Minnesota Clearance Percentages for Major Crimes by County (2007)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle Theft All
Aitkin 100% nr nr 82% 18% 34% 62% 43%
Anoka 100% nr 21% 76% 10% 23% 19% 30%
Becker 0%(a) nr 67% 69% 12% 21% 23% 30%
Beltrami nr nr 43% 49% 16% 29% 25% 33%
Benton nr nr 100% 80% 20% 28% 24% 48%
Big Stone nr nr 100% 17% 42% 16% 33% 25%
Blue Earth 100% nr 27% 58% 13% 30% 36% 35%
Brown nr nr 0%(a) 90% 24% 21% 36% 39%
Carlton nr nr 50% 58% 30% 36% 47% 43%
Carver 100% nr 40% 70% 23% 20% 27% 31%
Cass 100% nr 75% 71% 24% 38% 61% 50%
Chippewa 100% nr nr 95% 21% 24% 13% 40%
Chisago nr nr 50% 86% 17% 15% 20% 28%
Clay nr nr 57% 65% 12% 19% 30% 31%
Clearwater nr nr 0%(a) 53% 12% 24% 27% 32%
Cook nr nr nr 50% 14% 12% 69% 28%
Cottonwood 100% nr nr 96% 39% 28% 75% 52%
Crow Wing 100% nr 75% 78% 19% 31% 33% 43%
Dakota 100% nr 41% 77% 14% 28% 26% 34%
Dodge nr nr nr 89% 17% 26% 50% 52%
Douglas 100% nr 100% 93% 24% 51% 32% 56%
Faribault 100% nr nr 95% 26% 30% 33% 47%
Fillmore nr nr 0%(a) 46% 10% 19% 0%(a) 23%
Freeborn nr nr 100% 98% 35% 23% 32% 45%
Goodhue nr nr 33% 77% 13% 31% 38% 40%
Grant nr nr nr 58% 17% 11% 50% 27%
Hennepin 64% 25% 22% 55% 8% 21% 9% 27%
Houston nr nr nr 85% 30% 40% 55% 49%
Hubbard nr nr 0%(a) 86% 18% 28% 27% 42%
Isanti nr nr 0%(a) 67% 8% 11% 24% 22%
Itasca nr nr 0%(a) 87% 25% 51% 49% 58%
Jackson nr nr 100% 74% 27% 12% 67% 36%
Kanabec nr nr 50% 51% 16% 25% 15% 32%
Kandiyohi 100% nr 50% 86% 17% 26% 42% 39%
Kittson nr nr nr 50% 0%(a) 17% 33% 20%
Koochiching nr nr nr 12% 10% 5% 13% 9%
Lac qui Parle nr nr nr 30% 0%(a) 9% 40% 15%
Lake nr nr nr 68% 7% 15% 33% 30%
Lake Of The Woods nr nr nr 55% 11% 5% 20% 14%
Le Sueur nr nr 100% 90% 23% 22% 54% 40%
Lyon nr nr 60% 89% 18% 34% 26% 44%
Mahnomen nr nr 100% 42% 33% 46% 0%(a) 42%
Martin nr nr 50% 64% 19% 25% 61% 36%
McLeod nr nr 75% 90% 15% 27% 31% 42%
Meeker nr nr 75% 63% 15% 11% 15% 30%
Mille Lacs nr nr nr 87% 53% 53% 76% 66%
Morrison 100% nr 0%(a) 95% 35% 48% 69% 61%
Mower 100% nr 25% 81% 33% 39% 65% 52%
Nicollet nr nr 67% 82% 19% 19% 58% 34%
Nobles nr nr 0%(a) 90% 14% 31% 54% 41%
Olmsted 50% nr 52% 77% 14% 29% 19% 37%
Otter Tail nr nr 100% 89% 22% 31% 45% 46%
Pennington nr nr nr 84% 30% 27% 35% 44%
Pine nr nr 100% 37% 13% 7% 15% 21%
Pipestone nr nr nr 31% 0%(a) 17% 50% 23%
Polk 100% nr nr 64% 26% 28% 36% 39%
Pope nr nr 100% 100% 18% 12% 33% 31%
Ramsey 69% 16% 18% 39% 9% 21% 10% 22%
Redwood nr nr nr 85% 22% 19% 30% 40%
Renville nr nr nr 85% 21% 28% 36% 47%
Rice nr nr 27% 57% 6% 20% 27% 26%
Rock nr nr nr 100% 55% 62% 100% 73%
Roseau nr nr nr 89% 8% 12% 86% 31%
Scott 100% nr 33% 78% 10% 21% 23% 32%
Sherburne 100% nr 67% 88% 14% 24% 26% 33%
Sibley nr nr nr 100% 95% 58% 67% 75%
St Louis 100% nr 21% 65% 12% 23% 19% 30%
Stearns 0%(a) nr 32% 80% 11% 30% 23% 38%
Steele nr nr 71% 73% 13% 30% 11% 34%
Stevens 100% nr 100% 74% 50% 26% 73% 42%
Swift nr nr nr 89% 22% 24% 45% 44%
Todd nr nr nr 88% 13% 36% 55% 41%
Traverse nr nr nr 69% 40% 18% 100% 35%
Wabasha nr nr nr 86% 17% 27% 60% 38%
Wadena nr nr nr 84% 43% 35% 78% 53%
Waseca 100% nr 0%(a) 90% 33% 55% 64% 65%
Washington 100% nr 24% 79% 11% 20% 27% 30%
Watonwan nr nr nr 98% 31% 28% 70% 48%
Wilkin nr nr nr 78% 19% 26% 33% 36%
Winona nr nr 67% 79% 12% 36% 25% 44%
Wright 100% nr 50% 95% 20% 18% 12% 28%
Yellow Medicine nr nr 0%(a) 59% 24% 7% 22% 27%

 

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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

More Information on Source Data