[EIP_2JOB_SEX_RT] Potential labour force and willing non-jobseekers rate -- 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=10.208
- to
- 2023=8.844
- min:
- 8.844
- max:
- 10.208
- avg:
- 9.659
- σ:
- 0.338
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=5.36
- to
- 2023=4.497
- min:
- 4.497
- max:
- 5.36
- avg:
- 4.974
- σ:
- 0.231
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=7.351
- to
- 2023=6.291
- min:
- 6.291
- max:
- 7.351
- avg:
- 6.889
- σ:
- 0.272
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=18.362
- to
- 2023=19.691
- min:
- 18.251
- max:
- 20.657
- avg:
- 19.072
- σ:
- 0.708
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=10.921
- to
- 2023=12.413
- min:
- 10.636
- max:
- 12.6
- avg:
- 11.444
- σ:
- 0.702
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=14.332
- to
- 2023=15.713
- min:
- 14.138
- max:
- 16.301
- avg:
- 14.924
- σ:
- 0.706
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=11.127
- to
- 2023=10.621
- min:
- 10.621
- max:
- 11.548
- avg:
- 11.125
- σ:
- 0.238
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=5.651
- to
- 2023=4.316
- min:
- 4.316
- max:
- 5.666
- avg:
- 5.095
- σ:
- 0.417
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=7.475
- to
- 2023=6.504
- min:
- 6.504
- max:
- 7.523
- avg:
- 7.099
- σ:
- 0.327
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=10.071
- to
- 2023=6.991
- min:
- 6.991
- max:
- 10.071
- avg:
- 8.653
- σ:
- 0.761
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] | 10.208 | 10.051 | 9.923 | 9.824 | 9.862 | 9.907 | 9.785 | 9.683 | 9.63 | 9.543 | 9.534 | 9.594 | 9.488 | 9.382 | 9.26 | 10.166 | 9.703 | 9.134 | 8.844 |
[X01.XA_8405.SEX_M.A] | 5.36 | 5.303 | 5.152 | 5.1 | 5.13 | 5.1 | 5.01 | 5.113 | 4.891 | 4.867 | 4.828 | 4.837 | 4.806 | 4.742 | 4.699 | 5.342 | 5.016 | 4.707 | 4.497 |
[X01.XA_8405.SEX_T.A] | 7.351 | 7.249 | 7.107 | 7.032 | 7.063 | 7.061 | 6.954 | 6.97 | 6.819 | 6.77 | 6.747 | 6.78 | 6.72 | 6.639 | 6.566 | 7.314 | 6.941 | 6.52 | 6.291 |
[X02.XA_8402.SEX_F.A] | 18.362 | 18.32 | 18.27 | 18.251 | 18.324 | 18.358 | 18.462 | 19.026 | 18.894 | 18.724 | 19.028 | 19.275 | 19.458 | 19.458 | 19.764 | 20.657 | 20.139 | 19.905 | 19.691 |
[X02.XA_8402.SEX_M.A] | 10.921 | 10.87 | 10.784 | 10.756 | 10.675 | 10.639 | 10.636 | 10.97 | 11.098 | 11.095 | 11.504 | 11.681 | 11.77 | 11.84 | 12.064 | 12.6 | 12.532 | 12.597 | 12.413 |
[X02.XA_8402.SEX_T.A] | 14.332 | 14.271 | 14.193 | 14.162 | 14.147 | 14.138 | 14.184 | 14.632 | 14.643 | 14.568 | 14.946 | 15.16 | 15.298 | 15.333 | 15.596 | 16.301 | 16.019 | 15.912 | 15.713 |
[X03.XA_8403.SEX_F.A] | 11.127 | 11.079 | 11.247 | 11.409 | 11.436 | 11.548 | 11.5 | 11.093 | 11.135 | 11.158 | 11.086 | 11.119 | 10.987 | 10.85 | 10.792 | 11.299 | 10.982 | 10.914 | 10.621 |
[X03.XA_8403.SEX_M.A] | 5.651 | 5.666 | 5.551 | 5.597 | 5.438 | 5.404 | 5.348 | 5.61 | 5.018 | 5.005 | 4.958 | 4.847 | 4.808 | 4.659 | 4.601 | 5.058 | 4.739 | 4.529 | 4.316 |
[X03.XA_8403.SEX_T.A] | 7.475 | 7.465 | 7.445 | 7.523 | 7.428 | 7.44 | 7.376 | 7.401 | 7.031 | 7.036 | 6.987 | 6.93 | 6.862 | 6.712 | 6.657 | 7.123 | 6.823 | 6.669 | 6.504 |
[X04.XA_8401.SEX_F.A] | 10.071 | 9.809 | 9.503 | 9.258 | 9.227 | 9.206 | 8.852 | 8.72 | 8.535 | 8.338 | 8.318 | 8.41 | 8.28 | 8.159 | 7.886 | 9.042 | 8.435 | 7.364 | 6.991 |
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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=10.208
