Table 10
MINNESOTA
Offenses Known to Law Enforcement
by Metropolitan and Nonmetropolitan Counties, 2018
[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 | Anoka | 39 | 0 | 13 | 2 | 24 | 791 | 92 | 643 | 56 | 3 |
| Benton | 17 | 1 | 6 | 0 | 10 | 164 | 40 | 102 | 22 | 1 | |
| Blue Earth2 | 21 | 1 | 6 | 2 | 12 | 117 | 44 | 58 | 15 | 0 | |
| Carlton | 15 | 1 | 6 | 0 | 8 | 147 | 46 | 89 | 12 | 0 | |
| Carver | 50 | 0 | 26 | 6 | 18 | 515 | 75 | 411 | 29 | 5 | |
| Chisago | 3 | 0 | 0 | 1 | 2 | 82 | 11 | 64 | 7 | 0 | |
| Clay | 8 | 1 | 1 | 1 | 5 | 57 | 25 | 23 | 9 | 0 | |
| Dakota | 38 | 0 | 7 | 0 | 31 | 102 | 22 | 72 | 8 | 0 | |
| Dodge | 9 | 1 | 0 | 0 | 8 | 110 | 17 | 85 | 8 | 0 | |
| Fillmore | 10 | 0 | 2 | 0 | 8 | 46 | 6 | 37 | 3 | 1 | |
| Hennepin | 20 | 0 | 0 | 2 | 18 | 59 | 3 | 54 | 2 | 0 | |
| Houston | 3 | 0 | 1 | 0 | 2 | 29 | 7 | 18 | 4 | 0 | |
| Isanti | 17 | 0 | 4 | 1 | 12 | 207 | 46 | 139 | 22 | 0 | |
| Lake | 1 | 0 | 0 | 0 | 1 | 4 | 2 | 2 | 0 | 0 | |
| Le Sueur | 8 | 0 | 2 | 0 | 6 | 101 | 21 | 78 | 2 | 0 | |
| Mille Lacs | 33 | 3 | 6 | 3 | 21 | 481 | 104 | 326 | 51 | 1 | |
| Nicollet | 7 | 0 | 2 | 1 | 4 | 76 | 27 | 45 | 4 | 0 | |
| Olmsted | 41 | 0 | 20 | 7 | 14 | 324 | 99 | 205 | 20 | 1 | |
| Polk | 20 | 0 | 8 | 1 | 11 | 127 | 27 | 82 | 18 | 2 | |
| Ramsey2 | 96 | 0 | 19 | 14 | 63 | 1,038 | 150 | 795 | 93 | 5 | |
| Scott | 9 | 1 | 2 | 0 | 6 | 139 | 21 | 112 | 6 | 0 | |
| Sherburne | 28 | 0 | 12 | 2 | 14 | 290 | 37 | 232 | 21 | 0 | |
| Stearns | 31 | 0 | 15 | 0 | 16 | 250 | 59 | 165 | 26 | 3 | |
| St. Louis | 38 | 1 | 14 | 4 | 19 | 674 | 231 | 376 | 67 | 6 | |
| Wabasha2 | 7 | 0 | 2 | 0 | 5 | 46 | 8 | 32 | 6 | 0 | |
| Washington | 53 | 0 | 23 | 5 | 25 | 643 | 109 | 483 | 51 | 0 | |
| Wright | 112 | 0 | 41 | 4 | 67 | 1,480 | 124 | 1,289 | 67 | 1 | |
| Nonmetropolitan Counties | Aitkin | 10 | 1 | 2 | 1 | 6 | 166 | 63 | 91 | 12 | 1 |
| Becker | 38 | 1 | 14 | 1 | 22 | 210 | 87 | 97 | 26 | 1 | |
| Beltrami | 43 | 0 | 7 | 4 | 32 | 347 | 103 | 205 | 39 | 4 | |
| Big Stone | 2 | 0 | 0 | 0 | 2 | 34 | 9 | 24 | 1 | 0 | |
| Brown | 2 | 0 | 2 | 0 | 0 | 25 | 12 | 8 | 5 | 1 | |
| Cass | 55 | 3 | 30 | 0 | 22 | 632 | 112 | 456 | 64 | 2 | |
| Chippewa | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Clearwater | 15 | 0 | 7 | 0 | 8 | 66 | 22 | 31 | 13 | 2 | |
| Cook | 7 | 0 | 4 | 0 | 3 | 32 | 3 | 29 | 0 | 0 | |
| Cottonwood | 6 | 0 | 0 | 0 | 6 | 20 | 8 | 11 | 1 | 0 | |
| Crow Wing | 34 | 0 | 9 | 1 | 24 | 329 | 119 | 194 | 16 | 0 | |
| Douglas2 | 13 | 1 | 5 | 0 | 7 | 197 | 46 | 130 | 21 | 1 | |
| Faribault2 | 16 | 0 | 0 | 0 | 16 | 79 | 46 | 22 | 11 | 0 | |
| Freeborn | 7 | 0 | 2 | 1 | 4 | 124 | 47 | 63 | 14 | 0 | |
| Goodhue | 16 | 0 | 2 | 1 | 13 | 183 | 56 | 114 | 13 | 3 | |
