[POP_2POP_SEX_AGE_NB] Population by sex and age -- UN estimates and projections, July 2022 (thousands)
Retrieved by DBnomics on September 5, 2023 (5:48 AM).
 [ref_area]   Reference area
 [AFG]   Afghanistan
[AGO]   Angola
[ALB]   Albania
[ARE]   United Arab Emirates
[ARG]   Argentina
[ARM]   Armenia
[AUS]   Australia
[AUT]   Austria
[AZE]   Azerbaijan
[BDI]   Burundi
[BEL]   Belgium
[BEN]   Benin
[BFA]   Burkina Faso
[BGD]   Bangladesh
[BGR]   Bulgaria
[BHR]   Bahrain
[BHS]   Bahamas
[BIH]   Bosnia and Herzegovina
[BLR]   Belarus
[BLZ]   Belize
[BOL]   Bolivia
[BRA]   Brazil
[BRB]   Barbados
[BRN]   Brunei Darussalam
[BTN]   Bhutan
[BWA]   Botswana
[CAF]   Central African Republic
[CAN]   Canada
[CHA]   Channel Islands
[CHE]   Switzerland
[CHL]   Chile
[CHN]   China
[CIV]   Côte d'Ivoire
[CMR]   Cameroon
[COD]   Congo, Democratic Republic of the
[COG]   Congo
[COL]   Colombia
[COM]   Comoros
[CPV]   Cabo Verde
[CRI]   Costa Rica
[CUB]   Cuba
[CYP]   Cyprus
[CZE]   Czechia
[DEU]   Germany
[DJI]   Djibouti
[DNK]   Denmark
[DOM]   Dominican Republic
[DZA]   Algeria
[ECU]   Ecuador
[EGY]   Egypt
[ERI]   Eritrea
[ESH]   Western Sahara
[ESP]   Spain
[EST]   Estonia
[ETH]   Ethiopia
[FIN]   Finland
[FJI]   Fiji
[FRA]   France
[GAB]   Gabon
[GBR]   United Kingdom
[GEO]   Georgia
[GHA]   Ghana
[GIN]   Guinea
[GMB]   Gambia
[GNB]   Guinea-Bissau
[GNQ]   Equatorial Guinea
[GRC]   Greece
[GTM]   Guatemala
[GUM]   Guam
[GUY]   Guyana
[HKG]   Hong Kong, China
[HND]   Honduras
[HRV]   Croatia
[HTI]   Haiti
[HUN]   Hungary
[IDN]   Indonesia
[IND]   India
[IRL]   Ireland
[IRN]   Iran, Islamic Republic of
[IRQ]   Iraq
[ISL]   Iceland
[ISR]   Israel
[ITA]   Italy
[JAM]   Jamaica
[JOR]   Jordan
[JPN]   Japan
[KAZ]   Kazakhstan
[KEN]   Kenya
[KGZ]   Kyrgyzstan
[KHM]   Cambodia
[KOR]   Korea, Republic of
[KWT]   Kuwait
[LAO]   Lao People's Democratic Republic
[LBN]   Lebanon
[LBR]   Liberia
[LBY]   Libya
[LCA]   Saint Lucia
[LKA]   Sri Lanka
[LSO]   Lesotho
[LTU]   Lithuania
[LUX]   Luxembourg
[LVA]   Latvia
[MAC]   Macau, China
[MAR]   Morocco
[MDA]   Moldova, Republic of
[MDG]   Madagascar
[MDV]   Maldives
[MEX]   Mexico
[MKD]   North Macedonia
[MLI]   Mali
[MLT]   Malta
[MMR]   Myanmar
[MNE]   Montenegro
[MNG]   Mongolia
[MOZ]   Mozambique
[MRT]   Mauritania
[MUS]   Mauritius
[MWI]   Malawi
[MYS]   Malaysia
[NAM]   Namibia
[NCL]   New Caledonia
[NER]   Niger
[NGA]   Nigeria
[NIC]   Nicaragua
[NLD]   Netherlands
[NOR]   Norway
[NPL]   Nepal
[NZL]   New Zealand
[OMN]   Oman
[PAK]   Pakistan
[PAN]   Panama
[PER]   Peru
[PHL]   Philippines
[PNG]   Papua New Guinea
[POL]   Poland
[PRI]   Puerto Rico
[PRK]   Korea, Democratic People's Republic of
[PRT]   Portugal
[PRY]   Paraguay
[PSE]   Occupied Palestinian Territory
[PYF]   French Polynesia
[QAT]   Qatar
[ROU]   Romania
[RUS]   Russian Federation
[RWA]   Rwanda
[SAU]   Saudi Arabia
[SDN]   Sudan
[SEN]   Senegal
[SGP]   Singapore
[SLB]   Solomon Islands
[SLE]   Sierra Leone
[SLV]   El Salvador
[SOM]   Somalia
[SRB]   Serbia
[SSD]   South Sudan
[STP]   Sao Tome and Principe
[SUR]   Suriname
[SVK]   Slovakia
[SVN]   Slovenia
[SWE]   Sweden
[SWZ]   Eswatini
[SYR]   Syrian Arab Republic
[TCD]   Chad
[TGO]   Togo
[THA]   Thailand
[TJK]   Tajikistan
[TKM]   Turkmenistan
[TLS]   Timor-Leste
[TON]   Tonga
[TTO]   Trinidad and Tobago
[TUN]   Tunisia
[TUR]   Türkiye
[TWN]   Taiwan, China
[TZA]   Tanzania, United Republic of
[UGA]   Uganda
[UKR]   Ukraine
[URY]   Uruguay
[USA]   United States
[UZB]   Uzbekistan
[VCT]   Saint Vincent and the Grenadines
[VEN]   Venezuela, Bolivarian Republic of
[VIR]   United States Virgin Islands
[VNM]   Viet Nam
[VUT]   Vanuatu
[WSM]   Samoa
[X01]   World
[X02]   World: Low income
[X03]   World: Lower-middle income
[X04]   World: Upper-middle income
[X05]   World: High income
[X06]   Africa
[X07]   Africa: Low income
