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Showing 1 – 25 of 25 results.
Curated
Simple Crosstabs

American Housing Survey (AHS): Arts and Cultural Events Module Data, [United States], 2015 (ICPSR 37236)

Released/updated on: 2019-03-05
Geographic coverage: United States

The American Housing Survey (AHS) is a longitudinal survey sponsored by United States Department of Housing and Urban Development (HUD) and conducted by the U.S. Census Bureau (Census). It was first conducted annually between 1973 and 1981 and then biennially from 1983 onward. The purpose of the survey is to provide current and continuous series of data on selected housing and demographic characteristics. The AHS collects data on occupied and vacant housing units and the survey is conducted biennially between May and September of odd-numbered years. HUD and Census make the survey data available for public use.

To better understand the impact of arts and culture on the United States housing choice, the National Endowment of the Art's Office of Research and Analysis (ORA) worked with HUD and the Census to ask a series of questions in the 2015 AHS. The questions, which form the Arts and Cultural Events Module as a supplement to the core data, were designed to better understand the role of arts and culture in United States households' neighborhood choice, their satisfaction with the arts and cultural activities available in their neighborhood and their perception of the impact of arts and culture on neighborhood economic and community development. For additional information related to the core AHS data, please see ICPSR 36753, American Housing Survey (AHS) - Table Creator.

Arts-related variables in the dataset include the importance of living near arts and cultural events, the impact arts and cultural events had on the neighborhood and economy, opportunities for greater interactions, and the encouragement of other people or cultures.

Curated

Big Data for Population Research (ICPSR 35978)

Released/updated on: 2015-06-17
Geographic coverage: United States
This project expands the Integrated Public Use Microdata Series (IPUMS) by adding demographic and geographic data describing the entire enumerated population of the U.S. from 1790-1930. The project provides data on the characteristics of over 600 million persons, quadrupling the quantity of U.S. census microdata available for scientific research. The data cover entire populations with full geographic detail, providing contextual information on neighborhood characteristics, including ethnic composition, demographic behavior, and population mobility.
Curated

Characteristics of Asian States, 1956-1968 (ICPSR 5017)

Released/updated on: 2009-09-17
Geographic coverage: Myanmar, Afghanistan, Cambodia, United States, Sri Lanka, Japan, Philippines, China (Peoples Republic), Malaysia, Thailand, Global, India, New Zealand, South Korea, Great Britain, Pakistan, Asia, Taiwan, Australia, France, Laos, Soviet Union, Indonesia, Vietnam (Socialist Republic)
Time period: 1956-01-01--1968-01-01
This data collection consists of information on the physical, geographical, and demographic characteristics of 17 Asian states in the period 1956-1968. Data are provided for the geographical area of the states, the percentage of the states' populations that were Chinese, and the air distance between the Asian states' capitals and the United States, Communist China, Soviet Union, France, and Great Britain.
Curated

Contiguous County File, 1991: [United States] (ICPSR 9835)

Released/updated on: 1992-10-31
Geographic coverage: United States
This file provides information on the locational relationship between counties (and statistically equivalent entities) in the United States. For purposes of this study, contiguous counties included those that were physically adjacent, those that were not physically adjacent but were connected by a major road, and those that were not physically adjacent but had significant economic ties. The file includes FIPS state and county codes, county names, and the type of relationship between contiguous counties.
Curated

County Characteristics, 2000-2007 [United States] (ICPSR 20660)

Released/updated on: 2008-01-24
Geographic coverage: United States
Time period: 2000-01-01--2007-01-01
This file contains an array of county characteristics by which researchers can investigate contextual influences at the county level. Included are population size and the components of population change during 2000-2005 and a wide range of characteristics on or about 2005: (1) population by age, sex, race, and Hispanic origin, (2) labor force size and unemployment, (3) personal income, (4) earnings and employment by industry, (5) land surface form topography, (6) climate, (7) government revenue and expenditures, (8) crimes reported to police, (9) presidential election results (10) housing authorized by building permits, (11) Medicare enrollment, and (12) health profession shortage areas.
Curated

Distances Between Cities Acting as National Midpoints in the European System, 1816-1980 (ICPSR 9274)

