Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014 (ICPSR 36366)

Version Date: Feb 14, 2018 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Nancy G. (Nancy Gladys) La Vigne, The Urban Institute

https://doi.org/10.3886/ICPSR36366.v1

Version V1

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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:

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

La Vigne, Nancy G. (Nancy Gladys). Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014. Inter-university Consortium for Political and Social Research [distributor], 2018-02-14. https://doi.org/10.3886/ICPSR36366.v1

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United States Department of Justice. Office of Justice Programs. National Institute of Justice (2012-R2-CX-0001)

Census Block

Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reason for the request, and obtain IRB approval or notice of exemption for their research.

Inter-university Consortium for Political and Social Research
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2000 -- 2014
2006 -- 2013 (BikeTheft_Data.sav), 2008 -- 2014 (CrimeatMetro_data.sav), 2008 -- 2012 (CSOSA_data.sav), 2006 -- 2013 (GDT_data.sav), 2000 -- 2013 (Maryland_Offender_data.sav), 2009 -- 2012 (NETS_data.sav)
  1. 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.

    • NETS refers to the National Establishment Time Series.
    • CSOSA refers to Court Services and Offender Supervision Agency.
  2. The NETS data file has been aggregated up and full replication of the analysis is not possible.

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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.

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.

Data for this project was acquired from many other parties. No data collection occurred as part of this project.

Cross-sectional

Crime in the greater Washington, DC area.

Individual, Metropolitan Statistical Area

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.

Not applicable

None

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2018-02-14

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:

  • La Vigne, Nancy G. (Nancy Gladys). Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014. ICPSR36366-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-02-14. http://doi.org/10.3886/ICPSR36366.v1

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Data in file "CSOSA" was weighted according to the variable "wt" which multiplies the weight of the entry from .44 to 2.03

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Notes

  • 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 public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.