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.
