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Federal Bureau of Investigation Federal Bureau of Investigation

Table 10

MINNESOTA

Offenses Known to Law Enforcement

by Metropolitan and Nonmetropolitan Counties, 2019

[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		 Rape1 Robbery Aggravated
assault		 Property
crime 		Burglary Larceny-
theft		 Motor
vehicle
theft		 Arson
Metropolitan Counties Anoka2 75 0 18 7 50 936 112 731 93 0
Benton 9 0 5 1 3 173 41 101 31 1
Blue Earth 24 0 8 0 16 105 25 66 14 0
Carlton 12 0 4 0 8 166 56 93 17 1
Carver 38 0 16 4 18 497 77 401 19 1
Chisago 12 0 0 2 10 152 18 119 15 0
Clay 7 0 1 2 4 58 22 29 7 0
Dakota 17 0 2 0 15 48 13 34 1 1
Dodge2 11 0 1 0 10 104 27 71 6 0
Fillmore 9 0 2 0 7 59 11 46 2 1
Hennepin 20 0 0 0 20 44 5 35 4 0
Houston2 5 0 0 0 5 29 15 13 1 0
Isanti 15 0 4 0 11 232 43 165 24 1
Lake 0 0 0 0 0 19 14 5 0 0
Le Sueur 4 0 2 0 2 60 4 53 3 0
Mille Lacs 34 0 14 2 18 354 94 225 35 0
Nicollet 7 0 6 1 0 52 13 37 2 0
Olmsted2 40 1 3 3 33 228 57 153 18 2
Polk2 34 1 4 0 29 167 49 112 6 0
Ramsey 141 1 22 27 91 1,249 158 930 161 8
Scott 4 0 0 0 4 25 8 15 2 0
Sherburne 30 2 5 1 22 272 26 226 20 2
Stearns 21 0 12 1 8 164 32 124 8 0
St. Louis2 50 1 22 0 27 566 208 303 55 5
Wabasha 7 0 1 0 6 22 3 16 3 0
Washington 52 0 27 7 18 579 116 428 35 2
Wright 98 0 45 3 50 1,396 127 1,204 65 3
Nonmetropolitan Counties Aitkin2 11 1 3 0 7 167 59 99 9 0
Becker 29 0 11 0 18 134 57 59 18 2
Beltrami 50 2 13 2 33 268 74 164 30 3
Big Stone 0 0 0 0 0 14 5 7 2 0
Brown2 5 0 2 0 3 31 6 21 4 0
Cass2 37 1 5 3 28 486 143 293 50 1
Chippewa 2 0 0 0 2 1 0 1 0 0
Clearwater 10 0 1 0 9 47 19 24 4 1
Cook 10 0 5 0 5 47 6 36 5 0
Cottonwood2 2 0 0 0 2 13 6 3 4 0
Crow Wing 15 0 6 0 9 210 71 121 18 1
Douglas 18 0 4 1 13 180 50 114 16 1
Faribault 12 0 0 0 12 27 8 11 8 0
Freeborn 11 0 1 0 10 84 28 48 8 6
Goodhue 10 0 4 0 6 171 39 103 29 0
Grant 2 0 0 0 2 6 1 5 0 0
Hubbard 18 0 9 0 9 170 46 105 19 1
Itasca2 46 1 15 0 30 134 35 79 20 3
Jackson2 6 0 0 0 6 30 11 16 3 0
Kandiyohi 25 0 10 1 14 170 32 121 17 1
Kittson 0 0 0 0 0 0 0 0 0 0
Koochiching 6 0 1 0 5 32 7 19 6 0
Lac qui Parle2 0 0 0 0 0 20 3 14 3 0
Lake of the Woods 6 0 1 0 5 9 4 3 2 0
Lyon2 4 0 1 0 3 34 13 15 6 1
Mahnomen 10 0 1 0 9 42 14 23 5 1
Martin 0 0 0 0 0 14 5 7 2 0
McLeod 11 0 6 0 5 55 10 40 5 0
Meeker 4 0 0 1 3 103 21 77 5 0
Morrison 10 0 0 0 10 195 45 128 22 1
Mower 9 0 2 0 7 68 18 40 10 0
Murray2 2 0 0 0 2 6 1 5 0 0
Nobles 6 0 1 0 5 35 10 21 4 0
Norman 0 0 0 0 0 0 0 0 0 0
Otter Tail 30 0 8 1 21 214 65 135 14 0
Pennington 2 0 0 1 1 45 21 20 4 0
Pine 138 0 42 3 93 563 126 374 63 4
Pipestone 5 0 0 0 5 80 14 64 2 0
Pope 6 0 1 1 4 49 18 26 5 0
Red Lake2 3 0 2 0 1 16 0 15 1 0
Redwood 6 0 0 0 6 44 9 32 3 0
Renville 5 0 2 0 3 81 18 55 8 0
Rice 18 0 7 1 10 142 42 92 8 0
Rock 7 0 1 0 6 57 14 29 14 0
Roseau 6 0 2 0 4 31 2 27 2 0
Sibley 2 0 0 0 2 1 1 0 0 0
Steele 12 0 3 2 7 76 17 48 11 0
Stevens 2 0 1 0 1 33 9 24 0 0
Swift 2 0 0 1 1 2 0 1 1 0
Todd2 17 2 7 0 8 140 39 91 10 1
Traverse2 6 0 1 0 5 12 1 6 5 0
Wadena 10 0 2 0 8 10 1 8 1 0
Waseca 4 0 3 0 1 55 13 41 1 0
Watonwan2 8 0 5 0 3 26 15 10 1 1
Wilkin 0 0 0 0 0 20 6 11 3 0
Winona 6 0 2 0 4 79 14 60 5 0
Yellow Medicine 3 0 1 0 2 35 8 24 3 1
  • 1 The figures shown in this column for the offense of rape were reported using only the revised Uniform Crime Reporting definition of rape. See the data declaration for further explanation.
  • 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.