COVID-19 Insights: How are communities already facing hardship impacted by COVID-19?
The data is clear--COVID-19 disproportionately impacts minority communities across the country.
We, at Metopio, want you to be safe and healthy.
While communities are implementing the necessary precautions to help prevent the spread of COVID-19, critical healthcare providers and certain businesses must remain open.
We are constantly updating Metopio’s curated data sets to offer opportunities to understand how the places and populations you care about are impacted. This analysis takes a look at communities using the Hardship Index.
What is the Hardship Index? It is a composite score reflecting hardship in the community across multiple variables where higher scores indicate greater hardship. The index incorporates unemployment, age dependency, education, per capita income, crowded housing, and poverty into a single score that allows comparison between geographies.
This scatterplot shows a highly significant relationship: as the COVID-19 case rate per 100,000 residents increase, so does the Hardship Index, across all ZIP codes in IL. A scatterplot simply shows the relationship between two sets of data along an x and y axis.
Click on or hover over a bubble on the scatterplot to see the corresponding place on the map. Data for COVID-19 cases come from the Illinois Department of Public Health.
What this means is living in a zip code with a high Hardship Index score has a clear effect on the COVID-19 case rate when holding some variables constant, like income, education, and demographics. Simply put, the scatterplot shows how two variables relate to each other when isolated from others in the model. This gives you a clearer picture.
Living in a zip code with a high Hardship Index score isn’t predictive alone. While there is a very strong correlation, some of the majority Hispanic and Latino zip codes in Chicago that have high Hardship Index scores also have lower case rates like Little Village and Back of the Yards.
This is worth further investigation. There could be additional factors in majority African American communities driving higher case rates or perhaps lower testing rates in the majority Hispanic and Latino communities are the difference.
Check back as we access more data and dig deeper to provide you with these valuable insights.
Do you have data that would enhance this analysis?
Metopio aggregates high-quality, verified data that has some geographic component - think address or any part thereof - to develop insights that inform your business and policy decisions.