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1996 CRIME STATISTICS MAIN PAGE 
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1996 PRELIMINARY FBI CRIME STATISTICS
BIG CITY PROPERTY CRIME RATES
from lowest to highest
Rank
City & State
1996 Population
(est.)
Number of Property Crimes
Property Crime Rate
(per 100,000 residents)
1
THOUSAND OAKS, CA
112,559
2,315
2,056.7
2
SIMI VALLEY, CA
108,469
2,245
2,069.7
3
SANTA CLARITA, CA
125,435
2,659
2,119.8
4
AMHERST TOWN, NY
107,331
2,651
2,469.9
5
SUNNYVALE, CA
121,284
3,257
2,685.4
6
NAPERVILLE, IL
101,980
2,748
2,694.6
7
ORANGE, CA
118,445
3,523
2,974.4
8
IRVINE, CA
127,410
3,816
2,995.1
9
EL MONTE, CA
106,149
3,315
3,123.0
10
LIVONIA, MI
101,450
3,183
3,137.5
11
NORWALK, CA
102,176
3,212
3,143.6
12
SAN JOSE, CA
830,374
28,212
3,397.5
13
GLENDALE, CA
181,019
6,245
3,449.9
14
HUNTINGTON BEACH, CA
191,911
6,694
3,488.1
15
STERLING HEIGHTS, MI
120,737
4,339
3,593.8
16
BURBANK, CA
101,082
3,705
3,665.3
17
SANTA ANA, CA
294,963
10,982
3,723.2
18
FREMONT, CA
186,186
6,957
3,736.6
19
GARDEN GROVE, CA
150,062
5,632
3,753.1
20
LANCASTER, CA
120,881
4,564
3,775.6
21
RANCHO CUCAMONGA, CA
116,431
4,458
3,828.9
22
INGLEWOOD, CA
111,650
4,298
3,849.5
23
YONKERS, NY
183,650
7,106
3,869.3
24
NEW YORK, NY
7,339,594
284,746
3,879.6
25
FONTANA, CA
105,211
4,083
3,880.8
26
ANN ARBOR, MI
109,939
4,287
3,899.4
27
PALMDALE, CA
104,894
4,170
3,975.4
28
FULLERTON, CA
118,524
4,761
4,016.9
29
OCEANSIDE, CA
148,308
5,958
4,017.3
30
GREEN BAY, WI
104,283
4,289
4,112.8
31
DOWNEY, CA
101,309
4,195
4,140.8
32
CHESAPEAKE, VA
183,965
7,659
4,163.3
33
HENDERSON, NV
112,217
4,706
4,193.7
34
WEST COVINA, CA
104,766
4,400
4,199.8
35
STAMFORD, CT
107,165
4,514
4,212.2
36
MADISON, WI
197,572
8,324
4,213.1
37
POMONA, CA
145,916
6,252
4,284.7
38
CAMBRIDGE, MA
100,725
4,319
4,287.9
39
GARLAND, TX
201,336
8,785
4,363.4
40
SAN DIEGO, CA
1,168,364
51,425
4,401.5
41
SIOUX FALLS, SD
110,891
4,881
4,401.6
42
ANAHEIM, CA
286,146
12,599
4,403.0
43
OXNARD, CA
147,937
6,528
4,412.7
44
ERIE, PA
108,432
4,863
4,484.8
45
VIRGINIA BEACH, VA
439,851
19,744
4,488.8
46
PITTSBURGH, PA
354,308
15,916
4,492.1
47
TORRANCE, CA
140,185
6,422
4,581.1
48
MIDLAND, TX
100,087
4,589
4,585.0
49
PASADENA, CA
136,077
6,245
4,589.3
50
HAMPTON, VA
142,248
6,575
4,622.2
51
ABILENE, TX
114,523
5,373
4,691.6
52
PLANO, TX
163,817
7,749
4,730.3
53
PASADENA, TX
134,568
6,375
4,737.4
54
NEWPORT NEWS, VA
182,487
8,653
4,741.7
55
LONG BEACH, CA
440,023
21,239
4,826.8
56
FORT COLLINS, CO
103,472
5,029
4,860.3
57
PATERSON, NJ
139,759
6,814
4,875.5
58
AURORA, IL
113,220
5,562
4,912.6
59
LOS ANGELES, CA
3,498,139
172,420
4,928.9
60
RIVERSIDE, CA
245,081
12,324
5,028.5
61
EVANSVILLE, IN
131,455
6,625
5,039.7
62
GRAND PRAIRIE, TX
112,930
5,726
5,070.4
63
IRVING, TX
170,960
8,679
5,076.6
64
WORCESTER, MA
166,782
8,469
5,077.9
65
SALINAS, CA
121,517
6,195
5,098.1
66
CHULA VISTA, CA
151,377
7,728
5,105.1
67
MESQUITE, TX
117,795
6,014
5,105.5
68
ESCONDIDO, CA
118,003
6,038
5,116.8
69
SANTA ROSA, CA
118,625
6,242
5,262.0
70
LAKEWOOD, CO
131,786
6,965
5,285.1
71
KNOXVILLE, TN
174,054
9,240
5,308.7
72
MORENO VALLEY, CA
