Missouri Clearance Percentages for Major Crimes by County (2007)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle Theft All
Adair nr nr 100% 20% 17% 11% 25% 15%
Andrew nr 50% 33% 82% 8% 20% 36% 27%
Atchison nr nr nr 84% 14% 50% 50% 59%
Audrain nr 67% 100% 98% 21% 47% 36% 64%
Barry 100% 44% 0%(a) 55% 22% 17% 29% 26%
Barton 100% 22% nr 59% 14% 15% 0%(a) 30%
Bates nr 33% 0%(a) 63% 18% 14% 19% 27%
Benton nr 33% nr 71% 12% 21% 33% 37%
Bollinger 50% 0%(a) nr 5% 6% 14% 50% 11%
Boone 100% 49% 37% 73% 17% 24% 26% 40%
Buchanan 100% 29% 30% 53% 7% 19% 10% 26%
Butler 100% 50% 50% 54% 10% 21% 25% 30%
Caldwell nr 33% nr 88% 28% 19% 24% 45%
Callaway 0%(a) 50% 33% 68% 15% 16% 28% 30%
Camden 100% 25% 67% 62% 6% 11% 10% 22%
Cape Girardeau 100% 44% 41% 40% 14% 18% 42% 23%
Carroll nr 0%(a) nr 90% 0%(b) 24% 33% 30%
Carter nr nr nr 50% 35% 34% 29% 38%
Cass 33% 35% 29% 73% 14% 22% 21% 39%
Cedar nr nr 100% 54% 27% 15% 0%(a) 32%
Chariton nr nr nr 64% 75% 6% 100% 39%
Christian 100% 57% 44% 65% 8% 15% 6% 35%
Clark nr 100% nr 86% 8% 14% 30% 31%
Clay 83% 54% 38% 82% 15% 22% 16% 40%
Clinton 100% 67% 0%(a) 79% 12% 17% 22% 41%
Cole 100% 30% 32% 75% 14% 23% 26% 42%
Cooper nr 0%(a) 33% 54% 14% 13% 35% 25%
Crawford nr 13% nr 56% 15% 14% 35% 28%
Dade nr 0%(a) nr 60% 35% 16% 60% 39%
Dallas 100% 50% 0%(a) 78% 12% 19% 33% 38%
Daviess nr 100% 0%(a) 94% 14% 17% 50% 40%
De Kalb nr 0%(a) nr 10% 10% 11% 13% 10%
Dent 100% 0%(a) 100% 73% 18% 13% 17% 28%
Douglas nr 25% 100% 76% 28% 30% 60% 49%
Dunklin nr 100% 18% 69% 21% 14% 34% 28%
Franklin 67% 25% 30% 51% 16% 21% 30% 30%
Gasconade nr 0%(a) nr 59% 21% 10% 20% 27%
Gentry nr 100% nr 81% 4% 22% 0%(a) 29%
Greene 83% 23% 23% 61% 19% 28% 18% 34%
Grundy nr 50% nr 94% 24% 34% 64% 53%
Harrison nr nr nr 88% 26% 26% 0%(a) 43%
Henry 100% 0%(a) nr 58% 11% 25% 46% 31%
Hickory nr 0%(a) nr 55% 2% 5% 27% 19%
Holt nr nr 100% 88% 6% 10% 18% 22%
Howard 100% nr nr 90% 18% 40% 67% 58%
Howell nr 20% 40% 45% 17% 10% 18% 19%
Iron nr nr nr 60% 22% 17% 44% 34%
Jackson 86% 35% 14% 44% 6% 13% 10% 20%
Jasper 100% 31% 39% 66% 11% 21% 22% 28%
Jefferson 67% 57% 75% 78% 14% 14% 20% 33%
Johnson nr 0%(a) 11% 75% 15% 18% 19% 32%
Knox nr 0%(a) nr 38% 4% 7% 0%(a) 9%
Laclede 100% 0%(a) 0%(a) 33% 5% 1% 4% 12%
Lafayette nr 75% 0%(a) 76% 18% 19% 32% 37%
Lawrence nr 14% 17% 47% 12% 14% 11% 21%
Lewis nr 100% nr 80% 28% 41% 36% 58%
Lincoln nr 71% 100% 73% 42% 36% 47% 52%
Linn nr 60% nr 81% 27% 20% 41% 46%
