March 21 US Confirmed Coronavirus Cases
Saturday saw a bit of a slowdown in the number of new cases, an increase of 36.5% over Friday's numbers, whereas Friday saw an increase of 40%. I can't take too much solace from this decline, however; not, at least, until Tuesday, as I suspect there has been a slowdown of testing over the weekend. Certainly here in Harris County the private testing locations are shut down for the weekend, though the city-run facility is open (but only opened two days ago). I still suspect we have a lot of catching up to do with regard to testing.
So, let's take a look at the day-to-day infection rate chart I've created. Before I show it to you, I will mention that I have removed two jurisdictions from the chart: American Samoa and Northern Mariana Islands. I have yet to see any results from those jurisdictions and at this point unless they start reporting cases there doesn't seem to be any point to showing them. I have stripped them from the entire chart, so they will no longer show up on the earlier days either, to keep the data consistent.
This marks the first day we haven't added a new column, but New York came within half a point of needing it.
Taking a look at the states, I've added an ordinal column to make viewing the levels more comprehensible.
The main takeaway from this list is pretty much the same as the bell-curve chart shows: There is no place that doesn't have coronavirus. One other notable observation: Guam has shot up to 6th place in the number of cases per 100,000.
There's a lot more interesting stuff going on at the county level. First, I've added yet more counties. I added a couple more ski resort counties in Colorado: Gunnison and Summit Counties, home to Crested Butte and Brekinridge ski resorts respectively. I've added more counties in Florida and broken out some Georgia counties, as well, and I've added DC to the counties list as well since it functions much like a county and the comparison is apt. Here's the list:
There are a number of interesting observations to be made here:
So, let's take a look at the day-to-day infection rate chart I've created. Before I show it to you, I will mention that I have removed two jurisdictions from the chart: American Samoa and Northern Mariana Islands. I have yet to see any results from those jurisdictions and at this point unless they start reporting cases there doesn't seem to be any point to showing them. I have stripped them from the entire chart, so they will no longer show up on the earlier days either, to keep the data consistent.
This marks the first day we haven't added a new column, but New York came within half a point of needing it.
Taking a look at the states, I've added an ordinal column to make viewing the levels more comprehensible.
The main takeaway from this list is pretty much the same as the bell-curve chart shows: There is no place that doesn't have coronavirus. One other notable observation: Guam has shot up to 6th place in the number of cases per 100,000.
There's a lot more interesting stuff going on at the county level. First, I've added yet more counties. I added a couple more ski resort counties in Colorado: Gunnison and Summit Counties, home to Crested Butte and Brekinridge ski resorts respectively. I've added more counties in Florida and broken out some Georgia counties, as well, and I've added DC to the counties list as well since it functions much like a county and the comparison is apt. Here's the list:
There are a number of interesting observations to be made here:
- The Manhattan infection rate is astonishing. We can now speak in percents, as 0.5% of Manhattanites are testing positive.
- The ski resorts are almost all testing at very high rates.
- There are two counties in Georgia with high infection rates: Bartow and Dougherty. Bartow is in the northwest of the state, and some of the communities there are considered distant suburbs of Atlanta. It is a bit whiter than the rest of the state, and roughly in the middle of income. Dougherty County is in the southwest of the state, very rural, very black, and relatively poor. Most of the places where there is a fair amount of Coronavirus in the US have lots of travel, whether for business and/or tourism. But I cannot figure out why these two counties would have such high rates of Covid-19.
- Florida's tourist counties are lower than Alachua, home to the massive University of Florida.
- In Michigan Detroit has passed the wealthy Oakland County suburbs in the rate of infection.
- Again, we keep hearing about how bade California is, but there are many worse areas.
My list of the ten hardest-hit communities (by rate of infection, not absolute numbers):
- New York City (plus suburbs, including Bergen County NJ)
- The ski resort communities (despite their geographic spread, I think it makes sense to lump them together).
- New Orleans
- Seattle
- Dougherty County, GA
- Bartow County, GA
- Detroit
- Nashville
- Washington, DC
- Bay Area, CA
Stay safe, everyone. This thing is real.
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