141,292
7,541
5,337.2
73
BOISE, ID
153,258
8,194
5,346.5
74
LUBBOCK, TX
202,403
10,882
5,376.4
75
PHILADELPHIA, PA
1,528,403
82,399
5,391.2
76
ONTARIO, CA
136,742
7,482
5,471.6
77
AURORA, CO
262,188
14,353
5,474.3
78
LEXINGTON, KY
241,150
13,330
5,527.7
79
ANCHORAGE, AK
254,774
14,100
5,534.3
80
SCOTTSDALE, AZ
165,644
9,292
5,609.6
81
JERSEY CITY, NJ
228,424
12,913
5,653.1
82
ALEXANDRIA, VA
114,996
6,507
5,658.5
83
PUEBLO, CO
105,059
5,985
5,696.8
84
COLORADO SPRINGS, CO
331,020
18,928
5,718.1
85
WICHITA FALLS, TX
101,755
5,826
5,725.5
86
LAS VEGAS, NV
831,303
48,534
5,838.3
87
CONCORD, CA
113,479
6,656
5,865.4
88
MONTGOMERY, AL
197,972
11,613
5,866.0
89
COLUMBUS, GA
194,345
11,404
5,867.9
90
DENVER, CO
516,224
30,482
5,904.8
91
BAKERSFIELD, CA
193,777
11,462
5,915.0
92
SYRACUSE, NY
160,033
9,601
5,999.4
93
CLEVELAND, OH
496,049
29,778
6,003.0
94
HAYWARD, CA
117,233
7,058
6,020.5
95
TULSA, OK
379,798
22,945
6,041.4
96
RENO, NV
159,559
9,731
6,098.7
97
RALEIGH, NC
245,176
14,971
6,106.2
98
AKRON, OH
223,303
13,662
6,118.1
99
CLEARWATER, FL
103,036
6,422
6,232.8
100
SAN FRANCISCO, CA
745,127
46,706
6,268.2
101
CHANDLER, AZ
129,554
8,122
6,269.2
102
ARLINGTON, TX
298,632
18,834
6,306.8
103
GRAND RAPIDS, MI
192,358
12,157
6,320.0
104
OMAHA, NB
350,607
22,197
6,331.0
105
GARY, IN
116,024
7,349
6,334.0
106
LINCOLN, NB
206,704
13,138
6,355.9
107
HOUSTON, TX
1,772,143
112,873
6,369.3
108
LOUISVILLE, KY
274,506
17,642
6,426.8
109
BOSTON, MA
552,519
35,557
6,435.4
110
ALLENTOWN, PA
105,372
6,791
6,444.8
111
MODESTO, CA
178,865
11,573
6,470.2
112
HONOLULU, HI
878,044
57,311
6,527.1
113
CINCINNATI, OH
360,457
23,534
6,528.9
114
LAREDO, TX
156,032
10,200
6,537.1
115
VALLEJO, CA
113,069
7,432
6,573.0
116
EL PASO, TX
602,951
39,996
6,633.4
117
ALBANY, NY
104,919
6,998
6,669.9
118
GLENDALE, AZ
183,029
12,259
6,697.8
119
LANSING, MI
120,821
8,095
6,700.0
120
BRIDGEPORT, CT
133,015
8,934
6,716.5
121
NORFOLK, VA
245,956
16,522
6,717.5
122
MESA, AZ
340,818
23,276
6,829.5
123
ST. PAUL, MN
267,292
18,267
6,834.1
124
FORT WAYNE, IN
186,196
12,897
6,926.6
125
MILWAUKEE, WI
627,139
43,649
6,960.0
126
SPRINGFIELD, MO
152,024
10,710
7,044.9
127
CHICAGO, IL
2,754,118
194,058
7,046.1
128
WATERBURY, CT
103,490
7,295
7,049.0
129
BUFFALO, NY
313,238
22,112
7,059.2
130
GREENSBORO, NC
203,186
14,466
7,119.6
131
PORTSMOUTH, VA
105,404
7,516
7,130.7
132
AUSTIN, TX
537,484
38,457
7,155.0
133
WICHITA, KS
312,706
22,509
7,198.1
134
JACKSONVILLE, FL
690,367
49,769
7,209.1
135
STOCKTON, CA
225,799
16,286
7,212.6
136
FORT WORTH, TX
470,254
33,918
7,212.7
137
INDEPENDENCE, MO
113,382
8,184
7,218.1
138
DES MOINES, IA
195,455
14,231
7,281.0
139
AMARILLO, TX
171,779
12,660
7,369.9
140
LAFAYETTE, LA
103,134
7,638
7,405.9
141
BROWNSVILLE, TX
117,511
8,717
7,418.0
142
SAN BERNARDINO, CA
184,303
13,737
7,453.5
143
ELIZABETH, NJ
107,427
8,022
7,467.4
144
SPOKANE, WA
199,636
14,978
7,502.7
145
BEAUMONT, TX
119,715
9,057
7,565.5
146
TOLEDO, OH
324,610
24,853
7,656.3
147
ST. PETERSBURG, FL
246,229
19,115
7,763.1
148
SPRINGFIELD, IL
106,794
8,419
7,883.4
149
SACRAMENTO, CA
379,283
30,073
7,928.9
150
DALLAS, TX
1,060,585
84,121
