Title
Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014 [electronic resource] Nancy G. (Nancy Gladys) La Vigne
Published
Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 2018
Physical Description
1 online resource
Local Notes
Individual login required to download datasets.
Access is available to the Yale community.
Notes
Title from ICPSR DDI metadata of 2019-06-13.
District of Columbia
Maryland
United States
Virginia
Crime in the greater Washington, DC area.
Access and use
Access restricted by licensing agreement.
AVAILABLE. This study is freely available to the general public.
Summary
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study includes data collected with the purpose of creating an integrated dataset that would allow researchers to address significant, policy-relevant gaps in the literature--those that are best answered with cross-jurisdictional data representing a wide array of economic and social factors. The research addressed five research questions: <list type="ordered"> <itm>What is the impact of gentrification and suburban diversification on crime within and across jurisdictional boundaries?</itm> <itm>How does crime cluster along and around transportation networks and hubs in relation to other characteristics of the social and physical environment?</itm> <itm>What is the distribution of criminal justice-supervised populations in relation to services they must access to fulfill their conditions of supervision?</itm> <itm>What are the relationships among offenders, victims, and crimes across jurisdictional boundaries?</itm> <itm>What is the increased predictive power of simulation models that employ cross-jurisdictional data?</itm> </list>Cf: http://doi.org/10.3886/ICPSR36366.v1
Other formats
Also available as downloadable files.
Format
Data Sets / Online
Added to Catalog
June 17, 2019
Also listed under
Inter-university Consortium for Political and Social Research.