{"id": 1130236, "name": "Projected share of population living in urban areas", "unit": "%", "createdAt": "2025-12-12T10:03:19.000Z", "updatedAt": "2026-02-24T11:30:19.000Z", "coverage": "", "timespan": "2020-2100", "datasetId": 7290, "shortUnit": "%", "columnOrder": 0, "shortName": "value__metric_popshare__location_type_urban_total__data_type_projections", "catalogPath": "grapher/urbanization/2025-12-10/ghsl_countries/ghsl_countries#value__metric_popshare__location_type_urban_total__data_type_projections", "dimensions": {"years": {"values": [{"id": 2020}, {"id": 2025}, {"id": 2030}, {"id": 2035}, {"id": 2040}, {"id": 2045}, {"id": 2050}, {"id": 2055}, {"id": 2060}, {"id": 2065}, {"id": 2070}, {"id": 2075}, {"id": 2080}, {"id": 2085}, {"id": 2090}, {"id": 2095}, {"id": 2100}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 273, "name": "Africa", "code": "OWID_AFR"}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 246, "name": "American Samoa", "code": "ASM"}, {"id": 18, "name": "Andorra", "code": "AND"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 228, "name": "Anguilla", "code": "AIA"}, {"id": 20, "name": "Antigua and Barbuda", "code": "ATG"}, {"id": 21, "name": "Argentina", "code": "ARG"}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 219, "name": "Aruba", "code": "ABW"}, {"id": 275, "name": "Asia", "code": "OWID_ASI"}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 26, "name": "Bahamas", "code": "BHS"}, {"id": 27, "name": "Bahrain", "code": "BHR"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 29, "name": "Barbados", "code": "BRB"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"id": 194, "name": "Bermuda", "code": "BMU"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 348, "name": "Bonaire Sint Eustatius and Saba", "code": "BES"}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 196, "name": "British Virgin Islands", "code": "VGB"}, {"id": 38, "name": "Brunei", "code": "BRN"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 42, "name": "Cambodia", "code": "KHM"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 45, "name": "Cape Verde", "code": "CPV"}, {"id": 197, "name": "Cayman Islands", "code": "CYM"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 199, "name": "Cook Islands", "code": "COK"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 164, "name": "Cuba", "code": "CUB"}, {"id": 279, "name": "Curacao", "code": "CUW"}, {"id": 163, "name": "Cyprus", "code": "CYP"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 154, "name": "Djibouti", "code": "DJI"}, {"id": 200, "name": "Dominica", "code": "DMA"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 157, "name": "Eritrea", "code": "ERI"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 276, "name": "Europe", "code": "OWID_EUR"}, {"id": 249, "name": "Falkland Islands", "code": "FLK"}, {"id": 250, "name": "Faroe Islands", "code": "FRO"}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 253, "name": "French Guiana", "code": "GUF"}, {"id": 203, "name": "French Polynesia", "code": "PYF"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 251, "name": "Gibraltar", "code": "GIB"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 205, "name": "Greenland", "code": "GRL"}, {"id": 206, "name": "Grenada", "code": "GRD"}, {"id": 252, "name": "Guadeloupe", "code": "GLP"}, {"id": 254, "name": "Guam", "code": "GUM"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 282, "name": "Guernsey", "code": "GGY"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 457, "name": "High-income countries", "code": "OWID_HIC"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 144, "name": "Hong Kong", "code": "HKG"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 265, "name": "Isle of Man", "code": "IMN"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 283, "name": "Jersey", "code": "JEY"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 379, "name": "Kosovo", "code": "OWID_KOS"}, {"id": 208, "name": "Kuwait", "code": "KWT"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 120, "name": "Libya", "code": "LBY"}, {"id": 209, "name": "Liechtenstein", "code": "LIE"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 461, "name": "Low-income countries", "code": "OWID_LIC"}, {"id": 460, "name": "Lower-middle-income countries", "code": "OWID_LMC"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 262, "name": "Macao", "code": "MAC"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 212, "name": "Malta", "code": "MLT"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 284, "name": "Martinique", "code": "MTQ"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 193, "name": "Mayotte", "code": "MYT"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 