[EMP_2EMP_SEX_AGE_CLA_NB] Employment by sex, age and economic class -- 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
[AZE] Azerbaijan
[BDI] Burundi
[BEN] Benin
[BFA] Burkina Faso
[BGD] Bangladesh
[BHR] Bahrain
[BHS] Bahamas
[BIH] Bosnia and Herzegovina
[BLR] Belarus
[BLZ] Belize
[BOL] Bolivia
[BRA] Brazil
[BRB] Barbados
[BTN] Bhutan
[BWA] Botswana
[CAF] Central African Republic
[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
[DOM] Dominican Republic
[DZA] Algeria
[ECU] Ecuador
[EGY] Egypt
[ERI] Eritrea
[ETH] Ethiopia
[FJI] Fiji
[GAB] Gabon
[GEO] Georgia
[GHA] Ghana
[GIN] Guinea
[GMB] Gambia
[GNB] Guinea-Bissau
[GNQ] Equatorial Guinea
[GTM] Guatemala
[GUY] Guyana
[HKG] Hong Kong, China
[HND] Honduras
[HTI] Haiti
[IDN] Indonesia
[IND] India
[IRN] Iran, Islamic Republic of
[IRQ] Iraq
[JAM] Jamaica
[JOR] Jordan
[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
[LKA] Sri Lanka
[LSO] Lesotho
[MAR] Morocco
[MDA] Moldova, Republic of
[MDG] Madagascar
[MDV] Maldives
[MEX] Mexico
[MKD] North Macedonia
[MLI] Mali
[MMR] Myanmar
[MNE] Montenegro
[MNG] Mongolia
[MOZ] Mozambique
[MRT] Mauritania
[MUS] Mauritius
[MWI] Malawi
[MYS] Malaysia
[NAM] Namibia
[NER] Niger
[NGA] Nigeria
[NIC] Nicaragua
[NPL] Nepal
[OMN] Oman
[PAK] Pakistan
[PAN] Panama
[PER] Peru
[PHL] Philippines
[PNG] Papua New Guinea
[PRI] Puerto Rico
[PRY] Paraguay
[PSE] Occupied Palestinian Territory
[QAT] Qatar
[RUS] Russian Federation
[RWA] Rwanda
[SAU] Saudi Arabia
[SDN] Sudan
[SEN] Senegal
[SLB] Solomon Islands
[SLE] Sierra Leone
[SLV] El Salvador
[SOM] Somalia
[SRB] Serbia
[SUR] Suriname
[SWZ] Eswatini
[SYR] Syrian Arab Republic
[TCD] Chad
[TGO] Togo
[THA] Thailand
[TJK] Tajikistan
[TKM] Turkmenistan
[TLS] Timor-Leste
[TTO] Trinidad and Tobago
[TUN] Tunisia
[TUR] Türkiye
[TWN] Taiwan, China
[TZA] Tanzania, United Republic of
[UGA] Uganda
[UKR] Ukraine
[URY] Uruguay
[UZB] Uzbekistan
[VEN] Venezuela, Bolivarian Republic of
[VNM] Viet Nam
[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
[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
[X64] Northern, Southern and Western Europe
[X65] Northern, Southern and Western Europe: Upper-middle income
[X68] Southern Europe
[X70] Eastern Europe
[X72] Eastern Europe: Upper-middle income
[X74] Central Asia
[X75] Central and Western Asia: Lower-middle income
[X76] Central and Western Asia: Upper-middle income
[X78] Central and Western Asia
[X79] Western Asia
[X83] G20
[X84] ASEAN
[X85] BRICS
[X87] World excluding BRICS
[X89] MENA
[X90] Arab League
[X91] CARICOM
[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_12989] ILO - Modelled Estimates
[XA_12990] ILO - Modelled Estimates
[XA_13329] ILO - Modelled Estimates
[XA_14066] ILO - Modelled Estimates
[XA_15672] ILO - Modelled Estimates
[XA_15716] 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_1837] ILO - Modelled Estimates
[XA_1839] ILO - Modelled Estimates
[XA_1848] ILO - Modelled Estimates
[XA_1849] ILO - Modelled Estimates
[XA_1850] ILO - Modelled Estimates
[XA_1852] ILO - Modelled Estimates
[XA_1858] ILO - Modelled Estimates
[XA_1866] ILO - Modelled Estimates
[XA_1868] ILO - Modelled Estimates
[XA_1869] ILO - Modelled Estimates
[XA_1872] ILO - Modelled Estimates
[XA_1875] ILO - Modelled Estimates
[XA_1877] ILO - Modelled Estimates
[XA_1881] ILO - Modelled Estimates
[XA_1883] 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_1928] ILO - Modelled Estimates
[XA_1931] ILO - Modelled Estimates
[XA_1934] 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_1943] ILO - Modelled Estimates
[XA_1944] ILO - Modelled Estimates
[XA_1947] ILO - Modelled Estimates
[XA_1949] ILO - Modelled Estimates
[XA_1950] ILO - Modelled Estimates
[XA_1956] ILO - Modelled Estimates
[XA_1964] ILO - Modelled Estimates
[XA_1976] ILO - Modelled Estimates
[XA_1978] ILO - Modelled Estimates
[XA_1980] ILO - Modelled Estimates
[XA_1987] 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_2016] ILO - Modelled Estimates
[XA_2017] ILO - Modelled Estimates
[XA_2018] 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_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_2092] ILO - Modelled Estimates
[XA_2093] ILO - Modelled Estimates
[XA_2097] ILO - Modelled Estimates
[XA_2098] ILO - Modelled Estimates
[XA_2100] ILO - Modelled Estimates
[XA_2101] ILO - Modelled Estimates
[XA_2104] 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_2116] ILO - Modelled Estimates
[XA_2117] ILO - Modelled Estimates
[XA_2118] 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_2133] ILO - Modelled Estimates
[XA_2134] ILO - Modelled Estimates
[XA_2137] 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_2150] ILO - Modelled Estimates
[XA_2152] ILO - Modelled Estimates
[XA_2153] ILO - Modelled Estimates
[XA_2156] ILO - Modelled Estimates
[XA_2160] ILO - Modelled Estimates
[XA_2162] ILO - Modelled Estimates
[XA_2164] ILO - Modelled Estimates
[XA_2166] ILO - Modelled Estimates
[XA_2168] ILO - Modelled Estimates
[XA_2170] ILO - Modelled Estimates
[XA_2172] ILO - Modelled Estimates
[XA_2176] ILO - Modelled Estimates
[XA_2180] ILO - Modelled Estimates
[XA_2184] 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_2234] ILO - Modelled Estimates
[XA_8368] 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_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_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_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_8443] ILO - Modelled Estimates
[XA_8446] ILO - Modelled Estimates
[XA_8448] ILO - Modelled Estimates
[XA_8449] 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+
[CLA_ECOCLA_TOTAL] Economic class: Total
[CLA_ECOCLA_USDGE2LT3] Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP
[CLA_ECOCLA_USDGE3] Economic class: >= USD 3.65 PPP
[CLA_ECOCLA_USDGE3LT5] Economic class: Near poor >= USD 3.65 and < USD 6.85 PPP
[CLA_ECOCLA_USDGE5] Economic class: >= USD 6.85 PPP
[CLA_ECOCLA_USDLT2] Economic class: Extremely poor < USD 2.15 PPP
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (207)
Source [source] (207)
Classification 1 [classif1] (3)
Classification 2 [classif2] (6)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 10,296 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Female – Annual
- from
- 1991=128.041
- to
- 2019=578.092
- min:
- 128.041
- max:
- 597.626
- avg:
- 318.15
- σ:
- 144.248
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Male – Annual
- from
- 1991=601.564
- to
- 2019=1,919.083
- min:
- 601.564
- max:
- 1,944.63
- avg:
- 1,344.091
- σ:
- 429.099
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Total – Annual
- from
- 1991=729.605
- to
- 2019=2,497.175
- min:
- 729.605
- max:
- 2,509.96
- avg:
- 1,662.241
- σ:
- 568.065
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Female – Annual
- from
- 1991=51.027
- to
- 2019=217.922
- min:
- 51.027
- max:
- 255.113
- avg:
- 133.221
- σ:
- 60.613
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Male – Annual
- from
- 1991=229.8
- to
- 2019=624.715
- min:
- 229.8
- max:
- 781.155
- avg:
- 530.345
- σ:
- 164.504
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Total – Annual
- from
- 1991=280.827
- to
- 2019=842.637
- min:
- 280.827
- max:
- 1,012.548
- avg:
- 663.566
- σ:
- 221.49
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Female – Annual
- from
- 1991=16.089
- to
- 2019=272.781
- min:
- 16.089
- max:
- 272.781
- avg:
- 90.916
- σ:
- 77.249
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Male – Annual
- from
- 1991=100.32
- to
- 2019=1,086.763
- min:
- 100.32
- max:
- 1,086.763
- avg:
- 456.422
- σ:
- 301.558
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Total – Annual
- from
- 1991=116.408
- to
- 2019=1,359.543
- min:
- 116.408
- max:
- 1,359.543
- avg:
- 547.338
- σ:
- 377.71
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3LT5.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Near poor >= USD 3.65 and < USD 6.85 PPP – Sex: Female – Annual
- from
- 1991=13.853
- to
- 2019=194.743
- min:
- 13.853
- max:
- 194.743
- avg:
- 69.818
- σ:
- 55.283
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_F.A] | 128.041 | 143.782 | 166.023 | 181.584 | 191.694 | 195.023 | 198.312 | 202.618 | 208.508 | 209.919 | 214.554 | 233.662 | 257.842 | 274.468 | 292.291 | 301.155 | 298.575 | 300.728 | 315.601 | 330.656 | 362.898 | 402.252 | 449.212 | 501.301 | 535.276 | 564.987 | 597.626 | 589.657 | 578.092 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_M.A] | 601.564 | 673.659 | 779.037 | 853.972 | 898.711 | 929.725 | 959.889 | 990.95 | 1025.779 | 1036.261 | 1041.855 | 1112.101 | 1202.766 | 1257.57 | 1317.467 | 1385.076 | 1406.531 | 1444.574 | 1528.882 | 1600.532 | 1695.961 | 1800.969 | 1870.871 | 1943.002 | 1944.63 | 1926.711 | 1912.334 | 1918.191 | 1919.083 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_T.A] | 729.605 | 817.441 | 945.06 | 1035.556 | 1090.405 | 1124.748 | 1158.202 | 1193.567 | 1234.287 | 1246.18 | 1256.409 | 1345.763 | 1460.609 | 1532.039 | 1609.757 | 1686.231 | 1705.105 | 1745.302 | 1844.483 | 1931.188 | 2058.86 | 2203.221 | 2320.082 | 2444.303 | 2479.906 | 2491.698 | 2509.96 | 2507.848 | 2497.175 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_F.A] | 51.027 | 58.114 | 67.405 | 74.397 | 79.305 | 81.226 | 82.459 | 83.943 | 86.494 | 86.969 | 89.291 | 97.219 | 107.53 | 114.877 | 122.928 | 127.257 | 126.834 | 128.442 | 134.737 | 141.915 | 155.895 | 171.927 | 192.455 | 216.373 | 232.288 | 243.138 | 255.113 | 235.92 | 217.922 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_M.A] | 229.8 | 261.604 | 304.017 | 336.837 | 358.36 | 373.55 | 384.854 | 395.525 | 409.99 | 413.677 | 418.113 | 446.174 | 483.629 | 507.278 | 533.786 | 563.561 | 574.509 | 592.633 | 625.656 | 655.442 | 688.342 | 722.787 | 749.48 | 781.155 | 780.26 | 759.453 | 733.213 | 671.601 | 624.715 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_T.A] | 280.827 | 319.718 | 371.422 | 411.234 | 437.665 | 454.777 | 467.313 | 479.469 | 496.483 | 500.646 | 507.405 | 543.392 | 591.159 | 622.155 | 656.714 | 690.818 | 701.342 | 721.075 | 760.392 | 797.358 | 844.238 | 894.714 | 941.935 | 997.528 | 1012.548 | 1002.591 | 988.325 | 907.521 | 842.637 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_F.A] | 16.089 | 19.174 | 22.934 | 25.643 | 28.894 | 30.834 | 31.794 | 33.125 | 34.998 | 34.869 | 36.429 | 40.017 | 46.245 | 52.652 | 59.655 | 64.505 | 68.234 | 71.9 | 79.044 | 91.536 | 115.237 | 135.051 | 153.227 | 173.187 | 189.509 | 206.393 | 237.401 | 265.2 | 272.781 