Released/updated on: 2006-01-12
Geographic coverage: Global
Time period: 1816-01-01--1980-01-01
This collection provides longitudinal data on geographic distances between nations. These distances changed over time as a result of alterations in the political map of Europe. The collection is designed to permit investigation of the variance in the degree of adjacency of nations and the measurement of economic and military spheres of influence. Each part of this collection presents a distance matrix for the time period involved, with dyadic distances between cities acting as national midpoints measured in 100 kilometers.
Curated

Geographic Names Information System: National Geographic Names Data Base, Michigan Geographic Names (ICPSR 8374)

Released/updated on: 2006-01-18
Geographic coverage: United States, Michigan
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 containing Michigan place names and geographic features such as towns, schools, reservoirs, parks, streams, valleys, springs and ridges is accompanied by a file that provides a Cross-Reference to USGS 7.5 x 7.5 minute quadrangle maps for each feature. The records in the data files are organized alphabetically by place or feature name. 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.
Curated

Geographic Names Information System: National Geographic Names Data Base, Populated Places in the United States (ICPSR 8369)

Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Guam, Virgin Islands of the United States, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, United States, Oklahoma, Tennessee, Maine, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, New York, District of Columbia, Rhode Island, South Dakota, Hawaii, Minnesota, New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
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.
Curated

Geographic Names Information System: National Geographic Names Data Base, Populated Places in the United States (Phase II) (ICPSR 9515)

Released/updated on: 1992-02-17
Geographic coverage: United States
The Geographic Names Information System (GNIS) is an automated data system developed by the United States Geological Survey (USGS) to standardize and disseminate information on geographic names. GNIS provides primary information for all known places, features, and areas in the United States identified by proper name. The data file described here is a standard report file written from the National Geographic Names Data Base that lists all populated place records in GNIS for the United States. The entries are sorted by state and then listed alphabetically by feature name. Information provided includes the official placename, the feature type, the Federal Information Processing Standards (FIPS) code referencing the state, the principal county in which the place is located, the geographic coordinates (in degrees, minutes, and seconds) that locate the approximate original center of the place, the year of any pertinent United States Board on Geographic Names activity regarding the placename or its application, and a reference to the 1:24,000-scale USGS topographic map on which the feature is portrayed. The elevation in feet is given if available, as is the 1980 Census population figure.
Curated

Geographic Reference File--Names, 1990 (Census Version): [United States] (ICPSR 9731)

Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Indiana, Wyoming, Utah, Marshall Islands, Guam, Arizona, Montana, Kentucky, California, Kansas, Florida, Delaware, Pennsylvania, Mississippi, Iowa, Illinois, Texas, Connecticut, Micronesia (Federated States), Georgia, Virginia, Maryland, Idaho, Oregon, Vermont, Puerto Rico, Oklahoma, Tennessee, Maine, American Samoa, Alabama, Arkansas, Washington, South Carolina, Nebraska, West Virginia, Massachusetts, Colorado, Missouri, Alaska, North Dakota, Wisconsin, Nevada, District of Columbia, Rhode Island, South Dakota, Hawaii, Minnesota, New York (state), New Jersey, Michigan, New Mexico, New Hampshire, Louisiana, Ohio
This dataset contains the names that correspond with the 1990 Census high-level geographic area codes contained in the Topologically Integrated Geographic Encoding and Referencing System, or TIGER/Line files. Included are the record type, defining code(s), and name for each geographic entity.
Curated
Simple Crosstabs

Geoprivacy Attitudes and Personal Location Masking Strategies of Internet Users, California, 2017-2018 (ICPSR 37870)

Released/updated on: 2020-10-13
Geographic coverage: California
Time period: 2017-09-01--2018-04-30
This study contains the results of an online survey testing geoprivacy-related attitudes and behavior among adult California internet users. The major goals of this project are to examine public attitudes towards geoprivacy and the extent to which Internet users attempt to obscure or mask their locations. This project specifically tests the propensity of individuals to provide a precise and accurate home location when prompted. Hypothesized intervening variables for predicting personal location masking behavior collected in this survey are rural location, previous privacy infringement, experience with hacking or identity theft, and knowledge of location identifying power. The survey achieved a total of 214 responses, with 113 respondents from a probability postal address-based sample and 101 respondents from an open online sample.
Curated

Historical Maps of India and Pakistan, 1955-1963 (ICPSR 37937)

Released/updated on: 2021-01-25
Geographic coverage: Pakistan, India
Time period: 1955-01-01--1963-01-01

The Army Map Service was a cartographic agency that focused on the compilation, publication, and distribution of military topographic maps. This collection contains georeferenced historical maps of India and Pakistan collected from 1955-1963 from the U502 series.

