Identifiers

ID herop-fdevuz
Identifier + ['https://doi.org/10.3886/ICPSR38649.v1']

Descriptive

Title Crimes by County (NaNDA)
Alternative Title + ['NaNDA Crimes by County, United States, 2002-2014']
Description + ['This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year. Data were compiled from the Universal Crime Reporting Program Data Series at the National Archive of Criminal Justice Data (NACJD) Intra-university Consortium for Political and Social Research (ICPSR).']
Language + ['eng']
Display Note + []

SDOH Place Project

Spatial Resolution + ['County']
Highlight IDs + ['-050US72054', '-050US72113', '-050US72115', '-050US72141', '-050US72147', '-050US78010', '-050US78020', '-050US02158', '-050US60010', '-050US60020', '-050US69085', '-050US69100', '-050US69110', '-050US72023', '-050US72031', '-050US72037', '-050US72039', '-050US72053', '-050US02195', '-050US72097', '-050US72151', '-050US60050', '-050US78030', '-050US66010', '-050US72061', '-050US72035', '-050US72041', '-050US72011', '-050US72013', '-050US60030', '-050US60040', '-050US69120', '-050US72047', '-050US72045', '-050US72089', '-050US72093', '-050US72007', '-050US72005', '-050US72021', '-050US72025', '-050US72033', '-050US02068', '-050US02230', '-050US02275', '-050US72059', '-050US72017', '-050US72065', '-050US72019', '-050US72111', '-050US72127', '-050US72143', '-050US72099', '-050US72131', '-050US72133', '-050US72149', '-050US72101', '-050US72105', '-050US72135', '-050US72087', '-050US72153', '-050US72057', '-050US72079', '-050US72081', '-050US72103', '-050US72137', '-050US72121', '-050US72001', '-050US72051', '-050US72083', '-050US72069', '-050US72077', '-050US72015', '-050US72123', '-050US72003', '-050US72107', '-050US72125', '-050US72043', '-050US72029', '-050US72119', '-050US72027', '-050US72049', '-050US72095', '-050US72009', '-050US72067', '-050US72091', '-050US72139', '-050US72073', '-050US72063', '-050US72145', '-050US72055', '-050US72109', '-050US46102', '-050US72075', '-050US72071', '-050US72085', '-050US72117', '-050US02198', '-050US72129', '-050US02105']
Spatial Resolution Note None
Methods Variables + ['Murder', 'Rape', 'Robbery', 'Aggravated Assault', 'Burglary', 'Larceny', 'Motor Vehicle Theft', 'Arson', 'Multi-Jurisdiction Reporting Agencies', 'County', 'Years', 'Crime Longitudinally']
Data Variables + ['Total crimes excluding arson', 'Total crimes including arson', 'Total property crimes reported (burglary, larceny, and motor vehicle theft)', 'Total violent crimes reported (murder + rape + robbery + aggravated assault)', 'County population used to calculate county-level crime reports', 'First two digits of the FIPS county code (state)', 'Five-digit FIPS county code', 'ICPSR case ID number', 'ICPSR part number', 'Last three digits of the FIPS county code (county)', 'Number of agencies in the county reporting arrest data', 'Number of agencies in the county reporting offense data', 'Proportion of totals based on data provided by reporting agencies (not imputed)', 'Total aggravated assaults in the county this year', 'Total arsons in the county this year', 'Total auto thefts in the county this year', 'Total burglaries in the county this year', 'Total county population used to calculate arrests', 'Total larcenies in the county this year', 'Total murders in the county this year', 'Total rapes in the county this year', 'Total robberies in the county this year', 'Version of the ICPSR study from which the observation was obtained', 'Year that the offenses occurred']
Featured Variable(s) + []
Preferred Citation
show full (this value is very long) Clarke, Philippa, Melendez, Robert, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-02. https://doi.org/10.3886/E115006V1
Data Usage Notes
show full (this value is very long) Crime data should be interpreted carefully to avoid reinforcing biases or misrepresenting communities. Users should follow ethical guidelines when reporting findings. The dataset aggregates crime data from various sources, including the FBI’s Uniform Crime Reporting (UCR) program. Differences in local crime reporting practices and law enforcement policies may affect data consistency across counties.

Credits

Creator + ['Philippa Clarke', 'Robert Melendez', 'Megan Chenoweth']
Publisher + ['University of Michigan. Institute for Social Research']
Provider Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign

Categories

Resource Class + ['Datasets']
Resource Type + ['Table data']
Subject + ['Safety']
Theme + ['Society']
Keyword + Arson Assault Auto theft Burglary Crime FBI Larceny Murder Robbery Uniform Crime Reports Violent crime statistics

Temporal

Temporal Coverage + ['2002-2014']
Date Issued 2023-01-30
Index Year + [2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014]
Date Range + []

Spatial

Spatial Coverage + ['United States']
Geometry
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Bounding Box None
Centroid None
Georeferenced False

Relations

Relation + []
Member Of + []
Is Part Of + ['herop-zrurpe']
Source + []
Is Version Of + []
Replaces + []
Is Replaced By + []

Rights

Rights + []
Rights Holder + []
License + []
Access Rights Public
References {'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38649.v1', "'http://lccn.loc.gov/sh85035852'": 'https://www.openicpsr.org/openicpsr/project/115006/version/V1/view', "'http://schema.org/downloadUrl'": 'https://doi.org/10.3886/E115006'}
WxS Identifier None

Object

Format tsv
File Size 3.6 MB

Admin

Modified 2025-06-13T22:15:20Z
Metadata Version SDOH PlaceProject
Suppressed False