[EMP_2NIF_SEX_RT] Informal employment rate by sex -- ILO modelled estimates, Nov. 2023 (%)

Name: Informal employment rate by sex -- ILO modelled estimates, Nov. 2023 (%)
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

[X01.XA_8405.SEX_F.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Female – Annual

from: 2004=55.167

to: 2024=55.167

min:: 54.63

max:: 60.469

avg:: 56.485

σ:: 1.598

[X01.XA_8405.SEX_M.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Male – Annual

from: 2004=59.602

to: 2024=59.602

min:: 59.602

max:: 63.251

avg:: 60.685

σ:: 0.952

[X01.XA_8405.SEX_T.A] World – ILO - Modelled Estimates (XA_8405) – Sex: Total – Annual

from: 2004=57.833

to: 2024=57.833

min:: 57.767

max:: 62.147

avg:: 59.02

σ:: 1.194

[X02.XA_8402.SEX_F.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Female – Annual

from: 2004=91.119

to: 2024=91.119

min:: 91.119

max:: 94.808

avg:: 93.073

σ:: 1.089

[X02.XA_8402.SEX_M.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Male – Annual

from: 2004=86.175

to: 2024=86.175

min:: 86.175

max:: 89.483

avg:: 87.57

σ:: 0.966

[X02.XA_8402.SEX_T.A] World: Low income – ILO - Modelled Estimates (XA_8402) – Sex: Total – Annual

from: 2004=88.311

to: 2024=88.311

min:: 88.311

max:: 91.812

avg:: 89.955

σ:: 0.976

[X03.XA_8403.SEX_F.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Female – Annual

from: 2004=83.035

to: 2024=83.035

min:: 82.105

max:: 87.604

avg:: 83.878

σ:: 1.516

[X03.XA_8403.SEX_M.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Male – Annual

from: 2004=80.734

to: 2024=80.734

min:: 80.3

max:: 83.759

avg:: 81.476

σ:: 0.896

[X03.XA_8403.SEX_T.A] World: Lower-middle income – ILO - Modelled Estimates (XA_8403) – Sex: Total – Annual

from: 2004=81.485

to: 2024=81.485

min:: 81.186

max:: 84.976

avg:: 82.238

σ:: 1.027

[X04.XA_8401.SEX_F.A] World: Upper-middle income – ILO - Modelled Estimates (XA_8401) – Sex: Female – Annual

from: 2004=49.429

to: 2024=49.429

min:: 49.429

max:: 61.272

avg:: 54

σ:: 3.29

Series code	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
[X01.XA_8405.SEX_F.A]	60.469	59.638	58.788	58.023	57.548	57.475	57.048	56.742	56.353	56.125	55.723	55.596	55.506	55.454	55.115	54.928	54.63	55.588	54.837	55.435	55.167
[X01.XA_8405.SEX_M.A]	63.251	62.563	61.977	61.357	61.038	61.216	60.978	60.766	60.455	60.381	60.311	60.152	60.054	59.97	59.713	59.638	60.569	60.811	59.807	59.775	59.602
[X01.XA_8405.SEX_T.A]	62.147	61.401	60.712	60.034	59.655	59.734	59.425	59.178	58.837	58.702	58.5	58.351	58.254	58.18	57.889	57.767	58.216	58.732	57.834	58.036	57.833
[X02.XA_8402.SEX_F.A]	94.808	94.652	94.519	94.354	94.132	94.06	93.838	93.54	93.45	93.298	93.071	92.83	92.52	92.322	92.096	91.798	92.34	92.638	91.723	91.432	91.119
[X02.XA_8402.SEX_M.A]	89.483	89.144	88.88	88.558	88.101	87.917	87.526	87.407	87.435	87.37	87.136	87.222	86.964	86.747	86.596	86.313	88.465	88.634	86.523	86.373	86.175
[X02.XA_8402.SEX_T.A]	91.812	91.55	91.331	91.07	90.71	90.562	90.239	90.041	90.023	89.928	89.703	89.663	89.385	89.178	88.993	88.701	90.15	90.377	88.768	88.56	88.311
[X03.XA_8403.SEX_F.A]	87.604	86.873	86.199	85.457	85.19	84.69	84.135	83.714	83.131	83.207	82.964	82.726	82.416	82.665	82.105	82.357	82.871	83.562	82.897	83.641	83.035
[X03.XA_8403.SEX_M.A]	83.759	83.19	82.604	82.023	81.671	81.324	80.877	80.746	80.3	80.438	80.75	80.844	80.894	81.275	81.186	81.251	82.646	81.98	81.288	81.209	80.734
[X03.XA_8403.SEX_T.A]	84.976	84.363	83.748	83.115	82.785	82.389	81.906	81.679	81.186	81.307	81.447	81.438	81.375	81.715	81.477	81.601	82.717	82.483	81.799	82.012	81.485
[X04.XA_8401.SEX_F.A]	61.272	59.92	58.641	57.504	56.666	56.214	55.447	54.905	54.263	53.615	52.955	52.767	52.677	52.451	52.123	51.575	50.178	51.391	50.201	49.809	49.429

Showing results 1 - 10 / 255