dataset
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federalThemes
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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.
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The reference list in Belgium for the unique abbreviations of all Belgian cities and municipalities. It also includes the submunicipalities, which do not have a clear definition.
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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.
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The dataset contains the borders of the Belgian marine waters in the North Sea and the different geographical areas (‘reporting units’) used when reporting in the frame of the the Marine Strategy Framework Directive 2008/56/EC (MSFD) and the Water Framework directive 2000/60/EC (WFD). The ecological status in the frame of WFD is reported for the coastal waters, defined as the one-nautical mile area, while the chemical status needs to be reported for the territorial waters (up to 12 nautical miles). MSFD requires information for the whole area, encompassing the territorial waters and the Belgian Exclusive Economic Zone. For some descriptors, results have been reported separately for the WFD subdivisions during the update of the initial assessment in 2018.
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The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.
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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.
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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.
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Vector dataset of aeronautical obstacles with a height of 60 meters or more above the ground. The update of this dataset takes place on a multi-year cycle; for each obstacle and for each location, the situation is indicated as applicable at the time of its last update. Based on the horizontal range of an obstacle, it is classified into one of three classes: polygonal obstacle if the smallest rectangular area enclosing the obstacle has a length and width of more than 100 meters; line obstacle if the smallest rectangular area enclosing the obstacle has a length of more than 100 meters, but a width of less than 100 meters; point obstruction in other cases.
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The ratio of the number of people aged over 80 to the number of people aged over 65 according to official statistics, per administrative entity (region, province, district and municipality) for Flanders
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RMI operates a network of 17 automatic weather stations in Belgium. These weather stations report meteorological paramaters such as air pressure, temperature, relative humidity, precipitation (quantity,duration), wind (speed, gust, direction), sunshine duration, shortwave solar radiation and infrared radiation every 10 minutes.
geo.be Metadata Catalog