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.

The localised unemployment rate calibrated on the labour force survey (LFS), by administrative unit (region, province, district and municipality) for Belgium.

Buyers' origin - Legal persons corresponds to the dataset describing the origin of the buyers (legal persons) of real estate located in Belgium according to the municipality of their headquarters for legal persons settled in Belgium and according to the country or territory of their headquarters for foreign legal persons (headquarter at the date of the deed). This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels acquired by buyers from each Belgian municipality and the number of parcels acquired by buyers from each country or territory. The number of parcels takes into account the shares actually acquired. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.

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.

The hillshades are presented as a regular homogeneous grid of points indicating the grey level value resulting from their orientation with respect to the chosen fictitious light source. The 1m hillshade is the view obtained by hillshading of the 1m DTM. The 5m and 20m hillshades are the views obtained by hillshading of the 5m and 20m DTM.

The Copernicus Urban Atlas (UA) provides European, comparable and detailed land use and land cover maps for the main Functional Urban Areas (FUAs). The Urban Atlas Street Tree Layer (UA-STL) is a separate layer of the Urban Atlas 2012. It includes contiguous rows or patches of trees covering 500 m² or more with a minimum width of 10 m within the urban mask of the Urban Atlas 2012. Gaps between tree patches or within a larger patch that are less than 10m wide are included in the Street Tree Layer. There is no thematic content other than the presence or absence of trees. The UA-STL is a new product and no accuracy threshold was provided as part of the Urban Atlas specifications. The UA STL product validated currently covers just over 7% of the total UA2012 area.

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.

Real estate property dynamics corresponds to the dataset describing changes in ownership in Belgium as recorded by the FPS Finance. This dataset comprises seven classes. The first class includes, at national level, for each cadastral nature, the total number of parcels, the number of parcels that have changed ownership at different time intervals, the median and mean duration since the last change of ownership, the 25 and 75 percentiles of the duration since the last change of ownership, and the mean duration of ownership rotation over the entire existence of the parcels. The second class uses this information for all three regions. The following classes do the same for provinces, arrondissements, communes, cadastral divisions and statistical sectors. The dataset is freely downloadable as zipped CSV files.

The ratio of the number of people aged over 80 to the number of people aged over 65 according to official statistics, per administrative entity (region, province, district and municipality) for Wallonia

Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.