[EMP_TNIF_SEX_RT] Informal tourism sector employment rate (%)
Retrieved by DBnomics on February 12, 2024 (4:24 AM).
[ref_area] Reference area
[AFG] Afghanistan
[AGO] Angola
[ARG] Argentina
[BGD] Bangladesh
[BOL] Bolivia
[BRA] Brazil
[BRB] Barbados
[BRN] Brunei Darussalam
[BWA] Botswana
[COK] Cook Islands
[COL] Colombia
[CRI] Costa Rica
[DOM] Dominican Republic
[ECU] Ecuador
[EGY] Egypt
[ETH] Ethiopia
[FJI] Fiji
[GHA] Ghana
[GMB] Gambia
[GNB] Guinea-Bissau
[GRD] Grenada
[GUY] Guyana
[IND] India
[IRQ] Iraq
[KEN] Kenya
[KHM] Cambodia
[LAO] Lao People's Democratic Republic
[LBN] Lebanon
[LKA] Sri Lanka
[MDV] Maldives
[MHL] Marshall Islands
[MMR] Myanmar
[MNG] Mongolia
[NAM] Namibia
[NGA] Nigeria
[NPL] Nepal
[NRU] Nauru
[PAK] Pakistan
[PAN] Panama
[PER] Peru
[RWA] Rwanda
[SDN] Sudan
[SEN] Senegal
[SLV] El Salvador
[SUR] Suriname
[SWZ] Eswatini
[SYC] Seychelles
[THA] Thailand
[TLS] Timor-Leste
[TON] Tonga
[TUN] Tunisia
[TUV] Tuvalu
[TZA] Tanzania, United Republic of
[UGA] Uganda
[URY] Uruguay
[VNM] Viet Nam
[VUT] Vanuatu
[WLF] Wallis and Futuna Islands
[WSM] Samoa
[ZMB] Zambia
[source] Source
[AA_1406] PC - Population Census
[AA_1513] PC - Population Census
[AA_1732] PC - Population Census
[BA_1126] LFS - National Labor Force Survey
[BA_1135] LFS - Employment, Unemployment Survey
[BA_1163] LFS - Labour Force Survey
[BA_1193] LFS - Labour Force Survey
[BA_1214] LFS - Labour Force Survey
[BA_12883] LFS - Continuous Employment 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_15635] LFS - Integrated Regional Survey on Employment and Informal Sector
[BA_15665] LFS - Labour Force Survey
[BA_15715] LFS - Labour Force Survey
[BA_1590] LFS - Labour Force Survey
[BA_1603] LFS - Labor Market Panel Survey
[BA_16073] LFS - Labour Force 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_2524] LFS - Labour Force Survey
[BA_3050] LFS - Labour Force Survey
[BA_348] LFS - Continous Household 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_6651] LFS - Labour Force Survey
[BA_673] LFS - Labour Force Survey
[BA_7009] LFS - Labour Force Survey
[BA_7014] LFS - Labour Force Survey
[BA_702] LFS - Labour Force Survey
[BA_74] LFS - Continuous Employment Survey
[BA_743] LFS - National Population and Employment Survey
[BA_8230] LFS - Labour Force Survey
[BA_8313] LFS - Unemployment, Under-employment Watch
[BB_15632] HIES - Household Income and Expenditure Survey
[BB_15690] HIES - Survey on Living Conditions
[BB_15691] HIES - Survey on Living Conditions
[BB_16119] HIES - Household Income and Expenditure Survey
[BB_16123] HIES - Household Income and Expenditure Survey
[BB_268] HIES - National Household Survey
[BB_704] HIES - Household Income and Expenditure Survey
[BB_73] HIES - Household Survey
[BX_14100] HS - Informal Employment Survey
[BX_15710] HS - Multi-Topic Household Survey
[BX_2228] HS - National Sample 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] (60)
