EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-31
Handle: RePEc:fip:fednls:88148