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geo.be Metadata Catalog
type: Catalog
label: geo.be Metadata Catalog (National Geographic Institute)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: National Geographic Institute
themes: Data.gov.be themes
themes: GEMET
themes: INSPIRE glossary
themes: Belgian Federal Thesaurus
themes: Classification of spatial data services
themes: Spatial scope
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
themes: Continents, countries, sea regions of the world.
themes: INSPIRE priority data set
themes: INSPIRE layer register
themes: INSPIRE feature concept dictionary
language: eng
dataset: BE SB TF PD STATDIS
dataset: National Geographic Institute
dataset: Data.gov.be themes
dataset: GEMET
dataset: INSPIRE glossary
dataset: Belgian Federal Thesaurus
dataset: Classification of spatial data services
dataset: Spatial scope
dataset: INSPIRE media-types register
dataset: GEMET - INSPIRE themes, version 1.0
dataset: Continents, countries, sea regions of the world.
dataset: INSPIRE priority data set
dataset: INSPIRE layer register
dataset: INSPIRE feature concept dictionary
dataset: Population distribution per statistical sector - Belgium
dataset: OGC:WFS-
dataset: OGC:WMS-
dataset: INSPIRE Atom-
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: WWW:LINK-1.0-http--link-
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications RSVWWSurv EN.pdf
dataset: precipitationindices-2085
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/6dae1ca4-387b-11eb-8113-00155d109d37-en.xml
dataset: View service - Historical orthophotos 2010s
dataset: INSPIRE WMS
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/POI spectech EN.pdf
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications CoVWWSurv catchments EN.pdf
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User guide climate indicators geobe.pdf
dataset: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User guide geo.be.pdf
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/en/open-data/statistical-sectors-2025
dataset: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/OwnersOriginLLegalPersons 20250101 TechSpec NL.pdf
dataset: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/69ff70d1-012a-4483-9a75-03233f145556-en.xml
dataset: Sciensano
dataset: Belgian Climate Centre
dataset: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
dataset: FPS Finance - General Administration of Patrimonial Documentation (GAPD)

National Geographic Institute
type: Organization

Data.gov.be themes
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE glossary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Belgian Federal Thesaurus
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Classification of spatial data services
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Spatial scope
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)

INSPIRE media-types register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET - INSPIRE themes, version 1.0
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE priority data set
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE layer register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE feature concept dictionary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

https://publish.geo.be:/geonetwork/records/e6681f9f-6c76-11f0-bb07-00be433d8c24
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-21
modified: 2026-01-21

National wastewater-based epidemiological surveillance of respiratory syncytial virus (RSV)
type: Dataset
abstract: 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.
keyword: Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, RSV, Respiratory syncytial virus
theme: Environmental monitoring facilities
theme: Human health and safety
theme: Health
theme: Environmental data
theme: Federal catalog
theme: Federal viewer
theme: Environment
theme: Environmental Monitoring Facility
theme: Environmental Health Determinant Measure
theme: environment
theme: applied research
theme: applied science
theme: epidemic
theme: public health
theme: human health
theme: health
theme: virus
theme: infection
theme: infectious disease
theme: human disease
theme: disease
theme: waste water
theme: epidemiology
theme: federal government
theme: National
theme: inlandWaters
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2024-01-01
updated: 2026
publisher: Sciensano
accrual periodicity: weekly
language: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
license: No limitations on public access
distribution: OGC:WFS-
distribution: OGC:WMS-
distribution: INSPIRE Atom-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications RSVWWSurv EN.pdf
data quality: The surveillance started in January 2024 for the whole country. Samples are collected every week at each selected wastewater treatment plant (WWTP) using 24-hour volume proportional or time proportional auto-samplers. Samples are stored at 4°C and analyzed within 24 hours. The samples from the Walloon region and Brussels-Capital Region and the provinces of West-Vlanderen, Oost-Vlanderen and Vlaams-Brabant are analyzed by the Foodborne pathogens unit of Sciensano while samples from the provinces of Antwerpen and Limburg are analyzed by the Microbiology, Parasitology and Hygiene Laboratory of the University of Antwerp. The two laboratories use a harmonized protocol. After concentration and RNA extraction, the samples are analyzed by RT-dPCR. Two gene sequences one specific to RSV subgroup A and one to subgroup B are analyzed. These sequences target the N gene encoding for the nucleoprotein. The quality of the results is checked and validated at the laboratory level. If the quality is insufficient, additional analyzes are performed. Once received by the data manager, the laboratory results undergo a second validation before being integrated in the database. The 24 hours-representative flow rates of each WWTP are collected using flowmeters and are provided by the wastewater agencies (Hydria and Aquiris for the WWTPs of Brussels, Société Publique de Gestion de l'Eau (SPGE) for the WWTPs of Wallonia and Aquafin for the WWTPs of Flanders). Domestic inhabitant equivalents (IE) are used to estimate the population coverage of each WWTP. IE are based on several data sources (population data, building type data, connection to the network and WWTPs geographical coverage data). IE are provided by SPGE in Wallonia and by the Vlaamse Milieumaatschappij (VMM) in Flanders. In Brussels the population is estimated based on the data provided by Statbel. The data provided by the wastewater agencies and VMM are validated by the data manager before being integrated in the database.

