Instead of looking at the cumulative county-level COVID death rates by 2020 partisan lean since the Delta Variant wave hit the United States in June, the graphs below look at how that has played out for each individual month since then.
The data does not include the U.S. territories (since they don't vote in the November Presidential election), and it's also missing around 4% of total COVID deaths across the 50 states + DC due to their county of residence being unknown.
With that in mind, here's what the Delta wave has looked like in June, July, August, September, October, November and the first 2 weeks of December 2021:
There's a lot of factors which come into play here, including political messaging, narratives and the like, but let's be perfectly blunt: What people really want to know (whether they admit it or not...some have been cruder in posing the question than others) is whether more GOP or Dem voters are dying of COVID, and how much that will impact the midterms at the ballot box.
Aside from the massive public health fallout, this fact has all sorts of poltiical implications as well, of course. Most of those involve pundits speculating about "the blame game" and so on; will voters in states like Florida and Texas blame their governors for doing everything possible to stymie reasonable pandemic safety measures such as mask mandates, or will they blame the Biden Administration for...I don't know, not tying people to a chair and manually forcing the COVID vaccine into their arms?
For weeks now, however, people have been asking me an even more basic, crass question about the impact of political tribalism on the 2022 midterm election:
I've gotten a lot of attention for my COVID "scatter plot bubble graphs" over the summer, laying out the COVID vaccinationandcase/death rates across every county nationally (well, mostly; Nebraska has stopped posting county-level data entirely, and Florida has only been posting county-level case data, not deaths, since June).
Data visualization is a tricky thing, though; sometimes line graphs are the way to go (that's what I did last year); other times scatter plots are more appropriate. But some people don't "get" either of these, so today let's look at some bar graphs.
For nearly a year, I posted a weekly analysis of the 100 U.S. counties (out of over 3,100 total) which had the highest cumulative rates of COVID-19 cases and deaths per capita. In addition, I also included a running graph which compared the ratio of COVID cases & deaths per capita between blue and red counties to track how this changed over time.
The results were extremely telling: In the early days of the pandemic back in March/April 2020, the blue counties were devastated for a variety of reasons, including heavy population density, the fact they were mostly located along the coasts (usually in cities with major international ports/airport hubs), and so forth. Democrats tend to live in heavily-populated urban areas, while Republicans are prone to live in more sparsely-populated rural areas, so this made sense.
For the first few months, both case and death rates were running as much as 4-5x higher in counties which voted solidly for Hillary Clinton in 2016/Joe Biden in 2020 than in those which voted for Trump in either 2016 or 2020.