[EIP_2WAP_SEX_AGE_RT] Inactivity rate by sex and age -- ILO modelled estimates, Nov. 2023 (%)
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=85.706
- to
- 2025=92.231
- min:
- 79.937
- max:
- 94.006
- avg:
- 85.722
- σ:
- 3.141
[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=37.096
- to
- 2025=39.796
- min:
- 37.096
- max:
- 49.182
- avg:
- 39.542
- σ:
- 3.025
[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=61.201
- to
- 2025=65.442
- min:
- 60.714
- max:
- 66.352
- avg:
- 62.195
- σ:
- 1.763
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 1991=84.365
- to
- 2025=94.842
- min:
- 78.773
- max:
- 95.172
- avg:
- 84.883
- σ:
- 3.93
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 1991=20.543
- to
- 2025=30.171
- min:
- 20.543
- max:
- 33.311
- avg:
- 23.89
- σ:
- 4.066
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 1991=53.012
- to
- 2025=62.538
- min:
- 52.69
- max:
- 63.05
- avg:
- 54.619
- σ:
- 3.211
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 1991=83.602
- to
- 2025=96.31
- min:
- 78.04
- max:
- 96.315
- avg:
- 84.39
- σ:
- 4.445
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 1991=10.313
- to
- 2025=24.355
- min:
- 10.217
- max:
- 25.328
- avg:
- 13.872
- σ:
- 5.142
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 1991=48.157
- to
- 2025=60.846
- min:
- 47.452
- max:
- 61.255
- avg:
- 49.969
- σ:
- 4.182
[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=40.393
- to
- 2025=47.427
- min:
- 40.128
- max:
- 47.427
- avg:
- 42.788
- σ:
- 2.536
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] | 85.706 | 85.662 | 85.686 | 85.733 | 85.727 | 85.948 | 86.136 | 86.253 | 86.304 | 86.315 | 86.063 | 85.755 | 85.44 | 85.152 | 84.893 | 85.231 | 85.569 | 85.842 | 85.991 | 86.004 | 85.546 | 84.967 | 84.03 | 83.055 | 82.049 | 81.012 | 79.937 | 80.947 | 81.996 | 83.588 | 85.212 | 94.006 | 93.47 | 92.816 | 92.231 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 37.096 | 37.254 | 37.476 | 37.763 | 38.112 | 38.227 | 38.261 | 38.227 | 38.148 | 38.038 | 37.945 | 37.852 | 37.763 | 37.674 | 37.566 | 37.683 | 37.856 | 37.999 | 38.087 | 38.228 | 38.32 | 38.426 | 39.132 | 39.869 | 40.655 | 41.486 | 42.327 | 44.5 | 46.654 | 49.182 | 48.289 | 38.468 | 39.711 | 39.914 | 39.796 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 61.201 | 61.226 | 61.31 | 61.436 | 61.576 | 61.71 | 61.795 | 61.82 | 61.795 | 61.734 | 61.556 | 61.35 | 61.142 | 60.949 | 60.773 | 61.009 | 61.222 | 61.398 | 61.523 | 61.594 | 61.427 | 61.213 | 61.113 | 61.013 | 60.913 | 60.814 | 60.714 | 62.322 | 63.939 | 66.012 | 66.352 | 65.634 | 66.006 | 65.789 | 65.442 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 84.365 | 84.302 | 84.285 | 84.274 | 84.204 | 84.366 | 84.521 | 84.637 | 84.714 | 84.776 | 84.654 | 84.486 | 84.305 | 84.131 | 83.965 | 84.159 | 84.345 | 84.494 | 84.574 | 84.56 | 84.231 | 83.814 | 82.882 | 81.912 | 80.904 | 79.859 | 78.773 | 80.164 | 81.598 | 83.537 | 85.213 | 94.847 | 95.172 | 95.04 | 94.842 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 20.543 | 20.598 | 20.702 | 20.846 | 21.039 | 21.046 | 21.025 | 20.988 | 20.954 | 20.931 | 21.034 | 21.149 | 21.258 | 21.349 | 21.424 | 21.404 | 21.341 | 21.304 | 21.346 | 21.464 | 21.762 | 22.104 | 22.954 | 23.837 | 24.747 | 25.687 | 26.644 | 28.731 | 30.772 | 33.311 | 32.297 | 29.847 | 30.884 | 30.655 | 30.171 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 53.012 | 53.027 | 53.063 | 53.112 | 53.155 | 53.217 | 53.262 | 53.284 | 53.287 | 53.282 | 