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Relationship Between Population Size and COVID-19 Test Positivity Rates in California Counties Based on Data from 02-28-21 to 03-06-21

Source: California Department of Public Health (CSV).
  • Scatter plot analysis indicates no clear correlation between population size and test positivity rates for COVID-19, suggesting that the spread of the virus is not solely determined by population density.
  • Counties with both extreme high and low population counts demonstrate a wide range of test positivity rates, signifying that other factors in addition to population size influence COVID-19 transmission.
  • Variation in testing rates and tier assignments across the counties suggests that a multitude of regional factors, including public health measures, affect the test positivity rates.
  • Limitations of the analysis include a short timeframe and that no historical comparison could be made to assess trends over time due to data being from a single week.

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