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 entities included in the dataset represent the Belgian rail transport network in the sense of the INSPIRE European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The RailLink class represents, in a linear manner, all of the rail links between each pair of dots for the network considered. The RailwayStationNode class represents occasionally all of the stations located along the network. In addition to this are two classes without geometry. The RailwatType class ranks the segments according to the type of rail transport for which they were designed. All the segments for this dataset belong to the train category. The "RailwaytElectrification" class lists the segments according to whether they are electrified or not.

The dataset shows in the form of polygons the sand and gravel extraction sites in the Belgian marine areas as defined by the successive marine spatial plans. A 2014 version illustrates the 2014-2020 plan while the 2020 version illustrates the 2020-2026 plan.

‘Top10Vector – High-voltage network’ is the vector dataset for the Belgian high-tension grid. The dataset consists of 2 feature types: high-voltage line segments [HT_hightensionlinesegment] and high-voltage pylons [HT_powerpylon]. 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 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.

'Top10Vector – Particular Zones' is the vector dataset covering areas within Belgium that are designated for a specific purpose. This dataset contains just one feature type [ZO_particularzone]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Points Of Interest - Cult elements contains point elements relating to the cult, namely churchs (anglican, catholic, orthodox, protestant), mosques, synanogues, buddhist temples, chapels, abbeys, priories and other religious buildings or small monuments in Belgium.

Administrative units - current situation corresponds to the dataset of administrative units from the reference database for the land register data. Administrative limits are legally defined by an administrative entity or between two administrative entities. In Belgium, administrative limits as legally defined are fixed and can only be changed by a law, ordinance or decree. The General Administration of Patrimonial Documentation of the FPS Finance is named by the federal authorities as the authentic source of Belgian administrative limits. This dataset corresponds to the current situation at the time of consultation. It is composed of five geometric classes. The first class corresponds to the whole national territory. The second corresponds to the territory of the three regions, the third to the territory of the provinces, the fourth to the territory of the administrative districts, the fifth to the territory of the municipalities. The dataset is freely downloadable via the ad hoc WFS service.

Administrative units corresponds to the dataset of administrative units from the reference database for the land register data. Administrative limits are legally defined by an administrative entity or between two administrative entities. In Belgium, administrative limits as legally defined are fixed and can only be changed by a law, ordinance or decree. The General Administration of Patrimonial Documentation of the FPS Finance is named by the federal authorities as the authentic source of Belgian administrative limits. This dataset corresponds to the legal situation as defined on January 1st of the reference year or to the situation at the specified date. It is composed of seven geometric classes (polygons and lines) and one class without geometry. The first class corresponds to the whole national territory. The second corresponds to the territory of the three regions, the third to the territory of the provinces, the fourth to the territory of the administrative districts, the fifth to the territory of the municipalities, the sixth to the territory of the Antwerp city districts and the seventh to the administrative boundaries in the form of lines. The class without geometry corresponds to the table of tax situations. The dataset can be freely downloaded as a zipped shapefiles.