McKinsey & Company has released a bivarate map which visualizes both the percentage of the population in every county who have received a Covid-19 vaccination and the number of active cases of Covid-19 in each county. Because McKinsey's Covid-19 Vaccine Distribution map is a bivarate choropleth visualization it should help reveal if vaccinating people against Covid-19 is helping to reduce the numbers of people becoming infected from the the virus.
A bivarate map visualizes two (or more) variables on one map by using different colors to represents relationships between the variables. On McKinsey's map the color blue represents a county with a high vaccination rate and also a high number of active coronavirus cases. The color red represents counties with a low percentage of the population vaccinated but with a high rate of coronavirus. Therefore we would expect to see a lot of blue colored counties if vaccinations weren't working in reducing the spread of Covid-19.
The turquoise color on the map shows counties with high vaccination rates and low numbers of active Covid-19 cases. If vaccinations work we should begin to see more and more counties colored turquoise as the majority of their population becomes vaccinated. McKinsey's Covid-19 Vaccine Distribution visualization includes a bivarate chart which also makes clear that a huge number of the counties in the United States with a large number of active coronavirus cases are also the counties with lower levels of vaccinations.
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