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The IPUMS Contextual Determinants of Health (CDOH) data series provides access to 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 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 2015 to 2020.

Sexual and Gender Minority measures in this release include county-level summary data on the proportion of same-sex households in the United States, as reported in the 2020 Decennial Census. To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

The IPUMS Contextual Determinants of Health (CDOH) data series provides access to 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 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 2015 to 2020.

The Politics measures in this release include county-level presidential election results from 2000-2020, indicating the proportion of votes cast for the Democratic candidate or the Republican candidate in each presidential election. To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

The IPUMS Contextual Determinants of Health (CDOH) data series provides access to 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 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 2015 to 2020.

The Race and Ethnicity measure in this release is an indicator of homeownership inequity, which includes the ratio between the proportion of householders identifying as White alone, not Hispanic or Latino, who own (as opposed to renting) their home and the proportion of householders identifying as a different race/ethnic group who own their home. Three ratios are provided for Black, Asian, and Hispanic groups. To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

The IPUMS Contextual Determinants of Health (CDOH) data series provides access to 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 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 2015 to 2020.

The Race and Ethnicity measure in this release is an indicator of employment inequity, which includes a ratio between the proportion of people aged 16-64, in the civilian labor force, who are employed and identify as White alone, not Hispanic or Latino and the proportion of people aged 16-64, in the civilian labor force, who are employed and identify as a different race/ethnic group (Black, Asian, and Hispanic). To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

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).

The IPUMS Contextual Determinants of Health (CDOH) data series provides access to 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 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 2015 to 2020.

The Race and Ethnicity measure in this release is an indicator of income inequity which is measured using the index of concentration at the extremes (ICE). ICE is a measure of social polarization within a particular geographic unit. It shows whether people or households in a geographic unit are concentrated in privileged or deprived extremes. The privileged group in this study is the number of households with a householder identifying as White alone, not Hispanic or Latino, with an income equal to or greater than $100,000. The deprived group in this study is the number of households with a householder identifying as a different race/ethnic group (e.g., Black alone, Asian alone, Hispanic or Latino), with an income equal to or less than $25,000. To work with the IPUMS CDOH data, researchers will need to use the variable MATCH_ID to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).

The PSID is the world's longest-running nationally representative household panel survey. With over 50 years of data on the same families and their descendants, the PSID is a cornerstone of the data infrastructure for empirically based social science research in the U.S. PSID gathers data on the family as a whole and on individuals residing within the family, emphasizing the dynamic and interactive aspects of family economics, demography, and health. PSID data were collected annually from 1968-1997 and biennially after 1997.

In the Main Interview, one person per family is interviewed on a regular basis. Information about each family member is collected, but much greater detail is obtained about the reference person and, if married/cohabitating, the spouse or long-term cohabitor. Survey content changes to reflect evolving scientific and policy priorities, although many content areas have been consistently measured since 1968. Information includes employment, income, wealth, expenditures, time use, health, dementia screener, insurance, education, marriage, childbearing, philanthropy, and numerous other topics. Additional types of PSID data are available only under a restricted contract. These include but are not limited to: geospatial data below the level of state; mortality data; Medicare claims; and educational characteristics from the National Center for Education Statistics.

With low attrition and high success in following young adults as they form their own families, the sample size has grown from roughly 5,000 families in 1968 to more than 9,000 families and 24,000 individuals by 2021. Over the course of the study, the PSID has distributed data on more than 84,000 individuals. The long panel, genealogical design, and broad content of the data offer unique opportunities to conduct generational and life-course research.

The PSID now contains thousands of inter- and intragenerational relationships over 50 years of data, including (as of the 2021 wave):

• "Paired" generational relationships, with each family in the pair providing independent interviews
  • Parent-Adult Child pairs: ~4,300
  • Sibling pairs: ~5,200
  • Cousin pairs: ~5,400
• "Tripled" generational relationships, with all three generations providing independent interviews
  • Grandparent-Parent-Adult Child triplets: ~1,000

For information about earlier data collections, see Panel Study of Income Dynamics (PSID): Main Interview, 1968-2015.

