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Self-published

Spatiotemporal administrative dataset of nationality, residential diversity, and language demand among immigrants in South Korea, 2006-2024 (ICPSR 249944)

Released/updated on: 2026-06-16
Time period: 2006-01-01--2024-12-31
This deposit provides a harmonized panel of foreign residents in South Korea from 2006 to 2024 at three nested administrative levels: province (sido), district (sigungu), and sub-district (eup/myeon/dong), keyed to official place names and, at the sub-district level, the administrative-dong code. It combines two population definitions on the same rows: Ministry of Justice registered foreigners, broken down by nationality and visa status, and Ministry of the Interior and Safety broad-definition foreign residents, which add non-naturalized residents, naturalized citizens, and their children, along with children-by-age, multicultural households, and naturalization. From these counts it derives residential segregation, ethnic diversity, ethnic enclave, and language demand measures, with the resident-registration population included as the denominator. The files are flat CSVs and labeled Stata files: one summary file per administrative level, plus breakdown files by nationality, visa status, age and sex, language, and household type. Every categorical field is given in both Korean and English. This README is the full data documentation, and data_dictionary.csv provides bilingual per-column definitions. The dataset is the data layer behind the public dashboard at https://immigrantsinkorea.today, and the build and analysis code is on GitHub at https://github.com/nariyoo/kird-korea-immigration.
Self-published

Data and code for: Public transit access and income segregation (ICPSR 224942)

Released/updated on: 2025-07-10
Geographic coverage: United States
Time period: 2000-01-01--2017-12-31
Replicates results from "Public transit access and income segregation" (publication forthcoming at International Economic Review). Article Abstract: What are the implications of mass transit improvements for residential income segregation within cities? I observe large income differences in households’ usage of and residential proximity to ‘fast’ versus ‘slow’ transit (e.g. subways versus buses on shared lanes). Consistent with these observations, I propose a theoretical framework to characterize the relationship between income segregation and the spatial distribution of transit speeds and travel mode choices within cities. I find that transit improvements that would maximize transit ridership tend to reduce income segregation when improving ‘slow’ transit but increase income segregation when improving ‘fast’ transit.
Curated
Restricted

IPUMS Contextual Determinants of Health (CDOH) Race and Ethnicity Measure: Residential Segregation - Index of Dissimilarity Inequity by County, United States, 2005-2022 (ICPSR 39242)

Released/updated on: 2025-02-05
Geographic coverage: United States
Time period: 2005-01-01--2022-12-31

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women.

The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website.

Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2000 to 2020.

The Race and Ethnicity measures in this release are indicators of residential segregation, which measures the physical separation of population groups into different areas (i.e., neighborhoods) in a geographic unit (i.e., a county or city). The index of dissimilarity is a measure of evenness and measures the proportion of a group's population that must move so that each sub-county geographic unit in a county has the same proportion of that group as the county. Census tracts are used as the sub-county geographic unit because census tracts nest within counties.

Self-published

Historic Redlining Indicator for 2000, 2010, and 2020 US Census Tracts (ICPSR 141121)

Released/updated on: 2023-09-25
Geographic coverage: United States
Time period: 2000-01-01--2020-12-31
The Home Owners’ Loan Corporation (HOLC) was a U.S. federal agency that graded mortgage investment risk of neighborhoods across the U.S. between 1935 and 1940. HOLC residential security maps standardized neighborhood risk appraisal methods that included race and ethnicity, pioneering the institutional logic of residential “redlining.” The Mapping Inequality Project digitized the HOLC mortgage security risk maps from the 1930s. We overlaid the HOLC maps with 2010 and 2020 census tracts for 142 cities across the U.S. using ArcGIS and determined the proportion of HOLC residential security grades contained within the boundaries. We assigned a numerical value to each HOLC risk category as follows: 1 for “A” grade, 2 for “B” grade, 3 for “C” grade, and 4 for “D” grade. We calculated a historic redlining score from the summed proportion of HOLC residential security grades multiplied by a weighting factor based on area within each census tract. A higher score means greater redlining of the census tract. Continuous historic redlining score, assessing the degree of “redlining,” as well as 4 equal interval divisions of redlining, can be linked to existing data sources by census tract identifier allowing for one form of structural racism in the housing market to be assessed with a variety of outcomes. The 2010 files are set to census 2010 tract boundaries. The 2020 files use the new census 2020 tract boundaries, reflecting the increase in the number of tracts from 12,888 in 2010, to 13,488 in 2020. Use the 2010 HRI with decennial census 2010 or ACS 2010-2019 data. As of publication (10/15/2020) decennial census 2020 data for the P1 (population) and H1 (housing) files are available from census. Updated (8/9/2023) - The Historic Redlining Score has been renamed the Historic Redlining Indicator or HRI. The HRI has also been calculated for Census 2000 boundaries.
Self-published

