Oklahoma Clearance Percentages for Major Crimes by County (2006)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Adair
nr 40% 0%(a) 37% 10% 6% 16% 17%
Alfalfa
nr 100% nr 68% 0%(b) 11% 50% 30%
Atoka
nr 80% 100% 27% 10% 10% 31% 17%
Beaver
nr nr 100% 65% 26% 10% 50% 29%
Beckham
nr 100% 100% 79% 18% 21% 23% 43%
Blaine
nr nr 0%(a) 33% 9% 8% 0%(a) 19%
Bryan
100% 4% 31% 46% 13% 14% 18% 23%
Caddo
nr 80% 33% 47% 21% 11% 25% 26%
Canadian
100% 43% 33% 43% 8% 15% 20% 23%
Carter
125% 44% 61% 57% 19% 20% 19% 32%
Cherokee
50% 10% 30% 21% 8% 7% 4% 12%
Choctaw
100% nr 33% 50% 10% 14% 6% 23%
Cimarron
nr nr nr 50% 17% 21% 50% 30%
Cleveland
140% 77% 58% 59% 14% 16% 24% 25%
Coal
100% nr nr 48% 11% 4% 11% 22%
Comanche
112% 35% 59% 42% 74% 65% 48% 60%
Cotton
100% 0%(a) nr 51% 23% 8% 33% 28%
Craig
100% 50% 100% 76% 8% 21% 7% 36%
Creek
100% 6% 8% 51% 13% 15% 19% 24%
Custer
100% 60% 50% 48% 23% 6% 44% 22%
Delaware
50% 25% 0%(a) 42% 11% 9% 14% 21%
Dewey
nr nr nr 50% 0%(a) 8% 33% 35%
Ellis
nr nr 0%(a) 13% 14% 10% 50% 17%
Garfield
0%(a) 15% 30% 13% 7% 8% 9% 10%
Garvin
100% 43% 40% 38% 14% 11% 24% 20%
Grady
100% 47% 50% 34% 8% 9% 25% 18%
Grant
nr nr nr 17% 33% 0%(c) 0%(a) 11%
Greer
nr nr nr 26% 0%(b) 5% 0%(a) 13%
Harmon
0%(a) 0%(a) nr 67% 0%(c) 15% 50% 26%
Harper
nr nr nr 100% 10% 0%(a) nr 15%
Haskell
100% 75% nr 63% 17% 10% 36% 37%
Hughes
nr 0%(a) 100% 51% 7% 12% 12% 21%
Jackson
nr 33% 53% 51% 7% 14% 23% 23%
Jefferson
nr 100% nr 68% 13% 5% 11% 28%
Johnston
nr 33% 100% 40% 28% 18% 50% 31%
Kay
nr 68% 26% 60% 14% 13% 23% 31%
Kingfisher
nr 0%(a) 100% 34% 15% 6% 0%(a) 16%
Kiowa
nr 75% 0%(a) 69% 15% 21% 63% 45%
Latimer
nr 0%(a) 100% 39% 7% 18% 20% 25%
Le Flore
0%(a) 22% 13% 26% 5% 4% 16% 12%
Lincoln
0%(a) 14% 0%(a) 34% 10% 4% 2% 14%
Logan
100% 22% 33% 44% 17% 9% 21% 22%
Love
100% 0%(a) 0%(a) 68% 20% 4% 37% 29%
Major
nr 100% nr 30% 7% 1% 0%(a) 12%
Marshall
nr 13% 0%(a) 45% 9% 12% 16% 23%
Mayes
100% 38% 75% 44% 20% 14% 22% 25%
McClain
80% 13% 29% 50% 7% 7% 38% 20%
McCurtain
100% 33% 25% 47% 19% 16% 19% 27%
McIntosh
nr 0%(a) 33% 34% 9% 14% 17% 18%
Murray
nr 43% 50% 68% 20% 14% 23% 30%
Muskogee
0%(a) 44% 29% 46% 9% 17% 2% 25%
Noble
nr 100% 0%(a) 66% 6% 2% 6% 20%
Nowata
100% 25% 100% 49% 9% 3% 0%(a) 17%
Okfuskee
nr 50% 0%(a) 37% 11% 11% 2% 18%
Oklahoma
71% 52% 32% 68% 11% 13% 17% 25%
Okmulgee
100% 27% 20% 42% 10% 12% 13% 21%
Osage
0%(a) 0%(a) 25% 23% 2% 2% 8% 10%
Ottawa
100% 18% 13% 29% 9% 10% 3% 14%
Pawnee
nr 44% nr 50% 14% 9% 15% 27%
Payne
100% 79% 35% 56% 17% 24% 28% 32%
Pittsburg
100% 100% 17% 36% 10% 9% 9% 15%
Pontotoc
100% 56% 45% 53% 14% 14% 26% 27%
Pottawatomie
100% 26% 14% 7% 6% 5% 6% 6%
Pushmataha
50% 0%(a) nr 52% 13% 12% 20% 28%
Roger Mills
nr nr nr 14% 22% 7% 0%(a) 11%
Rogers
100% 31% 20% 46% 11% 7% 9% 18%
Seminole
0%(a) 0%(a) 71% 50% 13% 10% 18% 21%
Sequoyah
nr 38% 40% 54% 22% 9% 27% 31%
Stephens
nr 53% 8% 42% 11% 4% 10% 16%
Texas
100% 100% 67% 68% 22% 50% 45% 51%
Tillman
nr nr 50% 65% 8% 8% 11% 28%
Tulsa
63% 29% 30% 42% 10% 17% 11% 22%
Wagoner
100% 13% 67% 52% 13% 9% 12% 26%
Washington
nr 47% 31% 35% 8% 11% 27% 21%
Washita
0%(a) 100% nr 58% 26% 17% 0%(a) 37%
Woods
nr 0%(a) 0%(a) 33% 30% 5% 25% 16%
Woodward
100% 29% 25% 54% 20% 17% 20% 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