222, "name": "Micronesia (country)", "code": "FSM"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 214, "name": "Monaco", "code": "MCO"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 215, "name": "Montenegro", "code": "MNE"}, {"id": 216, "name": "Montserrat", "code": "MSR"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 218, "name": "Nauru", "code": "NRU"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 220, "name": "New Caledonia", "code": "NCL"}, {"id": 106, "name": "New Zealand", "code": "NZL"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 261, "name": "Niue", "code": "NIU"}, {"id": 294, "name": "North America", "code": "OWID_NAM"}, {"id": 128, "name": "North Korea", "code": "PRK"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 266, "name": "Northern Mariana Islands", "code": "MNP"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 277, "name": "Oceania", "code": "OWID_OCE"}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 224, "name": "Palau", "code": "PLW"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 93, "name": "Puerto Rico", "code": "PRI"}, {"id": 226, "name": "Qatar", "code": "QAT"}, {"id": 245, "name": "Reunion", "code": "REU"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 297, "name": "Saint Barthelemy", "code": "BLM"}, {"id": 260, "name": "Saint Helena", "code": "SHN"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"id": 280, "name": "Saint Martin (French part)", "code": "MAF"}, {"id": 353, "name": "Saint Pierre and Miquelon", "code": "SPM"}, {"id": 230, "name": "Saint Vincent and the Grenadines", "code": "VCT"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 231, "name": "San Marino", "code": "SMR"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 90, "name": "Saudi Arabia", "code": "SAU"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 233, "name": "Seychelles", "code": "SYC"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"id": 281, "name": "Sint Maarten (Dutch part)", "code": "SXM"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 82, "name": "Somalia", "code": "SOM"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 295, "name": "South America", "code": "OWID_SAM"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 77, "name": "Syria", "code": "SYR"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 287, "name": "Tokelau", "code": "TKL"}, {"id": 235, "name": "Tonga", "code": "TON"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 69, "name": "Turkmenistan", "code": "TKM"}, {"id": 236, "name": "Turks and Caicos Islands", "code": "TCA"}, {"id": 237, "name": "Tuvalu", "code": "TUV"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 72, "name": "United Arab Emirates", "code": "ARE"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 256, "name": "United States Virgin Islands", "code": "VIR"}, {"id": 459, "name": "Upper-middle-income countries", "code": "OWID_UMC"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 257, "name": "Vatican", "code": "VAT"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 255, "name": "Wallis and Futuna", "code": "WLF"}, {"id": 248, "name": "Western Sahara", "code": "ESH"}, {"id": 355, "name": "World", "code": "OWID_WRL"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "descriptionShort": "Projected share of population living in urban areas (the sum of [cities](#dod:cities-degurba) and [towns and suburbs](#dod:towns-degurba)). Identified using satellite imagery and population data, applying the same density and size thresholds across all countries.", "descriptionProcessing": "Shares were calculated by dividing the area or population of each settlement type by the total, then multiplying by 100.", "type": "float", "grapherConfigIdETL": "019c8f6a-12f5-7a5b-aa66-f9987263358b", "dataChecksum": "2993928084236367881", "metadataChecksum": "-4760227591757298897", "datasetName": "Global Human Settlement Layer Dataset", "updatePeriodDays": 365, "datasetVersion": "2025-12-10", "nonRedistributable": false, "display": {"name": "Urban areas (cities, towns and suburbs)", "unit": "%", "shortUnit": "%", "isProjection": true, "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"titlePublic": "Projected share of population living in urban areas", "topicTagsLinks": ["Urbanization"]}, "descriptionKey": ["The [Degree of Urbanization](https://human-settlement.emergency.copernicus.eu/degurba.php) classifies areas as [cities](#dod:cities-degurba), [towns and suburbs](#dod:towns-degurba), or [rural areas](#dod:rural-areas-degurba) based on population density and settlement size rather than administrative boundaries. Developed by six international organizations and