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Crime Concentration Index×Victimization Survey Method×
FagområdeCriminologyCriminology
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19891973
OphavspersonLawrence Sherman, Patrick Gartin & Michael Buerger; David WeisburdU.S. President's Commission on Law Enforcement / NCVS and CSEW programs
TypeDescriptive concentration measure for crime across micro-placesProbability-sample survey measuring crime victimization including unreported offenses
Oprindelig kildeSherman, L. W., Gartin, P. R., & Buerger, M. E. (1989). Hot spots of predatory crime: Routine activities and the criminology of place. Criminology, 27(1), 27–56. DOI ↗Lynch, J. P., & Addington, L. A. (Eds.) (2007). Understanding Crime Statistics: Revisiting the Divergence of the NCVS and UCR. Cambridge University Press. ISBN: 9780521862042
AliasserCrime Concentration at Place, Hot-Spot Concentration Measure, Cumulative Crime Concentration, Law of Crime ConcentrationCrime Victimization Survey, Victimisation Survey Method, Crime Survey Methodology, Self-Report Victimization Survey
Relaterede43
ResuméThe crime concentration index quantifies how unevenly crime is distributed across micro-geographic places such as street segments or addresses. Building on Sherman, Gartin, and Buerger's 1989 discovery that a small fraction of addresses produces most calls for police service, and formalized in Weisburd's 2015 'law of crime concentration', it expresses the share of all crime accounted for by the most crime-prone places.The victimization survey method measures crime by asking a representative sample of households or individuals what they have actually experienced, rather than counting offenses recorded by police. Pioneered in the United States with the National Crime Victimization Survey (NCVS) and developed in Britain as the Crime Survey for England and Wales (CSEW), it captures the 'dark figure' of crime that never reaches the authorities, using a rotating-panel design with screening questions, detailed incident forms, bounding interviews, and weighted estimation.
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