The entities included in the dataset represent the Belgian road transport network in the sense of the Inspire European directive. The dataset comprises several classes. The RoadLink class represents, in a linear manner, all of the road links between each pair of dots for the network considered. The footpaths, cycle paths or carriageways that connect the pairs of dots correspond to as many entities in the class. The RoadServiceArea class represents the sections of space devoted to auxiliary road transport functions, such as service stations or rest areas. In addition to this are two classes without geometry. RoadWidth class describes in metres the width of each segment of the "road links" class. The "functional importance" class ranks the segments of the "road links" class by functional importance on the road transport network.

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.

‘Top10Vector – High-voltage network’ is the vector dataset for the Belgian high-tension grid. The dataset consists of 2 feature types: high-voltage line segments [HT_hightensionlinesegment] and high-voltage pylons [HT_powerpylon]. 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.

Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.

Points Of Interest - Infrastructures interest contains point elements indicating the location of a infrastructure, such as a container depot, incinerator, brunnel (bridges and tunnels), rail traffic, subway access, subway and tram stops, heli- and airport, control tower, light mast, lighthouse, water tower, flashing-lamp, breakwater, harbour area, marina, ship lift, dock, embankment, sluice, stilt structure and water point in Belgium.

'Top10Vector – Local topography' is the dataset of the Belgian orography. This dataset consists of 8 feature types. The embankments [LR_embankment], earth banks [LR_earthbank] and steeps [LR_steep] are described by a linear element at the height of the ridge line. Cone-shaped slag heaps [LR_coneshapedslagheap], historic mounds [LR_historicmound] and cave entrances [LR_caveentrance] are represented by points. For the embankments, earth banks and slag heaps with a sufficiently large horizontal occupation, the additional slope surface [LR_additionalslopesurface] is also shown. Finally, dune zones [LR_dunezone] are also indicated. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

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.

‘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.

The files contain the population characteristics (total, gender and/or age groups) by municipality in Belgium on January 1st, according to the Belgian definition of the population. The Belgian definition does not take into account the 12-months criterion and excludes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.