Tennessee Clearance Percentages for Major Crimes by County (2006)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Anderson
100% 4% 29% 44% 9% 15% 13% 22%
Bedford
100% 29% 17% 50% 10% 11% 29% 29%
Benton
nr 100% 0%(a) 76% 13% 25% 21% 37%
Bledsoe
nr nr nr 88% 7% 19% 14% 40%
Blount
100% 17% 42% 46% 11% 19% 19% 29%
Bradley
0%(a) 30% 29% 50% 12% 15% 23% 29%
Campbell
100% 13% 23% 38% 9% 17% 8% 24%
Cannon
100% nr 100% 81% 18% 23% 34% 44%
Carroll
nr 0%(a) 38% 76% 31% 31% 29% 45%
Carter
100% 40% 75% 62% 15% 24% 30% 35%
Cheatham
100% 7% 50% 55% 12% 16% 19% 33%
Chester
100% 100% 25% 50% 19% 19% 20% 32%
Claiborne
100% 71% 40% 39% 12% 12% 9% 21%
Clay
nr nr nr 86% 2% 18% 33% 34%
Cocke
50% 36% 38% 34% 6% 10% 6% 18%
Coffee
100% 25% 17% 43% 6% 14% 16% 25%
Crockett
nr 50% 50% 50% 14% 13% 41% 34%
Cumberland
100% 20% 33% 60% 9% 12% 22% 28%
De Kalb
100% 100% 50% 49% 13% 14% 21% 27%
Decatur
100% 100% 100% 61% 5% 12% 12% 24%
Dickson
33% 39% 43% 71% 15% 24% 52% 49%
Dyer
100% 0%(c) 39% 42% 17% 18% 29% 28%
Fayette
nr 14% 44% 44% 7% 11% 8% 24%
Fentress
100% 75% 100% 95% 16% 31% 29% 46%
Franklin
100% 0%(b) 33% 47% 10% 12% 13% 28%
Gibson
nr 60% 25% 38% 8% 17% 20% 25%
Giles
nr 57% 62% 62% 16% 26% 21% 40%
Grainger
nr 50% 100% 53% 11% 14% 26% 27%
Greene
67% 17% 18% 47% 7% 13% 14% 23%
Grundy
100% nr nr 54% 8% 7% 5% 33%
Hamblen
100% 53% 50% 66% 22% 31% 32% 43%
Hamilton
68% 18% 21% 52% 11% 13% 18% 25%
Hancock
nr nr 0%(a) 0%(b) 3% 7% 14% 6%
Hardeman
0%(a) 36% 31% 68% 18% 15% 14% 36%
Hardin
100% 50% 78% 44% 13% 22% 24% 29%
Hawkins
100% 22% 50% 40% 6% 14% 13% 24%
Haywood
50% 25% 33% 34% 8% 13% 9% 22%
Henderson
100% 47% 57% 58% 10% 21% 23% 32%
Henry
nr 21% 27% 54% 18% 14% 31% 29%
Hickman
100% 13% 43% 53% 7% 9% 11% 28%
Houston
100% nr nr 74% 15% 20% 29% 50%
Humphreys
100% 0%(a) nr 84% 14% 18% 25% 49%
Jackson
nr 0%(a) 0%(a) 68% 26% 29% 13% 36%
Jefferson
nr 25% 36% 59% 12% 19% 31% 30%
Johnson
100% nr 50% 74% 5% 20% 25% 44%
Knox
82% 49% 39% 57% 15% 23% 21% 32%
Lake
nr nr 100% 93% 28% 51% 86% 70%
Lauderdale
100% 15% 42% 36% 11% 15% 24% 24%
Lawrence
100% 67% 38% 45% 18% 18% 23% 32%
Lewis
nr 100% 100% 67% 3% 20% 44% 30%
Lincoln
75% 100% 36% 48% 14% 11% 28% 29%
Loudon
100% 33% 50% 39% 16% 10% 22% 21%
Macon
nr 80% 50% 69% 14% 14% 37% 40%
Madison
27% 44% 29% 78% 19% 24% 12% 44%
Marion
nr 0%(a) 17% 40% 14% 14% 30% 26%
Marshall
nr 0%(a) 45% 44% 11% 13% 17% 29%
Maury
80% 45% 46% 35% 18% 14% 30% 26%
McMinn
100% 43% 66% 29% 9% 14% 10% 19%
McNairy
100% 0%(a) 14% 48% 10% 9% 6% 24%
Meigs
nr 0%(a) 0%(a) 33% 8% 6% 14% 18%
Monroe
nr 73% 71% 32% 11% 12% 22% 20%
Montgomery
71% 30% 34% 47% 14% 18% 16% 31%
Moore
nr nr nr 66% 8% 21% 33% 34%
Morgan
nr 100% nr 71% 6% 15% 18% 27%
Obion
100% 40% 50% 61% 17% 24% 33% 36%
Overton
nr nr 33% 76% 10% 15% 19% 28%
Perry
nr nr 100% 83% 11% 27% 23% 40%
Pickett
nr nr nr 100% 11% 11% nr 31%
Polk
100% 50% nr 54% 9% 13% 21% 29%
Putnam
100% 23% 31% 41% 7% 16% 11% 23%
Rhea
100% 43% nr 60% 20% 23% 33% 40%
Roane
100% 56% 17% 43% 8% 9% 12% 20%
Robertson
75% 35% 15% 29% 13% 14% 20% 22%
Rutherford
29% 8% 12% 19% 5% 10% 8% 13%
Scott
100% 80% 100% 44% 16% 27% 30% 33%
Sequatchie
100% 50% 0%(a) 60% 5% 15% 6% 32%
Sevier
100% 30% 35% 75% 7% 20% 22% 35%
Shelby
67% 21% 15% 28% 6% 12% 6% 16%
Smith
nr 100% 100% 71% 11% 25% 36% 44%
Stewart
nr 40% 100% 64% 17% 18% 11% 40%
Sullivan
100% 45% 53% 52% 14% 22% 28% 33%
Sumner
100% 40% 43% 58% 21% 24% 29% 41%
Tipton
100% 23% 26% 39% 12% 12% 15% 26%
Trousdale
nr nr nr 77% 12% 27% 40% 52%
Unicoi
nr nr 0%(a) 59% 37% 20% 42% 37%
Union
nr nr 20% 66% 7% 8% 13% 25%
Van Buren
100% 100% nr 76% 0%(a) 8% 67% 38%
Warren
100% 36% 40% 74% 18% 18% 19% 40%
Washington
90% 93% 45% 71% 19% 29% 38% 43%
Wayne
100% 100% 100% 75% 10% 17% 41% 42%
Weakley
nr 33% 83% 49% 16% 19% 41% 33%
White
nr 50% 33% 44% 4% 10% 20% 21%
Williamson
33% 38% 19% 55% 13% 21% 31% 32%
Wilson
100% 34% 34% 44% 13% 19% 22% 30%

 

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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