IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v16y2020i1p101-112.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2020.1750066
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17445647.2020.1750066?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjomxx:v:16:y:2020:i:1:p:101-112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjom20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.