Free Data
Through the Data for Academics program SafeGraph is forwarding our mission to democratize access to data. How is SafeGraph data powering academic research? Find the work done leveraging our data.
SafeGraph’s datasets include over 7 million consumer Points-of-Interest (POI) in the US & Canada which includes business listing information (like phone number, business category, open hours) and POI location info (lat/long, physical address, and building footprint).
Using an anonymized mobile GPS location data panel, we combined this with our POI data to create foot-traffic insights (visitor counts, dwell times, distances travelled, and visitor neighborhood origins) to these POI.
By signing-up for SafeGraph’s Data for Academics program you’ll receive:
If you're not an academic but interested in accessing the SafeGraph Community you can do so here.
Join our 9k+ community of researchers, data scientists & industry experts! Get access to SafeGraph location and foot traffic data that has been cited in over 600 published research papers.
...and more
Discover the latest ideas, tools, datasets, and concepts others are using
Learn from experts in our seminar series and be the first to hear about industry updates
Meet and collaborate with other data enthusiasts as we work together to solve global problems
Accelerate innovation by working with others and leveraging SafeGraph data
The community has a huge amount of information and assistance available for working with geolocation data. It's been very cool to see all the research and findings coming in, whether they're about COVID or anything else.
Assistant Professor of Economics, Seattle University
The community is a great place to develop research ideas and discuss and get feedback on findings.
Assistant Professor of Finance, University of Illinios
The ability to get feedback, find quick answers to questions, and to collaborate with like-minded people is extremely valuable.
PhD Candidate, University of Michigan
SafeGraph data is at the core of our data pipeline and plays an integral role in completing the customer journey from exposure to in-store visit, transforming OOH into a performance-based media.
SVP of Marketing & Innovation
SafeGraphPlaces help us more accurately create location-based audiences -- the result of this is more efficient ad spend for our clients.
Executive Director, JubaPlus (Media Storm's Data Science Group)
Since forecasting models are based on historical trends and data, they quickly became irrelevant when COVID-19 hit. We turned to SafeGraph Patterns foot traffic data to feed our models with an alternative data source representing demand signals that could radically improve downstream visibility and build greater trust with customers around our forecasting models.
We evaluated several sources of places data for the United States and found the SafeGraph data to be the best overall fit for Esri's requirements, given its relative currency, completeness, and accuracy.
ArcGIS Content CTO
The community has a huge amount of information and assistance available for working with geolocation data. It's been very cool to see all the research and findings coming in, whether they're about COVID or anything else.
Assistant Professor of Economics, Seattle University
The community is a great place to develop research ideas and discuss and get feedback on findings.
Assistant Professor of Finance, University of Illinios
The ability to get feedback, find quick answers to questions, and to collaborate with like-minded people is extremely valuable.
PhD Candidate, University of Michigan
SafeGraph data is at the core of our data pipeline and plays an integral role in completing the customer journey from exposure to in-store visit, transforming OOH into a performance-based media.
SVP of Marketing & Innovation
SafeGraphPlaces help us more accurately create location-based audiences -- the result of this is more efficient ad spend for our clients.
Executive Director, JubaPlus (Media Storm's Data Science Group)
Since forecasting models are based on historical trends and data, they quickly became irrelevant when COVID-19 hit. We turned to SafeGraph Patterns foot traffic data to feed our models with an alternative data source representing demand signals that could radically improve downstream visibility and build greater trust with customers around our forecasting models.
We evaluated several sources of places data for the United States and found the SafeGraph data to be the best overall fit for Esri's requirements, given its relative currency, completeness, and accuracy.
ArcGIS Content CTO