In 2021, the main interview was updated to include questions about the impacts of the COVID-19 pandemic, including: loss of earnings, US government stimulus payments, charitable giving, participants' exposure to COVID-19, and vaccination status.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via PSID) directly for details on obtaining the data. The Child Development Supplement (CDS) to the longitudinal survey Panel Study of Income Dynamics (PSID) focuses on child development, and covers such topics as school progress, academic achievement and cognitive ability, social well-being, emotional well-being, and health.

CDS-2021 was designed as a two-year follow-up to a main wave of CDS conducted in 2019 in order to support research on the effects of a cohort of children aged 2-17 years in 2021 for whom prior interview data in CDS-2019 were collected just prior to the onset of the COVID-19 pandemic in March 2020.

The original CDS was launched in 1997 with a cohort of children aged 0-12 years, with follow-up waves in 2002 and 2007. CDS in 2014 and 2019 collected information on the next generation of PSID children aged 0-17 years in each wave. For information about these earlier data collections, see Panel Study of Income Dynamics (PSID): Child Development Supplement, 1997-2019.

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 2015 to 2020.

The Sexual and Gender measures in this release include the proportion of a state's population identifying as LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022), and 3.5 (06/01/2022-08/08/2022). To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

The objective of this study is to validate the Institutional Medical Mistrust Scale (IMMS) using a large, national population to better understand issues of public trust in healthcare and government organizations. The aims of this study are: (1) conduct a national population survey using the IMMS; (1a) examine the influence that healthcare organizations and governing institutions at the local, state, and federal level have on medical mistrust during the COVID-19 pandemic in the United States; (1b) test the psychometrics of the IMMS in a large national survey; (2) test the IMMS in a national population with intentional oversampling of African American/Black, Latinx, and chronic disease respondents in the United States.

The endpoints for this study are divided into psychosocial measures as well as physical measures including: (1) measurement of institutional medical mistrust among health care and local/state and federal government organizations; (2) mental and physical health; (3) vaccine uptake or hesitation; (4) factors associated with vaccine uptake or hesitation.

This study explores whether perinatal telehealth uptake has mitigated the pandemic's effects on disparities in maternal care access, quality, and outcomes by race, ethnicity, and rural or urban residence. Research to date has approached this question in several ways. First, researchers have utilized census data to assess whether community-wide broadband infrastructure exists to support the use of telehealth services in areas with high travel times to maternal care units. Findings suggest that socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access to facilitate telehealth services. Second, to examine maternal care quality, researchers have employed South Carolina hospital-based claims data and vital statistics to identify racial, ethnic, and urban/rural disparities in rates of cesarean delivery before and during the COVID-19 pandemic period. Results indicate that cesarean rates differed by rural vs. urban facility locations and racial and ethnic groups but observed disparities were not significantly exacerbated by the pandemic. Third, using South Carolina hospital-based claims data and COVID-19 testing data, researchers found significant racial, ethnic, and rural disparities in postpartum readmissions involving mental health and substance use disorders from childbirth discharge through one year postpartum during the COVID-19 pandemic. Finally, drawing on data from the National COVID Cohort Collaborative (N3C), research has shown that hybrid care increased substantially during the COVID-19 public health emergency, but pregnant people living in rural areas had lower levels of hybrid care than urban people, and individuals who belonged to racial and ethnic minority groups were more likely to have hybrid care than White individuals.

Future research will investigate the impact of the COVID-19 pandemic and perinatal telehealth uptake on additional maternity care and birth outcomes by race, ethnicity, and urbanicity. The study also aims to assess how state-level telehealth policies relate to perinatal telehealth uptake by race, ethnicity, and urbanicity, and to develop a model to predict long-term changes in maternal care access, quality, outcomes, and expenditures, with and without state telehealth policies.

The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.

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.

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 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.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via PSID) directly for details on obtaining the data.

The Transition into Adulthood Supplement (TAS), started in 2005 and collected biennially through 2021, captures data on the development pathways and outcomes of children who participated in the 1997 PSID Child Development Supplement as they transition into young adulthood. Beginning in 2017, all PSID sampled children entering early adulthood are eligible to participate in the TAS. For information about these earlier data collections, see Panel Study of Income Dynamics (PSID): Transition into Adulthood Supplement, 2005-2019.

In 2021, the TAS was updated to include information about COVID-19 incidence and the effects of the pandemic.