ILOSTAT - Labour force survey — Share of employment in forestry and in Rwanda
Rwanda: ILOSTAT - Labour force survey — Share of employment in forestry and was 1.99 % in 2024. ▲ Rising
ILOSTAT - Labour force survey — Share of employment in forestry and in Rwanda, 2017–2024
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2024, ilostat - labour force survey — share of employment in forestry and in Rwanda stood at 1.99 %. That is the highest value across all 7 years on record.
The figure is up 13.1% on the previous year and up 48.5% over ten years.
That places Rwanda 42nd out of 71 countries with data for 2024, putting it in the middle of the range.
ILOSTAT - Labour force survey — Share of employment in forestry and in Rwanda, year by year
| Year | % | Change |
|---|---|---|
| 2017 | 1.34 % | — |
| 2018 | 1.29 % | -3.7% |
| 2020 | 1.12 % | -13.2% |
| 2021 | 0.91 % | -18.8% |
| 2022 | 0.92 % | +1.1% |
| 2023 | 1.76 % | +91.3% |
| 2024 | 1.99 % | +13.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.31 % | 1.29 % | 1.34 % | 2 |
| 2020s | 1.34 % | 0.91 % | 1.99 % | 5 |
Countries ranked near Rwanda
More environment data for Rwanda
- Historical exposure to drought — Land soil moisture anomaly -5.64 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.05 Percentage change (2025)
- Standard Deviation, annual growth rate -31.63 % change on previous year (2013)
- Standard Deviation 0.268 °C (2013)
- Temperature change 1.35 °C (2013)
- Paper and paperboard — Import quantity, annual growth rate 54.13 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0013 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 31.1 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is ilostat - labour force survey — share of employment in forestry and in Rwanda?
- Ilostat - labour force survey — share of employment in forestry and in Rwanda was 1.99 % in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ilostat - labour force survey — share of employment in forestry and recorded in Rwanda?
- The highest recorded value was 1.99 % in 2024.
- What is the lowest ilostat - labour force survey — share of employment in forestry and recorded in Rwanda?
- The lowest recorded value was 0.91 % in 2021.
- How does Rwanda rank for ilostat - labour force survey — share of employment in forestry and?
- Rwanda ranks 42nd out of 71 countries with data for 2024.
- Is ilostat - labour force survey — share of employment in forestry and rising or falling in Rwanda?
- Over the last ten years it is up 48.5%. The long-run trend across the full record is rising.
- 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 — Share of employment in forestry and logging — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 7 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.