The data set includes three types of breakdown: Cities, Larger Urban zones or Functional Urban areas. BE_StatisticsBelgium_SH_SU_UA_CITY presents in the form of polygons the borders of the Belgian cities participating to the Urban Audit of the European Commission. Some cities consist in only one municipality (LAU2) while the others are the result of the aggregation of several municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new cities have taken part in it. The files can be linked to the statistical data collected for the Urban Audit. BE_StatisticsBelgium_SH_SU_UA_LUZ and BE_StatisticsBelgium_SH_SU_UA_FUA present in the form of polygons the areas of influence of the Urban Audit cities on the surrounding municipalities. The initial concept of Larger Urban Zones (LUZ) was replaced by the concept of Functional Urban areas (FUA) to take into account the movement of workers to the Urban Audit cities. LUZ / FUA are an aggregation of municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new LUZ / FUA have appeared or have seen their extension modified. The files can be linked to the statistical data collected for the Urban Audit.

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.

Landuse-Particular Zone is the INSPIRE 2D vector data set of the "Particular zones" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "ExistingLandUseDataSet" features and the "ExistingLandUseObject" features in accordance with the INSPIRE specifications.

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.

The files contain the population characteristics (total, gender and/or age groups) by municipality 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.

Top10Vector – Railway network is the dataset of the railway network in Belgium. This data set includes three classes. First class: rail network kilometer markers. Second class: railway stop. Third class: railway track segments. This dataset can be downloaded via the hyperlink in 'Access'.

This dataset contains a set of Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, cult elements, patrimonial elements, elements of general interest, infrastructures, economy). POI types that have a link with the NGI topographic reference data are systematically monitored to ensure consistency between these data. But for other POI types, there is no guarantee of completeness and correctness. These are updated ad hoc when an error or incompleteness is noticed.

The Royal Observatory of Belgium maintains several continuously observing GNSS tracking stations in Belgium. The stations are also belonging to EUREF Permanent Network (EPN) used to maintain the ETRS89 and the observation data are available to the public through https://doi.org/10.24414/FST8-P256.

Land register plan - situation on January 1st corresponds to the dataset of land register from the reference database for the land register data CadGIS. The land register plan is one of the elements that make up the patrimonial documentation. It is defined as “the graphic representation and assembling on a plan of all the cadastral plan parcels of the Belgian territory”. A plan parcel, such as defined in Article 2 of the Royal Decree of 30 July 2018, is a part of Belgian territory, geographically delimited and identified by the General Administration of Patrimonial Documentation on the land register plan, which corresponds to the ground surface area of one or more patrimonial cadastral parcel(s) (real estate property as mentioned in Article 472 of the 1992 Income Tax Code in respect of which the cadastral income is fixed). This dataset corresponds to the legal situation as defined on 1 January of the reference year. It is composed of thirteen geometric classes and one class without geometry. The first class includes the cadastral plan parcels present in the corresponding administrative unit. The second class includes the buildings managed by the General Administration of Patrimonial Documentation, the third class includes the buildings managed by the regions, the fourth class includes equipment and tools, the fifth class includes water bodies, the sixth class includes cadastral blocks, the seventh, easements and paths, the eighth, toponymic lines, the ninth, toponymic points, the tenth, property boundaries, the eleventh, parcel numbers, the twelfth, cadastral divisions, and finally, the thirteenth, cadastral limits. The class without geometry corresponds to the table of tax situations. The dataset can be freely downloaded as a zipped shapefiles.

Top10Vector – Land cover and vegetation is the vector dataset of the land use of unbuilt land areas in Belgium. This data set includes three classes. First class: isolated vegetation. Second class: land cover zones. Third class: linear vegetation. This dataset can be downloaded via the link in 'Access'.