Table 10
WISCONSIN
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 | Brown | 103 | 0 | 44 | 4 | 55 | 639 | 71 | 538 | 30 | 4 |
Calumet | 9 | 2 | 4 | 0 | 3 | 49 | 9 | 35 | 5 | 1 | |
Chippewa | 30 | 1 | 14 | 0 | 15 | 263 | 46 | 196 | 21 | 1 | |
Columbia | 21 | 0 | 8 | 1 | 12 | 184 | 43 | 128 | 13 | 1 | |
Dane | 82 | 1 | 22 | 6 | 53 | 605 | 141 | 414 | 50 | 1 | |
Douglas | 20 | 0 | 7 | 1 | 12 | 204 | 79 | 105 | 20 | 2 | |
Eau Claire2 | 30 | 1 | 14 | 3 | 12 | 223 | 65 | 147 | 11 | 0 | |
Fond du Lac | 22 | 0 | 8 | 1 | 13 | 155 | 40 | 101 | 14 | 0 | |
Green | 7 | 0 | 0 | 2 | 5 | 50 | 11 | 37 | 2 | 0 | |
Iowa | 12 | 1 | 1 | 0 | 10 | 43 | 6 | 33 | 4 | 1 | |
Kenosha | 42 | 1 | 11 | 3 | 27 | 365 | 75 | 271 | 19 | 0 | |
Kewaunee | 3 | 0 | 1 | 1 | 1 | 47 | 4 | 36 | 7 | 0 | |
La Crosse | 15 | 0 | 2 | 1 | 12 | 133 | 33 | 93 | 7 | 0 | |
Lincoln | 21 | 0 | 8 | 0 | 13 | 67 | 18 | 46 | 3 | 1 | |
Marathon | 19 | 0 | 3 | 0 | 16 | 254 | 54 | 191 | 9 | 1 | |
Milwaukee | 82 | 1 | 5 | 7 | 69 | 144 | 3 | 59 | 82 | 3 | |
Oconto | 15 | 0 | 6 | 1 | 8 | 224 | 57 | 151 | 16 | 0 | |
Outagamie | 52 | 0 | 12 | 1 | 39 | 233 | 72 | 149 | 12 | 2 | |
Ozaukee | 12 | 0 | 6 | 1 | 5 | 102 | 26 | 71 | 5 | 0 | |
Pierce | 15 | 1 | 0 | 1 | 13 | 123 | 45 | 72 | 6 | 0 | |
Racine | 21 | 0 | 0 | 4 | 17 | 208 | 44 | 149 | 15 | 0 | |
Rock2 | 34 | 0 | 14 | 3 | 17 | 380 | 122 | 238 | 20 | 1 | |
Sheboygan | 42 | 0 | 16 | 1 | 25 | 310 | 40 | 256 | 14 | 1 | |
St. Croix | 25 | 1 | 3 | 1 | 20 | 259 | 58 | 188 | 13 | 2 | |
Washington | 6 | 0 | 4 | 1 | 1 | 205 | 37 | 143 | 25 | 8 | |
Waukesha | 56 | 0 | 0 | 3 | 53 | 320 | 59 | 237 | 24 | 2 | |
Winnebago | 21 | 0 | 1 | 1 | 19 | 167 | 35 | 124 | 8 | 0 | |
Nonmetropolitan Counties | Adams | 27 | 0 | 0 | 1 | 26 | 187 | 94 | 85 | 8 | 1 |
Ashland | 5 | 0 | 0 | 0 | 5 | 24 | 4 | 19 | 1 | 0 | |
Barron | 2 | 2 | 0 | 0 | 0 | 113 | 38 | 62 | 13 | 0 | |
Bayfield | 16 | 0 | 0 | 0 | 16 | 81 | 38 | 39 | 4 | 1 | |
Buffalo | 3 | 0 | 2 | 0 | 1 | 10 | 2 | 4 | 4 | 0 | |
Burnett | 30 | 0 | 5 | 1 | 24 | 341 | 124 | 193 | 24 | 2 | |
Clark | 6 | 3 | 0 | 0 | 3 | 99 | 23 | 60 | 16 | 1 | |
Crawford | 17 | 0 | 4 | 0 | 13 | 105 | 13 | 90 | 2 | 0 | |