The maps are provided as TIFF files that include spatial references that can be read by GIS software. These maps are organized by segments which are then divided into square tiles. The corners of each of these tiles contain an anchor point with corresponding coordinates alongside additional anchor points like a: coastal region, legend, glossary, scale, and a location diagram.

Curated

National Assessment of Educational Progress (NAEP) (ICPSR 36032)

Released/updated on: 2015-01-26
Geographic coverage: United States

The National Assessment of Educational Progress (NAEP) is the largest nationally representative and continuing assessment of what students in elementary and secondary schools in the United States know and can do in various subject areas. Assessments are conducted periodically in mathematics, reading, science, writing, the arts, civics, economics, geography, United States history, and beginning in 2014, in Technology and Engineering Literacy (TEL). Since NAEP assessments are administered uniformly using the same sets of test booklets across the United States, NAEP results serve as a common metric for all states and selected urban districts. The assessment stays essentially the same from year to year, with only carefully documented changes. This permits NAEP to provide a clear picture of student academic progress over time and for teachers, principals, parents, policymakers, and researchers to use NAEP results to assess progress and develop ways to improve education in the United States. For more information, please read An Introduction to NAEP.

There are two types of assessments: main NAEP and long-term trend NAEP. Main NAEP is administered to fourth-, eighth-, and twelfth-graders across the United States in a variety of subjects. The Main NAEP is conducted between the last week of January and the first week in March every year. National results are available for all assessments and subjects. Results for states and select urban districts are available in some subjects for grades 4 and 8. The Trial Urban District Assessment (TUDA) is a special project developed to determine the feasibility of reporting district-level NAEP results for large urban districts. In 2009 a trial state assessment was administered at grade 12. Long-term trend NAEP is administered nationally every four years. During the same academic year, 13-year-olds are assessed in the fall, 9-year-olds in the winter, and 17-year-olds in the spring. Long-term trend assessments measure student performance in mathematics and reading, and allow the performance of students from recent time periods to be compared with students since the early 1970s.

For example, the 1997 and 2008 NAEP arts assessments were part of the Main NAEP Assessments. The NAEP 1997 Arts Assessment was conducted nationally at grade 8. For music and visual arts, representative samples of public and nonpublic school students were assessed. A special "targeted" sample of students took the theatre assessment. Schools offering at least 44 classroom hours of a theatre course per semester, and offering courses including more than the history or literature of theatre, were identified. Students attending those schools who had accumulated 30 hours of theatre classes by the end of the 1996-97 school year were selected to take the theatre assessment. The NAEP 2008 Arts Assessment was administered to a nationally representative sample of 7,900 eighth-grade public and private school students. Approximately one-half of these students were assessed in music, and the other half were assessed in visual arts. The music portion of the assessment measured students' ability to respond to music in various ways. Students were asked to analyze and describe aspects of music they heard, critique instrumental and vocal performances, and demonstrate their knowledge of standard musical notation and music's role in society. The visual arts portion of the assessment included questions that measured students' ability to respond to art as well as questions that measured their ability to create art. Responding questions asked students to analyze and describe works of art and design. For example, students were asked to describe specific differences in how certain parts of an artist's self-portrait were drawn. Creating questions required students to create works of art and design of their own. For example, students were asked to create a self-portrait that was scored for identifying detail, compositional elements, and use of materials.

Most recently, in 2016, a total of 8,800 eighth-graders in the nation's public and private schools responded to and critiqued existing works of music and visual art and created their own original artwork. NCES collected and analyzed the data and released the 2016 report highlighting key findings. Average music and visual arts responding scores are reported separately on a scale of 0 to 300 points. Average creating scores for visual arts are reported on a scale of 0 to 100 percent. Results are also reported by student groups, school type, and region, as well as in comparison to the 2008 assessment.

In addition, NAEP has a number of special studies that are conducted periodically. These include research and development efforts such as the High School Transcript Study and the National Indian Education Study. More information on these special studies is available on the NAEP Web site.

