ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Mali
Mali: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 32.9 No in 2023. ▼ Falling
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Mali, 2013–2023
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
Mali recorded 32.9 No for ilostat - labour force survey — mean weekly hours actually worked per in 2023.
Compared with earlier readings it is down 4.6% over ten years.
Over the whole period, ilostat - labour force survey — mean weekly hours actually worked per in Mali peaked at 47.11 No in 2017 and was at its lowest, 20.1 No, in 2016.
That places Mali 61st out of 86 countries with data for 2023, putting it in the middle of the range.
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Mali, year by year
| Year | No | Change |
|---|---|---|
| 2013 | 34.5 No | — |
| 2014 | 44.33 No | +28.5% |
| 2015 | 38.04 No | -14.2% |
| 2016 | 20.1 No | -47.2% |
| 2017 | 47.11 No | +134.4% |
| 2018 | 40.12 No | -14.8% |
| 2023 | 32.9 No | -18.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 37.37 No | 20.1 No | 47.11 No | 6 |
| 2020s | 32.9 No | 32.9 No | 32.9 No | 1 |
Countries ranked near Mali
More agriculture & rural data for Mali
- Agriculture, forestry, and fishing, value added (current US$), annual 13.83 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.3302 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 394.01 current US$ per person (2025)
- Rural population, annual growth rate 2.03 % change on previous year (2025)
- Rural population, per unit of GDP 0.0006 units per US$ of GDP (2025)
- Rural population, per capita 0.6779 units per person (2025)
- Share of GDP from agriculture 33.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 33.0% (2025)
- Agricultural raw materials exports 8.4% (2023)
- Agricultural raw materials imports 0.4% (2023)
Frequently asked questions
- What is ilostat - labour force survey — mean weekly hours actually worked per in Mali?
- Ilostat - labour force survey — mean weekly hours actually worked per in Mali was 32.9 No in 2023, 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 Mali?
- The highest recorded value was 47.11 No in 2017.
- What is the lowest ilostat - labour force survey — mean weekly hours actually worked per recorded in Mali?
- The lowest recorded value was 20.1 No in 2016.
- How does Mali rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Mali ranks 61st out of 86 countries with data for 2023.
- Is ilostat - labour force survey — mean weekly hours actually worked per rising or falling in Mali?
- Over the last ten years it is down 4.6%. The long-run trend across the full record is falling.
- Where does this Mali 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.