| County | Murder | Rape | Robbery | Assault | Burglary | Larceny | Vehicle Theft | All |
| Adams | nr | nr | nr | 100% | 27% | 16% | 67% | 35% |
| Ashland | nr | 50% | 50% | 85% | 25% | 30% | 79% | 40% |
| Barron | 0%(a) | 67% | 67% | 73% | 20% | 15% | 38% | 26% |
| Bayfield | nr | 100% | nr | 95% | 48% | 29% | 50% | 45% |
| Brown | 100% | 66% | 39% | 88% | 15% | 35% | 38% | 45% |
| Buffalo | nr | nr | nr | 67% | 14% | 24% | 38% | 24% |
| Burnett | nr | 50% | 100% | 83% | 3% | 15% | 57% | 29% |
| Calumet | nr | 0%(a) | 33% | 51% | 25% | 24% | 18% | 28% |
| Chippewa | nr | 112% | 100% | 92% | 25% | 31% | 55% | 38% |
| Clark | nr | 100% | 0%(a) | 50% | 1% | 11% | 39% | 23% |
| Columbia | nr | 70% | 100% | 83% | 15% | 27% | 47% | 36% |
| Crawford | 100% | 100% | nr | 19% | 13% | 35% | 83% | 35% |
| Dane | 100% | 37% | 27% | 68% | 11% | 23% | 20% | 29% |
| Dodge | 100% | 80% | 50% | 88% | 18% | 27% | 55% | 38% |
| Door | nr | 100% | nr | 97% | 30% | 24% | 60% | 38% |
| Douglas | 100% | 88% | 57% | 75% | 17% | 23% | 41% | 29% |
| Dunn | nr | 69% | 50% | 70% | 12% | 16% | 36% | 22% |
| Eau Claire | nr | 80% | 47% | 87% | 20% | 27% | 27% | 35% |
| Florence | nr | nr | nr | 23% | 8% | 14% | 67% | 15% |
| Fond du Lac | 100% | 30% | 53% | 68% | 17% | 21% | 26% | 29% |
| Forest | nr | 0%(a) | 100% | 86% | 21% | 47% | 83% | 56% |
| Grant | nr | 33% | nr | 83% | 21% | 16% | 31% | 30% |
| Green | 100% | 56% | 0%(a) | 68% | 13% | 12% | 32% | 21% |
| Green Lake | nr | 50% | nr | 88% | 36% | 19% | 44% | 32% |
| Iowa | 0%(a) | 75% | 100% | 90% | 27% | 14% | 13% | 32% |
| Iron | nr | nr | 100% | 79% | 14% | 23% | 41% | 40% |
| Jackson | nr | 67% | 50% | 79% | 18% | 22% | 52% | 35% |
| Jefferson | nr | 75% | 42% | 68% | 25% | 21% | 35% | 32% |
| Juneau | nr | 150% | 100% | 87% | 18% | 24% | 50% | 36% |
| Kenosha | 75% | 41% | 28% | 60% | 11% | 28% | 17% | 34% |
| Kewaunee | nr | 0%(a) | nr | 61% | 13% | 24% | 25% | 31% |
| La Crosse | nr | 77% | 41% | 91% | 21% | 40% | 44% | 49% |
| Lafayette | nr | 100% | nr | 83% | 44% | 13% | 71% | 26% |
| Langlade | nr | 100% | nr | 89% | 25% | 31% | 48% | 33% |
| Lincoln | nr | 75% | 50% | 85% | 50% | 19% | 30% | 39% |
| Manitowoc | 200% | 114% | 73% | 93% | 21% | 30% | 38% | 38% |
| Marathon | 75% | 83% | 64% | 88% | 18% | 34% | 44% | 45% |
| Marinette | nr | 20% | 67% | 64% | 12% | 21% | 30% | 25% |
| Marquette | nr | 100% | 100% | 87% | 40% | 34% | 24% | 44% |
| Menominee | nr | 33% | 100% | 56% | 21% | 17% | 33% | 43% |
| Milwaukee | 58% | 53% | 16% | 58% | 9% | 18% | 10% | 24% |
| Monroe | nr | 100% | 57% | 94% | 31% | 34% | 56% | 46% |
| Oconto | nr | 100% | 0%(a) | 41% | 14% | 13% | 10% | 17% |
| Oneida | nr | 30% | 0%(a) | 90% | 13% | 24% | 35% | 35% |
| Outagamie | 50% | 43% | 67% | 78% | 14% | 29% | 44% | 37% |
| Ozaukee | 100% | 0%(a) | 56% | 88% | 14% | 39% | 36% | 40% |
| Pepin | nr | 67% | nr | 70% | 29% | 7% | 40% | 33% |
| Pierce | nr | 40% | 0%(a) | 58% | 11% | 16% | 35% | 21% |
| Polk | 100% | 33% | 0%(a) | 96% | 12% | 18% | 17% | 35% |
| Portage | 250% | 120% | 100% | 88% | 27% | 36% | 52% | 43% |
| Price | nr | 100% | nr | 90% | 20% | 24% | 67% | 42% |
| Racine | 112% | 67% | 45% | 86% | 12% | 24% | 26% | 36% |
