ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Bhutan
Bhutan: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 54.23 No in 2022. ▬ Flat
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
Bhutan recorded 54.23 No for ilostat - labour force survey — mean weekly hours actually worked per in 2022. That is the highest value across all 5 years on record.
The figure is up 5.0% on the previous year and up 3.4% over five years.
Bhutan ranks 3rd of 90 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 | 52.47 No | — |
| 2019 | 52.95 No | +0.9% |
| 2020 | 50.3 No | -5.0% |
| 2021 | 51.67 No | +2.7% |
| 2022 | 54.23 No | +5.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 52.71 No | 52.47 No | 52.95 No | 2 |
| 2020s | 52.07 No | 50.3 No | 54.23 No | 3 |
Countries ranked near Bhutan
- 1 United Arab Emirates 56.77 No compare
- 2 Iceland 54.45 No compare
- 3 Türkiye 40.57 No compare
- 4 Mongolia 54.14 No compare
- 5 United Kingdom of Great Britain and Northern Ireland 50.59 No compare
- 6 China, Hong Kong SAR 50.3 No
- 6 Viet Nam 35.16 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 54.23 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 54.23 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 50.3 No in 2020.
- How does Bhutan rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Bhutan ranks 3rd out of 90 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 employed person in agriculture — Male — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.