US Covid Atlas

In a quickly changing pandemic landscape, access to current, validated county-level data and analysis is crucial to understanding needs and supporting planning efforts. County-level visualizations and analytics reveal a more detailed pandemic landscape with local hotspots of surging COVID cases that are missed by state-level data.



Explore the Atlas


Find our Latest Research Brief and Summary Stats Here.

This atlas is in constant development by the Center for Spatial Data Science at the University of Chicago, with collaboration from the UW-Madison Data Science Institute. County-level data sources include 1P3A but will soon be updated with Covidtracker, USAFacts, and health department validations.


Atlas Features



Interactive Exploration


Our COVID-19 choropleth and local clustering map of the US allows for spatiotemporal visualization of the spread of COVID across the country by the state or county level. Explore total counts or rates for both prevalence and deaths due to COVID. More Details

On the Map:

  • Click on the Data you're interested in exploring with the data dropdown menu (eg. confirmed cases per 1 million persons), and then click on the map type, either Choropleth or Local Clustering.
  • Higher counts or rates appear dark red, and lower counts or rates appear orange or yellow (or gray if there is no prevalence). Hot spots appear red, and cold spots appear blue.


Change Over Time

In order to understand the distribution and spread of COVID in the US throughout the pandemic, visualizing temporal changes is beneficial. Witnessing COVID around the US as the pandemic progresses is especially useful to analyze patterns of the spread for resource distribution. More Details

On the Map:

  • Click on the Data you're interested in exploring, and then use the All Cases Slider to select a date of interest.
  • Move the slider from left to right to visualize day to day changes.


COVID Clusters


We show COVID-19 hot spots two ways: 1) using the total number of confirmed cases, and 2) adjusting for population. Because of the infectious nature of COVID, high numbers of cases anywhere will be of concern. At the same time, identifying areas that have a disproportionately high number of cases within the population is necessary to locate areas hit hardest by the pandemic. More Details

On the Map:

  • Click on the Data you're interested in exploring, and then click on Local Clustering.
  • Hot spot clusters appear red.


Emerging Risk

While clusters are groups of counties that have a high number of cases that are neighbored by counties with a high number of cases, outliers are areas that have a high number of cases within the county and fewer cases in neighboring counties. Counties that are outliers highlight an emerging risk, indicating potential priorities for containment. More Details

On the Map:

  • Click on the Data you're interested in exploring, and then click on Local Clustering.
  • Spatial outliers appear pink.