{"id": 1000928, "name": "Survivorship age - Sex: total - Percentile: 1", "unit": "years", "createdAt": "2024-12-03T00:30:18.000Z", "updatedAt": "2025-07-25T10:36:50.000Z", "coverage": "", "timespan": "1751-2023", "datasetId": 6831, "columnOrder": 0, "shortName": "age__sex_total__percentile_1", "catalogPath": "grapher/demography/2024-12-02/survivor_percentiles/survivor_percentiles#age__sex_total__percentile_1", "dimensions": {"years": {"values": [{"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": 1949}, {"id": 1950}, {"id": 1951}, {"id": 1952}, {"id": 1953}, {"id": 1954}, {"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": 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": 1841}, {"id": 1842}, {"id": 1843}, {"id": 1844}, {"id": 1845}, {"id": 1846}, {"id": 1847}, {"id": 1848}, {"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": 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": 1911}, {"id": 1912}, {"id": 1913}, {"id": 1919}, {"id": 1920}, {"id": 2022}, {"id": 1835}, {"id": 1836}, {"id": 1837}, {"id": 1838}, {"id": 1839}, {"id": 1840}, {"id": 1914}, {"id": 1915}, {"id": 1916}, {"id": 1917}, {"id": 1918}, {"id": 2023}, {"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": 1830}, {"id": 1831}, {"id": 1832}, {"id": 1833}, {"id": 1834}, {"id": 1751}, {"id": 1752}, {"id": 1753}, {"id": 1754}, {"id": 1755}, {"id": 1756}, {"id": 1757}, {"id": 1758}, {"id": 1759}, {"id": 1760}, {"id": 1761}, {"id": 1762}, {"id": 1763}, {"id": 1764}, {"id": 1765}, {"id": 1766}, {"id": 1767}, {"id": 1768}, {"id": 1769}, {"id": 1770}, {"id": 1771}, {"id": 1772}, {"id": 1773}, {"id": 1774}, {"id": 1775}, {"id": 1776}, {"id": 1777}, {"id": 1778}, {"id": 1779}, {"id": 1780}, {"id": 1781}, {"id": 1782}, {"id": 1783}, {"id": 1784}, {"id": 1785}, {"id": 1786}, {"id": 1787}, {"id": 1788}, {"id": 1789}, {"id": 1790}, {"id": 1791}, {"id": 1792}, {"id": 1793}, {"id": 1794}, {"id": 1795}, {"id": 1796}, {"id": 1797}, {"id": 1798}, {"id": 1799}, {"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": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 186, "name": "East Germany", "code": "OWID_GDR"}, {"id": 278, "name": "England and Wales", "code": null}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 144, "name": "Hong Kong", "code": "HKG"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 106, "name": "New Zealand", "code": "NZL"}, {"id": 357, "name": "Northern Ireland", "code": null}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 358, "name": "Scotland", "code": null}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 185, "name": "West Germany", "code": "OWID_GFR"}]}}, "descriptionShort": "The age until which the 1st percentile (99% of the population) of the population would survive until, if they experienced the same age-specific death rates throughout their whole lives as the age-specific death rates seen in that particular year.", "descriptionProcessing": "This was calculated with the method published in Alvarez and Vaupel (2023), with code provided by the authors:\n\nJes\u00fas-Adri\u00e1n Alvarez, James W. Vaupel; Mortality as a Function of Survival. Demography 1 February 2023; 60 (1): 327\u2013342. doi: https://doi.org/10.1215/00703370-10429097\n\nThese estimates were regenerated for data from more recent years in the Human Mortality Database.\n\nOriginal R code from: https://github.com/jssalvrz/s-ages", "type": "float", "dataChecksum": "15085119107768669962", "metadataChecksum": "3151415728948262394", "datasetName": "Survivorship percentiles (HMD; Alvarez and Vaupel 2023)", "updatePeriodDays": 365, "datasetVersion": "2024-12-02", "nonRedistributable": false, "display": {"unit": "years", "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"attribution": "Alvarez & Vaupel (2023); Human Mortality Database (2024)", "topicTagsLinks": ["Life Expectancy"]}, "descriptionKey": ["This is calculated with the period life tables indicators."], "origins": [{"id": 6871, "title": "Human Mortality Database", "description": "The Human Mortality Database (HMD) is a research resource that provides detailed mortality and population data for national populations with high-quality vital statistics. It includes original calculations of death rates and life tables, as well as the underlying data \u2014 such as birth counts, death counts, and census-based population estimates \u2014 used to produce these metrics.\n\nIts scope is limited to countries with virtually complete death registration and census coverage, mostly wealthy and industrialized nations. The database\u2019s core mission is to document the historical rise in human longevity and support research into its causes and implications. HMD follows a rigorous, uniform methodology focused on transparency, reproducibility, and comparability, while acknowledging limitations such as age misreporting and data coverage issues.\n\nEach country\u2019s dataset is curated and quality-checked by dedicated researchers, ensuring reliability for demographic and public health analysis.", "producer": "Human Mortality Database", "citationFull": "HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available at www.mortality.org.\n\nSee also the methods protocol:\nWilmoth, J. R., Andreev, K., Jdanov, D., Glei, D. A., Riffe, T., Boe, C., Bubenheim, M., Philipov, D., Shkolnikov, V., Vachon, P., Winant, C., & Barbieri, M. (2021). Methods protocol for the human mortality database (v6). [Available online](https://www.mortality.org/File/GetDocument/Public/Docs/MethodsProtocolV6.pdf) (needs log in to mortality.org).", "attributionShort": "HMD", "urlMain": "https://www.mortality.org/Data/ZippedDataFiles", "dateAccessed": "2024-11-27", "datePublished": "2024-11-13", "license": {"url": "https://www.mortality.org/Data/UserAgreement", "name": "CC BY 4.0"}}]}