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

Author

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

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.

Suggested Citation

  • Marcus R. Andrews & Kosuke Tamura & Sophie E. Claudel & Samantha Xu & Joniqua N. Ceasar & Billy S. Collins & Steven Langerman & Valerie M. Mitchell & Yvonne Baumer & Tiffany M. Powell-Wiley, 2020. "Geospatial analysis of neighborhood deprivation index (NDI) for the United States by county," Journal of Maps, Taylor & Francis Journals, vol. 16(1), pages 101-112, January.
    • Handle: RePEc:taf:tjomxx:v:16:y:2020:i:1:p:101-112
    DOI: 10.1080/17445647.2020.1750066
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    Cited by:

    1. Hadii M. Mamudu & David Adzrago & Oluwabunmi Dada & Emmanuel A. Odame & Manik Ahuja & Manul Awasthi & Florence M. Weierbach & Faustine Williams & David W. Stewart & Timir K. Paul, 2023. "Examining Disparities in Current E-Cigarette Use among U.S. Adults before and after the WHO Declaration of the COVID-19 Pandemic in March 2020," IJERPH, MDPI, vol. 20(9), pages 1-15, April.
    2. Cosmina-Daniela URSU & József BENEDEK, 2024. "Exploring local income inequalities by using spatial statistics. Emphasis on Romanian metropolitan areas," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 15, pages 298-323, June.
    3. Anastasia Zelenina & Svetlana Shalnova & Sergey Maksimov & Oksana Drapkina, 2022. "Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    4. Marcus R. Andrews & Kosuke Tamura & Janae N. Best & Joniqua N. Ceasar & Kaylin G. Batey & Troy A. Kearse & Lavell V. Allen & Yvonne Baumer & Billy S. Collins & Valerie M. Mitchell & Tiffany M. Powell-, 2021. "Spatial Clustering of County-Level COVID-19 Rates in the U.S," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    5. Nicole Farmer & Cristhian A. Gutierrez-Huerta & Briana S. Turner & Valerie M. Mitchell & Billy S. Collins & Yvonne Baumer & Gwenyth R. Wallen & Tiffany M. Powell-Wiley, 2021. "Neighborhood Environment Associates with Trimethylamine-N-Oxide (TMAO) as a Cardiovascular Risk Marker," IJERPH, MDPI, vol. 18(8), pages 1-15, April.

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