|
1,786
|
887.1
|
|
47
|
LINCOLN, NB |
206,704
|
1,877
|
908.1
|
|
48
|
BOSTON, MA |
552,519
|
5,052
|
914.4
|
|
49
|
ESCONDIDO, CA |
118,003
|
1,079
|
914.4
|
|
50
|
HENDERSON, NV |
112,217
|
1,028
|
916.1
|
|
51
|
LAKEWOOD, CO |
131,786
|
1,209
|
917.4
|
|
52
|
DES MOINES, IA |
195,455
|
1,794
|
917.9
|
|
53
|
DOWNEY, CA |
101,309
|
932
|
920.0
|
|
54
|
ANCHORAGE, AK |
254,774
|
2,353
|
923.6
|
|
55
|
ERIE, PA |
108,432
|
1,019
|
939.8
|
|
56
|
ANAHEIM, CA |
286,146
|
2,698
|
942.9
|
|
57
|
GRAND PRAIRIE, TX |
112,930
|
1,068
|
945.7
|
|
58
|
SAN FRANCISCO, CA |
745,127
|
7,079
|
950.0
|
|
59
|
CHULA VISTA, CA |
151,377
|
1,451
|
958.5
|
|
60
|
INGLEWOOD, CA |
111,650
|
1,082
|
969.1
|
|
61
|
BOISE, ID |
153,258
|
1,486
|
969.6
|
|
62
|
ABILENE, TX |
114,523
|
1,120
|
978.0
|
|
63
|
AURORA, CO |
262,188
|
2,589
|
987.5
|
|
64
|
TORRANCE, CA |
140,185
|
1,385
|
988.0
|
|
65
|
COLORADO SPRINGS, CO |
331,020
|
3,304
|
998.1
|
|
66
|
WICHITA FALLS, TX |
101,755
|
1,020
|
1,002.4
|
|
67
|
PASADENA, CA |
136,077
|
1,365
|
1,003.1
|
|
68
|
OMAHA, NB |
350,607
|
3,552
|
1,013.1
|
|
69
|
LOS ANGELES, CA |
3,498,139
|
35,865
|
1,025.3
|
|
70
|
HONOLULU, HI |
878,044
|
9,026
|
1,028.0
|
|
71
|
MIDLAND, TX |
100,087
|
1,030
|
1,029.1
|
|
72
|
FORT WAYNE, IN |
186,196
|
1,927
|
1,034.9
|
|
73
|
CONCORD, CA |
113,479
|
1,186
|
1,045.1
|
|
74
|
PASADENA, TX |
134,568
|
1,408
|
1,046.3
|
|
75
|
RENO, NV |
159,559
|
1,676
|
1,050.4
|
|
76
|
PHILADELPHIA, PA |
1,528,403
|
16,204
|
1,060.2
|
|
77
|
HAYWARD, CA |
117,233
|
1,253
|
1,068.8
|
|
78
|
SALEM, OR |
119,822
|
1,282
|
1,069.9
|
|
79
|
LAREDO, TX |
156,032
|
1,672
|
1,071.6
|
|
80
|
SCOTTSDALE, AZ |
165,644
|
1,786
|
1,078.2
|
|
81
|
ONTARIO, CA |
136,742
|
1,479
|
1,081.6
|
|
82
|
INDEPENDENCE, MO |
113,382
|
1,229
|
1,083.9
|
|
83
|
FONTANA, CA |
105,211
|
1,143
|
1,086.4
|
|
84
|
EVANSVILLE, IN |
131,455
|
1,439
|
1,094.7
|
|
85
|
AURORA, IL |
113,220
|
1,241
|
1,096.1
|
|
86
|
NORFOLK, VA |
245,956
|
2,766
|
1,124.6
|
|
87
|
BROWNSVILLE, TX |
117,511
|
1,328
|
1,130.1
|
|
88
|
ARLINGTON, TX |
298,632
|
3,395
|
1,136.9
|
|
89
|
LONG BEACH, CA |
440,023
|
5,003
|
1,137.0
|
|
90
|
MESA, AZ |
340,818
|
3,883
|
1,139.3
|
|
91
