[EMP_2EMP_SEX_GEO_STE_NB] Employment by sex, rural / urban areas and status in employment -- ILO modelled estimates, Nov. 2021 (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
- [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
- [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
- [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
- [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 - 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_15736] ILO - Modelled Estimates
- [XA_15966] 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_1875] ILO - Modelled Estimates
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- [XA_1881] ILO - Modelled Estimates
- [XA_1883] ILO - Modelled Estimates
- [XA_1884] ILO - Modelled Estimates
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- [XA_1893] ILO - Modelled Estimates
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- [XA_2007] ILO - Modelled Estimates
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- [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_8386] ILO - Modelled Estimates
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- [XA_8388] 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
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- [XA_8406] ILO - Modelled Estimates
- [XA_8407] 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
- [STE_AGGREGATE_EES] Status in employment (Aggregate): Employees
- [STE_AGGREGATE_SLF] Status in employment (Aggregate): Self-employed
- [STE_AGGREGATE_TOTAL] Status in employment (Aggregate): Total
- [STE_ICSE93_1] Status in employment (ICSE-93): 1. Employees
- [STE_ICSE93_2] Status in employment (ICSE-93): 2. Employers
- [STE_ICSE93_3] Status in employment (ICSE-93): 3. Own-account workers
- [STE_ICSE93_5] Status in employment (ICSE-93): 5. Contributing family workers
- [STE_ICSE93_TOTAL] Status in employment (ICSE-93): 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] (275)
Source [source] (275)
Classification 1 [classif1] (3)
Classification 2 [classif2] (8)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 19,800 series:
- from
- 2005=14.664
- to
- 2020=110.468
- min:
- 14.454
- max:
- 164.618
- avg:
- 61.519
- σ:
- 52.999
- from
- 2005=448.526
- to
- 2020=1,192.025
- min:
- 448.526
- max:
- 1,385.68
- avg:
- 888.248
- σ:
- 344.572
- from
- 2005=463.19
- to
- 2020=1,302.493
- min:
- 463.19
- max:
- 1,550.298
- avg:
- 949.767
- σ:
- 395.322
- from
- 2005=848.518
- to
- 2020=1,370.703
- min:
- 848.518
- max:
- 1,804.808
- avg:
- 1,206.229
- σ:
- 322.8
- from
- 2005=4,283.364
- to
- 2020=5,640.922
- min:
- 4,283.364
- max:
- 5,862.446
- avg:
- 5,031.988
- σ:
- 484.806
- from
- 2005=5,131.882
- to
- 2020=7,011.625
- min:
- 5,131.882
- max:
- 7,667.254
- avg:
- 6,238.217
- σ:
- 797.948
- from
- 2005=863.182
- to
- 2020=1,481.17
- min:
- 863.182
- max:
- 1,969.426
- avg:
- 1,267.748
- σ:
- 374.723
- from
- 2005=4,731.89
- to
- 2020=6,832.948
- min:
- 4,731.89
- max:
- 7,248.126
- avg:
- 5,920.236
- σ:
- 824.216
- from
- 2005=5,595.073
- to
- 2020=8,314.118
- min:
- 5,595.073
- max:
- 9,217.552
- avg:
- 7,187.984
- σ:
- 1,190.812
- from
- 2005=14.664
- to
- 2020=110.468
- min:
- 14.454
- max:
- 164.618
- avg:
- 61.519
- σ:
- 52.999
Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_EES.SEX_F.A] | 14.664 | 15.39 | 14.454 | 15.579 | 16.082 | 17.496 | 24.013 | 28.131 | 38.291 | 53.855 | 76.32 | 105.416 | 136.321 | 153.199 | 164.618 | 110.468 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_EES.SEX_M.A] | 448.526 | 470.425 | 489.011 | 517.067 | 564.309 | 621.593 | 705.37 | 790.283 | 893.356 | 1007.18 | 1128.287 | 1248.621 | 1371.099 | 1379.135 | 1385.68 | 1192.025 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_EES.SEX_T.A] | 463.19 | 485.815 | 503.465 | 532.646 | 580.391 | 639.089 | 729.384 | 818.414 | 931.647 | 1061.035 | 1204.607 | 1354.037 | 1507.42 | 1532.334 | 1550.298 | 1302.493 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_SLF.SEX_F.A] | 848.518 | 864.7 | 875.445 | 890.154 | 907.276 | 936.254 | 994.69 | 1061.734 | 1171.946 | 1286.644 | 1403.553 | 1519.978 | 1642.842 | 1720.42 | 1804.808 | 1370.703 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_SLF.SEX_M.A] | 4283.364 | 4393.376 | 4467.596 | 4548.741 | 4603.324 | 4688.237 | 4836.15 | 4984.322 | 5122.226 | 5244.347 | 5344.239 | 5401.529 | 5439.229 | 5651.76 | 5862.446 | 5640.922 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_SLF.SEX_T.A] | 5131.882 | 5258.076 | 5343.041 | 5438.895 | 5510.6 | 5624.491 | 5830.84 | 6046.056 | 6294.172 | 6530.991 | 6747.792 | 6921.506 | 7082.071 | 7372.181 | 7667.254 | 7011.625 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_TOTAL.SEX_F.A] | 863.182 | 880.091 | 889.899 | 905.733 | 923.358 | 953.75 | 1018.703 | 1089.864 | 1210.238 | 1340.499 | 1479.873 | 1625.393 | 1779.163 | 1873.619 | 1969.426 | 1481.17 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_TOTAL.SEX_M.A] | 4731.89 | 4863.8 | 4956.607 | 5065.808 | 5167.633 | 5309.83 | 5541.52 | 5774.605 | 6015.582 | 6251.528 | 6472.526 | 6650.15 | 6810.329 | 7030.896 | 7248.126 | 6832.948 |
[AFG.XA_2198.GEO_COV_NAT.STE_AGGREGATE_TOTAL.SEX_T.A] | 5595.073 | 5743.891 | 5846.507 | 5971.541 | 6090.991 | 6263.581 | 6560.223 | 6864.469 | 7225.82 | 7592.026 | 7952.398 | 8275.543 | 8589.492 | 8904.515 | 9217.552 | 8314.118 |
[AFG.XA_2198.GEO_COV_NAT.STE_ICSE93_1.SEX_F.A] | 14.664 | 15.39 | 14.454 | 15.579 | 16.082 | 17.496 | 24.013 | 28.131 | 38.291 | 53.855 | 76.32 | 105.416 | 136.321 | 153.199 | 164.618 | 110.468 |
Showing results 1 - 10 / 19,800