Livingston nr 0%(a) nr 64% 17% 21% 38% 36%
Macon nr 100% 67% 57% 17% 14% 38% 32%
Madison nr 0%(a) nr 56% 8% 12% 33% 22%
Maries nr nr 100% 43% 8% 26% 38% 27%
Marion nr 35% 71% 65% 38% 19% 17% 33%
McDonald 100% 60% 100% 64% 17% 29% 24% 38%
Mercer nr 100% nr 92% 25% 0%(a) 0%(a) 52%
Miller 100% 0%(a) 0%(a) 53% 22% 18% 11% 30%
Mississippi nr nr 33% 51% 19% 17% 18% 29%
Moniteau nr 33% 0%(a) 55% 13% 19% 29% 30%
Monroe nr 50% nr 49% 9% 11% 18% 21%
Montgomery nr nr nr 84% 15% 23% 100% 38%
Morgan nr 80% 0%(a) 57% 5% 14% 31% 31%
New Madrid 100% 100% 50% 68% 26% 38% 45% 49%
Newton 100% 73% 67% 87% 15% 22% 31% 43%
Nodaway 100% 0%(a) 100% 67% 6% 14% 22% 25%
Oregon nr 100% 0%(a) 83% 42% 44% 67% 59%
Osage nr nr nr 68% 4% 1% 0%(b) 15%
Ozark 100% 50% nr 74% 25% 14% 25% 33%
Pemiscot nr 75% 33% 78% 19% 18% 29% 37%
Perry 100% 100% 75% 71% 20% 24% 39% 36%
Pettis 100% 63% 28% 57% 13% 18% 23% 31%
Phelps nr 33% 44% 53% 11% 12% 9% 22%
Pike nr 0%(a) 0%(a) 93% 46% 36% 100% 60%
Platte 100% 86% 20% 67% 11% 25% 34% 39%
Polk 100% 25% 75% 47% 20% 25% 14% 32%
Pulaski 67% 35% 33% 57% 13% 24% 21% 35%
Putnam nr nr nr 100% 40% 0%(a) 0%(a) 31%
Ralls nr 100% nr 81% 31% 22% 59% 45%
Randolph nr 50% 33% 64% 15% 11% 19% 29%
Ray nr 50% 0%(a) 74% 13% 20% 26% 44%
Reynolds nr 100% nr 83% 21% 21% 57% 44%
Ripley nr 140% nr 86% 20% 14% 42% 39%
Saline nr 25% 20% 75% 14% 26% 25% 41%
Schuyler nr 100% nr 100% 11% 0%(a) nr 36%
Scotland nr nr nr 83% 7% 15% 67% 29%
Scott 100% 67% 55% 61% 26% 18% 35% 41%
Shannon 100% 33% nr 45% 32% 8% 21% 24%
Shelby nr 0%(a) nr 84% 19% 32% 64% 40%
St Charles 75% 36% 49% 75% 20% 23% 27% 38%
St Clair nr nr nr 27% 15% 7% 50% 16%
St Francois 100% 30% 67% 56% 14% 25% 20% 35%
St Louis 82% 61% 34% 72% 21% 30% 22% 38%
St Louis city 51% 76% 22% 62% 14% 11% 5% 24%
Ste Genevieve 100% 0%(a) 0%(a) 103% 15% 26% 35% 57%
Stoddard nr 40% nr 70% 24% 20% 38% 36%
Stone 100% 50% 0%(a) 67% 12% 26% 10% 43%
Sullivan nr 0%(a) nr 29% 20% 2% 13% 14%
Taney 50% 64% 30% 65% 19% 31% 28% 42%
Texas 0%(a) 33% 33% 75% 23% 22% 37% 36%
Vernon nr 63% 50% 74% 14% 20% 42% 38%
Warren nr 50% 67% 79% 22% 25% 51% 44%
Washington nr 200% 50% 78% 22% 13% 30% 36%
Wayne nr 0%(a) 0%(a) 79% 10% 21% 18% 38%
Webster nr nr nr 65% 31% 25% 27% 40%
Worth nr 0%(a) nr 0%(a) 0%(b) 0%(b) 25% 3%
Wright nr 60% 0%(a) 86% 31% 23% 18% 42%

 

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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