COVID-19 and place-based disparities by ZIP code

The scatterplot below shows the relationship at the ZIP code level between an indicator of COVID-19 burden and an indicator of community characteristics, such as population race/ethnicity, chronic disease, or unemployment. Each dot in the scatterplot is a ZIP code. Hovering the cursor over a dot shows which ZIP code it is and the values of the COVID-19 indicator (X axis or horizontal line) and the community characteristic (Y axis or vertical line).

The plot below shows the correlation coefficient for each pair of indicators chosen. The correlation coefficient, a decimal number between 0.00 and 1.00, is a statistical measure of the strength and direction of the relationship between two indicators. The higher the number, the stronger the relationship. If the direction is positive, then as one indicator increases, the other increases, too. If it’s negative, then as one indicator increases, the other decreases – an inverse relationship. It’s important to remember that correlation doesn’t say anything about causation. A positive relationship between two indicators could be completely coincidental, or it might be one indicator driving the other, or it might be both indicators being driven by some other factor.

PLEASE NOTE that COVID-19 data is as of November 2022, the most recent published to data.sanantonio.gov. The hospitalization indicator has been removed from the visualization entirely, as CI:Now has been unable to secure COVID-19 hospitalization data from local sources since November 2020.

View a brief video overview of the tool

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Download the data dictionary (data download button is in the visualization itself)