[HOW_2FTE_JOB_NB] Working hours lost due to the COVID-19 crisis expressed as number of FTE jobs -- ILO modelled estimates (thousands)
Updated on DBnomics on April 5, 2022 (9:55 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] Cape 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] Turkey
- [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
- [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
- [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
- [X80] Northern Africa: Low 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
- [X94] Arab States: Low income
- [YEM] Yemen
- [ZAF] South Africa
- [ZMB] Zambia
- [ZWE] Zimbabwe
[source] Source
- [XA_12987] ILO - ILO Modelled Estimates
- [XA_12988] ILO - ILO Modelled Estimates
- [XA_12989] ILO - ILO Modelled Estimates
- [XA_12990] ILO - ILO Modelled Estimates
- [XA_13328] ILO - ILO Modelled Estimates
- [XA_13329] ILO - ILO Modelled Estimates
- [XA_14065] ILO - ILO Modelled Estimates
- [XA_14066] ILO - ILO Modelled Estimates
- [XA_15672] ILO - ILO Modelled Estimates
- [XA_15716] ILO - ILO Modelled Estimates
- [XA_15724] ILO - ILO Modelled Estimates
- [XA_15736] ILO - ILO Modelled Estimates
- [XA_15966] ILO - ILO Modelled Estimates
- [XA_1829] ILO - ILO Modelled Estimates
- [XA_1830] ILO - ILO Modelled Estimates
- [XA_1832] ILO - ILO Modelled Estimates
- [XA_1835] ILO - ILO Modelled Estimates
- [XA_1836] ILO - ILO Modelled Estimates
- [XA_1837] ILO - ILO Modelled Estimates
- [XA_1839] ILO - ILO Modelled Estimates
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- [XA_1848] ILO - ILO Modelled Estimates
- [XA_1849] ILO - ILO Modelled Estimates
- [XA_1850] ILO - ILO Modelled Estimates
- [XA_1852] ILO - ILO Modelled Estimates
- [XA_1854] ILO - ILO Modelled Estimates
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[classif1] Classification 1
- [JOB_FTE_FTE40] Full-time equivalence: Based on 40 hours per week
- [JOB_FTE_FTE48] Full-time equivalence: Based on 48 hours per week
[frequency] Frequency
- [A] Annual
- [Q] Quarterly
Search filters
Reference area [ref_area] (278)
Source [source] (278)
Classification 1 [classif1] (2)
Frequency [frequency] (2)
This dataset has 734 series:
- from
- 2020=-141.182
- to
- 2023=-141.182
- min:
- -141.182
- max:
- 720.912
- avg:
- 293.597
- σ:
- 313.078
- from
- 2020=-117.651
- to
- 2023=-117.651
- min:
- -117.651
- max:
- 600.76
- avg:
- 244.665
- σ:
- 260.898
- from
- 2020=107.154
- to
- 2023=107.154
- min:
- 107.154
- max:
- 1,100.323
- avg:
- 569.47
- σ:
- 383.267
- from
- 2020=89.295
- to
- 2023=89.295
- min:
- 89.295
- max:
- 916.936
- avg:
- 474.558
- σ:
- 319.389
- from
- 2020=-27.523
- to
- 2023=-27.523
- min:
- -27.523
- max:
- 118.483
- avg:
- 31.949
- σ:
- 56.676
- from
- 2020=-22.936
- to
- 2023=-22.936
- min:
- -22.936
- max:
- 98.736
- avg:
- 26.624
- σ:
- 47.23
- from
- 2020=131.891
- to
- 2023=131.891
- min:
- 131.891
- max:
- 853.675
- avg:
- 466.561
- σ:
- 288.034
- from
- 2020=109.91
- to
- 2023=109.91
- min:
- 109.91
- max:
- 711.396
- avg:
- 388.801
- σ:
- 240.028
- from
- 2020=684.746
- to
- 2023=684.746
- min:
- 684.746
- max:
- 3,689.123
- avg:
- 1,682.8
- σ:
- 1,198.408
- from
- 2020=570.621
- to
- 2023=570.621
- min:
- 570.621
- max:
- 3,074.269
- avg:
- 1,402.333
- σ:
- 998.674
Series code | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
[AFG.XA_2198.JOB_FTE_FTE40.A] | 720.912 | 398.359 | 196.301 | -141.182 |
[AFG.XA_2198.JOB_FTE_FTE48.A] | 600.76 | 331.965 | 163.584 | -117.651 |
[AGO.XA_2010.JOB_FTE_FTE40.A] | 1100.323 | 746.961 | 323.441 | 107.154 |
[AGO.XA_2010.JOB_FTE_FTE48.A] | 916.936 | 622.468 | 269.534 | 89.295 |
[ALB.XA_2137.JOB_FTE_FTE40.A] | 118.483 | 45.415 | -8.578 | -27.523 |
[ALB.XA_2137.JOB_FTE_FTE48.A] | 98.736 | 37.846 | -7.148 | -22.936 |
[ARE.XA_1978.JOB_FTE_FTE40.A] | 853.675 | 625.567 | 255.111 | 131.891 |
[ARE.XA_1978.JOB_FTE_FTE48.A] | 711.396 | 521.306 | 212.593 | 109.91 |
[ARG.XA_1868.JOB_FTE_FTE40.A] | 3689.123 | 1506.527 | 850.805 | 684.746 |
[ARG.XA_1868.JOB_FTE_FTE48.A] | 3074.269 | 1255.439 | 709.004 | 570.621 |
Showing results 1 - 10 / 734