[LUU_2LU2_SEX_AGE_GEO_RT] Combined rate of time-related underemployment and unemployment (LU2) by sex, age and rural / urban areas -- ILO modelled estimates, Nov. 2020 (%)
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
- [X12] Northern Africa: Upper-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
- [X22] Americas: Low income
- [X23] Americas: Lower-middle income
- [X24] Americas: Upper-middle income
- [X25] Americas: High income
- [X26] Latin America and the Caribbean
- [X27] Latin America and the Caribbean: Low income
- [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
- [X46] Eastern Asia: Low income
- [X47] Eastern Asia: Upper-middle income
- [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
- [X57] Southern Asia: Low income
- [X58] Southern Asia: Lower-middle income
- [X59] Southern Asia: Upper-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
- [X71] Eastern Europe: Lower-middle income
- [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
- [X81] Sub-Saharan Africa: High income
- [X82] European Union 28
- [X83] G20
- [X84] ASEAN
- [X85] BRICS
- [X86] Eastern Asia: Lower-middle income
- [X87] World excluding BRICS
- [X88] G7
- [X89] MENA
- [X90] Arab League
- [X91] CARICOM
- [X92] European Union 27
- [X93] Africa: High income
- [X94] Arab States: Low income
- [X95] Europe and Central Asia: Low income
- [X96] Central and Western Asia: Low income
- [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_13328] 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_15725] ILO - Modelled Estimates
- [XA_15726] ILO - Modelled Estimates
- [XA_15736] ILO - Modelled Estimates
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- [XA_15738] 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
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- [XA_1854] ILO - Modelled Estimates
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- [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
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- [XA_1874] 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_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
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- [XA_2152] ILO - Modelled Estimates
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- [XA_2156] ILO - Modelled Estimates
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- [XA_2165] ILO - Modelled Estimates
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- [XA_2190] ILO - Modelled Estimates
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- [XA_2206] ILO - Modelled Estimates
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- [XA_8392] ILO - Modelled Estimates
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- [XA_8398] ILO - Modelled Estimates
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- [XA_8402] ILO - Modelled Estimates
- [XA_8403] ILO - Modelled Estimates
- [XA_8404] ILO - Modelled Estimates
- [XA_8405] ILO - Modelled Estimates
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- [XA_8407] ILO - Modelled Estimates
- [XA_8408] ILO - Modelled Estimates
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- [XA_8427] 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+
[classif2] Classification 2
- [GEO_COV_NAT] Area type: National
- [GEO_COV_RUR] Area type: Rural
- [GEO_COV_URB] Area type: Urban
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (283)
Source [source] (283)
Classification 1 [classif1] (3)
Classification 2 [classif2] (3)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 7,641 series:
- from
- 2005=45.689
- to
- 2019=44.459
- min:
- 44.459
- max:
- 46.571
- avg:
- 45.668
- σ:
- 0.614
- from
- 2005=36.487
- to
- 2019=35.065
- min:
- 35.065
- max:
- 36.781
- avg:
- 36.083
- σ:
- 0.529
- from
- 2005=38.127
- to
- 2019=37.404
- min:
- 37.404
- max:
- 38.44
- avg:
- 37.982
- σ:
- 0.305
- from
- 2005=37.522
- to
- 2019=37.834
- min:
- 37.368
- max:
- 39.066
- avg:
- 38.35
- σ:
- 0.57
- from
- 2005=36.199
- to
- 2019=35.419
- min:
- 35.419
- max:
- 36.281
- avg:
- 35.88
- σ:
- 0.264
- from
- 2005=36.447
- to
- 2019=36.024
- min:
- 36.024
- max:
- 36.712
- avg:
- 36.393
- σ:
- 0.219
- from
- 2005=75.6
- to
- 2019=65.576
- min:
- 65.576
- max:
- 80.222
- avg:
- 75.33
- σ:
- 4.99
- from
- 2005=37.306
- to
- 2019=33.972
- min:
- 33.972
- max:
- 38.412
- avg:
- 36.748
- σ:
- 1.43
- from
- 2005=43.12
- to
- 2019=41.696
- min:
- 41.696
- max:
- 44.33
- avg:
- 43.337
- σ:
- 0.844
- from
- 2005=36.292
- to
- 2019=35.401
- min:
- 35.401
- max:
- 36.445
- avg:
- 36.055
- σ:
- 0.317
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_F.A] | 45.689 | 45.342 | 45.876 | 45.347 | 46.571 | 46.481 | 46.371 | 46.315 | 46.081 | 45.748 | 45.58 | 45.397 | 45.06 | 44.705 | 44.459 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_M.A] | 36.487 | 36.383 | 36.086 | 36.155 | 36.631 | 36.781 | 36.596 | 36.498 | 36.402 | 36.112 | 35.872 | 35.641 | 35.349 | 35.187 | 35.065 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_NAT.SEX_T.A] | 38.127 | 37.96 | 37.787 | 37.734 | 38.329 | 38.44 | 38.314 | 38.282 | 38.263 | 38.073 | 37.961 | 37.86 | 37.68 | 37.515 | 37.404 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_F.A] | 37.522 | 37.368 | 37.888 | 37.597 | 38.611 | 38.684 | 38.81 | 38.986 | 39.064 | 39.066 | 38.802 | 38.6 | 38.357 | 38.054 | 37.834 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_M.A] | 36.199 | 36.049 | 35.773 | 35.768 | 36.179 | 36.281 | 36.131 | 36.066 | 36.025 | 35.81 | 35.742 | 35.689 | 35.582 | 35.481 | 35.419 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_RUR.SEX_T.A] | 36.447 | 36.293 | 36.159 | 36.098 | 36.615 | 36.712 | 36.626 | 36.623 | 36.638 | 36.504 | 36.424 | 36.365 | 36.252 | 36.114 | 36.024 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_F.A] | 75.6 | 75.503 | 77.106 | 76.667 | 79.847 | 80.194 | 80.179 | 80.222 | 79.628 | 78.783 | 75.012 | 71.422 | 67.691 | 66.516 | 65.576 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_M.A] | 37.306 | 37.36 | 37.023 | 37.348 | 38.068 | 38.412 | 38.154 | 37.982 | 37.733 | 37.206 | 36.324 | 35.482 | 34.589 | 34.254 | 33.972 |
[AFG.XA_2198.AGE_YTHADULT_Y15-24.GEO_COV_URB.SEX_T.A] | 43.12 | 43.048 | 42.891 | 43.009 | 44.013 | 44.33 | 44.241 | 44.281 | 44.32 | 44.098 | 43.578 | 43.052 | 42.38 | 41.996 | 41.696 |
[AFG.XA_2198.AGE_YTHADULT_YGE15.GEO_COV_NAT.SEX_F.A] | 36.292 | 35.873 | 36.229 | 35.649 | 36.445 | 36.243 | 36.318 | 36.434 | 36.305 | 36.164 | 36.115 | 36.011 | 35.786 | 35.561 | 35.401 |
Showing results 1 - 10 / 7,641