National Getis-Ord Gi* statistics for select populations; 1990-2019 (ICPSR 170541)

Released/updated on: 2022-12-14
Geographic coverage: United States
Local Getis-Ord Gi* statistics were calculated as a measure of residential segregation. Measures were calculated at the census tract level based on the proportion of non-Hispanic White, non-Hispanic Black, non-Hispanic Asian [and Pacific Islander for 1990 and 2000 census], Hispanic, and immigrant persons (regardless of country of origin; 2008-2012 only) per census tract. Gi* statistics are Z-scores that compare the proportion of the population in the focal tract and its neighboring tracts to the average proportion of a larger geographic unit. For the majority of tracts, the larger geographic unit was the Core-Based Statistical Area (CBSA) these tracts belonged to. The county was used as the larger unit for tracts that fell outside the boundaries of a CBSA.Data for the measures were obtained from the IPUMS National Historical Geographic Information System (NHGIS) data finder. Data were downloaded for the 1990 and 2000 census, and the 2006-2009, 2008-2012 (Immigrant segregation only), 2010-2014, and 2015-2019 5-year American Community Survey (ACS) estimates. Geographically standardized time series tables were used for 1990 and 2000 census data. All other ACS data were standardized to 2010 census tract boundaries.G*statistics were calculated using both Rook and Queen conceptualization of spatial relationships. With Rook contiguity, neighbors are determined by those that share a common edge only, while Queen contiguity neighbors are those that share both an edge or a "corner" (common vertex). See detailed documentation for further details.
Self-published

Residential Segregation Across Metro St. Louis School Districts: Examining the Intersection of Two Spatial Dimensions (ICPSR 110981)

Released/updated on: 2019-07-30
Geographic coverage: St. Louis, Missouri, United States
Time period: 2015-01-01--2015-12-31
Residential Segregation Across Metro St. Louis School Districts: Examining the Intersection of Two Spatial Dimensions    
The present study employs a geospatial analytical approach to studying the evenness-clustering and isolation-exposure dimensions of segregation in the context of the St. Louis, Missouri metropolitan region. In contrast to global indicators of segregation, this approach focuses on  the evenness and isolation dimensions at the local level in order to visualize how they interact across neighborhoods. While not traditionally thought of as a method for theory testing, GIS can contribute to the validation process by displaying how constructs interact when applied in an actual geographic context. We examined separately the segregation dimension of racial evenness-exposure and its intersection with Black isolation and poverty isolation. The study used data from 446 census tracts that represent 65 St. Louis area school districts. When visualizing segregation dimensions through spatial mapping, it becomes apparent that communities that appear diverse may have neighborhoods where individuals or groups remain isolated.
Curated
Simple Crosstabs

Los Angeles Metropolitan Area Surveys [LAMAS] 5, 1972 (ICPSR 36624)

Released/updated on: 2017-08-21
Geographic coverage: United States, Los Angeles, California
Time period: 1972-01-01--1972-12-31

The Los Angeles Metropolitan Area Surveys [LAMAS] 5, 1972 collection reflects data gathered in 1972 as part of the Los Angeles Metropolitan Area Surveys (LAMAS). The LAMAS, beginning in the spring of 1970, were a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.

The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey covered respondents' attitudes toward the following topics: health care services in the community, problems facing Los Angeles and the United States, psychological well-being, civic engagement, political party affiliation, and financial well-being. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics included: air pollution, drinking and driving, and school and residential desegregation.

Demographic variables in this collection include age, marital status, sex, education, income, household size, race, ethnicity, and housing type.