- to
- 2023=8.844
- min:
- 8.844
- max:
- 10.208
- avg:
- 9.659
- σ:
- 0.338
[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual
- from
- 2005=5.36
- to
- 2023=4.497
- min:
- 4.497
- max:
- 5.36
- avg:
- 4.974
- σ:
- 0.231
[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual
- from
- 2005=7.351
- to
- 2023=6.291
- min:
- 6.291
- max:
- 7.351
- avg:
- 6.889
- σ:
- 0.272
[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual
- from
- 2005=18.362
- to
- 2023=19.691
- min:
- 18.251
- max:
- 20.657
- avg:
- 19.072
- σ:
- 0.708
[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual
- from
- 2005=10.921
- to
- 2023=12.413
- min:
- 10.636
- max:
- 12.6
- avg:
- 11.444
- σ:
- 0.702
[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual
- from
- 2005=14.332
- to
- 2023=15.713
- min:
- 14.138
- max:
- 16.301
- avg:
- 14.924
- σ:
- 0.706
[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual
- from
- 2005=11.127
- to
- 2023=10.621
- min:
- 10.621
- max:
- 11.548
- avg:
- 11.125
- σ:
- 0.238
[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual
- from
- 2005=5.651
- to
- 2023=4.316
- min:
- 4.316
- max:
- 5.666
- avg:
- 5.095
- σ:
- 0.417
[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual
- from
- 2005=7.475
- to
- 2023=6.504
- min:
- 6.504
- max:
- 7.523
- avg:
- 7.099
- σ:
- 0.327
[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual
- from
- 2005=10.071
- to
- 2023=6.991
- min:
- 6.991
- max:
- 10.071
- avg:
- 8.653
- σ:
- 0.761
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] | 10.208 | 10.051 | 9.923 | 9.824 | 9.862 | 9.907 | 9.785 | 9.683 | 9.63 | 9.543 | 9.534 | 9.594 | 9.488 | 9.382 | 9.26 | 10.166 | 9.703 | 9.134 | 8.844 |
[X01.XA_8405.SEX_M.A] | 5.36 | 5.303 | 5.152 | 5.1 | 5.13 | 5.1 | 5.01 | 5.113 | 4.891 | 4.867 | 4.828 | 4.837 | 4.806 | 4.742 | 4.699 | 5.342 | 5.016 | 4.707 | 4.497 |
[X01.XA_8405.SEX_T.A] | 7.351 | 7.249 | 7.107 | 7.032 | 7.063 | 7.061 | 6.954 | 6.97 | 6.819 | 6.77 | 6.747 | 6.78 | 6.72 | 6.639 | 6.566 | 7.314 | 6.941 | 6.52 | 6.291 |
[X02.XA_8402.SEX_F.A] | 18.362 | 18.32 | 18.27 | 18.251 | 18.324 | 18.358 | 18.462 | 19.026 | 18.894 | 18.724 | 19.028 | 19.275 | 19.458 | 19.458 | 19.764 | 20.657 | 20.139 | 19.905 | 19.691 |
[X02.XA_8402.SEX_M.A] | 10.921 | 10.87 | 10.784 | 10.756 | 10.675 | 10.639 | 10.636 | 10.97 | 11.098 | 11.095 | 11.504 | 11.681 | 11.77 | 11.84 | 12.064 | 12.6 | 12.532 | 12.597 | 12.413 |
[X02.XA_8402.SEX_T.A] | 14.332 | 14.271 | 14.193 | 14.162 | 14.147 | 14.138 | 14.184 | 14.632 | 14.643 | 14.568 | 14.946 | 15.16 | 15.298 | 15.333 | 15.596 | 16.301 | 16.019 | 15.912 | 15.713 |
[X03.XA_8403.SEX_F.A] | 11.127 | 11.079 | 11.247 | 11.409 | 11.436 | 11.548 | 11.5 | 11.093 | 11.135 | 11.158 | 11.086 | 11.119 | 10.987 | 10.85 | 10.792 | 11.299 | 10.982 | 10.914 | 10.621 |
[X03.XA_8403.SEX_M.A] | 5.651 | 5.666 | 5.551 | 5.597 | 5.438 | 5.404 | 5.348 | 5.61 | 5.018 | 5.005 | 4.958 | 4.847 | 4.808 | 4.659 | 4.601 | 5.058 | 4.739 | 4.529 | 4.316 |
[X03.XA_8403.SEX_T.A] | 7.475 | 7.465 | 7.445 | 7.523 | 7.428 | 7.44 | 7.376 | 7.401 | 7.031 | 7.036 | 6.987 | 6.93 | 6.862 | 6.712 | 6.657 | 7.123 | 6.823 | 6.669 | 6.504 |
[X04.XA_8401.SEX_F.A] | 10.071 | 9.809 | 9.503 | 9.258 | 9.227 | 9.206 | 8.852 | 8.72 | 8.535 | 8.338 | 8.318 | 8.41 | 8.28 | 8.159 | 7.886 | 9.042 | 8.435 | 7.364 | 6.991 |
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