COVID-19

The data below comes from the GitHub data repositories of Johns Hopkins University, except for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

Note that a few weeks ago I finally went through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, October 10th (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

The data below comes from the GitHub data repositories of Johns Hopkins University, except for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

Note that a few weeks ago I finally went through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, October 10th (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

Back in early August, Covered California issued an extensive analysis of their upcoming 2021 individual market offerings, including the preliminary weighted average premium rate changes of just a 0.6% increase. Officially, this was just the average of the preliminary requests; the approved rates were presumably forthcoming at a later date.

Well, the 2021 Open Enrollment Period has technically already started in California...while new enrollees still have to wait until November 1st, current CoveredCA enrollees have apparently been able to re-enroll for 2021 since October 1st! (In previous years, CoveredCA opened up the renewal period starting on Oct. 15th)

The data below comes from the GitHub data repositories of Johns Hopkins University, except for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

Note that a few weeks ago I finally went through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, October 3rd (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

The data below comes from the GitHub data repositories of Johns Hopkins University, except for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

Note that a few weeks ago I finally went through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, September 26th (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

The data below comes from the GitHub data repositories of Johns Hopkins University, execpt for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

A reminder that I made two important changes to the spreadsheet last week:

  • First, the Johns Hopkins Github archive has finally started breaking out New York City's data into the five separate boroughs/counties
  • Second, I've finally gone through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, September 19th (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

Me, June 16th, after several months of various state-based ACA exchanges bumping out their COVID-19 Special Enrollment Period deadlines by a month, then another month, then another month:

At a certain point I'm guessing at least one of the state exchanges will just say "screw it" and open 2020 enrollment up for the full year.

The point of a deadline is a) to prevent people from trying to game the system by deliberately waiting until they're sick/injured before enrolling in coverage (thus driving up premiums for everyone else) and b) to goad people into actually taking action (deadlines do have a clear positive impact on enrollment). With the COVID-19 pandemic having thrown the entire healthcare system into disarray, neither of those seem to be much of a factor this year.

Maryland Connect, August 7th:

Back on July 31st, I wrote:

I've taken some amount of criticism from people who got the vapors and claimed that I was "politicizing" the pandemic, which is laughable in the Trump era, where everything has been politicized by the Trump Administration.

Cut to Vanity Fair, yesterday:

Six months into the pandemic, the United States continues to suffer the worst outbreak of COVID-19 in the developed world. Considerable blame belongs to a federal response that offloaded responsibility for the crucial task of testing to the states. The irony is that, after assembling the team that came up with an aggressive and ambitious national testing plan, Kushner then appears to have decided, for reasons that remain murky, to scrap its proposal.

The data below comes from the GitHub data repositories of Johns Hopkins University, execpt for Rhode Island, Utah and Wyoming, which come from the GitHub data of the New York Times due to the JHU data being incomplete for these three states. Some data comes directly from state health department websites.

A reminder that I made two important changes to the spreadsheet last week:

  • First, the Johns Hopkins Github archive has finally started breaking out New York City's data into the five separate boroughs/counties
  • Second, I've finally gone through and separated out swing districts. I'm defining these as any county which where the difference between Donald Trump and Hillary Clinton was less than 6 percentage points either way in 2016. There's a total of 198 Swing Counties using this criteria (out of over 3,200 total), containing around 38.5 million Americans out of over 330 million nationally, or roughly 11.6% of the U.S. population.

With these updates in mind, here's the top 100 counties ranked by per capita COVID-19 cases as of Saturday, September 12th (click image for high-res version). Blue = Hillary Clinton won by more than 6 points; Orange = Donald Trump won by more than 6 points; Yellow = Swing District

WATCH: Trump Fans Give CNN's Jim Acosta Jaw-Dropping Reasons Why They're Not Wearing Masks at Packed Rally https://t.co/hNcXv4KYfb pic.twitter.com/vuSEkPFO8s

— Tommy X-TrumpIsARacist-opher (@tommyxtopher) September 11, 2020

Around 5,500 Trump supporters showed up at an aircraft hanger in Freeland, Michigan (Saginaw County) to hear Donald Trump speak. The almost entirely white crowd may have been outside, but they were tightly packed and few were wearing masks. CNN's Jim Acosta (who did wear a mask properly, over both his nose and mouth) interviewed some of the attendees to ask why they weren't doing so, and the responses are...quite telling (click thru for the actual video):

Acosta: "Why are you guys not wearing masks?"

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