Table 8

MINNESOTA

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2016

[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 44 1 15 5 23 977 157 767 53 7
Blue Earth 15 1 7 0 7 103 42 52 9 1
Carlton 19 0 8 2 9 166 49 99 18 3
Carver3 49 0 5 4 40 542 83 432 27 1
Chisago 12 0 2 0 10 213 51 145 17 0
Clay 5 0 0 1 4 65 27 29 9 0
Dakota 32 0 1 0 31 90 31 56 3 0
Dodge 4 0 0 0 4 71 12 47 12 0
Fillmore 7 0 0 1 6 73 23 46 4 1
Hennepin 19 0 0 3 16 61 2 54 5 0
Houston 4 0 2 0 2 42 7 32 3 0
Isanti 28 0 10 0 18 328 88 216 24 1
Le Sueur 5 0 1 0 4 109 31 78 0 0
Mille Lacs 23 1 5 3 14 455 79 321 55 0
Nicollet 3 0 2 0 1 62 21 41 0 0
Olmsted 23 0 13 2 8 280 85 170 25 7
Polk 30 0 9 0 21 228 72 146 10 3
Ramsey 63 0 23 16 24 1,096 140 876 80 1
Sherburne 35 0 12 3 20 405 68 319 18 0
Sibley 4 0 3 0 1 2 0 2 0 0
Stearns 47 0 15 2 30 454 79 345 30 1
St. Louis 51 1 13 1 36 717 244 397 76 9
Wabasha 6 0 0 0 6 45 6 33 6 0
Washington 75 0 19 4 52 848 180 603 65 0
Wright 97 2 41 5 49 1,737 126 1,545 66 11
Nonmetropolitan Counties Aitkin 11 1 4 2 4 263 104 143 16 0
Becker 17 0 4 0 13 118 51 48 19 0
Beltrami 52 0 9 2 41 387 94 251 42 2
Big Stone 1 0 1 0 0 23 11 12 0 0
Brown 4 0 0 0 4 20 2 17 1 0
Cass 54 1 30 3 20 401 122 235 44 0
Chippewa 1 0 0 0 1 30 11 17 2 0
Clearwater 16 0 3 0 13 93 36 53 4 2
Cook 5 0 3 0 2 115 29 83 3 0
Cottonwood 2 0 0 0 2 15 4 11 0 0
Crow Wing 24 0 6 1 17 321 116 190 15 1
Douglas 14 0 5 2 7 162 55 97 10 0
Faribault 2 0 2 0 0 62 29 24 9 0
Freeborn 3 1 2 0 0 79 27 43 9 1
Goodhue 19 0 8 2 9 161 46 95 20 1
Grant 1 0 0 0 1 13 5 8 0 0
Hubbard 20 0 6 1 13 209 74 126 9 1
Itasca 37 1 13 0 23 135 40 89 6 1
Jackson 2 0 1 1 0 40 7 31 2 0
Kanabec 22 0 0 0 22 237 68 140 29 0
Kandiyohi 22 0 3 2 17 166 26 126 14 0
Kittson 1 0 0 0 1 20 2 18 0 0
Lac qui Parle 1 0 1 0 0 26 11 15 0 1
Lake 1 0 0 0 1 14 4 5 5 0
Lake of the Woods 1 0 1 0 0 5 2 2 1 0
Lincoln 12 0 0 0 12 0 0 0 0 0
Lyon 3 0 0 0 3 56 20 32 4 0
Marshall 5 0 1 0 4 44 8 29 7 1
Martin 2 0 1 0 1 15 5 9 1 0
McLeod 14 0 6 0 8 81 28 51 2 0
Meeker 17 1 11 0 5 113 25 73 15 0
Mower 10 0 2 0 8 91 35 47 9 0
Murray 1 0 0 0 1 37 4 31 2 0
Nobles 4 0 1 0 3 24 15 8 1 0
Norman 0 0 0 0 0 2 0 2 0 1
Otter Tail 20 0 6 0 14 379 155 206 18 3
Pennington 2 0 0 0 2 15 5 7 3 0
Pine 78 0 20 6 52 864 164 597 103 6
Pope 4 0 0 0 4 33 6 22 5 0
Red Lake 0 0 0 0 0 8 0 7 1 0
Redwood 6 0 1 0 5 58 13 40 5 0
Renville 7 0 0 0 7 87 20 61 6 0
Rice 16 0 4 1 11 153 41 92 20 2
Rock 36 0 0 0 36 70 11 53 6 0
Roseau 1 0 1 0 0 75 18 50 7 0
Steele 13 1 1 1 10 80 21 49 10 1
Stevens 5 0 4 0 1 36 17 19 0 0
Swift 2 0 0 0 2 6 5 0 1 0
Todd 22 0 13 0 9 153 51 96 6 3
Traverse 1 0 0 0 1 20 4 15 1 1
Wadena 1 0 0 0 1 3 3 0 0 1
Waseca 3 0 2 0 1 54 19 29 6 0
Watonwan 4 0 2 0 2 30 18 8 4 0
Wilkin 3 0 1 1 1 20 1 18 1 0
Winona 12 1 0 0 11 47 7 34 6 0
Yellow Medicine 4 0 1 0 3 35 18 14 3 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.
  • 3 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.