Missouri Clearance Percentages for Major Crimes by County (2006)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Adair
100% nr 50% 63% 13% 13% 22% 31%
Andrew
100% nr nr 70% 19% 16% 45% 31%
Atchison
nr 100% 50% 67% 0%(a) 10% 50% 42%
Audrain
nr 125% 71% 92% 31% 50% 47% 65%
Barry
100% 27% 25% 58% 19% 19% 22% 27%
Barton
nr 71% 0%(a) 53% 23% 17% 80% 30%
Bates
nr 100% 0%(a) 78% 14% 12% 32% 30%
Benton
nr 0%(a) 0%(a) 80% 17% 7% 17% 33%
Bollinger
nr 50% nr 39% 23% 10% 50% 25%
Boone
100% 74% 43% 80% 21% 24% 36% 43%
Buchanan
nr 18% 28% 51% 7% 12% 9% 21%
Butler
100% 67% 38% 55% 10% 22% 19% 30%
Caldwell
nr nr 33% 78% 19% 19% 7% 40%
Callaway
100% 38% 27% 66% 11% 14% 29% 29%
Camden
100% 0%(a) 0%(a) 75% 14% 16% 19% 34%
Cape Girardeau
100% 64% 49% 62% 21% 24% 46% 35%
Carroll
nr 100% nr 33% 19% 3% 14% 13%
Carter
nr nr nr 71% 65% 30% 38% 51%
Cass
nr 35% 38% 77% 17% 20% 30% 39%
Cedar
nr 67% 80% 61% 31% 20% 8% 37%
Chariton
nr nr nr 91% 56% 33% 0%(a) 54%
Christian
200% 50% 100% 64% 16% 10% 15% 29%
Clark
nr 33% nr 68% 14% 7% 40% 25%
Clay
100% 24% 36% 81% 15% 23% 25% 39%
Clinton
nr 33% 0%(a) 81% 13% 15% 3% 37%
Cole
150% 24% 40% 60% 10% 19% 16% 33%
Cooper
100% 100% 75% 61% 30% 13% 28% 33%
Crawford
nr 33% 50% 60% 13% 20% 29% 30%
Dade
nr 100% 0%(a) 74% 20% 39% 50% 45%
Dallas
100% 60% 100% 81% 22% 23% 25% 43%
Daviess
0%(a) nr nr 100% 21% 48% 29% 54%
De Kalb
nr 43% nr 33% 13% 18% 8% 23%
Dent
nr nr nr 73% 19% 19% 21% 34%
Douglas
nr nr 75% 81% 35% 29% 36% 50%
Dunklin
100% 71% 67% 70% 20% 19% 28% 33%
Franklin
0%(a) 100% 50% 51% 16% 17% 21% 29%
Gasconade
nr 50% 100% 66% 34% 9% 33% 31%
Gentry
nr 100% nr 79% 11% 13% 36% 25%
Greene
116% 35% 25% 68% 18% 22% 20% 33%
Grundy
100% 100% 50% 82% 32% 33% 85% 49%
Harrison
nr 50% nr 89% 23% 23% 0%(a) 44%
Henry
0%(a) 0%(a) 25% 56% 15% 10% 23% 24%
Hickory
nr 100% nr 64% 23% 10% 27% 25%
Holt
nr nr 50% 79% 13% 17% 47% 28%
Howard
100% 100% nr 92% 9% 31% 13% 50%
Howell
100% 67% 43% 45% 29% 9% 26% 22%
Iron
nr nr 100% 76% 12% 16% 0%(b) 31%
Jackson
39% 33% 16% 55% 7% 14% 8% 23%
Jasper
20% 38% 38% 71% 14% 23% 26% 35%
Jefferson
100% 77% 50% 75% 18% 13% 25% 31%
Johnson
67% 25% 50% 69% 13% 15% 25% 29%
Knox
nr nr nr 33% 0%(b) 3% 0%(a) 4%
Laclede
nr 33% 20% 54% 15% 13% 37% 26%
Lafayette
nr 50% 50% 82% 25% 23% 15% 41%
Lawrence
100% 0%(a) 25% 48% 14% 16% 18% 23%
Lewis
nr 0%(a) nr 85% 29% 39% 25% 54%
Lincoln
200% 67% 100% 67% 41% 33% 52% 50%
Linn
nr 100% 0%(a) 77% 27% 24% 44% 51%