| Richland | nr | 50% | 50% | 83% | 7% | 24% | 33% | 35% |
| Rock | 75% | 37% | 33% | 78% | 11% | 22% | 25% | 32% |
| Rusk | nr | 0%(a) | nr | 78% | 20% | 29% | 57% | 36% |
| Sauk | 100% | 69% | 50% | 80% | 13% | 31% | 56% | 37% |
| Sawyer | nr | 0%(a) | 100% | 84% | 27% | 29% | 21% | 41% |
| Shawano | nr | 75% | 200% | 89% | 16% | 29% | 50% | 39% |
| Sheboygan | 100% | 61% | 77% | 84% | 16% | 30% | 46% | 34% |
| St Croix | 100% | 90% | 0%(a) | 78% | 15% | 23% | 31% | 30% |
| Taylor | nr | 128% | nr | 70% | 21% | 33% | 67% | 36% |
| Trempealeau | 100% | 80% | 0%(a) | 68% | 24% | 17% | 33% | 29% |
| Vernon | nr | 100% | nr | 81% | 32% | 14% | 25% | 33% |
| Vilas | nr | 67% | 50% | 88% | 36% | 46% | 73% | 57% |
| Walworth | nr | 46% | 50% | 77% | 20% | 19% | 47% | 26% |
| Washburn | nr | 75% | 50% | 97% | 12% | 37% | 89% | 44% |
| Washington | 200% | 33% | 44% | 89% | 21% | 30% | 47% | 36% |
| Waukesha | 100% | 67% | 39% | 79% | 13% | 28% | 25% | 31% |
| Waupaca | nr | 36% | 0%(a) | 44% | 9% | 26% | 18% | 25% |
| Waushara | nr | 0%(a) | 0%(a) | 66% | 19% | 6% | 19% | 14% |
| Winnebago | 100% | 100% | 40% | 80% | 19% | 24% | 40% | 37% |
| Wood | nr | 67% | 75% | 87% | 29% | 37% | 79% | 44% |
Notes:
a: 1 to 10 reported crimes
b: 11 to 20 reported crimes
c: 21 to 30 reported crimes
d: 31 to 40 reported crimes
nr: no crimes reported
The data set used for this presentation (see below) is consisent with but may differ in part from other data sets provided by the Uniform Crime Reporting Program and used for other presentations in this series.
Clearance Percentage: The percentage of known or reported crimes cleared by arrest. The percentage is determined by dividing the number of arrests for a specific offense by the number of offenses reported to police. Blank cells indicate that no offenses in this category were reported to police. A zero percentage (0%) indicates that none of the reported offenses were cleared by an arrest.
Reported Crimes: The number of known crimes reported to police. The number of these crimes cleared by arrest is represented by the Clearance Percentage, calculated by dividing the number of reported crimes by the number of crimes cleared by an arrest, and is provided in a separate table.
All: Refers to all of the seven major crimes in the table: murder, rape, robbery, assault, burglary, larceny, and vehicle thef (see below)t.
Description of Source Data: “The . . . dataset is a compilation of offenses reported to law enforcement agencies in the United States. Due to the vast number of categoriesof crime committed in the U.S., the FBI has limited the type of crimes includedin this compilationto those crimes which people are most likely to report to police and those crimeswhich occur frequentlyenough to be analyzed across time. Crimes included are criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. Much informationabout these crimes is provided in this dataset. The number oftimes an offense has been reported, the number of reported offenses that havebeen cleared byarrests . . . [are] major items of information collected.” Federal Bureau of Investigation, US Departmentof Justice.
Source: Uniform Crime Reporting Program Data – Offenses Known and Clearances by Arrest