Distribution of COVID-19 Incidence by Geography, Race, and Income
Rajashri Chakrabarti and
William Nober
No 20200615, Liberty Street Economics from Federal Reserve Bank of New York
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.
Keywords: COVID-19; race; income; urban; population density; diversity (search for similar items in EconPapers)
JEL-codes: I14 R10 (search for similar items in EconPapers)
Date: 2020-06-15
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations:
Downloads: (external link)
https://libertystreeteconomics.newyorkfed.org/2020 ... race-and-income.html Full text (text/html)
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:fip:fednls:88148
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Liberty Street Economics from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().