[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

Series code	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
[X07.XA_8406.SEX_T.A]	119194.989	122982.759	126144.843	129421.911	132712.685	136415.568	139704.296	143383.492	147000.157	151180.47	155006.398	159281.671	163485.124	167944.561	172836.159	177633.052	183637.808	190436.954	194860.404	200397.091	206283.711
[X08.XA_8407.SEX_F.A]	60540.635	62204.684	63932.647	65783.14	66955.816	68300.143	69459.793	70759.295	72124.692	74373.086	75745.63	77158.276	78799.821	80575.563	81281.912	82633.436	83377.262	87096.319	89374.29	92285.849	94915.839
[X08.XA_8407.SEX_M.A]	76100.853	77889.342	79941.917	81649.864	83614.524	85281.38	87957.662	89674.476	90847.117	93250.865	95389.438	97634.603	100846.046	103229.517	106937.018	111258.255	114959.541	118037.166	121892.415	125174.49	128277.431
[X08.XA_8407.SEX_T.A]	136641.488	140094.027	143874.564	147433.004	150570.34	153581.523	157417.455	160433.772	162971.809	167623.95	171135.068	174792.879	179645.867	183805.08	188218.929	193891.691	198336.803	205133.485	211266.704	217460.34	223193.27
[X09.XA_8408.SEX_F.A]	4344.57	4434.245	4473.481	4469.063	4473.178	4469.452	3764.499	4259.399	4103.831	4214.161	4134.082	4381.462	4347.65	4589.592	4559.437	4599.457	4408.496	4414.561	4535.499	4597.459	4641.225
[X09.XA_8408.SEX_M.A]	4465.936	4488.291	4553.79	4558.266	4654.198	4576.144	4246.505	4620.125	4542.316	4585.354	4615.802	5102.062	5170.115	5267.017	5319.516	5349.95	5217.382	5268.099	5628.263	5715.323	5785.748
[X09.XA_8408.SEX_T.A]	8810.505	8922.536	9027.271	9027.329	9127.376	9045.596	8011.004	8879.524	8646.148	8799.515	8749.884	9483.524	9517.765	9856.609	9878.953	9949.407	9625.878	9682.659	10163.762	10312.782	10426.973
[X10.XA_8373.SEX_F.A]	6497.402	6772.676	7041.411	7617.114	7506.264	7574.17	7644.129	7435.378	7243.706	7806.015	8003.832	8135.172	8234.278	8437.042	7544.896	7221.644	6907.638	7535.178	7672.89	7730.99	7908.081
[X10.XA_8373.SEX_M.A]	24137.83	24553.658	25104.081	25567.332	26180.204	26823.131	28211.567	28137.875	27722.995	28323.083	28726.615	29158.346	30302.371	30628.399	32096.832	34075.233	34632.206	34518.862	36433.515	36878.729	37536.498
[X10.XA_8373.SEX_T.A]	30635.231	31326.334	32145.491	33184.446	33686.467	34397.301	35855.697	35573.254	34966.701	36129.098	36730.447	37293.518	38536.649	39065.442	39641.728	41296.877	41539.844	42054.04	44106.406	44609.719	45444.58

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