[LUU_2LUX_SEX_RT] Jobs gap rate by sex -- ILO modelled estimates, Nov. 2023 (%)
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=16.086
- to
- 2023=13.666
- min:
- 13.666
- max:
- 16.086
- avg:
- 15.161
- σ:
- 0.606
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=11.273
- to
- 2023=9.311
- min:
- 9.311
- max:
- 11.583
- avg:
- 10.629
- σ:
- 0.556
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=13.249
- to
- 2023=11.108
- min:
- 11.108
- max:
- 13.423
- avg:
- 12.482
- σ:
- 0.572
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=22.153
- to
- 2023=24.261
- min:
- 22.131
- max:
- 25.536
- avg:
- 23.303
- σ:
- 1.003
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=15.014
- to
- 2023=17.431
- min:
- 14.658
- max:
- 17.807
- avg:
- 15.895
- σ:
- 1.066
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=18.287
- to
- 2023=20.528
- min:
- 18.166
- max:
- 21.357
- avg:
- 19.274
- σ:
- 1.034
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=17.554
- to
- 2023=15.438
- min:
- 15.438
- max:
- 17.554
- avg:
- 17.006
- σ:
- 0.543
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=11.989
- to
- 2023=8.852
- min:
- 8.852
- max:
- 11.989
- avg:
- 10.984
- σ:
- 0.846
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=13.842
- to
- 2023=11.137
- min:
- 11.137
- max:
- 13.842
- avg:
- 12.986
- σ:
- 0.72
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=15.623
- to
- 2023=12.023
- min:
- 12.023
- max:
- 15.623
- avg:
- 13.858
- σ:
- 0.878
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] | 16.086 | 15.673 | 15.344 | 15.226 | 15.739 | 15.705 | 15.469 | 15.328 | 15.221 | 15 | 15.053 | 15.081 | 14.899 | 14.635 | 14.402 | 16.084 | 15.296 | 14.161 | 13.666 |
[X01.XA_8405.SEX_M.A] | 11.273 | 10.977 | 10.656 | 10.681 | 11.291 | 11.119 | 10.886 | 10.991 | 10.724 | 10.574 | 10.545 | 10.52 | 10.402 | 10.201 | 9.964 | 11.583 | 10.676 | 9.577 | 9.311 |
[X01.XA_8405.SEX_T.A] | 13.249 | 12.902 | 12.578 | 12.539 | 13.109 | 12.989 | 12.752 | 12.754 | 12.554 | 12.375 | 12.382 | 12.383 | 12.241 | 12.014 | 11.781 | 13.423 | 12.574 | 11.454 | 11.108 |
[X02.XA_8402.SEX_F.A] | 22.153 | 22.131 | 22.14 | 22.146 | 22.386 | 22.548 | 22.671 | 23.236 | 22.987 | 22.821 | 23.146 | 23.472 | 23.742 | 23.732 | 24.065 | 25.536 | 25.131 | 24.447 | 24.261 |
[X02.XA_8402.SEX_M.A] | 15.014 | 14.933 | 14.859 | 15 | 14.658 | 14.749 | 14.8 | 15.321 | 15.372 | 15.358 | 15.904 | 16.188 | 16.384 | 16.39 | 16.592 | 17.807 | 17.777 | 17.464 | 17.431 |
[X02.XA_8402.SEX_T.A] | 18.287 | 18.219 | 18.175 | 18.247 | 18.166 | 18.285 | 18.369 | 18.919 | 18.835 | 18.756 | 19.217 | 19.525 | 19.761 | 19.757 | 20.02 | 21.357 | 21.148 | 20.631 | 20.528 |
[X03.XA_8403.SEX_F.A] | 17.554 | 17.333 | 17.3 | 17.399 | 17.529 | 17.501 | 17.414 | 17.079 | 17.062 | 17.009 | 17.193 | 17.088 | 16.988 | 16.721 | 16.228 | 17.374 | 16.849 | 16.047 | 15.438 |
[X03.XA_8403.SEX_M.A] | 11.989 | 11.828 | 11.628 | 11.606 | 11.551 | 11.396 | 11.388 | 11.77 | 11.064 | 11.005 | 11.02 | 10.84 | 10.863 | 10.655 | 10.073 | 11.577 | 10.523 | 9.061 | 8.852 |
[X03.XA_8403.SEX_T.A] | 13.842 | 13.658 | 13.515 | 13.526 | 13.535 | 13.419 | 13.375 | 13.504 | 13.037 | 12.987 | 13.064 | 12.915 | 12.899 | 12.667 | 12.117 | 13.495 | 12.635 | 11.402 | 11.137 |
[X04.XA_8401.SEX_F.A] | 15.623 | 15.127 | 14.72 | 14.414 | 14.669 | 14.397 | 13.857 | 13.549 | 13.37 | 13.128 | 13.34 | 13.61 | 13.5 | 13.321 | 13.18 | 14.832 | 14.009 | 12.63 | 12.023 |
