[EAR_STEM_SEX_NB] Mean nominal monthly earnings of STEM employees
Updated on DBnomics on February 19, 2024 (5:12 AM).
[ref_area] Reference area
- [AGO] Angola
- [ARG] Argentina
- [BDI] Burundi
- [BFA] Burkina Faso
- [BGD] Bangladesh
- [BIH] Bosnia and Herzegovina
- [BOL] Bolivia
- [BRA] Brazil
- [BRB] Barbados
- [BRN] Brunei Darussalam
- [BTN] Bhutan
- [BWA] Botswana
- [CHE] Switzerland
- [CHL] Chile
- [CIV] Côte d'Ivoire
- [COK] Cook Islands
- [COL] Colombia
- [DOM] Dominican Republic
- [ECU] Ecuador
- [EGY] Egypt
- [ETH] Ethiopia
- [FJI] Fiji
- [FRA] France
- [GHA] Ghana
- [GMB] Gambia
- [GRC] Greece
- [GTM] Guatemala
- [GUY] Guyana
- [HND] Honduras
- [IND] India
- [JOR] Jordan
- [KEN] Kenya
- [KHM] Cambodia
- [KIR] Kiribati
- [LAO] Lao People's Democratic Republic
- [LBN] Lebanon
- [LBR] Liberia
- [LKA] Sri Lanka
- [LSO] Lesotho
- [MDG] Madagascar
- [MDV] Maldives
- [MEX] Mexico
- [MHL] Marshall Islands
- [MMR] Myanmar
- [MNG] Mongolia
- [MUS] Mauritius
- [NGA] Nigeria
- [NPL] Nepal
- [PAK] Pakistan
- [PAN] Panama
- [PER] Peru
- [PHL] Philippines
- [PSE] Occupied Palestinian Territory
- [RWA] Rwanda
- [SDN] Sudan
- [SEN] Senegal
- [SLE] Sierra Leone
- [SLV] El Salvador
- [SRB] Serbia
- [SUR] Suriname
- [SWZ] Eswatini
- [TGO] Togo
- [THA] Thailand
- [TLS] Timor-Leste
- [TON] Tonga
- [TUN] Tunisia
- [TUR] Türkiye
- [TZA] Tanzania, United Republic of
- [UGA] Uganda
- [URY] Uruguay
- [USA] United States
- [VNM] Viet Nam
- [WLF] Wallis and Futuna Islands
- [WSM] Samoa
- [ZMB] Zambia
- [ZWE] Zimbabwe
[source] Source
- [BA_1126] LFS - National Labor Force Survey
- [BA_1135] LFS - Employment, Unemployment Survey
- [BA_1163] LFS - Labour Force Survey
- [BA_1214] LFS - Labour Force Survey
- [BA_13047] LFS - National Labour Force Survey
- [BA_1321] LFS - Labour Force Survey
- [BA_13368] LFS - National Employment Survey
- [BA_13413] LFS - Continuous National Labour Force Survey
- [BA_1359] LFS - Labour Force Survey
- [BA_13951] LFS - Employment Survey
- [BA_14074] LFS - Labour Force Survey
- [BA_14098] LFS - Regional Integrated Survey on Employment and the Informal Sector
- [BA_14121] LFS - Periodic Labour Force Survey
- [BA_14123] LFS - Regional Integrated Survey on Employment and the Informal Sector
- [BA_148] LFS - Employment Survey
- [BA_150] LFS - Permanent Household Survey, Urban
- [BA_1510] LFS - Labour Force Survey
- [BA_15665] LFS - Labour Force Survey
- [BA_15666] LFS - Labour Force Survey
- [BA_15678] LFS - Regional Integrated Survey on Employment and the Informal Sector
- [BA_1590] LFS - Labour Force Survey
- [BA_16] LFS - Labour Force Survey
- [BA_1603] LFS - Labor Market Panel Survey
- [BA_16208] LFS - Permanent Employment Survey, National
- [BA_1672] LFS - Labour Force Survey
- [BA_1712] LFS - Labour Force Survey
- [BA_1743] LFS - Labour Force Survey
- [BA_1788] LFS - Labour Force Survey
- [BA_1794] LFS - Labour Force Survey
- [BA_1823] LFS - Labour Force Survey
- [BA_19] LFS - National Survey on Employment, Unemployment and Underemployment
- [BA_2212] LFS - Labour Force Survey
- [BA_253] LFS - Labour Force Survey
- [BA_3050] LFS - Labour Force Survey
- [BA_317] LFS - Labour Force Survey
- [BA_348] LFS - Continous Household Survey
- [BA_358] LFS - Integrated Household Survey
- [BA_453] LFS - Current Population Survey
- [BA_463] LFS - National Occupation and Employment Survey
- [BA_467] LFS - Labour Force Survey
- [BA_493] LFS - Labour Force Survey
- [BA_511] LFS - Labour Market Survey
- [BA_538] LFS - Labour Force Survey
- [BA_582] LFS - Labour Force Sample Survey
- [BA_592] LFS - Labour Force Survey
- [BA_622] LFS - Household Labour Force Survey
- [BA_625] LFS - Labour Force Survey
- [BA_629] LFS - Labour Force Survey
- [BA_660] LFS - Monthly Employment and Income Survey
- [BA_6651] LFS - Labour Force Survey
- [BA_673] LFS - Labour Force Survey
- [BA_682] LFS - Employment and Unemployment Survey
- [BA_7009] LFS - Labour Force Survey
- [BA_7014] LFS - Labour Force Survey
- [BA_702] LFS - Labour Force Survey
- [BA_7345] LFS - National Survey on the Employment Situation
