Table 8

SOUTH DAKOTA
Offenses Known to Law Enforcement
by State by City, 2008

City	Population	Violent crime	Murder and nonnegligent manslaughter	Forcible rape	Robbery	Aggravated assault	Property crime	Burglary	Larceny- theft	Motor vehicle theft	Arson¹
Aberdeen	24,382	45	0	19	3	23	503	91	389	23	7
Armour	659	2	0	2	0	0	5	4	1	0	0
Avon	518	0	0	0	0	0	0	0	0	0	0
Belle Fourche	4,926	11	0	2	0	9	60	15	42	3	1
Bonesteel	253	0	0	0	0	0	0	0	0	0	0
Box Elder	3,312	7	0	2	1	4	83	11	67	5	0
Brandon	7,445	2	0	0	0	2	51	2	49	0	0
Brookings	19,546	10	0	6	0	4	248	23	211	14	0
Burke	565	0	0	0	0	0	0	0	0	0	0
Canton	4,275	4	0	2	0	2	41	8	30	3	1
Centerville	843	1	0	0	0	1	0	0	0	0	0
Chamberlain	2,249	12	0	1	0	11	37	7	24	6	1
Deadwood	1,283	0	0	0	0	0	48	2	38	8	0
Delmont	216	0	0	0	0	0	0	0	0	0	0
Eagle Butte	953	0	0	0	0	0	14	4	10	0	0
Estelline	662	0	0	0	0	0	8	1	7	0	0
Eureka	927	0	0	0	0	0	0	0	0	0	0
Freeman	1,182	0	0	0	0	0	0	0	0	0	0
Gettysburg	1,061	1	0	0	0	1	7	2	5	0	0
Hermosa	355	0	0	0	0	0	0	0	0	0	0
Hot Springs	4,040	2	0	0	0	2	49	19	29	1	0
Hoven	395	0	0	0	0	0	0	0	0	0	0
Irene	401	0	0	0	0	0	2	1	1	0	0
Jefferson	596	0	0	0	0	0	1	0	1	0	0
Kadoka	647	1	0	0	0	1	2	0	2	0	0
Kimball	682	0	0	0	0	0	0	0	0	0	0
Lead	2,874	1	0	0	0	1	12	3	9	0	0
Lemmon	1,167	2	0	1	0	1	11	4	6	1	0
Lennox	2,846	3	0	0	0	3	7	1	6	0	0
Leola	382	0	0	0	0	0	0	0	0	0	0
Madison	6,294	2	0	0	0	2	107	14	91	2	0
Martin	1,002	4	0	0	0	4	3	2	1	0	0
McIntosh	208	0	0	0	0	0	0	0	0	0	0
Menno	664	0	0	0	0	0	0	0	0	0	0
Mitchell	14,861	35	0	7	2	26	476	59	397	20	8
Mobridge	3,086	5	0	1	0	4	74	9	63	2	0
New Effington	224	0	0	0	0	0	0	0	0	0	0
North Sioux City	2,549	4	0	0	0	4	45	1	44	0	0
Parkston	1,489	0	0	0	0	0	3	0	3	0	0
Pierre	14,051	46	0	14	3	29	527	83	389	55	5
Rapid City	64,556	346	2	73	50	221	2,572	392	2,035	145	22
Rosholt	428	0	0	0	0	0	0	0	0	0	0
Scotland	792	0	0	0	0	0	0	0	0	0	0
Sioux Falls	155,110	522	5	130	46	341	3,937	659	3,030	248	38
Sisseton	2,447	9	0	1	0	8	16	1	12	3	0
Spearfish	10,144	12	2	8	0	2	283	66	203	14	0
Springfield	1,490	0	0	0	0	0	0	0	0	0	0
Sturgis	5,937	10	0	1	0	9	144	23	116	5	0
Summerset	451	0	0	0	0	0	0	0	0	0	0
Tripp	633	0	0	0	0	0	0	0	0	0	0
Tyndall	1,103	0	0	0	0	0	0	0	0	0	0
Vermillion	10,251	7	0	0	1	6	112	15	92	5	2
Viborg	771	3	0	0	0	3	1	1	0	0	0
Wagner	1,545	1	0	1	0	0	1	1	0	0	0
Watertown	20,565	35	0	17	0	18	579	71	462	46	8
Wilmot	512	0	0	0	0	0	0	0	0	0	0
Winner	2,768	5	0	0	0	5	31	4	24	3	0
Yankton²	13,660	18	1	4	1	12	357	60	285	12	0

¹ The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year.
² Because of changes in the state/local agency's reporting practices, figures are not comparable to previous years' data.

Data Declaration

Provides the methodology used in constructing this table and other pertinent information about this table.