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

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Adams
nr nr nr 73% nr 0%(a) 0%(a) 36%
Barnes
100% nr 0%(a) 32% 24% 26% 0%(a) 27%
Bottineau
nr 0%(a) nr 29% 28% 2% 0%(a) 12%
Bowman
nr nr nr nr nr 0%(a) nr 0%(a)
Burke
nr nr nr 0%(a) 0%(b) 0%(b) 0%(a) 0%
Burleigh
100% 63% 56% 55% 20% 27% 41% 40%
Cass
50% 14% 27% 48% 9% 17% 13% 25%
Cavalier
nr nr nr 50% 0%(a) 41% 40% 38%
Dickey
nr nr nr 44% 0%(a) 6% nr 13%
Dunn
nr nr nr nr nr nr nr nr
Eddy
nr 0%(a) 0%(a) 0%(a) 0%(a) 11% 43% 13%
Emmons
nr nr nr 100% 67% 19% nr 40%
Foster
nr nr nr nr 100% 100% nr 100%
Grand Forks
100% 4% 53% 42% 7% 13% 17% 20%
Grant
nr nr nr 50% nr 20% nr 36%
Griggs
nr 0%(a) nr 86% 100% 50% nr 73%
Hettinger
nr nr nr 57% 0%(a) 0%(a) 0%(a) 27%
Kidder
nr 0%(a) nr 50% 0%(a) 0%(a) 0%(a) 19%
La Moure
nr nr nr 50% nr 0%(a) 0%(a) 8%
Logan
nr nr nr 0%(a) nr 33% 0%(a) 20%
McHenry
nr nr nr 33% 0%(b) 4% 0%(a) 10%
McKenzie
nr nr nr 41% 13% 0% 11% 15%
McLean
nr nr nr 34% 0%(b) 3% 11% 12%
Mercer
nr 0%(a) nr 68% 10% 15% 40% 35%
Morton
100% 64% 0%(a) 53% 12% 12% 36% 29%
Mountrail
nr nr nr 15% 0%(a) 4% 25% 9%
Nelson
nr nr nr 27% 0%(a) 12% 25% 17%
Oliver
nr nr nr nr nr 0%(a) nr 0%(a)
Pembina
nr nr nr 50% 31% 3% nr 29%
Pierce
nr nr nr 29% 33% 6% 0%(a) 13%
Ramsey
nr 100% 0%(a) 77% 25% 33% 43% 39%
Ransom
nr nr nr 45% 83% 60% 83% 64%
Renville
nr nr nr 0%(a) 0%(a) 9% 0%(a) 6%
Richland
nr 0%(a) 100% 63% 8% 15% 29% 29%
Rolette
nr 100% nr 47% 27% 32% 14% 36%
Sargent
nr 100% nr 78% 25% 0%(b) 50% 31%
Sheridan
nr nr nr 38% 20% 0%(c) 0%(a) 11%
Stark
nr 0%(a) 50% 44% 4% 9% 5% 15%
Stutsman
nr 38% 0%(a) 78% 13% 25% 15% 43%
Towner
nr nr nr 17% 0%(a) 0%(a) nr 5%
Traill
nr 33% nr 29% 5% 11% 9% 16%
Walsh
nr 33% nr 34% 4% 9% 30% 17%
Ward
nr 28% 30% 69% 24% 31% 24% 41%
Wells
nr nr nr 38% 21% 10% 0%(a) 20%
Williams
100% 43% 0%(a) 72% 29% 23% 27% 39%

 

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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