This data collection contains the basic information about all counties in the coterminous United States needed for mapping county-based data. It provides an interface between ICPSR datasets and the mapping programs SAS/GRAPH, SURFACE II, and SYMAP. Cloropleth and isopleth maps can be produced by match-merging this dataset with any other dataset (special facilities exist for ICPSR datasets) and running the merged data against a cartographic program. Isopleth mapping programs, using the latitude and longitude coordinates provided for each county seat, can produce maps of ICPSR data. Cloropleth mapping of county-level data can be accomplished after merging by running the merged dataset through SAS/GRAPH. The variables provide state Federal Information Processing (FIPS) codes, county FIPS codes, county names/county seat names, the month, day, and year in which each county was created, the latitude and longitude of county seats, as well as the ICPSR state and county codes.

The County Longitudinal Template is a tool that enables researchers to allow for temporal changes in the geographic boundaries of counties in the United States. These data provide a decade-by-decade account of the administrative status of each county, starting in 1990 and tracing each census period back through 1840. The first four variables are the county name, ICPSR state code, FIPS code, and ICPSR county code. These four variables allow the researcher to select the counties for the state in question. The next 16 variables are ID variables for each census year, 1990 back to 1840. The last 13 variables are boundary change flags for each census year from 1960 to 1840.

This dataset was created to facilitate the conversion of Uniform Crime Reporting (UCR) Program state and county codes to Federal Information Processing Standards (FIPS) state and county codes. The four UCR agency-level data files archived at ICPSR in Uniform Crime Reporting Program Data: United States contain UCR state and county codes as geographic identifiers. Researchers who wish to use these data with other sources, such as Census data, may want to convert these UCR codes to FIPS codes in order to link the different data sources. This file was created to facilitate this linkage. It contains state abbreviations, UCR state and county codes, FIPS state and county codes, and county names for all counties present in the UCR data files since 1990. These same FIPS codes were used to create the UCR County-Level Detailed Arrest and Offense files from 1990-1996.

This study contains data retrieved from the CENSUS OF POPULATION AND HOUSING, 1970: FOURTH COUNT summary files on selected items that were not included in the COUNTY AND CITY DATA BOOK, 1972 (ICPSR 0061). Data on age, sex, ethnicity, place of birth, level of education, employment status, occupation, and family income are reported for the population of each county and county equivalent in the United States as well as the District of Columbia. County equivalents are parishes in Louisiana, census divisions in Alaska, and independent cities in Virginia and Missouri. Identification variables such as names of counties, Standard Metropolitan Statistical Areas codes, and both the Census Bureau and ICPSR state and county codes are also provided. The data were originally compiled from the 1970 Census summary tapes by John McAdams of Harvard University. ICPSR added identification codes and county names, reformatted some substantive variables, and corrected some SMSA code values. (Source: downloaded from ICPSR 7/13/10)

The U.S. Census Bureau TIGER/Line® files in this data collection were originally distributed by the Inter-university Consortium for Political and Social Research (ICPSR) through its TIGER/Line file web site, which was decommissioned in 2018 (archived version: https://web.archive.org/web/20090924181858/http://www.icpsr.umich.edu/TIGER/index.html). There, users could download various versions of the U.S. Census Bureau's TIGER (Topologically Integrated Geographic Encoding and Referencing) database. The TIGER/Line files do not include demographic data, but they do contain geographic information that can be linked to the Census Bureau’s demographic data. Due to file number limitations in openICPSR, the original data collections have been bundled into single zip packages. A single TIGER_directory.txt file listing the original files and the original directory structure is included with the root directory. Documentation files are also included as standalone subdirectories in each collection so users do not need to download entire zip bundles to view documentation. The TIGER/Line data are stored in compressed format in subdirectories by state name. There is one TIGER/Line file (in a compressed format) for each county or county equivalent. The file names consist of TGR + the 2-digit state FIPS (Federal Information Processing Standards) code + the 3-digit county FIPS code (i.e. TGR01031.ZIP for Coffee County, Alabama). Each state folder contains individual county files.The individual county files include one file for each record type included for that county with the following name convention: tgr01031.rt1. The convention follows the order described above with each file having a suffix which includes 'rt' (record type) followed by its designation (in this case record type 1). Each county file also contains its own metadata record.If present, documentation files for the TIGER/Line data are stored in a directory named '0docs' which is located in the 'Parent Directory'. This directory appears at the top of the index of state subdirectories for each edition of the TIGER/Line files. The documentation includes a complete list of FIPS state and county codes.

