[LUU_2LU4_SEX_AGE_NB] Composite measure of labour underutilization (LU4) by sex and age -- ILO modelled estimates, Nov. 2022 (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
[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_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] (271)
Source [source] (271)
Classification 1 [classif1] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 2,439 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
- 2005=197.348
- to
- 2020=874.61
- min:
- 197.348
- max:
- 874.61
- avg:
- 385.11
- σ:
- 218.514
[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
- 2005=455.543
- to
- 2020=1,017.152
- min:
- 455.543
- max:
- 1,017.152
- avg:
- 675.41
- σ:
- 195.148
[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
- 2005=652.89
- to
- 2020=1,891.761
- min:
- 652.89
- max:
- 1,891.761
- avg:
- 1,060.521
- σ:
- 411.701
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 2005=553.388
- to
- 2020=1,852.705
- min:
- 553.388
- max:
- 1,852.705
- avg:
- 923.998
- σ:
- 402.731
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 2005=1,325.251
- to
- 2020=2,556.427
- min:
- 1,325.251
- max:
- 2,556.427
- avg:
- 1,795.359
- σ:
- 380.783
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 2005=1,878.639
- to
- 2020=4,409.132
- min:
- 1,878.639
- max:
- 4,409.132
- avg:
- 2,719.357
- σ:
- 779.958
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 2005=356.041
- to
- 2020=978.095
- min:
- 356.041
- max:
- 978.095
- avg:
- 538.888
- σ:
- 184.866
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 2005=869.708
- to
- 2020=1,539.276
- min:
- 869.708
- max:
- 1,539.276
- avg:
- 1,119.948
- σ:
- 188.92
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 2005=1,225.749
- to
- 2020=2,517.371
- min:
- 1,225.749
- max:
- 2,517.371
- avg:
- 1,658.836
- σ:
- 371.65
[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
- 2005=598.782
- to
- 2022=1,256.669
- min:
- 598.782
- max:
- 1,304.337
- avg:
- 975.359
- σ:
- 230.456
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A] | 197.348 | 203.71 | 202.693 | 203.942 | 213.873 | 222.727 | 239.786 | 261.21 | 283.613 | 308.141 | 398.039 | 506.827 | 645.032 | 681.034 | 719.18 | 874.61 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 455.543 | 476.239 | 482.553 | 492.159 | 518.65 | 539.226 | 563.596 | 593.422 | 609.701 | 627.236 | 728.451 | 833.38 | 949.155 | 956.661 | 963.442 | 1017.152 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 652.89 | 679.949 | 685.245 | 696.1 | 732.523 | 761.953 | 803.382 | 854.633 | 893.314 | 935.377 | 1126.491 | 1340.207 | 1594.187 | 1637.695 | 1682.622 | 1891.761 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 553.388 | 574.47 | 575.017 | 578.557 | 603.59 | 623.659 | 659.471 | 706.969 | 758.852 | 817.742 | 979.3 | 1163.137 | 1388.778 | 1444.144 | 1504.19 | 1852.705 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 1325.251 | 1386.444 | 1398.277 | 1412.643 | 1479.198 | 1526.101 | 1587.275 | 1673.092 | 1723.631 | 1783.605 | 1942.9 | 2095.605 | 2265.346 | 2277.649 | 2292.297 | 2556.427 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 1878.639 | 1960.915 | 1973.294 | 1991.2 | 2082.788 | 2149.76 | 2246.746 | 2380.061 | 2482.483 | 2601.347 | 2922.2 | 3258.742 | 3654.124 | 3721.793 | 3796.487 | 4409.132 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 356.041 | 370.76 | 372.324 | 374.615 | 389.717 | 400.932 | 419.684 | 445.759 | 475.239 | 509.601 | 581.261 | 656.311 | 743.746 | 763.109 | 785.01 | 978.095 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 869.708 | 910.205 | 915.724 | 920.484 | 960.548 | 986.875 | 1023.679 | 1079.67 | 1113.93 | 1156.369 | 1214.448 | 1262.225 | 1316.191 | 1320.988 | 1328.855 | 1539.276 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 1225.749 | 1280.965 | 1288.049 | 1295.1 | 1350.265 | 1387.807 | 1443.364 | 1525.429 | 1589.169 | 1665.97 | 1795.709 | 1918.535 | 2059.937 | 2084.098 | 2113.865 | 2517.371 | - | - |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 598.782 | 618.607 | 638.186 | 658.347 | 678.927 | 1025.531 | 939.654 | 963.273 | 991.237 | 1019.379 | 1053.729 | 1090.561 | 1128.185 | 1168.915 | 1210.315 | 1304.337 | 1211.825 | 1256.669 |
