DOI: 10.3886/icpsr36366.v1
title: Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014
title: Version 1

description: 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?;
description: 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.
description: 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.
description: 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.
description: Presence of Common Scales: 
					None
description: Response Rates: 
					Not applicable
description: Datasets: 
					
						DS1: Dataset
description: Crime in the greater Washington, DC area.
				   		Smallest Geographic Unit: Census Block
description: Data for this project was acquired from many other parties. No data collection occurred as part of this project.