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 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.

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.

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.

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 – Railway network’ is the dataset of the railway network in Belgium. This dataset includes 3 feature types, namely the railway track segments [RA_railwaytracksegment], railway stops [RA_railwaystop] and railway kilometer markers [RA_railwaykilometremarker]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

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 – 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.

‘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.

Top10Vector is a product containing topographical vector data covering the whole of Belgium. It consists of 35 feature types grouped into 8 different topics: ‘Constructions, ‘Particular zones, ‘Land cover and vegetation, ‘High-voltage network, ‘Hydrography’, ‘Local relief’, ‘Railway network’ and ‘Road network’. The product can be downloaded in its entirety via the links in 'Access' at the bottom of this page. Each of the topics is also available as a separate dataset on their own webpage.