Source [source] (64)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 192 series:
[AFG.BA_15715.SEX_F.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Female – Annual
- from
- 2021=100
- to
- 2021=100
- min:
- 100
- max:
- 100
- avg:
- 100
- σ:
- 0
[AFG.BA_15715.SEX_M.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Male – Annual
- from
- 2021=75.753
- to
- 2021=75.753
- min:
- 75.753
- max:
- 75.753
- avg:
- 75.753
- σ:
- 0
[AFG.BA_15715.SEX_T.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Total – Annual
- from
- 2021=76.152
- to
- 2021=76.152
- min:
- 76.152
- max:
- 76.152
- avg:
- 76.152
- σ:
- 0
[AGO.BA_13951.SEX_F.A] Angola – LFS - Employment Survey – Sex: Female – Annual
- from
- 2019=76.992
- to
- 2021=87.967
- min:
- 76.992
- max:
- 87.967
- avg:
- 82.48
- σ:
- 5.487
[AGO.BA_13951.SEX_M.A] Angola – LFS - Employment Survey – Sex: Male – Annual
- from
- 2019=86.734
- to
- 2021=92.624
- min:
- 86.734
- max:
- 92.624
- avg:
- 89.679
- σ:
- 2.945
[AGO.BA_13951.SEX_T.A] Angola – LFS - Employment Survey – Sex: Total – Annual
- from
- 2019=85.087
- to
- 2021=92.052
- min:
- 85.087
- max:
- 92.052
- avg:
- 88.57
- σ:
- 3.483
[ARG.BA_150.SEX_F.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Female – Annual
- from
- 2011=61.408
- to
- 2022=60.149
- min:
- 53.624
- max:
- 64.62
- avg:
- 60.461
- σ:
- 3.35
[ARG.BA_150.SEX_M.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Male – Annual
- from
- 2011=52.56
- to
- 2022=58.098
- min:
- 50.957
- max:
- 58.098
- avg:
- 54.733
- σ:
- 2.19
[ARG.BA_150.SEX_T.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Total – Annual
- from
- 2011=55.258
- to
- 2022=58.77
- min:
- 54.002
- max:
- 58.77
- avg:
- 56.528
- σ:
- 1.816
[BGD.BA_673.SEX_F.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Female – Annual
- from
- 2017=96.113
- to
- 2017=96.113
- min:
- 96.113
- max:
- 96.113
- avg:
- 96.113
- σ:
- 0
| Series code | 2011 | 2012 | 2013 | 2014 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.BA_15715.SEX_F.A] | - | - | - | - | - | - | - | - | 100 | - |
| [AFG.BA_15715.SEX_M.A] | - | - | - | - | - | - | - | - | 75.753 | - |
| [AFG.BA_15715.SEX_T.A] | - | - | - | - | - | - | - | - | 76.152 | - |
| [AGO.BA_13951.SEX_F.A] | - | - | - | - | - | - | 76.992 | - | 87.967 | - |
| [AGO.BA_13951.SEX_M.A] | - | - | - | - | - | - | 86.734 | - | 92.624 | - |
| [AGO.BA_13951.SEX_T.A] | - | - | - | - | - | - | 85.087 | - | 92.052 | - |
| [ARG.BA_150.SEX_F.A] | 61.408 | 53.624 | 55.274 | 60.254 | 60.48 | 63.482 | 61.814 | 63.509 | 64.62 | 60.149 |
| [ARG.BA_150.SEX_M.A] | 52.56 | 55.259 | 53.439 | 52.686 | 56.416 | 56.372 | 57.154 | 50.957 | 54.387 | 58.098 |
| [ARG.BA_150.SEX_T.A] | 55.258 | 54.753 | 54.002 | 55.078 | 57.723 | 58.654 | 58.649 | 54.776 | 57.618 | 58.77 |
| [BGD.BA_673.SEX_F.A] | - | - | - | - | 96.113 | - | - | - | - | - |
Loading chart
Search filters
Reference area [ref_area] (60)
