https://publish.geo.be/geonetwork/F0ow2Say/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/F0ow2Say/api/records
total items: 331
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items per page: 10

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: belgian composite
record: RMI DATASET BELGIAN COMPOSITE
dataset: appobs
record: RMI DATASET APPOBS
dataset: aws 10min
record: RMI DATASET AWS 10MIN
dataset: commune forecast 1h
record: RMI DATASET COMMUNE FORECAST 1H
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: RMI DATASET BELGIAN COMPOSITE
dataset: Belgian rainfall composite
dataset: RMI DATASET APPOBS
dataset: User reports from the RMI smartphone app
dataset: RMI DATASET AWS 10MIN
dataset: Automatic weather station (AWS) 10-min observations
dataset: RMI DATASET COMMUNE FORECAST 1H
dataset: Commune hourly forecasts
dataset: Atmospheric conditions
dataset: infoFeatureAccessService
dataset: geology
dataset: Geology
dataset: Meteorological geographical features
dataset: WWW:LINK-1.0-http--link-
dataset: appobs:appobs
dataset: Documentation
dataset: OGC:WFS-
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications INFWWSurv EN.pdf
dataset: OGC:WMS-
dataset: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/Inheritances 20241231 TechSpec NL.pdf
dataset: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
dataset: BMDC Geoserver WFS GetCapabilities
dataset: aws:aws_10min
dataset: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/PropertyDynamics 20250101 TechSpec NL.pdf
dataset: Federal download service
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
dataset: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/BuyersOriginNaturalPersons 20241231 TechSpec NL.pdf
dataset: Royal Meteorological Institute of Belgium
dataset: Sciensano
dataset: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
dataset: Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell

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

Belgian rainfall composite
type: Dataset
abstract: The composite is produced every 5 minutes using the reflectivity data from the Wideumont and Jabbeke weather radars. This product is not publicly available yet.
keyword: federal government
keyword: radar
keyword: observation
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-1.1357 47.3877, -1.1357 53.4503, 9.7986 53.4503, 9.7986 47.3877, -1.1357 47.3877))
temporal: 2016-04-01T00:00:00 /
updated: 2025-10-20
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
data quality: The rainfall composite combines 2D products from the Wideumont, Jabbeke and Zaventem weather radars. Reflectivity values are converted into rainrates using the Marshall-Palmer relation. For each pixel, the maximum value of the three products is taken. The effective coverage of the composite is smaller than the bounding box. It is determined by the maximum ranges of the three radars, i.e. 250 km for Wideumont, 300 km for Jabbeke, and 250 km for Zaventem.

User reports from the RMI smartphone app
type: Dataset
abstract: Since August 2019, users of the RMI smartphone app are able to send an observation of the meteorological conditions at a certain place and a certain time. The observations provide information about the weather conditions and potentially severe weather to the other users and to RMI. The collection of citizen weather reports is a valuable complement to the information obtained with the classical instruments like stations, radar and satellite. The data can be exploited for nowcasting, warnings and model verification, and eventually in assimilation. A general introduction of the data and their characteristics can be found in Reyniers et al. (2023). A basic quality control is implemented on the received observations via a plausibility check. This plausibility check determines whether an observation is plausible, suspicious or false, by comparing it to the INCA-BE nowcasting system using a simple thresholding scheme. INCA-BE is RMI's operational nowcasting system described in Reyniers et al. (2021). There is no strict spatial extent since there is no restriction at the input side: users can send observations from all over the globe. The bulk of the observations are received from within Belgium. Note that the plausibility check is not available for reports from outside Belgium.
keyword: federal government
keyword: crowdsourscing
keyword: citizen science
keyword: severe weather
keyword: natural risks
keyword: cloudiness
keyword: precipitation
keyword: hail
keyword: wind
keyword: wind gust
keyword: whirlwind
keyword: floods
keyword: snow
keyword: road conditions
keyword: fog
keyword: optical phenomena
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-149.82 -42.60, -149.82 69.65, 175.46 69.65, 175.46 -42.60, -149.82 -42.60))
temporal: 2019-08-01T00:00:00 /
issued: 2019-08-01
publisher: Royal Meteorological Institute of Belgium
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Scientific publications should refer to https://doi.org/10.5194/ecss2023-50
distribution: WWW:LINK-1.0-http--link-
distribution: appobs:appobs
distribution: Documentation
data quality: A basic quality control is implemented in the form of a plausibility check. Possible outcomes of this plausibility check for the validity of an observation are: 'possible', 'suspicious' or 'false'. This assessment is made immediately after the reception of the observation by comparing it to the latest INCA-BE output. There is no offline revision of this plausibility at a later time.

