240d25e4-8c5a-4a9b-852d-3d38773545a2 Dataset German Aerospace Center (DLR) geoservice@dlr.de 2026-02-02T15:24:49 ISO 19115-1:2014/19139 2 6413 100 8675 100 false EPSG:3035 - ETRS89-extended / LAEA Europe Degree of Urbanization - Germany, 2018 2026-02-02T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/240d25e4-8c5a-4a9b-852d-3d38773545a2 DOI: 10.15489/rskmh269c925 The degree of urbanization provides urbanization level information at 100x100 meter grids for Germany. It is based on population numbers, building density and the share of building types. It is provided as a continuous percentage value representing the probability of the degree of urbanization, as well as five discrete values representing classes of the degree of urbanization: definitely ‘urban’, probably ‘urban’, area of uncertainty, probably ‘rural’, definitely ‘rural’. More differentiated statistical analysis of space – target group, e.g., State Office for the Environment (LfU), DeStatis, Federal Office for Population Research, Federal Office for Building, Urban Planning, and Regional Development (BBSR), or similar institutions as well as researchers. German Aerospace Center (DLR) Hannes.Taubenboeck@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/240d25e4-8c5a-4a9b-852d-3d38773545a2/attachments/urban_deg_de_ql.png thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/240d25e4-8c5a-4a9b-852d-3d38773545a2/attachments/urban_deg_de_ql_s.png thumbnail Land cover Buildings GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme National Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en DLR EOC Degree of urbanization urban rural spatial statistics building density population density Germany opendata Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. There are no limitations on public access to spatial data sets and services. Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/ {"id": "cc-by-4.0", "name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (2026)"} 200000 society 6.0926 15.5865 47.1996 55.0773 2018-01-01T00:00:00 2018-12-31T23:59:59 GeoTIFF https://download.geoservice.dlr.de/URBANIZATION_DEGREE/files/ WWW:LINK-1.0-http--link HTTP download Degree of Urbanization Germany https://doi.org/10.1016/j.compenvurbsys.2022.101830 WWW:LINK-1.0-http--link Scientific publication https://elib.dlr.de/195853/1/bbsr-online-18-2023_Taubenb%C3%B6ck%20et%20al.pdf WWW:LINK-1.0-http--link Scientific publication Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification. true (1) Administrative municipal units of Germany (BKG) (BKG, 2020). (2) Census data on the population in 100x100-meter grid cells (DeStatis, 2020). Here, we refer to population data from 2018. These were projected based on census data from 2011 to 2018. (3) Level of detail 1 (LoD-1): Official building models with information on floor space and building height (BKG, 2021), and (4) Data on definitions of the degree of urbanization from World Urbanization Prospects (UN, 2020) Processing:The Degree of Urbanization was created based on 29 different urbanization layers, which reflect various definitions of urban space. Fifteen definitions are based on administrative interpretations of “urban space.” These definitions were applied to Germany from various countries around the world. The remaining 14 layers were generated using variable threshold values at the grid level. These define the degree of urbanization according to different thresholds (i.e. 1%, 25%, 50%, 75%, and 99%) based on different variables, such as the proportion of built-up area, the number of inhabitants, or the proportion of multi-family houses. These 29 layers were superimposed and intersected with each other across the entire study area to obtain a probability of the degree of urbanization. Quality Assurance: The input data is comprehensive, largely consistent, and, compared to data sets from other large-scale studies on the degree of urbanization, offers unprecedented spatial and thematic resolution. Since the data sets originate from official databases, we are confident that errors are relatively minor and that our results are generally reliable. Nevertheless, they contain errors in terms of completeness, consistency, and accuracy. Due to the lack of better data sets, we cannot quantify this error here, which means that the impact on the degree of urbanization cannot be quantified.