Table 8
WISCONSIN
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 | Brown3 | 67 | 2 | 17 | 3 | 45 | 866 | 156 | 653 | 57 | 2 | |
| Calumet | 12 | 0 | 3 | 0 | 9 | 124 | 39 | 83 | 2 | 0 | ||
| Chippewa | 15 | 1 | 2 | 0 | 12 | 270 | 68 | 187 | 15 | 0 | ||
| Columbia | 30 | 1 | 8 | 0 | 21 | 213 | 43 | 164 | 6 | 1 | ||
| Dane | 57 | 0 | 15 | 11 | 31 | 747 | 155 | 539 | 53 | 1 | ||
| Douglas | 16 | 0 | 6 | 1 | 9 | 203 | 70 | 114 | 19 | 0 | ||
| Eau Claire | 13 | 3 | 3 | 0 | 7 | 212 | 81 | 116 | 15 | 0 | ||
| Fond du Lac | 25 | 0 | 10 | 1 | 14 | 200 | 48 | 135 | 17 | 0 | ||
| Green | 5 | 0 | 1 | 0 | 4 | 76 | 28 | 47 | 1 | 0 | ||
| Iowa | 13 | 0 | 0 | 0 | 13 | 67 | 14 | 46 | 7 | 0 | ||
| Kenosha | 52 | 0 | 6 | 3 | 43 | 427 | 86 | 320 | 21 | 2 | ||
| Kewaunee | 17 | 0 | 6 | 1 | 10 | 67 | 14 | 49 | 4 | 0 | ||
| La Crosse | 16 | 0 | 1 | 0 | 15 | 131 | 49 | 74 | 8 | 0 | ||
| Marathon | 20 | 1 | 5 | 1 | 13 | 331 | 73 | 252 | 6 | 0 | ||
| Milwaukee | 41 | 0 | 1 | 5 | 35 | 125 | 5 | 80 | 40 | 0 | ||
| Outagamie | 32 | 2 | 5 | 1 | 24 | 285 | 106 | 162 | 17 | 3 | ||
| Ozaukee | 12 | 0 | 4 | 0 | 8 | 111 | 18 | 88 | 5 | 0 | ||
| Pierce | 20 | 0 | 0 | 0 | 20 | 125 | 55 | 62 | 8 | 0 | ||
| Racine | 17 | 2 | 3 | 3 | 9 | 257 | 39 | 201 | 17 | 0 | ||
| Rock | 30 | 1 | 12 | 1 | 16 | 325 | 109 | 197 | 19 | 6 | ||
| Sheboygan | 29 | 0 | 7 | 1 | 21 | 310 | 32 | 259 | 19 | 2 | ||
| St. Croix | 18 | 0 | 2 | 2 | 14 | 297 | 111 | 169 | 17 | 1 | ||
| Washington | 3 | 0 | 2 | 1 | 0 | 327 | 103 | 206 | 18 | 1 | ||
| Waukesha | 71 | 0 | 1 | 4 | 66 | 451 | 82 | 352 | 17 | 2 | ||
| Winnebago | 21 | 0 | 1 | 1 | 19 | 242 | 65 | 163 | 14 | 0 | ||
| Nonmetropolitan Counties | Adams | 15 | 0 | 0 | 0 | 15 | 355 | 171 | 179 | 5 | 0 | |
| Ashland | 16 | 0 | 0 | 0 | 16 | 28 | 3 | 21 | 4 | 0 | ||
| Barron | 0 | 0 | 0 | 0 | 0 | 201 | 84 | 110 | 7 | 1 | ||
| Bayfield | 28 | 1 | 2 | 1 | 24 | 121 | 51 | 63 | 7 | 0 | ||
| Buffalo | 2 | 0 | 0 | 0 | 2 | 19 | 4 | 11 | 4 | 0 | ||
| Burnett | 33 | 1 | 3 | 0 | 29 | 298 | 90 | 187 | 21 | 2 | ||
| Clark | 18 | 0 | 0 | 0 | 18 | 86 | 19 | 59 | 8 | 0 | ||
| Crawford | 14 | 1 | 0 | 0 | 13 | 119 | 25 | 92 | 2 | 0 | ||
| Dodge | 26 | 1 | 5 | 2 | 18 | 177 | 68 | 100 | 9 | 0 | ||
| Door | 8 | 0 | 3 | 0 | 5 | 122 | 18 | 102 | 2 | 0 | ||
