[EAR_TOUR_SEX_NB] Mean nominal monthly earnings of tourism sector employees
Retrieved by 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:
[AGO.BA_13951.SEX_F.A] Angola – LFS - Employment Survey – Sex: Female – Annual
- 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
[AGO.BA_13951.SEX_M.A] Angola – LFS - Employment Survey – Sex: Male – Annual
- 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
[AGO.BA_13951.SEX_T.A] Angola – LFS - Employment Survey – Sex: Total – Annual
- 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
[ARG.BA_150.SEX_F.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Female – Annual
- 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
[ARG.BA_150.SEX_M.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Male – Annual
- 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
[ARG.BA_150.SEX_T.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Total – Annual
- 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
[BGD.BA_673.SEX_F.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Female – Annual
- from
- 2017=11,844.1
- to
- 2017=11,844.1
- min:
- 11,844.1
- max:
- 11,844.1
- avg:
- 11,844.1
- σ:
- 0
[BGD.BA_673.SEX_M.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Male – Annual
- from
- 2017=11,976.9
- to
- 2017=11,976.9
- min:
- 11,976.9
- max:
- 11,976.9
- avg:
- 11,976.9
- σ:
- 0
[BGD.BA_673.SEX_T.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Total – Annual
- from
- 2017=11,958.85
- to
- 2017=11,958.85
- min:
- 11,958.85
- max:
- 11,958.85
- avg:
- 11,958.85
- σ:
- 0
[BOL.BA_74.SEX_F.A] Bolivia – LFS - Continuous Employment Survey – Sex: Female – Annual
- 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 |
Loading chart
Search filters
Reference area [ref_area] (47)
Source [source] (56)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 168 series:
[AGO.BA_13951.SEX_F.A] Angola – LFS - Employment Survey – Sex: Female – Annual
- 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
[AGO.BA_13951.SEX_M.A] Angola – LFS - Employment Survey – Sex: Male – Annual
- 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
[AGO.BA_13951.SEX_T.A] Angola – LFS - Employment Survey – Sex: Total – Annual
- 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
[ARG.BA_150.SEX_F.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Female – Annual
- 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
[ARG.BA_150.SEX_M.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Male – Annual
- 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
[ARG.BA_150.SEX_T.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Total – Annual
- 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
[BGD.BA_673.SEX_F.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Female – Annual
- from
- 2017=11,844.1
- to
- 2017=11,844.1
- min:
- 11,844.1
- max:
- 11,844.1
- avg:
- 11,844.1
- σ:
- 0
[BGD.BA_673.SEX_M.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Male – Annual
- from
- 2017=11,976.9
- to
- 2017=11,976.9
- min:
- 11,976.9
- max:
- 11,976.9
- avg:
- 11,976.9
- σ:
- 0
[BGD.BA_673.SEX_T.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Total – Annual
- from
- 2017=11,958.85
- to
- 2017=11,958.85
- min:
- 11,958.85
- max:
- 11,958.85
- avg:
- 11,958.85
- σ:
- 0
[BOL.BA_74.SEX_F.A] Bolivia – LFS - Continuous Employment Survey – Sex: Female – Annual
- 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 |
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