Sometimes, you think that you found something interesting but the Maryland Department of Health is already presenting it on its COVID-19 dashboard 😀
For instance, I calculated the percentage of residents of the different counties ever tested (regardless of the test result). I found out that a third of Maryland counties (8/24) tested at least once more than 25% of their residents. Indeed, as of yesterday (August 10), here are the counties in that category:
County (alphabetical order) | % population ever tested |
---|---|
Baltimore | 25.8% |
Baltimore City | 30.2% |
Dorchester | 30.4% |
Kent | 30.6% |
Somerset | 30.8% |
Talbot | 28.6% |
Washington | 27.7% |
Wicomico | 25% |
While we are at it, here are the 5 counties with less than 20% of their population tested (still as of August 10, 2020):
County (alphabetical order) | % of population ever tested |
---|---|
Calvert | 14.9% |
Cecil | 15.3% |
Charles | 18.6% |
Harford | 18.1% |
Queen Anne’s | 19.4% |
Graphically, we see that all counties are testing more and more, and increasing at approximately the same speed:

As you can see, there are 2 minor issues with the dataset from the MDH API. First, Somerset reported more than double the normal number of tests on June 18, 2020; it went back to “normal” on the next day (I suspect an encoding error here, see highlight below). Then, there is no data after July 7; data resumes on July 13 (a posteriori, I don’t recall reading any issue about county data collection during that time). None of these prevents looking at the current data.

Now, as I mentioned, the official dashboard has already this data, presented by quartile, as a kind of competition between counties 😉 … (the % are slightly different, probably because we are using different sources for the population totals – I’m using the population projections from the Maryland Department of Planning).

To be continued …
As usual, you’ll find other graphs on my page about COVID-19 in Maryland (and figures above are updated with new data as they appear) and the data, code and figures are on Github (including these ones).