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GeoPackage

34 record(s)
 
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From 1 - 10 / 34
  • Points Of Interest - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities in Belgium.

  • The files contain the population characteristics (total, gender and/or age groups) by statistical sector in Belgium on January 1st, according to the Belgian definition of the population. The Belgian definition does not take into account the 12-months criterion and excludes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.

  • The dataset of the electoral cantons represents the geographical unit used for the organization of the elections. The electoral cantons were digitised based on the definitions in the Annex of the Electoral Code, which is managed by the FPS Home Affairs. The dataset consists of a single feature type, namely the boundaries of the electoral cantons [electoralcanton]. This dataset can be downloaded via the links in 'Access' at the bottom of this page.

  • The files contain the population characteristics (total, gender and/or age groups) by 1 km² square grid cell in Belgium on January 1st, according to the European definition of the population. The European definition takes into account the 12-months criterion and includes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.

  • The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.

  • 'Top10Vector – Constructions' is the vector dataset of constructions in Belgium. The dataset consists of 7 feature types, including those for buildings [CO_constructions] and those for bridges and tunnels [CO_brunnel]. The geometry of buildings can be supplemented with additional point [CO_toweronbuilding] or surface elements [CO_additionalpolygongeometry], which indicate the position of towers or other structures on buildings. Other structures are polygon [CO_particularpolyconstruction], linear [CO_particularlineconstruction] or point [CO_particularpointconstruction] feature types. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

  • The contour lines are the set of lines connecting all points at the same elevation in a model used to represent the relief on a large scale.

  • The data set has been established according to the INSPIRE format. It 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, 2019 etc. 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.

  • The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. The PMMoV virus is an indicator of human faecal contamination used to estimate the population load in wastewater samples. The results of this dataset consist of PMMoV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.

  • The national wastewater-based epidemiological surveillance of respiratory syncytial virus (RSV) monitors the RSV presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the RSV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.