Substance Use in Minnesota : Data By Topic

Number of Children Arrested for a Serious Crime, All Available Years: by County

Get Table

	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014
Minnesota	14,059	12,094	11,980	10,686	11,319	10,895	11,847	11,351	9,669	8,957	8,238	7,067	6,361
Aitkin County	27	19	15	13	15	5	26	5	4	3	11	8	1
Anoka County	965	864	748	749	881	865	855	830	629	632	470	406	418
Becker County	96	98	66	53	51	48	32	48	69	21	21	0	0
Beltrami County	151	142	138	131	96	137	141	165	117	88	100	87	77
Benton County	49	35	18	25	28	22	32	28	8	13	24	11	18
Big Stone County	21	10	22	3	10	7	5	0	6	4	0	0	0
Blue Earth County	196	210	128	157	145	299	302	303	245	206	173	153	127
Brown County	36	35	28	28	31	30	13	18	13	13	6	13	13
Carlton County	100	116	60	50	11	38	48	28	18	44	40	17	34
Carver County	131	169	143	124	129	133	103	190	131	118	80	77	67
Cass County	38	25	25	23	21	12	13	5	10	4	5	8	7
Chippewa County	14	9	13	10	16	27	27	31	13	0	0	0	0
Chisago County	95	74	67	78	82	67	77	98	109	37	24	14	18
Clay County	160	137	111	75	63	74	66	39	56	39	51	52	49
Clearwater County	13	27	18	6	10	9	13	10	10	16	4	14	4
Cook County	5	0	6	1	2	6	0	0	1	4	2	0	0
Cottonwood County	41	46	23	17	21	25	30	19	13	8	5	2	6
Crow Wing County	39	185	108	133	128	113	99	121	72	101	114	77	98
Dakota County	1,035	976	1,011	856	972	869	947	958	617	601	555	566	537
Dodge County	9	5	0	0	0	6	3	6	7	8	3	4	1
Douglas County	146	70	101	85	70	77	107	54	76	45	40	33	49
Faribault County	14	32	12	20	13	15	17	6	28	8	23	16	10
Fillmore County	2	3	6	7	3	0	5	2	4	0	4	1	0
Freeborn County	107	97	96	65	74	56	72	43	44	56	68	47	57
Goodhue County	98	106	89	86	57	103	84	46	45	44	47	37	54
Grant County	8	10	9	6	4	2	2	0	4	3	1	1	2
Hennepin County	3,866	3,347	3,151	2,719	2,873	3,188	3,293	3,257	2,874	2,949	2,714	2,214	1,905
Houston County	31	34	30	26	19	10	5	7	2	13	6	3	3
Hubbard County	9	49	40	21	41	36	23	42	30	23	29	16	19
Isanti County	49	51	49	70	26	28	53	15	12	27	36	28	30
Itasca County	0	3	9	3	10	4	3	4	0	0	0	5	21
Jackson County	2	10	7	18	7	3	2	10	0	2	0	2	1
Kanabec County	24	33	30	26	45	26	15	21	29	25	3	0	0
Kandiyohi County	233	191	169	185	112	115	142	136	108	75	94	81	84
Kittson County	1	4	5	9	3	3	3	0	0	0	0	2	4
Koochiching County	30	23	15	73	24	5	16	14	6	0	4	11	0
Lac Qui Parle County	0	1	3	1	3	1	2	0	5	0	7	4	3
Lake County	8	11	5	4	3	6	7	10	5	1	1	3	3
Lake of the Woods County	0	3	0	2	1	2	1	0	0	0	0	0	0
Le Sueur County	12	13	12	15	41	29	54	28	15	9	13	13	8
Lincoln County	0	N/A	0	N/A	N/A	N/A	0	N/A	N/A	0	0	0	0
Lyon County	93	52	64	53	52	74	54	75	76	73	82	45	26
McLeod County	95	121	68	53	69	75	117	75	100	35	43	20	22
Mahnomen County	7	8	12	11	3	0	0	2	0	1	1	0	0
Marshall County	3	8	8	5	N/A	N/A	5	6	7	2	0	0	0
Martin County	49	66	48	42	29	39	45	34	29	32	19	4	26
Meeker County	34	29	21	19	24	17	10	11	16	12	7	14	8
Mille Lacs County	38	53	42	58	45	36	45	21	24	43	11	35	7
Morrison County	33	51	27	20	13	19	13	4	2	3	1	0	1
Mower County	164	160	125	125	120	95	87	98	84	85	99	61	83
Murray County	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A	0	0	0	0
Nicollet County	27	22	34	19	31	25	30	20	13	16	15	18	19
Nobles County	45	20	37	36	32	44	48	87	30	31	27	25	34
Norman County	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A	0	0	0	0
Olmsted County	463	525	484	334	384	416	417	403	336	254	281	232	179
Otter Tail County	104	63	97	59	71	94	60	48	59	43	61	43	44
Pennington County	55	44	34	59	23	19	24	15	6	31	43	12	32
Pine County	64	53	95	22	99	74	66	144	34	19	31	41	33
Pipestone County	1	0	4	0	1	1	1	2	3	0	0	0	1
Polk County	27	18	12	15	36	38	31	32	36	70	24	20	15
Pope County	12	14	3	5	5	8	9	0	3	1	1	10	7
Ramsey County	2,074	1,015	1,724	1,748	1,825	982	1,752	1,596	1,492	1,402	1,227	1,078	781
Red Lake County	0	0	0	0	0	0	0	1	0	1	0	8	0
Redwood County	35	16	43	18	6	20	28	13	8	13	11	4	5
Renville County	21	18	27	12	9	12	1	4	3	10	2	0	0
Rice County	147	137	152	125	120	107	69	95	90	49	83	64	58
Rock County	1	2	4	0	2	1	0	0	0	0	0	0	0
Roseau County	0	0	2	2	6	0	5	15	1	15	6	1	0
St. Louis County	621	480	556	416	444	461	449	396	324	264	304	262	289
Scott County	192	152	190	136	177	138	157	195	153	149	138	116	101
Sherburne County	136	153	131	120	145	129	130	87	108	66	73	62	43
Sibley County	0	4	0	0	0	0	0	N/A	0	0	0	0	0
Stearns County	527	468	392	402	526	492	481	457	433	426	278	307	302
Steele County	75	87	75	77	71	76	76	70	85	38	68	100	37
Stevens County	7	5	15	4	3	2	14	1	3	5	3	0	1
Swift County	20	24	29	16	40	31	18	20	7	5	11	4	2
Todd County	50	23	26	25	21	21	12	19	7	6	10	3	5
Traverse County	2	1	2	2	1	3	0	5	3	0	2	0	0
Wabasha County	19	5	19	10	8	14	16	12	17	2	15	13	4
Wadena County	58	17	23	23	14	12	10	17	17	10	1	1	2
Waseca County	22	23	21	7	10	22	12	18	17	17	17	13	5
Washington County	444	446	405	350	409	424	412	309	279	264	263	234	317
Watonwan County	46	22	36	24	25	33	16	32	15	10	11	13	18
Wilkin County	29	40	16	10	6	12	11	11	9	2	2	3	7
Winona County	99	72	54	57	62	88	83	90	63	40	32	30	0
Wright County	255	297	234	193	209	235	295	213	239	166	153	139	112
Yellow Medicine County	2	5	3	1	2	5	0	2	3	4	4	5	5

