Data last retrieved: Mon Sep 21 23:01:20 MST 2020
US States
Total Tests/Population
Weekly New Tests/Population
Total Cases/Population
Weekly New Cases/Population
Total Test Positivity Rate
Weekly Test Positivity Rate
Total Fatalities/Population
Weekly Fatalities/Population
Total Case Fatality Rate
 
US Counties
Countries
Total Cases/Population
Weekly New Cases/Population
Total Fatalities/Population
Weekly Fatalities/Population
Total Case Fatality Rate
 

All data obtained from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University GitHub repository.

There is no guarantee of the accuracy of the data provided here. While many metrics are similar to what states are using for re-opening guidance, there can be differences in the details of the calculations or the dates in which the metrics are calculated. Please refer to your state's health department data for specific guidance. For example, general COVID-19 data from the Arizona Department of Health Services can be found here, while school opening specific data can be found here.

Data tables provide totals, total over past week, and average of last two weeks. Statistics include cases, fatalities, and fatality rate and can be viewed as raw values or per 100,000 population. For US states, statistics also include tests and positivity rate. All tables can be re-sorted by clicking on the column header.

Plots provide cumulative and previous-week totals. Worldwide plots show all countries with at least 1000 fatalities reported. Highlighted in color for the worldwide plots are the nine countries with highest previous-week death rates, as well as the USA. State-by-state plots show all 50 states plus the District of Columbia. Highlighted in color for the state-by-state plots are the nine states with highest previous-week positivity rate, as well as Arizona. Full-size plots can be viewed by clicking on the thumbnails. Vertical lines represent the first of each month.

Note that the statistics, especially weekly totals and two-week averages, can be artificially high or low based on adjustments in reporting standards, which can result in significant increases or decreases in statistics from one day to the next. The accuracy of the data is limited by the timeliness, accuracy, and consistency of the input data sources, which varies state to state and country to country.