The ratio of the number of people aged over 80 to the number of people aged over 65 according to official statistics, per administrative entity (region, province, district and municipality) for Wallonia

Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services. The Riparian Zones products will support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive. Two complementary product groups provide detailed information on the state and characteristics of riparian zones across Belgium: 1. Land Cover / Land Use (LCLU) 2. Green Linear Elements (GLE)

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.

Real estate property dynamics corresponds to the dataset describing changes in ownership in Belgium as recorded by the FPS Finance. This dataset comprises seven classes. The first class includes, at national level, for each cadastral nature, the total number of parcels, the number of parcels that have changed ownership at different time intervals, the median and mean duration since the last change of ownership, the 25 and 75 percentiles of the duration since the last change of ownership, and the mean duration of ownership rotation over the entire existence of the parcels. The second class uses this information for all three regions. The following classes do the same for provinces, arrondissements, communes, cadastral divisions and statistical sectors. The dataset is freely downloadable as zipped CSV files.

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.

Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices 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 5th or 95th percentiles of the change factors.

Points Of Interest - Elements of general interest contains point elements that are classified as being of general interest, namely embassies, (federal, regional, provincial, municipality) buildings, Govroam, court houses, prisons, police stations, post offices, education, sports buildings and infrastructure, cultural places and centres, libraries and archives, attraction-, recreation-, water- and wildlife parks, camp sites, museum, provincial domains, observatory, observation points, swimming pools, chemist's, crematorium, fire station, civil defence and healthcare in Belgium.

This dataset comprises historical orthophotos from the 1947s and 1948s, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 50 cm. The mosaics were created using aerial photography campaigns dating from 1947 and 1948. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

Buyers' origin - Natural persons corresponds to the dataset describing the origin of the buyers (natural persons) of real estate located in Belgium according to their municipality of residence for residents and according to their country or territory of residence for the non-residents (residence at the date of the deed). This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels acquired by buyers from each Belgian municipality and the number of parcels acquired by buyers from each country or territory. The number of parcels takes into account the shares actually acquired. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.