The Urban Household Sample of the 1860 United States Census was designed to supplement the Bateman-Foust rural sample with observations from urban areas. The sample covers both northern and southern towns and cities and permits examination of female occupations and labor force participation rates. Information on individuals includes occupation, city of residence, age, sex, race, dollar value of real and personal property owned, whether American or foreign born, and literacy. The second release of this collection adds nine constructed variables, including several weight variables, collapsed occupation, ICPSR state code, region, and unique internal family and household identifier numbers.

This data collection contains financial data on state government revenues and expenditures for 16 states during 1933-1937. There are separate files for different levels of aggregation: (1) revenue and expenditure aggregates (1-digit codes), (2) revenues and expenditures classified by major 20th-century categories (2-digit codes), (3) revenues and expenditures classified by minor categories that correspond to special features of 19th- and/or 20th-century governments (3-digit codes), and (4) revenues and expenditures classified by idiosyncratic categories which differ from state to state (4-digit categories). Parts 1 through 4 contain expenditure data. Parts 5 through 8 comprise revenue data. Part 9 contains codes for the categories of expenditures and revenues.

These datasets contain measures of socioeconomic and demographic characteristics by U.S. census tract for the years 1990-2022 and ZIP code tabulation area (ZCTA) for the years 2008-2022. Example measures include population density; population distribution by race, ethnicity, age, and income; income inequality by race and ethnicity; and proportion of population living below the poverty level, receiving public assistance, and female-headed or single parent families with kids. The datasets also contain a set of theoretically derived measures capturing neighborhood socioeconomic disadvantage and affluence, as well as a neighborhood index of Hispanic, foreign born, and limited English.

The Geographic Names Information System (GNIS) was developed by the United States Geological Survey (USGS) to meet major national needs regarding geographic names and their standardization and dissemination. This dataset consists of standard report files written from the National Geographic Names Data Base, one of five data bases maintained in the GNIS. A standard format data file for each of the fifty States, the District of Columbia and the four Insular Territories of the United States is included, as well as a file that provides a Cross-Reference to USGS 7.5 x 7.5 minute quadrangle maps. The records in the data files are organized in an alphabetized listing of all of the names in a particular state or territory. The other variables available in the dataset include: Federal Information Processing Standard (FIPS) state/county codes, Geographic Coordinates-- latitude and longitude to degrees, minutes, and seconds followed by a single digit alpha directional character, and a GNIS Map Code that can be used with the Cross-Reference file to provide the name of the 7.5 x 7.5 minute quadrangle map that contains that geographic feature.

During the COVID-19 pandemic, certain occupations and industries were deemed "essential", and typically included individuals who worked in healthcare, food service, public transportation, etc. However, early on in the pandemic, while these workers faced disproportionately higher risks, they often did not receive adequate personal protective equipment (PPE), were unable to work from home, and were limited in their ability to take other precautions to safeguard their health (Chen et al., 2021). As a result, previous studies have documented higher rates of infection, hospitalization, and death among essential workers compared to their non-essential worker counterparts (Selden & Berdahl, 2021; Wei et al., 2022). This dataset provides users with information on the number and proportion of essential workers in census tracts or ZIP Code tabulation areas (ZCTAs) in the United States over the 2016-2020 period.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study was a secondary analysis of Survey of Youth in Residential Placement (SYRP) 2003 United States. This study examined which observed disparities in placement and incarceration experiences relate to disparities in other aspects of a justice-involved youth's life. Distributed here are the codes used to create the datasets and preform the secondary analysis.

This study includes the number of public transit stops per United States census tract or ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM). Each observation represents the count and density (per capita and square mile) of transit stops within a census tract or ZIP code tabulation area (ZCTA), as voluntarily reported to NTM between 2016-2018 and 2024 by one of 270 regional transit agencies choosing to participate.

Abstract (en): This data collection contains FIPS codes for state, county, county subdivision, and place, along with the 1990 Census tract number for each side of the street for the urban cores of 550 counties in the United States. Street names, including prefix and/or suffix direction (north, southeast, etc.) and street type (avenue, lane, etc.) are provided, as well as the address range for that portion of the street located within a particular Census tract and the corresponding Census tract number. The FIPS county subdivision and place codes can be used to determine the correct Census tract number when streets with identical names and ranges exist in different parts of the same county. Contiguous block segments that have consecutive address ranges along a street and that have the same geographic codes (state, county, Census tract, county subdivision, and place) have been collapsed together and are represented by a single record with a single address range. 2006-01-12 All files were removed from dataset 551 and flagged as study-level files, so that they will accompany all downloads. (1) Due to the number of files in this collection, parts have been eliminated here. For a complete list of individual part names designated by state and county, consult the ICPSR Website. (2) There are two types of records in this collection, distinguished by the first character of each record. A "0" indicates a street name/address range record that can be used to find the Census tract number and other geographic codes from a street name and address number. A "2" indicates a geographic code/name record that can be used to find the name of the state, county, county subdivision, and/or place from the FIPS code. The "0" records contain 18 variables and the "2" records contain 10 variables.