[X08]   Africa: Lower-middle income
[X09]   Africa: Upper-middle income
[X10]   Northern Africa
[X11]   Northern Africa: Lower-middle income
[X13]   Sub-Saharan Africa
[X14]   Sub-Saharan Africa: Low income
[X15]   Sub-Saharan Africa: Lower-middle income
[X16]   Sub-Saharan Africa: Upper-middle income
[X17]   Central Africa
[X18]   Eastern Africa
[X19]   Southern Africa
[X20]   Western Africa
[X21]   Americas
[X23]   Americas: Lower-middle income
[X24]   Americas: Upper-middle income
[X25]   Americas: High income
[X26]   Latin America and the Caribbean
[X28]   Latin America and the Caribbean: Lower-middle income
[X29]   Latin America and the Caribbean: Upper-middle income
[X30]   Latin America and the Caribbean: High income
[X31]   Caribbean
[X32]   Central America
[X33]   South America
[X34]   Northern America
[X35]   Northern America: High income
[X36]   Arab States
[X37]   Arab States: Lower-middle income
[X38]   Arab States: Upper-middle income
[X39]   Arab States: High income
[X40]   Asia and the Pacific
[X41]   Asia and the Pacific: Low income
[X42]   Asia and the Pacific: Lower-middle income
[X43]   Asia and the Pacific: Upper-middle income
[X44]   Asia and the Pacific: High income
[X45]   Eastern Asia
[X48]   Eastern Asia: High income
[X49]   South-Eastern Asia and the Pacific
[X51]   South-Eastern Asia and the Pacific: Lower-middle income
[X52]   South-Eastern Asia and the Pacific: Upper-middle income
[X53]   South-Eastern Asia and the Pacific: High income
[X54]   South-Eastern Asia
[X55]   Pacific Islands
[X56]   Southern Asia
[X58]   Southern Asia: Lower-middle income
[X60]   Europe and Central Asia
[X61]   Europe and Central Asia: Lower-middle income
[X62]   Europe and Central Asia: Upper-middle income
[X63]   Europe and Central Asia: High income
[X64]   Northern, Southern and Western Europe
[X65]   Northern, Southern and Western Europe: Upper-middle income
[X66]   Northern, Southern and Western Europe: High income
[X67]   Northern Europe
[X68]   Southern Europe
[X69]   Western Europe
[X70]   Eastern Europe
[X72]   Eastern Europe: Upper-middle income
[X73]   Eastern Europe: High income
[X74]   Central Asia
[X75]   Central and Western Asia: Lower-middle income
[X76]   Central and Western Asia: Upper-middle income
[X77]   Central and Western Asia: High income
[X78]   Central and Western Asia
[X79]   Western Asia
[X82]   European Union 28
[X83]   G20
[X84]   ASEAN
[X85]   BRICS
[X87]   World excluding BRICS
[X88]   G7
[X89]   MENA
[X90]   Arab League
[X91]   CARICOM
[X92]   European Union 27
[X94]   Arab States: Low income
[X97]   APEC
[YEM]   Yemen
[ZAF]   South Africa
[ZMB]   Zambia
[ZWE]   Zimbabwe
 [source]   Source
 [XA_12987]   ILO - Modelled Estimates
[XA_12988]   ILO - Modelled Estimates
[XA_12989]   ILO - Modelled Estimates
[XA_12990]   ILO - Modelled Estimates
[XA_13329]   ILO - Modelled Estimates
[XA_14065]   ILO - Modelled Estimates
[XA_14066]   ILO - Modelled Estimates
[XA_15672]   ILO - Modelled Estimates
[XA_15716]   ILO - Modelled Estimates
[XA_15724]   ILO - Modelled Estimates
[XA_15736]   ILO - Modelled Estimates
[XA_16111]   ILO - Modelled Estimates
[XA_1829]   ILO - Modelled Estimates
[XA_1830]   ILO - Modelled Estimates
[XA_1832]   ILO - Modelled Estimates
[XA_1835]   ILO - Modelled Estimates
[XA_1836]   ILO - Modelled Estimates
[XA_1837]   ILO - Modelled Estimates
[XA_1839]   ILO - Modelled Estimates
[XA_1843]   ILO - Modelled Estimates
[XA_1848]   ILO - Modelled Estimates
[XA_1849]   ILO - Modelled Estimates
[XA_1850]   ILO - Modelled Estimates
[XA_1852]   ILO - Modelled Estimates
[XA_1854]   ILO - Modelled Estimates
[XA_1858]   ILO - Modelled Estimates
[XA_1862]   ILO - Modelled Estimates
[XA_1866]   ILO - Modelled Estimates
[XA_1868]   ILO - Modelled Estimates
[XA_1869]   ILO - Modelled Estimates
[XA_1871]   ILO - Modelled Estimates
