Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities."
datasetposted on 24.09.2020, 16:35 by Katie Meehan, Jason R JurjevichJason R Jurjevich, Nicholas Chun, Justin Sherrill
Safe, reliable, and equitable water access is critical to human health and livelihoods. In this study, we undertake the first systematic and comprehensive analysis of household piped water access in the United States, with the aim of explaining drivers of infrastructural inequality in the 50 largest metropolitan areas. Drawing on statistical analysis and regression modeling of U.S. census microdata at the household scale, our analysis reveals spatial and sociodemographic patterns of racialized, class-based, and housing disparities that characterize plumbing poverty across metropolitan areas.
This dataset includes relevant supplemental data for our manuscript titled, "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities" (forthcoming, PNAS). Here, we present customized Public Use Microdata Sample (PUMS) definitions used in our study that make U.S. Metropolitan Statistical Area (MSA) geographies comparable over time, as well as the accompanying R code for statistical analysis of census microdata and the creation of spatial visualizations.
Parties interested in collaborating on use of the full script may contact the corresponding author (K. Meehan).
If you use this dataset or code, please cite as follows:
Meehan, Katie; Jason R. Jurjevich; Nicholas M.J.W. Chun, and Justin Sherrill (2020): Metropolitan Geographic Definitions and Code for "Geographies of Insecure Water Access and the Housing-Water Nexus in U.S. Cities." Tucson, AZ: University of Arizona Research Data Repository. https://doi.org/10.25422/azu.data.12456536
For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to email@example.com