| Dunn | 35 | 1 | 4 | 1 | 29 | 138 | 38 | 89 | 11 | 1 | ||
| Florence | 5 | 0 | 0 | 0 | 5 | 100 | 27 | 72 | 1 | 0 | ||
| Forest | 26 | 0 | 5 | 0 | 21 | 104 | 32 | 67 | 5 | 1 | ||
| Grant | 32 | 0 | 5 | 0 | 27 | 147 | 46 | 91 | 10 | 1 | ||
| Green Lake | 1 | 0 | 1 | 0 | 0 | 70 | 23 | 45 | 2 | 1 | ||
| Iron | 1 | 1 | 0 | 0 | 0 | 83 | 17 | 60 | 6 | 4 | ||
| Jackson | 17 | 0 | 5 | 3 | 9 | 175 | 72 | 76 | 27 | 1 | ||
| Jefferson | 43 | 0 | 8 | 4 | 31 | 259 | 66 | 183 | 10 | 0 | ||
| Juneau | 46 | 0 | 7 | 0 | 39 | 240 | 107 | 120 | 13 | 1 | ||
| Lafayette | 6 | 0 | 5 | 0 | 1 | 94 | 40 | 52 | 2 | 0 | ||
| Langlade | 4 | 0 | 0 | 0 | 4 | 150 | 42 | 103 | 5 | 1 | ||
| Lincoln | 23 | 0 | 10 | 0 | 13 | 87 | 31 | 45 | 11 | 0 | ||
| Manitowoc | 27 | 0 | 4 | 0 | 23 | 164 | 53 | 102 | 9 | 0 | ||
| Marinette | 10 | 0 | 3 | 2 | 5 | 205 | 78 | 111 | 16 | 0 | ||
| Marquette | 6 | 0 | 2 | 1 | 3 | 86 | 31 | 53 | 2 | 0 | ||
| Menominee | 0 | 0 | 0 | 0 | 0 | 45 | 19 | 24 | 2 | 0 | ||
| Monroe | 16 | 0 | 3 | 0 | 13 | 148 | 51 | 87 | 10 | 1 | ||
| Oneida | 24 | 0 | 4 | 0 | 20 | 163 | 51 | 106 | 6 | 0 | ||
| Pepin | 3 | 0 | 1 | 0 | 2 | 38 | 15 | 20 | 3 | 1 | ||
| Polk | 99 | 0 | 7 | 0 | 92 | 233 | 53 | 161 | 19 | 1 | ||
| Portage | 15 | 0 | 4 | 1 | 10 | 135 | 41 | 87 | 7 | 1 | ||
| Price | 1 | 0 | 0 | 0 | 1 | 101 | 35 | 62 | 4 | 1 | ||
| Richland | 0 | 0 | 0 | 0 | 0 | 57 | 12 | 39 | 6 | 0 | ||
| Rusk | 23 | 1 | 2 | 0 | 20 | 71 | 30 | 38 | 3 | 1 | ||
| Sauk | 27 | 0 | 4 | 4 | 19 | 363 | 76 | 259 | 28 | 0 | ||
| Sawyer | 19 | 1 | 4 | 3 | 11 | 161 | 52 | 99 | 10 | 1 | ||
| Shawano | 26 | 1 | 8 | 4 | 13 | 344 | 110 | 213 | 21 | 1 | ||
| Taylor | 17 | 0 | 2 | 0 | 15 | 83 | 10 | 63 | 10 | 0 | ||
| Trempealeau | 9 | 0 | 6 | 0 | 3 | 99 | 28 | 65 | 6 | 1 | ||
| Vernon | 7 | 0 | 0 | 1 | 6 | 91 | 30 | 54 | 7 | 0 | ||
| Vilas | 8 | 0 | 2 | 0 | 6 | 202 | 58 | 136 | 8 | 1 | ||
| Walworth | 10 | 0 | 0 | 2 | 8 | 197 | 64 | 128 | 5 | 0 | ||
| Washburn | 17 | 0 | 4 | 1 | 12 | 178 | 60 | 108 | 10 | 1 | ||
| Waupaca | 82 | 1 | 8 | 1 | 72 | 436 | 117 | 300 | 19 | 3 | ||
| Waushara3 | 23 | 0 | 17 | 0 | 6 | 171 | 47 | 123 | 1 | 2 | ||
| Wood | 5 | 0 | 2 | 1 | 2 | 192 | 71 | 113 | 8 | 2 |
- 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.