[XA_1872]   ILO - Modelled Estimates
[XA_1874]   ILO - Modelled Estimates
[XA_1875]   ILO - Modelled Estimates
[XA_1877]   ILO - Modelled Estimates
[XA_1881]   ILO - Modelled Estimates
[XA_1883]   ILO - Modelled Estimates
[XA_1884]   ILO - Modelled Estimates
[XA_1885]   ILO - Modelled Estimates
[XA_1893]   ILO - Modelled Estimates
[XA_1897]   ILO - Modelled Estimates
[XA_1901]   ILO - Modelled Estimates
[XA_1905]   ILO - Modelled Estimates
[XA_1907]   ILO - Modelled Estimates
[XA_1909]   ILO - Modelled Estimates
[XA_1913]   ILO - Modelled Estimates
[XA_1914]   ILO - Modelled Estimates
[XA_1916]   ILO - Modelled Estimates
[XA_1920]   ILO - Modelled Estimates
[XA_1921]   ILO - Modelled Estimates
[XA_1922]   ILO - Modelled Estimates
[XA_1924]   ILO - Modelled Estimates
[XA_1928]   ILO - Modelled Estimates
[XA_1931]   ILO - Modelled Estimates
[XA_1932]   ILO - Modelled Estimates
[XA_1934]   ILO - Modelled Estimates
[XA_1935]   ILO - Modelled Estimates
[XA_1936]   ILO - Modelled Estimates
[XA_1937]   ILO - Modelled Estimates
[XA_1938]   ILO - Modelled Estimates
[XA_1939]   ILO - Modelled Estimates
[XA_1940]   ILO - Modelled Estimates
[XA_1942]   ILO - Modelled Estimates
[XA_1943]   ILO - Modelled Estimates
[XA_1944]   ILO - Modelled Estimates
[XA_1946]   ILO - Modelled Estimates
[XA_1947]   ILO - Modelled Estimates
[XA_1949]   ILO - Modelled Estimates
[XA_1950]   ILO - Modelled Estimates
[XA_1956]   ILO - Modelled Estimates
[XA_1957]   ILO - Modelled Estimates
[XA_1960]   ILO - Modelled Estimates
[XA_1964]   ILO - Modelled Estimates
[XA_1972]   ILO - Modelled Estimates
[XA_1976]   ILO - Modelled Estimates
[XA_1978]   ILO - Modelled Estimates
[XA_1980]   ILO - Modelled Estimates
[XA_1982]   ILO - Modelled Estimates
[XA_1984]   ILO - Modelled Estimates
[XA_1987]   ILO - Modelled Estimates
[XA_1988]   ILO - Modelled Estimates
[XA_1990]   ILO - Modelled Estimates
[XA_1992]   ILO - Modelled Estimates
[XA_1996]   ILO - Modelled Estimates
[XA_2000]   ILO - Modelled Estimates
[XA_2002]   ILO - Modelled Estimates
[XA_2004]   ILO - Modelled Estimates
[XA_2007]   ILO - Modelled Estimates
[XA_2008]   ILO - Modelled Estimates
[XA_2009]   ILO - Modelled Estimates
[XA_2010]   ILO - Modelled Estimates
[XA_2012]   ILO - Modelled Estimates
[XA_2014]   ILO - Modelled Estimates
[XA_2015]   ILO - Modelled Estimates
[XA_2016]   ILO - Modelled Estimates
[XA_2017]   ILO - Modelled Estimates
[XA_2018]   ILO - Modelled Estimates
[XA_2024]   ILO - Modelled Estimates
[XA_2028]   ILO - Modelled Estimates
[XA_2029]   ILO - Modelled Estimates
[XA_2030]   ILO - Modelled Estimates
[XA_2031]   ILO - Modelled Estimates
[XA_2034]   ILO - Modelled Estimates
[XA_2036]   ILO - Modelled Estimates
[XA_2039]   ILO - Modelled Estimates
[XA_2044]   ILO - Modelled Estimates
[XA_2048]   ILO - Modelled Estimates
[XA_2054]   ILO - Modelled Estimates
[XA_2056]   ILO - Modelled Estimates
[XA_2060]   ILO - Modelled Estimates
[XA_2064]   ILO - Modelled Estimates
[XA_2068]   ILO - Modelled Estimates
[XA_2070]   ILO - Modelled Estimates
[XA_2075]   ILO - Modelled Estimates
[XA_2080]   ILO - Modelled Estimates
[XA_2081]   ILO - Modelled Estimates
[XA_2082]   ILO - Modelled Estimates
[XA_2083]   ILO - Modelled Estimates
[XA_2084]   ILO - Modelled Estimates
[XA_2085]   ILO - Modelled Estimates
[XA_2086]   ILO - Modelled Estimates
[XA_2088]   ILO - Modelled Estimates
[XA_2089]   ILO - Modelled Estimates
[XA_2090]   ILO - Modelled Estimates
[XA_2092]   ILO - Modelled Estimates
[XA_2093]   ILO - Modelled Estimates
[XA_2096]   ILO - Modelled Estimates
[XA_2097]   ILO - Modelled Estimates
[XA_2098]   ILO - Modelled Estimates
[XA_2100]   ILO - Modelled Estimates
[XA_2101]   ILO - Modelled Estimates
[XA_2102]   ILO - Modelled Estimates
[XA_2104]   ILO - Modelled Estimates
[XA_2108]   ILO - Modelled Estimates