Dodge | 67 | 1 | 26 | 2 | 38 | 168 | 45 | 105 | 18 | 1 | |
Door | 16 | 0 | 10 | 0 | 6 | 59 | 1 | 56 | 2 | 0 | |
Dunn | 15 | 1 | 1 | 0 | 13 | 131 | 33 | 95 | 3 | 0 | |
Florence | 8 | 0 | 0 | 0 | 8 | 45 | 14 | 29 | 2 | 0 | |
Forest | 21 | 0 | 9 | 1 | 11 | 96 | 18 | 68 | 10 | 0 | |
Grant | 32 | 1 | 11 | 0 | 20 | 121 | 21 | 92 | 8 | 1 | |
Green Lake | 5 | 0 | 1 | 0 | 4 | 42 | 16 | 23 | 3 | 0 | |
Iron | 6 | 0 | 1 | 0 | 5 | 65 | 16 | 43 | 6 | 0 | |
Jackson | 11 | 0 | 2 | 1 | 8 | 170 | 56 | 85 | 29 | 0 | |
Jefferson | 34 | 0 | 1 | 0 | 33 | 266 | 40 | 207 | 19 | 2 | |
Lafayette | 14 | 0 | 3 | 0 | 11 | 72 | 12 | 54 | 6 | 1 | |
Langlade | 4 | 0 | 2 | 0 | 2 | 107 | 16 | 85 | 6 | 0 | |
Manitowoc | 23 | 0 | 4 | 1 | 18 | 183 | 60 | 118 | 5 | 0 | |
Marinette | 6 | 0 | 5 | 0 | 1 | 136 | 39 | 90 | 7 | 0 | |
Marquette | 3 | 0 | 1 | 0 | 2 | 69 | 14 | 52 | 3 | 0 | |
Menominee | 1 | 0 | 0 | 0 | 1 | 26 | 4 | 21 | 1 | 0 | |
Monroe | 7 | 2 | 1 | 0 | 4 | 100 | 31 | 61 | 8 | 0 | |
Oneida | 44 | 0 | 10 | 0 | 34 | 168 | 52 | 99 | 17 | 0 | |
Pepin | 10 | 0 | 1 | 0 | 9 | 23 | 6 | 16 | 1 | 1 | |
Polk | 35 | 0 | 9 | 0 | 26 | 245 | 85 | 141 | 19 | 2 | |
Portage | 35 | 2 | 6 | 0 | 27 | 166 | 45 | 104 | 17 | 1 | |
Price | 9 | 0 | 3 | 0 | 6 | 73 | 16 | 53 | 4 | 1 | |
Richland | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 3 | 4 | 0 | |
Rusk | 16 | 1 | 7 | 1 | 7 | 36 | 13 | 19 | 4 | 1 | |
Sauk | 26 | 0 | 12 | 2 | 12 | 282 | 53 | 219 | 10 | 0 | |
Sawyer | 13 | 0 | 0 | 1 | 12 | 135 | 28 | 90 | 17 | 2 | |
Shawano | 42 | 0 | 21 | 1 | 20 | 308 | 88 | 199 | 21 | 0 | |
Taylor | 14 | 0 | 3 | 0 | 11 | 51 | 4 | 45 | 2 | 1 | |
Trempealeau | 18 | 0 | 3 | 1 | 14 | 82 | 25 | 53 | 4 | 0 | |
Vernon | 10 | 0 | 0 | 0 | 10 | 66 | 11 | 51 | 4 | 3 | |
Vilas | 8 | 0 | 1 | 1 | 6 | 120 | 24 | 93 | 3 | 0 | |
Walworth | 9 | 0 | 8 | 0 | 1 | 131 | 26 | 91 | 14 | 4 | |
Washburn | 31 | 0 | 4 | 0 | 27 | 86 | 28 | 49 | 9 | 0 | |
Waupaca | 65 | 0 | 18 | 0 | 47 | 346 | 62 | 264 | 20 | 0 | |
Waushara | 18 | 0 | 4 | 0 | 14 | 151 | 23 | 123 | 5 | 1 | |
Wood | 17 | 0 | 13 | 2 | 2 | 154 | 54 | 92 | 8 | 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.