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Curated

Crime in Boomburb Cities: 1970-2004 [United States] (ICPSR 29202)

Released/updated on: 2011-08-10

Geographic coverage: San Bernardino, United States, St. Petersburg, California, Florida, Miami, Santa Clara, San Diego, Atlanta, Orlando, Texas, Colorado, Phoenix, Denver, Georgia, Tampa, Dallas, Arizona, Las Vegas, Nevada, Houston, Riverside

Time period: 1970-01-01--2004-01-01

This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.

Curated

Simple Crosstabs

Crime in Metropolitan America: Patterns and Trends Across the Southern California Landscape, 2005-2012 (ICPSR 36681)

Released/updated on: 2025-12-16

Geographic coverage: United States, California

Time period: 2005-01-01--2012-01-01

This study collected and combined data from a large number of sources (e.g. crime data, land use data, parolee data, business and employment data, etc.) to study crime and crime trends across two counties in Southern California: Los Angeles and Orange counties. The crime data comes from a number of police agencies for the years 2005-12. Crime data is not available for all cities for all years. The variables from other sources are for the year 2010. All data is aggregated to the common geographic unit of census tracts. The data come from the following sources: 1) crime data from police agencies; 2) socio-demographic data from the American Community Survey (ACS) obtained from ICPSR; 3) business data from Mint data; 4) land use data from the Southern California Association of Governments; 5) voluntary organization data from the National Center for Charitable Statistics.

This wide array of information allows accounting for the multi-dimensional and inter-related sources of crime and crime trends in Southern California in neighborhoods (census tracts). Using these data, the project: 1) built a model to predict crime in small geographic areas; 2) assessed the effect of neighborhood organizations and institutions on crime rates; 3) determined the effect of the spatial distribution of poverty (at both small and large scales) on crime rates; 4) assessed how the clustering of social problems in a neighborhood affects neighborhood crime over time. This project built on prior work done by the Metropolitan Futures Initiative (MFI) team to locate various data sources in Southern California.