[LUU_2LU3_SEX_AGE_RT] Combined rate of unemployment and potential labour force (LU3) by sex and age -- ILO modelled estimates, Nov. 2022 (%)
Retrieved by DBnomics on September 5, 2023 (5:48 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
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[XA_1832] ILO - Modelled Estimates
[XA_1835] ILO - Modelled Estimates
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[XA_1839] ILO - Modelled Estimates
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[XA_1848] ILO - Modelled Estimates
[XA_1849] ILO - Modelled Estimates
[XA_1850] ILO - Modelled Estimates
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[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
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[XA_1877] ILO - Modelled Estimates
[XA_1881] ILO - Modelled Estimates
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[XA_1885] ILO - Modelled Estimates
[XA_1893] ILO - Modelled Estimates
[XA_1897] ILO - Modelled Estimates
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[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
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[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=34.729
- to
- 2020=56.396
- min:
- 31.705
- max:
- 56.396
- avg:
- 37.755
- σ:
- 6.279
[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=15.916
- to
- 2020=25.996
- min:
- 14.062
- max:
- 25.996
- avg:
- 17.519
- σ:
- 3.594
[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=20.103
- to
- 2020=35.901
- min:
- 18.386
- max:
- 35.901
- avg:
- 22.671
- σ:
- 5.134
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 2005=30.895
- to
- 2020=49.712
- min:
- 28.485
- max:
- 49.712
- avg:
- 32.651
- σ:
- 4.772
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 2005=11.252
- to
- 2020=17.844
- min:
- 10.36
- max:
- 17.844
- avg:
- 12.122
- σ:
- 2.059
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 2005=15.285
- to
- 2020=26.53
- min:
- 14.42
- max:
- 26.53
- avg:
- 16.816
- σ:
- 3.216
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 2005=28.881
- to
- 2020=45.011
- min:
- 26.614
- max:
- 45.011
- avg:
- 29.604
- σ:
- 4.046
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 2005=9.149
- to
- 2020=14.007
- min:
- 8.56
- max:
- 14.007
- avg:
- 9.558
- σ:
- 1.365
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 2005=13.042
- to
- 2020=21.586
- min:
- 12.414
- max:
- 21.586
- avg:
- 13.871
- σ:
- 2.231
[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=27.833
- to
- 2022=38.908
- min:
- 27.238
- max:
- 42.121
- avg:
- 35.314
- σ:
- 5.018
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] | 34.729 | 34.73 | 34.822 | 34.719 | 34.69 | 34.486 | 33.883 | 33.42 | 32.533 | 31.705 | 35.73 | 39.961 | 44.359 | 44.06 | 43.85 | 56.396 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 15.916 | 15.748 | 15.68 | 15.468 | 15.354 | 15.167 | 14.809 | 14.616 | 14.316 | 14.062 | 16.731 | 19.522 | 22.376 | 22.29 | 22.25 | 25.996 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 20.103 | 19.914 | 19.81 | 19.562 | 19.441 | 19.249 | 18.935 | 18.802 | 18.573 | 18.386 | 21.725 | 25.289 | 29.05 | 28.994 | 28.998 | 35.901 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 30.895 | 30.928 | 31.08 | 31.062 | 31.131 | 31.043 | 30.579 | 30.256 | 29.339 | 28.485 | 30.566 | 32.793 | 35.149 | 34.83 | 34.573 | 49.712 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 11.252 | 11.124 | 11.091 | 10.918 | 10.891 | 10.796 | 10.592 | 10.586 | 10.449 | 10.36 | 11.701 | 13.106 | 14.535 | 14.403 | 14.308 | 17.844 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 15.285 | 15.149 | 15.118 | 14.946 | 14.92 | 14.827 | 14.629 | 14.633 | 14.506 | 14.42 | 16.182 | 18.067 | 20.05 | 19.933 | 19.861 | 26.53 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 28.881 | 28.946 | 29.143 | 29.165 | 29.265 | 29.21 | 28.766 | 28.468 | 27.505 | 26.614 | 27.477 | 28.367 | 29.249 | 28.928 | 28.668 | 45.011 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 9.149 | 9.038 | 9.002 | 8.816 | 8.8 | 8.717 | 8.56 | 8.631 | 8.569 | 8.563 | 9.258 | 9.986 | 10.722 | 10.598 | 10.517 | 14.007 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 13.042 | 12.935 | 12.925 | 12.762 | 12.753 | 12.674 | 12.499 | 12.546 | 12.454 | 12.414 | 13.35 | 14.331 | 15.329 | 15.205 | 15.131 | 21.586 | - | - |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 27.833 | 27.656 | 27.477 | 27.344 | 27.238 | 42.121 | 38.022 | 37.574 | 37.336 | 37.12 | 37.214 | 37.293 | 37.322 | 37.413 | 37.472 | 41.116 | 39.197 | 38.908 |
