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.

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INDUSTRY LEADERS RUN ON SAFEGRAPH DATA

Core Places

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

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Geometry

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

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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.

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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.

"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

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"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)

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"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

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"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."

Shawn Carver

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"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."