[LUU_2LUX_SEX_NB] Jobs gap by sex -- ILO modelled estimates, Nov. 2023 (thousands)
Retrieved by DBnomics on December 18, 2023 (4:52 AM).
[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
[X98] World excluding India and China
[X99] World: Lower-middle income excluding India
[XA1] World: Upper-middle income excluding China
[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_16212] ILO - Modelled Estimates
[XA_16213] ILO - Modelled Estimates
[XA_16214] ILO - Modelled Estimates
[XA_8372] ILO - Modelled Estimates
[XA_8373] ILO - Modelled Estimates
[XA_8374] ILO - Modelled Estimates
[XA_8375] ILO - Modelled Estimates
[XA_8376] ILO - Modelled Estimates
[XA_8377] ILO - Modelled Estimates
[XA_8378] ILO - Modelled Estimates
[XA_8379] ILO - Modelled Estimates
[XA_8380] ILO - Modelled Estimates
[XA_8381] ILO - Modelled Estimates
[XA_8382] ILO - Modelled Estimates
[XA_8383] ILO - Modelled Estimates
[XA_8384] ILO - Modelled Estimates
[XA_8385] ILO - Modelled Estimates
[XA_8386] ILO - Modelled Estimates
[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_8411] ILO - Modelled Estimates
[XA_8412] ILO - Modelled Estimates
[XA_8413] ILO - Modelled Estimates
[XA_8415] ILO - Modelled Estimates
[XA_8416] ILO - Modelled Estimates
[XA_8417] ILO - Modelled Estimates
[XA_8419] ILO - Modelled Estimates
[XA_8420] ILO - Modelled Estimates
[XA_8421] ILO - Modelled Estimates
[XA_8422] ILO - Modelled Estimates
[XA_8423] ILO - Modelled Estimates
[XA_8424] ILO - Modelled Estimates
[XA_8425] ILO - Modelled Estimates
[XA_8426] ILO - Modelled Estimates
[XA_8427] ILO - Modelled Estimates
[XA_8428] ILO - Modelled Estimates
[XA_8429] ILO - Modelled Estimates
[XA_8432] ILO - Modelled Estimates
[XA_8434] ILO - Modelled Estimates
[XA_8435] ILO - Modelled Estimates
[XA_8436] ILO - Modelled Estimates
[XA_8438] ILO - Modelled Estimates
[XA_8440] ILO - Modelled Estimates
[XA_8441] ILO - Modelled Estimates
[XA_8442] ILO - Modelled Estimates
[XA_8443] ILO - Modelled Estimates
[XA_8444] ILO - Modelled Estimates
[XA_8446] ILO - Modelled Estimates
[XA_8447] ILO - Modelled Estimates
[XA_8448] ILO - Modelled Estimates
[XA_8449] ILO - Modelled Estimates
[XA_8450] ILO - Modelled Estimates
[SEX_F] Sex: Female
[SEX_M] Sex: Male
[SEX_T] Sex: Total
[A] Annual
Search filters
Reference area [ref_area] (85)
Source [source] (85)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 255 series:
[X01.XA_8405.SEX_F.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Female – Annual
- from
- 2005=210,706.762
- to
- 2023=220,735.114
- min:
- 206,290.89
- max:
- 244,682.335
- avg:
- 219,148.316
- σ:
- 9,216.715
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=211,913.546
- to
- 2023=214,075.895
- min:
- 206,288.27
- max:
- 254,831.611
- avg:
- 222,063.068
- σ:
- 10,625.189
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=422,620.308
- to
- 2023=434,810.185
- min:
- 412,579.16
- max:
- 499,513.946
- avg:
- 441,211.341
- σ:
- 19,404.348
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=19,809.957
- to
- 2023=35,675.489
- min:
- 19,809.957
- max:
- 35,675.489
- avg:
- 27,021.826
- σ:
- 5,327.993
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=15,858.75
- to
- 2023=30,887.353
- min:
- 15,858.75
- max:
- 30,887.353
- avg:
- 22,045.585
- σ:
- 4,865.717
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=35,668.707
- to
- 2023=66,562.019
- min:
- 35,668.707
- max:
- 66,562.019
- avg:
- 49,067.368
- σ:
- 10,183.906
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=57,801.368
- to
- 2023=73,711.498
- min:
- 57,801.368
- max:
- 73,711.498
- avg:
- 65,647.079
- σ:
- 4,667.759
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=79,084.604
- to
- 2023=79,519.404
- min:
- 79,084.604
- max:
- 97,261.647
- avg:
- 84,861.384
- σ:
- 4,487.086
