[EIP_2EIP_SEX_AGE_NB] Persons outside the labour force by sex and age -- ILO modelled estimates, Nov. 2023 (thousands)
Retrieved by DBnomics on December 18, 2023 (4:52 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
[X98]   World excluding India and China
[X99]   World: Lower-middle income excluding India
[XA1]   World: Upper-middle income excluding China
[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_16212]   ILO - Modelled Estimates
[XA_16213]   ILO - Modelled Estimates
[XA_16214]   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_YTHADULT_Y15-24]   Age (Youth, adults): 15-24
[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]    (274)
 Source [source]    (274)
 Classification 1 [classif1]    (3)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 2,466 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Female – Annual
- from
- 1991=889.98
- to
- 2025=4,267.752
- min:
- 889.98
- max:
- 4,267.752
- avg:
- 2,351.581
- σ:
- 977.033
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Male – Annual
- from
- 1991=391.604
- to
- 2025=1,923.59
- min:
- 391.604
- max:
- 2,152.682
- avg:
- 1,149.659
- σ:
- 529.302
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Total – Annual
- from
- 1991=1,281.583
- to
- 2025=6,191.343
- min:
- 1,281.583
- max:
- 6,191.343
- avg:
- 3,501.24
- σ:
- 1,492.61
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 1991=2,414.623
- to
- 2025=12,193.971
- min:
- 2,414.623
- max:
- 12,193.971
- avg:
- 6,281.961
- σ:
- 2,639.455
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 1991=567.754
- to
- 2025=3,871.608
- min:
- 567.754
- max:
- 3,871.608
- avg:
- 1,845.389
- σ:
- 1,047.631
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 1991=2,982.377
- to
- 2025=16,065.579
- min:
- 2,982.377
- max:
- 16,065.579
- avg:
- 8,127.35
- σ:
- 3,668.606
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 1991=1,524.643
- to
- 2025=7,926.219
- min:
- 1,524.643
- max:
- 7,926.219
- avg:
- 3,930.381
- σ:
- 1,669.629
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 1991=176.15
- to
- 2025=1,948.018
- min:
- 176.15
- max:
- 1,948.018
- avg:
- 695.73
- σ:
- 543.185
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 1991=1,700.793
- to
- 2025=9,874.236
- min:
- 1,700.793
- max:
- 9,874.236
- avg:
- 4,626.11
- σ:
- 2,200.891
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A]   Angola – ILO - Modelled Estimates (XA_2010) – Age (Youth, adults): 15-24 – Sex: Female – Annual
- from
- 1991=459.768
- to
- 2025=1,808.97
- min:
- 459.768
- max:
- 1,808.97
- avg:
- 966.663
- σ:
- 399.273
| Series code | 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 | 2021 | 2022 | 2023 | 2024 | 2025 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A] | 889.98 | 995.823 | 1152.259 | 1265.227 | 1335.051 | 1383.536 | 1429.46 | 1475.317 | 1524.978 | 1536.827 | 1537.214 | 1631.122 | 1753.571 | 1823.32 | 1901.765 | 2013.038 | 2051.223 | 2112.935 | 2244.504 | 2353.482 | 2485.51 | 2628.533 | 2730.029 | 2835.434 | 2911.813 | 2960.197 | 3019.259 | 3157.055 | 3297.241 | 3471.8 | 3637.923 | 4105.798 | 4169.873 | 4216.47 | 4267.752 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 391.604 | 441.473 | 515.434 | 571.984 | 610.919 | 635.106 | 656.745 | 677.127 | 698.639 | 702.532 | 703.482 | 747.791 | 805.507 | 838.88 | 874.664 | 924.28 | 945.593 | 977.094 | 1037.87 | 1092.874 | 