[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).
[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
[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
[AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
[AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
[AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[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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