Denmark GIS data

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Country Boundary provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Regioner Postcodes1 Landsdeler Postcodes2 Kommuner Postcodes4

Dette datasæt udstiller tykkelseskort over Holocæne og senglaciale aflejringer i danske havområder. Kortene er udarbejdet af GEUS i samarbejde med NIRAS og Miljøstyrelsen som led i Energistyrelsens geologiske screening for storskala havvind. Formålet med datasættet er at give et detaljeret geologisk grundlag, der kan understøtte planlægningen af havvindprojekter i Danmark. De udstillede kort viser variationer i aflejringernes tykkelse og udgør en central reference i NIRAS’ følsomhedsstudie, som vurderer havområders egnethed til etablering af vindenergi. Datasættet præsenteres gennem en dedikeret GEUS-webportal og indgår som et officielt GEUS-produkt. Portalen fungerer både som udstillingsvindue for de endelige geologiske data og som et fagligt referencepunkt i forbindelse med NIRAS’ digitale rapportering.

Climate change includes nationwide modelled depth for ground water, water content in the root zone and water flow in streams as well as associated uncertainties in the periods 1991-2020, 2041-2070 and 2071-2100. Calculations for the future are based on the reference period 1991-2020. The calculations were carried out by GEUS using the DK model HIP in a grid with a resolution of 500 m for climate adaptation. Climate change for the depth to ground water can also be found in a grid with a resolution of 100 m.

Slanting photos are images taken from an airplane, which depicts the surface of the earth "seen obliquely from above". This angle makes it possible to see facades of buildings from all four corners of the world.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Kommuner Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Regioner Postcodes1 Landsdeler Postcodes2 Postcodes4

Prækvartært kort over Bornholm. Udgivet i VARV 1977. Kortlayoutet blev udarbejdet af Helge Gry i 1960 og 1969. Kortlayoutet blev udarbejdet af Helge Gry i 1960 og 1969. ENGLISH Pre-Quaternary map for Bornholm. Published in VARV 1977. The layout for the map was prepared by Helge Gry in 1960 and 1969. Layout for the map was prepared by Helge Gry in 1960 and 1969.

Ortofotos, som bruges til at understøtte den offentlige forvaltning. Ortofoto kan anvendes til blandt andet lokalplanlægning, ejendomssalg, forsikringsformål og beredskab. Ortofotos anvendes af både offentlige og private som baggrundskort og i kombination med egne data til visuelle præsentationer.

Kortene er baseret på GEUS DGU kortserie 29, 30 og 31, Geologisk kort over Danmark 1:400.000 for det Danske Bassin. 'Base Chalk' and the 'Chalk Group' by Peter Japsen & Carsten Langtofte (1991). 'Top Triassic and the Jurassic-Lower Cretaceous by Peter Japsen & Carsten Langtofte, with contributions by Torben Bidstrup (1991). 'Top Chalk' and the 'Post Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Torben Bidstrup, Kurt Milthers & Carlos Møller (1995). 'Base Chalk' and the 'Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Kurt Milthers, Carlos Møller & Ole Valdemar Vejbæk (1995). 'Base Cretaceous' and the 'Cromer Knoll Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Kurt Milthers, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995). 'Base Upper Jurassic' and the 'Upper Jurassic' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995).

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Postcodes4 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Regioner Postcodes1 Landsdeler Postcodes2 Kommuner

Kortene er baseret på GEUS' DGU-kortserie 47, 48, 49 og 50, Geologiske kort over Danmark 1:200.000 Den danske Centralgrav. 'Base Chalk' and the 'Chalk Group' by Peter Japsen & Carsten Langtofte (1991). 'Top Triassic and the Jurassic-Lower Cretaceous by Peter Japsen & Carsten Langtofte, with contributions by Torben Bidstrup (1991). 'Top Chalk' and the 'Post Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Torben Bidstrup, Kurt Milthers & Carlos Møller (1995). 'Base Chalk' and the 'Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Kurt Milthers, Carlos Møller & Ole Valdemar Vejbæk (1995). 'Base Cretaceous' and the 'Cromer Knoll Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Kurt Milthers, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995). 'Base Upper Jurassic' and the 'Upper Jurassic' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995).

Danmarks eksklusive økonomiske zone (EEZ). Grænsen til Tyskland omkring Jylland er endnu ikke fastlagt. Grænsen mellem Bornholm og Polen er nu (i 2018-2019) fastlagt og ratificeret.Denmark's exclusive economic zone (EEZ). The border with Germany around Jutland has not yet been determined. The border between Bornholm and Poland has now (in 2018-2019) been determined and ratified.