[XA_2109]   ILO - Modelled Estimates
[XA_2110]   ILO - Modelled Estimates
[XA_2112]   ILO - Modelled Estimates
[XA_2113]   ILO - Modelled Estimates
[XA_2114]   ILO - Modelled Estimates
[XA_2115]   ILO - Modelled Estimates
[XA_2116]   ILO - Modelled Estimates
[XA_2117]   ILO - Modelled Estimates
[XA_2118]   ILO - Modelled Estimates
[XA_2120]   ILO - Modelled Estimates
[XA_2121]   ILO - Modelled Estimates
[XA_2122]   ILO - Modelled Estimates
[XA_2124]   ILO - Modelled Estimates
[XA_2125]   ILO - Modelled Estimates
[XA_2126]   ILO - Modelled Estimates
[XA_2128]   ILO - Modelled Estimates
[XA_2129]   ILO - Modelled Estimates
[XA_2130]   ILO - Modelled Estimates
[XA_2132]   ILO - Modelled Estimates
[XA_2133]   ILO - Modelled Estimates
[XA_2134]   ILO - Modelled Estimates
[XA_2136]   ILO - Modelled Estimates
[XA_2137]   ILO - Modelled Estimates
[XA_2138]   ILO - Modelled Estimates
[XA_2140]   ILO - Modelled Estimates
[XA_2142]   ILO - Modelled Estimates
[XA_2144]   ILO - Modelled Estimates
[XA_2145]   ILO - Modelled Estimates
[XA_2146]   ILO - Modelled Estimates
[XA_2148]   ILO - Modelled Estimates
[XA_2149]   ILO - Modelled Estimates
[XA_2150]   ILO - Modelled Estimates
[XA_2152]   ILO - Modelled Estimates
[XA_2153]   ILO - Modelled Estimates
[XA_2156]   ILO - Modelled Estimates
[XA_2158]   ILO - Modelled Estimates
[XA_2160]   ILO - Modelled Estimates
[XA_2162]   ILO - Modelled Estimates
[XA_2164]   ILO - Modelled Estimates
[XA_2165]   ILO - Modelled Estimates
[XA_2166]   ILO - Modelled Estimates
[XA_2168]   ILO - Modelled Estimates
[XA_2170]   ILO - Modelled Estimates
[XA_2172]   ILO - Modelled Estimates
[XA_2173]   ILO - Modelled Estimates
[XA_2174]   ILO - Modelled Estimates
[XA_2176]   ILO - Modelled Estimates
[XA_2178]   ILO - Modelled Estimates
[XA_2180]   ILO - Modelled Estimates
[XA_2181]   ILO - Modelled Estimates
[XA_2182]   ILO - Modelled Estimates
[XA_2184]   ILO - Modelled Estimates
[XA_2185]   ILO - Modelled Estimates
[XA_2186]   ILO - Modelled Estimates
[XA_2188]   ILO - Modelled Estimates
[XA_2189]   ILO - Modelled Estimates
[XA_2190]   ILO - Modelled Estimates
[XA_2192]   ILO - Modelled Estimates
[XA_2193]   ILO - Modelled Estimates
[XA_2198]   ILO - Modelled Estimates
[XA_2202]   ILO - Modelled Estimates
[XA_2203]   ILO - Modelled Estimates
[XA_2206]   ILO - Modelled Estimates
[XA_2232]   ILO - Modelled Estimates
[XA_2234]   ILO - Modelled Estimates
[XA_8368]   ILO - Modelled Estimates
[XA_8371]   ILO - Modelled Estimates
[XA_8372]   ILO - Modelled Estimates
[XA_8373]   ILO - Modelled Estimates
[XA_8374]   ILO - Modelled Estimates
[XA_8375]   ILO - Modelled Estimates
[XA_8376]   ILO - Modelled Estimates
[XA_8377]   ILO - Modelled Estimates
[XA_8378]   ILO - Modelled Estimates
[XA_8379]   ILO - Modelled Estimates
[XA_8380]   ILO - Modelled Estimates
[XA_8381]   ILO - Modelled Estimates
[XA_8382]   ILO - Modelled Estimates
[XA_8383]   ILO - Modelled Estimates
[XA_8384]   ILO - Modelled Estimates
[XA_8385]   ILO - Modelled Estimates
[XA_8386]   ILO - Modelled Estimates
[XA_8387]   ILO - Modelled Estimates
[XA_8388]   ILO - Modelled Estimates
[XA_8389]   ILO - Modelled Estimates
[XA_8390]   ILO - Modelled Estimates
[XA_8391]   ILO - Modelled Estimates
[XA_8392]   ILO - Modelled Estimates
[XA_8393]   ILO - Modelled Estimates
[XA_8394]   ILO - Modelled Estimates
[XA_8395]   ILO - Modelled Estimates
[XA_8396]   ILO - Modelled Estimates
[XA_8397]   ILO - Modelled Estimates
[XA_8398]   ILO - Modelled Estimates
[XA_8399]   ILO - Modelled Estimates
[XA_8400]   ILO - Modelled Estimates
[XA_8401]   ILO - Modelled Estimates
[XA_8402]   ILO - Modelled Estimates
[XA_8403]   ILO - Modelled Estimates
[XA_8404]   ILO - Modelled Estimates
[XA_8405]   ILO - Modelled Estimates
[XA_8406]   ILO - Modelled Estimates
[XA_8407]   ILO - Modelled Estimates
[XA_8408]   ILO - Modelled Estimates
