2010 United States Census Tract Community Type Classification and Neighborhood Social and Economic Environment Score for 2000 and 2010, from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network (ICPSR 38645)
Advancing the Understanding of Immigration, Crime, and Crime Reporting at the Local Level with a Synthetic Population, United States, 2019 (ICPSR 39318)
This study investigated the complex relationship between unauthorized immigration and crime at the local level. Through a mix of data fusion, synthetic population modeling, and detailed crime reporting from selected jurisdictions, the study sought to produce nuanced insights to challenge prevailing assumptions about immigration and crime, ultimately aiding in informed policy-making and resource allocation.
This study employed crime and crime reporting data from ten jurisdictions across the United States paired with synthetic data which estimated the unauthorized immigrant population. This research aimed to provide an in-depth analysis at the census tract level. Analyses focused on unauthorized immigration and its correlation with drug, property, and violent crime rates, while accounting for crime reporting in traditional and emerging immigrant destinations along with sites with low foreign populations.
Assessing the Link Between Foreclosure and Crime Rates: A Multi-level Analysis of Neighborhoods Across 29 Large United States Cities, 2007-2009 (ICPSR 34570)
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.
Census of Population and Housing, 1970 [California]: Summary Statistic File 4A: Population and Housing [Fourth Count] (ICPSR 6712)
Census of Population and Housing, 1970 [United States]: Summary Statistic File 4A -- Housing [Fourth Count] (ICPSR 8126)
Census of Population and Housing, 1970 [United States]: Summary Statistic File 4A -- Population [Fourth Count] (ICPSR 9014)
Census of Population and Housing 1980 [United States]: 1970-Pre 1980 Tract Relationships (ICPSR 7913)
Census of Population and Housing, 1980 [United States]: Person and Housing Unit Counts for Tracts and Minor Civil Divisions (ICPSR 7970)
Census of Population and Housing, 1980 [United States]: Summary Tape File 1B (ICPSR 7975)
Census of Population and Housing, 1980 [United States]: Summary Tape File 1C (ICPSR 8091)
Census of Population and Housing, 1980 [United States]: Summary Tape File 1D (ICPSR 8093)
Census of Population and Housing, 1980 [United States]: Summary Tape File 1H (ICPSR 8401)
Census of Population and Housing, 1980 [United States]: Summary Tape File 2A (ICPSR 8036)
Census of Population and Housing, 1990 [United States]: Summary Tape File 2A (ICPSR 9770)
Census of Population and Housing, 1990 [United States]: Tiger/Census Tract Comparability File (ICPSR 9810)
Census of Population and Housing, 1990 [United States]: Tiger/Census Tract Street index File (Version 1) (ICPSR 9787)
Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, 100-Percent Summary Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin (ICPSR 3020)
Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin (ICPSR 2913)
Census of Population and Housing, 2000 [United States]: Census Tract Relationship Files (CTRF) (ICPSR 13287)
Census Tract Data, 1940: Elizabeth Mullen Bogue File (ICPSR 2930)
Census Tract Data, 1950: Elizabeth Mullen Bogue File (ICPSR 2931)
Census Tract Data, 1960: Elizabeth Mullen Bogue File (ICPSR 2932)
Census Tract Data, 1970: Elizabeth Mullen Bogue File (ICPSR 2933)
Census Tract-Level Data, 1960 (ICPSR 7552)
Crime in Metropolitan America: Patterns and Trends Across the Southern California Landscape, 2005-2012 (ICPSR 36681)
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.
Geographic Base File/Dual Independent Map Encoding (GBF/DIME), 1980 (ICPSR 8378)
Geographies of Urban Crime in Nashville, Tennessee, Portland, Oregon, and Tucson, Arizona, 1998-2002 (ICPSR 4547)
Impact of Immigration on Ethnic-Specific Violence in Miami, Florida, 1997 (ICPSR 3872)
Innovative Methodologies for Assessing Radicalization Risk: Risk Terrain Modeling and Conjunctive Analysis, United States, 2001-2019 (ICPSR 38226)
This study examined the geospatial contexts of where terrorism incidents occur, where terrorists plan and prepare for their crimes, and where terrorists reside in the United States. The researchers examined data linked to terrorism-related incidents in the United States from the time of the 9/11 terror attacks in 2001 through 2019. Using these data, the researchers applied innovative analytical methodologies of Risk Terrain Modeling (RTM) and Conjunctive Analysis of Case Configurations (CACC) to evaluate their utility in assessing risk of terrorism.