1162.116 | 1239.153 | 1325.416 | 1418.904 | 1505.357 | 1584.179 | 1671.34 | 1813.643 | 1959.816 | 2133.159 | 2152.682 | 1754.705 | 1850.345 | 1894.066 | 1923.59 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 1281.583 | 1437.296 | 1667.693 | 1837.211 | 1945.97 | 2018.642 | 2086.204 | 2152.445 | 2223.617 | 2239.359 | 2240.696 | 2378.913 | 2559.078 | 2662.2 | 2776.43 | 2937.319 | 2996.816 | 3090.029 | 3282.374 | 3446.356 | 3647.626 | 3867.685 | 4055.445 | 4254.337 | 4417.17 | 4544.376 | 4690.598 | 4970.698 | 5257.057 | 5604.959 | 5790.605 | 5860.503 | 6020.217 | 6110.536 | 6191.343 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 2414.623 | 2699.876 | 3123.706 | 3430.934 | 3622.565 | 3759.363 | 3892.903 | 4029.041 | 4177.708 | 4221.196 | 4230.715 | 4492.512 | 4827.542 | 5009.648 | 5207.664 | 5476.394 | 5534.098 | 5630.802 | 5901.228 | 6110.097 | 6395.979 | 6729.214 | 6956.956 | 7210.865 | 7402.668 | 7530.952 | 7699.209 | 8126.556 | 8582.318 | 9145.526 | 9666.438 | 11096.733 | 11496.071 | 11842.576 | 12193.971 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 567.754 | 636.232 | 740.233 | 819.678 | 875.067 | 908.02 | 939.022 | 969.917 | 1004.357 | 1014.605 | 1025.006 | 1098.572 | 1191.521 | 1246.922 | 1306.282 | 1371.982 | 1380.613 | 1401.48 | 1473.171 | 1536.777 | 1640.632 | 1765.392 | 1920.076 | 2094.782 | 2263.676 | 2424.586 | 2607.8 | 2915.374 | 3238.166 | 3648.052 | 3663.354 | 3489.067 | 3725.49 | 3813.34 | 3871.608 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 2982.377 | 3336.108 | 3863.938 | 4250.613 | 4497.632 | 4667.383 | 4831.925 | 4998.958 | 5182.064 | 5235.801 | 5255.721 | 5591.084 | 6019.063 | 6256.569 | 6513.946 | 6848.376 | 6914.711 | 7032.282 | 7374.4 | 7646.874 | 8036.611 | 8494.605 | 8877.032 | 9305.647 | 9666.344 | 9955.538 | 10307.009 | 11041.93 | 11820.483 | 12793.577 | 13329.792 | 14585.8 | 15221.561 | 15655.916 | 16065.579 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 1524.643 | 1704.053 | 1971.447 | 2165.707 | 2287.514 | 2375.827 | 2463.444 | 2553.724 | 2652.729 | 2684.37 | 2693.501 | 2861.39 | 3073.97 | 3186.328 | 3305.899 | 3463.355 | 3482.875 | 3517.867 | 3656.725 | 3756.615 | 3910.469 | 4100.681 | 4226.927 | 4375.431 | 4490.855 | 4570.755 | 4679.95 | 4969.501 | 5285.077 | 5673.725 | 6028.515 | 6990.935 | 7326.199 | 7626.106 | 7926.219 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 176.15 | 194.759 | 224.798 | 247.694 | 264.148 | 272.914 | 282.277 | 292.79 | 305.718 | 312.073 | 321.524 | 350.781 | 386.014 | 408.042 | 431.618 | 447.702 | 435.02 | 424.385 | 435.301 | 443.903 | 478.516 | 526.239 | 594.66 | 675.879 | 758.319 | 840.407 | 936.46 | 1101.732 | 1278.35 | 1514.894 | 1510.672 | 1734.362 | 1875.145 | 1919.274 | 1948.018 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 1700.793 | 1898.812 | 2196.245 | 2413.402 | 2551.662 | 2648.741 | 2745.721 | 2846.513 | 2958.447 | 2996.442 | 3015.025 | 3212.171 | 3459.985 | 3594.369 | 3737.516 | 3911.057 | 3917.895 | 3942.253 | 4092.025 | 4200.518 | 4388.985 | 4626.92 | 4821.587 | 5051.31 | 5249.174 | 5411.162 | 5616.41 | 6071.232 | 6563.427 | 7188.619 | 7539.187 | 8725.297 | 9201.343 | 9545.38 | 9874.236 | 
| [AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 459.768 | 471.875 | 484.236 | 500.48 | 519.76 | 539.207 | 560.939 | 584.66 | 610.117 | 637.485 | 664.008 | 693.128 | 722.691 | 753.949 | 785.976 | 815.14 | 845.115 | 874.909 | 903.713 | 933.76 | 998.136 | 1040.129 | 1083.164 | 1127.542 | 1173.883 | 1223.782 | 1277.86 | 1335.226 | 1396.52 | 1470.566 | 1518.509 | 1606.744 | 1672.339 | 1738.913 | 1808.97 | 
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   Reference area [ref_area]    (274)
 Source [source]    (274)
 Classification 1 [classif1]    (3)
 Sex [sex]    (3)
 Frequency [frequency]    (1)
 This dataset has 2,466 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Female – Annual
- from
- 1991=889.98
- to
- 2025=4,267.752
- min:
- 889.98
- max:
- 4,267.752
- avg:
- 2,351.581
- σ:
- 977.033
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Male – Annual
- from
- 1991=391.604
- to
- 2025=1,923.59
- min:
- 391.604
- max:
- 2,152.682
- avg:
- 1,149.659
- σ:
- 529.302
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Sex: Total – Annual
- from
- 1991=1,281.583
- to
- 2025=6,191.343
- min:
- 1,281.583
- max:
- 6,191.343
- avg:
- 3,501.24
- σ:
- 1,492.61
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 1991=2,414.623
- to
- 2025=12,193.971
- min:
- 2,414.623
- max:
- 12,193.971
- avg:
- 6,281.961
- σ:
- 2,639.455
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 1991=567.754
- to
- 2025=3,871.608
- min:
- 567.754
- max:
- 3,871.608
- avg:
- 1,845.389
- σ:
- 1,047.631
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 1991=2,982.377
- to
- 2025=16,065.579
- min:
- 2,982.377
- max:
- 16,065.579
- avg:
- 8,127.35
- σ:
- 3,668.606
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 1991=1,524.643
- to
- 2025=7,926.219
- min:
- 1,524.643
- max:
- 7,926.219
- avg:
- 3,930.381
- σ:
- 1,669.629
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 1991=176.15
- to
- 2025=1,948.018
- min:
- 176.15
- max:
- 1,948.018
- avg:
- 695.73
- σ:
- 543.185
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A]   Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 1991=1,700.793
- to
- 2025=9,874.236
- min:
- 1,700.793
- max:
- 9,874.236
- avg:
- 4,626.11
- σ:
- 2,200.891
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A]   Angola – ILO - Modelled Estimates (XA_2010) – Age (Youth, adults): 15-24 – Sex: Female – Annual
- from
- 1991=459.768
- to
- 2025=1,808.97
- min:
- 459.768
- max:
- 1,808.97
- avg:
- 966.663
- σ:
- 399.273
| Series code | 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 | 2021 | 2022 | 2023 | 2024 | 2025 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A] | 889.98 | 995.823 | 1152.259 | 1265.227 | 1335.051 | 1383.536 | 1429.46 | 1475.317 | 1524.978 | 1536.827 | 1537.214 | 1631.122 | 1753.571 | 1823.32 | 1901.765 | 2013.038 | 2051.223 | 2112.935 | 2244.504 | 2353.482 | 2485.51 | 2628.533 | 2730.029 | 2835.434 | 2911.813 | 2960.197 | 3019.259 | 3157.055 | 3297.241 | 3471.8 | 3637.923 | 4105.798 | 4169.873 | 4216.47 | 4267.752 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 391.604 | 441.473 | 515.434 | 571.984 | 610.919 | 635.106 | 656.745 | 677.127 | 698.639 | 702.532 | 703.482 | 747.791 | 805.507 | 838.88 | 874.664 | 924.28 | 945.593 | 977.094 | 1037.87 | 1092.874 | 1162.116 | 1239.153 | 1325.416 | 1418.904 | 1505.357 | 1584.179 | 1671.34 | 1813.643 | 1959.816 | 2133.159 | 2152.682 | 1754.705 | 1850.345 | 1894.066 | 1923.59 | 