https://publish.geo.be:/geonetwork/records/a27da9c0-6c85-11f0-9e86-00be433d8c24
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-21
modified: 2026-01-21

National wastewater-based epidemiological surveillance of influenza (flu)
type: Dataset
abstract: The national wastewater-based epidemiological surveillance of influenza (commonly known as flu) monitors the influenza 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 influenza 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, Influenza, Flu
theme: Human health and safety
theme: Environmental monitoring facilities
theme: Federal viewer
theme: Federal catalog
theme: Health
theme: Environmental data
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: 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 INFWWSurv EN.pdf
distribution: WWW:LINK-1.0-http--link-
distribution: OGC:WMS-
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 are analysed, one targeting the matrix protein gene for influenza A and one targeting the hemagglutinin gene for influenza B. 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/9f6b68ee-d9cb-11f0-bc0e-00be432db085
type: CatalogRecord
conforms to: 32557.html
issued: 2025-12-17
modified: 2025-12-17

Inheritances
type: Dataset
abstract: Inheritances corresponds to the dataset describing declarations of estate and the value of the assets included therein. This dataset is composed of five classes. The first class includes, at the national level, by age group, gender, and type of property, the number of deceased persons, the total value of the property, the median value of the property, the 25th and 75th percentiles of the value of the property, and the standard deviation of the value of the property. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, districts, and municipalities. The geographical distribution is based on the deceased's tax domicile. Since January 1, 2015, the FPS Finance is no longer responsible for the estates of deceased persons with a tax domicile in Flanders. Only data for tax domiciles located in the Walloon Region and the Brussels-Capital Region are included in the dataset. The dataset can be downloaded free of charge in zipped CSV format.
theme: Cadastral parcels
theme: transfer of property
theme: real property
theme: housing
theme: private property
theme: land register
theme: land and buildings
theme: law of succession
theme: inheritance
theme: Population and society
theme: Building
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: 2025-12-17
updated: 2025-12-17
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/Inheritances 20241231 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: Inheritances is based on the reference database for the management of inheritance cases and the database of natural persons. The former contains details of each deceased person and their declarations of estate. The second database contains, for each natural person, various pieces of information from the National Register, which is the authentic source for Belgian natural persons or for foreigners domiciled in Belgium, or from the BIS Register, which is the authentic source for foreigners who have interests in Belgium but are not domiciled there.

https://publish.geo.be:/geonetwork/records/aeaeaab2-10ac-48ac-922f-077a831a61c5
type: CatalogRecord
conforms to: 32557.html
issued: 2022-12-07
modified: 2022-12-07

INSPIRE download service for the core sample collection dataset-WFS
abstract: INSPIRE compliant download service (WFS) for geographic information of the core sample collection made available by the Royal Belgian Institute for Natural Sciences (RBINS).
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Geology
theme: infoFeatureAccessService
theme: geology
theme: Geology
theme: Energy
theme: Geology and physical relief
theme: National
publisher: Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
license: No limitations on public access
license: No conditions apply to access and use
distribution: OGC:WFS-
distribution: BMDC Geoserver WFS GetCapabilities
relation: bmdc.be:dataset:2420

Automatic weather station (AWS) 10-min observations
type: Dataset
abstract: 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.
keyword: Reporting INSPIRE
keyword: federal government
keyword: observation
keyword: air pressure
keyword: air temperature
keyword: ground temperature
keyword: relative humidity
keyword: precipitation
keyword: wind
keyword: sunshine duration
keyword: shortwave radiation
keyword: infrared radiation
theme: Meteorological geographical features
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.652403 49.507871, 2.652403 51.347375, 6.232928668 51.347375, 6.232928668 49.507871, 2.652403 49.507871))
temporal: 1995-01-01T00:10:00 /
issued: 1995-01-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
distribution: aws:aws_10min
distribution: Documentation
data quality: 10-min AWS observations

