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 | 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_Y15-64.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
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- [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
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- [XA_2120] ILO - Modelled Estimates
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- [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
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- [XA_2165] ILO - Modelled Estimates
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- [XA_2170] ILO - Modelled Estimates
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- [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
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- [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