Points of Interest: Building Footprints - SafeGraph Places - US
Provided By: SafeGraph
Points of Interest: Building Footprints - SafeGraph Places - US
Provided By: SafeGraph
POI footprints and spatial hierarchy metadata for over 9 million places.
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Public offer
Payment schedule: Upfront payment | Offer auto-renewal: Supported
$150,000 for 12 months
Overview
SafeGraph Geometry - POI Data for Entire US
Short description:
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 globally. 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
- Our detailed Geometry is available online.
- Please refer to Places Data Manual for more detailed field definitions and methodologies.
- Our Places Summary Statistics is updated with every monthly release to reflect data coverage.
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 spend data for millions of locations globally. 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.
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
SafeGraph Core Places with Geometry - Entire US | Not included | US East (N. Virginia) |
Usage information
By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement or other agreement with AWS governing your use of such services.
Support information
Support contact email address
Refund policy
Refunds are not offered on this product. For questions or concerns, contact awsdata@safegraph.com.
General AWS Data Exchange support