- [BA_74] LFS - Continuous Employment Survey
- [BA_741] LFS - Labour Force Survey
- [BA_7423] LFS - National Survey on Employment and the Informal Sector
- [BA_743] LFS - National Population and Employment Survey
- [BA_82] LFS - Continuous Multi-Purpose Household Survey
- [BA_8230] LFS - Labour Force Survey
- [BB_14101] HIES - Household Income and Expenditure Survey
- [BB_15690] HIES - Survey on Living Conditions
- [BB_15691] HIES - Survey on Living Conditions
- [BB_15723] HIES - Household Income and Expenditure Survey
- [BB_15893] HIES - Household Socio-Economic Survey
- [BB_15954] HIES - Socio Economic Survey
- [BB_16119] HIES - Household Income and Expenditure Survey
- [BB_16123] HIES - Household Income and Expenditure Survey
- [BB_16125] HIES - Household Income and Expenditure Survey
- [BB_268] HIES - National Household Survey
- [BB_3064] HIES - Household Socio-Economic Survey
- [BB_3078] HIES - Living Standards Survey
- [BB_5867] HIES - Living Conditions National Survey
- [BB_7019] HIES - Household Socio-Economic Survey
- [BB_704] HIES - Household Income and Expenditure Survey
- [BB_7040] HIES - Living Standards Survey
- [BB_73] HIES - Household Survey
- [BX_138] HS - National Survey on Socio-Economic Conditions
- [BX_15710] HS - Multi-Topic Household Survey
- [BX_15953] HS - Integrated Household Survey
- [BX_3465] HS - Continuous household survey
- [BX_461] HS - Multi-purpose Household Survey
- [BX_504] HS - Continous Multi-Purpose Household Survey
- [BX_6355] HS - Continuous National Household Sample Survey
[sex] Sex
- [SEX_F] Sex: Female
- [SEX_M] Sex: Male
- [SEX_T] Sex: Total
[frequency] Frequency
- [A] Annual
Search filters
Reference area [ref_area] (76)
Source [source] (86)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 258 series:
- from
- 2019=89,983.28
- to
- 2021=125,305.88
- min:
- 89,983.28
- max:
- 125,305.88
- avg:
- 107,644.58
- σ:
- 17,661.3
- from
- 2019=123,258.63
- to
- 2021=140,646.51
- min:
- 123,258.63
- max:
- 140,646.51
- avg:
- 131,952.57
- σ:
- 8,693.94
- from
- 2019=112,291
- to
- 2021=135,688.8
- min:
- 112,291
- max:
- 135,688.8
- avg:
- 123,989.9
- σ:
- 11,698.9
- from
- 2011=4,038.85
- to
- 2022=108,424.18
- min:
- 4,038.85
- max:
- 108,424.18
- avg:
- 31,448.622
- σ:
- 31,514.985
- from
- 2011=5,051.86
- to
- 2022=147,486.58
- min:
- 5,051.86
- max:
- 147,486.58
- avg:
- 41,447.755
- σ:
- 42,942.58
- from
- 2011=4,628.97
- to
- 2022=129,057.2
- min:
- 4,628.97
- max:
- 129,057.2
- avg:
- 36,908.681
- σ:
- 37,644.08
- from
- 2020=1,186,838.19
- to
- 2020=1,186,838.19
- min:
- 1,186,838.19
- max:
- 1,186,838.19
- avg:
- 1,186,838.19
- σ:
- 0
- from
- 2020=1,370,642.69
- to
- 2020=1,370,642.69
- min:
- 1,370,642.69
- max:
- 1,370,642.69
- avg:
- 1,370,642.69
- σ:
- 0
- from
- 2020=1,317,763.93
- to
- 2020=1,317,763.93
- min:
- 1,317,763.93
- max:
- 1,317,763.93
- avg:
- 1,317,763.93
- σ:
- 0
- from
- 2018=124,765.74
- to
- 2018=124,765.74
- min:
- 124,765.74
- max:
- 124,765.74
- avg:
- 124,765.74
- σ:
- 0
Series code | 2011 | 2012 | 2013 | 2014 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|
[AGO.BA_13951.SEX_F.A] | - | - | - | - | - | - | 89983.28 | - | 125305.88 | - |
[AGO.BA_13951.SEX_M.A] | - | - | - | - | - | - | 123258.63 | - | 140646.51 | - |
[AGO.BA_13951.SEX_T.A] | - | - | - | - | - | - | 112291 | - | 135688.8 | - |
[ARG.BA_150.SEX_F.A] | 4038.85 | 4901.85 | 6303.64 | 8074.38 | 18913.17 | 23737.91 | 33466.59 | 43430.95 | 63194.7 | 108424.18 |
[ARG.BA_150.SEX_M.A] | 5051.86 | 6494.75 | 8243.68 | 10332.93 | 23779.04 | 30552.88 | 41596.64 | 55238.64 | 85700.55 | 147486.58 |
[ARG.BA_150.SEX_T.A] | 4628.97 | 5785.79 | 7363.16 | 9317 | 21578.9 | 27544.8 | 37973.42 | 49545.37 | 76292.2 | 129057.2 |
[BDI.BB_7040.SEX_F.A] | - | - | - | - | - | - | - | 1186838.19 | - | - |
[BDI.BB_7040.SEX_M.A] | - | - | - | - | - | - | - | 1370642.69 | - | - |
[BDI.BB_7040.SEX_T.A] | - | - | - | - | - | - | - | 1317763.93 | - | - |
[BFA.BA_15678.SEX_F.A] | - | - | - | - | - | 124765.74 | - | - | - | - |
Showing results 1 - 10 / 258