Curated

National Neighborhood Data Archive (NaNDA): Land Cover by Census Tract and ZIP Code Tabulation Area, United States, 1985-2023 (ICPSR 38598)

Released/updated on: 2025-04-07
Geographic coverage: United States
Time period: 1985-01-01--2023-12-31
This collection contains measures of land cover (e.g., low-, medium-, or high-density development, forest, wetland, open water) derived from the National Land Cover Database (NLCD) and aggregated by United States census tract and ZIP code tabulation area (ZCTA). For each land type, land cover is measured both in total square meters and as a proportion of all land of that type within the tract or the ZCTA.
Curated

National Neighborhood Data Archive (NaNDA): Parks by Census Tract and ZIP Code Tabulation Area, United States, 2018 and 2022 (ICPSR 38586)

Released/updated on: 2023-11-29
Geographic coverage: United States
Prior research has demonstrated that access to parks and greenspace can have a positive impact on many aspects of and contributors to health, including physical activity levels (Kaczynski et al., 2007), healthy aging (Finlay, 2015), and sense of well-being (Larson et al., 2016). Neighborhood parks can also contribute to sense of community (Gómez, 2015). These datasets describe the number and area of parks in each census tract or each ZIP code tabulation area (ZCTA) in the United States. Measures include the total number of parks, park area, and proportion of park area within each census tract or ZCTA.
Curated

National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census Tract and ZIP Code Tabulation Area, United States, 2016-2018 and 2024 (ICPSR 38605)

Released/updated on: 2024-12-11
Geographic coverage: United States
Time period: 2016-01-01--2018-12-31, 2023-01-01--2023-12-31
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.
Curated

National Neighborhood Data Archive (NaNDA): Traffic Volume by Census Tract and ZIP Code Tabulation Area, United States, 1963-2019 (ICPSR 38584)

Released/updated on: 2022-11-10
Geographic coverage: United States
Time period: 1963-01-01--2019-01-01
This dataset contains measures of traffic volume per census tract and ZIP code tabulation area (ZCTA) in the United States from 1963 to 2019 (primarily 1997 to 2019). High traffic volume may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. The dataset contains measures of the average, maximum, and minimum traffic volume per year or per ZCTA per year. These figures are available for all streets, highways, and non-highways. In the ZCTA dataset, data is collected intermittently across locations over time, therefore traffic volume has been interpolated for years in which no measures are available. Data Source: Traffic volume measurements are derived from Kalibrate's TrafficMetrix database accessed via Esri Demographics. Census tract boundaries come from the 2010 TIGER/Line shapefiles. ZCTA boundaries come from the 2019 TIGER/Line shapefiles.
Curated

National Neighborhood Data Archive (NaNDA): Urbanicity by Census Tract, United States, 2010 (ICPSR 38606)

Released/updated on: 2022-12-12
Geographic coverage: United States
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.
Curated
Partially restricted
Simple Crosstabs

National Wellbeing Survey, United States, 2023 (ICPSR 39192)

Released/updated on: 2025-10-27
Geographic coverage: United States
Time period: 2023-01-01--2023-12-31

The National Wellbeing Survey (NWS) is an annual population-based cross-sectional survey of adults aged 18 to 64 in the United States first collected in 2021. The 2023 NWS was administered online from June 23 to September 14,2023. The 2023 sample includes 7,105 respondents. The sample frame included non-institutionalized adults in the United States who ranged in age from 18 to 64 years old and who were able to read English. NWS sample participants were recruited online through Qualtrics Panels. The sample design included an oversample of rural residents; 26% of respondents (N=1,862) reside in a non-metropolitan county. Survey topics include psychosocial wellbeing, social relationships and support, participation in social activities, physical health, mental health, health behaviors, health care use, employment quality and experiences, COVID-19 experiences, socioeconomic measures, political orientation, and demographic measures. The restricted use version of the data includes geographic identifiers for states (N=51) and counties (N=1,746).

