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dataset

173 record(s)
 
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  • Inheritances corresponds to the dataset describing declarations of estate and the value of the assets included therein. This dataset is composed of five classes. The first class includes, at the national level, by age group, gender, and type of property, the number of deceased persons, the total value of the property, the median value of the property, the 25th and 75th percentiles of the value of the property, and the standard deviation of the value of the property. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, districts, and municipalities. The geographical distribution is based on the deceased's tax domicile. Since January 1, 2015, the FPS Finance is no longer responsible for the estates of deceased persons with a tax domicile in Flanders. Only data for tax domiciles located in the Walloon Region and the Brussels-Capital Region are included in the dataset. The dataset can be downloaded free of charge in zipped CSV format.

  • 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 product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.

  • Network of marks whose planimetric coordinates are known with precision according to the reference systems which are used in Belgium.

  • This dataset contains the spatial metadata of the complete collection of aerial photos of the National Geographic Institute (NGI), from 1946 to today. The aerial photos themselves are not part of the dataset. The collection comprises more than 100,000 aerial photos. The images are predominantly panchromatic (black and white). From the late 1970s onwards, colour images were also taken, and from the end of 2004 onwards all images were taken in colour. The analogue aerial photos in the collection were scanned in high resolution. More recent aerial photos were captured directly in digital format. This specific dataset includes three layers: the centroids (centre points) of the individual aerial photos, the footprints (the outlines of the area on the ground covered by each photo), and the flight paths of the aircraft used during image acquisition. For each aerial photo, all known metadata is included in the attribute table, such as the acquisition date, the flight and the strip, the dimensions, the scale, the ground resolution, the radiometry (black and white or colour), the coordinates of the centre point, and the camera, lens and film used. This data makes it possible to find out which aerial photos are available for a given location and period, and what the characteristics of each photo are. The data can be consulted via the associated web service (WFS). The aerial photos can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.

  • The national wastewater-based epidemiological surveillance of psychoactive substances monitors the presence of various psychoactive substances in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in 2025. The results consist of the psychoactive substances 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.

  • Real estate sales - Profile of the buyers corresponds to the dataset describing the profile of the buyers (natural persons) of real estate. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and by price range the number of real estate property that was sold as well as the number of buyers broken down by age and gender categories. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.

  • This dataset contains a matrix of distances between all Belgian municipality centres as defined in the AdminVector product. The distance is in km and is rounded to an integer.

  • 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.

  • The average household size of private households by administrative unit (region, province, district and municipality) for Wallonia.