Livingston
100% 33% 100% 62% 10% 15% 18% 27%
Macon
nr 100% 0%(a) 67% 21% 22% 25% 39%
Madison
nr 67% nr 63% 11% 22% 31% 35%
Maries
nr nr nr 82% 28% 17% 17% 39%
Marion
nr 15% 47% 64% 25% 18% 6% 30%
McDonald
nr 75% 57% 62% 28% 24% 32% 35%
Mercer
nr nr nr 100% 26% 80% 50% 54%
Miller
nr 50% 100% 55% 17% 9% 38% 27%
Mississippi
100% 0%(a) 50% 67% 32% 29% 35% 44%
Moniteau
nr 20% 100% 35% 31% 8% 45% 22%
Monroe
nr 100% nr 60% 4% 8% 33% 21%
Montgomery
100% nr nr 81% 19% 13% 53% 33%
Morgan
nr nr nr 60% 11% 13% 23% 32%
New Madrid
100% 33% 100% 84% 13% 32% 35% 54%
Newton
100% 114% 22% 85% 25% 21% 54% 42%
Nodaway
nr 0%(a) nr 68% 10% 8% 26% 17%
Oregon
nr 100% 0%(a) 76% 93% 43% 150% 74%
Osage
nr 100% nr 80% 30% 11% 9% 42%
Ozark
nr 100% 100% 65% 24% 22% 33% 41%
Pemiscot
200% 60% 38% 67% 16% 27% 32% 39%
Perry
100% nr nr 83% 25% 15% 33% 35%
Pettis
nr 43% 40% 57% 12% 16% 27% 29%
Phelps
100% 60% 56% 51% 6% 12% 8% 21%
Pike
100% 100% nr 92% 45% 44% 50% 66%
Platte
nr 50% 23% 65% 21% 30% 19% 40%
Polk
nr 40% 40% 49% 17% 18% 62% 29%
Pulaski
100% 81% 67% 77% 13% 25% 33% 44%
Putnam
nr nr nr 100% 25% 0%(a) nr 18%
Ralls
nr nr 0%(a) 62% 16% 25% 67% 36%
Randolph
100% 100% 27% 65% 13% 10% 21% 31%
Ray
nr 80% 100% 78% 15% 20% 46% 49%
Reynolds
nr 67% nr 95% 36% 36% 20% 56%
Ripley
0%(a) 50% nr 76% 15% 15% 30% 34%
Saline
100% 100% 100% 79% 20% 25% 65% 46%
Schuyler
100% nr 100% 67% 40% 0%(a) 40% 40%
Scotland
nr nr nr 83% 0%(a) 33% 100% 34%
Scott
100% 73% 62% 63% 44% 25% 44% 47%
Shannon
nr nr nr 52% 28% 36% 35% 37%
Shelby
nr 100% nr 71% 39% 20% 0%(a) 42%
St Charles
300% 51% 52% 74% 23% 23% 34% 38%
St Clair
nr 67% nr 30% 6% 7% 0%(a) 15%
St Francois
nr 23% 69% 56% 17% 26% 12% 34%
St Louis
94% 54% 40% 76% 27% 30% 23% 41%
St Louis city
53% 61% 24% 60% 11% 9% 4% 21%
Ste Genevieve
100% 33% 50% 65% 19% 9% 33% 31%
Stoddard
100% 0%(a) nr 81% 29% 26% 23% 42%
Stone
0%(a) 73% 100% 63% 21% 20% 29% 37%
Sullivan
nr 0%(a) nr 39% 6% 0% 22% 15%
Taney
100% 23% 43% 55% 14% 24% 23% 33%
Texas
75% 75% 33% 78% 24% 28% 33% 44%
Vernon
nr 33% 50% 66% 27% 15% 24% 32%
Warren
100% 40% 40% 73% 20% 27% 44% 44%
Washington
100% 75% 0%(a) 85% 38% 35% 24% 57%
Wayne
nr nr nr 80% 10% 14% 7% 32%
Webster
nr 100% 0%(a) 89% 16% 24% 31% 44%
Worth
nr nr nr 0%(a) 0%(a) 0%(a) 50% 5%
Wright
nr 100% 100% 95% 42% 27% 50% 50%

 

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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