[XA_8409]   ILO - Modelled Estimates
[XA_8411]   ILO - Modelled Estimates
[XA_8412]   ILO - Modelled Estimates
[XA_8413]   ILO - Modelled Estimates
[XA_8415]   ILO - Modelled Estimates
[XA_8416]   ILO - Modelled Estimates
[XA_8417]   ILO - Modelled Estimates
[XA_8419]   ILO - Modelled Estimates
[XA_8420]   ILO - Modelled Estimates
[XA_8421]   ILO - Modelled Estimates
[XA_8422]   ILO - Modelled Estimates
[XA_8423]   ILO - Modelled Estimates
[XA_8424]   ILO - Modelled Estimates
[XA_8425]   ILO - Modelled Estimates
[XA_8426]   ILO - Modelled Estimates
[XA_8427]   ILO - Modelled Estimates
[XA_8428]   ILO - Modelled Estimates
[XA_8429]   ILO - Modelled Estimates
[XA_8432]   ILO - Modelled Estimates
[XA_8434]   ILO - Modelled Estimates
[XA_8435]   ILO - Modelled Estimates
[XA_8436]   ILO - Modelled Estimates
[XA_8438]   ILO - Modelled Estimates
[XA_8440]   ILO - Modelled Estimates
[XA_8441]   ILO - Modelled Estimates
[XA_8442]   ILO - Modelled Estimates
[XA_8443]   ILO - Modelled Estimates
[XA_8444]   ILO - Modelled Estimates
[XA_8446]   ILO - Modelled Estimates
[XA_8447]   ILO - Modelled Estimates
[XA_8448]   ILO - Modelled Estimates
[XA_8449]   ILO - Modelled Estimates
[XA_8450]   ILO - Modelled Estimates
 [classif1]   Classification 1
 [AGE_10YRBANDS_TOTAL]   Age (10-year bands): Total
[AGE_10YRBANDS_Y15-24]   Age (10-year bands): 15-24
[AGE_10YRBANDS_Y25-34]   Age (10-year bands): 25-34
[AGE_10YRBANDS_Y35-44]   Age (10-year bands): 35-44
[AGE_10YRBANDS_Y45-54]   Age (10-year bands): 45-54
[AGE_10YRBANDS_Y55-64]   Age (10-year bands): 55-64
[AGE_10YRBANDS_YGE65]   Age (10-year bands): 65+
[AGE_10YRBANDS_YLT15]   Age (10-year bands): <15
[AGE_5YRBANDS_TOTAL]   Age (5-year bands): Total
[AGE_5YRBANDS_Y00-04]   Age (5-year bands): 0-4
[AGE_5YRBANDS_Y05-09]   Age (5-year bands): 5-9
[AGE_5YRBANDS_Y10-14]   Age (5-year bands): 10-14
[AGE_5YRBANDS_Y15-19]   Age (5-year bands): 15-19
[AGE_5YRBANDS_Y20-24]   Age (5-year bands): 20-24
[AGE_5YRBANDS_Y25-29]   Age (5-year bands): 25-29
[AGE_5YRBANDS_Y30-34]   Age (5-year bands): 30-34
[AGE_5YRBANDS_Y35-39]   Age (5-year bands): 35-39
[AGE_5YRBANDS_Y40-44]   Age (5-year bands): 40-44
[AGE_5YRBANDS_Y45-49]   Age (5-year bands): 45-49
[AGE_5YRBANDS_Y50-54]   Age (5-year bands): 50-54
[AGE_5YRBANDS_Y55-59]   Age (5-year bands): 55-59
[AGE_5YRBANDS_Y60-64]   Age (5-year bands): 60-64
[AGE_5YRBANDS_YGE65]   Age (5-year bands): 65+
[AGE_AGGREGATE_TOTAL]   Age (Aggregate bands): Total
[AGE_AGGREGATE_Y15-24]   Age (Aggregate bands): 15-24
[AGE_AGGREGATE_Y25-54]   Age (Aggregate bands): 25-54
[AGE_AGGREGATE_Y55-64]   Age (Aggregate bands): 55-64
[AGE_AGGREGATE_YGE65]   Age (Aggregate bands): 65+
[AGE_AGGREGATE_YLT15]   Age (Aggregate bands): <15
[AGE_YTHADULT_Y15-24]   Age (Youth, adults): 15-24
[AGE_YTHADULT_Y15-64]   Age (Youth, adults): 15-64
[AGE_YTHADULT_YGE15]   Age (Youth, adults): 15+
[AGE_YTHADULT_YGE25]   Age (Youth, adults): 25+
 [sex]   Sex
 [SEX_F]   Sex: Female
[SEX_M]   Sex: Male
[SEX_T]   Sex: Total
 [frequency]   Frequency
 [A]   Annual
Search filters
   Reference area [ref_area]    (271)
 Source [source]    (271)
 Classification 1 [classif1]    (33)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 26,829 series:
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Female – Annual
- from
- 1990=5,346.409
- to
- 2020=19,279.93
- min:
- 5,346.409
- max:
- 19,279.93
- avg:
- 12,121.08
- σ:
- 4,011.23
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Male – Annual
- from
- 1990=5,348.387
- to
- 2020=19,692.301
- min:
- 5,348.387
- max:
- 19,692.301
- avg:
- 12,319.304
- σ:
- 4,159.624
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Total – Annual
- from
- 1990=10,694.796
- to
- 2020=38,972.231
- min:
- 10,694.796
- max:
- 38,972.231
- avg:
- 24,440.383
- σ:
- 8,170.812
