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Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014

Version
v0
Resource Type
Dataset : administrative records data, aggregate data, census/enumeration data, event/transaction data, geographic information system (GIS) data, observational data
Creator
  • La Vigne, Nancy
Other Title
  • Archival Version (Subtitle)
Publication Date
2018-02-14
Publication Place
Ann Arbor, Michigan
Publisher
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • United States Department of Justice. Office of Justice Programs. National Institute of Justice
Language
English
Free Keywords
Schema: ICPSR
arrests; businesses; crime; demographic characteristics; labor force; neighborhoods; socioeconomic status
Description
  • Abstract

    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: What is the impact of gentrification and suburban diversification on crime within and across jurisdictional boundaries?; How does crime cluster along and around transportation networks and hubs in relation to other characteristics of the social and physical environment?; What is the distribution of criminal justice-supervised populations in relation to services they must access to fulfill their conditions of supervision?; What are the relationships among offenders, victims, and crimes across jurisdictional boundaries?; What is the increased predictive power of simulation models that employ cross-jurisdictional data?;
  • Abstract

    The purpose of this study was to determine whether collection and integration of data cross jurisdictional boundaries and agencies can inform decision making affecting public safety.
  • Methods

    This study includes a collection of crime incident data, arrest data, and supervised offender data. Sources of information came from the police departments of Washington, DC, Montgomery County, and Prince George County. In addition to the criminal justice data, the study includes a wide range of economic, land use, and transit data collected from the National Establishment Time Series (NETS), the 2012 American Community survey, the website Walkscore.com, and data from the DC Office of the Chief Technology Officer Geographic Information System Catalog for 2014. Researchers also collected transit data from the Washington Metropolitan Transit Authority (WMATA) for 2008 to 2013 and the WMATA bike census which took place in 2006-07, 2011, 2012, and 2013.
  • Methods

    The collection includes six SPSS datasets: BikeTheft_Data.sav contains 18 variables and 86 cases (bike thefts by DC metro stations); CrimeatMetro_data.sav contains 57 variables and 87 cases (crime near DC metro stations); CSOSA_data.sav contains 21 variables and 20,318 cases (individuals under community supervision in Maryland); GDT_data.sav contains 6 variables and 39,066 cases (location and time of gun shots in DC); Maryland_Offender_data.sav contains 18 variables and 3,374 cases (crime, demographics, and supervision of individuals convicted in Maryland); NETS_data.sav contains 86 variables and 4,976 cases (economic change at block group level in DC); The collection also includes an additional 87 zip files of GIS data on topics such as aggravated assault, amusement, bus stops, larceny, metro stops, robbery, and social services.
  • Methods

    Presence of Common Scales: None
  • Methods

    Response Rates: Not applicable
  • Abstract

    Datasets:

    • DS1: Dataset
Temporal Coverage
  • Time period: 2000--2014
  • 2000 / 2014
  • Collection date: 2006--2013
  • 2006 / 2013
  • Collection date: 2008--2014
  • 2008 / 2014
  • Collection date: 2008--2012
  • 2008 / 2012
  • Collection date: 2006--2013
  • 2006 / 2013
  • Collection date: 2000--2013
  • 2000 / 2013
  • Collection date: 2009--2012
  • 2009 / 2012
Geographic Coverage
  • District of Columbia
  • Maryland
  • United States
  • Virginia
Sampled Universe
Crime in the greater Washington, DC area. Smallest Geographic Unit: Census Block
Sampling
Data for this project was acquired from many other parties. No data collection occurred as part of this project.
Note
Funding insitution(s): United States Department of Justice. Office of Justice Programs. National Institute of Justice (2012-R2-CX-0001).
Availability
Delivery
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 36366 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR36366.v1

Update Metadata: 2018-02-15 | Issue Number: 2 | Registration Date: 2018-02-15

La Vigne, Nancy (2018): Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR36366