Dataset overview

EUBUCCO — A harmonized European building stock database

Building footprints integrated from 55 governmental cadastres, OpenStreetMap, and Microsoft, enriched with harmonized building height, floor count, use type, subtype, and construction year attributes, with source provenance and uncertainty estimates.

322M+individual buildings
100%coverage of 4 core attributes
55authoritative datasets harmonized
30countries · EU-27 + UK, NO, CH
Preparing 3D view…
Schema · sources · attributes 

Data schema

The core fields of every building record. For schema details see the docs →

Identifiers
idunique ID
region_idNUTS3 code
city_idLAU code
Attributes
typebinary use type
subtypedetailed use
heightmeters
floorscount
construction_yearyear
Geometry
geometryWKB, EPSG:3035
Provenance
geometry_sourceorigin dataset
geometry_source_idsource record ID
<attr>_sourceorigin dataset
<attr>_source_idssource record IDs
<attr>_confidenceuncertainty

Source composition across Europe

Per-region composition of governmental registries, Microsoft, and OpenStreetMap footprints across Europe.

  • Government registries 62.2%
  • Microsoft footprints 20.4%
  • OpenStreetMap 17.4%
Preparing map…
Open the coverage explorer →

Buildings by country

Stacked by data source · all 30 countries (scroll)

Attribute coverage

Share of buildings carrying each attribute, by provenance

Type100%
Subtype100%
Height100%
Floors100%
Constr. year15.9%
  • Ground truth
  • Merged
  • ML estimated

Ground truth from official registries; merged from other footprint datasets; the remainder inferred with machine learning.

Why it exists

Built for urban-scale research

EUBUCCO gives researchers a centralized, harmonized basis for high-resolution urban sustainability studies across scales — from continental comparisons down to single neighborhoods. It underpins use cases such as energy-system modeling, climate and natural-hazard risk assessment, and urban morphology analysis.

How it was made

This dataset is described in a companion Data Descriptor published in Scientific Data, which details the methodology and technical validation. All code used to generate the dataset is openly available through the EUBUCCO GitHub organization.

If you use the data for your project, please cite:

BibTeX

Team

Hosted at the Potsdam Institute for Climate Impact Research (PIK) and the Technical University Berlin, in the research group headed by Prof. Dr. Felix Creutzig. Development since v0.2 is led by Florian Nachtigall, with Nikola Milojevic-Dupont and Felix Wagner previously serving as project leads.

Nikola Milojevic-Dupont

Nikola Milojevic-Dupont

Previously Project Lead

Florian Nachtigall

Florian Nachtigall

Project Lead

Felix Wagner

Felix Wagner

Previously Project Lead

Funding & contact

Funded by the Climate Change Center Berlin Brandenburg and the CircEUlar project of the European Union's Horizon Europe research and innovation programme (grant agreement 101056810).

For any question or suggestion, please open a GitHub issue or write to nachtigall(at)tu-berlin.de.