SafeGraph: Free Foot Traffic Data Sample: US Starbucks locations
Mobility and foot traffic insights for all Starbucks locations in the US.
Foot Traffic Patterns is a dataset containing aggregated foot traffic metrics to individual point of interest (POI), including visits and unique visitors, where else they also visit, median distance from home, median dwell time and more. This free dataset includes patterns for January, February, & March of 2020 for Starbucks locations across the US. Dataset contains patterns for more than 11,000 POI. This dataset is also available for download in all regions.
-Other brands visitors went to on the same day
-Visits by day
-Distance from home
-Date range (start-end)
-Bucketed dwell time
-Raw visitor counts
-Popularity by day/hour
All SafeGraph POI-based datasets utilize Placekey as the primary key and are formatted as delimited CSVs. SafeGraph updates the Places dataset every month with the past month’s openings and closings and maintains a persistent Placekey across releases. Our detailed Core Places Schema(1) is available online. Additionally please refer to Places Data Manual(2) for more detailed field definitions and methodologies. Our Places Summary Statistics(3) is updated with every monthly release to reflect data coverage.
Our documentation site includes detailed information for all of our products, but this product listing specifically only includes the Patterns data set.
(1) Patterns Schema: https://docs.safegraph.com/docs/monthly-patterns
(2) Places Summary Statistics: https://docs.safegraph.com/docs/places-summary-statistics
About the Provider:
SafeGraph is a global geospatial data company that offers any data on any place in the world. Customers like Esri, Tripadvisor, Mapbox, and Sysco use SafeGraph data to better understand their customers, create new products, and make better decisions for their business.