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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=34.729
- to
- 2020=56.396
- min:
- 31.705
- max:
- 56.396
- avg:
- 37.755
- σ:
- 6.279
[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=15.916
- to
- 2020=25.996
- min:
- 14.062
- max:
- 25.996
- avg:
- 17.519
- σ:
- 3.594
[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=20.103
- to
- 2020=35.901
- min:
- 18.386
- max:
- 35.901
- avg:
- 22.671
- σ:
- 5.134
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 2005=30.895
- to
- 2020=49.712
- min:
- 28.485
- max:
- 49.712
- avg:
- 32.651
- σ:
- 4.772
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 2005=11.252
- to
- 2020=17.844
- min:
- 10.36
- max:
- 17.844
- avg:
- 12.122
- σ:
- 2.059
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 2005=15.285
- to
- 2020=26.53
- min:
- 14.42
- max:
- 26.53
- avg:
- 16.816
- σ:
- 3.216
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 2005=28.881
- to
- 2020=45.011
- min:
- 26.614
- max:
- 45.011
- avg:
- 29.604
- σ:
- 4.046
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 2005=9.149
- to
- 2020=14.007
- min:
- 8.56
- max:
- 14.007
- avg:
- 9.558
- σ:
- 1.365
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 2005=13.042
- to
- 2020=21.586
- min:
- 12.414
- max:
- 21.586
- avg:
- 13.871
- σ:
- 2.231
[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=27.833
- to
- 2022=38.908
- min:
- 27.238
- max:
- 42.121
- avg:
- 35.314
- σ:
- 5.018
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] | 34.729 | 34.73 | 34.822 | 34.719 | 34.69 | 34.486 | 33.883 | 33.42 | 32.533 | 31.705 | 35.73 | 39.961 | 44.359 | 44.06 | 43.85 | 56.396 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 15.916 | 15.748 | 15.68 | 15.468 | 15.354 | 15.167 | 14.809 | 14.616 | 14.316 | 14.062 | 16.731 | 19.522 | 22.376 | 22.29 | 22.25 | 25.996 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 20.103 | 19.914 | 19.81 | 19.562 | 19.441 | 19.249 | 18.935 | 18.802 | 18.573 | 18.386 | 21.725 | 25.289 | 29.05 | 28.994 | 28.998 | 35.901 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 30.895 | 30.928 | 31.08 | 31.062 | 31.131 | 31.043 | 30.579 | 30.256 | 29.339 | 28.485 | 30.566 | 32.793 | 35.149 | 34.83 | 34.573 | 49.712 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 11.252 | 11.124 | 11.091 | 10.918 | 10.891 | 10.796 | 10.592 | 10.586 | 10.449 | 10.36 | 11.701 | 13.106 | 14.535 | 14.403 | 14.308 | 17.844 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 15.285 | 15.149 | 15.118 | 14.946 | 14.92 | 14.827 | 14.629 | 14.633 | 14.506 | 14.42 | 16.182 | 18.067 | 20.05 | 19.933 | 19.861 | 26.53 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 28.881 | 28.946 | 29.143 | 29.165 | 29.265 | 29.21 | 28.766 | 28.468 | 27.505 | 26.614 | 27.477 | 28.367 | 29.249 | 28.928 | 28.668 | 45.011 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 9.149 | 9.038 | 9.002 | 8.816 | 8.8 | 8.717 | 8.56 | 8.631 | 8.569 | 8.563 | 9.258 | 9.986 | 10.722 | 10.598 | 10.517 | 14.007 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 13.042 | 12.935 | 12.925 | 12.762 | 12.753 | 12.674 | 12.499 | 12.546 | 12.454 | 12.414 | 13.35 | 14.331 | 15.329 | 15.205 | 15.131 | 21.586 | - | - |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 27.833 | 27.656 | 27.477 | 27.344 | 27.238 | 42.121 | 38.022 | 37.574 | 37.336 | 37.12 | 37.214 | 37.293 | 37.322 | 37.413 | 37.472 | 41.116 | 39.197 | 38.908 |
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