According to the World Health Organization and the CDC, social distancing is currently the most effective way to slow the spread of COVID-19. We created this interactive Scoreboard, updated daily, to empower organizations to measure and understand the efficacy of social distancing initiatives at the local level.
Please scroll down and join the 3.9 million people (and counting) who have explored this data — the more we all understand, the more lives we can save together.
Curious about exactly what data is included in the Social Distancing set? View the full schema here — it includes state- and county-level data for both the pro bono and extended tiers.
In order to keep our Scoreboard as fresh and up-to-date as possible, we reduced our delivery time from 4 days to as little as 12 hours — without sacrificing quality, integrity, accuracy, or privacy.
Take the data for a test drive! Our sample, dated from April 17, includes every county in the states of Washington and Florida — click here to download a CSV flat file.
By popular demand, we're expanding our data beyond the United States to countries all over the globe. Contact us for details on where quality data is currently available.
Social Distancing is a complex behavior, and that’s why we’ve expanded our scoring to three different metrics, all of which are averaged to create the overall Social Distancing Score for each state or county.
A: >70% decrease
B: 55-70% decrease
C: 40-55% decrease
D: 25-40% decrease
F: <25% decrease or increase
A: >70% decrease
B: 65-70% decrease
C: 60-65% decrease
D: 55-60% decrease
F: <55% decrease or increase
A: >94%
B: 82%-94%
C: 74%-82%
D: 40%-74%
F: <40%
Unacast's robust team of data scientists and PhDs focuses on data accuracy to ensure that our partners and clients get high-quality insights that reflect real-world events.
Please consult our blog for a deep dive into our updated methodology (old methodology can be found here).
Data on reported cases of COVID-19 is sourced from:
• Corona Data Scraper (for county-level data prior to March 22)
• The Johns Hopkins Github Repository (for county-level data beginning March 22 and all state-level data)
Despite the urgency around COVID-19, privacy remains one of Unacast’s highest priorities. Please consult the privacy section of our website if you wish to learn more or opt out.
The dashboards on our website provide broad overviews of COVID-19 foot traffic patterns. Using our Real World Graph® we can provide specific insights and greater depth of detail for any industry, brand, or venue.
Get in touch to discover how location data can help your organization measure the impact of the virus.
Chat with our team to determine data strategies to tackle your particular challenges.
Use high-quality, curated data and human mobility insights to create reaction strategies and identify recovery signals.
Reach out to find out! One of our experts will contact you shortly.
