This dataset corresponds to the macrozone dataset, i.e. the highest-level statistical partition of the Brussels-Capital Region (the Region is divided into 17 macrozones).

This dataset corresponds to the groundwater catchments protection areas in the Brussels-Capital Region, in accordance with the decree of the Brussels-Capital Region Government of 19 September 2002 delimiting a groundwater catchments protection area in the Bois de la Cambre and the Forêt de Soignes. It is made of one geometric class: groundwater catchments protection areas.

This dataset corresponds to the updated list of Belgian municipalities belonging to an urban region, based on the analysis published in IBSA Report No. 17. The data covered by this dataset range from 2021 to 2025, and the municipal boundaries are those of 2025.

This dataset contains data on the statistical sectors in the Brussels-Capital Region. The statistical areas are grouped to form the districts of monitoring. Monitoring the neighborhood is an urban observation tool to help track and understand the evolution of Brussels districts in different aspects (demographic, social, health, economy, housing, mobility, quality of life, participation, ... ) to improve the efficiency of urban policy and help guide public and private investment in urban renewal.

Brussels-Capital Region : groundwater catchment sites protection area 3 (i.e. extraction wells and drainage gallery) in the Brussels-Capital Region. Those site was defined in the Brussels-Capital Government decree of 19 September 2002 delimiting a groundwater catchments protection area at the “Bois de la Cambre” and in the Sonian Forest (Belgian Monitor: June 10, 2008)

This dataset includes the RGB & NI (Red, Green, Blue and Near-Infrared) orthophotos created in 2022. The images cover the entire Brussels Capital Region, with a resolution of 5 centimeters. The dataset is freely downloadable as a zipped file.

The data set presents in the form of polygons the breakdown of Belgium in almost 20,000 statistical sectors. The statistical sector is the basic territorial unit resulting from the subdivision of the territory of municipalities by STATBEL since 1970 for the dissemination of its statistics at a finer level than the municipal level. A statistical sector cannot extend over two municipalities and any point in the municipal territory is part of one and the same statistical sector. The 1970 and 1981 versions are shown in analogue format while the 2001, 2011, 2018, 2019 etc. versions are available in digital vector format. The files can be linked to the data on population, housing and disposable income on the website of Statbel.

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.

The data set has been established according to the INSPIRE format. It presents in the form of polygons the breakdown of Belgium in almost 20,000 statistical sectors. The statistical sector is the basic territorial unit resulting from the subdivision of the territory of municipalities by STATBEL since 1970 for the dissemination of its statistics at a finer level than the municipal level. A statistical sector cannot extend over two municipalities and any point in the municipal territory is part of one and the same statistical sector. The 1970 and 1981 versions are shown in analogue format while the 2001, 2011, 2018, 2019 etc. versions are available in digital vector format. The files can be linked to the data on population, housing and disposable income on the website of Statbel.

The UrbIS - Topo product is a catalogue of topographic geospatial vector data that contains geometric data, mainly lines, symbols and text. The product offers a digital representation of reality on a large scale through layers grouped by themes (e.g., buildings, roads, green spaces, etc.) and which can contain up to several tens of thousands of elements. The dataset is freely downloadable as a zipped file.