|
COLUMBUS, GA |
194,345
|
2,216
|
1,140.2
|
|
92
|
POMONA, CA |
145,916
|
1,697
|
1,163.0
|
|
93
|
OCEANSIDE, CA |
148,308
|
1,737
|
1,171.2
|
|
94
|
PALMDALE, CA |
104,894
|
1,231
|
1,173.6
|
|
95
|
RIVERSIDE, CA |
245,081
|
2,894
|
1,180.8
|
|
96
|
LEXINGTON, KY |
241,150
|
2,893
|
1,199.7
|
|
97
|
LANCASTER, CA |
120,881
|
1,455
|
1,203.7
|
|
98
|
LUBBOCK, TX |
202,403
|
2,456
|
1,213.4
|
|
99
|
MILWAUKEE, WI |
627,139
|
7,622
|
1,215.4
|
|
100
|
AMARILLO, TX |
171,779
|
2,116
|
1,231.8
|
|
101
|
GLENDALE, AZ |
183,029
|
2,277
|
1,244.1
|
|
102
|
RALEIGH, NC |
245,176
|
3,139
|
1,280.3
|
|
103
|
PUEBLO, CO |
105,059
|
1,348
|
1,283.1
|
|
104
|
AKRON, OH |
223,303
|
2,866
|
1,283.5
|
|
105
|
TEMPE, AZ |
156,788
|
2,047
|
1,305.6
|
|
106
|
CLEARWATER, FL |
103,036
|
1,353
|
1,313.1
|
|
107
|
CORPUS CHRISTI, TX |
286,660
|
3,773
|
1,316.2
|
|
108
|
LANSING, MI |
120,821
|
1,607
|
1,330.1
|
|
109
|
LAFAYETTE, LA |
103,134
|
1,375
|
1,333.2
|
|
110
|
WORCESTER, MA |
166,782
|
2,228
|
1,335.9
|
|
111
|
SAN ANTONIO, TX |
1,021,477
|
13,685
|
1,339.7
|
|
112
|
KNOXVILLE, TN |
174,054
|
2,341
|
1,345.0
|
|
113
|
CHANDLER, AZ |
129,554
|
1,794
|
1,384.8
|
|
114
|
HUNTSVILLE, AL |
162,376
|
2,251
|
1,386.3
|
|
115
|
PATERSON, NJ |
139,759
|
1,948
|
1,393.8
|
|
116
|
LAS VEGAS, NV |
831,303
|
11,656
|
1,402.1
|
|
117
|
AUSTIN, TX |
537,484
|
7,575
|
1,409.3
|
|
118
|
TUCSON, AZ |
472,385
|
6,710
|
1,420.5
|
|
119
|
HOUSTON, TX |
1,772,143
|
25,402
|
1,433.4
|
|
120
|
SPRINGFIELD, MO |
152,024
|
2,182
|
1,435.3
|
|
121
|
ALLENTOWN, PA |
105,372
|
1,513
|
1,435.9
|
|
122
|
HIALEAH, FL |
200,339
|
2,894
|
1,444.6
|
|
123
|
SEATTLE, WA |
539,591
|
7,855
|
1,455.7
|
|
124
|
VALLEJO, CA |
113,069
|
1,658
|
1,466.4
|
|
125
|
CHICAGO, IL |
2,754,118
|
40,475
|
1,469.6
|
|
126
|
SAVANNAH, GA |
146,534
|
2,172
|
1,482.2
|
|
127
|
BAKERSFIELD, CA |
193,777
|
2,874
|
1,483.1
|
|
128
|
BERKELEY, CA |
101,250
|
1,502
|
1,483.5
|
|
129
|
JERSEY CITY, NJ |
228,424
|
3,425
|
1,499.4
|
|
130
|
DENVER, CO |
516,224
|
7,788
|
1,508.6
|
|
131
|
MODESTO, CA |
178,865
|
2,701
|
1,510.1
|
|
132
|
STOCKTON, CA |
225,799
|
3,418
|
1,513.7
|
|
133
|
NASHVILLE, TN |
530,059
|
8,025
|
1,514.0
|
|
134
|
