{"id": 819566, "name": "Average annual rate of change cities with 300,000 inhabitants or more (projections)", "unit": "%", "createdAt": "2024-01-26T11:04:48.000Z", "updatedAt": "2024-12-07T14:29:29.000Z", "coverage": "", "timespan": "2015-2035", "datasetId": 6364, "shortUnit": "%", "columnOrder": 0, "shortName": "average_annual_rate_of_change_of_urban_agglomerations_with_300_000_inhabitants_or_more_in_2018__by_country__percent_projections", "catalogPath": "grapher/un/2024-01-17/urban_agglomerations_300k/urban_agglomerations_300k#average_annual_rate_of_change_of_urban_agglomerations_with_300_000_inhabitants_or_more_in_2018__by_country__percent_projections", "descriptionShort": "Measures the average annual percentage change in urban populations for agglomerations with 300,000 inhabitants or more, based on five-year intervals. For example, the rate for 2015 represents the average annual growth from 2010 to 2015.", "descriptionFromProducer": "The term \u201curban agglomeration\u201d refers to the population contained within the contours of a contiguous territory inhabited at urban density levels without regard to administrative boundaries. It usually incorporates the population in a city or town plus that in the suburban areas lying outside of, but being adjacent to, the city boundaries. Whenever possible, data classified according to the concept of urban agglomeration are used. However, some countries do not produce data according to the concept of urban agglomeration but use instead that of metropolitan area or city proper. If possible, such data are adjusted to conform to the concept urban agglomeration. When sufficient information is not available to permit such an adjustment, data based on the concept of city proper or metropolitan area are used.", "type": "float", "dataChecksum": "1121061264471699520", "metadataChecksum": "-2489141906383133753", "datasetName": "World Urbanization Prospects Dataset - Urban Agglomerations with 300,000 or More Inhabitants", "datasetVersion": "2024-01-17", "nonRedistributable": false, "display": {"unit": "%", "shortUnit": "%", "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"titlePublic": "Average annual rate of change cities with 300,000 inhabitants or more (projections)", "topicTagsLinks": ["Urbanization"], "faqs": []}, "descriptionKey": ["The projection method for urban population in the World Urbanization Prospects involves a two-step process using an established extrapolation method based on urban-rural ratios. Initially, the average annual rate of change in the urban-rural ratio is calculated using data from the last two censuses, which informs the rate of change in urban and rural populations. This rate is then extrapolated, assuming a logistic path of urban proportion growth. Subsequently, a \"world norm\" is applied, estimated from empirical urban-rural growth differences in two groups of countries categorized by population size. This norm uses a regression equation to establish a hypothetical urban-rural growth difference for different levels of initial urban percentage.\n\nThe country-specific urban-rural growth difference is then converged with this hypothetical difference over 25 years, allowing the urbanization process of a country to align with a global urbanization pattern. This method ensures that urban-rural growth differences evolve towards a worldwide trend rather than remaining constant."], "dimensions": {"years": {"values": [{"id": 2015}, {"id": 2020}, {"id": 2025}, {"id": 2030}, {"id": 2035}]}, "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": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 27, "name": "Bahrain", "code": "BHR"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"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": 37, "name": "Brazil", "code": "BRA"}, {"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": 144, "name": "Hong Kong", "code": "HKG"}, {"id": 262, "name": "Macao", "code": "MAC"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 164, "name": "Cuba", "code": "CUB"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 128, "name": "North Korea", "code": "PRK"}, {"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": 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": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"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": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"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": 130, "name": "Jordan", "code": "JOR"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"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": 121, "name": "Liberia", "code": "LBR"}, {"id": 120, "name": "Libya", "code": "LBY"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"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": 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": 102, "name": "Norway", "code": "NOR"}, {"id": 217, "name": "Oman", "code": "OMN"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"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": 127, "name": "South Korea", "code": "KOR"}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"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": 82, "name": "Somalia", "code": "SOM"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 77, "name": "Syria", "code": "SYR"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"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": 64, "name": "Tanzania", "code": "TZA"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"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": 367, "titleSnapshot": "World Urbanization Prospects Dataset - Urban Agglomerations with 300,000 Inhabitants or more", "title": "World Urbanization Prospects Dataset", "description": "This dataset is derived from the World Urbanization Prospects, providing comprehensive data on global urbanization trends, including population figures, urban and rural population distributions, and projections for future urban growth.", "producer": "United Nations, Department of Economic and Social Affairs, Population Division", "citationFull": "United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision, Online Edition.", "attributionShort": "United Nations", "urlMain": "https://population.un.org/wup/Download/", "dateAccessed": "2024-01-17", "datePublished": "2018", "license": {"url": "http://creativecommons.org/licenses/by/3.0/igo/", "name": "CC BY 3.0 IGO"}}]}