7,931.6
151
RICHMOND, VA
204,881
16,388
7,998.8
152
HUNTSVILLE, AL
162,376
12,991
8,000.6
153
CHATTANOOGA, TN
156,524
12,543
8,013.5
154
SAVANNAH, GA
146,534
11,770
8,032.3
155
CHARLOTTE-MECKLENBURG, NC
554,070
44,603
8,050.1
156
ROCHESTER, NY
231,373
18,658
8,064.0
157
PROVIDENCE, RI
149,805
12,081
8,064.5
158
HIALEAH, FL
200,339
16,197
8,084.8
159
INDIANAPOLIS, IN
376,531
30,499
8,100.0
160
SAN ANTONIO, TX
1,021,477
82,969
8,122.5
161
OAKLAND, CA
372,145
31,006
8,331.7
162
MOBILE, AL
207,106
17,327
8,366.2
163
PEORIA, IL
113,790
9,530
8,375.1
164
TEMPE, AZ
156,788
13,160
8,393.5
165
COLUMBUS, OH
640,297
54,867
8,569.0
166
PHOENIX, AZ
1,139,793
98,220
8,617.4
167
SALEM, OR
119,822
10,338
8,627.8
168
NEW ORLEANS, LA
488,300
42,898
8,785.2
169
DAYTON, OH
179,680
15,815
8,801.8
170
HOLLYWOOD, FL
128,996
11,377
8,819.7
171
TUCSON, AZ
472,385
41,667
8,820.6
172
HARTFORD, CT
124,223
11,056
8,900.1
173
TALLAHASSEE, FL
138,001
12,456
9,026.0
174
PORTLAND, OR
467,906
42,471
9,076.8
175
FLINT, MI
139,588
12,729
9,119.0
176
BERKELEY, CA
101,250
9,246
9,131.9
177
BIRMINGHAM, AL
272,169
24,867
9,136.6
178
MEMPHIS, TN
631,626
57,746
9,142.4
179
ROCKFORD, IL
144,421
13,210
9,146.9
180
TACOMA, WA
189,568
17,358
9,156.6
181
SOUTH BEND, IN
106,718
9,800
9,183.1
182
JACKSON, MS
196,619
18,100
9,205.6
183
FRESNO, CA
392,049
36,226
9,240.2
184
WACO, TX
110,213
10,201
9,255.7
185
BALTIMORE, MD
716,446
66,475
9,278.4
186
NASHVILLE, TN
530,059
49,446
9,328.4
187
EUGENE, OR
122,637
11,442
9,330.0
188
MINNEAPOLIS, MN
361,595
34,018
9,407.8
189
WASHINGTON, DC
543,000
51,146
9,419.2
190
SEATTLE, WA
539,591
51,093
9,468.8
191
CORPUS CHRISTI, TX
286,660
27,447
9,574.8
192
DETROIT, MI
1,002,299
96,949
9,672.7
193
KANSAS CITY, MO
448,474
43,415
9,680.6
194
NEWARK, NJ
261,909
25,676
9,803.4
195
COLUMBIA, SC
105,316
10,338
9,816.2
196
ALBUQUERQUE, NM
426,736
41,986
9,838.9
197
LITTLE ROCK, AR
182,799
18,259
9,988.6
198
DURHAM, NC
148,571
15,147
10,195.1
199
NEW HAVEN, CT
119,566
12,420
10,387.6
200
WINSTON-SALEM, NC
160,678
16,706
10,397.2
201
BATON ROUGE, LA
229,501
23,963
10,441.3
202
SHREVEPORT, LA
199,418
21,168
10,614.9
203
MIAMI, FL
384,976
40,928
10,631.3
204
ORLANDO, FL
182,616
20,053
10,981.0
205
OKLAHOMA CITY, OK
469,632
51,722
11,013.3
206
TOPEKA, KS
121,495
13,892
11,434.2
207
MACON, GA
113,802
13,040
11,458.5
208
SALT LAKE CITY, UT
180,180
20,782
11,534.0
209
TAMPA, FL
294,670
34,184
11,600.8
210
ST. LOUIS, MO
374,041
46,385
12,401.0
211
FORT LAUDERDALE, FL
168,059
22,903
13,628.0
212
ATLANTA, GA
413,123
56,841
13,758.9
NOTES

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:
 

City & State
BABYLON TOWN, NY
BROOKHAVEN, NY
CEDAR RAPIDS, IA
HUNTINGTON, NY
ISLIP, NY
KANSAS CITY, KS
OVERLAND PARK, KS
SPRINGFIELD, MA
WARREN, MI
 
METHODOLOGY

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®.
 

THE INDEX

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:
 
 

VIOLENT CRIME
PROPERTY CRIME
Murder and non-negligent manslaughter Burglary
Forcible Rape Larceny-Theft
Robbery Motor Vehicle Theft
Aggravated Assault  
 
STRENGTHS AND WEAKNESSES

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.