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.

Buyers' origin - Real estate companies corresponds to the dataset describing the origin of the buyers (legal persons engaged in real estate activities as defined in section L of the NACE-BEL 2008 nomenclature) 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.

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.

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.

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.

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.

This AtomFeed download service provides access to datasets of GAPD that are not reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.

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.

This AtomFeed download service provides access to datasets of GAPD that are reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.