Note: Google recently started publishing raw CSV data for this, and following it is recommended for all future updates.
This project would still continue update sources, but it might not be as realtime.
Google Mobility Reports show aggregate activity in each country, and how it changes in response to policies aimed at combating COVID-19. However, it is only published as a PDF and the data isn't available in a machine-readable format that could enable more richer analysis.
This is an effort to reverse-engineer the PDFs into vectors and ultimately into time-series data available as a JSON Rest API.
Country level JSON is available for use at –
https://pastelsky.github.io/covid-19-mobility-tracker/output/<ISO-COUNTRY-CODE>/mobility.json
For eg India: https://pastelsky.github.io/covid-19-mobility-tracker/output/IN/mobility.json
US state level JSON is available at –
https://pastelsky.github.io/covid-19-mobility-tracker/output/US/<US-STATE-CODE>/mobility.json
For eg: New York: https://pastelsky.github.io/covid-19-mobility-tracker/output/US/NY/mobility.json
If you prefer to use CSVs instead, you can go to -
https://pastelsky.github.io/covid-19-mobility-tracker/output/<ISO-COUNTRY-CODE>/mobility-<social-place>.csv
Where social place is one of parks
| residential
| retail-and-recreation
| transit-stations
| workplaces
| grocery-and-pharmacy
For eg. parks data for India in CSV - https://pastelsky.github.io/covid-19-mobility-tracker/output/IN/mobility-parks.csv
For US states, just add the state code after the country code.
Each data element consists of date
and value
(which represents mobility change in percentage)
- Expected error range is ±2%, though errors in activity percentanges should be rare given the methodolgy used to extract data.
- As of now, this only indexes country-level data and US state level data. State / Province level breakup for other countries is yet to be added.
- Data sources will be updated once / day and is incumbent upon google publishing updated reports
- It assumes that the same scale (-80% to +80%) is used in all PDFs and they are structured similarly.
-
Run
yarn install
to install dependencies. -
Install
Inkscape 1.1-dev
for your OS, and make sure theinkscape
is available as in your path as a command line utility. You can test this usinginkscape --version
-
Run
yarn build
to begin downloading reports form google, and parsing it into theouput
folder.
All data made available for use is by taken from Google Mobility Reports. This project does not claim any ownership over this data, and is not reponsible for guaranteeing accuracy of this data.