Curated
Simple Crosstabs

Detroit Area Study and Chicago Area Study, 2004 (ICPSR 23820)

Released/updated on: 2016-04-01
Geographic coverage: Detroit, United States, Chicago, Illinois, Michigan
Time period: 2004-01-01--2004-12-31
The 2004 Detroit Area Study (DAS) is a face-to-face survey of adults in the Detroit, Michigan tri-county area. The 2004 Chicago Area Study (CAS) is a parallel survey conducted in Chicago, Illinois. Topics in this survey addressed racial issues, residence and housing, neighborhood evaluations, racial attitudes, labor market issues, and racial segregation in the Detroit and Chicago areas. Respondents were asked for opinions on their local and surrounding communities, their experiences searching for housing, feelings about possible relocation, and opinions on the redevelopment of neighborhoods in the city of Detroit and the city of Chicago. Other questions addressed the household's financial situation, home ownership, amount of household debts and assets, and history of receiving public assistance. Information was also collected on the types of schools children in the household attended, whether respondents and their parents were born in the United States, and languages spoken at home. Interviewer observations about the condition of the respondent's neighborhood were also included. Demographic variables include respondent's sex, age, marital/cohabitation status, United States citizenship status, political philosophy, household income, number of children in the household, and the race, ethnicity, education level, and employment status of respondents and their spouses or partners.
Curated
Partially restricted
Simple Crosstabs

Detroit Area Study, 1992: Social Change in Detroit (ICPSR 2880)

Released/updated on: 2015-12-02
Geographic coverage: Detroit, United States, Michigan
Time period: 1992-01-01--1992-12-31

This survey focused on factors that influence social change in the Michigan tri-county area of Oakland, Macomb, and Wayne counties and the changes that have occurred over time with respect to different ethnic groups and women. Respondents' opinions were sought on issues such as job discrimination, including pay and promotion on the basis of race, ethnicity, or gender, factors that influence employers in hiring decisions, such as experience in line of work, formal education, references, looks and appearance, age, race, and gender, possible reasons for Blacks' having worse jobs, income, and housing than Whites, and factors that affect this situation, such as racial discrimination, perceived inferior ability, lack of educational opportunities, and lack of motivation on the part of Blacks. The survey also elicited respondents' views on factors influencing residential segregation, including the lack of affordable housing for African Americans and other ethnic minorities and the lack of Whites' acceptance of these ethnic minority groups in White neighborhoods. Other variables probed respondents' attitudes toward interracial marriage, segregated and desegregated schools, all-Black male and all-Black female public schools, nonviolent and violent means of social change among Blacks, government legislative measures such as the cut in welfare cost, parental approval for under-age abortion, the amount of federal taxes paid, and affirmative action for women and African Americans in job training, education, hiring, and promotion. Also explored were respondents' feelings about the quality of city and neighborhood services, public schools, crime, and the desirability of living in Wayne, Oakland, and Macomb counties and some of the suburbs around Detroit. Additional variables examined respondents' views on comparative wealth and intelligence among ethnic groups such as Asians, Blacks, Hispanics, Arab Americans, and Whites, the degree of discrimination toward Hispanics, Blacks, Asians, and women, and the high degree of self-reliance among immigrant groups and nationalities in the United States as compared to United States minorities such as African Americans. Questions on the respondents' educational background covered the level of education and professional qualifications. Additional information gathered by the survey includes duration of residence in the tri-county area and at the current residence, place of previous residence, employment status, place of employment, mode of transportation to work, income, current debts and assets, job benefits, previous military service, information on family and household members, religious denomination, presidential candidate preference, age, race, ethnicity, skin tone if Black, marital status, and gender.

