Owner occupants corresponds to the dataset relating to persons domiciled in a property over which they, or a member of their family, exercise a right in rem such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class mentions, at national level, for each age-gender combination, by type of right in rem, the number of natural persons having such a right on their home. The lack of right in rem corresponds here to a fictitious right in rem in order to identify individuals who do not have rights on their home. 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 dataset can be freely downloaded as a zipped CSV.

Settlement area is defined here in terms of land use. Settelement area is the space occupy to live, work, relax and move around. This includes everything that seals the soil but also includes various forms of non-paved green space, such as gardens and parks or sports grounds and these are therefore not counted as open space. These indicators show the total settelement area expressed in m² and the part of the settlement area in relation to the total area per administrative entity (region, province, district and municipality) for Flanders.

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.

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.

Notifications of the cadastral income corresponds to the dataset describing the new cadastral incomes of property located in Belgium that has been notified to the taxpayer. This dataset is made up of seven classes. The first class includes, at national level, by fiscal status, by nature of cadastral income and by category of motivations, the number of cadastral incomes notified, the total amount of cadastral incomes notified, the median cadastral income notified, the 25th and 75th percentiles of cadastral incomes notified and the standard deviation of cadastral incomes notified. 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 transactions - annual version corresponds to the dataset describing transactions of real rights on real estate property such as recorded by the FPS Finance for registration purposes. This dataset is composed of five classes. The first class shows, at the national level, for each cadastral nature and for each type of transaction, the number of real estate property concerned by a transaction as well as market values of these transactions. 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.

Foreign real estate - Owners' profile corresponds to the dataset describing the profile of Belgian taxpayers (natural persons) holding real estate abroad. This dataset is composed of five classes. The first shows, at national level, by age and sex category, the number of individuals holding a real right that allows enjoyment over foreign property, the total number of foreign properties held by these individuals, and the number of properties by foreign country or territory. The number of properties takes into account the shares actually held. The second class presents this information at the level of the three regions. The following classes do the same for provinces, arrondissements and communes. The dataset is freely downloadable as zipped CSV files.

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.

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.