{"id": 813868, "name": "Children that survived past five years age per woman", "unit": "children surviving past five years per woman", "createdAt": "2023-09-27T10:58:10.000Z", "updatedAt": "2026-04-02T17:39:08.000Z", "coverage": "", "timespan": "1800-2023", "datasetId": 6232, "shortUnit": "", "columnOrder": 0, "shortName": "children_surviving_past_five_per_woman", "catalogPath": "grapher/gapminder/2023-09-22/total_fertility_rate/fertility_rate#children_surviving_past_five_per_woman", "descriptionShort": "The fertility rate (average number of children per woman) multiplied by the inverse of the under-five mortality rate (probability of surviving to at least age five).", "licenses": "[{\"url\": \"http://creativecommons.org/licenses/by/3.0/igo/\", \"name\": \"CC BY 3.0 IGO\"}, {\"name\": \"CC BY 4.0\"}, {\"url\": \"https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit\", \"name\": \"CC BY 4.0\"}]", "type": "float", "grapherConfigIdETL": "01930737-7ee3-78d8-9361-5396f09a29ce", "dataChecksum": "4995984527288602557", "metadataChecksum": "-6768123499559682023", "datasetName": "Babies per woman (total fertility rate)", "datasetVersion": "2023-09-22", "nonRedistributable": false, "display": {"unit": "children surviving past five years per woman", "numDecimalPlaces": 1}, "schemaVersion": 2, "presentation": {"titlePublic": "Child mortality rate", "titleVariant": "Long-run data", "attributionShort": "Gapminder; UN IGME", "attribution": "Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)", "topicTagsLinks": ["Child & Infant Mortality"]}, "descriptionKey": ["Child mortality, the death of children under the age of five, is still extremely common in our world today. The historical data makes clear that it doesn\u2019t have to be this way: societies can protect their children and reduce child mortality to very low rates. For child mortality to reach low levels, many things have to go right at the same time: good healthcare, good nutrition, clean water and sanitation, maternal health, and high living standards. We can, therefore, think of child mortality as a proxy indicator of a country\u2019s living conditions.", "The chart shows our long-run data on child mortality, which allows you to see how child mortality has changed in countries around the world. It combines data from two sources: Gapminder and the UN Inter-agency Group for Child Mortality Estimation (UN IGME).", "[Gapminder](https://www.gapminder.org/data/documentation/gd005/) provides estimates of child mortality rates from 1800 to 2015. The full list of sources used can be found in [their documentation](https://www.gapminder.org/data/documentation/gd005/).", "[UN IGME](https://childmortality.org/all-cause-mortality/data) provides estimates of child mortality rates for some countries from 1932 onward.", "For years where data from both sources is available, we prioritize the UN IGME data. See [this page](https://docs.google.com/spreadsheets/d/1n-WO7yEbi6sXPpeWrorSEVu8w_Yu5dM0n97q1h16L0g/edit?gid=0#gid=0) for more details on which source is used for each data point.", "This indicator is calculated as the number of children under the age of five who died in a given year, divided by the number of newborns in that year."], "dimensions": {"years": {"values": [{"id": 2022}, {"id": 2023}, {"id": 1985}, {"id": 1986}, {"id": 1987}, {"id": 1988}, {"id": 1989}, {"id": 1990}, {"id": 1991}, {"id": 1992}, {"id": 1993}, {"id": 1994}, {"id": 1995}, {"id": 1996}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2001}, {"id": 2002}, {"id": 2003}, {"id": 2004}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2008}, {"id": 2009}, {"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 1949}, {"id": 1911}, {"id": 1912}, {"id": 1913}, {"id": 1914}, {"id": 1915}, {"id": 1916}, {"id": 1917}, {"id": 1918}, {"id": 1919}, {"id": 1920}, {"id": 1921}, {"id": 1922}, {"id": 1923}, {"id": 1924}, {"id": 1925}, {"id": 1926}, {"id": 1927}, {"id": 1928}, {"id": 1929}, {"id": 1930}, {"id": 1931}, {"id": 1932}, {"id": 1933}, {"id": 1934}, {"id": 1935}, {"id": 1936}, {"id": 1937}, {"id": 1938}, {"id": 1939}, {"id": 1940}, {"id": 1941}, {"id": 1942}, {"id": 1943}, {"id": 1944}, {"id": 1945}, {"id": 