Tree cover loss by dominant driver, per unit of GDP in Lithuania
Lithuania: Tree cover loss by dominant driver, per unit of GDP was 0 hectares per US$ of GDP in 2024. ▼ Falling
Tree cover loss by dominant driver, per unit of GDP in Lithuania, 2001–2024
Source: Statizoid (derived). Measured in hectares per US$ of GDP.
Analysis
In 2024, tree cover loss by dominant driver, per unit of gdp in Lithuania stood at 0 hectares per US$ of GDP.
The figure is up 64.9% on the previous year and down 34.6% over ten years.
Over the whole period, tree cover loss by dominant driver, per unit of gdp in Lithuania peaked at 0 hectares per US$ of GDP in 2006 and was at its lowest, 0 hectares per US$ of GDP, in 2013.
Lithuania ranks 100th of 173 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 24 years of available data.
Tree cover loss by dominant driver, per unit of GDP in Lithuania, year by year
| Year | hectares per US$ of GDP | Change |
|---|---|---|
| 2001 | 0 hectares per US$ of GDP | — |
| 2002 | 0 hectares per US$ of GDP | -49.1% |
| 2003 | 0 hectares per US$ of GDP | +22.0% |
| 2004 | 0 hectares per US$ of GDP | -5.4% |
| 2005 | 0 hectares per US$ of GDP | +114.9% |
| 2006 | 0 hectares per US$ of GDP | +20.7% |
| 2007 | 0 hectares per US$ of GDP | -49.5% |
| 2008 | 0 hectares per US$ of GDP | +11.5% |
| 2009 | 0 hectares per US$ of GDP | -33.8% |
| 2010 | 0 hectares per US$ of GDP | +57.3% |
| 2011 | 0 hectares per US$ of GDP | -27.7% |
| 2012 | 0 hectares per US$ of GDP | +20.7% |
| 2013 | 0 hectares per US$ of GDP | -74.5% |
| 2014 | 0 hectares per US$ of GDP | +297.7% |
| 2015 | 0 hectares per US$ of GDP | -20.6% |
| 2016 | 0 hectares per US$ of GDP | +80.1% |
| 2017 | 0 hectares per US$ of GDP | -30.1% |
| 2018 | 0 hectares per US$ of GDP | -28.8% |
| 2019 | 0 hectares per US$ of GDP | +17.6% |
| 2020 | 0 hectares per US$ of GDP | +2.2% |
| 2021 | 0 hectares per US$ of GDP | -25.5% |
| 2022 | 0 hectares per US$ of GDP | -19.7% |
| 2023 | 0 hectares per US$ of GDP | -22.5% |
| 2024 | 0 hectares per US$ of GDP | +64.9% |
Lithuania compared with similar countries
- Lithuania's 0 hectares per US$ of GDP is above the median for high income countries, which is 0 hectares per US$ of GDP, 1.4× the median. (61 countries reporting)
- Lithuania's 0 hectares per US$ of GDP is above the median for Europe & Central Asia, which is 0 hectares per US$ of GDP, 2.6× the median. (49 countries reporting)
Biggest year-on-year movements
Years where Tree cover loss by dominant driver, per unit of GDP in Lithuania changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2014 | +297.7% | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 9 |
| 2010s | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 10 |
| 2020s | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 0 hectares per US$ of GDP | 5 |
Countries ranked near Lithuania
- 97 Serbia 0 hectares per US$ of GDP compare
- 98 Puerto Rico 0 hectares per US$ of GDP compare
- 99 South Sudan 0 hectares per US$ of GDP compare
- 101 Costa Rica 0 hectares per US$ of GDP compare
- 102 Venezuela 0 hectares per US$ of GDP compare
- 103 Uruguay 0 hectares per US$ of GDP compare
More reference data data for Lithuania
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2893 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1106 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1208 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.9699 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.6729 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5859 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 5.41 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.6578 (2050)
Frequently asked questions
- What is tree cover loss by dominant driver, per unit of gdp in Lithuania?
- Tree cover loss by dominant driver, per unit of gdp in Lithuania was 0 hectares per US$ of GDP in 2024, according to Statizoid (derived).
- What is the highest tree cover loss by dominant driver, per unit of gdp recorded in Lithuania?
- The highest recorded value was 0 hectares per US$ of GDP in 2006.
- What is the lowest tree cover loss by dominant driver, per unit of gdp recorded in Lithuania?
- The lowest recorded value was 0 hectares per US$ of GDP in 2013.
- How does Lithuania rank for tree cover loss by dominant driver, per unit of gdp?
- Lithuania ranks 100th out of 173 countries with data for 2024.
- Is tree cover loss by dominant driver, per unit of gdp rising or falling in Lithuania?
- Over the last ten years it is down 34.6%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from Statizoid (derived), published as part of Tree cover loss by dominant driver, per unit of GDP. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Tree cover loss by dominant driver divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Tree cover loss by dominant driver ÷ GDP (current US$)
Computed from
- Tree cover loss by dominant driver Global Forest Watch (2025) – with major processing by Our World in Data
- 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
Tree cover loss by dominant driver divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.