SPOKANE, WA |
199,636
|
3,032
|
1,518.8
|
|
135
|
PORTSMOUTH, VA |
105,404
|
1,605
|
1,522.7
|
|
136
|
PORTLAND, OR |
467,906
|
7,142
|
1,526.4
|
|
137
|
ST. PAUL, MN |
267,292
|
4,127
|
1,544.0
|
|
138
|
CLEVELAND, OH |
496,049
|
7,708
|
1,553.9
|
|
139
|
EUGENE, OR |
122,637
|
1,914
|
1,560.7
|
|
140
|
TALLAHASSEE, FL |
138,001
|
2,157
|
1,563.0
|
|
141
|
GRAND RAPIDS, MI |
192,358
|
3,033
|
1,576.7
|
|
142
|
CINCINNATI, OH |
360,457
|
5,687
|
1,577.7
|
|
143
|
GREENSBORO, NC |
203,186
|
3,228
|
1,588.7
|
|
144
|
MORENO VALLEY, CA |
141,292
|
2,280
|
1,613.7
|
|
145
|
TULSA, OK |
379,798
|
6,131
|
1,614.3
|
|
146
|
OAKLAND, CA |
372,145
|
6,058
|
1,627.9
|
|
147
|
BEAUMONT, TX |
119,715
|
1,958
|
1,635.6
|
|
148
|
ELIZABETH, NJ |
107,427
|
1,768
|
1,645.8
|
|
149
|
WICHITA, KS |
312,706
|
5,193
|
1,660.7
|
|
150
|
HARTFORD, CT |
124,223
|
2,072
|
1,668.0
|
|
151
|
SALT LAKE CITY, UT |
180,180
|
3,015
|
1,673.3
|
|
152
|
FORT WORTH, TX |
470,254
|
7,917
|
1,683.6
|
|
153
|
DALLAS, TX |
1,060,585
|
17,960
|
1,693.4
|
|
154
|
CHATTANOOGA, TN |
156,524
|
2,668
|
1,704.5
|
|
155
|
MONTGOMERY, AL |
197,972
|
3,376
|
1,705.3
|
|
156
|
PHOENIX, AZ |
1,139,793
|
19,559
|
1,716.0
|
|
157
|
TOLEDO, OH |
324,610
|
5,597
|
1,724.2
|
|
158
|
TACOMA, WA |
189,568
|
3,284
|
1,732.4
|
|
159
|
FRESNO, CA |
392,049
|
6,868
|
1,751.8
|
|
160
|
LOUISVILLE, KY |
274,506
|
4,830
|
1,759.5
|
|
161
|
SYRACUSE, NY |
160,033
|
2,821
|
1,762.8
|
|
162
|
WASHINGTON, DC |
543,000
|
9,828
|
1,809.9
|
|
163
|
COLUMBIA, SC |
105,316
|
1,909
|
1,812.6
|
|
164
|
PEORIA, IL |
113,790
|
2,086
|
1,833.2
|
|
165
|
ST. PETERSBURG, FL |
246,229
|
4,535
|
1,841.8
|
|
166
|
CHARLOTTE-MECKLENBURG, NC |
554,070
|
10,227
|
1,845.8
|
|
167
|
LITTLE ROCK, AR |
182,799
|
3,382
|
1,850.1
|
|
168
|
BRIDGEPORT, CT |
133,015
|
2,479
|
1,863.7
|
|
169
|
WATERBURY, CT |
103,490
|
1,930
|
1,864.9
|
|
170
|
HOLLYWOOD, FL |
128,996
|
2,411
|
1,869.1
|
|
171
|
SACRAMENTO, CA |
379,283
|
7,148
|
1,884.6
|
|
172
|
WACO, TX |
110,213
|
2,092
|
1,898.1
|
|
173
|
JACKSONVILLE, FL |
690,367
|
13,171
|
1,907.8
|
|
174
|
SAN BERNARDINO, CA |
184,303
|
3,544
|
1,922.9
|
|
175
|
ROCHESTER, NY |
231,373
|
4,474
|
1,933.7
|
|
176
|
