{"id":1130258,"name":"Population of the capital city (projected)","unit":"people","createdAt":"2025-12-12T10:04:16.000Z","updatedAt":"2025-12-13T14:07:25.000Z","coverage":"","timespan":"2020-2100","datasetId":7291,"columnOrder":0,"shortName":"urban_pop_projections","catalogPath":"grapher/urbanization/2025-12-10/ghsl_urban_centers/ghsl_urban_centers#urban_pop_projections","descriptionShort":"The total number of people living in the country's capital city.","type":"float","grapherConfigIdETL":"019b1204-b469-7a41-90b9-314e1a6f240e","dataChecksum":"17195808400817314549","metadataChecksum":"-3077780441940320762","datasetName":"Global Human Settlement Layer Dataset","updatePeriodDays":365,"datasetVersion":"2025-12-10","nonRedistributable":false,"display":{"unit":"people","isProjection":true,"numDecimalPlaces":0,"entityAnnotationsMap":"Afghanistan: Kabul\nAlbania: Tirana\nAlgeria: Algiers\nAngola: Luanda\nArgentina: Buenos Aires\nArmenia: Yerevan\nAruba: Oranjestad\nAustralia: North Canberra [Canberra]\nAustria: Vienna\nAzerbaijan: Baku\nBahamas: Nassau\nBahrain: Manama\nBangladesh: Dhaka\nBarbados: Bridgetown\nBelarus: Minsk\nBelgium: Brussels\nBenin: Porto-Novo\nBolivia: La Paz\nBosnia and Herzegovina: Sarajevo\nBotswana: Gaborone\nBrazil: Brasilia\nBrunei: Bandar Seri Begawan\nBulgaria: Sofia\nBurkina Faso: Ouagadougou\nBurundi: Gitega\nCambodia: Phnom Penh\nCameroon: Yaoundé\nCanada: Ottawa\nCentral African Republic: Bangui\nChad: N'Djamena\nChile: Santiago\nChina: Beijing\nColombia: Bogota\nComoros: Moroni\nCosta Rica: San José\nCroatia: Zagreb\nCuba: Havana\nCuracao: Willemstad\nCyprus: Strovolos [Nicosia]\nCzechia: Prague\nCote d'Ivoire: Yamoussoukro\nDemocratic Republic of Congo: Kinshasa\nDenmark: Copenhagen\nDjibouti: Djibouti\nDominican Republic: Santo Domingo\nEcuador: Quito\nEgypt: Cairo\nEl Salvador: San Salvador\nEquatorial Guinea: Malabo\nEritrea: Asmara\nEstonia: Tallinn\nEthiopia: Addis Ababa\nFiji: Suva\nFinland: Helsinki\nFrance: Paris\nFrench Guiana: Cayenne\nFrench Polynesia: Papeete\nGabon: Libreville\nGeorgia: Tbilisi\nGermany: Berlin\nGhana: Accra\nGreece: Athens\nGuatemala: Guatemala City\nGuinea-Bissau: Bissau\nGuyana: Georgetown\nHaiti: Port-au-Prince\nHonduras: Tegucigalpa\nHungary: Budapest\nIceland: Reykjavik\nIndia: New Delhi\nIndonesia: Jakarta\nIran: Tehran\nIraq: Baghdad\nIreland: Dublin\nIsrael: Jerusalem\nItaly: Rome\nJamaica: Kingston\nJapan: Tokyo\nJersey: St. Helier\nJordan: Amman\nKazakhstan: Astana\nKenya: Nairobi\nKosovo: Pristina\nKuwait: Kuwait City\nKyrgyzstan: Bishkek\nLaos: Vientiane\nLatvia: Riga\nLebanon: Beirut\nLesotho: Maseru\nLiberia: Monrovia\nLibya: Tripoli\nLithuania: Vilnius\nLuxembourg: Luxembourg\nMadagascar: Antananarivo\nMalawi: Lilongwe\nMalaysia: Putrajaya\nMaldives: Malé\nMali: Bamako\nMalta: Valletta\nMauritania: Nouakchott\nMauritius: Port Louis\nMayotte: Mamoudzou\nMoldova: Chișinău\nMongolia: Ulaanbaatar\nMontenegro: Podgorica\nMorocco: Rabat\nMozambique: Maputo\nMyanmar: Pyinmana [Nay Pyi Taw]\nMexico: Mexico City\nNamibia: Windhoek\nNepal: Kathmandu\nNetherlands: The Hague\nNew Caledonia: Nouméa\nNew Zealand: Wellington\nNicaragua: Managua\nNiger: Niamey\nNigeria: Abuja\nNorth Korea: P'yŏngyang\nNorth Macedonia: Skopje\nNorthern Cyprus: Nicosia\nNorway: Oslo\nOman: Muscat\nPakistan: Islamabad\nPalestine: Ramallah\nPanama: Panama City\nPapua New Guinea: Port Moresby\nParaguay: Asuncion\nPeru: Lima\nPhilippines: Manila\nPoland: Warsaw\nPortugal: Lisbon\nPuerto Rico: Bayamón [San Juan]\nQatar: Doha\nCongo: Brazzaville\nRomania: Bucharest\nRussia: Moscow\nRwanda: Kigali\nReunion: Saint-Denis\nSamoa: Apia\nSaudi Arabia: Riyadh\nSenegal: Dakar\nSerbia: Belgrade\nSierra