Forestland — Area, per unit of GDP in Lithuania
Lithuania: Forestland — Area, per unit of GDP was 0 1000 ha per US$ of GDP in 2025. ◆ Volatile
Forestland — Area, per unit of GDP in Lithuania, 1995–2025
Source: Statizoid (derived). Measured in 1000 ha per US$ of GDP.
Analysis
The most recent figure for forestland — area, per unit of gdp in Lithuania is 0 1000 ha per US$ of GDP, measured in 2025. That is the lowest value across all 31 years on record.
The figure is down 10.1% on the previous year and down 55.8% over ten years.
Over the whole period, forestland — area, per unit of gdp in Lithuania peaked at 0 1000 ha per US$ of GDP in 1995 and was at its lowest, 0 1000 ha per US$ of GDP, in 2025.
Lithuania ranks 101st of 187 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Forestland — Area, per unit of GDP in Lithuania, year by year
| Year | 1000 ha per US$ of GDP | Change |
|---|---|---|
| 1995 | 0 1000 ha per US$ of GDP | — |
| 1996 | 0 1000 ha per US$ of GDP | -5.7% |
| 1997 | 0 1000 ha per US$ of GDP | -16.8% |
| 1998 | 0 1000 ha per US$ of GDP | -9.6% |
| 1999 | 0 1000 ha per US$ of GDP | +2.8% |
| 2000 | 0 1000 ha per US$ of GDP | -4.2% |
| 2001 | 0 1000 ha per US$ of GDP | -5.1% |
| 2002 | 0 1000 ha per US$ of GDP | -13.5% |
| 2003 | 0 1000 ha per US$ of GDP | -23.5% |
| 2004 | 0 1000 ha per US$ of GDP | -16.7% |
| 2005 | 0 1000 ha per US$ of GDP | -12.3% |
| 2006 | 0 1000 ha per US$ of GDP | -12.7% |
| 2007 | 0 1000 ha per US$ of GDP | -23.7% |
| 2008 | 0 1000 ha per US$ of GDP | -16.4% |
| 2009 | 0 1000 ha per US$ of GDP | +28.5% |
| 2010 | 0 1000 ha per US$ of GDP | +3.0% |
| 2011 | 0 1000 ha per US$ of GDP | -15.0% |
| 2012 | 0 1000 ha per US$ of GDP | +1.3% |
| 2013 | 0 1000 ha per US$ of GDP | -7.6% |
| 2014 | 0 1000 ha per US$ of GDP | -4.0% |
| 2015 | 0 1000 ha per US$ of GDP | +16.5% |
| 2016 | 0 1000 ha per US$ of GDP | -3.2% |
| 2017 | 0 1000 ha per US$ of GDP | -9.9% |
| 2018 | 0 1000 ha per US$ of GDP | -11.9% |
| 2019 | 0 1000 ha per US$ of GDP | -1.4% |
| 2020 | 0 1000 ha per US$ of GDP | -3.9% |
| 2021 | 0 1000 ha per US$ of GDP | -14.3% |
| 2022 | 0 1000 ha per US$ of GDP | -4.9% |
| 2023 | 0 1000 ha per US$ of GDP | -12.0% |
| 2024 | 0 1000 ha per US$ of GDP | -5.9% |
| 2025 | 0 1000 ha per US$ of GDP | -10.1% |
Lithuania compared with similar countries
- Lithuania's 0 1000 ha per US$ of GDP is above the median for high income countries, which is 0 1000 ha per US$ of GDP, 4.1× the median. (73 countries reporting)
- Lithuania's 0 1000 ha per US$ of GDP is above the median for Europe & Central Asia, which is 0 1000 ha per US$ of GDP, 1.9× the median. (50 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 5 |
| 2000s | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 10 |
| 2010s | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 10 |
| 2020s | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 0 1000 ha per US$ of GDP | 6 |
Countries ranked near Lithuania
- 98 Tajikistan 0 1000 ha per US$ of GDP compare
- 99 Uruguay 0 1000 ha per US$ of GDP compare
- 100 French Polynesia 0 1000 ha per US$ of GDP compare
- 102 Norway 0 1000 ha per US$ of GDP compare
- 103 Saint Vincent and the Grenadines 0 1000 ha per US$ of GDP compare
- 104 Northern Mariana Islands 0 1000 ha per US$ of GDP compare
More climate change data for Lithuania
- Nutrient nitrogen N (total) — Synthetic fertilizers (Agricultural) 120.73 million kg (2050)
- Emissions from livestock — Emissions (CO2eq) 2,997 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 590.61 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 2,407 kt (2050)
- Emissions from livestock — Emissions 2.23 kt (2050)
- Emissions from livestock — Emissions 85.96 kt (2050)
- Emissions from crops — Emissions (CO2eq) 854.17 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 843.18 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 11 kt (2050)
- Emissions from crops — Emissions 3.18 kt (2050)
Frequently asked questions
- What is forestland — area, per unit of gdp in Lithuania?
- Forestland — area, per unit of gdp in Lithuania was 0 1000 ha per US$ of GDP in 2025, according to Statizoid (derived).
- What is the highest forestland — area, per unit of gdp recorded in Lithuania?
- The highest recorded value was 0 1000 ha per US$ of GDP in 1995.
- What is the lowest forestland — area, per unit of gdp recorded in Lithuania?
- The lowest recorded value was 0 1000 ha per US$ of GDP in 2025.
- How does Lithuania rank for forestland — area, per unit of gdp?
- Lithuania ranks 101st out of 187 countries with data for 2025.
- Is forestland — area, per unit of gdp rising or falling in Lithuania?
- Over the last ten years it is down 55.8%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Forestland — Area, per unit of GDP. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 31 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Forestland — Area divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Forestland — Area ÷ GDP (current US$)
Computed from
- Forestland — Area Food and Agriculture Organization of the United Nations
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Forestland — Area divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.