Curated
Simple Crosstabs

Philadelphia Social History Project: Grid Data, 1850, 1860, 1870, 1880 (ICPSR 34982)

Released/updated on: 2014-07-30
Geographic coverage: United States, Philadelphia, Pennsylvania
Time period: 1850-01-01--1850-12-31, 1860-01-01--1860-12-31, 1870-01-01--1870-12-31, 1880-01-01--1880-12-31
This component of the Philadelphia Social History Project examines the demographic composition of city grid squares using census data from years 1850, 1860, 1870, and 1880. The collection consists of two types of data files: (1) grid tallies, and (2) grid dictionaries. The grid tally files consist of counts of individuals living in PSHP grid squares, with totals broken down by race/ethnicity, sex, and age. The grid dictionary files link lines in the census manuscripts to PSHP grid squares, allowing users to follow the movements of census-takers as they moved house-to-house on foot, adding individuals to the printed census manuscript forms. The "grid" network consists of a set of vertical and horizontal lines drawn at fixed intervals across a city map, forming the foundation for the spatial organization of the data. The grid dictionary files show when census-takers crossed from one grid square to another; each row in the grid dictionary describes a set of rows that are in a specific grid square by listing the starting page/line and the ending page/line.
Curated

Understanding the Fear of Street Gangs: The Importance of Community Conditions [Santa Ana, California, 1997] (ICPSR 32161)

Released/updated on: 2012-02-29
Geographic coverage: United States, Santa Ana, California
Time period: 1997-01-01--1997-12-31

This study was designed as an exploratory study to understand fear of gang crime among residents living in an urban area plagued by gangs. During the Summer of 1997, six focus groups were conducted in Santa Ana, California -- two in lower income neighborhoods, two in middle income neighborhoods, and two in upper income neighborhoods. After the focus groups ended, participants were asked to take disposable cameras with them and take pictures of examples of neighborhood factors that prompted them to fear gangs and then mail them back to me in a postage-paid envelope.

The research questions guiding this study were: How do the fear-of-crime perspectives apply to fear of gang crime specifically? When worrying about gang crime, do different people focus primarily on different problems (e.g., some diversity or some disorder), or do the same people think about all of these factors? Findings first showed that all four theoretical perspectives on fear of crime applied to the same people at once, rather than to different people (e.g., some being worried about racial and ethnic differences but others about disorder). Second, findings illustrated specifically how these residents connected the factors into one thought process leading to fear of gangs. Residents in these groups clearly believed that ethnic and cultural diversity, or in this case, recent "illegal" Latino immigrants, brought disorder, which in turn caused community decline and brought gangs. This thought process led to personal fear of gang-related victimization. Their beliefs about these causal connections were primarily influenced by their knowledge and observations that gangs in the area were Latino; by direct observation of area diversity disorder, and decline; and by experience living in their changing neighborhoods over time. In addition, beliefs were fueled by indirect victimization, or knowledge gained primarily through acquaintances such as neighbors and community policing officers.

Curated

Study on Aging, 1980 (ICPSR 23140)

Released/updated on: 2008-10-29
Geographic coverage: United States, New York (state)
Time period: 1980-01-01--1980-12-31
This study investigates the mental health impact of residential segregation of the aged, comparing older residents of age-integrated and age-segregated neighborhoods in the Albany-Schenectady-Troy, NY, standard metropolitan statistical area (SMSA).
Curated

Multi-City Study of Urban Inequality, 1992-1994: [Atlanta, Boston, Detroit, and Los Angeles] (ICPSR 2535)

Released/updated on: 2008-04-23
Geographic coverage: Detroit, United States, Atlanta, Massachusetts, Los Angeles, California, Georgia, Michigan, Boston
Time period: 1992-01-01--1994-12-31
The Multi-City Study of Urban Inequality was designed to broaden the understanding of how changing labor market dynamics, racial attitudes and stereotypes, and racial residential segregation act singly and in concert to foster contemporary urban inequality. This data collection comprises data for two surveys: a survey of households and a survey of employers. Multistage area probability sampling of adult residents took place in four metropolitan areas: Atlanta (April 1992-September 1992), Boston (May 1993-November 1994), Detroit (April-September 1992), and Los Angeles (September 1993-August 1994). The combined four-city data file in Part 1 contains data on survey questions that were asked in households in at least two of the four survey cities. Questions on labor market dynamics included industry, hours worked per week, length of time on job, earnings before taxes, size of employer, benefits provided, instances of harassment and discrimination, and searching for work within particular areas of the metropolis in which the respondent resided. Questions covering racial attitudes and attitudes about inequality centered on the attitudes and beliefs that whites, Blacks, Latinos, and Asians hold about one another, including amount of discrimination, perceptions about wealth and intelligence, ability to be self-supporting, ability to speak English, involvement with drugs and gangs, the fairness of job training and educational assistance policies, and the fairness of hiring and promotion preferences. Residential segregation issues were studied through measures of neighborhood quality and satisfaction, and preferences regarding the racial/ethnic mix of neighborhoods. Other topics included residence and housing, neighborhood characteristics, family income structure, networks and social functioning, and interviewer observations. Demographic information on household respondents was also elicited, including length of residence, education, housing status, monthly rent or mortgage payment, marital status, gender, age, race, household composition, citizenship status, language spoken in the home, ability to read and speak English, political affiliation, and religion. The data in Part 2 represent a telephone survey of current business establishments in Atlanta, Boston, Detroit, and Los Angeles carried out between spring 1992 and spring 1995 to learn about hiring and vacancies, particularly for jobs requiring just a high school education. An employer size-weighted, stratified, probability sample (approximately two-thirds of the cases) was drawn from regional employment directories, and a probability sample (the other third of the cases) was drawn from the current or most recent employer reported by respondents to the household survey in Part 1. Employers were queried about characteristics of their firms, including composition of the firm's labor force, vacant positions, the person most recently hired and his or her salary, hours worked per week, educational qualifications, promotions, the firm's recruiting and hiring methods, and demographic information for the respondent, job applicants, the firm's customers, and the firm's labor force, including age, education, race, and gender.
Curated

