IDEAS home Printed from https://ideas.repec.org/p/fip/fednls/88148.html
   My bibliography  Save this paper

Distribution of COVID-19 Incidence by Geography, Race, and Income

Author

Abstract

In this post, we study whether (and how) the spread of COVID-19 across the United States has varied by geography, race, income, and population density. Have urban areas been more affected by COVID-19 than rural areas? Has population density mattered in the spread? Has the coronavirus's impact varied by race and income? Our analysis uncovers stark demographic and geographic differences in the effects of the pandemic thus far.

Suggested Citation

  • Rajashri Chakrabarti & William Nober, 2020. "Distribution of COVID-19 Incidence by Geography, Race, and Income," Liberty Street Economics 20200615, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednls:88148
    as

    Download full text from publisher

    File URL: https://libertystreeteconomics.newyorkfed.org/2020/06/distribution-of-covid-19-incidence-by-geography-race-and-income.html
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The Pandemic Tsunami: How COVID-19 Swept Across America
      by Jason Barr in Skynomics Blog on 2021-02-25 13:08:22

    More about this item

    Keywords

    COVID-19; race; income; urban; population density; diversity;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fednls:88148. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/frbnyus.html .

    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: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.