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Data on race, inequality, and social capital in the U.S. counties
This article presents data on social capital at the United States’ county-level. Following Rupasingha et al. (2006), the social capital index captures the common factor among density measures of 10 different types of associations, voter turnout rates, U.S. decennial census participation rates, and t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807210/ https://www.ncbi.nlm.nih.gov/pubmed/33490335 http://dx.doi.org/10.1016/j.dib.2021.106717 |
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author | Kim, Dongkyu Kim, Mi-son McNeely, Natasha Altema |
author_facet | Kim, Dongkyu Kim, Mi-son McNeely, Natasha Altema |
author_sort | Kim, Dongkyu |
collection | PubMed |
description | This article presents data on social capital at the United States’ county-level. Following Rupasingha et al. (2006), the social capital index captures the common factor among density measures of 10 different types of associations, voter turnout rates, U.S. decennial census participation rates, and the number of non-profit organizations. Based on Knack (2003), we create associational densities measures as a proxy for both bridging and bonding social capital. Including data on income inequality, racial diversity, minority group size, average household income, educational attainment, the ratio of a family household, the size of migration population, and female labor market participation rates, the data covers 3,104 U.S. counties for both 2009 and 2014. This paper includes descriptive statistics and figures. This data article is associated with the article “Race, Inequality, and Social Capital in the U.S. Counties.” |
format | Online Article Text |
id | pubmed-7807210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78072102021-01-22 Data on race, inequality, and social capital in the U.S. counties Kim, Dongkyu Kim, Mi-son McNeely, Natasha Altema Data Brief Data Article This article presents data on social capital at the United States’ county-level. Following Rupasingha et al. (2006), the social capital index captures the common factor among density measures of 10 different types of associations, voter turnout rates, U.S. decennial census participation rates, and the number of non-profit organizations. Based on Knack (2003), we create associational densities measures as a proxy for both bridging and bonding social capital. Including data on income inequality, racial diversity, minority group size, average household income, educational attainment, the ratio of a family household, the size of migration population, and female labor market participation rates, the data covers 3,104 U.S. counties for both 2009 and 2014. This paper includes descriptive statistics and figures. This data article is associated with the article “Race, Inequality, and Social Capital in the U.S. Counties.” Elsevier 2021-01-07 /pmc/articles/PMC7807210/ /pubmed/33490335 http://dx.doi.org/10.1016/j.dib.2021.106717 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Kim, Dongkyu Kim, Mi-son McNeely, Natasha Altema Data on race, inequality, and social capital in the U.S. counties |
title | Data on race, inequality, and social capital in the U.S. counties |
title_full | Data on race, inequality, and social capital in the U.S. counties |
title_fullStr | Data on race, inequality, and social capital in the U.S. counties |
title_full_unstemmed | Data on race, inequality, and social capital in the U.S. counties |
title_short | Data on race, inequality, and social capital in the U.S. counties |
title_sort | data on race, inequality, and social capital in the u.s. counties |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807210/ https://www.ncbi.nlm.nih.gov/pubmed/33490335 http://dx.doi.org/10.1016/j.dib.2021.106717 |
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