Randterms is a data product containing nationwide model calculations of hydrological conditions in the period 1990-2019, prepared by GEUS using the DK model HIP in the 100 m grid. These boundary conditions are suitable for defining and delimiting local hydrological submodels, as well as for further development of more detailed analyses and mappings for use in detailed planning.

Seawater on Land is a screening tool that shows which areas will be flooded by a particular sea level rise, e.g. in connection with storm surges or climate change. The tool can be used to identify potential floodplains. It is important to note that Seawater on Land does not take into account sewerage or seepage of the water. Seawater on land is part of Denmark's Hydrological Height Models.

Flow Extreme rain is a screening tool that visualizes the way the water will run through the landscape in case of extreme rain, where there is no sewerage or seepage. The screening tool can be used independently or combined with e.g. Bluespot. Flow extreme rain is part of Denmark's Hydrological Height Models.

The Danish Height Model 2015 is a comprehensive data collection that provides detailed historical information about the altitude conditions in Denmark.

Havbundssedimentkortet, der er opdateret i 2020, viser den geografiske fordeling af havbundssedimenterne i de danske farvande. Den givne sedimentklassificering repræsenterer den primære sedimenttype i de øverste 0,5 m af havbunden. Hver sedimentklasse er defineret ud fra den specifikke kornstørrelsesfordeling. Morænel er dog et blandet sediment af ler, sand og grus, og sedimentære bjergarter udtrykker tilstedeværelsen af aflejringer med en alder på flere millioner år og forskellig historie. På grund af den ujævne datafordeling er klassificeringerne baseret på interpolationer mellem datapunkter sammen med kendskab til den geologiske historie, vanddybder og havbundens morfologi. Derudover er tilgængelig biologisk information (fordeling af alger, ålegræs, muslingebanker osv.) inkluderet som baggrundsinformation. The Seabed sediment map, which is updated in 2020, shows the spatial distribution of the seabed sediments in the Danish waters. The given sediment classification represents the major sediment type of the upper 0.5 m of the seabed. Each sediment class is defined based on the specific grain size distribution. However, till is a mixed sediment of clay, sand and gravel, and sedimentary rocks express the presence of deposits with an age of several million years and different histories. Due to the uneven data distribution, the classifications are based on interpolations between data points together with the knowledge of the geological history the water depths and seabed morphology. Furthermore, available biological information (distribution of algae, eelgrass, mussel beds etc.) has been included as background information.

The Digital Geological Map of Denmark 1:25,000, version 7.0, is a nationwide geological dataset describing the distribution of near-surface soil and sediment types across Denmark. The dataset is produced and maintained by the Geological Survey of Denmark and Greenland (GEUS) and represents the latest version of the digital soil and sediment map at a scale of 1:25,000. The map is based on an integrated interpretation of geological field observations, borehole data, historical analogue maps, and more recent digital datasets. Soil and sediment units are classified according to their lithological and genetic characteristics and represent the dominant materials in the uppermost geological layers. The dataset is continuously updated, and version 7.0 includes both revisions of previously mapped areas and newly mapped regions. The dataset is widely used as a foundation for geological analysis, land-use planning, environmental assessment, groundwater protection, raw material management, research, and education. In version 7 from 2023, 93% of Denmark's land area is classified, and the map is continuously supplemented. The map and sediment type description are published in GEUS report 2023/29, where further information is available. Official metadata Purpose To provide a detailed, consistent, and up-to-date geological map of near-surface soil and sediment types in Denmark for management, analysis, planning, and research purposes. Lineage The Digital Geological Map version 7.0 is the product of a long-term geological data acquisition and mapping program in Denmark. Field surveys and geological observations were carried out from approximately 1888 up to the publication year of 2023. The map is based on compiled geological data from interpreted field maps, boreholes, and systematic digitization of historical analogue maps. Version 7 includes additional mapped areas beyond earlier versions and was produced by the Geological Survey of Denmark and Greenland (GEUS).

Europe - Satellite images provide access to European satellite images. The product is part of Open Maps for Europe, which offers free map solutions from more than 40 European countries.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Postcodes2 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Regioner Postcodes1 Landsdeler Kommuner Postcodes4

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Regioner Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Postcodes1 Landsdeler Postcodes2 Kommuner Postcodes4

Bluespot is a screening tool used to identify which hollows in the terrain will be filled with water after a given amount of precipitation. It is important to be aware that Bluespot does not take into account sewerage or seepage of the water. Bluespot is part of Denmark's Hydrological Height Models.