Curated
Simple Crosstabs

National ZIP Code Crosswalk, [United States], 1990-2020 (ICPSR 39431)

Released/updated on: 2025-11-10
Geographic coverage: United States
Time period: 1990-01-01--2020-12-31

ZIP Codes are administrative codes generated by the United States Postal Service (USPS) that refer to the geographic area covered by a specific set of mail delivery routes. The U.S. Census Bureau calculates and distributes aggregated social, economic, and demographic information for the population associated with "ZIP Code Tabulation Areas" (ZCTAs), which are roughly analogous to ZIP Codes and serve as identifiers for specific neighborhoods and communities. These aggregated census data, however, are unable to account for changes in ZIP Code boundaries that occur between decennial censuses, leading to measurement error and missing data problems for scholars who attempt to use the aggregated ZCTA data. The purpose of this crosswalk file is to allow researchers to overcome this limitation, enabling them to appropriately link spatial reference information (ZIP Codes) with characteristics of the populations to which they refer.

Most ZIP Codes do not change boundaries in a decade, but a large enough percentage do as to create a problem with missing or mis-specified data. Boundary changes typically involve one or more of the following three processes, although a small number of cases do not conform to these typologies: (1) two or more existing ZIP Codes are combined to create a single surviving ZIP Code, (2) an existing ZIP Code is divided into multiple resulting ZIP Codes, and (3) boundaries between two or more existing ZIP Codes are altered.

Each of these types of changes alters the geographic area that a ZIP Code refers to, and as such, the spatial unit identified by the ZIP Code includes a different population, with a different array of characteristics. By linking the spatial units associated with ZIP Codes as these boundary changes are enacted, the research team can both prevent the loss of observations due to missing data, and more accurately measure social, demographic, and economic characteristics associated with each ZIP Code.

This data set identifies changes in ZIP Code boundaries between 1990 and 2020, and provides numeric codes that cluster the ZIP Codes into the smallest geographic unit, or group of ZIP Codes, that are consistent across a decade: 1990 - 2000, 2000 - 2010, and 2010 - 2020. This "crosswalk" covers the contiguous United States, Alaska, Hawaii, and the District of Columbia. Since much administrative data is available with ZIP Code as the smallest identifiable geography, ZIP Codes are often used to embed observations from administrative data (patients, businesses, survey respondents, etc.) within their social, demographic, and economic contexts. However, ZIP Code boundaries change over time, resulting in measurement error (matching observations to the wrong contextual unit) or missing data (due to an observation reporting a ZIP Code that did not exist at the beginning of the observational period). These data were collected, and the crosswalk created, in an attempt to resolve these data quality issues.

Self-published

PSID-SHELF, 1968–2021: The PSID's Social, Health, and Economic Longitudinal File (PSID-SHELF), Beta Release (ICPSR 194322)

