--- attributions: - entity: affiliation: null email: null name: Schiavina M. url: https://human-settlement.emergency.copernicus.eu/ghs_pop2023.php id: '0' role: author - entity: affiliation: null email: null name: EC Joint Research Centre url: https://data.jrc.ec.europa.eu/dataset/2ff68a52-5b5b-4a22-8f40-c41da8332cfe id: '1' role: resource_provider catalog: null contact_point: affiliation: null email: jrc-ghsl-data@ec.europa.eu name: JRC GHSL url: https://data.jrc.ec.europa.eu/dataset/2ff68a52-5b5b-4a22-8f40-c41da8332cfe creator: affiliation: null email: null name: EC Joint Research Centre url: https://human-settlement.emergency.copernicus.eu/ghs_pop2023.php dataset_id: rdls_exp-jrc_ghspopulationgridmultitem description: The spatial raster dataset depicts the distribution of residential population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, volume, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch. details: 'This dataset is an update of the product released in 2022. Major improvements are the following: use of built-up volume maps (GHS-BUILT-V R2022A); use of more recent and detailed population estimates derived from GPWv4.11 integrating both UN World Population Prospects 2022 country population data and World Urbanisation Prospects 2018 data on Cities; revision of GPWv4.11 population growthrates by convergence to upper administrative level growthrates; systematic improvement of census coastlines; systematic revision of census units declared as unpopulated; integration of non-residential built-up volume information (GHS-BUILT-V_NRES R2023A); spatial resolution of 100m Mollweide (and 3 arcseconds in WGS84); projections to 2030.' exposure: - asset_type: description: null id: sei-pop scheme: GED4ALL title: null uri: null category: population id: rdls_exp-jrc_ghspopulationgridmultitem_exp metrics: - dimension: population id: rdls_exp-jrc_ghspopulationgridmultitem_m1 measurement: quantity_kind: count unit: null hazard: null license: CC-BY-4.0 lineage: null links: - href: https://docs.riskdatalibrary.org/en/1__0__0/rdls_schema.json rel: describedby loss: null project: name: GHSL - Global Human Settlement Layer url: null publisher: affiliation: null email: null name: JRC url: https://human-settlement.emergency.copernicus.eu/ purpose: null referenced_by: - author_names: - Marcello Schiavina - Sergio Freire - Alessandra Carioli - Kytt MacManus date_published: '2023-01-01' doi: 10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE id: '0' name: GHS-POP R2023A - GHS population grid multitemporal (1975-2030) url: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe - author_names: - Thomas Kemper date_published: '2023-01-01' doi: 10.2760/098587 id: '1' name: GHSL Data Package 2023 report url: https://human-settlement.emergency.copernicus.eu/documents/GHSL_Data_Package_2023.pdf?t=1716923464 resources: - access_url: https://human-settlement.emergency.copernicus.eu/download.php?ds=pop baseline_period: null climate: null conforms_to: null coordinate_system: ESRI:54009 description: The product is available for different epochs, resolutions and coordinate systems, but not all the combinations are available. download_url: null format: geotiff id: '0' media_type: null spatial: null spatial_aggregation: null spatial_resolution: null temporal: central_year: null duration: null end: '2030' start: '1975' temporal_resolution: P5Y title: GHS population grid (R2023) risk_data_type: - exposure schema: rdls-10 slug: rdls_exp-jrc_ghspopulationgridmultitem spatial: bbox: null centroid: null countries: - GLO gazetteer_entries: [] scale: global spatial_resolution: null temporal: null temporal_resolution: null title: GHS population grid multitemporal (1975-2030) version: R2023 vulnerability: null ---