| Grant | 2 | 0 | 0 | 0 | 2 | 10 | 3 | 6 | 1 | 0 | |
| Hubbard | 25 | 0 | 7 | 0 | 18 | 223 | 76 | 125 | 22 | 1 | |
| Itasca | 19 | 0 | 6 | 1 | 12 | 217 | 71 | 134 | 12 | 0 | |
| Jackson | 4 | 0 | 1 | 0 | 3 | 30 | 6 | 21 | 3 | 0 | |
| Kanabec | 29 | 0 | 0 | 0 | 29 | 46 | 8 | 26 | 12 | 0 | |
| Kandiyohi | 22 | 1 | 6 | 1 | 14 | 215 | 50 | 143 | 22 | 0 | |
| Kittson | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 2 | 1 | 0 | |
| Koochiching | 2 | 0 | 1 | 0 | 1 | 19 | 1 | 15 | 3 | 0 | |
| Lac qui Parle | 1 | 0 | 0 | 0 | 1 | 10 | 3 | 4 | 3 | 0 | |
| Lake of the Woods | 1 | 0 | 0 | 0 | 1 | 11 | 3 | 7 | 1 | 0 | |
| Lincoln | 2 | 0 | 1 | 0 | 1 | 21 | 6 | 12 | 3 | 0 | |
| Lyon | 5 | 0 | 1 | 0 | 4 | 11 | 6 | 4 | 1 | 0 | |
| Mahnomen | 12 | 0 | 4 | 0 | 8 | 63 | 16 | 36 | 11 | 1 | |
| Marshall | 4 | 0 | 1 | 0 | 3 | 41 | 7 | 30 | 4 | 0 | |
| Martin2 | 4 | 0 | 1 | 0 | 3 | 17 | 8 | 7 | 2 | 0 | |
| McLeod | 8 | 0 | 3 | 0 | 5 | 71 | 23 | 46 | 2 | 0 | |
| Meeker | 11 | 0 | 1 | 0 | 10 | 83 | 27 | 48 | 8 | 0 | |
| Morrison | 8 | 0 | 0 | 2 | 6 | 267 | 65 | 184 | 18 | 0 | |
| Mower | 10 | 0 | 3 | 0 | 7 | 76 | 23 | 37 | 16 | 1 | |
| Murray | 2 | 0 | 1 | 0 | 1 | 12 | 1 | 10 | 1 | 0 | |
| Nobles | 11 | 0 | 6 | 0 | 5 | 26 | 8 | 18 | 0 | 2 | |
| Norman | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Otter Tail | 25 | 1 | 8 | 0 | 16 | 241 | 81 | 132 | 28 | 0 | |
| Pennington | 2 | 0 | 1 | 0 | 1 | 68 | 18 | 42 | 8 | 1 | |
| Pine | 43 | 0 | 12 | 0 | 31 | 412 | 105 | 240 | 67 | 3 | |
| Pipestone | 5 | 0 | 0 | 1 | 4 | 109 | 13 | 95 | 1 | 0 | |
| Pope | 0 | 0 | 0 | 0 | 0 | 33 | 16 | 14 | 3 | 0 | |
| Red Lake | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 5 | 1 | 0 | |
| Redwood | 6 | 0 | 1 | 0 | 5 | 42 | 8 | 30 | 4 | 0 | |
| Renville | 3 | 0 | 1 | 0 | 2 | 67 | 12 | 46 | 9 | 0 | |
| Rice | 16 | 0 | 6 | 1 | 9 | 209 | 47 | 143 | 19 | 1 | |
| Rock | 1 | 0 | 0 | 1 | 0 | 38 | 4 | 29 | 5 | 0 | |
| Roseau | 4 | 0 | 1 | 0 | 3 | 63 | 14 | 41 | 8 | 0 | |
| Sibley | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 3 | 0 | 0 | |
| Steele | 8 | 0 | 2 | 0 | 6 | 88 | 25 | 51 | 12 | 0 | |
| Stevens | 6 | 1 | 1 | 0 | 4 | 40 | 4 | 36 | 0 | 0 | |
| Swift | 4 | 0 | 1 | 0 | 3 | 18 | 5 | 13 | 0 | 0 | |
| Todd | 15 | 0 | 5 | 1 | 9 | 146 | 41 | 98 | 7 | 1 | |
| Traverse | 0 | 0 | 0 | 0 | 0 | 28 | 5 | 21 | 2 | 0 | |
| Wadena2 | 8 | 0 | 1 | 0 | 7 | 12 | 7 | 5 | 0 | 0 | |
| Waseca2 | 9 | 0 | 3 | 0 | 6 | 72 | 28 | 42 | 2 | 0 | |
| Watonwan | 6 | 0 | 3 | 0 | 3 | 39 | 15 | 21 | 3 | 0 | |
| Wilkin | 4 | 0 | 2 | 0 | 2 | 20 | 0 | 16 | 4 | 0 | |
| Winona | 7 | 0 | 4 | 0 | 3 | 78 | 17 | 54 | 7 | 0 | |
| Yellow Medicine | 3 | 0 | 0 | 0 | 3 | 30 | 5 | 22 | 3 | 0 |
- 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.
