Jobs gap rate by sex -- ILO modelled estimates, Nov. 2023 (%) [LUU_2LUX_SEX_RT]
Updated on DBnomics on December 18, 2023 (4:52 AM)
Reference area [ref_area]
Source [source]
Sex [sex]
Frequency [frequency]
Dataset has 255 series. Add search filters to narrow them.
- World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Male – Annual [ILO/LUU_2LUX_SEX_RT/X04.XA_8401.SEX_M.A]
- min:
- 9.017
- max:
- 11.12
- avg:
- 9.859
- σ:
- 0.527
- World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Total – Annual [ILO/LUU_2LUX_SEX_RT/X04.XA_8401.SEX_T.A]
- min:
- 10.353
- max:
- 12.94
- avg:
- 11.634
- σ:
- 0.669
- World: High income – ILO - Modelled Estimates (XA_8404) – Sex: Female – Annual [ILO/LUU_2LUX_SEX_RT/X05.XA_8404.SEX_F.A]
- min:
- 9.478
- max:
- 14.173
- avg:
- 12.336
- σ:
- 1.403
- World: High income – ILO - Modelled Estimates (XA_8404) – Sex: Male – Annual [ILO/LUU_2LUX_SEX_RT/X05.XA_8404.SEX_M.A]
- min:
- 7.202
- max:
- 11.793
- avg:
- 9.592
- σ:
- 1.392
- World: High income – ILO - Modelled Estimates (XA_8404) – Sex: Total – Annual [ILO/LUU_2LUX_SEX_RT/X05.XA_8404.SEX_T.A]
- min:
- 8.236
- max:
- 12.727
- avg:
- 10.82
- σ:
- 1.378
- Africa – ILO - Modelled Estimates (XA_8372) – Sex: Female – Annual [ILO/LUU_2LUX_SEX_RT/X06.XA_8372.SEX_F.A]
- min:
- 22.993
- max:
- 25.89
- avg:
- 24.214
- σ:
- 0.819
- Africa – ILO - Modelled Estimates (XA_8372) – Sex: Male – Annual [ILO/LUU_2LUX_SEX_RT/X06.XA_8372.SEX_M.A]
- min:
- 15.134
- max:
- 16.79
- avg:
- 15.686
- σ:
- 0.427
- Africa – ILO - Modelled Estimates (XA_8372) – Sex: Total – Annual [ILO/LUU_2LUX_SEX_RT/X06.XA_8372.SEX_T.A]
- min:
- 18.751
- max:
- 20.903
- avg:
- 19.566
- σ:
- 0.567
- Africa: Low income – ILO - Modelled Estimates (XA_8406) – Sex: Female – Annual [ILO/LUU_2LUX_SEX_RT/X07.XA_8406.SEX_F.A]
- min:
- 21.822
- max:
- 24.544
- avg:
- 22.784
- σ:
- 0.787
- Africa: Low income – ILO - Modelled Estimates (XA_8406) – Sex: Male – Annual [ILO/LUU_2LUX_SEX_RT/X07.XA_8406.SEX_M.A]
- min:
- 14.586
- max:
- 16.246
- avg:
- 15.066
- σ:
- 0.483
Dimension codes and labels
[ref_area] Reference area
- [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
[source] Source
- [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] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual