Exploratory Spatial Data Approach to Identify the Context of Unemployment-Crime Linkages in Virginia, 1995-2000

This research is an exploration of a spatial approach to identify the contexts of unemployment-crime relationships at the county level. Using Exploratory Spatial Data Analysis (ESDA) techniques, the study explored the relationship between unemployment and property crimes (burglary, larceny, motor ve...

Ausführliche Beschreibung

Gespeichert in:  
Bibliographische Detailangaben
1. VerfasserIn: Sridharan, Sanjeev (VerfasserIn)
Beteiligte: Meyer, Jon'a (MitwirkendeR)
Medienart: Elektronisch Forschungsdaten
Sprache:Englisch
Veröffentlicht: [Erscheinungsort nicht ermittelbar] [Verlag nicht ermittelbar] 2006
In:Jahr: 2006
Online-Zugang: Volltext (kostenfrei)
Verfügbarkeit prüfen: HBZ Gateway
Schlagwörter:
FIPS codes
Auto Theft
Burglary
Causes of crime
counties
Crime Mapping
Geographic information systems
Larceny
Robbery
Unemployment
unemployment rate
Forschungsdaten
Beschreibung
Zusammenfassung:This research is an exploration of a spatial approach to identify the contexts of unemployment-crime relationships at the county level. Using Exploratory Spatial Data Analysis (ESDA) techniques, the study explored the relationship between unemployment and property crimes (burglary, larceny, motor vehicle theft, and robbery) in Virginia from 1995 to 2000. Unemployment rates were obtained from the Department of Labor, while crime rates were obtained from the Federal Bureau of Investigation's Uniform Crime Reports. Demographic variables are included, and a resource deprivation scale was created by combining measures of logged median family income, percentage of families living below the poverty line, and percentage of African American residents.
DOI:10.3886/ICPSR04546.v1