Geospatial analysis of neighborhood deprivation index (NDI) for the United States by county

Marcus R. Andrews, Kosuke Tamura, Sophie E. Claudel, Samantha Xu, Joniqua N. Ceasar, Billy S. Collins, Steven Langerman, Valerie M. Mitchell, Yvonne Baumer and Tiffany M. Powell-Wiley

Journal of Maps, 2020, vol. 16, issue 1, 101-112

Abstract: Little is known about the spatial clustering of neighborhood deprivation across the United States (US). Using data from the 2010 US Census Bureau, we created a neighborhood deprivation index (NDI: higher NDI indicates higher deprivation/ lower neighborhood socioeconomic status) for each county within the US County level scores were loaded into ArcGIS 10.5.1 where they were mapped and analyzed using Moran’s I and Anselin Local Moran’s I. Ultimately, NDI varies spatially across the US. The highest NDI scores were found in the Southeastern and Southwestern US states, and inland regions of Southern California. This information is critical for public health initiative development as planners may need to tailor the scale of their efforts based on the higher NDI neighborhoods of the county or geographic region with potentially greater chronic disease burden.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://hdl.handle.net/10.1080/17445647.2020.1750066 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjomxx:v:16:y:2020:i:1:p:101-112

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjom20

DOI: 10.1080/17445647.2020.1750066

Access Statistics for this article

Journal of Maps is currently edited by Dr Mike Smith, Dr Jeremy Porter and Dr Dick Berg

More articles in Journal of Maps from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().