1946}, {"id": 1947}, {"id": 1948}, {"id": 1870}, {"id": 1871}, {"id": 1872}, {"id": 1873}, {"id": 1874}, {"id": 1875}, {"id": 1876}, {"id": 1877}, {"id": 1878}, {"id": 1879}, {"id": 1880}, {"id": 1881}, {"id": 1882}, {"id": 1883}, {"id": 1884}, {"id": 1885}, {"id": 1886}, {"id": 1887}, {"id": 1888}, {"id": 1889}, {"id": 1890}, {"id": 1891}, {"id": 1892}, {"id": 1893}, {"id": 1894}, {"id": 1895}, {"id": 1896}, {"id": 1897}, {"id": 1898}, {"id": 1899}, {"id": 1900}, {"id": 1901}, {"id": 1902}, {"id": 1903}, {"id": 1904}, {"id": 1905}, {"id": 1906}, {"id": 1907}, {"id": 1908}, {"id": 1909}, {"id": 1910}, {"id": 1830}, {"id": 1831}, {"id": 1832}, {"id": 1833}, {"id": 1834}, {"id": 1835}, {"id": 1836}, {"id": 1837}, {"id": 1838}, {"id": 1839}, {"id": 1840}, {"id": 1841}, {"id": 1842}, {"id": 1843}, {"id": 1844}, {"id": 1845}, {"id": 1846}, {"id": 1849}, {"id": 1850}, {"id": 1851}, {"id": 1852}, {"id": 1853}, {"id": 1854}, {"id": 1855}, {"id": 1856}, {"id": 1857}, {"id": 1858}, {"id": 1859}, {"id": 1860}, {"id": 1861}, {"id": 1862}, {"id": 1863}, {"id": 1864}, {"id": 1865}, {"id": 1866}, {"id": 1867}, {"id": 1868}, {"id": 1869}, {"id": 1847}, {"id": 1848}, {"id": 1955}, {"id": 1956}, {"id": 1957}, {"id": 1958}, {"id": 1959}, {"id": 1960}, {"id": 1961}, {"id": 1962}, {"id": 1963}, {"id": 1964}, {"id": 1965}, {"id": 1966}, {"id": 1967}, {"id": 1968}, {"id": 1969}, {"id": 1970}, {"id": 1971}, {"id": 1972}, {"id": 1973}, {"id": 1974}, {"id": 1975}, {"id": 1976}, {"id": 1977}, {"id": 1978}, {"id": 1979}, {"id": 1980}, {"id": 1981}, {"id": 1982}, {"id": 1983}, {"id": 1984}, {"id": 1951}, {"id": 1952}, {"id": 1953}, {"id": 1954}, {"id": 1816}, {"id": 1817}, {"id": 1818}, {"id": 1819}, {"id": 1820}, {"id": 1821}, {"id": 1822}, {"id": 1823}, {"id": 1824}, {"id": 1825}, {"id": 1826}, {"id": 1827}, {"id": 1828}, {"id": 1829}, {"id": 1950}, {"id": 1800}, {"id": 1801}, {"id": 1802}, {"id": 1803}, {"id": 1804}, {"id": 1805}, {"id": 1806}, {"id": 1807}, {"id": 1808}, {"id": 1809}, {"id": 1810}, {"id": 1811}, {"id": 1812}, {"id": 1813}, {"id": 1814}, {"id": 1815}]}, "entities": {"values": [{"id": 15, "name": "Afghanistan", "code": "AFG"}, {"id": 16, "name": "Albania", "code": "ALB"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"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": 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": 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": 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": 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": 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": 202, "name": "Fiji", "code": "FJI"}, {"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": 206, "name": "Grenada", "code": "GRD"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"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": 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": 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": 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": 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": 114, "name": "Mauritania", "code": "MRT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"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": 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": 128, "name": "North Korea", "code": "PRK"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"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": 226, "name": "Qatar", "code": "QAT"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 227, "name": "Saint Kitts and Nevis", "code": "KNA"}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"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": 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": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"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": 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": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"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"}, {"id": 273, "name": "Africa", "code": "OWID_AFR"}, {"id": 275, "name": "Asia", "code": "OWID_ASI"}, {"id": 276, "name": "Europe", "code": "OWID_EUR"}, {"id": 198, "name": "Taiwan", "code": "TWN"}]}}, "origins": [{"id": 