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Curated
Restricted

Assessing the Link Between Foreclosure and Crime Rates: A Multi-level Analysis of Neighborhoods Across 29 Large United States Cities, 2007-2009 (ICPSR 34570)

Released/updated on: 2016-09-29
Geographic coverage: North Carolina, Oregon, Indiana, Oklahoma, Tennessee, Arkansas, Washington, Nebraska, Colorado, Missouri, Wisconsin, Arizona, Nevada, District of Columbia, Kentucky, Minnesota, California, Kansas, Florida, New York (state), Michigan, Pennsylvania, New Mexico, Illinois, Texas, Ohio, Georgia, Virginia, Maryland
Time period: 2007-01-01--2009-01-01

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 integrated neighborhood-level data on robbery and burglary gathered from local police agencies across the United States, foreclosure data from RealtyTrac (a real estate information company), and a wide variety of social, economic, and demographic control variables from multiple sources. Using census tracts to approximate neighborhoods, the study regressed 2009 neighborhood robbery and burglary rates on foreclosure rates measured for 2007-2008 (a period during which foreclosure spiked dramatically in the nation), while accounting for 2007 robbery and burglary rates and other control variables that captured differences in social, economic, and demographic context across American neighborhoods and cities for this period. The analysis was based on more than 7,200 census tracts in over 60 large cities spread across 29 states. Core research questions were addressed with a series of multivariate multilevel and single-level regression models that accounted for the skewed nature of neighborhood crime patterns and the well-documented spatial dependence of crime.

The study contains one data file with 8,198 cases and 99 variables.

Curated
Simple Crosstabs

Illegal Immigration, Immigration Enforcement Policies, and American Citizens' Victimization Risk, [United States], 2005-2015 (ICPSR 39329)

Released/updated on: 2026-01-28
Geographic coverage: United States
Time period: 2005-01-01--2015-01-01

This project was designed to examine two research questions:

  1. Does living in a county with a larger or growing share of undocumented immigrants increase personal non-fatal victimization risk?
  2. Does the presence of selected immigration policies within U.S. communities--the 2008 Secure Communities program, Section 287(g) of the 1996 Immigration and Nationality Act task force agreements and jail enforcement programs, or "sanctuary" anti-detainer policies--and the actual immigration enforcement applied impact personal non-fatal victimization risk?

These questions were addressed with a longitudinal multilevel dataset that integrated publicly accessible county-level data on legal and undocumented immigrant concentration, immigration policies, and immigration law enforcement actions to individual-level panel data on victimization from the restricted-use, area-identified, 2005-2015 National Crime Victimization Survey (NCVS). Contextual data on social, economic, and racial-ethnic indicators at the county- and tract-level were also used.

This collection includes analytic datasets drawn from publicly accessible secondary sources and syntax files containing code for variable construction. The restricted NCVS data will not be archived at ICPSR.

Curated

Temporal Variation in Rates of Police Notification by Victims of Rape, 1973-2000 [United States] (ICPSR 21220)

Released/updated on: 2008-09-16
Geographic coverage: United States
Time period: 1973-01-01--2000-01-01
The purpose of this study was to use data from the National Crime Survey (NCS) and the National Crime Victimization Survey (NCVS) to explore whether the likelihood of police notification by rape victims had increased between 1973-2000. To avoid the ambiguities that could arise in analyses across the two survey periods, the researchers analyzed the NCS (1973-1991) and NCVS data (1992-2000) separately. They focused on incidents that involved a female victim and one or more male offenders. The sample for 1973-1991 included 1,609 rapes and the corresponding sample for 1992-2000 contained 636 rapes. In their analyses, the researchers controlled for changes in forms of interviewing used in the NCS and NCVS. Logistic regression was used to estimate effects on the measures of police notification. The analyses incorporated the currently best available methods of accounting for design effects in the NCS and NCVS. Police notification served as the dependent variable in the study and was measured in two ways. First, the analysis included a polytomous dependent variable that contrasted victim reported incidents and third-party reported incidents, respectively, with nonreported incidents. Second, a binary dependent variable, police notified, also was included. The primary independent variables in the analysis were the year of occurrence of the incident reported by the victim and the relationship between the victim and the offender. The regression models estimated included several control variables, including measures of respondents' socioeconomic status, as well as other victim, offender, and incident characteristics that may be related both to the nature of rape and to the likelihood that victims notify the police.