[EMP_2EMP_SEX_AGE_CLA_NB] Employment by sex, age and economic class -- ILO modelled estimates, Nov. 2023 (thousands)
Updated on DBnomics on December 18, 2023 (4:52 AM).
[ref_area] Reference area
- [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
[source] Source
- [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
[classif1] Classification 1
- [AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
- [AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
- [AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[classif2] Classification 2
- [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] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [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:
- from
- 1991=128.041
- to
- 2019=578.092
- min:
- 128.041
- max:
- 597.626
- avg:
- 318.15
- σ:
- 144.248
- from
- 1991=601.564
- to
- 2019=1,919.083
- min:
- 601.564
- max:
- 1,944.63
- avg:
- 1,344.091
- σ:
- 429.099
- from
- 1991=729.605
- to
- 2019=2,497.175
- min:
- 729.605
- max:
- 2,509.96
- avg:
- 1,662.241
- σ:
- 568.065
- from
- 1991=51.027
- to
- 2019=217.922
- min:
- 51.027
- max:
- 255.113
- avg:
- 133.221
- σ:
- 60.613
- from
- 1991=229.8
- to
- 2019=624.715
- min:
- 229.8
- max:
- 781.155
- avg:
- 530.345
- σ:
- 164.504
- from
- 1991=280.827
- to
- 2019=842.637
- min:
- 280.827
- max:
- 1,012.548
- avg:
- 663.566
- σ:
- 221.49
- from
- 1991=16.089
- to
- 2019=272.781
- min:
- 16.089
- max:
- 272.781
- avg:
- 90.916
- σ:
- 77.249
- from
- 1991=100.32
- to
- 2019=1,086.763
- min:
- 100.32
- max:
- 1,086.763
- avg:
- 456.422
- σ:
- 301.558
- from
- 1991=116.408
- to
- 2019=1,359.543
- min:
- 116.408
- max:
- 1,359.543
- avg:
- 547.338
- σ:
- 377.71
- 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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