Risk terrain modeling is a method for identifying situational, place-based risk factors most associated with locations where terrorist incidents are likely to be planned or occur. This method looks at specific aspects of the physical landscape, such as locations of buildings or parking lots. The place-based analysis approach to terrorism investigation represents a shift from the conventional research emphasis on targeting suspicious persons by their demographic or other traits. This approach investigates the importance of location in explanations of crime and terrorism.
According to the American Terrorism Study, during this time between 2001 (after 9/11 and 2019) there were 296 terrorism incidents and 617 pre-incident activities occurred where the state was known. In addition, there were 420 known residences tied to terrorism-related incidents in particular states.
National Neighborhood Crime Study (NNCS), 2000 (ICPSR 27501)
National Neighborhood Crime Study, Wave 2 (NNCS2), [United States], 1999-2013 (ICPSR 38483)
National Neighborhood Data Archive (NaNDA): Arts, Entertainment, and Leisure Establishments by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 209163)
This dataset contains measures of the count and density of arts, entertainment, and leisure establishments per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. Business establishment data were drawn from the National Establishment Time Series (NETS) database and geocoded to 2010 and 2020 Census tract and ZCTA boundaries. The dataset includes four files — Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020 — each containing one observation per geographic unit per year across ten establishment categories including museums, theaters, amusement parks, movie theaters, zoos and gardens, gambling facilities, bowling alleys, hotels, casino hotels, and an aggregate arts and entertainment total.
National Neighborhood Data Archive (NaNDA): Broadband Availability by Census Tract and ZIP Code Tabulation Area (ZCTA) United States, 2025 (ICPSR 302937)
This dataset contains measures of broadband internet availability and performance per United States census tract and ZIP Code Tabulation Area (ZCTA) in 2025. The data is derived from internet service providers' reports to the Federal Communications Commission's Broadband Data Collection (BDC) program. Key variables include the number of internet service providers offering service, the proportion of housing units and land area with access to broadband, download and upload speed categories, low-latency service availability, and technology types for broadband connections.
Broadband availability measures include the proportion of housing units and land area served by any provider, as well as the number of unique providers offering service. Speed measures are categorized into multiple tiers for both download speeds (ranging from less than 10 Mbps to 2000+ Mbps) and upload speeds (ranging from 1 Mbps or less to 100+ Mbps). The dataset also includes combined download/upload speed categories, distinguishing between unserved areas (less than 25/3 Mbps), underserved areas (at least 25/3 Mbps but less than 100/20 Mbps), and served areas (at least 100/20 Mbps). Technology type measures identify the proportion of housing units and land area served by different broadband technologies, including fiber to premises, coaxial cable, copper wire, fixed wireless, and satellite.
National Neighborhood Data Archive (NaNDA): Civic, Social, and Religious Organizations by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 207966)
This dataset contains measures of the number and density of select types of civic, social, and religious organizations per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022.
National Neighborhood Data Archive (NaNDA): Dollar Stores by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 209324)
This dataset contains measures of the number and density of dollar stores per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau).
National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208751)
This dataset provides annual measures of the number and density of eating and drinking places — including bars and night clubs, retail bakeries, coffee shops, fast food restaurants, delis, pizza restaurants, and sit-down restaurants — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.
National Neighborhood Data Archive (NaNDA): Healthcare Services by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 209050)
This dataset contains measures of the number and density of health care services per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau).
