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Home • Crime in the U.S. • 2015 • Crime in the U.S. 2015 • Tables • Table 10 • Table 10 State Pieces • Table 10 - Minnesota

Table 10

MINNESOTA

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2015

[The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriff's office or county police department.]

Metropolitan/Nonmetropolitan County Violent
crime 		Murder and
nonnegligent
manslaughter		 Rape
(revised
definition)1 		Rape
(legacy
definition)2 		Robbery Aggravated
assault		 Property
crime 		Burglary Larceny-
theft		 Motor
vehicle
theft		 Arson
Metropolitan Counties Anoka 88 0 48 6 34 1,060 175 816 69 3
Benton 24 0 13 0 11 209 42 142 25 1
Blue Earth 11 0 4 1 6 111 44 55 12 2
Carlton 15 0 6 2 7 232 65 149 18 2
Carver 46 2 13 3 28 845 106 715 24 3
Chisago 17 0 4 0 13 218 49 157 12 0
Clay 4 0 0 0 4 74 18 45 11 1
Dakota 28 0 5 2 21 80 18 56 6 0
Dodge 17 0 0 1 16 127 32 84 11 0
Fillmore 15 0 0 0 15 63 18 44 1 2
Hennepin 33 0 2 1 30 70 3 65 2 0
Houston 8 0 2 0 6 41 18 19 4 1
Isanti 23 0 2 0 21 306 93 199 14 1
Le Sueur 9 0 4 0 5 73 9 64 0 0
Mille Lacs 15 0 4 0 11 395 90 272 33 0
Nicollet 2 0 0 0 2 74 29 40 5 0
Olmsted 28 0 10 4 14 284 111 149 24 1
Polk 21 0 10 1 10 120 40 72 8 1
Ramsey 47 0 19 5 23 743 87 566 90 0
Scott 11 0 3 1 7 93 28 58 7 0
Sherburne 16 0 4 2 10 391 73 290 28 0
Sibley 4 0 2 0 2 5 3 2 0 0
Stearns 31 0 11 1 19 392 64 308 20 0
St. Louis 55 0 17 1 37 833 275 503 55 8
Wabasha 2 0 0 0 2 37 7 27 3 0
Washington 39 1 11 5 22 750 121 585 44 3
Wright 97 2 25 8 62 1,731 112 1,551 68 0
Nonmetropolitan Counties Aitkin 18 0 9 0 9 199 86 107 6 1
Becker 27 1 15 0 11 193 58 106 29 0
Beltrami 54 1 19 1 33 369 117 227 25 5
Big Stone 3 0 0 0 3 32 7 23 2 0
Brown 1 0 0 0 1 26 2 20 4 0
Cass 71 1 43 5 22 382 138 207 37 0
Chippewa 3 0 0 0 3 25 4 20 1 1
Clearwater 25 0 7 0 18 89 35 45 9 0
Cook 6 1 1 0 4 73 13 52 8 0
Cottonwood 4 0 1 0 3 20 5 11 4 1
Crow Wing 18 0 4 0 14 343 129 197 17 2
Douglas 18 1 3 0 14 179 47 113 19 1
Faribault 8 0 4 0 4 67 22 43 2 0
Freeborn 10 0 4 0 6 88 22 57 9 0
Goodhue 13 1 5 1 6 144 49 84 11 0
Grant 1 0 1 0 0 45 19 24 2 0
Hubbard 4 0 2 0 2 192 74 107 11 0
Itasca 27 0 16 1 10 80 13 67 0 1
Jackson 3 0 0 0 3 70 18 46 6 0
Kanabec 20 0 0 1 19 295 110 167 18 2
Kandiyohi 17 0 6 0 11 198 38 148 12 1
Kittson 0 0 0 0 0 6 2 4 0 0
Koochiching 4 0 2 0 2 84 31 49 4 0
Lac Qui Parle 1 1 0 0 0 28 11 14 3 1
Lake 2 0 1 0 1 13 3 9 1 0
Lake of the Woods 3 0 0 0 3 3 0 3 0 0
Lincoln 12 0 0 0 12 0 0 0 0 0
Lyon 7 2 1 0 4 38 8 25 5 2
Mahnomen 31 1 2 0 28 153 40 97 16 2
Marshall 1 1 0 0 0 0 0 0 0 0
Martin 2 0 0 0 2 14 4 10 0 0
McLeod 10 0 2 0 8 97 35 56 6 0
Meeker 16 0 6 0 10 120 34 77 9 0
Morrison 5 0 4 0 1 250 51 188 11 0
Mower 15 1 3 1 10 101 41 46 14 0
Murray 1 0 1 0 0 38 16 22 0 0
Nobles 8 1 4 1 2 28 13 12 3 0
Norman 0 0 0 0 0 0 0 0 0 0
Otter Tail 29 0 10 0 19 364 142 194 28 2
Pennington 8 0 2 1 5 52 12 29 11 0
Pine 54 2 11 5 36 1,210 286 836 88 6
Pipestone 2 0 0 0 2 114 22 91 1 0
Pope 2 0 1 0 1 68 10 51 7 1
Red Lake 3 0 0 0 3 13 2 9 2 0
Redwood 8 0 1 0 7 35 3 31 1 0
Renville 6 1 2 0 3 98 20 71 7 0
Rice 10 1 2 0 7 164 58 86 20 0
Rock 74 0 0 0 74 65 7 52 6 0
Roseau 2 0 1 0 1 139 22 111 6 0
Steele 8 0 0 0 8 90 28 50 12 0
Stevens 2 0 0 0 2 36 19 16 1 0
Swift 1 0 0 0 1 20 12 5 3 0
Todd 27 0 12 1 14 141 43 90 8 0
Traverse 1 0 0 0 1 22 7 15 0 0
Wadena 7 0 2 1 4 27 13 14 0 0
Waseca 1 0 1 0 0 78 36 37 5 0
Watonwan 2 0 1 0 1 47 16 27 4 0
Wilkin 0 0 0 0 0 14 4 9 1 0
Winona 6 0 3 0 3 47 8 36 3 0
Yellow Medicine 6 0 1 0 5 53 13 35 5 0
  • 1 The figures shown in this column for the offense of rape were reported using the revised Uniform Crime Reporting (UCR) definition of rape. See the data declaration for further explanation.
  • 2 The figures shown in this column for the offense of rape were reported using the legacy UCR definition of rape. See the data declaration for further explanation.

Data Declaration

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