ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Angola
Angola: ILOSTAT - Labour force survey — Mean weekly hours actually worked per was 38.11 No in 2024. ▬ Flat
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Angola, 2019–2024
Source: Food and Agriculture Organization of the United Nations. Measured in No.
Analysis
Angola recorded 38.11 No for ilostat - labour force survey — mean weekly hours actually worked per in 2024. That is the highest value across all 6 years on record.
That represents a change of up 0.5% on the previous year and up 4.8% over ten years.
Angola ranks 70th of 90 countries on this measure, in the bottom quarter.
ILOSTAT - Labour force survey — Mean weekly hours actually worked per in Angola, year by year
| Year | No | Change |
|---|---|---|
| 2019 | 36.35 No | — |
| 2020 | 37.67 No | +3.6% |
| 2021 | 37.68 No | +0.0% |
| 2022 | 37.47 No | -0.6% |
| 2023 | 37.92 No | +1.2% |
| 2024 | 38.11 No | +0.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 36.35 No | 36.35 No | 36.35 No | 1 |
| 2020s | 37.77 No | 37.47 No | 38.11 No | 5 |
Countries ranked near Angola
More agriculture & rural data for Angola
- Agriculture, forestry, and fishing, value added (current US$), annual 38.81 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2524 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 789.91 current US$ per person (2025)
- Rural population, annual growth rate 0.2141 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.2854 units per person (2025)
- Share of GDP from agriculture 25.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 25.2% (2025)
- Agricultural raw materials exports 0.0% (2024)
- Agricultural raw materials imports 0.6% (2024)
Frequently asked questions
- What is ilostat - labour force survey — mean weekly hours actually worked per in Angola?
- Ilostat - labour force survey — mean weekly hours actually worked per in Angola was 38.11 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 Angola?
- The highest recorded value was 38.11 No in 2024.
- What is the lowest ilostat - labour force survey — mean weekly hours actually worked per recorded in Angola?
- The lowest recorded value was 36.35 No in 2019.
- How does Angola rank for ilostat - labour force survey — mean weekly hours actually worked per?
- Angola ranks 70th out of 90 countries with data for 2024.
- Is ilostat - labour force survey — mean weekly hours actually worked per rising or falling in Angola?
- Over the last ten years it is up 4.8%. The long-run trend across the full record is flat.
- Where does this Angola 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
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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.