[LUU_2LUX_SEX_NB] Jobs gap by sex -- ILO modelled estimates, Nov. 2023 (thousands)

Name: Jobs gap by sex -- ILO modelled estimates, Nov. 2023 (thousands)
Creator: DBnomics

Updated on DBnomics on December 18, 2023 (4:52 AM).

[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

Search filters

Reference area [ref_area] (85)

Source [source] (85)

Sex [sex] (3)

Frequency [frequency] (1)

This dataset has 255 series:

Trim NA Values

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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