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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=16.086
- to
- 2023=13.666
- min:
- 13.666
- max:
- 16.086
- avg:
- 15.161
- σ:
- 0.606
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=11.273
- to
- 2023=9.311
- min:
- 9.311
- max:
- 11.583
- avg:
- 10.629
- σ:
- 0.556
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=13.249
- to
- 2023=11.108
- min:
- 11.108
- max:
- 13.423
- avg:
- 12.482
- σ:
- 0.572
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=22.153
- to
- 2023=24.261
- min:
- 22.131
- max:
- 25.536
- avg:
- 23.303
- σ:
- 1.003
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=15.014
- to
- 2023=17.431
- min:
- 14.658
- max:
- 17.807
- avg:
- 15.895
- σ:
- 1.066
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=18.287
- to
- 2023=20.528
- min:
- 18.166
- max:
- 21.357
- avg:
- 19.274
- σ:
- 1.034
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=17.554
- to
- 2023=15.438
- min:
- 15.438
- max:
- 17.554
- avg:
- 17.006
- σ:
- 0.543
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=11.989
- to
- 2023=8.852
- min:
- 8.852
- max:
- 11.989
- avg:
- 10.984
- σ:
- 0.846
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=13.842
- to
- 2023=11.137
- min:
- 11.137
- max:
- 13.842
- avg:
- 12.986
- σ:
- 0.72
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=15.623
- to
- 2023=12.023
- min:
- 12.023
- max:
- 15.623
- avg:
- 13.858
- σ:
- 0.878
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] | 16.086 | 15.673 | 15.344 | 15.226 | 15.739 | 15.705 | 15.469 | 15.328 | 15.221 | 15 | 15.053 | 15.081 | 14.899 | 14.635 | 14.402 | 16.084 | 15.296 | 14.161 | 13.666 |
[X01.XA_8405.SEX_M.A] | 11.273 | 10.977 | 10.656 | 10.681 | 11.291 | 11.119 | 10.886 | 10.991 | 10.724 | 10.574 | 10.545 | 10.52 | 10.402 | 10.201 | 9.964 | 11.583 | 10.676 | 9.577 | 9.311 |
[X01.XA_8405.SEX_T.A] | 13.249 | 12.902 | 12.578 | 12.539 | 13.109 | 12.989 | 12.752 | 12.754 | 12.554 | 12.375 | 12.382 | 12.383 | 12.241 | 12.014 | 11.781 | 13.423 | 12.574 | 11.454 | 11.108 |
[X02.XA_8402.SEX_F.A] | 22.153 | 22.131 | 22.14 | 22.146 | 22.386 | 22.548 | 22.671 | 23.236 | 22.987 | 22.821 | 23.146 | 23.472 | 23.742 | 23.732 | 24.065 | 25.536 | 25.131 | 24.447 | 24.261 |
[X02.XA_8402.SEX_M.A] | 15.014 | 14.933 | 14.859 | 15 | 14.658 | 14.749 | 14.8 | 15.321 | 15.372 | 15.358 | 15.904 | 16.188 | 16.384 | 16.39 | 16.592 | 17.807 | 17.777 | 17.464 | 17.431 |
[X02.XA_8402.SEX_T.A] | 18.287 | 18.219 | 18.175 | 18.247 | 18.166 | 18.285 | 18.369 | 18.919 | 18.835 | 18.756 | 19.217 | 19.525 | 19.761 | 19.757 | 20.02 | 21.357 | 21.148 | 20.631 | 20.528 |
[X03.XA_8403.SEX_F.A] | 17.554 | 17.333 | 17.3 | 17.399 | 17.529 | 17.501 | 17.414 | 17.079 | 17.062 | 17.009 | 17.193 | 17.088 | 16.988 | 16.721 | 16.228 | 17.374 | 16.849 | 16.047 | 15.438 |
[X03.XA_8403.SEX_M.A] | 11.989 | 11.828 | 11.628 | 11.606 | 11.551 | 11.396 | 11.388 | 11.77 | 11.064 | 11.005 | 11.02 | 10.84 | 10.863 | 10.655 | 10.073 | 11.577 | 10.523 | 9.061 | 8.852 |
[X03.XA_8403.SEX_T.A] | 13.842 | 13.658 | 13.515 | 13.526 | 13.535 | 13.419 | 13.375 | 13.504 | 13.037 | 12.987 | 13.064 | 12.915 | 12.899 | 12.667 | 12.117 | 13.495 | 12.635 | 11.402 | 11.137 |
[X04.XA_8401.SEX_F.A] | 15.623 | 15.127 | 14.72 | 14.414 | 14.669 | 14.397 | 13.857 | 13.549 | 13.37 | 13.128 | 13.34 | 13.61 | 13.5 | 13.321 | 13.18 | 14.832 | 14.009 | 12.63 | 12.023 |
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