PROVIDENCE, RI |
149,805
|
2,936
|
1,959.9
|
|
177
|
RICHMOND, VA |
204,881
|
4,022
|
1,963.1
|
|
178
|
GARY, IN |
116,024
|
2,278
|
1,963.4
|
|
179
|
ALBANY, NY |
104,919
|
2,087
|
1,989.2
|
|
180
|
KANSAS CITY, MO |
448,474
|
8,947
|
1,995.0
|
|
181
|
BUFFALO, NY |
313,238
|
6,298
|
2,010.6
|
|
182
|
COLUMBUS, OH |
640,297
|
13,013
|
2,032.3
|
|
183
|
NEW ORLEANS, LA |
488,300
|
9,954
|
2,038.5
|
|
184
|
BALTIMORE, MD |
716,446
|
14,802
|
2,066.0
|
|
185
|
DAYTON, OH |
179,680
|
3,720
|
2,070.3
|
|
186
|
INDIANAPOLIS, IN |
376,531
|
7,797
|
2,070.7
|
|
187
|
SHREVEPORT, LA |
199,418
|
4,185
|
2,098.6
|
|
188
|
ALBUQUERQUE, NM |
426,736
|
9,037
|
2,117.7
|
|
189
|
MINNEAPOLIS, MN |
361,595
|
7,678
|
2,123.4
|
|
190
|
MOBILE, AL |
207,106
|
4,404
|
2,126.4
|
|
191
|
SPRINGFIELD, MA |
150,421
|
3,206
|
2,131.4
|
|
192
|
DETROIT, MI |
1,002,299
|
21,491
|
2,144.2
|
|
193
|
MACON, GA |
113,802
|
2,446
|
2,149.3
|
|
194
|
BIRMINGHAM, AL |
272,169
|
5,973
|
2,194.6
|
|
195
|
SPRINGFIELD, IL |
106,794
|
2,359
|
2,208.9
|
|
196
|
OKLAHOMA CITY, OK |
469,632
|
10,690
|
2,276.3
|
|
197
|
NEWARK, NJ |
261,909
|
5,991
|
2,287.4
|
|
198
|
ROCKFORD, IL |
144,421
|
3,401
|
2,354.9
|
|
199
|
WINSTON-SALEM, NC |
160,678
|
3,836
|
2,387.4
|
|
200
|
ORLANDO, FL |
182,616
|
4,418
|
2,419.3
|
|
201
|
BATON ROUGE, LA |
229,501
|
5,577
|
2,430.1
|
|
202
|
NEW HAVEN, CT |
119,566
|
2,936
|
2,455.5
|
|
203
|
TAMPA, FL |
294,670
|
7,373
|
2,502.1
|
|
204
|
JACKSON, MS |
196,619
|
4,924
|
2,504.3
|
|
205
|
ATLANTA, GA |
413,123
|
10,466
|
2,533.4
|
|
206
|
MIAMI, FL |
384,976
|
9,804
|
2,546.7
|
|
207
|
MEMPHIS, TN |
631,626
|
16,634
|
2,633.5
|
|
208
|
ST. LOUIS, MO |
374,041
|
9,887
|
2,643.3
|
|
209
|
SOUTH BEND, IN |
106,718
|
2,880
|
2,698.7
|
|
210
|
FORT LAUDERDALE, FL |
168,059
|
4,744
|
2,822.8
|
|
211
|
DURHAM, NC |
148,571
|
4,226
|
2,844.4
|
|
212
|
TOPEKA, KS |
121,495
|
3,563
|
2,932.6
|
|
213
|
FLINT, MI |
139,588
|
4,141
|
2,966.6
|
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:
|
|
| BABYLON TOWN, NY |
| BROOKHAVEN, NY |
| CEDAR RAPIDS, IA |
| HUNTINGTON, NY |
| ISLIP, NY |
| KANSAS CITY, KS |
| OVERLAND PARK, KS |
| 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.