Template:COVID-19 Prevalence in US by county

This file may be updated to reflect new information. If you wish to use a specific version of the file without it being overwritten, please upload the required version as a separate file.

This map shows confirmed cases of w:en:COVID-19, coded by percentage of population confirmed to be infected as of 29 March 2021. The data is used from the data as aggregated and released by Johns Hopkins University and US census (2019 population estimate). As this is a current outbreak, the map might not be up to date.

 

10.00%+ Confirmed infected

 

3.00%-10.00% Confirmed infected

 

1.00%-3.00% Confirmed infected

 

0.30%-1.00% Confirmed infected

 

0.10%-0.30% Confirmed infected

 

0.03%-0.10% Confirmed infected

 

0.00%-0.03% Confirmed infected

 

no confirmed cases or no data

The design is based on blank maps available in Public Domain (created by Yiling Chen from TIGER shapefiles), the color scheme is based on color brewer. The script for creating the maps was written by Sukolsak Sakshuwong and Lodewijk Gelauff.

known issues with the data

* Cases from counties named 'Out of <state>' are not represented (these have no geographic representation) Cases from counties named 'Unassigned' are not represented (these have no geographic representation) The data from Dukes and Nantucket, MA may be distorted because sources represent them differently. The data from the 5 counties of New York City are merged and prevalence is calculated jointly. Cases from counties "Michigan Department of Corrections (MDOC)" and "Federal Correctional Institution (FCI)" (both Michigan) are not represented (these have no geographic representation) The data from the health districts of Utah span multiple counties and prevalence is calculated for those jointly. The data from the 4 counties and city of Kansas City (Jackson, Clay, Platte, Cass) are merged and prevalence is calculated jointly. Beginning August 19, only confirmed cases are counted in county total cases for Massachusetts. This makes it appear as though the case numbers have dropped in affected counties.