Leone: Freetown\nSingapore: Singapore\nSlovakia: Bratislava\nSlovenia: Ljubljana\nSolomon Islands: Honiara\nSomalia: Mogadishu\nSouth Africa: Pretoria\nSouth Korea: Seoul\nSouth Sudan: Juba\nSpain: Madrid\nSri Lanka: Colombo [Sri Jayawardenepura Kotte]\nSudan: Khartoum\nSuriname: Paramaribo\nSweden: Stockholm\nSwitzerland: Bern\nSyria: Damascus\nSao Tome and Principe: São Tomé\nTaiwan: Taipei\nTajikistan: Dushanbe\nTanzania: Dodoma\nThailand: Bangkok\nEast Timor: Dili\nTogo: Lomé\nTonga: Nuku'alofa\nTrinidad and Tobago: Port of Spain\nTunisia: Tunis\nTurkey: Ankara\nTurkmenistan: Ashgabat\nUganda: Kampala\nUkraine: Kyiv\nUnited Arab Emirates: Abu Dhabi\nUnited Kingdom: London\nUnited States: Washington\nUruguay: Montevideo\nUzbekistan: Tashkent\nVanuatu: Port Vila\nVenezuela: Caracas\nVietnam: Hanoi\nYemen: Sana'a\nZambia: Lusaka\nZimbabwe: Harare"},"schemaVersion":2,"processingLevel":"minor","presentation":{"topicTagsLinks":["Urbanization"]},"descriptionKey":["The European Commission integrates satellite imagery with national census data to delineate the boundaries of capital cities and estimate their populations.\nTo predict future urbanization (2025 to 2100), both static (land features) and dynamic (past satellite images) components are used to project growth. DEGURBA defines cities by population, not administrative borders, aligning with UN guidelines, though fixed thresholds may not always capture local differences."],"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":null},{"id":16,"name":"Albania","code":"ALB"},{"id":17,"name":"Algeria","code":"DZA"},{"id":19,"name":"Angola","code":"AGO"},{"id":21,"name":"Argentina","code":"ARG"},{"id":22,"name":"Armenia","code":"ARM"},{"id":275,"name":"Asia","code":null},{"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":32,"name":"Benin","code":"BEN"},{"id":33,"name":"Bhutan","code":"BTN"},{"id":34,"name":"Bolivia","code":"BOL"},{"id":35,"name":"Bosnia and Herzegovina","code":"BIH"},{"id":36,"name":"Botswana","code":"BWA"},{"id":37,"name":"Brazil","code":"BRA"},{"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":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":166,"name":"Costa Rica","code":"CRI"},{"id":143,"name":"Cote 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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; Dijkstra, Lewis (2025): GHS-WUP-MTUC R2025A – GHS-WUP multitemporal urban centres, obtained from the Degree of Urbanisation grids (GHS-WUP-DEGURBA R2025A) and linked across epochs, multitemporal (1950-2100). European Commission, Joint Research Centre (JRC). PID: http://data.europa.eu/89h/1ea967e5-bedc-4cf3-a0b0-3851742ee7e2 , doi: 10.2905/1ea967e5-bedc-4cf3-a0b0-3851742ee7e2\n\nPesaresi, Martino, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodębska, Johannes H. Uhl, Alessandra Carioli, et al. (2024). Advances on the Global Human Settlement Layer by Joint Assessment of Earth Observation and Population Survey Data. International Journal of Digital Earth 17 (1). doi:10.1080/17538947.2024.2390454\n\nJacobs-Crisioni, Chris et al (2025). Population projections by degree of urbanisation for the UN World Urbanization Prospects: introducing the CRISP model, Publications Office of the European Union, Luxembourg, 2025, doi:10.2760/7163875","urlMain":"https://human-settlement.emergency.copernicus.eu/ghs_wup2025.php","urlDownload":"https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/GHSL/GHS_WUP_MTUC_GLOBE_R2025A/V1-0/GHS_WUP_MTUC_GLOBE_R2025A_V1_0_statistics.zip","dateAccessed":"2025-12-10","datePublished":"2025","license":{"url":"https://human-settlement.emergency.copernicus.eu/GHSLhowToCite.php","name":"European Union, 1995-2025"}}]}