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Female – Annual
- from
- 1990=1,034.74
- to
- 2020=4,153.476
- min:
- 1,034.74
- max:
- 4,153.476
- avg:
- 2,404.726
- σ:
- 926.097
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Male – Annual
- from
- 1990=1,048.014
- to
- 2020=4,337.299
- min:
- 1,048.014
- max:
- 4,337.299
- avg:
- 2,500.64
- σ:
- 976.424
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Total – Annual
- from
- 1990=2,082.754
- to
- 2020=8,490.775
- min:
- 2,082.754
- max:
- 8,490.775
- avg:
- 4,905.366
- σ:
- 1,902.514
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Female – Annual
- from
- 1990=692.456
- to
- 2020=2,734.918
- min:
- 692.456
- max:
- 2,734.918
- avg:
- 1,560.44
- σ:
- 547.692
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Male – Annual
- from
- 1990=648.711
- to
- 2020=2,796.206
- min:
- 648.711
- max:
- 2,796.206
- avg:
- 1,577.977
- σ:
- 589.721
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Total – Annual
- from
- 1990=1,341.167
- to
- 2020=5,531.124
- min:
- 1,341.167
- max:
- 5,531.124
- avg:
- 3,138.416
- σ:
- 1,137.254
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 35-44 – Sex: Female – Annual
- from
- 1990=475.09
- to
- 2020=1,684.127
- min:
- 471.248
- max:
- 1,684.127
- avg:
- 1,037.669
- σ:
- 351.372
| Series code | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] | 5346.409 | 5372.208 | 6028.939 | 7000.119 | 7722.096 | 8199.445 | 8537.421 | 8871.958 | 9217.591 | 9595.036 | 9727.541 | 9793.166 | 10438.055 | 11247.647 | 11690.825 | 12109.086 | 12614.498 | 12835.34 | 13088.192 | 13557.331 | 13949.295 | 14468.875 | 15067.373 | 15594.637 | 16172.321 | 16682.054 | 17115.347 | 17614.722 | 18136.922 | 18679.089 | 19279.93 | 
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] | 5348.387 | 5372.96 | 6028.495 | 7003.641 | 7733.458 | 8219.467 | 8569.175 | 8916.862 | 9275.541 | 9667.812 | 9815.442 | 9895.467 | 10562.202 | 11397.483 | 11862.726 | 12302.105 | 12828.447 | 13067.961 | 13339.007 | 13827.977 | 14240.377 | 14780.282 | 15399.106 | 15946.572 | 16543.889 | 17071.446 | 17520.861 | 18028.696 | 18549.863 | 19090.409 | 19692.301 | 
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] | 10694.796 | 10745.167 | 12057.433 | 14003.76 | 15455.555 | 16418.912 | 17106.596 | 17788.819 | 18493.132 | 19262.848 | 19542.982 | 19688.633 | 21000.257 | 22645.13 | 23553.551 | 24411.191 | 25442.944 | 25903.301 | 26427.199 | 27385.308 | 28189.672 | 29249.157 | 30466.479 | 31541.209 | 32716.21 | 33753.499 | 34636.207 | 35643.418 | 36686.784 | 37769.499 | 38972.231 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] | 1034.74 | 1038.414 | 1162.496 | 1344.743 | 1475.783 | 1557.336 | 1609.737 | 1659.537 | 1710.456 | 1766.987 | 1780.477 | 1786.15 | 1902.076 | 2052.399 | 2141.259 | 2240.202 | 2361.851 | 2397.155 | 2461.427 | 2610.166 | 2736.472 | 2905.47 | 3093.585 | 3248.88 | 3413.903 | 3548.851 | 3654.025 | 3777.06 | 3900.158 | 4021.246 | 4153.476 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] | 1048.014 | 1055.646 | 1185.043 | 1375.359 | 1514.657 | 1602.941 | 1661.428 | 1716.483 | 1771.331 | 1831.413 | 1846.932 | 1853.936 | 1975.554 | 2133.08 | 2226.685 | 2328.345 | 2452.747 | 2497.84 | 2571.385 | 2725.02 | 2858.826 | 3032.7 | 3224.798 | 3387.079 | 3558.924 | 3702.727 | 3818.61 | 3948.664 | 4075.644 | 4200.723 | 4337.299 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] | 2082.754 | 2094.06 | 2347.538 | 2720.101 | 2990.44 | 3160.277 | 3271.165 | 3376.02 | 3481.787 | 3598.4 | 3627.408 | 3640.086 | 3877.63 | 4185.478 | 4367.944 | 4568.547 | 4814.597 | 4894.995 | 5032.812 | 5335.185 | 5595.298 | 5938.17 | 6318.383 | 6635.958 | 6972.827 | 7251.577 | 7472.636 | 7725.723 | 7975.801 | 8221.969 | 8490.775 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] | 692.456 | 696.026 | 781.028 | 906.13 | 998.203 | 1057.946 | 1099.249 | 1139.958 | 1182.009 | 1228.061 | 1242.508 | 1247.999 | 1327 | 1426.358 | 1478.595 | 1539.803 | 1615.05 | 1595.605 | 1586.006 | 1646.586 | 1683.19 | 1764.29 | 1873.672 | 1962.894 | 2072.778 | 2165.941 | 2240.985 | 2343.747 | 2459.053 | 2585.59 | 2734.918 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] | 648.711 | 652.248 | 732.798 | 853.477 | 945.543 | 1008.574 | 1056.124 | 1104.285 | 1154.066 | 1208.319 | 1232.038 | 1246.394 | 1333.822 | 1441.83 | 1502.32 | 1570.762 | 1651.916 | 1637.888 | 1633.094 | 1697.788 | 1738.589 | 1823.338 | 1935.819 | 2028.133 | 2140.609 | 2235.923 | 2313.183 | 2415.721 | 2527.558 | 2650.198 | 2796.206 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] | 1341.167 | 1348.275 | 1513.825 | 1759.607 | 1943.746 | 2066.52 | 2155.374 | 2244.243 | 2336.074 | 2436.38 | 2474.546 | 2494.392 | 2660.822 | 2868.189 | 2980.915 | 3110.565 | 3266.966 | 3233.493 | 3219.099 | 3344.374 | 3421.778 | 3587.627 | 3809.49 | 3991.028 | 4213.387 | 4401.863 | 4554.168 | 4759.467 | 4986.611 | 5235.788 | 5531.124 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] | 475.09 | 471.248 | 522.26 | 600.004 | 656.296 | 694.411 | 722.07 | 748.773 | 776.628 | 807.501 | 818.017 | 823.224 | 877.698 | 946.627 | 985.483 | 1026.925 | 1077.851 | 1087.133 | 1100.955 | 1146.548 | 1180.333 | 1231.959 | 1294.389 | 1345.487 | 1403.303 | 1450.647 | 1485.73 | 1529.003 | 1574.603 | 1623.423 | 1684.127 | 
Loading chart 
  Search filters
   Reference area [ref_area]    (271)
 Source [source]    (271)
 Classification 1 [classif1]    (33)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 26,829 series:
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Female – Annual
- from
- 1990=5,346.409
- to
- 2020=19,279.93
- min:
- 5,346.409
- max:
- 19,279.93
- avg:
- 12,121.08
- σ:
- 4,011.23
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Male – Annual
- from
- 1990=5,348.387
- to
- 2020=19,692.301
- min:
- 5,348.387
- max:
- 19,692.301
- avg:
- 12,319.304
- σ:
- 4,159.624
[AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): Total – Sex: Total – Annual
- from
- 1990=10,694.796
- to
- 2020=38,972.231
- min:
- 10,694.796
- max:
- 38,972.231
- avg:
- 24,440.383
- σ:
- 8,170.812
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Female – Annual
- from
- 1990=1,034.74
- to
- 2020=4,153.476
- min:
- 1,034.74
- max:
- 4,153.476
- avg:
- 2,404.726
- σ:
- 926.097
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Male – Annual
- from
- 1990=1,048.014
- to
- 2020=4,337.299
- min:
- 1,048.014
- max:
- 4,337.299
- avg:
- 2,500.64
- σ:
- 976.424
[AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 15-24 – Sex: Total – Annual
- from
- 1990=2,082.754
- to
- 2020=8,490.775
- min:
- 2,082.754
- max:
- 8,490.775
- avg:
- 4,905.366
- σ:
- 1,902.514
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Female – Annual
- from
- 1990=692.456
- to
- 2020=2,734.918
- min:
- 692.456
- max:
- 2,734.918
- avg:
- 1,560.44
- σ:
- 547.692
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Male – Annual
- from
- 1990=648.711
- to
- 2020=2,796.206
- min:
- 648.711
- max:
- 2,796.206
- avg:
- 1,577.977
- σ:
- 589.721
[AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 25-34 – Sex: Total – Annual
- from
- 1990=1,341.167
- to
- 2020=5,531.124
- min:
- 1,341.167
- max:
- 5,531.124
- avg:
- 3,138.416
- σ:
- 1,137.254
[AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (10-year bands): 35-44 – Sex: Female – Annual
- from
- 1990=475.09
- to
- 2020=1,684.127
- min:
- 471.248
- max:
- 1,684.127
- avg:
- 1,037.669
- σ:
- 351.372
| Series code | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_F.A] | 5346.409 | 5372.208 | 6028.939 | 7000.119 | 7722.096 | 8199.445 | 8537.421 | 8871.958 | 9217.591 | 9595.036 | 9727.541 | 9793.166 | 10438.055 | 11247.647 | 11690.825 | 12109.086 | 12614.498 | 12835.34 | 13088.192 | 13557.331 | 13949.295 | 14468.875 | 15067.373 | 15594.637 | 16172.321 | 16682.054 | 17115.347 | 17614.722 | 18136.922 | 18679.089 | 19279.93 | 
