The Source of Truth for POI Data & Business Listings

Unlock innovation with the most accurate points of interest (POIs), business listings, building footprints, and store visitor insights data for global places.

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Industry Leaders Run on Safegraph Data

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Places

Business listing and building footprint data for over 8MM global POIs. Covers locations for major retail chains, shopping malls, convenience stores, airports, warehouses, & more.
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Patterns

Store visitor analytics, foot traffic counts, and demographic insights data for POIs in the US and Canada. Answer questions such as: how often do people visit stores, where did they come from, & where else do they shop?
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Match

Seamlessly integrate your existing data with SafeGraph's detailed Places data. Just upload a CSV of addresses or coordinates and instantly enrich your database.

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.

How We Create Our POI Database 

Data Ingestion logo
Ingest
We onboard data from thousands of diverse sources. We compare, de-dupe, cross-reference, and discard bad data.
Polygon Drawing Logo
Draw
Our building footprints are derived from satellite imagery and supplemented with hand-drawn polygons.
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merge
We use machine learning and human feedback to associate POI business listing info with building footprints.
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classify
We algorithmically classify brands and denote spatial hierarchy. POIs (like restaurants) can exist within other POIs (like airports).
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verify
We leverage unique truth sets to continually improve the accuracy of our datasets.
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REPEAT
Data is updated monthly to account for store openings and closings.
“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.”
Deane Kensok
Deane Kensok
ArcGIS Content CTO
KPMG
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OUR mission IS TO DEMOCRATIZE ACCESS TO DATA FOR EVERYONE

Let Us Know If Or How We Can Help

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