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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INDUSTRY LEADERS RUN ON SAFEGRAPH

The Source of Truth for Places Data To Fuel Innovation & Growth

World class organizations trust SafeGraph data to drive their business forward. Access the most accurate and widely adopted point-of-interest (POI) dataset of business listings and store visitor insights.

Preview Data Contact Sales

INDUSTRY LEADERS RUN ON SAFEGRAPH DATA

Core Places

Over 8,200,000 high-precision points of interest.

View the data schema.

Geometry

Building footprints with spatial hierarchy for all POIs in the Core Places dataset.

View the data schema.

Patterns

Foot traffic insights for places derived from anonymized mobile devices.

View the data schema.

Core Places

Over 6,400,000 point-of-interest locations where consumers spend time or money.

View the data schema.

Geometry

Building footprints with spatial hierarchy for all POIs in the Core dataset.

View the data schema.

Patterns

Foot-traffic insights for places derived from anonymized mobile devices.

View the data schema.

Preview data in the SafeGraph Data Shop

Start your search to preview, browse and download Places POI data today.

Locations

Brands

Categories

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.
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Visit our points of interest guide and FAQ to learn more.

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."