Data Sources/Microsoft Building Footprints

Microsoft Building Footprints

AI-derived building footprints for over 1.2 billion buildings worldwide, free and open for GIS analysis.

Urban Planning

Plan urban development, zoning, and infrastructure improvements using land cover, demographic, and transportation data.

Infrastructure Development

Plan, monitor, and manage roads, utilities, and buildings using topographic, cadastral, and engineering data.

Humanitarian Aid

Coordinate disaster relief, refugee support, and development programs using population and crisis data.

Microsoft Building Footprints is the broadest-coverage open building dataset available, spanning nearly every country with over 1.2 billion polygons derived from deep learning on Bing Maps aerial imagery. Where Google Open Buildings focuses on Africa, South Asia, and Southeast Asia, Microsoft provides the only free AI-generated building footprints for North America, Europe, Latin America, and Oceania — making it the default choice when you need global or multi-regional building data under a single consistent methodology.

The data is geometry-only (outlines, confidence scores, and area), so it serves a different purpose than attribute-rich sources like OpenStreetMap: it tells you where buildings are and how large they are, not what they're used for.

The practical value of complete building coverage at this scale is that it turns buildings into an analytical layer rather than just a reference map. Aggregate footprints by grid cell and you get settlement density maps for population estimation. Compare footprints across time periods and you can track urban expansion. Overlay with flood zones, seismic hazard, or wildfire risk and you can estimate structural exposure.

For countries without cadastral records or comprehensive property databases, Microsoft footprints may be the only building-level spatial data available — which is why humanitarian organizations, development banks, and disaster response teams have adopted it for electrification planning, damage assessment, and infrastructure gap analysis. The data also feeds into the Overture Maps Foundation and pairs well with OpenStreetMap for attribute enrichment in regions where OSM has strong volunteer coverage.

Frequently Asked Questions

Over 1.2 billion building footprints globally, including 130+ million in the United States and 500+ million in Africa.

Deep neural networks were trained to detect buildings in Bing Maps aerial imagery. The output is individual building polygons with confidence scores, not just centroids or bounding boxes.

Yes. The data is released under the Open Data Commons Open Database License (ODbL), which allows commercial and non-commercial use with attribution.

No. The dataset contains only building outlines (polygons), confidence scores, and area. For attribute-rich building data, OpenStreetMap is a better source in well-mapped regions.

Microsoft has broader global coverage. Google Open Buildings focuses on Africa, South Asia, and Southeast Asia with higher building counts in those regions. Microsoft provides data for North America, Europe, and other areas that Google doesn't cover.

Details

CoverageGlobal
Layer TypeVector (polygons)
Update FrequencyPeriodic updates
Categories
Mapping
Visit sourceUse data in Atlas

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