RMI operates a network of 17 automatic weather stations in Belgium. These weather stations report meteorological paramaters such as air pressure, temperature, relative humidity, precipitation (quantity,duration), wind (speed, gust, direction), sunshine duration, shortwave solar radiation and infrared radiation every 10 minutes. Daily AWS data are computed from the 10-min observations.

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.

The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.

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

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.

Hourly forecasts for each belgian commune, from current hour up to the next 5 days. This product is not publically available.

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.

Daily forecasts for each Belgian commune, from current day up to the next 14 days. Available parameters are : min temperature, max temperature, weather type, wind speed, wind direction, maximum hust speed, quantity of precipitation. This product is not publicly available.

Foreign real estate - Owners' profile corresponds to the dataset describing the profile of Belgian taxpayers (natural persons) holding real estate abroad. This dataset is composed of five classes. The first shows, at national level, by age and sex category, the number of individuals holding a real right that allows enjoyment over foreign property, the total number of foreign properties held by these individuals, and the number of properties by foreign country or territory. The number of properties takes into account the shares actually held. The second class presents this information at the level of the three regions. The following classes do the same for provinces, arrondissements and communes. The dataset is freely downloadable as zipped CSV files.

Real estate sales - Profile of the buyers corresponds to the dataset describing the profile of the buyers (natural persons) of real estate. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and by price range the number of real estate property that was sold as well as the number of buyers broken down by age and gender categories. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.