(Logarithms make it easier to see growth rates instead of raw numbers. Find out more at A Different Way to Chart the Spread of Coronavirus or How to read a log scale. Note that I'm using log 2 not log 10 as in the NY Times because I'm interested in tracking doubling.

Infrastructure provided by Digital Ocean.

Massachusetts COVID-19 Data

To see additional current data, go to the Mass. Department of Health website



Massachusetts Known COVID-19 Cases by City/Town as of July 29

Percent positive is for the previous 14 days. In positive rank, a higher number (i.e. 300 or more) is a preferred data point.

Massachusetts Known COVID-19 Deaths

Massachusetts Known COVID-19 Cases vs Total Tests

Note: Some private labs were only reporting number of positive results until March 23, so total number of tests before then was higher than reported.


Massachusetts Known COVID-19 Hospitalizations

Massachusetts Known COVID-19 Cases by Age Group

Percent of total cases vs Percent of total population by age


Total number of cases by age group

 
Download data

Most of this data come from the Massachusetts Department of Public Health Web site. You can go there now to see the latest official state dashboard. Some historical data, including deaths, comes from the New York Times GitHub repository.

Massachusetts changed its data-reporting format on April 20, so I am no longer able to report detailed demographics of fatalities.

As with all U.S. Covid-19 data, these tables and graphs are undercounting the actual number of cases. That's due to the inadequate testing. While testing rates have improved, some cases are still being missed.

We also didn't know how many tests have been performed in Massachusetts until March 23. Before then, some private laboratories were only reporting positive results. That meant the total number of tests was somewhat higher than being reported.

This application was created by Sharon Machlis with the R programming language and R packages shiny, data.table, ggplot2, plotly, leaflet, DT, and glue, among others. It wouldn't have been possible without the incredible contributions of the R core team and R package authors to make this free platform possible. (Any and all errors in the data presentation are, however, mine alone.)

Infrastructure provided by Digital Ocean.