Employment by sex, age and economic class -- ILO modelled estimates, Nov. 2023 (thousands) [EMP_2EMP_SEX_AGE_CLA_NB]

Updated on DBnomics on December 18, 2023 (4:52 AM)

Reference area [ref_area]
Source [source]
Classification 1 [classif1]
Classification 2 [classif2]
Sex [sex]
Frequency [frequency]

Dataset has 10,296 series. Add search filters to narrow them.

Series code 19911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019
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
Dimension codes and labels
[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
Technical links