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.

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 web service provides the download per object of the datasets Administrative units - current situation and Land register plan - current situation. This webservice does not comply with the INSPIRE specifications, and the datasets to which it gives access do not comply with the INSPIRE specifications.

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.

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.

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 leases corresponds to the dataset describing leases on real estate items as recorded for registration purposes by the FPS Finance. This dataset is composed of seven classes. The first class shows, at the national level, for each type of lease within the meaning of the Code of Registration Duties, the number of leases taking effects during the term, the nature of the parties concerned by the contract and the median rent and expenses and the percentiles 25 and 75 of the rent and expenses 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, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.

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.

Characteristics of the cadastral parcels - Exemption from withholding tax on immovable property corresponds to the dataset describing the parcels exempted from withholding tax on immovable property. The first class shows, at the national level, the number of parcels per exemption category, the total amount of cadastral income of these parcels, their surface area as well as the median cadastral income of each category. 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.