Distribution of real estate assets - Natural persons corresponds to the dataset relating to the distribution of real estate assets owned by natural persons 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 age-gender combination, by cadastral income bracket, the number of natural persons with real estate capital valued in the relevant bracket as well as the total and median cadastral income of the parcels held by these persons. 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 natural persons which are not settled in Belgium but wich are nevertheless reigstred in the National Reistry.The dataset can be freely downloaded as a zipped CSV.

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.

Gridded observational data provides an estimate of the spatial distribution of a meteorological variable based on observations. While instrumental measurements are taken at irregularly distributed stations, gridded data represents the meteorological variable on a predefined regular grid. Gridded observational data is of strong benefit in disciplines applying distributed quantitative models to examine the influence of weather and climate. Gridded data are also very convenient to provide estimations for any specific location of interest for the user. Gridded observational data covering Belgium at a spatial resolution of 5 km (= 1360 pixels) are available for several variables (precipitations, air temperature, sunshine duration, solar radiation, relative humidity and wind speed) as well as different temporal resolutions (daily, monthly, seasonal, annual values as well as long-term climate averages). The gridded database starts in 1961 for most variables and is updated each day with the available observations of the previous day. All grids are then updated for archiving as soon as the data quality control is completed. In addition to the 5km x 5km grids, spatial averages for all each Belgian municipality are also available. This product is not publically available yet. The daily gridded climate data are available for academic profiles after registration on our open data website.

Characteristics of the cadastral parcels - Condition of the building corresponds to the dataset describing the physical characteristics of the built-on parcels such as recorded by the FPS Finance for tax purposes. This dataset is composed of seven classes. The first class shows, at the national level, for each type of built-on land the total number of parcels as well as the number of parcels meeting various qualitative criteria (such as the number of parcels equipped with central heating, or the number of parcels built before 1900). 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.

Real estate leases - annual version corresponds to the dataset describing leases on real estate items as recorded for registration purposes by the FPS Finance. This dataset is composed of five classes. The first class shows, at the national level, for each type of lease, the number of leases registered, the nature of the parties concerned by the contract and the median rent of the properties concerned. 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. The dataset can be freely downloaded as a zipped CSV.

Buyers' origin - Natural persons corresponds to the dataset describing the origin of the buyers (natural persons) of real estate located in Belgium according to their municipality of residence for residents and according to their country or territory of residence for the non-residents (residence 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.

Characteristics of cadastral parcels - Concentration of cadastral income corresponds to the dataset measuring the concentration of cadastral income for parcels of a housing-like nature. This dataset is composed of seven classes. The first class shows, at the national level, for each category of parcels dedicated to housing, the number of parcels and the total cadastral income of the parcels by cadastral income bracket. 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.

Share of the cadastral surface area that is not artificially developed in the cadastral and not unknown surface area to the administrative entity (region, province, district and municipality) for Wallonia

The areas not included in the settelement area considered to be categories of open space. However, open space should not be confused with green or undeveloped space. The settelement area also includes various forms of non-paved green space, such as gardens and parks or sports grounds and these are counted as developed area. These indicators show the total area of open space expressed in m² en de part of open area in relation to the total surface per administrative unit (region, province, district and municipality) for Flanders.

Characteristics of the cadastral parcels - Rights of real estate companies corresponds to the dataset describing the legal persons holding real rights on the parcels such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and for each type of real right, the number of parcels, their total cadastral income, as well as for each category of economic activity, the number of parcels on which real estate companies hold the concerned real rights (i.e. the companies of L class from NACE classification). 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.