The number of inhabitants on January 1 according to the official definition of the population, by administrative entity (region, province, district and municipality) for Wallonia.

'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.

The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2018. The dataset is INSPIRE compliant.

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 Wallonia.

The INSPIRE contour lines used for a cartographic representation of the relief at scale 1:50000, a product of the National Geographic Institute in Belgium. The dataset features are in accordance with the INSPIRE specifications.

Share of the cadastral surface area that is artificially developed in the cadastral surface area and not unknown to the administrative entity (region, province, district and municipality) for Wallonia

The Solar Ultraviolet - Visible Irradiance Monitoring network (SUVIM) is formed of observation stations operated by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA). At each station, UV solar radiation is measured by several instruments. The network produces UV indices, solar irradiances and ancillary measurements such as meteorological conditions at the stations in quasi-real time. The SUVIM Station Network dataset includes information on the stations. It does not include the measured data, which form the SUVIM Observations dataset.

This dataset contains historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. Orthophotos are aerial photographs that have been geometrically corrected (orthorectified) to eliminate distortions caused by terrain relief, lens distortion, and camera tilt. Unlike raw aerial imagery, orthophotos have a uniform scale and accurate geometry, making them suitable for cartography, measurements, and visual analysis. This specific dataset includes historical orthophotos from 2010, 2011, 2012, 2013, 2014 and 2015, derived from aerial surveys carried out by the National Geographic Institute (NGI) and the Regions. During this period, both analogue and digital aerial photographs are available. The analogue images were scanned at high resolution and, like the digital ones, orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. All orthophotos are in colour (RGB). The ground resolution (GSD) varies between 10 cm and 50 cm, depending on the sensor used and the surveyed area. The spatial coverage of this dataset is limited to the areas for which aerial photographs were available during the mentioned period. The data can be visualized via the corresponding web services (WMS/WMTS). The orthophotos and the original aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.

s'Top10Vector – Hydrography' is the dataset of the Belgian hydrography. This dataset comprises 6 feature types. The basis of the hydrographic network is formed by watercourse segments [HY_watercoursesegment]. The surface of larger watercourses is represented by watercourse surfaces [HY_watercoursesurface]. Water surfaces [HY_watersurface] and wetlands [HY_wetland] are also included in the dataset. Water points [HY_waterpoint] are point features where water reaches the land surface naturally or disappears into the subsoil. Another type of point feature is the kilometre marker [HY_waterwaykilometremarker]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Annual, summer and winter mean temperature given in °C. The temperature fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.