Home Crime in the U.S. 2013 Crime in the U.S. 2013 Tables Table 10 Table 10 pieces Table 10 - Minnesota

Table 10

MINNESOTA

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2013

[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 62 1 30 4 27 1,297 249 978 70 8
Benton 22 0 11 0 11 200 50 130 20 3
Blue Earth 13 0 2 2 9 184 57 113 14 0
Carlton 13 0 2 1 10 261 75 173 13 2
Carver 42 0 17 4 21 721 142 563 16 2
Chisago 20 0 0 3 17 215 39 150 26 0
Clay 11 0 3 0 8 79 23 52 4 0
Dakota 41 0 3 1 37 180 60 114 6 0
Dodge 26 0 0 0 26 222 40 175 7 0
Fillmore 14 0 1 0 13 117 64 51 2 0
Hennepin 36 0 6 3 27 107 4 100 3 3
Houston 9 0 2 0 7 58 25 31 2 0
Isanti 14 0 3 0 11 275 70 182 23 1
Le Sueur 11 0 3 0 8 111 13 91 7 0
Mille Lacs 47 0 10 1 36 634 145 446 43 6
Nicollet 8 0 7 0 1 73 28 37 8 0
Olmsted 24 0 8 2 14 332 135 183 14 2
Polk 20 0 7 0 13 206 60 137 9 3
Ramsey 11 0 2 2 7 21 5 16 0 1
Scott 7 0 3 0 4 27 6 18 3 1
Sherburne 26 3 8 0 15 348 65 260 23 2
Sibley 0 0 0 0 0 0 0 0 0 0
Stearns 23 1 10 1 11 358 81 255 22 1
St. Louis 73 1 14 6 52 819 309 444 66 8
Wabasha 7 0 0 0 7 62 6 48 8 0
Washington 32 0 6 4 22 807 178 603 26 3
Wright 65 1 10 9 45 1,610 125 1,426 59 4
Nonmetropolitan Counties Aitkin 39 0 17 1 21 451 167 260 24 1
Becker 14 2 6 0 6 156 49 95 12 1
Beltrami 36 1 17 0 18 369 99 253 17 3
Big Stone 3 0 1 0 2 35 7 26 2 0
Brown 0 0 0 0 0 6 0 6 0 0
Cass 76 0 50 3 23 1,198 237 883 78 1
Chippewa 4 0 1 0 3 30 3 26 1 0
Clearwater 25 1 6 0 18 100 36 59 5 0
Cook 4 0 0 0 4 159 9 148 2 0
Cottonwood 5 0 2 0 3 42 10 30 2 0
Crow Wing 26 0 6 1 19 523 233 261 29 0
Douglas 11 0 3 0 8 190 56 127 7 0
Faribault 2 0 0 0 2 55 25 25 5 1
Freeborn 9 0 1 0 8 94 20 63 11 1
Goodhue 9 0 4 0 5 225 53 150 22 0
Grant 5 0 0 0 5 66 23 41 2 0
Hubbard 15 1 6 0 8 227 77 144 6 0
Itasca 42 1 26 1 14 386 85 295 6 1
Jackson 6 0 1 0 5 70 6 63 1 0
Kanabec 32 0 10 1 21 282 84 178 20 0
Kandiyohi 17 1 5 0 11 229 47 171 11 2
Kittson 1 0 0 0 1 26 4 20 2 0
Koochiching 2 0 1 0 1 84 21 58 5 0
Lac Qui Parle 4 0 0 0 4 35 9 25 1 0
Lake 1 0 0 0 1 22 10 9 3 0
Lake of the Woods 2 0 0 0 2 16 4 11 1 0
Lincoln 10 0 0 0 10 18 2 16 0 0
Lyon 4 0 0 1 3 33 14 16 3 0
Mahnomen 19 0 0 2 17 77 21 50 6 1
Marshall 0 0 0 0 0 0 0 0 0 0
Martin 1 0 0 0 1 40 8 31 1 0
McLeod 10 0 2 0 8 109 39 63 7 0
Meeker 15 0 4 0 11 208 47 148 13 0
Morrison 7 1 4 0 2 236 52 166 18 0
Mower 24 0 8 2 14 146 69 67 10 0
Murray 2 0 1 0 1 39 7 30 2 0
Nobles 8 0 3 0 5 35 11 21 3 1
Norman 0 0 0 0 0 2 1 1 0 0
Otter Tail 33 1 11 0 21 441 173 244 24 0
Pennington 3 0 0 0 3 49 14 29 6 1
Pine 82 0 23 1 58 1,307 242 978 87 2
Pipestone 2 0 0 0 2 87 14 72 1 0
Pope 7 1 3 0 3 72 21 47 4 0
Red Lake 2 0 0 0 2 17 8 8 1 0
Redwood 5 0 0 0 5 28 10 16 2 1
Renville 2 0 1 0 1 118 38 71 9 0
Rice 10 0 4 0 6 223 86 125 12 0
Rock 73 0 0 1 72 81 19 57 5 0
Roseau 2 0 1 1 0 101 13 81 7 0
Steele 8 0 3 1 4 108 35 67 6 0
Stevens 3 0 0 0 3 26 10 12 4 0
Swift 4 0 0 0 4 21 4 15 2 0
Todd 17 1 7 1 8 190 80 107 3 2
Traverse 0 0 0 0 0 0 0 0 0 0
Wadena 8 0 3 0 5 58 17 35 6 2
Waseca 2 0 1 0 1 86 28 53 5 0
Watonwan 8 0 4 0 4 36 19 12 5 0
Wilkin 1 0 0 0 1 24 8 13 3 0
Winona 10 0 3 0 7 83 23 45 15 1
Yellow Medicine 1 0 0 0 1 36 12 23 1 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 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 Data Declaration for further explanation.

Data Declaration

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