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Reference area [ref_area] (271)
Source [source] (271)
Classification 1 [classif1] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 2,439 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
- 2005=197.348
- to
- 2020=874.61
- min:
- 197.348
- max:
- 874.61
- avg:
- 385.11
- σ:
- 218.514
[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
- 2005=455.543
- to
- 2020=1,017.152
- min:
- 455.543
- max:
- 1,017.152
- avg:
- 675.41
- σ:
- 195.148
[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
- 2005=652.89
- to
- 2020=1,891.761
- min:
- 652.89
- max:
- 1,891.761
- avg:
- 1,060.521
- σ:
- 411.701
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 2005=553.388
- to
- 2020=1,852.705
- min:
- 553.388
- max:
- 1,852.705
- avg:
- 923.998
- σ:
- 402.731
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 2005=1,325.251
- to
- 2020=2,556.427
- min:
- 1,325.251
- max:
- 2,556.427
- avg:
- 1,795.359
- σ:
- 380.783
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 2005=1,878.639
- to
- 2020=4,409.132
- min:
- 1,878.639
- max:
- 4,409.132
- avg:
- 2,719.357
- σ:
- 779.958
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 2005=356.041
- to
- 2020=978.095
- min:
- 356.041
- max:
- 978.095
- avg:
- 538.888
- σ:
- 184.866
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 2005=869.708
- to
- 2020=1,539.276
- min:
- 869.708
- max:
- 1,539.276
- avg:
- 1,119.948
- σ:
- 188.92
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 2005=1,225.749
- to
- 2020=2,517.371
- min:
- 1,225.749
- max:
- 2,517.371
- avg:
- 1,658.836
- σ:
- 371.65
[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
- 2005=598.782
- to
- 2022=1,256.669
- min:
- 598.782
- max:
- 1,304.337
- avg:
- 975.359
- σ:
- 230.456
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A] | 197.348 | 203.71 | 202.693 | 203.942 | 213.873 | 222.727 | 239.786 | 261.21 | 283.613 | 308.141 | 398.039 | 506.827 | 645.032 | 681.034 | 719.18 | 874.61 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 455.543 | 476.239 | 482.553 | 492.159 | 518.65 | 539.226 | 563.596 | 593.422 | 609.701 | 627.236 | 728.451 | 833.38 | 949.155 | 956.661 | 963.442 | 1017.152 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 652.89 | 679.949 | 685.245 | 696.1 | 732.523 | 761.953 | 803.382 | 854.633 | 893.314 | 935.377 | 1126.491 | 1340.207 | 1594.187 | 1637.695 | 1682.622 | 1891.761 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 553.388 | 574.47 | 575.017 | 578.557 | 603.59 | 623.659 | 659.471 | 706.969 | 758.852 | 817.742 | 979.3 | 1163.137 | 1388.778 | 1444.144 | 1504.19 | 1852.705 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 1325.251 | 1386.444 | 1398.277 | 1412.643 | 1479.198 | 1526.101 | 1587.275 | 1673.092 | 1723.631 | 1783.605 | 1942.9 | 2095.605 | 2265.346 | 2277.649 | 2292.297 | 2556.427 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 1878.639 | 1960.915 | 1973.294 | 1991.2 | 2082.788 | 2149.76 | 2246.746 | 2380.061 | 2482.483 | 2601.347 | 2922.2 | 3258.742 | 3654.124 | 3721.793 | 3796.487 | 4409.132 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 356.041 | 370.76 | 372.324 | 374.615 | 389.717 | 400.932 | 419.684 | 445.759 | 475.239 | 509.601 | 581.261 | 656.311 | 743.746 | 763.109 | 785.01 | 978.095 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 869.708 | 910.205 | 915.724 | 920.484 | 960.548 | 986.875 | 1023.679 | 1079.67 | 1113.93 | 1156.369 | 1214.448 | 1262.225 | 1316.191 | 1320.988 | 1328.855 | 1539.276 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 1225.749 | 1280.965 | 1288.049 | 1295.1 | 1350.265 | 1387.807 | 1443.364 | 1525.429 | 1589.169 | 1665.97 | 1795.709 | 1918.535 | 2059.937 | 2084.098 | 2113.865 | 2517.371 | - | - |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 598.782 | 618.607 | 638.186 | 658.347 | 678.927 | 1025.531 | 939.654 | 963.273 | 991.237 | 1019.379 | 1053.729 | 1090.561 | 1128.185 | 1168.915 | 1210.315 | 1304.337 | 1211.825 | 1256.669 |
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