‘Top10Vector – Land cover and Vegetation’ is the vector dataset of the land use categories of undeveloped land areas in Belgium. This dataset comprises 3 feature types, namely isolated [LC_isolatedvegetation] and linear [LC_linearvegetation] vegetation and land cover zones [LC_landcoverzone]. This dataset can be downloaded via the links in ‘Access’ at the bottom of this page.

Points Of Interest - Cult elements contains point elements relating to the cult, namely churchs (anglican, catholic, orthodox, protestant), mosques, synanogues, buddhist temples, chapels, abbeys, priories and other religious buildings or small monuments in Belgium.

Emergency rescue zones corresponds to the dataset of the territorial delimitation of the emergency areas such as defined by the Royal Decree of February 2nd 2009 determining the territorial delimitation of the emergency areas in accordance with the law of May 15th 2007 on civil protection. This dataset is composed of two classes. The first class contains the identifiers, names and geometries of the various areas; the second is a class without geometry and corresponds to the table of Belgian municipalities with the emergency area for each of them. The dataset can be freely downloaded as a zipped shapefiles.

This dataset contains the latest version of the borders of the Belgian postal codes, including the "special" postal codes (0612, 1049, 6099,…).

'Top10Vector – Constructions' is the vector dataset of constructions in Belgium. The dataset consists of 7 feature types, including those for buildings [CO_constructions] and those for bridges and tunnels [CO_brunnel]. The geometry of buildings can be supplemented with additional point [CO_toweronbuilding] or surface elements [CO_additionalpolygongeometry], which indicate the position of towers or other structures on buildings. Other structures are polygon [CO_particularpolyconstruction], linear [CO_particularlineconstruction] or point [CO_particularpointconstruction] feature types. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

MapIndex is a regular grid of rectangular or square cells coded with alphanumeric characters. It has been defined for the Belgian territory and allows geolacating several events. The present version is a beta (v2)version which is submitted to the emergency services. It will evolve to a standard cartographic grid.

Points Of Interest - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities in Belgium.

‘Top10Vector – Railway network’ is the dataset of the railway network in Belgium. This dataset includes 3 feature types, namely the railway track segments [RA_railwaytracksegment], railway stops [RA_railwaystop] and railway kilometer markers [RA_railwaykilometremarker]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Administrative units - current situation 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 current situation at the time of consultation. It is composed of five geometric classes. 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 dataset is freely downloadable via the ad hoc WFS service.

The dataset shows in the form of polygons the sand and gravel extraction sites in the Belgian marine areas as defined by the successive marine spatial plans. A 2014 version illustrates the 2014-2020 plan while the 2020 version illustrates the 2020-2026 plan.