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144 record(s)
 
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  • This web service allows viewing datasets from INSPIRE Contour Lines, and DTM.

  • The number of inhabitants according to official statistics by age group (<20 years, >=65 years, >=80 years) and by administrative entity (region, province, district and municipality) for Wallonia.

  • Mapping plan parcel - statistical sector corresponds to the dataset associating a plan parcel such as defined in article 2 of the Royal Decree of July 30th 2018 with the statistical sector including it. This dataset is composed of a single class mentioning the identifier of the plan parcels as well as the identifier of the statistical sectors. The dataset can be freely downloaded as a zipped CSV.

  • The average household size of private households by administrative unit (region, province, district and municipality) for Wallonia.

  • Distribution of real estate assets - Natural persons corresponds to the dataset relating to the distribution of real estate assets owned by natural persons 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 age-gender combination, by cadastral income bracket, the number of natural persons with real estate capital valued in the relevant bracket as well as the total and median cadastral income of the parcels held by these persons. 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 natural persons which are not settled in Belgium but wich are nevertheless reigstred in the National Reistry.The dataset can be freely downloaded as a zipped CSV.

  • This web service allows viewing datasets from CORINE Land Cover-2018-Belgium.

  • 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.

  • The number of inhabitants according to official statistics per age group of 5 years and gender by administrative entity (region, province, district and municipality) for Flanders and the Brussels Capital Region

  • The eTOD digital terrain model (DTM) is a homogeneous and regular point grid indicating the elevation of the ground level in order to make a model of its surface. This DTM is obtained by resampling raw altimetric source data from the Flemish and Walloon Regions, grouped in Lambert 72 and with a resolution of 1 m; as well as data obtained internally by direct photogrammetric recording of structure points and lines based on the most recent aerial photographs for all areas not covered by regional data. For this DTM, the resolution and coordinate reference system are used as defined by the eTOD specifications.

  • Emergency rescue zones corresponds to the dataset of the territorial delimitation of the emergency areas such as defined by the Royal Decree of February 2nd 2009 determining the territorial delimitation of the emergency areas in accordance with the law of May 15th 2007 on civil protection. This dataset is composed of two classes. The first class contains the identifiers, names and geometries of the various areas; the second is a class without geometry and corresponds to the table of Belgian municipalities with the emergency area for each of them. The dataset can be freely downloaded as a zipped shapefiles.