Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Note: The CDC lists ~413,000 Massachusetts residents (12.3% of the total fully vaccinated) whose county of residence is unknown.
For Massachusetts, it's important to note several things: First, every county in the state voted for Joe Biden by a wide margin (Bristol is the closest thing the state has to a "swing district").
Second, there's very little variance in vaccination rates between them as of today...with two weird exceptions: Barnstable and Dukes/Nantucket...in which, according to the CDC, only 4% and 2% of residents have been vaccinated to date, which makes zero sense whatsoever.
I know that Dukes & Nantucket are often merged for purposes of county-level data, and have a far lower combined population than the rest of the state, so I assume there's some unusual "county classification" going on there, or that the residents are reported as residing elsewhere or something. I don't know what the deal is with Barnstable, however.
Combine this with the unusually high "unknown" vaccination rate (no other state I've seen so far has had more than half as many in that category) and I'm not sure what to make of Massachusetts.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Here's Louisiana (reminder: Louisiana calls them Parishes, not Counties):
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Now that I've developed a standardized format/layout & methodology for tracking both state- and county-level COVID vaccination levels by partisan lean (which can also be easily applied to other variables like education level, median income, population density, ethnicity, etc), I've started moving beyond my home state of Michigan.
Delaware, Hawaii and Rhode Island only have 3, 6 and 5 counties respectively, so it seemed a little silly to run separate graphs for each one (I was already pushing it by giving Connecticut (8 counties) its own entry). So...I've merged all three onto one graph.
It also seemed a bit disingenous to try and come to any conclusions about a trendline with these three states in particular, so I didn't bother (not that there's much to make of that anyway...every county in these states is running between 40 - 65% vaccinated, and within 30-55% Trump support...except for tiny Kalawao, Hawaii, which only has 86 residents (none of whom appear to have been vaccinated yet, according to the CDC?), which I didn't bother listing at all.
Anyway, I'm including them mostly for completeness sake.
2020 Presidential Election results via DE, HI & RI Secretary of State's office (thru Wikipedia)