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_M.A] | 100.32 | 119.016 | 142.422 | 159.548 | 178.792 | 193.28 | 201.96 | 212.138 | 224.922 | 224.904 | 231.047 | 248.945 | 281.427 | 313.511 | 347.982 | 381.732 | 410.502 | 438.525 | 483.503 | 552.75 | 660.636 | 737.877 | 781.695 | 825.357 | 849.973 | 871.833 | 934.412 | 1040.464 | 1086.763 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_T.A] | 116.408 | 138.19 | 165.356 | 185.191 | 207.686 | 224.114 | 233.754 | 245.263 | 259.921 | 259.773 | 267.476 | 288.962 | 327.672 | 366.163 | 407.637 | 446.237 | 478.737 | 510.425 | 562.547 | 644.287 | 775.873 | 872.929 | 934.922 | 998.545 | 1039.482 | 1078.226 | 1171.813 | 1305.664 | 1359.543 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3LT5.SEX_F.A] | 13.853 | 16.536 | 19.798 | 21.979 | 24.626 | 26.203 | 26.866 | 27.735 | 29.127 | 28.992 | 30.267 | 33.091 | 37.835 | 42.736 | 48.129 | 51.782 | 54.475 | 57.258 | 62.715 | 72.304 | 89.717 | 104 | 116.852 | 131.063 | 142.727 | 155.255 | 173.627 | 190.422 | 194.743 |
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Reference area [ref_area] (207)
Source [source] (207)
Classification 1 [classif1] (3)
Classification 2 [classif2] (6)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 10,296 series:
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Female – Annual
- from
- 1991=128.041
- to
- 2019=578.092
- min:
- 128.041
- max:
- 597.626
- avg:
- 318.15
- σ:
- 144.248
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Male – Annual
- from
- 1991=601.564
- to
- 2019=1,919.083
- min:
- 601.564
- max:
- 1,944.63
- avg:
- 1,344.091
- σ:
- 429.099
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Total – Sex: Total – Annual
- from
- 1991=729.605
- to
- 2019=2,497.175
- min:
- 729.605
- max:
- 2,509.96
- avg:
- 1,662.241
- σ:
- 568.065
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Female – Annual
- from
- 1991=51.027
- to
- 2019=217.922
- min:
- 51.027
- max:
- 255.113
- avg:
- 133.221
- σ:
- 60.613
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Male – Annual
- from
- 1991=229.8
- to
- 2019=624.715
- min:
- 229.8
- max:
- 781.155
- avg:
- 530.345
- σ:
- 164.504
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Moderately poor >= USD 2.15 and < USD 3.65 PPP – Sex: Total – Annual
- from
- 1991=280.827
- to
- 2019=842.637
- min:
- 280.827
- max:
- 1,012.548
- avg:
- 663.566
- σ:
- 221.49
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Female – Annual
- from
- 1991=16.089
- to
- 2019=272.781
- min:
- 16.089
- max:
- 272.781
- avg:
- 90.916
- σ:
- 77.249
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_M.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Male – Annual
- from
- 1991=100.32
- to
- 2019=1,086.763
- min:
- 100.32
- max:
- 1,086.763
- avg:
- 456.422
- σ:
- 301.558
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_T.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: >= USD 3.65 PPP – Sex: Total – Annual
- from
- 1991=116.408
- to
- 2019=1,359.543
- min:
- 116.408
- max:
- 1,359.543
- avg:
- 547.338
- σ:
- 377.71
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3LT5.SEX_F.A] Afghanistan – ILO - Modelled Estimates (XA_2198) – Age (Youth, adults): 15-24 – Economic class: Near poor >= USD 3.65 and < USD 6.85 PPP – Sex: Female – Annual
- from
- 1991=13.853
- to
- 2019=194.743
- min:
- 13.853
- max:
- 194.743
- avg:
- 69.818
- σ:
- 55.283
