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.

SafeGraph Geospatial Datasets on Places
INDUSTRY LEADERS RUN ON SAFEGRAPH DATA
SafeGraph Points-of-Interest Logo
Core Places
Over 6,400,000 point-of-interest locations where consumers spend time or money.

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

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

View the data schema.

The Most Accurate Point-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 point-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.
POI Data Merging Logo
merge
We use machine learning and human feedback to associate POI business listing info with building footprints.
Machine Learning Classification Logo
classify
We algorithmically classify brands and denote spatial hierarchy. POIs (like restaurants) can exist within other POIs (like airports).
Benchmark Data Against Truthsets Logo
verify
We leverage unique truth sets to continually improve the accuracy of our datasets.
Data Updated Monthly Logo
REPEAT
Data is updated monthly to account for store openings and closings.

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.