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dataset

190 record(s)
 
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  • The number of private households according to official statistics, per administrative unit (region, province, arrondissement and municipalitiy) for Flanders and the Brussels Capital Region

  • The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2018. The dataset is INSPIRE compliant.

  • The Solar Ultraviolet - Visible Irradiance Monitoring network (SUVIM) is formed of observation stations operated by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA). At each station, UV solar radiation is measured by several instruments. The network produces UV indices, solar irradiances and ancillary measurements such as meteorological conditions at the stations in quasi-real time. The SUVIM Station Network dataset includes information on the stations. It does not include the measured data, which form the SUVIM Observations dataset.

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    The Belgian gravimetric database consists of 69,000 measurements, made using relative spring gravimeters. This database is managed by the Royal Observatory of Belgium since 1925. Two superconducting gravimeters measure elusive gravity variations at the stations of Membach and Rochefort, with a precision better than 1E-10 of gravity at the surface of the Earth (g). Since 1996, an absolute gravimeter performs repeated gravity measurements at selected sites, with an accuracy of 1E-9 g.

  • Distribution of real estate assets - real estate companies 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 entities with real estate activity (that is to say, registered under the code L of NACE nomenclature) and 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.

  • The localised unemployment rate calibrated on the labour force survey (LFS), by administrative unit (region, province, district and municipality) for Belgium.

  • 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

  • Top10Vector – High tension network is the vector data set of the high tension network in Belgium. It includes two classes. First class: high tension line segments. Second class: power pylons. This data set can be bought via the corresponding hyperlink.

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

  • The data set presents in the form of polygons the breakdown of Belgium in almost 20,000 statistical sectors. The statistical sector is the basic territorial unit resulting from the subdivision of the territory of municipalities by STATBEL since 1970 for the dissemination of its statistics at a finer level than the municipal level. A statistical sector cannot extend over two municipalities and any point in the municipal territory is part of one and the same statistical sector. The 1970 and 1981 versions are shown in analogue format while the 2001, 2011, 2018 and 2019 versions are available in digital vector format. The files can be linked to the data on population, housing and disposable income on the website of Statbel.