ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Bhutan
Bhutan: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 54.84 No in 2022. ▲ Rising
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Bhutan, 2018–2022
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
In 2022, ilostat - labour force survey — mean weekly hours actually worked per in Bhutan stood at 54.84 No. That is the highest value across all 5 years on record.
That represents a change of up 9.3% on the previous year and up 11.9% over five years.
Bhutan ranks 2nd of 86 countries on this measure, in the top 10%.
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Bhutan, year by year
| Year | No | Change |
|---|---|---|
| 2018 | 48.99 No | — |
| 2019 | 46.13 No | -5.8% |
| 2020 | 44.97 No | -2.5% |
| 2021 | 50.18 No | +11.6% |
| 2022 | 54.84 No | +9.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 47.56 No | 46.13 No | 48.99 No | 2 |
| 2020s | 50 No | 44.97 No | 54.84 No | 3 |
Countries ranked near Bhutan
- 1 Brunei Darussalam 54.96 No compare
- 1 Iran (Islamic Republic of) 40.56 No compare
- 2 Côte d'Ivoire 34.19 No
- 2 Viet Nam 39.03 No compare
- 3 India 47.94 No compare
- 3 Republic of Moldova 38.66 No compare
- 4 Costa Rica 46.95 No compare
- 4 Venezuela (Bolivarian Republic of) 37.8 No
- 5 Mongolia 46.57 No compare
- 5 Türkiye 37.77 No compare
More agriculture & rural data for Bhutan
- Agriculture, forestry, and fishing, value added (current US$), annual 3.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1368 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 614.64 current US$ per person (2025)
- Rural population, annual growth rate -0.8653 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.5657 units per person (2025)
- Share of GDP from agriculture 13.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.7% (2025)
- Agricultural raw materials exports 2.0% (2025)
- Agricultural raw materials imports 1.8% (2025)
Frequently asked questions
- What is ilostat - labour force survey — mean weekly hours actually worked per in Bhutan?
- Ilostat - labour force survey — mean weekly hours actually worked per in Bhutan was 54.84 No in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilostat - labour force survey — mean weekly hours actually worked per recorded in Bhutan?
- The highest recorded value was 54.84 No in 2022.
- What is the lowest ilostat - labour force survey — mean weekly hours actually worked per recorded in Bhutan?
- The lowest recorded value was 44.97 No in 2020.
- How does Bhutan rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Bhutan ranks 2nd out of 86 countries with data for 2022.
- Where does this Bhutan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of ILOSTAT - Labour force survey — Mean weekly hours actually worked per employee in agriculture — Female — Value. Statizoid updates them automatically from the source API.
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About this data
The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.