Geographic coverage: United States
Time period: 1968-01-01--2021-01-01
The Panel Study of Income Dynamics–Social, Health, and Economic Longitudinal File (PSID-SHELF) provides an easy-to-use and harmonized longitudinal file for the Panel Study of Income Dynamics (PSID), the longest-running nationally representative household panel survey in the world.
The first major benefit of PSID-SHELF is that it provides users with a longitudinal data file that features the complete sample of the PSID's multigenerational panel. The current version of PSID-SHELF includes 42 waves of survey data, ranging from 1968 to 2021. Every individual who has ever been observed in the PSID Main Study is included in PSID-SHELF. There are over 8,000 sample families, comprising more than 900,000 observations from roughly 53,000 sample members (and an additional 30,000 nonsample individuals who have ever lived in a PSID family unit).  
The second major benefit of PSID-SHELF is that it features a novel set of harmonized measures on a wide range of substantive topics, including: (1) social characteristics (e.g., demographics, family type, education, race and ethnicity); (2) health characteristics (e.g., chronic conditions, COVID-19, dementia, disability); (3) economic characteristics (e.g., earnings, family income, occupations, wealth)—as well as a list of the PSID's essential administrative variables (e.g., survey identifiers, panel status, sample weights, household relationship records). Consequently, PSID-SHELF covers some of the most central variables in the PSID that have been collected for up to five decades.
PSID-SHELF can be used as a standalone data file, or it can easily be merged with other PSID data products to add additional public-use variables, by linking variables to a participant’s individual and family unit identifiers. The harmonized longitudinal file accentuates the PSID's strengths through its household panel structure that follows the same families over multiple decades and its multigenerational genealogical design that follows the descendants of PSID families that were originally sampled in 1968, with immigrant refresher samples in 1997–1999 and 2017–2019.
Although the PSID strives to ensure longitudinally consistent measurement, there are a number of variables that have changed across waves (e.g., because of new code frames, top-codes, question splitting, or other changes to the survey interview). But data harmonization, by necessity, involves analytic decisions that users may or may not agree with. These decisions are described at a high level in the PSID-SHELF User Guide and Codebook, but only a close review of the construction files that were used to generate PSID-SHELF can fully reveal each analytic decision. The Stata code underlying PSID-SHELF is publicly available not only to allow for such review but also to encourage users, as they become more comfortable with PSID, to use and alter the full code or selected code snippets for their own analytic purposes.
Despite multiple code reviews, it is possible that the files used to produce PSID-SHELF contain errors. As such, we encourage users to review the code carefully. If identified, please report any mistakes or errors to us ([email protected]). The authors wish to underscore that PSID-SHELF is currently being shared as a data product, in beta, and users are responsible for any errors arising from the provided code and files. 
Current Version 2025-01 (data release number).
Permanent DOI
DOI:10.3886/E194322 (data).
DOI:10.7302/25205 (documentation).
Recommended CitationsPlease cite PSID-SHELF in any product that makes use of the data or documentation. Anyone who uses PSID-SHELF should cite the data or the PSID-SHELF User Guide and Codebook—and, as required by the PSID user agreement, the PSID Main Study.
PSID-SHELF data:Pfeffer, Fabian T., Davis Daumler, and Esther Friedman. PSID-SHELF, 1968–2021: The PSID’s Social, Health, and Economic Longitudinal File (PSID-SHELF), Beta Release. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], <date last modified>. DOI:10.3886/E194322.PSID-SHELF User Guide and Codebook:Daumler, Davis, Esther Friedman, and Fabian T. Pfeffer. 2025. PSID-SHELF User Guide and Codebook, 1968–2021, Beta Release. PSID-SHELF Data Documentation 2025-01. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan. DOI:10.7302/25205.The PSID Main Study data:Panel Study of Income Dynamics, public-use dataset <or "restricted-use data," if appropriate>. Produced and distributed by the Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI: <year of data retrieval>.
Curated

Special Program Information Tape (ICPSR 8372)

Released/updated on: 2006-01-12
Geographic coverage: United States
This collection of computer programs and test data files was compiled by the Census Bureau for use with GEOGRAPHIC BASE FILE/DUAL INDEPENDENT MAP ENCODING (GBF/DIME), 1980 (ICPSR 8378). This collection consists of files grouped into five categories: Special Program Information Tape (SPIT) Datasets, UNIMATCH System Datasets, ADMATCH System Datasets, EASYMAP System Datasets, and EASYCORD System Datasets. Some of the capabilities of the programs in this collection include: mapping files for which complicated data manipulation is required, generating individualized lists of candidates for carpools, linking of records on the basis of street address, creating shaded area maps for statistical display, and producing a map coordinate system.
Curated

United States Geological Survey Digital Cartographic Data Standards: Digital Line Graphs from 1:2,000,000-Scale Maps (ICPSR 8379)

Released/updated on: 2006-01-18
Geographic coverage: Vermont, New York, Rhode Island, United States, Maine, Connecticut, New Hampshire
This dataset consists of cartographic data in digital line graph (DLG) form for the northeastern states (Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island and Vermont). Information is presented on two planimetric base categories, political boundaries and administrative boundaries, each available in two formats: the topologically structured format and a simpler format optimized for graphic display. These DGL data can be used to plot base maps and for various kinds of spatial analysis. They may also be combined with other geographically referenced data to facilitate analysis, for example the Geographic Names Information System.
Curated

World Data Bank II: North America, South America, Europe, Africa, Asia (ICPSR 8376)

Released/updated on: 2006-01-18
Geographic coverage: South America, Canada, United States, Asia, Europe, Africa, North America
The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.
Curated

World Factbook, 1989 (ICPSR 9366)

Released/updated on: 1992-02-17
Geographic coverage: Global
This annual survey contains the most current information on topics of interest to United States government officials. Data are presented in alphabetical order for 247 entities that include all countries, dependent areas, and other geographic entities. The entire surface of the world is represented without overlap or omission, and an additional entry for the world as a whole also is presented. Information provided covers the six major topic areas of geography, people, government, economy, communications, and defense forces.