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NOTES ON THIS PAGE 1996 CRIME STATISTICS MAIN PAGE THUNDER & LIGHTNING NEWS SERVICE HOME PAGE FBI HOME PAGE

1996 PRELIMINARY FBI CRIME STATISTICS BIG CITY MOTOR VEHICLE THEFT RATES from lowest to highest

Rank	City & State	1996 Population (est)	Number of Motor Vehicle Thefts	Motor Vehicle Theft Rate (per 100,000 residents)
1	NAPERVILLE, IL	101,980	106	103.9
2	FORT COLLINS, CO	103,472	158	152.7
3	AMHERST TOWN, NY	107,331	175	163.0
4	ANN ARBOR, MI	109,939	200	181.9
5	SIOUX FALLS, SD	110,891	209	188.5
6	ABILENE, TX	114,523	245	213.9
7	GREEN BAY, WI	104,283	224	214.8
8	THOUSAND OAKS, CA	112,559	252	223.9
9	VIRGINIA BEACH, VA	439,851	993	225.8
10	SIMI VALLEY, CA	108,469	253	233.2
11	PLANO, TX	163,817	388	236.8
12	BOISE, ID	153,258	374	244.0
13	LINCOLN, NB	206,704	515	249.1
14	SUNNYVALE, CA	121,284	315	259.7
15	IRVINE, CA	127,410	332	260.6
16	MIDLAND, TX	100,087	286	285.8
17	CHESAPEAKE, VA	183,965	534	290.3
18	CLEARWATER, FL	103,036	306	297.0
19	SANTA CLARITA, CA	125,435	393	313.3
20	AURORA, IL	113,220	357	315.3
21	PUEBLO, CO	105,059	332	316.0
22	STERLING HEIGHTS, MI	120,737	383	317.2
23	NEWPORT NEWS, VA	182,487	579	317.3
24	MADISON, WI	197,572	641	324.4
25	HAMPTON, VA	142,248	462	324.8
26	SPRINGFIELD, IL	106,794	363	339.9
27	EVANSVILLE, IN	131,455	453	344.6
28	SANTA ROSA, CA	118,625	421	354.9
29	ERIE, PA	108,432	386	356.0
30	WICHITA FALLS, TX	101,755	370	363.6
31	LEXINGTON, KY	241,150	915	379.4
32	LIVONIA, MI	101,450	405	399.2
33	AMARILLO, TX	171,779	687	399.9
34	BROWNSVILLE, TX	117,511	478	406.8
35	COLORADO SPRINGS, CO	331,020	1,376	415.7
36	GARLAND, TX	201,336	849	421.7
37	SPOKANE, WA	199,636	845	423.3
38	LAKEWOOD, CO	131,786	562	426.4
39	COLUMBUS, GA	194,345	837	430.7
40	LANSING, MI	120,821	536	443.6
41	SPRINGFIELD, MO	152,024	677	445.3
42	STAMFORD, CT	107,165	478	446.0
43	SAN JOSE, CA	830,374	3,719	447.9
44	RENO, NV	159,559	725	454.4
45	HUNTINGTON BEACH, CA	191,911	904	471.1
46	LUBBOCK, TX	202,403	954	471.3
47	IRVING, TX	170,960	857	501.3
48	CINCINNATI, OH	360,457	1,822	505.5
49	GREENSBORO, NC	203,186	1,048	515.8
50	FREMONT, CA	186,186	962	516.7
51	SYRACUSE, NY	160,033	840	524.9
52	ORANGE, CA	118,445	626	528.5
53	ALBANY, NY	104,919	556	529.9
54	AURORA, CO	262,188	1,398	533.2
55	PASADENA, CA	136,077	738	542.3
56	CAMBRIDGE, MA	100,725	547	543.1
57	TOPEKA, KS	121,495	670	551.5
58	GRAND RAPIDS, MI	192,358	1,073	557.8
59	RALEIGH, NC	245,176	1,376	561.2
60	MESQUITE, TX	117,795	669	567.9
61	MONTGOMERY, AL	197,972	1,126	568.8
62	HENDERSON, NV	112,217	645	574.8
63	TALLAHASSEE, FL	138,001	794	575.4
64	ALLENTOWN, PA	105,372	608	577.0
65	CORPUS CHRISTI, TX	286,660	1,668	581.9
66	BAKERSFIELD, CA	193,777	1,132	584.2
67	GLENDALE, CA	181,019	1,066	588.9
68	CONCORD, CA	113,479	690	608.0