53.246 | 53.188 | 53.119 | 53.044 | 52.961 | 53.017 | 53.065 | 53.104 | 53.133 | 53.157 | 53.109 | 53.04 | 52.97 | 52.9 | 52.83 | 52.76 | 52.69 | 54.435 | 56.179 | 58.42 | 58.757 | 62.36 | 63.05 | 62.875 | 62.538 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 83.602 | 83.527 | 83.488 | 83.444 | 83.34 | 83.471 | 83.612 | 83.73 | 83.827 | 83.918 | 83.871 | 83.779 | 83.67 | 83.557 | 83.44 | 83.548 | 83.64 | 83.705 | 83.727 | 83.68 | 83.416 | 83.091 | 82.157 | 81.188 | 80.178 | 79.129 | 78.04 | 79.674 | 81.353 | 83.506 | 85.214 | 95.347 | 96.169 | 96.315 | 96.31 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 10.313 | 10.23 | 10.217 | 10.247 | 10.333 | 10.287 | 10.266 | 10.273 | 10.322 | 10.401 | 10.65 | 10.897 | 11.118 | 11.291 | 11.452 | 11.313 | 10.954 | 10.591 | 10.423 | 10.321 | 10.619 | 11.051 | 11.946 | 12.926 | 13.928 | 14.953 | 16.038 | 18.146 | 20.219 | 22.904 | 21.942 | 24.33 | 25.328 | 24.945 | 24.355 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 48.157 | 48.146 | 48.146 | 48.145 | 48.135 | 48.165 | 48.204 | 48.246 | 48.29 | 48.336 | 48.39 | 48.417 | 48.42 | 48.395 | 48.345 | 48.269 | 48.158 | 48.019 | 47.895 | 47.787 | 47.737 | 47.715 | 47.632 | 47.572 | 47.523 | 47.48 | 47.452 | 49.324 | 51.201 | 53.612 | 54.008 | 60.338 | 61.255 | 61.141 | 60.846 |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 40.393 | 40.289 | 40.128 | 40.178 | 40.343 | 40.384 | 40.454 | 40.562 | 40.695 | 40.86 | 40.885 | 41 | 41.085 | 41.213 | 41.347 | 41.314 | 41.313 | 41.309 | 41.263 | 41.257 | 42.688 | 43.08 | 43.476 | 43.876 | 44.281 | 44.688 | 45.099 | 45.514 | 45.933 | 46.664 | 46.449 | 47.322 | 47.405 | 47.407 | 47.427 |
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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=85.706
- to
- 2025=92.231
- min:
- 79.937
- max:
- 94.006
- avg:
- 85.722
- σ:
- 3.141
[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=37.096
- to
- 2025=39.796
- min:
- 37.096
- max:
- 49.182
- avg:
- 39.542
- σ:
- 3.025
[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=61.201
- to
- 2025=65.442
- min:
- 60.714
- max:
- 66.352
- avg:
- 62.195
- σ:
- 1.763
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Female – Annual
- from
- 1991=84.365
- to
- 2025=94.842
- min:
- 78.773
- max:
- 95.172
- avg:
- 84.883
- σ:
- 3.93
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Male – Annual
- from
- 1991=20.543
- to
- 2025=30.171
- min:
- 20.543
- max:
- 33.311
- avg:
- 23.89
- σ:
- 4.066
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15+ – Sex: Total – Annual
- from
- 1991=53.012
- to
- 2025=62.538
- min:
- 52.69
- max:
- 63.05
- avg:
- 54.619
- σ:
- 3.211
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Female – Annual
- from
- 1991=83.602
- to
- 2025=96.31
- min:
- 78.04
- max:
- 96.315
- avg:
- 84.39
- σ:
- 4.445
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Male – Annual
- from
- 1991=10.313
- to
- 2025=24.355
- min:
- 10.217
- max:
- 25.328
- avg:
- 13.872
- σ:
- 5.142
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 25+ – Sex: Total – Annual
- from
- 1991=48.157
- to
- 2025=60.846
- min:
- 47.452
- max:
- 61.255
- avg:
- 49.969
- σ:
- 4.182
[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=40.393
- to
- 2025=47.427
- min:
- 40.128
- max:
- 47.427
- avg:
- 42.788
- σ:
- 2.536