Tykkelsen af de kvartære aflejringer i Danmark er beregnet som forskellen mellem terræn (KMS - højdemodel 2008) og toppen af den prækvartære periode (GEUS - prækvartær højdeforhold). ENGLISH The thickness of the Quaternary deposits in Denmark is calculated as the difference between terrain (KMS - height model 2008) and the top of the pre-Quaternary (GEUS - pre-Quaternary height ratio).

Kortet viser procentdelen af nitrattilbageholdelse i grund- og overfladevandet, før det når kysten, beregnet som et gennemsnit for perioden 1990-2010. Kvælstoftilbageholdelsen er beregnet med den Nationale Kvælstofmodel som en gennemsnitlig tilbageholdelse for perioden 1990-2010. Kortproduktion og modelbeskrivelse er dokumenteret i to rapporter (på dansk): National kvælstofmodel - version 2020, GEUS særrapport. Metoderapport: ISBN 978-87-7871-551-7. Bilag: ISBN 978-87-7871-552-4.Den Nationale Kvælstofmodel version 2020 er beskrevet i: National kvælstofmodel - version 2020, GEUS særrapport. Metoderapport: ISBN 978-87-7871-551-7. Bilag: ISBN 978-87-7871-552-4. Begge rapporter kan downloades fra www.geus.dk. ENGLISH The map shows the percentage of nitrate retention in the subsurface and surface waters before they reach the coast calculated as an average for the period 1990-2010. The nitrogen retention is calculated with the National Nitrogen Model as an average retention for the period 1990-2010. Map production and model description are documentet in two reports (in Danish): National kvælstofmodel - version 2020, GEUS special report. Method report: ISBN 978-87-7871-551-7. Appendicies: ISBN 978-87-7871-552-4.The National Nitrogen Model version 2020 is described in: National nitrogen model - version 2020, GEUS special report. Method report: ISBN 978-87-7871-551-7 Appendix: ISBN 978-87-7871-552-4. Both reports can be downloaded from www.geus.dk.

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Denmark Landsdeler Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from Geodatastyrelsen 2016, updated to vintage 2023 by Michael Bauer Research Gmbh with data from the Danish Agency for Data Supply and Efficiency (datafordeler.dk), Denmark''s Administrative Geographical Divisions, March 2023. These were published in March 2024. Other administrative boundaries for this country are also available: Country Regioner Postcodes1 Postcodes2 Kommuner Postcodes4

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Denmark **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.2232 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.1015 million km (45.4732%) - Unpaved roads: 0.0388 million km (17.3833%) About 0.0829 million km (37.1435%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0003 million km (0.3113%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

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Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Low measuring table leaves are historical, topographical maps from the period 1901-1971.

An area is designated as mapped at knowledge level 1 (V1), if there is obtained an actual knowledge of activities on the area or activities on other areas that may have been the source of soil contamination on that area. DK-Jord contains data on soil contamination. Data have been collected in connection with the regions' and the former counties' work on mapping, surveys, etc. concerning soil contamination. DK-Jord contains information on which areas have been mapped at knowledge level 1 (V1) or knowledge level 2 (V2), cf. the Soil Pollution Act. DK-Jord also contains information on which areas are located (LOK), deleted before mapping (UIK) or deleted after mapping (UEK). Localised areas are the areas on which the region has information that has not yet been assessed in relation to mapping, cf. the Soil Pollution Act. Data is associated with localities and a locality may contain several plots/areas. Data on localised areas in the municipalities of Copenhagen and Tårnby are not reported. Please note that other additional data that exist at site level may not apply to all plots/areas under each site. In addition, it should be noted that other supplementary data may vary in scope and quality. We reserve the right to make any input errors, and we would like to point out that DK-Jord is regularly updated.

Sub-basins include two nationwide digital catchment maps showing river basins and river basins. This information is displayed and used in the Hydrological Information and Forecasting System at hipdata.dk. The purpose of the maps is to support the work on holistic climate adaptation for river systems.

The data set contains areas with oil and gas deposits to which permits under Section 5(1) of the Underground Resources Exploitation Act have been extended for the purpose of abstraction. The dataset is updated ad hoc and exists as a shape file with polygons. The boundaries of contractually defined geographical coordinates based on ED 50. The dataset is projected in UTM zone 32N based on ED 50. Further information on the oil and gas deposits can be found in the Danish Energy Agency's annual reports on "Denmark's oil and gas production and other uses of the subsoil".

The 2007 Danish Height Model includes detailed historical information on the altitude conditions in Denmark. The terrain model is a digital model that describes the altitude of the terrain in relation to the average sea level. The terrain model is a digital model that describes the altitude of the terrain in relation to the average sea level.