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_F.A] | 128.041 | 143.782 | 166.023 | 181.584 | 191.694 | 195.023 | 198.312 | 202.618 | 208.508 | 209.919 | 214.554 | 233.662 | 257.842 | 274.468 | 292.291 | 301.155 | 298.575 | 300.728 | 315.601 | 330.656 | 362.898 | 402.252 | 449.212 | 501.301 | 535.276 | 564.987 | 597.626 | 589.657 | 578.092 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_M.A] | 601.564 | 673.659 | 779.037 | 853.972 | 898.711 | 929.725 | 959.889 | 990.95 | 1025.779 | 1036.261 | 1041.855 | 1112.101 | 1202.766 | 1257.57 | 1317.467 | 1385.076 | 1406.531 | 1444.574 | 1528.882 | 1600.532 | 1695.961 | 1800.969 | 1870.871 | 1943.002 | 1944.63 | 1926.711 | 1912.334 | 1918.191 | 1919.083 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_TOTAL.SEX_T.A] | 729.605 | 817.441 | 945.06 | 1035.556 | 1090.405 | 1124.748 | 1158.202 | 1193.567 | 1234.287 | 1246.18 | 1256.409 | 1345.763 | 1460.609 | 1532.039 | 1609.757 | 1686.231 | 1705.105 | 1745.302 | 1844.483 | 1931.188 | 2058.86 | 2203.221 | 2320.082 | 2444.303 | 2479.906 | 2491.698 | 2509.96 | 2507.848 | 2497.175 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_F.A] | 51.027 | 58.114 | 67.405 | 74.397 | 79.305 | 81.226 | 82.459 | 83.943 | 86.494 | 86.969 | 89.291 | 97.219 | 107.53 | 114.877 | 122.928 | 127.257 | 126.834 | 128.442 | 134.737 | 141.915 | 155.895 | 171.927 | 192.455 | 216.373 | 232.288 | 243.138 | 255.113 | 235.92 | 217.922 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_M.A] | 229.8 | 261.604 | 304.017 | 336.837 | 358.36 | 373.55 | 384.854 | 395.525 | 409.99 | 413.677 | 418.113 | 446.174 | 483.629 | 507.278 | 533.786 | 563.561 | 574.509 | 592.633 | 625.656 | 655.442 | 688.342 | 722.787 | 749.48 | 781.155 | 780.26 | 759.453 | 733.213 | 671.601 | 624.715 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE2LT3.SEX_T.A] | 280.827 | 319.718 | 371.422 | 411.234 | 437.665 | 454.777 | 467.313 | 479.469 | 496.483 | 500.646 | 507.405 | 543.392 | 591.159 | 622.155 | 656.714 | 690.818 | 701.342 | 721.075 | 760.392 | 797.358 | 844.238 | 894.714 | 941.935 | 997.528 | 1012.548 | 1002.591 | 988.325 | 907.521 | 842.637 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_F.A] | 16.089 | 19.174 | 22.934 | 25.643 | 28.894 | 30.834 | 31.794 | 33.125 | 34.998 | 34.869 | 36.429 | 40.017 | 46.245 | 52.652 | 59.655 | 64.505 | 68.234 | 71.9 | 79.044 | 91.536 | 115.237 | 135.051 | 153.227 | 173.187 | 189.509 | 206.393 | 237.401 | 265.2 | 272.781 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_M.A] | 100.32 | 119.016 | 142.422 | 159.548 | 178.792 | 193.28 | 201.96 | 212.138 | 224.922 | 224.904 | 231.047 | 248.945 | 281.427 | 313.511 | 347.982 | 381.732 | 410.502 | 438.525 | 483.503 | 552.75 | 660.636 | 737.877 | 781.695 | 825.357 | 849.973 | 871.833 | 934.412 | 1040.464 | 1086.763 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3.SEX_T.A] | 116.408 | 138.19 | 165.356 | 185.191 | 207.686 | 224.114 | 233.754 | 245.263 | 259.921 | 259.773 | 267.476 | 288.962 | 327.672 | 366.163 | 407.637 | 446.237 | 478.737 | 510.425 | 562.547 | 644.287 | 775.873 | 872.929 | 934.922 | 998.545 | 1039.482 | 1078.226 | 1171.813 | 1305.664 | 1359.543 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.CLA_ECOCLA_USDGE3LT5.SEX_F.A] | 13.853 | 16.536 | 19.798 | 21.979 | 24.626 | 26.203 | 26.866 | 27.735 | 29.127 | 28.992 | 30.267 | 33.091 | 37.835 | 42.736 | 48.129 | 51.782 | 54.475 | 57.258 | 62.715 | 72.304 | 89.717 | 104 | 116.852 | 131.063 | 142.727 | 155.255 | 173.627 | 190.422 | 194.743 |
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