DOI: 10.3886/icpsr39236
title: IPUMS Contextual Determinants of Health (CDOH) Politics Measure: Presidential Election Results by County, United States, 2000-2020
title: Archival Version

description: 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 <strong>MATCH_ID</strong> to merge the data in DS1 with NCHAT surveys within the virtual data enclave (VDE).
description: The purpose of this study is to provide researchers the ability to merge the NCHAT (National Couples' Health and Time Study) data with the Contextual Determinants of Health (CDOH).
description: The variable <strong>MATCH_ID</strong> is intended to allow users to merge the IPUMS Contextual Determinants of Health (CDOH) data with the NCHAT (National Couples' Health and Time Study). 
These data provide the proportion of a county's votes cast for the Democratic and Republican candidate respectively in the corresponding presidential election. Please refer to page 2 of the User Guide for the formula used to create these percentages.
description: DS1 contains 12 variables indicating the proportion of each county's vote cast for Democrats or Republicans. These data also include the ID variable <strong>MATCH_ID</strong> to merge the CDOH data with NCHAT data and the random county identifier <strong>GEOID_RANDOM</strong> to allow researchers to control for the county within their analyses.
description: The Contextual Determinants of Health (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.
description: Datasets: 
DS1: IPUMS Contextual Determinants of Health (CDOH) Politics Measure: Presidential Election Results by County, United States, 2000-2020
description: Historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. Smallest Geographic Unit: County
description: record abstractsEach dataset includes <strong>MATCH_ID</strong>s for all respondents in NCHAT. This variable should be used to merge the IPUMS CDOH variables to NCHAT surveys within ICPSR's virtual data enclave (VDE).Each dataset also includes the variable <strong>GEOID_RANDOM</strong>. This variable is included so investigators can control for the county within their analyses (e.g., whether respondents are living within the same county) without knowing the actual county of the NCHAT respondent. This was done to preserve participant confidentiality.