POI footprints and spatial hierarchy metadata for over 9 million places.
Long description:
Geometry - Entire US
SafeGraph’s Geometry data provides POI footprints and spatial hierarchy metadata for over 9 million places. They map the size and area of physical locations for the POIs in their datasets using polygons. This includes data for understanding location boundaries and relationships. Available for POIs in the US, Canada, and Great Britain. Covers locations for major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more.
Location name
Postal code
Latitude and longitude
Polygon or shape of place, formatted as Well-Known Text (WKT)
Polygon class
Building height
Covers locations for public and private companies, major retail chains, local businesses, convenience stores, hotels, airports, schools, hospitals & more. Dataset contains more than 9.6MM United States POI across all categories and over 5,500 recognized brands.
Noisy locations are removed (ATMs, Redbox kiosks, etc.). Closed stores and irrelevant businesses (like home-based LLCs with no employees) are filtered out.
Use Cases and Guides
Here is a demo Databricks notebook(.dbc download here) that shows examples of the powerful analytics that are possible using SafeGraph Patterns data, SafeGraph Core Places, and Open Census Data.
Even though our documentation site includes detailed information for all of our products, this product listing specifically only includes the Geometry data set
Additional Information
All SafeGraph POI-based datasets utilize Placekey as the primary key and are formatted as delimited CSVs.
SafeGraph updates the dataset every month with the past month's openings and closings.
Dataset covers all of US.
Dataset is delivered as set of CSV files.
Data channels: web devices, mobile devices, offline purchases, commercial/non-commercial data, B2B data, GPS data
Example Fields
Column Name | Description | Type | Example
----|-----
placekey | Unique and persistent ID tied to this POI. See the Places Manual for details on placekey design. | String | 222-222@222-222-222
safegraph_place_id | Unique and persistent ID tied to this POI (to be retired in favor of placekey). | String | sg:64d0ee4695af4ab4906fe82997ead9ff
parent_placekey | If place is a tenant / sub-store inside a larger place (e.g. mall, airport, stadium), this lists the placekey of the parent place, otherwise null. See more on parent-child relationships in the Places Manual| String | 223-223@222-222-222
location_name | The name of the place of interest. | String | Salinas Valley Ford Lincoln
safegraph_brand_ids | Unique and consistent ID that represents this specific brand. | List | SG_BRAND_80ca06abfa1a5104af9a770f485dad07, SG_BRAND_aa45997477591e27601c436bcb228d6f
Brands | If this POI is an instance of a larger brand that we have explicitly identified, this column will contain that brand name. This is an easy way to, for example, unambiguously select Target stores in the USA. A POI may have multiple brands, as in a new car dealership that sells Ford and Lincoln cars. | List | Ford, Lincoln
Need Help?
If you have questions about our products, contact us in the SafeGraph Community for support.
About SafeGraph
SafeGraph is the source of truth for data on physical places. We provide points of interest, building footprint, and foot traffic data for over 8 million locations in the United States, United Kingdom, and Canada. With coverage of over 6,900 brands, SafeGraph’s POI database includes core attribution for a physical place, like latitude/longitude, open/close time, and NAICS code. Highly-specific geometry for our POIs reveals building relationships for accurate proximity analysis and geofencing. Our foot traffic insights are created from aggregated and anonymized mobile location data to deliver mobility insights without PII. Organizations across industries leverage SafeGraph data into their market analytics, investment research, site selection, and more.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract dimension called Product Access (Units). You pay one price to gain access to the building footprint dataset for the entire US. Pricing follows a contract model rather than pay-per-use, so you commit for the term instead of paying per query or record pulled. The dataset delivers building footprint polygon data, mapping the actual shape and boundaries of each location. There are no separate tiers, instance sizes, or usage add-ons to combine. Your access covers the dataset and monthly updates for the duration of your contract term.
Top-of-mind questions for buyers
What does one unit of Product Access actually grant me?
One unit grants your subscription access to the building footprint dataset covering the entire US. The unit represents dataset access for the contract term, not a count of records, queries, or polygons. You receive the full dataset rather than paying per location or per polygon pulled.
Does my cost change if I query or download more polygons during the term?
No. This is a contract model, not pay-per-use. Your price is fixed for the term regardless of how many polygons you query or download. There are no overage charges, per-record fees, or usage thresholds that trigger extra cost within your access period.
How does the contract model differ from a pay-per-use approach for this data?
The contract model charges one fixed fee for dataset access across the term. Pay-per-use would meter each query or record. Here you commit upfront and pull data freely. This suits teams needing continuous access rather than occasional lookups. You also receive monthly data updates during the term.
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Vendor refund policy
Refunds are not offered on this product. For questions or concerns, contact awsdata@safegraph.com.
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