https://publish.geo.be:/geonetwork/records/350f1ade-ca79-11ee-bfb1-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Precipitation indices - 2085
type: Dataset
abstract: 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.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Environmental data
theme: Meteorology, weather and radiation conditions
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: precipitationindices-2085
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

https://publish.geo.be:/geonetwork/records/e7967e70-ca78-11ee-b4e8-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Precipitation extremes - 2085
type: Dataset
abstract: Summer and winter maximum daily precipitation given in mm/day that occur once in a year and once in 5, 10, 15 and 30 years (i.e. return periods of 1 year and 5, 10, 15, 30 years). The precipitation extremes 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.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Environmental data
theme: Meteorology, weather and radiation conditions
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-precipitationextremes-2085
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

https://publish.geo.be:/geonetwork/records/6dae1ca4-387b-11eb-8113-00155d109d37
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-19
modified: 2026-02-19

Buildings
type: Dataset
abstract: Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.
keyword: HVD_cat_buildings
theme: Science and technology
theme: Buildings
theme: Occupation and planning of sea and land areas
theme: Federal Atom
theme: Reporting INSPIRE
theme: Abstract Construction
theme: AgriBuilding
theme: building
theme: federal government
theme: National
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2020-10-25
updated: 2020-10-25
publisher: National Geographic Institute
accrual periodicity: notPlanned
granularity: 10000
language: ger
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/6dae1ca4-387b-11eb-8113-00155d109d37-en.xml
distribution: View service - Historical orthophotos 2010s
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE WMS
data quality: The INSPIRE data set is generated from the TOP10Vector-contruction data source . https://www.geo.be/catalog/details/1f4296b0-76f6-4f1b-8880-315406b367e1?l=en

https://publish.geo.be:/geonetwork/records/6c697427-8b2e-4bc6-8737-50e7cf12f5b4
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

POI - Elements of general interest
type: Dataset
abstract: 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.
keyword: POI
keyword: HVD_cat_land use, HVD_cat_buidings
theme: Utility and governmental services
theme: Buildings
theme: Occupation and planning of sea and land areas
theme: Health
theme: Point Observation
theme: Governmental Service
theme: Activity Complex
theme: AgriBuilding
theme: point
theme: sports facility
theme: training centre
theme: public domain
theme: educational institution
theme: police
theme: museum
theme: health facility
theme: zoological garden
theme: cultural facility
theme: fire service
theme: civilian protection
theme: National
theme: location
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2023-09-01
updated: 2025-04-03
publisher: National Geographic Institute
accrual periodicity: quarterly
granularity: 10000
language: ger
language: fre
language: dut
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/POI spectech EN.pdf
data quality: The POI dataset of the NGI was originally constructed as an auxiliary database for assigning appropriate attributes to NGI’s topographic reference data. Various sources were consulted. After checking and correcting the source data, additional POIs were added via aerial photographs or terrain observations.

https://publish.geo.be:/geonetwork/records/fcc5e161-fa39-11ed-bcc8-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

National wastewater-based epidemiological surveillance – Catchment areas
type: Dataset
abstract: 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.
keyword: Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, Illicit drugs
theme: Environment
theme: Health
theme: Human health and safety
theme: Environmental monitoring facilities
theme: Federal catalog
theme: Federal viewer
theme: Environmental data
theme: Environmental Health Determinant Measure
theme: Environmental Monitoring Facility
theme: environment
theme: applied research
theme: applied science
theme: epidemic
theme: public health
theme: human health
theme: health
theme: virus
theme: infection
theme: infectious disease
theme: human disease
theme: disease
theme: waste water
theme: epidemiology
theme: federal government
theme: National
theme: inlandWaters
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2020-06-01
updated: 2024-01-01
publisher: Sciensano
accrual periodicity: biannually
granularity: 10000
language: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
license: No limitations on public access
distribution: OGC:WFS-
distribution: OGC:WMS-
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications CoVWWSurv catchments EN.pdf
data quality: The surveillance started in mid-September 2020 for the whole country. Samples are collected every week at each wastewater treatment plant (WWTP). The catchment areas of WWTPs are provided by the Vlaamse Milieumaatschappij (VMM) in Flanders, by the Société Publique de Gestion de l'Eau (SPGE) in Wallonia and by Leefmilieu Brussel/Bruxelles Environnement in Brussels. The catchment areas were redrawn in Wallonia and Brussels to comply with the polygon style used by Flanders.

https://publish.geo.be:/geonetwork/records/bef48fa1-ca7f-11ee-916d-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

