DATASETS

Points of Interest

Points of interest is a wide-ranging geospatial dataset of millions of real-world points of interest such as schools, businesses, hospitals, landmarks, mountain peaks, and more. In July 2024, the Overture Maps Foundation released the first layer of the points of interest dataset to general availability, which included data on over 59 million places worldwide and is a foundational element of navigation, local search, and many other location-based applications.
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Overture points of interest data, styled by data source: purple for Meta, orange for Microsoft.
Overture points of interest data, styled by data source: purple for Meta, orange for Microsoft.
ABOUT THE DATASET

Overview

Key Features

Points of Interest
Overture Maps Foundation's points of interest data layer includes nearly 60 million points of interest records that have not previously been released as open data. This dataset, currently derived from data contributed to the Overture Maps Foundation by founding members Meta and Microsoft, provides a significant baseline of worldwide places data.
Data Format
All OMF data, including the points of interest dataset, is distributed as GeoParquet, a column-based data structure. Documentation featuring a column-by-column description of the properties in the points of interest dataset can be found here.
Points of Interest image
RESOURCES

Using Points of Interest

Points of interest is available in cloud-native Parquet and stored on AWS and Azure. Users can download it by following the process outlined on GitHub.
To quickly view and download modest amounts of data, you can use the Overture Maps Explorer website. To download data: Pan to the area you are interested in, turn off the other layers, then click Download Visible. This will download the area visible on your screen.
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Overture Maps Explorer
The Overture Maps Foundation was established as a collaborative effort to help make maps online more accurate, unified, and interoperable. Data releases from OMF are focused on creating unified data across Addresses, Base Layer, Building Footprints, Points of Interest, Divisions, and Transportation Networks to combine the best available open data from various sources. Check out this press release for more details on why and how the OMF was formed.
RESOURCES