| [AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 1281.583 | 1437.296 | 1667.693 | 1837.211 | 1945.97 | 2018.642 | 2086.204 | 2152.445 | 2223.617 | 2239.359 | 2240.696 | 2378.913 | 2559.078 | 2662.2 | 2776.43 | 2937.319 | 2996.816 | 3090.029 | 3282.374 | 3446.356 | 3647.626 | 3867.685 | 4055.445 | 4254.337 | 4417.17 | 4544.376 | 4690.598 | 4970.698 | 5257.057 | 5604.959 | 5790.605 | 5860.503 | 6020.217 | 6110.536 | 6191.343 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 2414.623 | 2699.876 | 3123.706 | 3430.934 | 3622.565 | 3759.363 | 3892.903 | 4029.041 | 4177.708 | 4221.196 | 4230.715 | 4492.512 | 4827.542 | 5009.648 | 5207.664 | 5476.394 | 5534.098 | 5630.802 | 5901.228 | 6110.097 | 6395.979 | 6729.214 | 6956.956 | 7210.865 | 7402.668 | 7530.952 | 7699.209 | 8126.556 | 8582.318 | 9145.526 | 9666.438 | 11096.733 | 11496.071 | 11842.576 | 12193.971 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 567.754 | 636.232 | 740.233 | 819.678 | 875.067 | 908.02 | 939.022 | 969.917 | 1004.357 | 1014.605 | 1025.006 | 1098.572 | 1191.521 | 1246.922 | 1306.282 | 1371.982 | 1380.613 | 1401.48 | 1473.171 | 1536.777 | 1640.632 | 1765.392 | 1920.076 | 2094.782 | 2263.676 | 2424.586 | 2607.8 | 2915.374 | 3238.166 | 3648.052 | 3663.354 | 3489.067 | 3725.49 | 3813.34 | 3871.608 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 2982.377 | 3336.108 | 3863.938 | 4250.613 | 4497.632 | 4667.383 | 4831.925 | 4998.958 | 5182.064 | 5235.801 | 5255.721 | 5591.084 | 6019.063 | 6256.569 | 6513.946 | 6848.376 | 6914.711 | 7032.282 | 7374.4 | 7646.874 | 8036.611 | 8494.605 | 8877.032 | 9305.647 | 9666.344 | 9955.538 | 10307.009 | 11041.93 | 11820.483 | 12793.577 | 13329.792 | 14585.8 | 15221.561 | 15655.916 | 16065.579 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 1524.643 | 1704.053 | 1971.447 | 2165.707 | 2287.514 | 2375.827 | 2463.444 | 2553.724 | 2652.729 | 2684.37 | 2693.501 | 2861.39 | 3073.97 | 3186.328 | 3305.899 | 3463.355 | 3482.875 | 3517.867 | 3656.725 | 3756.615 | 3910.469 | 4100.681 | 4226.927 | 4375.431 | 4490.855 | 4570.755 | 4679.95 | 4969.501 | 5285.077 | 5673.725 | 6028.515 | 6990.935 | 7326.199 | 7626.106 | 7926.219 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 176.15 | 194.759 | 224.798 | 247.694 | 264.148 | 272.914 | 282.277 | 292.79 | 305.718 | 312.073 | 321.524 | 350.781 | 386.014 | 408.042 | 431.618 | 447.702 | 435.02 | 424.385 | 435.301 | 443.903 | 478.516 | 526.239 | 594.66 | 675.879 | 758.319 | 840.407 | 936.46 | 1101.732 | 1278.35 | 1514.894 | 1510.672 | 1734.362 | 1875.145 | 1919.274 | 1948.018 | 
| [AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 1700.793 | 1898.812 | 2196.245 | 2413.402 | 2551.662 | 2648.741 | 2745.721 | 2846.513 | 2958.447 | 2996.442 | 3015.025 | 3212.171 | 3459.985 | 3594.369 | 3737.516 | 3911.057 | 3917.895 | 3942.253 | 4092.025 | 4200.518 | 4388.985 | 4626.92 | 4821.587 | 5051.31 | 5249.174 | 5411.162 | 5616.41 | 6071.232 | 6563.427 | 7188.619 | 7539.187 | 8725.297 | 9201.343 | 9545.38 | 9874.236 | 
| [AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 459.768 | 471.875 | 484.236 | 500.48 | 519.76 | 539.207 | 560.939 | 584.66 | 610.117 | 637.485 | 664.008 | 693.128 | 722.691 | 753.949 | 785.976 | 815.14 | 845.115 | 874.909 | 903.713 | 933.76 | 998.136 | 1040.129 | 1083.164 | 1127.542 | 1173.883 | 1223.782 | 1277.86 | 1335.226 | 1396.52 | 1470.566 | 1518.509 | 1606.744 | 1672.339 | 1738.913 | 1808.97 | 
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