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Scroll through county data through Dec 28, 2022:
Scroll through county data through Dec 28, 2022:
On this page I compare the recent county-level Covid-19 case burdens. The data sources are referenced on the Data Sources page. NOTE-- Some county data were not added to the national databases on the Thanksgiving, Christmas and New Year Holidays. This creates artificial drops in the case count until the data are input.
[These results are for your information, only. The charts and summaries are not intended for any other purpose.] Most of the data on this page were retrieved from "The New York Times. (2021). Coronavirus (Covid-19) Data in the United States. Retrieved 2/11/2021, from https://github.com/nytimes/covid-19-data." Other data were pulled from the US Census and USPS.
Average daily cases through 12/28/2022.
Average daily cases through 12/28/2022.
The chart carousel for the county data (LEFT) captures the data (orange bars) and 7-day averages (blue lines) over the preceding year of the pandemic. The county data are adjusted for the size of the county population so that the separate counties can be compared directly. The vertical and horizontal plot scales are constant to highlight the differences among the counties. The current omicron variant "wave" is small in comparison to the previous waves of Covid cases. Even if the cases are seriously under-reported, the peak case load will not reach previous heightl.
Click on the LEFT or RIGHT arrows to scroll through the charts. (The arrows might not stay visible on mobile devices.)
Cases as a Percent of County Population
Cases as a Percent of County Population
I plotted the total cases as a percentage of the county population (chart). These results show that all of our counties have more than 1 in10 (e.g., 10%) cases. Tarrant, (TX) and Kenosha (WI) counties are approaching about 1 in 3 residents have been a Covid case!
The case burden expressed this was is useful for comparisons among the counties; however, it should be taken as a crude measure of case distributions! For example, true case counts have been show to be much greater than only the "positive tests" measure of case counts. If affected individuals do not get tested , they are not counted. Moreover, the percentage of cases doesn't account for second and third cases--although this would likely have a negligible effect on the overall count.
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