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

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.

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.

‘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 - Economy interest contains point elements indicating the location of an economic activity, such as a brewery, wholesale market, (commercial, industrial) building, cooling tower, gas processing/disposal, slagheap, telecommunications, wind turbine, solar panel park in Belgium.

'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.

Points Of Interest - patrimonial elements contains point elements relating to the patrimony, namely (water and wind)mill, (historic, commemoration, fortified) building, historic mound, ice house, castle, kiosk, shoring, non-religious monument, monumental stairs in Belgium.

This dataset contains a set of Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, cult elements, patrimonial elements, elements of general interest, infrastructures, economy). POI types that have a link with the NGI topographic reference data are systematically monitored to ensure consistency between these data. But for other POI types, there is no guarantee of completeness and correctness. These are updated ad hoc when an error or incompleteness is noticed.

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.

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.