ILOSTAT - Labour force survey — Employment in forestry and logging in Angola
Angola: ILOSTAT - Labour force survey — Employment in forestry and logging was 3.64 1000 No in 2024. ▲ Rising
ILOSTAT - Labour force survey — Employment in forestry and logging in Angola, 2019–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.
Analysis
In 2024, ilostat - labour force survey — employment in forestry and logging in Angola stood at 3.64 1000 No. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 130.4% on the previous year and up 43.9% over ten years.
Angola ranks 24th of 56 countries on this measure, in the middle of the range.
ILOSTAT - Labour force survey — Employment in forestry and logging in Angola, year by year
| Year | 1000 No | Change |
|---|---|---|
| 2019 | 2.53 1000 No | — |
| 2020 | 1.74 1000 No | -31.2% |
| 2021 | 1.35 1000 No | -22.4% |
| 2022 | 1.58 1000 No | +17.0% |
| 2024 | 3.64 1000 No | +130.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2.53 1000 No | 2.53 1000 No | 2.53 1000 No | 1 |
| 2020s | 2.08 1000 No | 1.35 1000 No | 3.64 1000 No | 4 |
Countries ranked near Angola
More environment data for Angola
- Historical exposure to drought — Land soil moisture anomaly -2.86 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.076 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.211 °C (2025)
- Temperature change 0.971 °C (2025)
- Graphic papers — Import quantity, annual growth rate 8.03 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.0006 t per person (2024)
- Graphic papers — Import value, annual growth rate -13.93 % change on previous year (2024)
- Graphic papers — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is ilostat - labour force survey — employment in forestry and logging in Angola?
- Ilostat - labour force survey — employment in forestry and logging in Angola was 3.64 1000 No in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilostat - labour force survey — employment in forestry and logging recorded in Angola?
- The highest recorded value was 3.64 1000 No in 2024.
- What is the lowest ilostat - labour force survey — employment in forestry and logging recorded in Angola?
- The lowest recorded value was 1.35 1000 No in 2021.
- How does Angola rank for ilostat - labour force survey — employment in forestry and logging?
- Angola ranks 24th out of 56 countries with data for 2024.
- Is ilostat - labour force survey — employment in forestry and logging rising or falling in Angola?
- Over the last ten years it is up 43.9%. The long-run trend across the full record is rising.
- 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 — Employment in forestry and logging — Female — 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.