Source [source] (64)
Sex [sex] (3)
Frequency [frequency] (1)
This dataset has 192 series:
[AFG.BA_15715.SEX_F.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Female – Annual
- from
- 2021=100
- to
- 2021=100
- min:
- 100
- max:
- 100
- avg:
- 100
- σ:
- 0
[AFG.BA_15715.SEX_M.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Male – Annual
- from
- 2021=75.753
- to
- 2021=75.753
- min:
- 75.753
- max:
- 75.753
- avg:
- 75.753
- σ:
- 0
[AFG.BA_15715.SEX_T.A] Afghanistan – LFS - Labour Force Survey (BA_15715) – Sex: Total – Annual
- from
- 2021=76.152
- to
- 2021=76.152
- min:
- 76.152
- max:
- 76.152
- avg:
- 76.152
- σ:
- 0
[AGO.BA_13951.SEX_F.A] Angola – LFS - Employment Survey – Sex: Female – Annual
- from
- 2019=76.992
- to
- 2021=87.967
- min:
- 76.992
- max:
- 87.967
- avg:
- 82.48
- σ:
- 5.487
[AGO.BA_13951.SEX_M.A] Angola – LFS - Employment Survey – Sex: Male – Annual
- from
- 2019=86.734
- to
- 2021=92.624
- min:
- 86.734
- max:
- 92.624
- avg:
- 89.679
- σ:
- 2.945
[AGO.BA_13951.SEX_T.A] Angola – LFS - Employment Survey – Sex: Total – Annual
- from
- 2019=85.087
- to
- 2021=92.052
- min:
- 85.087
- max:
- 92.052
- avg:
- 88.57
- σ:
- 3.483
[ARG.BA_150.SEX_F.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Female – Annual
- from
- 2011=61.408
- to
- 2022=60.149
- min:
- 53.624
- max:
- 64.62
- avg:
- 60.461
- σ:
- 3.35
[ARG.BA_150.SEX_M.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Male – Annual
- from
- 2011=52.56
- to
- 2022=58.098
- min:
- 50.957
- max:
- 58.098
- avg:
- 54.733
- σ:
- 2.19
[ARG.BA_150.SEX_T.A] Argentina – LFS - Permanent Household Survey, Urban – Sex: Total – Annual
- from
- 2011=55.258
- to
- 2022=58.77
- min:
- 54.002
- max:
- 58.77
- avg:
- 56.528
- σ:
- 1.816
[BGD.BA_673.SEX_F.A] Bangladesh – LFS - Labour Force Survey (BA_673) – Sex: Female – Annual
- from
- 2017=96.113
- to
- 2017=96.113
- min:
- 96.113
- max:
- 96.113
- avg:
- 96.113
- σ:
- 0
| Series code | 2011 | 2012 | 2013 | 2014 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|
| [AFG.BA_15715.SEX_F.A] | - | - | - | - | - | - | - | - | 100 | - |
| [AFG.BA_15715.SEX_M.A] | - | - | - | - | - | - | - | - | 75.753 | - |
| [AFG.BA_15715.SEX_T.A] | - | - | - | - | - | - | - | - | 76.152 | - |
| [AGO.BA_13951.SEX_F.A] | - | - | - | - | - | - | 76.992 | - | 87.967 | - |
| [AGO.BA_13951.SEX_M.A] | - | - | - | - | - | - | 86.734 | - | 92.624 | - |
| [AGO.BA_13951.SEX_T.A] | - | - | - | - | - | - | 85.087 | - | 92.052 | - |
| [ARG.BA_150.SEX_F.A] | 61.408 | 53.624 | 55.274 | 60.254 | 60.48 | 63.482 | 61.814 | 63.509 | 64.62 | 60.149 |
| [ARG.BA_150.SEX_M.A] | 52.56 | 55.259 | 53.439 | 52.686 | 56.416 | 56.372 | 57.154 | 50.957 | 54.387 | 58.098 |
| [ARG.BA_150.SEX_T.A] | 55.258 | 54.753 | 54.002 | 55.078 | 57.723 | 58.654 | 58.649 | 54.776 | 57.618 | 58.77 |
| [BGD.BA_673.SEX_F.A] | - | - | - | - | 96.113 | - | - | - | - | - |
Loading chart