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

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.

The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.

Points Of Interest - Elements of general interest contains point elements that are classified as being of general interest, namely embassies, (federal, regional, provincial, municipality) buildings, Govroam, court houses, prisons, police stations, post offices, education, sports buildings and infrastructure, cultural places and centres, libraries and archives, attraction-, recreation-, water- and wildlife parks, camp sites, museum, provincial domains, observatory, observation points, swimming pools, chemist's, crematorium, fire station, civil defence and healthcare in Belgium.

The files contain the population characteristics (total, gender and/or age groups) by statistical sector 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.

Territorial Divisions is the vectorproduct representing the geographical units of Belgium. The product consists of 16 feature types grouped into 4 topics: ‘AdminVector’, ‘Judicial cantons and arrondissements’, ‘Electoral cantons’ and ‘Postal cantons’. The AdminVector dataset includes the statistical, geographical and administrative units of Belgium. The dataset of the judicial cantons and arrondissements displays the geographical units used for the organisation of the courts. The dataset of the electoral cantons consists of geographical units used for the organisation of elections. The dataset of the postal cantons includes the boundaries of the Belgian postal cantons. The product can be downloaded in its entirety via the links in 'Access' at the bottom of this page. Each of the themes is also available as separate datasets on their own webpage.

‘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.

'Top10Vector – Particular Zones' is the vector dataset covering areas within Belgium that are designated for a specific purpose. This dataset contains just one feature type [ZO_particularzone]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

‘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.

Top10Vector is a product containing topographical vector data covering the whole of Belgium. It consists of 35 feature types grouped into 8 different topics: ‘Constructions, ‘Particular zones, ‘Land cover and vegetation, ‘High-voltage network, ‘Hydrography’, ‘Local relief’, ‘Railway network’ and ‘Road network’. The product can be downloaded in its entirety via the links in 'Access' at the bottom of this page. Each of the topics is also available as a separate dataset on their own webpage.