About the Indicator:

Children under 18 arrested for Part I crimes: murder, rape, robbery, aggravated assault, burglary, larceny, vehicle theft, and arson. Not all children arrested for serious crimes committed these crimes, and some children are not arrested for crimes that they actually committed. The rate per 1,000 is the total number of children arrested for Part I crimes divided by the estimated number of children ages 10-17 multiplied by 1,000. These rates are useful for comparison purposes and trends, but may be low because of the inclusion of children in the younger age ranges and the inclusion of girls, both of whom have few arrests. For more on this see the Annie E. Casey Foundation Kids Count Data Center at http://datacenter.kidscount.org/

Data Source: Minnesota Crime Information, Minnesota Bureau of Criminal Apprehension

Description: Minnesota Crime Information is a statistical report detailing the amount of criminal activity within the State as collected and prepared from data submitted by individual law enforcement agencies. The criminal activity consists of measurements involving offenses, clearances, and arrests.

Sponsored by: Minnesota Department of Public Safety, Bureau of Criminal Apprehension, Criminal Justice Information System

Geographic Level: State

Aggregated data at the state and county level do not reveal disparities that may exist within a given geographic area.

Frequency: Data collected and reported annually

Characteristics: Race/ethnicity is often determined by law enforcement and therefore may not be as accurate as self-reported status.

Risk Factors

Geographic Area:

Number of Children Arrested for a Serious Crime, All Available Years: by County