ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Rwanda
Rwanda: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 21.97 No in 2024. ▬ Flat
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Rwanda, 2017–2024
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
The most recent figure for ilostat - labour force survey — mean weekly hours actually worked per in Rwanda is 21.97 No, measured in 2024.
Compared with earlier readings it is down 3.1% on the previous year and down 3.3% over ten years.
That places Rwanda 90th out of 91 countries with data for 2024, putting it in the bottom quarter.
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Rwanda, year by year
| Year | No | Change |
|---|---|---|
| 2017 | 22.71 No | — |
| 2018 | 23.17 No | +2.0% |
| 2019 | 22.28 No | -3.8% |
| 2020 | 22.48 No | +0.9% |
| 2021 | 20.87 No | -7.2% |
| 2022 | 21.66 No | +3.8% |
| 2023 | 22.68 No | +4.7% |
| 2024 | 21.97 No | -3.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 22.72 No | 22.28 No | 23.17 No | 3 |
| 2020s | 21.93 No | 20.87 No | 22.68 No | 5 |
Countries ranked near Rwanda
More agriculture & rural data for Rwanda
- Agriculture, forestry, and fishing, value added (current US$), annual 5.79 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.203 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 228.16 current US$ per person (2025)
- Rural population, annual growth rate 0.6953 % change on previous year (2025)
- Rural population, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Rural population, per capita 0.6909 units per person (2025)
- Share of GDP from agriculture 20.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 20.3% (2025)
- Agricultural raw materials exports 0.8% (2022)
- Agricultural raw materials imports 0.9% (2022)
Frequently asked questions
- What is ilostat - labour force survey — mean weekly hours actually worked per in Rwanda?
- Ilostat - labour force survey — mean weekly hours actually worked per in Rwanda was 21.97 No in 2024, 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 Rwanda?
- The highest recorded value was 23.17 No in 2018.
- What is the lowest ilostat - labour force survey — mean weekly hours actually worked per recorded in Rwanda?
- The lowest recorded value was 20.87 No in 2021.
- How does Rwanda rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Rwanda ranks 90th out of 91 countries with data for 2024.
- Is ilostat - labour force survey — mean weekly hours actually worked per rising or falling in Rwanda?
- Over the last ten years it is down 3.3%. The long-run trend across the full record is flat.
- Where does this Rwanda 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 — 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.