National Survey of Black Americans, 1979-1980 (ICPSR 8512)

Released/updated on: 2005-11-04
Geographic coverage: United States
Time period: 1979-01-01--1980-12-31
The purpose of this data collection is to provide an appropriate theoretical and empirical approach to concepts, measures, and methods in the study of Black Americans. The questionnaire was developed over two years, with input from social scientists, students, and a national advisory panel of Black scholars. The final instrument encompasses several broad areas related to Black American life. The study explores neighborhood-community integration, services, crime and community contact, the role of religion and the church, physical and mental health, and self-esteem. It also examines employment, the effects of chronic unemployment, the effects of race on the job, and interaction with family and friends. In addition, the survey provides information on racial attitudes, race identity, group stereotypes, and race ideology. Demographic variables include education, income, occupation, and political behavior and affiliation.
Curated

National Survey of Black Americans, Waves 1-4, 1979-1980, 1987-1988, 1988-1989, 1992 (ICPSR 6668)

Released/updated on: 2005-11-04
Geographic coverage: United States
The purpose of this data collection was to provide an appropriate theoretical and empirical approach to concepts, measures, and methods in the study of Black Americans. Developed with input from social scientists, students, and a national advisory panel of Black scholars, the survey investigates neighborhood-community integration, services, crime and community contact, the role of religion and the church, physical and mental health, self-esteem, life satisfaction, employment, the effects of chronic unemployment, the effects of race on the job, interaction with family and friends, racial attitudes, race identity, group stereotypes, and race ideology. Demographic variables include education, marital status, income, employment status, occupation, and political behavior and affiliation.
Curated

Detroit Area Study, 1976: A Study of Metropolitan and Neighborhood Problems (ICPSR 7906)

Released/updated on: 1997-12-19
Geographic coverage: Detroit, United States, Michigan
Time period: 1976-01-01--1976-12-31

This survey was concerned with respondents' opinions of their neighborhoods, public policy issues, and racial issues. Housing discrimination, Black/White racial attitudes, and busing to achieve school integration were among the issues surveyed. Information was also collected on respondents' employment status and reasons for moving from or staying in their neighborhoods.

Curated

New Homes and Poor People, 1966-1967 (ICPSR 7492)

Released/updated on: 1992-02-16
Geographic coverage: United States
Time period: 1966-01-01--1967-12-31
This study focused on the indirect consequences of new housing construction by examining the sequences of moves triggered by first-time occupancies of new homes. In particular, the investigation attempted to ascertain whether the construction of new, relatively expensive housing might indirectly benefit low-income people or African Americans who could not afford to purchase these new houses but would be able to move into vacancies created farther along the chain. Interviews were first conducted with a representative sample of first-time inhabitants of newly-built homes, and then with the families that moved into the dwellings left vacant. Wherever possible, each chain of moves was followed to its logical conclusion. Demographic information includes age, sex, and education of family head, race of respondent, family life cycle, and family income.
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