69	FULLERTON, CA	118,524	721	608.3
70	OCEANSIDE, CA	148,308	912	614.9
71	BEAUMONT, TX	119,715	737	615.6
72	DES MOINES, IA	195,455	1,211	619.6
73	ANCHORAGE, AK	254,774	1,584	621.7
74	EUGENE, OR	122,637	763	622.2
75	SALEM, OR	119,822	746	622.6
76	SCOTTSDALE, AZ	165,644	1,051	634.5
77	OXNARD, CA	147,937	941	636.1
78	LANCASTER, CA	120,881	771	637.8
79	LAFAYETTE, LA	103,134	674	653.5
80	INDEPENDENCE, MO	113,382	742	654.4
81	PALMDALE, CA	104,894	693	660.7
82	WORCESTER, MA	166,782	1,111	666.1
83	LAREDO, TX	156,032	1,051	673.6
84	SALINAS, CA	121,517	825	678.9
85	JACKSONVILLE, FL	690,367	4,746	687.5
86	AUSTIN, TX	537,484	3,695	687.5
87	SOUTH BEND, IN	106,718	735	688.7
88	NORFOLK, VA	245,956	1,703	692.4
89	EL PASO, TX	602,951	4,360	723.1
90	HONOLULU, HI	878,044	6,370	725.5
91	PASADENA, TX	134,568	984	731.2
92	MORENO VALLEY, CA	141,292	1,045	739.6
93	HUNTSVILLE, AL	162,376	1,224	753.8
94	CHARLOTTE-MECKLENBURG, NC	554,070	4,177	753.9
95	SAVANNAH, GA	146,534	1,105	754.1
96	WICHITA, KS	312,706	2,380	761.1
97	ARLINGTON, TX	298,632	2,274	761.5
98	SHREVEPORT, LA	199,418	1,529	766.7
99	GARDEN GROVE, CA	150,062	1,158	771.7
100	VALLEJO, CA	113,069	873	772.1
101	CHATTANOOGA, TN	156,524	1,210	773.0
102	PITTSBURGH, PA	354,308	2,810	793.1
103	EL MONTE, CA	106,149	853	803.6
104	RANCHO CUCAMONGA, CA	116,431	937	804.8
105	GRAND PRAIRIE, TX	112,930	924	818.2
106	ANAHEIM, CA	286,146	2,351	821.6
107	NEW YORK, NY	7,339,594	60,345	822.2
108	ALEXANDRIA, VA	114,996	947	823.5
109	PORTSMOUTH, VA	105,404	871	826.3
110	FORT WAYNE, IN	186,196	1,563	839.4
111	PEORIA, IL	113,790	964	847.2
112	ESCONDIDO, CA	118,003	1,016	861.0
113	SAN ANTONIO, TX	1,021,477	8,796	861.1
114	CHANDLER, AZ	129,554	1,117	862.2
115	WEST COVINA, CA	104,766	905	863.8
116	TORRANCE, CA	140,185	1,211	863.9
117	BURBANK, CA	101,082	875	865.6
118	YONKERS, NY	183,650	1,600	871.2
119	COLUMBIA, SC	105,316	928	881.2
120	LITTLE ROCK, AR	182,799	1,624	888.4
121	ST. PETERSBURG, FL	246,229	2,207	896.3
122	SANTA ANA, CA	294,963	2,659	901.5
123	AKRON, OH	223,303	2,033	910.4
124	KNOXVILLE, TN	174,054	1,595	916.4
125	MOBILE, AL	207,106	1,933	933.3
126	TOLEDO, OH	324,610	3,038	935.9
127	WATERBURY, CT	103,490	969	936.3
128	RIVERSIDE, CA	245,081	2,309	942.1
129	SAN DIEGO, CA	1,168,364	11,129	952.5
130	LAS VEGAS, NV	831,303	7,926	953.4
131	ROCKFORD, IL	144,421	1,387	960.4
132	FORT WORTH, TX	470,254	4,520	961.2
133	NORWALK, CA	102,176	986	965.0
134	ST. PAUL, MN	267,292	2,636	986.2
135	PATERSON, NJ	139,759	1,380	987.4
136	RICHMOND, VA	204,881	2,028	989.8
137	MODESTO, CA	178,865	1,772	990.7
138	DURHAM, NC	148,571	1,522	1,024.4
139	LONG BEACH, CA	440,023	4,565	1,037.4
140	POMONA, CA	145,916	1,516	1,039.0
141	OMAHA, NB	350,607	3,646	1,039.9
142	BERKELEY, CA	101,250	1,061	1,047.9
143	DENVER, CO	516,224	5,425	1,050.9