https://publish.geo.be:/geonetwork/records/219cd997-631a-11f0-bb32-00be432db085
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Real estate property dynamics
type: Dataset
abstract: 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.
theme: Cadastral parcels
theme: transfer of property
theme: land and buildings
theme: land register
theme: housing
theme: acquisition of property
theme: real property
theme: Population and society
theme: AgriBuilding
theme: federal government
theme: social dynamics
theme: right of property
theme: land and property register
theme: National
theme: planningCadastre
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: 2025-07-22
updated: 2025-07-22
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/PropertyDynamics 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: Real estate property dynamics is based on the cadastral reference database. For each parcel, this database records its cadastral nature (i.e. its occupation), the holders of real rights, the nature of their rights and the start and end dates of these rights.

https://publish.geo.be:/geonetwork/records/a9ab14e0-adbc-452e-9042-3614a123c97c
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-19
modified: 2026-02-19

Top10Vector - Railway network
type: Dataset
abstract: Top10Vector – Railway network is the dataset of the railway network in Belgium. This data set includes three classes. First class: rail network kilometer markers. Second class: railway stop. Third class: railway track segments. This dataset can be downloaded via the hyperlink in 'Access'.
keyword: HVD_cat_transport networks
theme: Transport
theme: Mobility
theme: National
theme: Transport networks
theme: federal government
theme: transportation
theme: railway network
theme: road network
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.52232 49.48926, 2.52232 51.50983, 6.42323 51.50983, 6.42323 49.48926, 2.52232 49.48926))
issued: 2017-03-16
updated: 2026-01-23
publisher: National Geographic Institute
accrual periodicity: quarterly
granularity: 10000
language: dut
language: fre
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: OGC:WMS-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: Federal download service
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
data quality: The data have been collected in two different ways: on the one hand, by field survey, writing down the attribute data on mat-pale photographs, followed by the photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates) and finally the topological cleaning up and the import of the attribute data in a 2D-database. On the other hand, by photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates), followed by the import (on-site) of the attribute data in the CAD-files and finally the topological cleaning up in a 2D-database.During the dataloading into the new ITGI-model, the contents of the 2D-database have been mapped and converted into a database with Lambert2008-coordinates. The z-coordinate was recovered from the photogrammetric restitution's CAD-files or calculated on the basis of the DTM.

Commune hourly forecasts
type: Dataset
abstract: Hourly forecasts for each belgian commune, from current hour up to the next 5 days. This product is not publically available.
keyword: Reporting INSPIRE
keyword: federal government
keyword: forecast
keyword: nowcasting
keyword: temperature
keyword: wind
keyword: precipitation
keyword: rain
keyword: snow
keyword: dewpoint temperature
keyword: cloud cover
keyword: relative humidity
keyword: specific humidity
keyword: visibility
keyword: wind chill
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.44 49.43, 2.44 51.55, 6.60 51.55, 6.60 49.43, 2.44 49.43))
temporal: 2018-01-01T00:00:00 /
issued: 2018-01-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
data quality: RMI forecasters analyze all the available numeric models and choose those reflecting the situation in Belgium best. These model forecasts are then corrected by the forecasters themselves. Monthly statistics are generated to evaluate the quality of the model data and the accuracy of the corrections applied by the forecasters.

https://publish.geo.be:/geonetwork/records/b90b50be-9dfc-11f0-99e9-00be432db085
type: CatalogRecord
conforms to: 32557.html
issued: 2025-10-06
modified: 2025-10-06

Buyers' origin - Natural persons
type: Dataset
abstract: 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.
theme: Cadastral parcels
theme: transfer of property
theme: real property
theme: housing
theme: private property
theme: land register
theme: land and buildings
theme: Population and society
theme: Building
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: 2025-10-03
updated: 2025-10-03
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
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data quality: Buyers' origin - Natural persons is compiled from the contents of the reference database for the record of real estate deeds. The database records for each deed, the real right concerned, the identification of the parties and the situation of the real estate property concerned as well as its land register nature. The second database contains, for each natural person, various pieces of information from the National Register, which is the authentic source for Belgian natural persons or for foreigners domiciled in Belgium, or from the BIS Register, which is the authentic source for foreigners who have interests in Belgium but are not domiciled there.

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