The Source of Truth for Places Data

Organizations trust SafeGraph data to drive their business forward. Access the most accurate point of interest (POI) and foot traffic data on the market.


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SafeGraph Points-of-Interest Logo
Core Places
Over 8,200,000 high-precision points of interest.

View the data schema.
SafeGraph Patterns Store Insights Logo
Building footprints with spatial hierarchy for all POIs in the Core Places dataset.

View the data schema.
SafeGraph POI Data Matching Logo
Foot traffic insights for places derived from anonymized mobile devices.

View the data schema.

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The Most Accurate Points of Interest and 
Store Location Geofences for the U.S.

All of the signal, none of the noise
High Quality POI Data
Our customers trust SafeGraph data to be clean and free of unnecessary noise. Our algorithms work over-time to remove and filter out irrelevant POIs and errors in the data. Better data means better decisions for your business.

Visit our points of interest guide and FAQ to learn more. 
Attributes attached to a Place (POI)
detailed & accurate geometry
Precise Building Footprints
SafeGraph's geofences offer the most precise understanding in the market on where stores are located. Building footprints are derived from satellite imagery and places are spatially hierarchical. Polygons for sub-stores are specified and tied to their parent store Geometry - ex: a Starbucks inside a strip mall.

Visit the Places technical manual to learn more. 
Polygons (building footprints) represent spatial hierarchy of places.
"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."
Nick Huntington-Klein
Assistant Professor of Economics, Seattle University
"The community is a great place to develop research ideas and discuss and get feedback on findings."
Jialan Wang
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."
Dana Turjeman
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."
Nicholas Wooten
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."
Yoram Greener
Executive Director, JubaPlus (Media Storm's Data Science Group)

How We Create Our POI Database 

Data Ingestion logo
We onboard data from thousands of diverse sources. We compare, de-dupe, cross-reference, and discard bad data.
Polygon Drawing Logo
Our building footprints are derived from satellite imagery and supplemented with hand-drawn polygons.
POI Data Merging Logo
We use machine learning and human feedback to associate POI business listing info with building footprints.
Machine Learning Classification Logo
We algorithmically classify brands and denote spatial hierarchy. POIs (like restaurants) can exist within other POIs (like airports).
Benchmark Data Against Truthsets Logo
We leverage unique truth sets to continually improve the accuracy of our datasets.
Data Updated Monthly Logo
Data is updated monthly to account for store openings and closings.

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Preview and buy data or contact sales for enterprise pricing and data availability for other countries.