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] | 85.706 | 85.662 | 85.686 | 85.733 | 85.727 | 85.948 | 86.136 | 86.253 | 86.304 | 86.315 | 86.063 | 85.755 | 85.44 | 85.152 | 84.893 | 85.231 | 85.569 | 85.842 | 85.991 | 86.004 | 85.546 | 84.967 | 84.03 | 83.055 | 82.049 | 81.012 | 79.937 | 80.947 | 81.996 | 83.588 | 85.212 | 94.006 | 93.47 | 92.816 | 92.231 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 37.096 | 37.254 | 37.476 | 37.763 | 38.112 | 38.227 | 38.261 | 38.227 | 38.148 | 38.038 | 37.945 | 37.852 | 37.763 | 37.674 | 37.566 | 37.683 | 37.856 | 37.999 | 38.087 | 38.228 | 38.32 | 38.426 | 39.132 | 39.869 | 40.655 | 41.486 | 42.327 | 44.5 | 46.654 | 49.182 | 48.289 | 38.468 | 39.711 | 39.914 | 39.796 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 61.201 | 61.226 | 61.31 | 61.436 | 61.576 | 61.71 | 61.795 | 61.82 | 61.795 | 61.734 | 61.556 | 61.35 | 61.142 | 60.949 | 60.773 | 61.009 | 61.222 | 61.398 | 61.523 | 61.594 | 61.427 | 61.213 | 61.113 | 61.013 | 60.913 | 60.814 | 60.714 | 62.322 | 63.939 | 66.012 | 66.352 | 65.634 | 66.006 | 65.789 | 65.442 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 84.365 | 84.302 | 84.285 | 84.274 | 84.204 | 84.366 | 84.521 | 84.637 | 84.714 | 84.776 | 84.654 | 84.486 | 84.305 | 84.131 | 83.965 | 84.159 | 84.345 | 84.494 | 84.574 | 84.56 | 84.231 | 83.814 | 82.882 | 81.912 | 80.904 | 79.859 | 78.773 | 80.164 | 81.598 | 83.537 | 85.213 | 94.847 | 95.172 | 95.04 | 94.842 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 20.543 | 20.598 | 20.702 | 20.846 | 21.039 | 21.046 | 21.025 | 20.988 | 20.954 | 20.931 | 21.034 | 21.149 | 21.258 | 21.349 | 21.424 | 21.404 | 21.341 | 21.304 | 21.346 | 21.464 | 21.762 | 22.104 | 22.954 | 23.837 | 24.747 | 25.687 | 26.644 | 28.731 | 30.772 | 33.311 | 32.297 | 29.847 | 30.884 | 30.655 | 30.171 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 53.012 | 53.027 | 53.063 | 53.112 | 53.155 | 53.217 | 53.262 | 53.284 | 53.287 | 53.282 | 53.246 | 53.188 | 53.119 | 53.044 | 52.961 | 53.017 | 53.065 | 53.104 | 53.133 | 53.157 | 53.109 | 53.04 | 52.97 | 52.9 | 52.83 | 52.76 | 52.69 | 54.435 | 56.179 | 58.42 | 58.757 | 62.36 | 63.05 | 62.875 | 62.538 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 83.602 | 83.527 | 83.488 | 83.444 | 83.34 | 83.471 | 83.612 | 83.73 | 83.827 | 83.918 | 83.871 | 83.779 | 83.67 | 83.557 | 83.44 | 83.548 | 83.64 | 83.705 | 83.727 | 83.68 | 83.416 | 83.091 | 82.157 | 81.188 | 80.178 | 79.129 | 78.04 | 79.674 | 81.353 | 83.506 | 85.214 | 95.347 | 96.169 | 96.315 | 96.31 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 10.313 | 10.23 | 10.217 | 10.247 | 10.333 | 10.287 | 10.266 | 10.273 | 10.322 | 10.401 | 10.65 | 10.897 | 11.118 | 11.291 | 11.452 | 11.313 | 10.954 | 10.591 | 10.423 | 10.321 | 10.619 | 11.051 | 11.946 | 12.926 | 13.928 | 14.953 | 16.038 | 18.146 | 20.219 | 22.904 | 21.942 | 24.33 | 25.328 | 24.945 | 24.355 |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 48.157 | 48.146 | 48.146 | 48.145 | 48.135 | 48.165 | 48.204 | 48.246 | 48.29 | 48.336 | 48.39 | 48.417 | 48.42 | 48.395 | 48.345 | 48.269 | 48.158 | 48.019 | 47.895 | 47.787 | 47.737 | 47.715 | 47.632 | 47.572 | 47.523 | 47.48 | 47.452 | 49.324 | 51.201 | 53.612 | 54.008 | 60.338 | 61.255 | 61.141 | 60.846 |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 40.393 | 40.289 | 40.128 | 40.178 | 40.343 | 40.384 | 40.454 | 40.562 | 40.695 | 40.86 | 40.885 | 41 | 41.085 | 41.213 | 41.347 | 41.314 | 41.313 | 41.309 | 41.263 | 41.257 | 42.688 | 43.08 | 43.476 | 43.876 | 44.281 | 44.688 | 45.099 | 45.514 | 45.933 | 46.664 | 46.449 | 47.322 | 47.405 | 47.407 | 47.427 |
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