North Carolina Clearance Percentages for Major Crimes by County (2006)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Alamance
83% 72% 46% 76% 21% 21% 31% 38%
Alexander
100% 67% 75% 91% 30% 26% 39% 45%
Alleghany
nr 100% nr nr 10% 53% 0%(a) 42%
Anson
80% 56% 24% 73% 13% 14% 14% 28%
Ashe
nr 120% 100% 87% 20% 30% 32% 39%
Avery
nr 0%(a) nr 46% 19% 19% 24% 21%
Beaufort
nr 47% 35% 59% 18% 14% 35% 31%
Bertie
nr 0%(a) 33% 56% 9% 13% 17% 16%
Bladen
63% 100% 38% 100% 26% 36% 22% 59%
Brunswick
75% 52% 29% 56% 18% 20% 34% 27%
Buncombe
75% 45% 29% 60% 16% 14% 37% 24%
Burke
0%(a) 100% 75% 75% 32% 27% 42% 40%
Cabarrus
89% 79% 32% 75% 22% 29% 19% 32%
Caldwell
133% 33% 24% 60% 11% 13% 21% 23%
Camden
0%(a) 50% 0%(a) 94% 29% 31% 40% 50%
Carteret
100% 76% 63% 89% 23% 29% 43% 45%
Caswell
nr 89% 50% 78% 21% 22% 18% 40%
Catawba
86% 48% 47% 53% 13% 23% 20% 27%
Chatham
100% 38% 44% 65% 14% 16% 25% 30%
Cherokee
100% 100% 100% 69% 15% 25% 20% 42%
Chowan
nr 100% 33% 88% 20% 40% 42% 49%
Clay
nr 50% 50% 83% 27% 15% 63% 37%
Cleveland
75% 34% 44% 55% 26% 21% 40% 27%
Columbus
300% 100% 56% 56% 15% 20% 23% 27%
Craven
nr 48% 29% 63% 23% 21% 30% 36%
Cumberland
85% 52% 32% 64% 15% 24% 18% 32%
Currituck
100% 67% 33% 89% 26% 27% 62% 55%
Dare
nr 47% 33% 78% 22% 16% 37% 32%
Davidson
100% 80% 46% 81% 20% 22% 21% 33%
Davie
100% 40% 44% 65% 19% 26% 35% 36%
Duplin
0%(a) 83% 16% 52% 15% 24% 22% 25%
Durham
106% 48% 32% 66% 18% 15% 13% 24%
Edgecombe
100% 17% 34% 80% 23% 28% 14% 37%
Forsyth
73% 63% 26% 77% 15% 25% 14% 41%
Franklin
nr 0%(a) 63% 61% 11% 19% 14% 17%
Gaston
150% 59% 42% 78% 17% 31% 23% 42%
Gates
nr 100% nr 83% 0%(a) 57% 67% 55%
Graham
0%(a) 0%(a) nr 69% 5% 3% 7% 19%
Granville
100% 46% 51% 54% 21% 24% 42% 34%
Greene
100% 56% 58% 64% 15% 15% 15% 23%
Guilford
53% 36% 21% 61% 12% 19% 15% 23%
Halifax
33% 67% 44% 71% 18% 21% 27% 27%
Harnett
100% 69% 43% 63% 20% 22% 31% 36%
Haywood
100% 42% 71% 71% 18% 19% 38% 33%
Henderson
80% 73% 51% 49% 24% 29% 37% 35%
Hertford
0%(a) 58% 38% 84% 26% 31% 33% 42%
Hoke
67% 50% 41% 54% 15% 14% 27% 22%
Iredell
175% 60% 61% 82% 53% 50% 46% 61%
Jackson
100% 55% 38% 74% 19% 21% 33% 37%
Johnston
83% 58% 50% 63% 16% 18% 21% 27%
Jones
100% 100% 0%(a) 32% 10% 3% 19% 13%
Lee
100% 75% 40% 73% 17% 23% 31% 29%
Lenoir
50% 39% 52% 51% 15% 16% 26% 28%
Lincoln
80% 50% 65% 42% 13% 14% 24% 21%
Macon
0%(a) 60% 100% 60% 25% 16% 27% 23%
Madison
nr 150% nr 59% 20% 32% 58% 37%
Martin
nr 20% 50% 49% 6% 15% 27% 22%
McDowell
150% 100% 77% 72% 22% 31% 43% 36%
Mecklenburg
68% 76% 26% 74% 9% 16% 12% 29%
Mitchell
nr nr 100% 33% 33% 10% 0%(a) 16%
Montgomery
nr 100% 25% 85% 16% 30% 34% 35%
Moore
78% 69% 47% 83% 31% 35% 42% 46%
Nash
88% 48% 27% 66% 16% 19% 19% 25%
New Hanover
71% 37% 22% 71% 18% 18% 15% 30%
Northampton
50% 100% 14% 74% 11% 19% 24% 29%
Onslow
63% 38% 36% 32% 17% 22% 26% 26%
Orange
100% 30% 35% 48% 16% 16% 22% 23%
Pasquotank
57% 18% 31% 78% 20% 21% 38% 32%
Pender
nr 75% 18% 55% 15% 9% 19% 20%
Perquimans
0%(a) 50% 33% 57% 8% 10% 38% 16%
Person
100% 80% 44% 75% 63% 55% 58% 63%
Pitt
64% 44% 43% 67% 34% 35% 34% 45%
Polk
100% 33% 50% 65% 22% 22% 69% 30%
Randolph
125% 29% 43% 58% 25% 21% 27% 28%
Richmond
50% 43% 42% 41% 19% 20% 29% 25%
Robeson
60% 63% 29% 47% 11% 17% 17% 21%
Rockingham
67% 40% 37% 49% 20% 23% 25% 28%
Rowan
80% 42% 35% 65% 18% 25% 24% 31%
Rutherford
67% 62% 53% 72% 25% 33% 46% 38%
Sampson
80% 46% 49% 57% 19% 21% 23% 31%
Scotland
100% 71% 24% 51% 14% 22% 29% 24%
Stanly
100% 54% 32% 69% 29% 25% 44% 35%
Stokes
200% 63% 83% 59% 19% 25% 26% 33%
Surry
0%(a) 82% 46% 46% 17% 17% 29% 28%
Swain
0%(a) 0%(a) 0%(a) 56% 6% 9% 16% 18%
Transylvania
nr 67% 100% 80% 21% 20% 34% 40%
Tyrrell
nr 67% 0%(a) 85% 50% 21% 40% 48%
Union
100% 69% 34% 46% 32% 25% 25% 32%
Vance
43% 58% 29% 31% 12% 12% 17% 16%
Wake
48% 59% 55% 77% 26% 29% 30% 42%
Warren
71% 17% 0%(a) 45% 4% 5% 10% 9%
Washington
nr 50% 0%(a) 78% 15% 25% 50% 37%
Watauga
nr 89% 120% 76% 29% 27% 53% 41%
Wayne
100% 63% 21% 46% 12% 17% 12% 21%
Wilkes
100% 83% 68% 90% 32% 37% 47% 46%
Wilson
67% 50% 50% 83% 22% 17% 16% 42%
Yadkin
nr 100% 73% 86% 26% 32% 51% 51%
Yancey
nr 0%(a) 100% 94% 35% 37% 86% 49%

 

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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