[EAR_TOUR_SEX_NB] Mean nominal monthly earnings of tourism sector employees
Updated on DBnomics on February 19, 2024 (5:12 AM).
[ref_area] Reference area
- [AGO] Angola
- [ARG] Argentina
- [BGD] Bangladesh
- [BOL] Bolivia
- [BRA] Brazil
- [BRB] Barbados
- [BTN] Bhutan
- [BWA] Botswana
- [COK] Cook Islands
- [COL] Colombia
- [DOM] Dominican Republic
- [ECU] Ecuador
- [EGY] Egypt
- [ETH] Ethiopia
- [FJI] Fiji
- [GHA] Ghana
- [GUY] Guyana
- [KEN] Kenya
- [KHM] Cambodia
- [LAO] Lao People's Democratic Republic
- [LBN] Lebanon
- [LKA] Sri Lanka
- [MDV] Maldives
- [MMR] Myanmar
- [MNG] Mongolia
- [NAM] Namibia
- [NPL] Nepal
- [PAK] Pakistan
- [PAN] Panama
- [PER] Peru
- [PHL] Philippines
- [RWA] Rwanda
- [SDN] Sudan
- [SEN] Senegal
- [SLV] El Salvador
- [SUR] Suriname
- [SWZ] Eswatini
- [THA] Thailand
- [TLS] Timor-Leste
- [TON] Tonga
- [TUN] Tunisia
- [TZA] Tanzania, United Republic of
- [UGA] Uganda
- [VNM] Viet Nam
- [WLF] Wallis and Futuna Islands
- [WSM] Samoa
- [ZMB] Zambia
[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_1468] LFS - Labour Force Survey
- [BA_150] LFS - Permanent Household Survey, Urban
- [BA_1510] LFS - Labour Force Survey
- [BA_15665] LFS - Labour Force Survey
- [BA_1590] 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_19] LFS - National Survey on Employment, Unemployment and Underemployment
- [BA_2212] LFS - Labour Force Survey
- [BA_3050] LFS - Labour Force Survey
- [BA_358] LFS - Integrated Household Survey
- [BA_511] LFS - Labour Market Survey
- [BA_538] LFS - Labour Force Survey
- [BA_582] LFS - Labour Force Sample Survey
- [BA_625] LFS - Labour Force Survey
- [BA_629] LFS - Labour Force Survey
- [BA_6651] LFS - Labour Force Survey
- [BA_673] LFS - Labour Force Survey
- [BA_7009] LFS - Labour Force Survey
- [BA_702] LFS - Labour Force Survey
- [BA_74] LFS - Continuous Employment Survey
- [BA_741] LFS - Labour Force Survey
- [BA_743] LFS - National Population and Employment Survey
- [BB_15690] HIES - Survey on Living Conditions
- [BB_15691] HIES - Survey on Living Conditions
- [BB_15893] HIES - Household 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_7019] HIES - Household Socio-Economic Survey
- [BB_704] HIES - Household Income and Expenditure Survey
- [BB_73] HIES - Household Survey
- [BX_15710] HS - Multi-Topic Household Survey
- [BX_3465] HS - Continuous household survey
- [BX_375] HS - National Household Survey
- [BX_461] HS - 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] (47)
Source [source] (56)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 168 series:
- from
- 2019=43,381.77
- to
- 2021=36,648.9
- min:
- 36,648.9
- max:
- 43,381.77
- avg:
- 40,015.335
- σ:
- 3,366.435
- from
- 2019=46,114.93
- to
- 2021=43,769.48
- min:
- 43,769.48
- max:
- 46,114.93
- avg:
- 44,942.205
- σ:
- 1,172.725
- from
- 2019=45,559.21
- to
- 2021=42,405.99
- min:
- 42,405.99
- max:
- 45,559.21
- avg:
- 43,982.6
- σ:
- 1,576.61
- from
- 2011=2,375.1
- to
- 2022=54,995.89
- min:
- 2,375.1
- max:
- 54,995.89
- avg:
- 16,347.191
- σ:
- 15,963.024
- from
- 2011=3,093.24
- to
- 2022=83,312.11
- min:
- 3,093.24
- max:
- 83,312.11
- avg:
- 24,275.664
- σ:
- 24,538.96
- from
- 2011=2,880.22
- to
- 2022=73,414.28
- min:
- 2,880.22
- max:
- 73,414.28
- avg:
- 21,737.911
- σ:
- 21,631.976
- from
- 2017=11,844.1
- to
- 2017=11,844.1
- min:
- 11,844.1
- max:
- 11,844.1
- avg:
- 11,844.1
- σ:
- 0
- from
- 2017=11,976.9
- to
- 2017=11,976.9
- min:
- 11,976.9
- max:
- 11,976.9
- avg:
- 11,976.9
- σ:
- 0
- from
- 2017=11,958.85
- to
- 2017=11,958.85
- min:
- 11,958.85
- max:
- 11,958.85
- avg:
- 11,958.85
- σ:
- 0
- from
- 2016=1,870.13
- to
- 2022=1,753.48
- min:
- 1,673.34
- max:
- 1,870.13
- avg:
- 1,780.662
- σ:
- 61.91
Series code | 2011 | 2012 | 2013 | 2014 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|
[AGO.BA_13951.SEX_F.A] | - | - | - | - | - | - | - | 43381.77 | - | 36648.9 | - |
[AGO.BA_13951.SEX_M.A] | - | - | - | - | - | - | - | 46114.93 | - | 43769.48 | - |
[AGO.BA_13951.SEX_T.A] | - | - | - | - | - | - | - | 45559.21 | - | 42405.99 | - |
[ARG.BA_150.SEX_F.A] | 2375.1 | 2947.14 | 3636.14 | 4847.74 | - | 10264.07 | 12287.96 | 16918.49 | 21321.75 | 33877.63 | 54995.89 |
[ARG.BA_150.SEX_M.A] | 3093.24 | 3812.23 | 5132.24 | 6451.94 | - | 13445.75 | 17035.08 | 23719.46 | 36860.65 | 49893.94 | 83312.11 |
[ARG.BA_150.SEX_T.A] | 2880.22 | 3550.28 | 4687.35 | 5975.21 | - | 12421.32 | 15466.02 | 21512.61 | 32437.5 | 45034.32 | 73414.28 |
[BGD.BA_673.SEX_F.A] | - | - | - | - | - | 11844.1 | - | - | - | - | - |
[BGD.BA_673.SEX_M.A] | - | - | - | - | - | 11976.9 | - | - | - | - | - |
[BGD.BA_673.SEX_T.A] | - | - | - | - | - | 11958.85 | - | - | - | - | - |
[BOL.BA_74.SEX_F.A] | - | - | - | - | 1870.13 | 1832.69 | 1778.67 | 1775.66 | - | 1673.34 | 1753.48 |
Showing results 1 - 10 / 168