SafeGraph Building Footprint Data | Dataset | Global Coverage
| # | safegraph_place_id |
parent_safegraph_place_id |
brands |
region |
iso_country_code |
polygon_wkt |
polygon_class |
includes_parking_lot |
is_synthetic |
building_height |
enclosed |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
| 3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
| 4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
| 6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
| 7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
| 8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
| 9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
| 10 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
| ... | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | zzw-225@5vg-7ms-v75 | Placekey | |
|
safegraph_place_id
|
String | sg:0a04d645f1794901a96fdf792cb50103 | |
| String | 222-22t@5yv-j89-g6k | Placekey | |
|
parent_safegraph_place_id
|
|||
| String | King's Thai Cuisine 2 | Location Name | |
|
brands
|
|||
| Float | 37.783208 | Latitude | |
| Float | -122.463099 | Longitude | |
| String | Address | ||
| String | San Francisco | City Name | |
|
region
|
String | CA | |
| Integer | 94118 | Postal Code | |
|
iso_country_code
|
String | US | |
|
polygon_wkt
|
String | POLYGON ((-122.46317201876984 37.78332936233446, -122.463... | |
|
polygon_class
|
String | SHARED_POLYGON | |
|
includes_parking_lot
|
Boolean | f | |
|
is_synthetic
|
Boolean | f | |
|
building_height
|
|||
|
enclosed
|
Boolean | f |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | 222-222@222-222-222 | Placekey | |
| String | Salinas Valley Ford Lincoln | Location Name | |
| String | Ford, Lincoln | Brand Name | |
| Float | 36.714767 | Latitude | |
| Float | -121.662912 | Longitude | |
| String | Address | ||
|
Polygon WKT
|
Polygon ((-121.66331045329571 36.715207502522354, …, -121... | ||
|
Polygon Class
|
OWNED_POLYGON | ||
|
Includes Parking Lot
|
false | ||
|
Is Synthetic
|
false | ||
|
Building Height
|
25 | ||
|
Enclosed
|
false |
Description
Geography
History
Volume
| 7.8 million | POI |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$0.05 / purchase |
| Monthly License | Not available |
| Yearly License |
$30,000 / year |
| Usage-based |
$0.05 / API call |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Datasets for Purchase
Related Products
Frequently asked questions
What is SafeGraph Building Footprint Data Dataset Global Coverage?
Point of Interest (POI) footprints and spatial hierarchy metadata. Available for ~22M POI (Geometry metadata not provided for closed POIs).
What is SafeGraph Building Footprint Data Dataset Global Coverage used for?
This product has 5 key use cases. SafeGraph recommends using the data for Audience Segmentation, Out-of-home (OOH) Advertising, Digital Out-of-home (DOOH) Advertising, Store Visit Attribution, and Risk Analysis. Global businesses and organizations buy Map Data from SafeGraph to fuel their analytics and enrichment.
Who can use SafeGraph Building Footprint Data Dataset Global Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Map Data. Get in touch with SafeGraph to see what their data can do for your business and find out which integrations they provide.
How far back does the data in SafeGraph Building Footprint Data Dataset Global Coverage go?
This Tabular Data has 3 years of historical coverage. It can be delivered on a monthly and on-demand basis.
Which countries does SafeGraph Building Footprint Data Dataset Global Coverage cover?
This product includes data covering 3 countries like USA, United Kingdom, and Canada. SafeGraph is headquartered in United States of America.
How much does SafeGraph Building Footprint Data Dataset Global Coverage cost?
Pricing for SafeGraph Building Footprint Data Dataset Global Coverage starts at USD0.05 per purchase. Connect with SafeGraph to get a quote and arrange custom pricing models based on your data requirements.
How can I get SafeGraph Building Footprint Data Dataset Global Coverage?
Businesses can buy Map Data from SafeGraph and get the data via S3 Bucket, UI Export, and REST API. Depending on your data requirements and subscription budget, SafeGraph can deliver this product in .csv format.
What is the data quality of SafeGraph Building Footprint Data Dataset Global Coverage?
SafeGraph has reported that this product has the following quality and accuracy assurances: 100% fill rates. You can compare and assess the data quality of SafeGraph using Datarade’s data marketplace. SafeGraph has received 17 reviews from clients. SafeGraph appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing and Top 10 POI Data Providers & APIs.
What are similar products to SafeGraph Building Footprint Data Dataset Global Coverage?
This Tabular Data has 3 related products. These alternatives include The Data Appeal Global Geographic Data API, Dataset 251M POI Data Mapped Coverage from 2019, SafeGraph Visit Attribution Data - US, UK, Canada POI and Business Listing Information with Building Footprints and Spatial Hierarchy Metadata, and Factori Point of Interest:POI Data Map Data Global Visitation Data. You can compare the best Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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