Abstract (en): This data collection contains data on the number of teachers, students, and other staff of local education agencies (LEA) for each of the 50 states, the District of Columbia, and outlying territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands). The records also contain school district identifiers such as state code, standard metropolitan statistical area (SMSA) code, address, and metro status code. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All public elementary and secondary education agencies in the 50 states, District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside of the United States. The codebook and data collection instrument are provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

This dataset contains measures of the urban/rural characteristics of each census tract in the United States. These include proportions of urban and rural population, population density, rural/urban commuting area (RUCA) codes, and RUCA-based four- and seven-category urbanicity scales.

Researchers have long been able to analyze crime and law enforcement data at the individual agency level (see UNIFORM CRIME REPORTING PROGRAM DATA: [UNITED STATES] [ICPSR 9028]) and at the county level (see, for example, UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1997 [ICPSR 2764]). However, analyzing crime data at the intermediate level, the city or place, has been difficult. To facilitate the creation and analysis of place-level data, the Bureau of Justice Statistics (BJS) and the National Archive of Criminal Justice Data (NACJD) created the Law Enforcement Agency Identifiers Crosswalk. The crosswalk file was designed to provide geographic and other identification information for each record included in either the Federal Bureau of Investigation's Uniform Crime Reports (UCR) files or BJS's Directory of Law Enforcement Agencies. The main variables for each record are the UCR originating agency identifier number, agency name, mailing address, Census Bureau's government identification number, UCR state and county codes, and Federal Information Processing Standards (FIPS) state, county, and place codes. These variables make it possible for researchers to take police agency-level data, combine them with Bureau of the Census and BJS data, and perform place-level, jurisdiction-level, and government-level analyses.

Abstract (en): This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Datasets:DS0: Study-Level FilesDS1: Summary RecordsDS2: Family RecordsDS3: Child RecordsDS4: Setting RecordsDS5: Pooling FactorDS6: Adjusted Child Records File (Online Analysis Only)DS7: Unadjusted Child Records File (Online Analysis Only)DS8: Adjusted Family Records File (Online Analysis Only)DS9: Unadjusted Family Records File (Online Analysis Only) Children and families receiving assistance through the Child Care and Development Fund (CCDF), through their state, territory, or tribe. This sample dataset consists of monthly data provided by states that reported sample data and states that reported full population data, as well as any territory data received. Sampling of the data from states reporting full population data was done in accordance with Technical Bulletin #5, Appendix II: Annual Sampling Plan, Example A The month with the lowest caseload was selected for determining the sampling rate so that at least 200 samples were selected for each month. Additional information on the development of this sample dataset is provided in the accompanying technical documentation.

These datasets contain measures of internet access per United States census tract and ZIP code tabulation area (ZCTA) from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per tract or ZCTA with any type of internet subscription, with broadband internet, and with a computer or smartphone.

The State Legislative District Summary File Supplement contains geographic identification codes that relate each 2000 Census block to pre-2010 Census state legislative districts. Both upper and lower chamber districts are identified. In addition, these block-level data contain variables on land area, water area, latitude, longitude, total population size, and number of housing units, as well as geographic identification variables for other levels of observation such as states, metropolitan statistical areas, urban areas, congressional districts, counties, county subdivisions, places, census tracts, block groups, and ZIP code tabulation areas. There is one data file for each state, the District of Columbia, and Puerto Rico which are bundled together in a single ZIP archive. A second ZIP archive contains the codebook and other documentation.

The CFFR covers federal expenditures or obligations for the following categories: grants, salaries and wages, procurement contracts, direct payments for individuals, other direct payments, direct loans, guaranteed or insured loans, and insurance. Information available in the CFFR data file includes the government identification code, program identification code, object/assistance type code, amount in whole dollars, and FIPS code. For each unique government unit code all programs are listed, and for each program all records with different object categories are listed. The Geographic Reference File contains the names and governmental unit codes for all state, county, and subcounty areas in the country. In addition, the file contains associated geographic codes (FIPS, GSA, MSA, and Census Bureau place codes), the 1986 population, and the congressional districts serving each government unit. The Program Identification File contains program identification codes and their respective program titles. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09364.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.