[EMP_2EMP_SEX_GEO_OCU_NB] Employment by sex, rural / urban areas and occupation -- ILO modelled estimates, Nov. 2020 (thousands)
Updated on DBnomics on September 4, 2023 (6:24 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
- [XA_15737] ILO - Modelled Estimates
- [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
- [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
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- [XA_1990] ILO - Modelled Estimates
- [XA_1992] ILO - Modelled Estimates
- [XA_1996] ILO - Modelled Estimates
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- [XA_2007] ILO - Modelled Estimates
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- [XA_2012] 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_2054] ILO - Modelled Estimates
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- [XA_2064] ILO - Modelled Estimates
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- [XA_2070] ILO - Modelled Estimates
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- [XA_2132] ILO - Modelled Estimates
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- [XA_2134] ILO - Modelled Estimates
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- [XA_2138] ILO - Modelled Estimates
- [XA_2140] ILO - Modelled Estimates
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- [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
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- [XA_2174] ILO - Modelled Estimates
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- [XA_2180] ILO - Modelled Estimates
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- [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
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- [XA_8372] ILO - Modelled Estimates
- [XA_8373] ILO - Modelled Estimates
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- [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_8410] ILO - Modelled Estimates
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- [XA_8422] ILO - Modelled Estimates
- [XA_8423] ILO - Modelled Estimates
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- [XA_8425] ILO - Modelled Estimates
- [XA_8426] ILO - Modelled Estimates
- [XA_8427] ILO - Modelled Estimates
- [XA_8428] ILO - Modelled Estimates
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- [XA_8432] ILO - Modelled Estimates
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- [XA_8437] ILO - Modelled Estimates
- [XA_8438] ILO - Modelled Estimates
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- [XA_8440] ILO - Modelled Estimates
- [XA_8441] ILO - Modelled Estimates
- [XA_8442] ILO - Modelled Estimates
- [XA_8443] ILO - Modelled Estimates
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- [XA_8445] ILO - Modelled Estimates
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[classif1] Classification 1
- [GEO_COV_NAT] Area type: National
- [GEO_COV_RUR] Area type: Rural
- [GEO_COV_URB] Area type: Urban
[classif2] Classification 2
- [OCU_DETAILS_1] Occupation (Detailed): 1. Managers
- [OCU_DETAILS_2] Occupation (Detailed): 2. Professionals
- [OCU_DETAILS_3] Occupation (Detailed): 3. Technicians and associate professionals
- [OCU_DETAILS_4] Occupation (Detailed): 4. Clerical support workers
- [OCU_DETAILS_5] Occupation (Detailed): 5. Service and sales workers
- [OCU_DETAILS_7] Occupation (Detailed): 7. Craft and related trades workers
- [OCU_DETAILS_8] Occupation (Detailed): 8. Plant and machine operators, and assemblers
- [OCU_DETAILS_96] Occupation (Detailed): 96. Elementary occupations and skilled agricultural, forestry and fishery workers
- [OCU_DETAILS_TOTAL] Occupation (Detailed): Total
[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] (9)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 22,923 series:
- from
- 2010=2.616
- to
- 2019=2.616
- min:
- 1.476
- max:
- 2.616
- avg:
- 2.162
- σ:
- 0.374
- from
- 2010=67.903
- to
- 2019=67.903
- min:
- 42
- max:
- 67.903
- avg:
- 55.141
- σ:
- 8.559
- from
- 2010=70.519
- to
- 2019=70.519
- min:
- 43.475
- max:
- 70.519
- avg:
- 57.303
- σ:
- 8.899
- from
- 2010=92.767
- to
- 2019=92.767
- min:
- 31.654
- max:
- 92.767
- avg:
- 60.292
- σ:
- 22.006
- from
- 2010=313.673
- to
- 2019=313.673
- min:
- 230.098
- max:
- 313.673
- avg:
- 282.777
- σ:
- 27.355
- from
- 2010=406.44
- to
- 2019=406.44
- min:
- 261.752
- max:
- 406.44
- avg:
- 343.069
- σ:
- 47.725
- from
- 2010=2.909
- to
- 2019=2.909
- min:
- 2.46
- max:
- 9.533
- avg:
- 5.604
- σ:
- 2.35
- from
- 2010=134.075
- to
- 2019=134.075
- min:
- 75.928
- max:
- 134.075
- avg:
- 101.093
- σ:
- 20.801
- from
- 2010=136.984
- to
- 2019=136.984
- min:
- 82.344
- max:
- 136.984
- avg:
- 106.697
- σ:
- 18.936
- from
- 2010=14.376
- to
- 2019=14.376
- min:
- 6.568
- max:
- 14.376
- avg:
- 10.641
- σ:
- 2.624
Series code | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_1.SEX_F.A] | 1.476 | 1.595 | 1.836 | 2.136 | 2.429 | 2.437 | 2.343 | 2.266 | 2.485 | 2.616 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_1.SEX_M.A] | 42 | 44.085 | 47.586 | 50.715 | 53.532 | 57.465 | 59.854 | 62.375 | 65.894 | 67.903 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_1.SEX_T.A] | 43.475 | 45.68 | 49.422 | 52.851 | 55.96 | 59.903 | 62.197 | 64.641 | 68.379 | 70.519 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_2.SEX_F.A] | 31.654 | 34.316 | 39.351 | 45.85 | 51.273 | 61.492 | 72.645 | 84.937 | 88.632 | 92.767 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_2.SEX_M.A] | 230.098 | 238.822 | 263.948 | 283.495 | 294.016 | 298.01 | 300.91 | 300.297 | 304.499 | 313.673 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_2.SEX_T.A] | 261.752 | 273.138 | 303.299 | 329.346 | 345.289 | 359.502 | 373.555 | 385.233 | 393.131 | 406.44 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_3.SEX_F.A] | 6.242 | 6.519 | 7.254 | 8.268 | 9.533 | 6.223 | 3.917 | 2.46 | 2.717 | 2.909 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_3.SEX_M.A] | 76.102 | 75.928 | 82.129 | 86.281 | 91.463 | 102.62 | 111.916 | 121.539 | 128.878 | 134.075 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_3.SEX_T.A] | 82.344 | 82.447 | 89.383 | 94.549 | 100.996 | 108.844 | 115.833 | 123.999 | 131.595 | 136.984 |
[AFG.XA_2198.GEO_COV_NAT.OCU_DETAILS_4.SEX_F.A] | 6.568 | 7.493 | 7.876 | 9.131 | 10.451 | 11.791 | 12.21 | 12.568 | 13.947 | 14.376 |
Showing results 1 - 10 / 22,923