69, "title": "World Population Prospects", "description": "World Population Prospects 2022 is the 27th edition of the official estimates and projections of the global population that have been published by the United Nations since 1951. The estimates are based on all available sources of data on population size and levels of fertility, mortality and international migration for 237 countries or areas. More details at https://population.un.org/wpp/Publications/.", "producer": "United Nations", "citationFull": "United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022, Online Edition.", "attribution": "United Nations - World Population Prospects (2022)", "attributionShort": "UN WPP", "urlMain": "https://population.un.org/wpp/Download/", "dateAccessed": "2022-09-09", "datePublished": "2022-07-11", "license": {"url": "https://population.un.org/wpp/Download/Standard/MostUsed/", "name": "CC BY 3.0 IGO"}}, {"id": 75, "title": "Babies per woman (total fertility rate)", "description": "**Sources:**\n\n\u2014 1800 to 1950 (and in some cases also years after 1950): Gapminder v6 which were compiled and documented by Mattias Lindgren, see previous versions further down on this page.\n\n\u2014 1950 to 2014: In most cases we use the latest UN estimates from World Population Prospects 2017 published in the file with Annually interpolated demographic indicators, called WPP2017_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx , accessed on September 2, 2017.\n\n\u2014 2015 \u2013 2099: We use the UN forecast of future fertility rate in all countries, called median fertility variant.", "producer": "Gapminder", "citationFull": "Free data from www.gapminder.org", "attributionShort": "Gapminder", "versionProducer": "v12", "urlMain": "https://www.gapminder.org/data/documentation/gd008/", "urlDownload": "https://github.com/Gapminder-Indicators/tfr/raw/master/tfr-by-gapminder.xlsx", "dateAccessed": "2023-09-22", "datePublished": "2017-12-12", "license": {"url": "https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit", "name": "CC BY 4.0"}}, {"id": 3456, "title": "United Nations Inter-agency Group for Child Mortality Estimation", "description": "The United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) was formed in 2004 to share data on child mortality, improve methods for child mortality estimation, report on progress towards child survival goals, and enhance country capacity to produce timely and properly assessed estimates of child mortality. The UN IGME is led by the United Nations Children\u2019s Fund (UNICEF) and includes the World Health Organization (WHO), the World Bank Group and the United Nations Population Division of the Department of Economic and Social Affairs as full members.\n\nUN IGME updates its child mortality estimates annually after reviewing newly available data and assessing data quality. The web portal contains the latest UN IGME estimates of child mortality at the country, regional and global levels, and the data used to derive them.", "producer": "United Nations Inter-agency Group for Child Mortality Estimation", "citationFull": "United Nations Inter-agency Group for Child Mortality Estimation (2024).", "attributionShort": "UN IGME", "urlMain": "https://childmortality.org/all-cause-mortality/data", "urlDownload": "https://childmortality.org/wp-content/uploads/2025/03/UN-IGME-2024.zip", "dateAccessed": "2025-03-25", "datePublished": "2025-03-25", "license": {"url": "https://www.unicef.org/legal#copyright", "name": "Copyright \u00a9 UNICEF"}}, {"id": 3455, "titleSnapshot": "Child mortality rate under age five v7", "title": "Child mortality rate under age five", "description": "Estimates of child mortality rate (under five years old) per 1,000 live births.\nThis data has been compiled by Klara Johansson and Mattias Lindgren (Gapminder) from a selection of sources:\n* Human Mortality Database\n* Child Mortality Estimates from the UN Inter-agency Group for Child Mortality Estimation.