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.

Population density and area of administrative entities (region, province, district and municipality) for Flanders and the Brussels Capital Region

Summer and winter maximum daily precipitation given in mm/day that occur once in a year and once in 5, 10, 15 and 30 years (i.e. return periods of 1 year and 5, 10, 15, 30 years). The precipitation extremes are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

Mapping plan parcel - statistical sector corresponds to the dataset associating a plan parcel such as defined in article 2 of the Royal Decree of July 30th 2018 with the statistical sector including it. This dataset is composed of a single class mentioning the identifier of the plan parcels as well as the identifier of the statistical sectors. The dataset can be freely downloaded as a zipped CSV.

Distribution of real estate assets - real estate companies corresponds to the dataset relating to the distribution of real estate assets owned by legal entities such as recorded by the FPS Finance for tax purposes. This dataset is composed of eight classes. The first class mentions, at national level, for each cadastral income bracket, the number of legal entities with real estate activity (that is to say, registered under the code L of NACE nomenclature) and with real estate capital valued in the relevant bracket as well as the total and median cadastral income of the parcels held by these entities. The assessment of the cadastral income takes into account the shares actually held. 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, municipalities, land register divisions and statistical sectors. The last class includes this information at the level of the countries for the legal entities which are not settled in Belgium but wich are nevertheless reigstred at the Carrefour Banque of the Entreprises.The dataset can be freely downloaded as a zipped CSV.

The number of inhabitants according to official statistics by age group (<20 years, >=65 years, >=80 years) and by administrative entity (region, province, district and municipality) for Flanders and the Brussels Capital Region

The climate projections for Belgium are available as different data types: 1/ Daily climate model simulations and projections at a high spatial resolution of 0.025° or 2.8km for 3 Regional Climate Models (download service with NetCDF files): - ALARO-0 forced with the Global Climate Model ‘CNRM-CERFACS-CNRM-CM5’, calculated by RMIB-UGent; - COSMO-CLM5.0-TERRA-URB forced with the Global Climate model ‘ICHEC-EC-EARTH’, calculated by KULeuven; - COSMO-CLM5.0 forced with the Global Climate Model ‘MPI-M-MPI-ESM-LR’, calculated by UCLouvain. 2/ Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).