I haven't posted many maps and charts post-election because I'm hesitant to do with incomplete data given the slow count. Here are a few to start out with.

Here's a final county-level swing map for the Lower 48.
And because it's tradition I suppose, the county-level results.
Turnout increase by county.

Some outliers: College towns like State College, PA and Athens, OH posted declines or slight increases.

Dallas County, IA is the Collin County of the Midwest. It posted a 46% increase in raw votes.

Turnout drop in AR coincided with swing to Trump.
College whites drove the swing to Biden.
Three groups shifted in 2020: College whites to Biden, and as they got over 2016, Hispanics and Mormons to Trump. Blacks and Hispanics didn't shift. County-level Asian data isn't great but shifts in Hawaii and Santa Clara County, CA suggest they swung to Trump too.
Turnout increases led to a swing to Biden nationally, though there were plenty of new votes for Trump in this bunch and who benefits from higher turnout is cycle-specific.

The trendline implies that Biden won the 20M new voters in 2020 by about 15 points.
The more college-educated whites in a county, the better he did vs. 2016 - and the more he benefited from higher turnout.
Returning to the tweets below, polls basically did no better than a coin toss in predicting which way counties outside heavily Latino areas would shift in 2020 if you apply their national-level shifts to individual counties. https://twitter.com/PatrickRuffini/status/1337503499375046659
As a result, polls missed on both sides of the equation. If you apply the pre-election national demographic shifts to counties, you get this first-of-its-kind map of estimated county-level polling error. (Red = missed Trump, Blue = missed Biden.)
You can follow @PatrickRuffini.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

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