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Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019
Subcounty housing unit counts are important for studying geo-historical patterns of (sub)urbanization, land-use change, and residential loss and gain. The most commonly used subcounty geographical unit for social research in the United States is the census tract. However, the changing geometries and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917187/ https://www.ncbi.nlm.nih.gov/pubmed/35277512 http://dx.doi.org/10.1038/s41597-022-01184-x |
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author | Markley, Scott N. Holloway, Steven R. Hafley, Taylor J. Hauer, Mathew E. |
author_facet | Markley, Scott N. Holloway, Steven R. Hafley, Taylor J. Hauer, Mathew E. |
author_sort | Markley, Scott N. |
collection | PubMed |
description | Subcounty housing unit counts are important for studying geo-historical patterns of (sub)urbanization, land-use change, and residential loss and gain. The most commonly used subcounty geographical unit for social research in the United States is the census tract. However, the changing geometries and historically incomplete coverage of tracts present significant obstacles for longitudinal analysis that existing datasets do not sufficiently address. Overcoming these barriers, we provide housing unit estimates in consistent 2010 tract boundaries for every census year from 1940 to 2010 plus 2019 for the entire continental US. Moreover, we develop an “urbanization year” indicator that denotes if and when tracts became “urbanized” during this timeframe. We produce these data by blending existing interpolation techniques with a novel procedure we call “maximum reabsorption.” Conducting out-of-sample validation, we find that our hybrid approach generally produces more reliable estimates than existing alternatives. The final dataset, Historical Housing Unit and Urbanization Database 2010 (HHUUD10), has myriad potential uses for research involving housing, population, and land-use change, as well as (sub)urbanization. |
format | Online Article Text |
id | pubmed-8917187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89171872022-03-28 Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 Markley, Scott N. Holloway, Steven R. Hafley, Taylor J. Hauer, Mathew E. Sci Data Data Descriptor Subcounty housing unit counts are important for studying geo-historical patterns of (sub)urbanization, land-use change, and residential loss and gain. The most commonly used subcounty geographical unit for social research in the United States is the census tract. However, the changing geometries and historically incomplete coverage of tracts present significant obstacles for longitudinal analysis that existing datasets do not sufficiently address. Overcoming these barriers, we provide housing unit estimates in consistent 2010 tract boundaries for every census year from 1940 to 2010 plus 2019 for the entire continental US. Moreover, we develop an “urbanization year” indicator that denotes if and when tracts became “urbanized” during this timeframe. We produce these data by blending existing interpolation techniques with a novel procedure we call “maximum reabsorption.” Conducting out-of-sample validation, we find that our hybrid approach generally produces more reliable estimates than existing alternatives. The final dataset, Historical Housing Unit and Urbanization Database 2010 (HHUUD10), has myriad potential uses for research involving housing, population, and land-use change, as well as (sub)urbanization. Nature Publishing Group UK 2022-03-11 /pmc/articles/PMC8917187/ /pubmed/35277512 http://dx.doi.org/10.1038/s41597-022-01184-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Markley, Scott N. Holloway, Steven R. Hafley, Taylor J. Hauer, Mathew E. Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title | Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title_full | Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title_fullStr | Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title_full_unstemmed | Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title_short | Housing unit and urbanization estimates for the continental U.S. in consistent tract boundaries, 1940–2019 |
title_sort | housing unit and urbanization estimates for the continental u.s. in consistent tract boundaries, 1940–2019 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917187/ https://www.ncbi.nlm.nih.gov/pubmed/35277512 http://dx.doi.org/10.1038/s41597-022-01184-x |
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