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  • UV Index derived from spectral measurements with a Brewer UV spectrophotometer. This product is not publically available yet.

  • The climatological network contains about 200 stations spread over the whole country. It consists of voluntary observers recruited by the RMI, professional observers of Skeyes (civil aviation) or the Air Force (military aviation) and civil servants of the state, communities or private companies. The observers measure the amount of rain fallen in the last 24 hours in the pluviometer of the RMI every morning at 8 o‘clock. In more than half of the stations the extreme air temperatures are also recorded by reading the maximum and minimum temperature in a standardized weather shelter. The observers send their observations either on a  daily or on a monthly basis to RMI. This product is not publicly available yet.

  • 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

  • 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.

  • 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.

  • The number of private households according to official statistics, per administrative unit (region, province, district and municipality) for Wallonia.

  • 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.

  • 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.

  • 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.

  • Distribution of real estate assets - Legal persons 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 persons grouped together by economic activity 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.