{"id": 1002863, "name": "Population density of the capital city", "unit": "people/km\u00b2", "createdAt": "2024-12-06T16:57:51.000Z", "updatedAt": "2025-03-14T15:14:22.000Z", "coverage": "", "timespan": "1975-2020", "datasetId": 6856, "columnOrder": 0, "shortName": "urban_density_estimates", "catalogPath": "grapher/urbanization/2024-12-02/ghsl_urban_centers/ghsl_urban_centers#urban_density_estimates", "descriptionShort": "The number of people per km\u00b2 of land area for the country's capital city.", "descriptionProcessing": "Population density was calculated by dividing the population of the city by the total area it covers, providing a measure of the number of people living in each km\u00b2.", "type": "float", "dataChecksum": "1665555178294439063", "metadataChecksum": "1370409978093549417", "datasetName": "Global Human Settlement Layer Dataset -  Stats in the City Database", "updatePeriodDays": 365, "datasetVersion": "2024-12-02", "nonRedistributable": false, "display": {"unit": "people/km\u00b2", "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: Yaound\u00e9\nCanada: Ottawa\nCentral African Republic: Bangui\nChad: N'Djamena\nChile: Santiago\nChina: Beijing\nColombia: Bogota\nComoros: Moroni\nCosta Rica: San Jos\u00e9\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: Kuala Lumpur\nMaldives: Mal\u00e9\nMali: Bamako\nMalta: Valletta\nMauritania: Nouakchott\nMauritius: Port Louis\nMayotte: Mamoudzou\nMoldova: Chi\u0219in\u0103u\nMongolia: Ulaanbaatar\nMontenegro: Podgorica\nMorocco: Rabat\nMozambique: Maputo\nMyanmar: Pyinmana [Nay Pyi Taw]\nMexico: Mexico City\nNamibia: Windhoek\nNepal: Kathmandu\nNetherlands: Amsterdam\nNew Caledonia: Noum\u00e9a\nNew Zealand: Wellington\nNicaragua: Managua\nNiger: Niamey\nNigeria: Abuja\nNorth Korea: P'y\u014fngyang\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: Bayam\u00f3n [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: Cape Town\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: S\u00e3o Tom\u00e9\nTaiwan: Taipei\nTajikistan: Dushanbe\nTanzania: Dodoma\nThailand: Bangkok\nEast Timor: Dili\nTogo: Lom\u00e9\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 and 2030), 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": 1975}, {"id": 1980}, {"id": 1985}, {"id": 1990}, {"id": 1995}, {"id": 2000}, {"id": 2005}, {"id": 2010}, {"id": 2015}, {"id": 2020}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"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": 219, "name": "Aruba", "code": "ABW"}, {"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": 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": 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 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": 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": 158, "name": "Ethiopia", "code": "ETH"}, {"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": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"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": 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": 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": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"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": 114, "name": "Mauritania", "code": "MRT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 193, "name": "Mayotte", "code": "MYT"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 215, "name": "Montenegro", "code": "MNE"}, {"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": 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": 128, "name": "North Korea", "code": "PRK"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 390, "name": "Northern Cyprus", "code": "OWID_CYN"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"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": 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": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 86, "name": "Singapore", "code": "SGP"}, {"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": 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": 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": 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": 63, "name": "Uruguay", "code": "URY"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "origins": [{"id": 2175, "title": "Global Human Settlement Layer Dataset -  Stats in the City Database", "description": "The \"Stats in the City Database\" offers harmonized data on population and population density for 11,422 urban centres.\n\nThis data, based on the Global Human Settlement Layer Dataset, uses the Degree of Urbanisation framework to delineate spatial entities and integrates geospatial data from a variety of open-source datasets. It represents one of the most comprehensive resources for understanding urban population patterns and densities worldwide", "producer": "European Commission, Joint Research Centre (JRC)", "citationFull": "Center For International Earth Science Information Network-CIESIN-Columbia University. 2018. \u201cGridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11.\u201d Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4JW8BX5\nPesaresi M., Politis P. (2023): GHS-BUILT-V R2023A - GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID:\u00a0http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283, doi:10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283\nPesaresi M., Politis P. (2023): GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030)European Commission, Joint Research Centre (JRC) PID:\u00a0http://data.europa.eu/89h/9f06f36f-4b11-47ec-abb0-4f8b7b1d72ea, doi:10.2905/9F06F36F-4B11-47EC-ABB0-4F8B7B1D72EA\nSchiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A - GHS population grid multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE\nSchiavina M., Freire S., Carioli A., MacManus K. (2023): GHS-POP R2023A - GHS population grid multitemporal (1975-2030).European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/2ff68a52-5b5b-4a22-8f40-c41da8332cfe, doi:10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE\nSchiavina M., Melchiorri M., Pesaresi M. (2023): GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030)European Commission, Joint Research Centre (JRC) PID: http://data.europa.eu/89h/a0df7a6f-49de-46ea-9bde-563437a6e2ba, doi:10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA", "urlMain": "https://human-settlement.emergency.copernicus.eu/ghs_ucdb_2024.php", "dateAccessed": "2024-12-02", "datePublished": "2024", "license": {"url": "https://commission.europa.eu/legal-notice_en", "name": "CC BY 4.0"}}]}