New York Clearance Percentages for Major Crimes by County (2006)

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County Murder Rape Robbery Assault Burglary Larceny Vehicle
Theft
All
Albany
60% 39% 33% 40% 17% 18% 16% 25%
Allegany
50% 85% 67% 60% 28% 17% 19% 28%
Bronx
nr nr 29% 90% 0%(a) 4% 0%(a) 14%
Broome
83% 67% 57% 55% 23% 23% 25% 33%
Cattaraugus
nr 45% 44% 75% 22% 18% 39% 34%
Cayuga
nr 57% 44% 55% 20% 19% 35% 30%
Chautauqua
50% 24% 38% 53% 19% 20% 27% 32%
Chemung
50% 10% 20% 43% 12% 13% 16% 18%
Chenango
nr 50% 100% 63% 31% 35% 44% 44%
Clinton
150% 35% 17% 41% 19% 27% 21% 30%
Columbia
100% 21% 36% 46% 21% 23% 45% 30%
Cortland
nr 54% 100% 46% 17% 21% 62% 34%
Delaware
100% 63% 100% 68% 27% 28% 64% 44%
Dutchess
88% 31% 34% 60% 18% 19% 20% 32%
Erie
36% 38% 25% 52% 14% 22% 20% 28%
Essex
nr 67% 50% 77% 20% 19% 58% 40%
Franklin
0%(a) 17% 50% 64% 28% 16% 43% 34%
Fulton
nr 8% 0%(a) 4% 3% 3% 1% 4%
Genesee
100% 35% 75% 84% 28% 38% 35% 44%
Greene
100% 63% 80% 77% 25% 34% 42% 47%
Hamilton
nr 0%(a) nr 64% 18% 23% nr 29%
Herkimer
100% 24% 64% 49% 21% 15% 33% 26%
Jefferson
0%(a) 44% 10% 34% 19% 19% 14% 21%
Kings
nr nr 22% 100% nr 9% 0%(a) 22%
Lewis
nr 43% nr 80% 25% 35% 29% 40%
Livingston
100% 24% 25% 62% 13% 15% 41% 22%
Madison
nr 56% 80% 60% 29% 22% 43% 32%
Monroe
67% 76% 32% 83% 12% 25% 17% 40%
Montgomery
nr 40% 50% 31% 17% 24% 44% 27%
Nassau
10% 16% 16% 55% 17% 57% 49% 49%
New York
nr 100% 58% 77% 65% 22% 100% 37%
Niagara
80% 47% 32% 51% 14% 17% 19% 27%
Oneida
67% 25% 29% 69% 10% 26% 35% 39%
Onondaga
94% 36% 31% 75% 15% 26% 22% 40%
Ontario
200% 33% 53% 78% 19% 32% 25% 38%
Orange
25% 59% 61% 52% 24% 26% 26% 34%
Orleans
nr 71% 67% 87% 26% 30% 38% 48%
Oswego
200% 45% 45% 56% 18% 16% 24% 27%
Otsego
50% 58% 27% 36% 19% 19% 38% 27%
Putnam
0%(a) 33% 47% 71% 18% 13% 17% 26%
Queens
nr nr 17% 67% 50% 24% 33% 28%
Rensselaer
200% 26% 44% 39% 11% 10% 23% 21%
Richmond
nr 0%(a) 33% 53% nr 15% 0%(a) 33%
Rockland
67% 24% 25% 34% 9% 18% 12% 22%
Saratoga
50% 42% 42% 75% 25% 39% 54% 46%
Schenectady
128% 25% 25% 42% 8% 14% 57% 22%
Schoharie
100% 60% 0%(a) 41% 23% 17% 38% 27%
Schuyler
nr 50% 0%(a) 94% 24% 28% 88% 48%
Seneca
nr 25% 50% 74% 16% 17% 63% 25%
St Lawrence
150% 60% 71% 67% 25% 29% 58% 36%
Steuben
0%(a) 41% 57% 52% 29% 20% 29% 31%
Suffolk
34% 55% 31% 65% 11% 20% 20% 27%
Sullivan
150% 32% 49% 72% 18% 26% 29% 38%
Tioga
nr 71% 0%(a) 89% 23% 24% 27% 41%
Tompkins
100% 62% 36% 59% 17% 18% 22% 25%
Ulster
40% 48% 33% 55% 15% 17% 27% 27%
Warren
nr 43% 21% 53% 16% 14% 26% 26%
Washington
100% 47% nr 78% 28% 28% 45% 45%
Wayne
nr 50% 57% 55% 21% 16% 31% 29%
Westchester
50% 36% 22% 45% 14% 16% 9% 22%
Wyoming
100% 33% 0%(a) 20% 11% 12% 11% 15%
Yates
nr 25% 33% 67% 37% 20% 44% 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