This web service allows viewing the Belgian topographical vector data as established by the National Geographic Institute. It gives an overview of the data sets of the Top10Vector-series which can be purchased.

Top10Vector – Particular zones is the vector data set of portions of the Belgian territory having a particular attribution which makes them different from the objects in the other Top10Vector-themes. This data set includes only one class. This data set can be bought via the corresponding hyperlink.

Top10Vector – High tension network is the vector data set of the high tension network in Belgium. It includes two classes. First class: high tension line segments. Second class: power pylons. This data set can be bought via the corresponding hyperlink.

Top10Vector – Land cover and vegetation is the vector data set of the land use of unbuilt land areas in Belgium. This data set includes three classes. First class: dry and unbuilt areas or areas not used as roads. Second class: hedges. Third class: linear vegetation. This data set can be bought via the corresponding hyperlink.

Foreign real estate - Property characteristics corresponds to the dataset of foreign real estate held by belgian taxpayers as declared to the FPS Finance (only the holders of rights allowing the enjoyment of the property are taken into account). This dataset consists of one class. This class includes, for each foreign country or territory, the number of properties in each category, the total cadastral income of these properties, the median cadastral income of each category, as well as the 25 and 75 percentiles of the cadastral income of each category.

Top10Vector - Road network is the vector data set of the Belgian road network. It contains five classes. First class: dirt roads. Second class: kilometer markers along the road network. Third class: path segments. Fourth class: road obstructions. Fifth class: road segments. This data set aimt at representing the surface area of the road network on the Belgian territory and is not designed for route calculations. This data set can be bought via the corresponding hyperlink.

Foreign real estate - Owners' profile corresponds to the dataset describing the profile of Belgian taxpayers (natural persons) holding real estate abroad. This dataset is composed of five classes. The first shows, at national level, by age and sex category, the number of individuals holding a real right that allows enjoyment over foreign property, the total number of foreign properties held by these individuals, and the number of properties by foreign country or territory. The number of properties takes into account the shares actually held. The second class presents this information at the level of the three regions. The following classes do the same for provinces, arrondissements and communes. The dataset is freely downloadable as zipped CSV files.

Top10Vector – Hydrography is the data set of the Belgian hydrography. This data set includes six classes. First class: waterway kilometre markers of the Belgian navigable waterways. Second class: watercourse surfaces. Third class: watercourse segments. Fourth class: water points, which means points where the water arrives at the surface or disappears into the subsoil. Fifth class: wetlands, which means zones where the soil is saturated or regularly flooded. Sixth class: water surfaces. This data set can be bought via the corresponding hyperlink.

The national wastewater-based epidemiological surveillance of influenza (commonly known as flu) monitors the influenza presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the influenza concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.

This AtomFeed download service provides access to datasets of GAPD that are reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.