\n* Gapminder model based on infant mortality ratio (version 2) https://www.gapminder.org/data/documentation/gd002/\n* Model estimates based on Gapminder's life expectancy data combined with model life tables, with some additional adjustments", "producer": "Gapminder", "citationFull": "Gapminder, Child Mortality Rate, under age five, version 7. https://www.gapminder.org/data/documentation/gd005/", "attributionShort": "Gapminder", "versionProducer": "v7", "urlMain": "https://www.gapminder.org/data/documentation/gd005/", "urlDownload": "https://www.gapminder.org/documentation/documentation/gapdata005%20v7.xlsx", "dateAccessed": "2023-09-18", "datePublished": "2015-01-01", "license": {"name": "CC BY 4.0"}}, {"id": 8912, "title": "Under-five Mortality", "description": "This file contains data on child mortality rates compiled by Gapminder, based on multiple sources:\n- 1800 to 1950: Gapminder v7  ( In some cases this is also used for years after 1950, see below.) This was compiled and documented by Mattias Lindgren from many sources, but mainly based on www.mortality.org and the series of books called International Historical Statistics  by Brian R Mitchell, which often have historic estimates of Infant mortality rate which were converted to Child mortality through regression. See detailed documentation of v7 below.\n\n- 1950 to 2018: UNIGME, is a data collaboration project between UNICEF, WHO, UN Population Division and the World Bank. They  released new estimates of child mortality for countries and a global estimate on September 19, 2019, which is available at www.childmortality.org. In this dataset 70% of all countries have estimates between 1970 and 2016, while roughly half the countries also reach back to 1950.\n\n- 1950 to 2100: UN WPP, World Population Prospects 2019  provides annual data for Child mortality rate for all countries in the annually interpolated demographic indicators, called WPP2019_INT_F01_ANNUAL_DEMOGRAPHIC_INDICATORS.xlsx\nIn general, We connected our historic estimates from Gapminder v7 to the earliest available year with data in UNIGME or if it didn't have data, we used UN POP from 1950 and on, until UNIGME had data. Depending on data availability, different countries are moving between sources at different points in the period 1930-1980.After 2018, we have extended the UN IGME series with the UN POP numbers. But we haven't extended it with the  UN POP actual numbers but  instead, we extended it with the UN POP expected change.\nThe data is part of Gapminder effort to build a fact-based worldview by showing the big picture of global development. When we find multiple data sources that haven't been combined we combine them into one consistent timeseries. This often results in large data uncertainty, as the underlying data-sources use different methodologies etc. But we still dare to combine data that hasn't been combined, as we find it extremely important to visualize the big picture, which people otherwise tend to get absolutely wrong. Before using our data for any other purpose though, please read the documentation to make sure you are aware of our levels of doubts in the data.", "producer": "Gapminder based on UN IGME & UN WPP", "citationFull": "Under-five Mortality Dataset v11, Gapminder (2020)", "attributionShort": "Gapminder", "versionProducer": "v11", "urlMain": "https://docs.google.com/spreadsheets/d/1Av7eps_zEK73-AdbFYEmtTrwFKlfruBYXdrnXAOFVpM/edit#gid=501532268", "urlDownload": "https://docs.google.com/spreadsheets/d/1Av7eps_zEK73-AdbFYEmtTrwFKlfruBYXdrnXAOFVpM/export?format=xlsx", "dateAccessed": "2023-09-21", "datePublished": "2020-01-30", "license": {"url": "https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit", "name": "CC BY 4.0# License (same as origin.license, for backwards compatibility)"}}, {"id": 14278, "title": "Population", "description": "Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.\n\nYou can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources", "producer": "Various sources", "citationFull": "The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources", "attribution": "Population based on various sources (2024)", "attributionShort": "Population", "urlMain": "https://ourworldindata.org/population-sources", "dateAccessed": "2026-03-31", "datePublished": "2024-07-15", "license": {"url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}}]}