Labour force by sex and age -- ILO modelled estimates, Nov. 2023 (thousands) [EAP_2EAP_SEX_AGE_NB]

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

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

Dataset has 7,398 series. Add search filters to narrow them.

Series code 19911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025
AFG.XA_2198.AGE_YTHADULT_Y15-64.SEX_T.A 2586.687 2891.299 3342.994 3669.527 3875.302 4010.195 4142.887 4281.407 4436.872 4483.217 4506.901 4805.935 5188.753 5410.857 5654.092 5931.168 5974.661 6064.673 6352.1 6580.011 6930.871 7349.881 7708.468 8110.346 8455.43 8739.578 9080.226 9067.962 9045.118 8929.753 9172.15 8625.981
AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A 447.484 502.744 582.395 640.239 679.576 696.676 712.912 731.352 753.816 758.068 766.919 824.95 898.761 944.953 994.536 1030.823 1027.195 1033.334 1076.375 1115.62 1197.377 1299.512 1436.861 1592.301 1747.268 1899.417 2074.688 2010.875 1935.433 1802.31 1677.427 602.923 583.174 618.083 663.194
AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A 2196.004 2452.535 2835.408 3112.328 3284.113 3406.382 3527.171 3651.447 3788.875 3832.685 3848.07 4095.936 4413.476 4593.616 4790.979 5038.014 5088.649 5176.932 5428.236 5622.979 5898.252 6221.352 6444.703 6693.056 6883.45 7014.517 7179.906 7231.89 7284.961 7303.423 7679.236 8200.95 8337.405 8626.076 8960.422
AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A 2643.488 2955.279 3417.804 3752.566 3963.689 4103.058 4240.083 4382.799 4542.692 4590.753 4614.989 4920.886 5312.237 5538.57 5785.515 6068.837 6115.844 6210.266 6504.61 6738.599 7095.629 7520.865 7881.564 8285.357 8630.718 8913.934 9254.594 9242.765 9220.395 9105.734 9356.663 8803.873 8920.579 9244.159 9623.616
AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A 299.05 336.071 389.911 429.683 457.29 470.475 482.834 496.213 511.808 514.417 517.983 553.995 599.934 627.014 656.099 682.011 681.263 684.842 710.712 732.63 777.417 834.46 918.01 1013.832 1110.23 1205.589 1316.887 1267.772 1211.428 1120.635 1046.085 341.131 291.852 291.747 303.717
AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A 1531.961 1708.965 1975.484 2169.655 2292.091 2380.06 2467.433 2557.243 2656.101 2688.285 2697.615 2868.173 3085.903 3205.811 3337.298 3509.547 3536.402 3582.642 3741.086 3857.027 4027.668 4235.707 4383.04 4553.035 4686.08 4780.085 4902.582 4969.888 5044.054 5099.282 5374.024 5394.212 5528.17 5774.823 6050.387
AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A 1831.011 2045.036 2365.395 2599.337 2749.381 2850.535 2950.267 3053.457 3167.909 3202.703 3215.598 3422.168 3685.836 3832.826 3993.398 4191.558 4217.665 4267.483 4451.799 4589.657 4805.085 5070.167 5301.05 5566.867 5796.31 5985.674 6219.469 6237.661 6255.482 6219.917 6420.109 5735.343 5820.023 6066.57 6354.105
AGO.XA_2010.AGE_AGGREGATE_TOTAL.SEX_F.A 2524.697 2606.775 2692.523 2783.874 2880.042 2979.15 3084.053 3193.909 3308.525 3428.452 3552.792 3683.267 3819.487 3962.466 4110.866 4262.77 4421.071 4584.567 4753.87 4931.884 5067.416 5242.947 5422.738 5605.91 5792.764 5987.568 6190.427 6396.985 6608.893 6847.719 7243.336 7306.619
AGO.XA_2010.AGE_AGGREGATE_TOTAL.SEX_M.A 2521.108 2596.722 2669.726 2744.958 2832.027 2933.139 3038.348 3144.437 3249.68 3359.027 3478.673 3602.782 3735.062 3875.639 4022.09 4179.142 4341.602 4509.114 4681.856 4861.813 5108.599 5284.354 5463.603 5645.697 5830.739 6023.843 6225.236 6428.976 6637.224 6880.782 7202.261 7439.751
AGO.XA_2010.AGE_AGGREGATE_TOTAL.SEX_T.A 5045.805 5203.496 5362.249 5528.832 5712.07 5912.289 6122.401 6338.346 6558.205 6787.479 7031.465 7286.049 7554.549 7838.105 8132.955 8441.912 8762.672 9093.681 9435.726 9793.697 10176.016 10527.301 10886.34 11251.607 11623.503 12011.411 12415.663 12825.961 13246.117 13728.501 14445.597 14746.37
Dimension codes and labels
[ref_area] Reference area
  • [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
[source] Source
  • [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
[classif1] Classification 1
  • [AGE_AGGREGATE_TOTAL] Age (Aggregate bands): Total
  • [AGE_AGGREGATE_Y15-24] Age (Aggregate bands): 15-24
  • [AGE_AGGREGATE_Y25-54] Age (Aggregate bands): 25-54
  • [AGE_AGGREGATE_Y55-64] Age (Aggregate bands): 55-64
  • [AGE_AGGREGATE_YGE65] Age (Aggregate bands): 65+
  • [AGE_YTHADULT_Y15-24] Age (Youth, adults): 15-24
  • [AGE_YTHADULT_Y15-64] Age (Youth, adults): 15-64
  • [AGE_YTHADULT_YGE15] Age (Youth, adults): 15+
  • [AGE_YTHADULT_YGE25] Age (Youth, adults): 25+
[sex] Sex
  • [SEX_F] Sex: Female
  • [SEX_M] Sex: Male
  • [SEX_T] Sex: Total
[frequency] Frequency
  • [A] Annual
Technical links