[EMP_2NIF_SEX_NB] Informal employment by sex -- ILO modelled estimates, Nov. 2023 (thousands)

Name: Informal employment 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

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

from: 2004=771558.753

to: 2024=771558.753

min:: 653,120.285

max:: 773,057.824

avg:: 693,385.7

σ:: 35,485.478

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

from: 2004=1256000.009

to: 2024=1256000.009

min:: 1,039,685.338

max:: 1,256,000.009

avg:: 1,134,719.364

σ:: 64,936.05

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

from: 2004=2027558.762

to: 2024=2027558.762

min:: 1,692,805.622

max:: 2,027,558.762

avg:: 1,828,105.064

σ:: 99,710.002

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

from: 2004=104671.547

to: 2024=104671.547

min:: 64,049.771

max:: 104,671.547

avg:: 82,224.37

σ:: 12,197.59

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

from: 2004=130125.683

to: 2024=130125.683

min:: 77,797.425

max:: 130,125.683

avg:: 101,159.7

σ:: 15,421.621

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

from: 2004=234797.23

to: 2024=234797.23

min:: 141,847.196

max:: 234,797.23

avg:: 183,384.069

σ:: 27,609.384

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

from: 2004=335532.966

to: 2024=335532.966

min:: 231,909.06

max:: 337,703.824

avg:: 270,228.716

σ:: 29,310.458

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

from: 2004=672823.19

to: 2024=672823.19

min:: 479,085.386

max:: 672,823.19

avg:: 564,423.042

σ:: 58,409.434

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

from: 2004=1008356.155

to: 2024=1008356.155

min:: 710,994.447

max:: 1,008,356.155

avg:: 834,651.758

σ:: 87,233.53

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

from: 2004=298771.575

to: 2024=298771.575

min:: 287,480.225

max:: 321,612.829

avg:: 306,639.022

σ:: 7,077.692

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]	653120.285	655539.01	657410.546	660394.408	662226.26	665463.578	666580.963	671098.29	673708.1	678558.471	682479.922	689320.937	696995.343	705138.847	709775.913	717390.316	697422.221	732697.923	741161.787	773057.824	771558.753
[X01.XA_8405.SEX_M.A]	1039685.338	1043490.068	1053409.557	1061182.909	1070184.504	1079736.752	1091091.93	1102778.17	1109618.559	1120401.949	1132077.077	1141095.318	1151052.218	1161114.48	1169536.236	1181554.335	1178191.217	1212675.236	1227943.35	1246287.439	1256000.009
[X01.XA_8405.SEX_T.A]	1692805.622	1699029.077	1710820.104	1721577.317	1732410.765	1745200.33	1757672.893	1773876.461	1783326.659	1798960.42	1814556.998	1830416.256	1848047.561	1866253.326	1879312.15	1898944.651	1875613.439	1945373.159	1969105.137	2019345.263	2027558.762
[X02.XA_8402.SEX_F.A]	64049.771	65889.522	67327.998	68805.969	70299.486	71851.465	73397.162	75155.781	76818.753	78904.034	80889.326	83012.309	85098.358	87419.472	89703.977	91945.072	93536.908	97051.764	99052.998	101830.097	104671.547
[X02.XA_8402.SEX_M.A]	77797.425	80023.987	82342.252	84459.759	86254.095	88818.04	90845.465	93276.275	95157.172	97351.876	99363.623	101212.538	103602.499	106196.595	109194.005	112076.131	116442.936	120452.778	122984.414	126376.142	130125.683
[X02.XA_8402.SEX_T.A]	141847.196	145913.509	149670.25	153265.728	156553.581	160669.505	164242.626	168432.056	171975.925	176255.91	180252.949	184224.847	188700.857	193616.067	198897.981	204021.203	209979.844	217504.542	222037.412	228206.239	234797.23
[X03.XA_8403.SEX_F.A]	231909.06	235839.043	239372.198	242694.301	245642.93	249204.511	252600.473	253508.685	253764.202	259547.121	263998.884	267952.728	272188.997	277419.85	279272.25	286200.652	284426.216	297871.915	308152.232	337703.824	335532.966
[X03.XA_8403.SEX_M.A]	479085.386	482965.208	491442.186	499479.407	508338.007	516816.65	526308.947	533353.036	537580.984	548724.233	559212.697	568510.349	577696.694	588186.312	596996.107	609486.235	613964.705	627782.635	649154.225	664976.687	672823.19
[X03.XA_8403.SEX_T.A]	710994.447	718804.25	730814.384	742173.708	753980.937	766021.161	778909.42	786861.722	791345.186	808271.354	823211.581	836463.077	849885.691	865606.162	876268.358	895686.887	898390.921	925654.55	957306.457	1002680.511	1008356.155
[X04.XA_8401.SEX_F.A]	321612.829	318415.502	315444.957	313755.534	311142.612	309510.388	306557.126	307802.782	307774.421	305245.545	303373.598	304281.997	305282.533	305925.907	306437.218	305182.046	287480.225	304099.986	300944.693	300377.993	298771.575

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