ILOSTAT - Labour force survey — Employment in forestry and logging in Lithuania
Lithuania: ILOSTAT - Labour force survey — Employment in forestry and logging was 7.25 1000 No in 2024. ▼ Falling
ILOSTAT - Labour force survey — Employment in forestry and logging in Lithuania, 1998–2024
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 Lithuania stood at 7.25 1000 No.
The figure is down 20.3% on the previous year and down 47.3% over ten years.
Over the whole period, ilostat - labour force survey — employment in forestry and logging in Lithuania peaked at 14.24 1000 No in 2008 and was at its lowest, 6.91 1000 No, in 2002.
That places Lithuania 47th out of 76 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 27 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 13.02 1000 No | 12.89 1000 No | 13.14 1000 No | 2 |
| 2000s | 10.09 1000 No | 6.91 1000 No | 14.24 1000 No | 10 |
| 2010s | 11.89 1000 No | 7.95 1000 No | 13.77 1000 No | 10 |
| 2020s | 8.67 1000 No | 7.25 1000 No | 9.92 1000 No | 5 |
Countries ranked near Lithuania
More environment data for Lithuania
- Land area equipped for irrigation — Share in Cropland 0.3 % (2024)
- Land area equipped for irrigation — Area 7 1000 ha (2024)
- Inland waters — Area 269 1000 ha (2024)
- Permanent meadows and pastures — Share in Land area 8.44 % (2024)
- Permanent meadows and pastures — Share in Agricultural land 18.48 % (2024)
- Permanent meadows and pastures — Area 528 1000 ha (2024)
- Permanent crops — Share in Agricultural land 1.16 % (2024)
- Permanent crops — Area 33 1000 ha (2024)
- Arable land — Share in Agricultural land 80.36 % (2024)
- Arable land — Area 2,296 1000 ha (2024)
Frequently asked questions
- What is ilostat - labour force survey — employment in forestry and logging in Lithuania?
- Ilostat - labour force survey — employment in forestry and logging in Lithuania was 7.25 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 Lithuania?
- The highest recorded value was 14.24 1000 No in 2008.
- What is the lowest ilostat - labour force survey — employment in forestry and logging recorded in Lithuania?
- The lowest recorded value was 6.91 1000 No in 2002.
- How does Lithuania rank for ilostat - labour force survey — employment in forestry and logging?
- Lithuania ranks 47th out of 76 countries with data for 2024.
- Is ilostat - labour force survey — employment in forestry and logging rising or falling in Lithuania?
- Over the last ten years it is down 47.3%. The long-run trend across the full record is falling.
- Where does this Lithuania 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 — Value. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 27 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.