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_M.A] | 5348.387 | 5372.96 | 6028.495 | 7003.641 | 7733.458 | 8219.467 | 8569.175 | 8916.862 | 9275.541 | 9667.812 | 9815.442 | 9895.467 | 10562.202 | 11397.483 | 11862.726 | 12302.105 | 12828.447 | 13067.961 | 13339.007 | 13827.977 | 14240.377 | 14780.282 | 15399.106 | 15946.572 | 16543.889 | 17071.446 | 17520.861 | 18028.696 | 18549.863 | 19090.409 | 19692.301 | 
| [AFG.XA_2198.AGE_10YRBANDS_TOTAL.SEX_T.A] | 10694.796 | 10745.167 | 12057.433 | 14003.76 | 15455.555 | 16418.912 | 17106.596 | 17788.819 | 18493.132 | 19262.848 | 19542.982 | 19688.633 | 21000.257 | 22645.13 | 23553.551 | 24411.191 | 25442.944 | 25903.301 | 26427.199 | 27385.308 | 28189.672 | 29249.157 | 30466.479 | 31541.209 | 32716.21 | 33753.499 | 34636.207 | 35643.418 | 36686.784 | 37769.499 | 38972.231 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_F.A] | 1034.74 | 1038.414 | 1162.496 | 1344.743 | 1475.783 | 1557.336 | 1609.737 | 1659.537 | 1710.456 | 1766.987 | 1780.477 | 1786.15 | 1902.076 | 2052.399 | 2141.259 | 2240.202 | 2361.851 | 2397.155 | 2461.427 | 2610.166 | 2736.472 | 2905.47 | 3093.585 | 3248.88 | 3413.903 | 3548.851 | 3654.025 | 3777.06 | 3900.158 | 4021.246 | 4153.476 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_M.A] | 1048.014 | 1055.646 | 1185.043 | 1375.359 | 1514.657 | 1602.941 | 1661.428 | 1716.483 | 1771.331 | 1831.413 | 1846.932 | 1853.936 | 1975.554 | 2133.08 | 2226.685 | 2328.345 | 2452.747 | 2497.84 | 2571.385 | 2725.02 | 2858.826 | 3032.7 | 3224.798 | 3387.079 | 3558.924 | 3702.727 | 3818.61 | 3948.664 | 4075.644 | 4200.723 | 4337.299 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y15-24.SEX_T.A] | 2082.754 | 2094.06 | 2347.538 | 2720.101 | 2990.44 | 3160.277 | 3271.165 | 3376.02 | 3481.787 | 3598.4 | 3627.408 | 3640.086 | 3877.63 | 4185.478 | 4367.944 | 4568.547 | 4814.597 | 4894.995 | 5032.812 | 5335.185 | 5595.298 | 5938.17 | 6318.383 | 6635.958 | 6972.827 | 7251.577 | 7472.636 | 7725.723 | 7975.801 | 8221.969 | 8490.775 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_F.A] | 692.456 | 696.026 | 781.028 | 906.13 | 998.203 | 1057.946 | 1099.249 | 1139.958 | 1182.009 | 1228.061 | 1242.508 | 1247.999 | 1327 | 1426.358 | 1478.595 | 1539.803 | 1615.05 | 1595.605 | 1586.006 | 1646.586 | 1683.19 | 1764.29 | 1873.672 | 1962.894 | 2072.778 | 2165.941 | 2240.985 | 2343.747 | 2459.053 | 2585.59 | 2734.918 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_M.A] | 648.711 | 652.248 | 732.798 | 853.477 | 945.543 | 1008.574 | 1056.124 | 1104.285 | 1154.066 | 1208.319 | 1232.038 | 1246.394 | 1333.822 | 1441.83 | 1502.32 | 1570.762 | 1651.916 | 1637.888 | 1633.094 | 1697.788 | 1738.589 | 1823.338 | 1935.819 | 2028.133 | 2140.609 | 2235.923 | 2313.183 | 2415.721 | 2527.558 | 2650.198 | 2796.206 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y25-34.SEX_T.A] | 1341.167 | 1348.275 | 1513.825 | 1759.607 | 1943.746 | 2066.52 | 2155.374 | 2244.243 | 2336.074 | 2436.38 | 2474.546 | 2494.392 | 2660.822 | 2868.189 | 2980.915 | 3110.565 | 3266.966 | 3233.493 | 3219.099 | 3344.374 | 3421.778 | 3587.627 | 3809.49 | 3991.028 | 4213.387 | 4401.863 | 4554.168 | 4759.467 | 4986.611 | 5235.788 | 5531.124 | 
| [AFG.XA_2198.AGE_10YRBANDS_Y35-44.SEX_F.A] | 475.09 | 471.248 | 522.26 | 600.004 | 656.296 | 694.411 | 722.07 | 748.773 | 776.628 | 807.501 | 818.017 | 823.224 | 877.698 | 946.627 | 985.483 | 1026.925 | 1077.851 | 1087.133 | 1100.955 | 1146.548 | 1180.333 | 1231.959 | 1294.389 | 1345.487 | 1403.303 | 1450.647 | 1485.73 | 1529.003 | 1574.603 | 1623.423 | 1684.127 | 
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