National Neighborhood Data Archive (NaNDA): Hospitals by Census Tract and ZIP Code Tabulation Area, United States, 2023 (ICPSR 39378)
This dataset contains measures of the number and density of hospitals per United States Census Tract or ZIP Code Tabulation Area (ZCTA) in 2023. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:
- Census Tract 2010
- Census Tract 2020
- ZIP Code Tabulation Area (ZCTA) 2010
- ZIP Code Tabulation Area (ZCTA) 2020
National Neighborhood Data Archive (NaNDA): Internet Access by Census Tract and ZIP Code Tabulation Area, United States, 2015-2019 (ICPSR 38559)
National Neighborhood Data Archive (NaNDA): Land Cover by Census Tract and ZIP Code Tabulation Area, United States, 1985-2023 (ICPSR 38598)
National Neighborhood Data Archive (NaNDA): Law Enforcement by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208684)
This dataset measures the number and density of law enforcement organizations—including police departments, fire departments, courts, correctional facilities, and legal counsel and prosecution offices—across United States census tracts and ZIP Code Tabulation Areas (ZCTAs) from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and geocoded to 2010 and 2020 TIGER/Line shapefiles from the US Census Bureau.
National Neighborhood Data Archive (NaNDA): Liquor, Tobacco, Cannabis, Vape, and Convenience Stores by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208907)
This dataset provides annual measures of the number and density of liquor, tobacco, cannabis, vape, and convenience stores per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.
National Neighborhood Data Archive (NaNDA): Parks and Proximity to Polluting Sites by Census Tract and ZIP Code Tabulation Area (ZCTA), United States, 2024 (ICPSR 305511)
This dataset measures the number and area of parks in each U.S. census tract and ZIP Code Tabulation Area (ZCTA), as well as the spatial proximity of parks to two types of EPA-designated polluting sites: Toxics Release Inventory (TRI) facilities and Superfund sites. Park measures are derived from the 2024 ParkServe database (Trust for Public Land); polluting site measures use 2023 TRI data and 2024 Superfund Site data, with proximity calculated within park boundaries and at 0.5-, 1-, and 2-mile buffers. Geographic boundaries are drawn from the U.S. Census Bureau's 2020 TIGER/Line shapefiles.
National Neighborhood Data Archive (NaNDA): Parks by Census Tract and ZIP Code Tabulation Area, United States, 2018 and 2022 (ICPSR 38586)
National Neighborhood Data Archive (NaNDA): Personal Care Services and Laundry by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208906)
This dataset provides annual measures of the number and density of personal care services and laundry establishments — including barber shops, beauty shops, coin-operated laundromats, and laundry and dry cleaning services — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.
National Neighborhood Data Archive (NaNDA): Polluting Sites by Census Tract and ZIP Code Tabulation Area, United States, 1987-2021 (ICPSR 38597)
National Neighborhood Data Archive (NaNDA): Post Offices and Banks by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 208366)
This dataset contains measures of the number and density of post offices and banks per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:
- Census Tract 2010
- Census Tract 2020
- ZIP Code Tabulation Area (ZCTA) 2010
- ZIP Code Tabulation Area (ZCTA) 2020
Information about which dataset to use can be found in the Usage Notes section of the documentation.
National Neighborhood Data Archive (NaNDA): Primary and Secondary Roads by Census Tract and ZIP Code Tabulation Area, United States, 2010 and 2020 (ICPSR 38585)
National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census Tract and ZIP Code Tabulation Area, United States, 2016-2018 and 2024 (ICPSR 38605)
National Neighborhood Data Archive (NaNDA): Recreational Establishments by Census Tract and ZCTA, United States, 1990-2022 (ICPSR 209164)
This dataset provides annual measures of the number and density of recreational services — including fitness centers, golf courses, skating rinks and pools, membership sports clubs, and specialized recreational establishments — per census tract and ZIP Code Tabulation Area (ZCTA) across the United States from 1990 through 2022. Data are derived from the National Establishment Time Series (NETS) database and are available for four geographies: Census Tract 2010, Census Tract 2020, ZCTA 2010, and ZCTA 2020.