endorsed by the UN Statistical Commission in 2020, it provides consistent definitions for comparing urbanization across countries.", "Urban areas include both cities (at least 1,500 people per km\u00b2, 50,000 total) and towns and suburbs (at least 300 people per km\u00b2, 5,000 total).", "The classification uses 1 km\u00b2 grid cells, combining satellite imagery with census data to map where people actually live.", "From 2020 onwards, population distribution and built-up areas are projected at 1 km\u00b2 resolution using the [Cities and Rural Integrated Spatial Projections spatial model](https://www.researchgate.net/publication/384062691_Calibration_of_the_CRISP_model_A_global_assessment_of_local_built-up_area_presence). The projections follow the UN World Population Prospects 2024 medium scenario, and country totals are aligned with UN projections.", "Different countries use different definitions and criteria to define urban and rural areas, such as population size, population density, infrastructure, employment patterns, or official city status. The [Degree of Urbanization](https://human-settlement.emergency.copernicus.eu/degurba.php) applies a single global standard using population density grids, meaning its classifications won\u2019t always match official city boundaries and therefore urbanization rates may differ from country-reported figures.", "For small countries, values can change sharply when an entire area shifts from one classification to another."], "origins": [{"id": 9487, "titleSnapshot": "Global Human Settlement Layer Dataset - Countries", "title": "Global Human Settlement Layer Dataset", "description": "The dataset includes population projections by degree of urbanisation and at the city level.\n\nFor every country and territory in the world, the authors estimated their population from 1950 to 2100 in cities, towns and semi-dense areas, and rural areas. It relies on the UN-endorsed Degree of Urbanisation methodology. As a result, the definitions used in each country are fully harmonised; while national definitions vary considerably.\n\nThe long time series consists of three parts:\n\n- From 1950 to 1970, it is based on backcasting by blending data using national definitions of urban and rural areas with data using the Degree of Urbanisation.\n- From 1975 to 2020, it is based on the Global Human Settlement Layer (GHSL), because it has the longest time series and uses a transparent and reproducible method.\n- From 2020 to 2100, it relies on a new model, \"Cities and Rural Integrated Spatial Projections\" (CRISP).\n\nThe CRISP model estimates population and built-up area change for a global grid of 1 km2 cells in an evidence-based, three-step process. First, the authors estimate population and built-up area change for roughly 1000 functional areas based on past trends and national population projections. Second, they allocate new built-up area to grid cells considering distance to settlements, roads, water, current share of built-up area and other characteristics. Finally, they add population to newly built-up areas and more suitable locations and reduce it in less suitable locations to capture internal migration and natural population decline.\n\nBeyond population, the dataset also delivers maps showing the evolving spatial extent of cities, towns and rural areas. For every city in the world, it also provides updated boundaries, land area and built-up area at five-year intervals from 1975 to 2100.", "producer": "European Commission, Joint Research Centre (JRC)", "citationFull": "Schiavina, Marcello; Alessandrini, Alfredo; Melchiorri, Michele; Jacobs-Crisioni, Chris; Dijkstra Lewis, (2025): GHS-WUP-COUNTRY-STATS R2025A \u2013 GHS-WUP country statistics by Degree of Urbanisation classes, multitemporal (1950-2100). European Commission, Joint Research Centre (JRC). PID: http://data.europa.eu/89h/ee52f334-aaee-4b9e-aa00-d38ecf6c11a9 , doi: 10.2905/ee52f334-aaee-4b9e-aa00-d38ecf6c11a9\n\nJacobs-Crisioni, C., Schiavina, M., Alessandrini, A., Dijkstra, L. (2025) Population by degree of urbanization and by urban agglomeration from 1950 to 2100: Analyses supporting the United Nations World Urbanization Prospects report. Publications Office of the European Union, Luxembourg, 2025, JRC144219", "urlMain": "https://human-settlement.emergency.copernicus.eu/ghs_wup2025.php", "urlDownload": "https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/GHSL/GHS_WUP_COUNTRY_STATS_GLOBE_R2025A/V1-0/GHS_WUP_COUNTRY_STATS_GLOBE_R2025A_V1_0.zip", "dateAccessed": "2025-12-10", "datePublished": "2025", "license": {"url": "https://human-settlement.emergency.copernicus.eu/GHSLhowToCite.php", "name": "European Union, 1995-2025"}}]}