Today I analyze COVID19 data for my home state of Georgia. I thought it would be interesting because there is an anomaly. Let’s see the anamoly:
You see it? The largest density of cases does not match the largest density of population. We would expect most cases per 100K to be in the 9th largest metropolis in the US (Atlanta), but it’s not!
How could this be? What could cause such an anomaly?
It might have something to do with foreign labor? Georgia is the 2nd largest recipient of temporary agricultural H-2A visas in 2019 (Source). Trend:
There’s no data as to which counties migrant workers go to, but we can take a logical leap: The most agriculturally productive counties probably have the most migrant workers.
We would expect those counties with the largest share of agriculture to be those disproportionately affected by COVID19. Let’s see …
It’s not a perfect match, but I think there’s something to it. Maybe I am wrong, but I haven’t found a better explanation from my local media. In fact, the issue was not even addressed by anyone.
Other states also have low density counties with high COVID19 densities, but they seldom surpass the rates in their major metro areas. Georgia is anomalous in this regard.