Charts on the correlation between population density and covid-19 cases and deaths in Ontario.
More densely population regions tend to have more deaths per 100,000. The correlation exists but is not a very strong correlation, suggesting that other factors are more influential.
More densely population regions tend to have more deaths per 100,000. The correlation exists but is not a very strong correlation, suggesting that other factors are more influential.
Removing Toronto, the correlation is weaker.
Looking at cases, the situation is similar when comparing population density and cases (positive test results).
Removing Toronto, though, the correlation is even stronger.
So what conclusions to draw?
Density is perhaps not as important a variable as some might suggest when comparing outcomes by region (this may apply at an international level too).
However, it can't be ignored either. Cities and rural areas are not comparable.
Density is perhaps not as important a variable as some might suggest when comparing outcomes by region (this may apply at an international level too).
However, it can't be ignored either. Cities and rural areas are not comparable.
Forgot to cite sources in the charts so I'll add that Covid data is from the usual Ontario data page. Population and area statistics for pop density from Wikipedia.
This is only a draft and I probably won't update.
This is only a draft and I probably won't update.
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