View service - Climate indicators for Belgium
abstract: Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: infoMapAccessService
theme: Federal viewer
theme: Meteorology, weather and radiation conditions
theme: Environmental data
theme: Environment
theme: Atmospheric conditions
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
issued: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: OGC:WMS-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User guide climate indicators geobe.pdf
distribution: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User guide geo.be.pdf

https://publish.geo.be:/geonetwork/records/0202b8dd-1c7e-4331-8ba7-35e1fef4037a
type: CatalogRecord
primary topic: BE SB TF PD STATDIS
conforms to: 32557.html
issued: 2025-11-19
modified: 2025-11-19

Population distribution per statistical sector - Belgium
type: Dataset
abstract: The files contain the population characteristics (total, gender and/or age groups) by statistical sector in Belgium on January 1st, according to the Belgian definition of the population. The Belgian definition does not take into account the 12-months criterion and excludes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.
theme: Population and society
theme: Reporting INSPIRE
theme: Administrative, statistical and cadastral units
theme: Federal Atom
theme: National
theme: Population distribution — demography
theme: Statistical Distribution
theme: population distribution
theme: federal government
theme: human population
theme: demography
theme: society
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.55 49.50, 2.55 51.51, 6.41 51.51, 6.41 49.50, 2.55 49.50))
issued: 2016-03-31T16:00:00
publisher: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
granularity: 10000
language: eng
license: An open data license is available in French an Dutch See https://statbel.fgov.be/en/open-data
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-https://statbel.fgov.be/en/open-data/statistical-sectors-2025
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: OGC:WMS-
data quality: These files are definitive. The statistics are derived from the National Population Register which contains every person living on the Belgian territory and their residential address. Statbel (Statistics Belgium) assigns geographic coordinates to every person by using the georeferenced address registers from the regions and from the the Land registration authority. So demographic statistics can be produced for every statistical district by aggregation of point data.

https://publish.geo.be:/geonetwork/records/4bf5a3ef-6704-11f0-80b2-00be432db085
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Owners' origin - Real estate companies
type: Dataset
abstract: Owners' origin - Real estate companies corresponds to the dataset describing the origin of the legal persons engaged in real estate activities (section L of the NACE-BEL 2008 nomenclature) that are holders of real rights over immovable properties located in Belgium according to the municipality of their headquarters for legal persons settled in Belgium and according to the country or territory of their headquarters for foreign legal persons. 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 held by holders from each Belgian municipality and the number of parcels held by holders from each country or territory. The number of parcels takes into account the shares actually held. 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.
theme: Cadastral parcels
theme: real property
theme: housing
theme: private property
theme: land register
theme: land and buildings
theme: Population and society
theme: AgriBuilding
theme: taxation
theme: federal government
theme: National
theme: society
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2025-07-25
updated: 2025-07-25
publisher: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
accrual periodicity: annually
language: ger
language: fre
language: dut
language: eng
license: The licence is fully available in French (https://finances.belgium.be/sites/default/files/Licence_plan_opendata_FR.PDF) or in Dutch (https://financien.belgium.be/sites/default/files/Licentie_plan_opendata_NL.PDF).
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/OwnersOriginLLegalPersons 20250101 TechSpec NL.pdf
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
data quality: Owners’ origin - Real estate companies is based on the reference cadastral database and the database relating to legal persons. The former records for each parcel, the cadastral nature, the holders of real rights and the nature of their right. These variables are determined following a change in real right or following the registration of a deed. The second database contains various items of information for each legal person from the Crossroads Bank for Enterprises, the authentic source for legal persons.

https://publish.geo.be:/geonetwork/records/067c8ccb-50fa-4918-9f6b-6b1248b3bef3
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Electricity network
type: Dataset
abstract: Electricity network is the INSPIRE vector data set originated from the High-Tension network of the product TOP10Vector of the National Geographic Institute in Belgium. The Electricity network is regularly updated with the ELIA Group data sources. It includes the "ElectricityCable" features and the "Pole" features in accordance with the INSPIRE specifications.
keyword: HVD_cat_energy_resources
theme: Energy
theme: Utility and governmental services
theme: Economy and energy
theme: Reporting INSPIRE
theme: Federal Atom
theme: Electricity Cable
theme: Pole
theme: federal government
theme: electricity
theme: high voltage line
theme: National
theme: utilitiesCommunication
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2020-10-25
updated: 2020-10-25
publisher: National Geographic Institute
accrual periodicity: notPlanned
granularity: 10000
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE WMS
distribution: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/69ff70d1-012a-4483-9a75-03233f145556-en.xml
data quality: The INSPIRE data set is generated from the TOP10Vector-High-tension network data source . https://www.geo.be/catalog/details/c6c6d674-e3c5-47a9-8398-f4e1082d3e8e?l=en

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Sciensano
type: Organization

Belgian Climate Centre
type: Organization

FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
type: Organization

FPS Finance - General Administration of Patrimonial Documentation (GAPD)
type: Organization

Hadrien Maloux
type: Agent

Rozemien De Troch
type: Agent

Floor Van Damme
type: Agent

Nathalie Delattre
type: Agent

Florian Van Aubel
type: Agent

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precipitationindices-2085
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View service - Historical orthophotos 2010s
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precipitationindices-2085
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