Idaho Clearance Percentages for Major Crimes by County (2007)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle Theft All
Ada 93% 28% 39% 55% 10% 21% 18% 31%
Adams 100% nr nr 57% 0%(a) 6% 0%(a) 22%
Bannock nr 48% 25% 62% 16% 18% 20% 36%
Bear Lake nr 0%(a) nr 55% 4% 10% 100% 26%
Benewah nr 0%(a) nr 81% 46% 39% 20% 64%
Bingham 100% 36% 0%(a) 63% 17% 19% 35% 39%
Blaine 67% 38% 0%(a) 52% 14% 13% 22% 26%
Boise nr 0%(a) 0%(a) 31% 11% 4% 11% 17%
Bonner 100% 43% 50% 48% 18% 16% 12% 30%
Bonneville 0%(a) 43% 18% 57% 13% 23% 28% 35%
Boundary nr 100% 100% 55% 53% 40% 17% 48%
Butte nr 0%(a) nr 29% 0%(a) 57% 25% 32%
Camas nr nr nr 75% 0%(a) 22% nr 50%
Canyon 100% 28% 23% 76% 14% 23% 12% 36%
Caribou nr 100% nr 88% 36% 25% 50% 49%
Cassia nr 40% 75% 67% 8% 15% 25% 32%
Clark nr nr nr 75% 0%(a) 0%(b) nr 17%
Clearwater nr 88% nr 40% 10% 5% 0%(a) 24%
Custer nr 100% nr 81% 75% 22% nr 67%
Elmore 0%(a) 25% 50% 52% 9% 7% 20% 27%
Franklin nr 75% nr 88% 29% 26% 50% 52%
Fremont nr nr nr 83% 30% 20% 50% 47%
Gem nr 75% nr 84% 36% 33% 50% 59%
Gooding 0%(a) 20% nr 71% 24% 14% 21% 45%
Idaho nr 33% 100% 88% 11% 17% 29% 52%
Jefferson nr 64% nr 54% 32% 19% 14% 37%
Jerome nr 67% 100% 70% 15% 26% 23% 36%
Kootenai 100% 45% 48% 69% 13% 21% 18% 37%
Latah 100% 29% 0%(a) 57% 18% 18% 20% 29%
Lemhi nr nr nr 92% 28% 19% 80% 58%
Lewis nr 100% 100% 86% 33% 38% 50% 60%
Lincoln nr 100% nr 80% 0%(a) 100% 0%(a) 70%
Madison nr 88% nr 80% 49% 30% 42% 44%
Minidoka nr 29% 0%(a) 52% 12% 18% 6% 30%
Nez Perce 100% 25% 67% 80% 11% 23% 16% 35%
Oneida nr 100% 100% 71% 83% 19% 0%(a) 45%
Owyhee nr 0%(a) 50% 48% 23% 16% 25% 27%
Payette nr 33% 100% 74% 19% 19% 28% 44%
Power nr nr nr 68% 13% 11% 33% 29%
Shoshone 75% 20% 0%(a) 53% 12% 10% 13% 31%
Teton nr nr nr 88% 63% 58% 50% 71%
Twin Falls 100% 54% 38% 54% 8% 25% 19% 32%
Valley nr 22% nr 45% 6% 9% 17% 23%
Washington nr 100% nr 95% 30% 48% 100% 65%

 

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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