DOI: 10.3886/icpsr38849.v1
title: IPUMS Contextual Determinants of Health (CDOH) Gender Measure: Proportion of State Legislators Identifying as Female by State, United States, 2015-2022
title: Version 1

description: 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 Gender measures in this release include the proportion of state legislators identifying as female, which is computed as the proportion for the state legislature as a whole and for the state house and senate legislative chambers. 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 <b>STATEFIPS</b> variable.
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: DS1 "MATCH ID and State FIPS Data" provides a <b>MATCH_ID</b> variable and <b>STATEFIPS</b> variable to allow users to merge the IPUMS Contextual Determinants of Health (CDOH) data with the NCHAT (National Couples' Health and Time Study). DS2 "Sexism State Proportion of State Legislators Identifying as Female Data" provides the percentage of state house members, state senators, and total state legislators who identify as female. Please refer to page 3 of the User Guide for the formulas used to create these ratios. Once the NCHAT data is merged with the IPUMS CDOH data using DS1, it can then be merge with DS2 via the <b>STATEFIPS</b> variable.
description: DS2 includes 17 variables and 404 cases. There are variables providing the count of state senators who identify as female by year broken out by Democrat, Republican, Independent, and total. This is repeated for state house members who identify as female. Then there are variables giving the total counts of state senators, state house members, and combined state legislators. Finally, there are 3 variables providing the percentage of state senators, state house members, and total legislators who identify as female.
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: DS0: Study-Level Files DS1: MATCH ID and State FIPS Data DS2: Sexism State Proportion of State Legislators Identifying as Female Data
description: Historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. Smallest Geographic Unit: State
description: record abstractsDS1 is the exact same file as the other "MATCH ID and State FIPS Data" files from the other studies within this IPUMS Contextual Determinants of Health (CDOH) series.For DS2, the data are limited to the 50 United States and the District of Columbia. However, there is no data for Washington, DC for the years of 2015 to 2018. Also, there is no data for other U.S. territories.