[LUU_2LU3_SEX_AGE_RT] Combined rate of unemployment and potential labour force (LU3) by sex and age -- ILO modelled estimates, Nov. 2022 (%)
Updated on DBnomics on September 5, 2023 (5:48 AM).
[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
- [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_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
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- [XA_1920] ILO - Modelled Estimates
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- [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
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- [XA_2018] ILO - Modelled Estimates
- [XA_2024] ILO - Modelled Estimates
- [XA_2028] ILO - Modelled Estimates
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- [XA_2034] ILO - Modelled Estimates
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- [XA_2048] ILO - Modelled Estimates
- [XA_2054] ILO - Modelled Estimates
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- [XA_2068] ILO - Modelled Estimates
- [XA_2070] ILO - Modelled Estimates
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- [XA_2203] ILO - Modelled Estimates
- [XA_2206] ILO - Modelled Estimates
- [XA_2232] ILO - Modelled Estimates
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- [XA_8368] ILO - Modelled Estimates
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[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+
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (271)
Source [source] (271)
Classification 1 [classif1] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 2,439 series:
- from
- 2005=34.729
- to
- 2020=56.396
- min:
- 31.705
- max:
- 56.396
- avg:
- 37.755
- σ:
- 6.279
- from
- 2005=15.916
- to
- 2020=25.996
- min:
- 14.062
- max:
- 25.996
- avg:
- 17.519
- σ:
- 3.594
- from
- 2005=20.103
- to
- 2020=35.901
- min:
- 18.386
- max:
- 35.901
- avg:
- 22.671
- σ:
- 5.134
- from
- 2005=30.895
- to
- 2020=49.712
- min:
- 28.485
- max:
- 49.712
- avg:
- 32.651
- σ:
- 4.772
- from
- 2005=11.252
- to
- 2020=17.844
- min:
- 10.36
- max:
- 17.844
- avg:
- 12.122
- σ:
- 2.059
- from
- 2005=15.285
- to
- 2020=26.53
- min:
- 14.42
- max:
- 26.53
- avg:
- 16.816
- σ:
- 3.216
- from
- 2005=28.881
- to
- 2020=45.011
- min:
- 26.614
- max:
- 45.011
- avg:
- 29.604
- σ:
- 4.046
- from
- 2005=9.149
- to
- 2020=14.007
- min:
- 8.56
- max:
- 14.007
- avg:
- 9.558
- σ:
- 1.365
- from
- 2005=13.042
- to
- 2020=21.586
- min:
- 12.414
- max:
- 21.586
- avg:
- 13.871
- σ:
- 2.231
- from
- 2005=27.833
- to
- 2022=38.908
- min:
- 27.238
- max:
- 42.121
- avg:
- 35.314
- σ:
- 5.018
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_F.A] | 34.729 | 34.73 | 34.822 | 34.719 | 34.69 | 34.486 | 33.883 | 33.42 | 32.533 | 31.705 | 35.73 | 39.961 | 44.359 | 44.06 | 43.85 | 56.396 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_M.A] | 15.916 | 15.748 | 15.68 | 15.468 | 15.354 | 15.167 | 14.809 | 14.616 | 14.316 | 14.062 | 16.731 | 19.522 | 22.376 | 22.29 | 22.25 | 25.996 | - | - |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.SEX_T.A] | 20.103 | 19.914 | 19.81 | 19.562 | 19.441 | 19.249 | 18.935 | 18.802 | 18.573 | 18.386 | 21.725 | 25.289 | 29.05 | 28.994 | 28.998 | 35.901 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_F.A] | 30.895 | 30.928 | 31.08 | 31.062 | 31.131 | 31.043 | 30.579 | 30.256 | 29.339 | 28.485 | 30.566 | 32.793 | 35.149 | 34.83 | 34.573 | 49.712 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_M.A] | 11.252 | 11.124 | 11.091 | 10.918 | 10.891 | 10.796 | 10.592 | 10.586 | 10.449 | 10.36 | 11.701 | 13.106 | 14.535 | 14.403 | 14.308 | 17.844 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE15.SEX_T.A] | 15.285 | 15.149 | 15.118 | 14.946 | 14.92 | 14.827 | 14.629 | 14.633 | 14.506 | 14.42 | 16.182 | 18.067 | 20.05 | 19.933 | 19.861 | 26.53 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_F.A] | 28.881 | 28.946 | 29.143 | 29.165 | 29.265 | 29.21 | 28.766 | 28.468 | 27.505 | 26.614 | 27.477 | 28.367 | 29.249 | 28.928 | 28.668 | 45.011 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_M.A] | 9.149 | 9.038 | 9.002 | 8.816 | 8.8 | 8.717 | 8.56 | 8.631 | 8.569 | 8.563 | 9.258 | 9.986 | 10.722 | 10.598 | 10.517 | 14.007 | - | - |
[AFG.XA_2198.AGE_YTHADULT_YGE25.SEX_T.A] | 13.042 | 12.935 | 12.925 | 12.762 | 12.753 | 12.674 | 12.499 | 12.546 | 12.454 | 12.414 | 13.35 | 14.331 | 15.329 | 15.205 | 15.131 | 21.586 | - | - |
[AGO.XA_2010.AGE_YTHADULT_Y15-24.SEX_F.A] | 27.833 | 27.656 | 27.477 | 27.344 | 27.238 | 42.121 | 38.022 | 37.574 | 37.336 | 37.12 | 37.214 | 37.293 | 37.322 | 37.413 | 37.472 | 41.116 | 39.197 | 38.908 |
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