This dataset contains the off-street parking supply in the Brussels-Capital Region. The data is aggregated per cadastral block and classified into 11 categories, where possible. The categories include: residential, office, commercial, industrial, educational, cultural/religious/sporting, hospital/care, public parking, park & ride, public buildings, and others.

UrbIS - Administrative Units is the Brussels Region administrative and statistical units dataset. This dataset is made up of six different geometric classes. The first class is the territory of the Brussels Region. The second is the territory of the nineteen municipalities that make up the Region, the third is the six police zones in the Region, the fourth is the monitoring districts, the fifth is the statistical sectors. The dataset is freely downloadable as a zipped shapefile. The dataset is produced by integrating data from FPS Finance and FPS Economy. Their respective licences apply to the classes deriving from them.

This download service allows, by means of a formatted URL, to download any object of the 2D vectorial datasets that compose UrbIS M7.

This dataset shows, for each Brussels municipality, the projected population by age and sex, over the period from 2026 to 2035. The population projections are carried out according to the methodologies described in the Cahier of the BISA No. 13.

UrbIS - Transport networks corresponds to the dataset of road networks and tram and train networks in the Brussels Region. This dataset is composed of three geometric classes. The first class corresponds to the street axes (some objects located in Flanders have been integrated for visual continuity). The second corresponds to street intersections, and the third corresponds to the rail network. The dataset is freely downloadable, in the form of zipped shapefiles. The dataset is notably produced by integrating the attribute informations provided by Brussels Mobility.

Administrative units corresponds to the dataset of administrative units from the reference database for the land register data. Administrative limits are legally defined by an administrative entity or between two administrative entities. In Belgium, administrative limits as legally defined are fixed and can only be changed by a law, ordinance or decree. The General Administration of Patrimonial Documentation of the FPS Finance is named by the federal authorities as the authentic source of Belgian administrative limits. This dataset corresponds to the legal situation as defined on January 1st of the reference year or to the situation at the specified date. It is composed of seven geometric classes (polygons and lines) and one class without geometry. The first class corresponds to the whole national territory. The second corresponds to the territory of the three regions, the third to the territory of the provinces, the fourth to the territory of the administrative districts, the fifth to the territory of the municipalities, the sixth to the territory of the Antwerp city districts and the seventh to the administrative boundaries in the form of lines. The class without geometry corresponds to the table of tax situations. The dataset can be freely downloaded as a zipped shapefiles.

Administrative Units - INSPIRE corresponds to the dataset of the Belgian administrative units that complies with the INSPIRE specifications. This dataset is composed of two classes. The first class contains administrative units and the second class contains administrative boundaries. The class are composed of the following administrative level: Kingdom, Regions, Provinces, and arrondissements, and municipalities. The entire dataset can be downloaded via the ad hoc WFS.

This tiled view service gives access to tiled georeferenced maps of UrbIS from data updated annually.

Cadastral Parcels - INSPIRE corresponds to the dataset of Belgian plan cadastral parcels complying with INSPIRE specifications. This dataset is composed of two classes. The first class contains cadastral zoning and the second class contains cadastral parcel. The entire dataset can be downloaded via the ad hoc WFS.