What can data tell us about the months when the world stood still?
The COVID-19 pandemic is a public health emergency around the world, with shelter in place orders and lockdowns temporarily reshaping how we live our lives.
What can data about transportation, the economy, education, climate, and other areas tell us about this unique period in time?
Listed in the table below are select data sources that may help us analyze what changed in our countries and cities during the periods of extreme social distancing as we collectively work to flatten the curve and slow the spread of COVID-19.
We made a deliberate decision to list peripheral data sources to explore what has happened in these months, not the case data. The COVID-19 case data is complex to analyze and model without subject matter expertise.
In order to filter and sort the data resource table below, download a copy here.
Excella is compiling this list of publicly available datasets about the timeline of policy changes, closures, and other events related to COVID-19; demographic and population statistics; and peripheral data about the environment, economy, transportation, and other related topics. It is not intended to be exhaustive, nor does Excella take responsibility for any issues related to data quality in the linked sources.