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=136,885.972
- to
- 2023=153,230.901
- min:
- 136,885.972
- max:
- 169,433.16
- avg:
- 150,508.463
- σ:
- 7,876.502
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=98,393.18
- to
- 2023=82,413.282
- min:
- 82,413.282
- max:
- 99,773.347
- avg:
- 91,504.751
- σ:
- 4,250.409
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [X01.XA_8405.SEX_F.A] | 210706.762 | 207843.955 | 206290.89 | 206682.087 | 216274.013 | 217693.446 | 216427.909 | 216424.198 | 217067.89 | 216129.241 | 219708.802 | 222997.224 | 222617.408 | 220790.776 | 219749.865 | 244682.335 | 238022.618 | 222973.476 | 220735.114 |
| [X01.XA_8405.SEX_M.A] | 211913.546 | 209570.587 | 206288.27 | 209673.458 | 224498.487 | 223840.874 | 221696.202 | 226647.564 | 222900.273 | 221945.432 | 223610.539 | 225354.51 | 224790.793 | 222492.749 | 219257.286 | 254831.611 | 238346.872 | 217463.336 | 214075.895 |
| [X01.XA_8405.SEX_T.A] | 422620.308 | 417414.542 | 412579.16 | 416355.545 | 440772.501 | 441534.32 | 438124.111 | 443071.762 | 439968.163 | 438074.674 | 443319.341 | 448351.734 | 447408.201 | 443283.525 | 439007.15 | 499513.946 | 476369.49 | 440436.812 | 434810.185 |
| [X02.XA_8402.SEX_F.A] | 19809.957 | 20245.011 | 20736.013 | 21244.258 | 22032.547 | 22770.33 | 23555.148 | 24882.749 | 25242.569 | 25698.914 | 26931.978 | 28210.404 | 29481.291 | 30308.547 | 31742.087 | 34738.27 | 35165.779 | 34943.354 | 35675.489 |
| [X02.XA_8402.SEX_M.A] | 15858.75 | 16263.598 | 16644.982 | 17277.358 | 17352.215 | 17956.648 | 18537.563 | 19690.977 | 20238.746 | 20691.632 | 21945.254 | 23010.621 | 23987.872 | 24718.847 | 25831.099 | 28515.829 | 29381.555 | 30075.217 | 30887.353 |
| [X02.XA_8402.SEX_T.A] | 35668.707 | 36508.609 | 37380.995 | 38521.615 | 39384.762 | 40726.978 | 42092.711 | 44573.726 | 45481.315 | 46390.546 | 48877.231 | 51221.024 | 53469.163 | 55027.394 | 57573.185 | 63254.099 | 64547.334 | 65018.572 | 66562.019 |
| [X03.XA_8403.SEX_F.A] | 57801.368 | 58225.271 | 59410.582 | 60737.269 | 62545.447 | 63689.532 | 63855.558 | 62871.192 | 64168.044 | 65215.304 | 67251.121 | 68068.203 | 68676.506 | 68292.725 | 67318.752 | 72171.513 | 72232.689 | 71051.919 | 73711.498 |
| [X03.XA_8403.SEX_M.A] | 79084.604 | 79807.23 | 80126.004 | 81720.966 | 82990.916 | 83696.873 | 84892.579 | 89309.142 | 84861.248 | 85633.659 | 87094.978 | 86826.622 | 88196.281 | 87693.939 | 84023.26 | 97261.647 | 90062.391 | 79564.559 | 79519.404 |
| [X03.XA_8403.SEX_T.A] | 136885.972 | 138032.5 | 139536.586 | 142458.235 | 145536.362 | 147386.406 | 148748.137 | 152180.334 | 149029.292 | 150848.963 | 154346.099 | 154894.825 | 156872.786 | 155986.664 | 151342.012 | 169433.16 | 162295.08 | 150616.479 | 153230.901 |
| [X04.XA_8401.SEX_F.A] | 98393.18 | 95874.758 | 94181.367 | 92473.332 | 94651.514 | 92984.964 | 90177.487 | 88896.1 | 87866.879 | 86575.066 | 88762.67 | 91298.016 | 91030.893 | 90354.402 | 89827.91 | 99773.347 | 96398.95 | 86656.16 | 82413.282 |
Loading chart
Search filters
Reference area [ref_area] (85)
Source [source] (85)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 255 series:
[X01.XA_8405.SEX_F.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Female – Annual
- from
- 2005=210,706.762
- to
- 2023=220,735.114
- min:
- 206,290.89
- max:
- 244,682.335
- avg:
- 219,148.316
- σ:
- 9,216.715
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=211,913.546
- to
- 2023=214,075.895
- min:
- 206,288.27
- max:
- 254,831.611
- avg:
- 222,063.068
- σ:
- 10,625.189
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=422,620.308
- to
- 2023=434,810.185
- min:
- 412,579.16
- max:
- 499,513.946
- avg:
- 441,211.341
- σ:
- 19,404.348
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=19,809.957
- to
- 2023=35,675.489
- min:
- 19,809.957
- max:
- 35,675.489
- avg:
- 27,021.826
- σ:
- 5,327.993
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=15,858.75
- to
- 2023=30,887.353
- min:
- 15,858.75
- max:
- 30,887.353
- avg:
- 22,045.585
- σ:
- 4,865.717
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=35,668.707
- to
- 2023=66,562.019
- min:
- 35,668.707
- max:
- 66,562.019
- avg:
- 49,067.368
- σ:
- 10,183.906
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=57,801.368
- to
- 2023=73,711.498
- min:
- 57,801.368
- max:
- 73,711.498
- avg:
- 65,647.079
- σ:
- 4,667.759
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=79,084.604
- to
- 2023=79,519.404
- min:
- 79,084.604
- max:
- 97,261.647
- avg:
- 84,861.384
- σ:
- 4,487.086
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=136,885.972
- to
- 2023=153,230.901
- min:
- 136,885.972
- max:
- 169,433.16
- avg:
- 150,508.463
- σ:
- 7,876.502
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=98,393.18
- to
- 2023=82,413.282
- min:
- 82,413.282
- max:
- 99,773.347
- avg:
- 91,504.751
- σ:
- 4,250.409
| Series code | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [X01.XA_8405.SEX_F.A] | 210706.762 | 207843.955 | 206290.89 | 206682.087 | 216274.013 | 217693.446 | 216427.909 | 216424.198 | 217067.89 | 216129.241 | 219708.802 | 222997.224 | 222617.408 | 220790.776 | 219749.865 | 244682.335 | 238022.618 | 222973.476 | 220735.114 |
| [X01.XA_8405.SEX_M.A] | 211913.546 | 209570.587 | 206288.27 | 209673.458 | 224498.487 | 223840.874 | 221696.202 | 226647.564 | 222900.273 | 221945.432 | 223610.539 | 225354.51 | 224790.793 | 222492.749 | 219257.286 | 254831.611 | 238346.872 | 217463.336 | 214075.895 |
| [X01.XA_8405.SEX_T.A] | 422620.308 | 417414.542 | 412579.16 | 416355.545 | 440772.501 | 441534.32 | 438124.111 | 443071.762 | 439968.163 | 438074.674 | 443319.341 | 448351.734 | 447408.201 | 443283.525 | 439007.15 | 499513.946 | 476369.49 | 440436.812 | 434810.185 |
| [X02.XA_8402.SEX_F.A] | 19809.957 | 20245.011 | 20736.013 | 21244.258 | 22032.547 | 22770.33 | 23555.148 | 24882.749 | 25242.569 | 25698.914 | 26931.978 | 28210.404 | 29481.291 | 30308.547 | 31742.087 | 34738.27 | 35165.779 | 34943.354 | 35675.489 |
| [X02.XA_8402.SEX_M.A] | 15858.75 | 16263.598 | 16644.982 | 17277.358 | 17352.215 | 17956.648 | 18537.563 | 19690.977 | 20238.746 | 20691.632 | 21945.254 | 23010.621 | 23987.872 | 24718.847 | 25831.099 | 28515.829 | 29381.555 | 30075.217 | 30887.353 |
| [X02.XA_8402.SEX_T.A] | 35668.707 | 36508.609 | 37380.995 | 38521.615 | 39384.762 | 40726.978 | 42092.711 | 44573.726 | 45481.315 | 46390.546 | 48877.231 | 51221.024 | 53469.163 | 55027.394 | 57573.185 | 63254.099 | 64547.334 | 65018.572 | 66562.019 |
| [X03.XA_8403.SEX_F.A] | 57801.368 | 58225.271 | 59410.582 | 60737.269 | 62545.447 | 63689.532 | 63855.558 | 62871.192 | 64168.044 | 65215.304 | 67251.121 | 68068.203 | 68676.506 | 68292.725 | 67318.752 | 72171.513 | 72232.689 | 71051.919 | 73711.498 |
| [X03.XA_8403.SEX_M.A] | 79084.604 | 79807.23 | 80126.004 | 81720.966 | 82990.916 | 83696.873 | 84892.579 | 89309.142 | 84861.248 | 85633.659 | 87094.978 | 86826.622 | 88196.281 | 87693.939 | 84023.26 | 97261.647 | 90062.391 | 79564.559 | 79519.404 |
| [X03.XA_8403.SEX_T.A] | 136885.972 | 138032.5 | 139536.586 | 142458.235 | 145536.362 | 147386.406 | 148748.137 | 152180.334 | 149029.292 | 150848.963 | 154346.099 | 154894.825 | 156872.786 | 155986.664 | 151342.012 | 169433.16 | 162295.08 | 150616.479 | 153230.901 |
| [X04.XA_8401.SEX_F.A] | 98393.18 | 95874.758 | 94181.367 | 92473.332 | 94651.514 | 92984.964 | 90177.487 | 88896.1 | 87866.879 | 86575.066 | 88762.67 | 91298.016 | 91030.893 | 90354.402 | 89827.91 | 99773.347 | 96398.95 | 86656.16 | 82413.282 |
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