144	OKLAHOMA CITY, OK	469,632	5,075	1,080.6
145	HOLLYWOOD, FL	128,996	1,421	1,101.6
146	CHULA VISTA, CA	151,377	1,686	1,113.8
147	WINSTON-SALEM, NC	160,678	1,792	1,115.3
148	MESA, AZ	340,818	3,811	1,118.2
149	TULSA, OK	379,798	4,269	1,124.0
150	GLENDALE, AZ	183,029	2,099	1,146.8
151	SAN FRANCISCO, CA	745,127	8,565	1,149.5
152	WACO, TX	110,213	1,277	1,158.7
153	ROCHESTER, NY	231,373	2,693	1,163.9
154	HAYWARD, CA	117,233	1,367	1,166.1
155	DOWNEY, CA	101,309	1,185	1,169.7
156	SEATTLE, WA	539,591	6,355	1,177.7
157	LOS ANGELES, CA	3,498,139	41,486	1,185.9
158	COLUMBUS, OH	640,297	7,610	1,188.5
159	ORLANDO, FL	182,616	2,191	1,199.8
160	LOUISVILLE, KY	274,506	3,331	1,213.5
161	INGLEWOOD, CA	111,650	1,365	1,222.6
162	CHICAGO, IL	2,754,118	34,091	1,237.8
163	TEMPE, AZ	156,788	1,944	1,239.9
164	ONTARIO, CA	136,742	1,711	1,251.3
165	MACON, GA	113,802	1,437	1,262.7
166	HOUSTON, TX	1,772,143	22,391	1,263.5
167	BIRMINGHAM, AL	272,169	3,614	1,327.9
168	STOCKTON, CA	225,799	3,053	1,352.1
169	OAKLAND, CA	372,145	5,070	1,362.4
170	TUCSON, AZ	472,385	6,497	1,375.4
171	PORTLAND, OR	467,906	6,506	1,390.5
172	BATON ROUGE, LA	229,501	3,207	1,397.4
173	KANSAS CITY, MO	448,474	6,344	1,414.6
174	FONTANA, CA	105,211	1,493	1,419.1
175	BUFFALO, NY	313,238	4,500	1,436.6
176	TACOMA, WA	189,568	2,819	1,487.1
177	PHILADELPHIA, PA	1,528,403	23,131	1,513.4
178	JERSEY CITY, NJ	228,424	3,494	1,529.6
179	NASHVILLE, TN	530,059	8,226	1,551.9
180	INDIANAPOLIS, IN	376,531	5,860	1,556.3
181	BALTIMORE, MD	716,446	11,151	1,556.4
182	MINNEAPOLIS, MN	361,595	5,650	1,562.5
183	HARTFORD, CT	124,223	1,948	1,568.1
184	PHOENIX, AZ	1,139,793	18,096	1,587.7
185	SALT LAKE CITY, UT	180,180	2,869	1,592.3
186	SACRAMENTO, CA	379,283	6,083	1,603.8
187	MILWAUKEE, WI	627,139	10,079	1,607.1
188	FLINT, MI	139,588	2,248	1,610.5
189	DALLAS, TX	1,060,585	17,143	1,616.4
190	PROVIDENCE, RI	149,805	2,423	1,617.4
191	SAN BERNARDINO, CA	184,303	2,992	1,623.4
192	ALBUQUERQUE, NM	426,736	6,988	1,637.5
193	BOSTON, MA	552,519	9,271	1,678.0
194	CLEVELAND, OH	496,049	8,629	1,739.5
195	ELIZABETH, NJ	107,427	1,872	1,742.6
196	JACKSON, MS	196,619	3,432	1,745.5
197	BRIDGEPORT, CT	133,015	2,378	1,787.8
198	DAYTON, OH	179,680	3,236	1,801.0
199	FORT LAUDERDALE, FL	168,059	3,034	1,805.3
200	WASHINGTON, DC	543,000	9,975	1,837.0
201	GARY, IN	116,024	2,248	1,937.5
202	ST. LOUIS, MO	374,041	7,270	1,943.6
203	NEW HAVEN, CT	119,566	2,345	1,961.3
204	MIAMI, FL	384,976	7,693	1,998.3
205	TAMPA, FL	294,670	6,024	2,044.3
206	NEW ORLEANS, LA	488,300	10,170	2,082.7
207	HIALEAH, FL	200,339	4,180	2,086.5
208	ATLANTA, GA	413,123	9,247	2,238.3
209	MEMPHIS, TN	631,626	14,284	2,261.5
210	FRESNO, CA	392,049	9,178	2,341.0
211	NEWARK, NJ	261,909	7,992	3,051.4
212	DETROIT, MI	1,002,299	34,265	3,418.6

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.