This data publication provides the OpenBuildingMap dataset, organized per zoom-level 6 Quadkey. The dataset provides information about the occupancy and height of individual buildings. The main purpose of this data collection is risk assessment for natural hazards, however it can be used by anyone in need of a building exposure dataset.

Buildings play a critical role in understanding human settlement patterns and are essential for applications such as crisis management, urban planning, energy efficiency, and multi-hazard risk assessment. To address the need for comprehensive and accessible global building data, we introduce a dataset containing 2.7 billion building footprints, enriched with structured attributes such as occupancy type and height information classified using the GEM Building Taxonomy. This dataset is derived from the integration of the AI-derived Open Buildings and the Global ML Building Footprints datasets, and the crowdsourced OpenStreetMap, hence creating the most detailed and extensive building dataset to date. The quality of the dataset has been researched using intrinsic quality checks and external reference datasets, including cadaster data and the Global Human Settlement Layer. It is provided as a GeoPackage, to ensure it is easily accessible.

This work has received funding from the European Union thought the Geo-INQUIRE project (GA 101058518), within the Research Infrastructures Programme of Horizon Europe.