Reopen Readiness Metric Tracker
As state and local governments seek to safely re-open businesses and public spaces, various organizations and government agencies have recommended a number of data-driven criteria to guide them. These have included, for example,
a maximum number of new daily cases per million people, with 20-40 per million per day considered manageable1;
a decline in new cases over the previous 14 days2;
a maximum share of tests that come back positive, with 10 percent or less indicative of sufficient testing3; and
flat-to-declining positive tests as a share of total tests4.
The map and charts below display continually updated data on these metrics. Click a state to zoom in to county-level data. Clicking a county zooms back out. Hover on a state or county to view details and trend charts. (State estimates generally conceal substantial county variation.)
State & County Level
1. Wall Street Journal, citing Resolve to Save Lives' proposed threshold of 40 new cases per day per million; see: Center for American Progress, suggesting levels of approximately 20 new cases per million per day and declining; see also: Institute for Health Metrics and Evaluation with the most conservative recommendation of 1 case per million
2. White House, AEI, Heritage Foundation
3. World Health Organization, see also: NPR
4. White House, Resolve to Save Lives
5. Achieved by remaining under 40 new daily cases per million over the past 7 days.
6. Achieved by comparing number of additional daily cases in the latest 7 days to the previous 7 days over the 14-day period.
7. Achieved by consistently remaining under the 10% threshold for positive tests as a share of total test over the past 7 days.
8. Achieved by comparing the average percent of daily positive tests as a share of total daily tests in the latest 7 days to the previous 7 days over the 14-day period.
9. Note that there is sometimes a delay of reporting which can make an entire state appear to have no new cases in the previous day; these generally appear by the next data update. Additionally, cumulative cases are sometimes revised down at the state and county levels, resulting in a negative change between days. Data from counties may not add up to state level changes due to unassigned and revised cases that are not mapped. New Cases per Million, New Cases, and Cumulative Cases are calculated at the state and county levels using the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. Population data from the Census Bureau (5-Year 2014-2018 data from ACS) is used in calculating New Cases per Million and the percent of the population tested. Data on daily and cumulative deaths are from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. Hospital bed occupancy data is from the CDC's National Healthcare Safety Network, updated every Wednesday. Data used to determine the percent of the population tested and the state-level 4-point checklist is from The Covid Tracking Project at the Atlantic. Data used to determine the county-level 2-point checklist is from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University.
10. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University The JHU CSSE COVID-19 Dataset additionally counts New York City data collectively in New York County, with numbers combined from neighboring counties considered part of the city. Kansas City, MO data is listed separately, comprising 1,219 cumulative cases as of 6/1/20, with no FIPS code equivalent.
11. The COVID Tracking Project at The Atlantic