Building Footprint Data for Entire US - SafeGraph Places

SafeGraph Geometry - POI Data for Entire US

Short description:

POI footprints and spatial hierarchy metadata for over 9 million places.

Long description:

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.

• 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

• 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.

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

• If you have questions about our products, contact us in the SafeGraph Community  for support.

SafeGraph is a geospatial data company that curates high-precision data on millions of places around the globe. Our datasets provide detailed, accurate, and up-to-date information on points of interest and how people interact with those locations. Our mission is to build the highest-quality places data and make it available to all. That’s why leaders from large organizations like Sysco, Domino’s, Clear Channel, and Avison Young, as well as non-profits and universities, rely on SafeGraph data to feed their data science models, research, and decision-making. To learn more and instantly download data, visit: safegraph.com