Tree cover loss from wildfires in Lithuania
Lithuania: Tree cover loss from wildfires was 7.28 in 2024. ◆ Volatile
Tree cover loss from wildfires in Lithuania, 2001–2024
Source: Our World in Data.
Analysis
Lithuania recorded 7.28 for tree cover loss from wildfires in 2024.
That represents a change of down 94.5% on the previous year and up 48.8% over ten years.
Over the whole period, tree cover loss from wildfires in Lithuania peaked at 133.01 in 2023 and was at its lowest, 0.4477, in 2001.
That places Lithuania 121st out of 152 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Tree cover loss from wildfires in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 2001 | 0.4477 | — |
| 2002 | 2.6 | +479.7% |
| 2004 | 1.54 | -40.8% |
| 2005 | 1.84 | +19.7% |
| 2006 | 114.51 | +6124.6% |
| 2007 | 33.89 | -70.4% |
| 2008 | 22.12 | -34.7% |
| 2009 | 0.7051 | -96.8% |
| 2010 | 4.32 | +512.6% |
| 2011 | 19.26 | +345.8% |
| 2012 | 0.4804 | -97.5% |
| 2013 | 2.22 | +362.4% |
| 2014 | 4.9 | +120.4% |
| 2015 | 1.11 | -77.3% |
| 2016 | 4.08 | +267.7% |
| 2017 | 14.38 | +252.2% |
| 2018 | 8.33 | -42.1% |
| 2019 | 12.71 | +52.6% |
| 2020 | 4.69 | -63.1% |
| 2021 | 0.6263 | -86.6% |
| 2022 | 5.21 | +731.7% |
| 2023 | 133.01 | +2453.4% |
| 2024 | 7.28 | -94.5% |
Lithuania compared with similar countries
- Lithuania's 7.28 is below the median for high income countries, which is 152.21, 5% of the median. (46 countries reporting)
- Lithuania's 7.28 is below the median for Europe & Central Asia, which is 70.29, 10% of the median. (45 countries reporting)
Biggest year-on-year movements
Years where Tree cover loss from wildfires 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 |
|---|---|---|---|
| 2006 | +6124.6% | 1.84 | 114.51 |
| 2023 | +2453.4% | 5.21 | 133.01 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 22.21 | 0.4477 | 114.51 | 8 |
| 2010s | 7.18 | 0.4804 | 19.26 | 10 |
| 2020s | 30.16 | 0.6263 | 133.01 | 5 |
Countries ranked near Lithuania
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 from wildfires in Lithuania?
- Tree cover loss from wildfires in Lithuania was 7.28 in 2024, according to Our World in Data.
- What is the highest tree cover loss from wildfires recorded in Lithuania?
- The highest recorded value was 133.01 in 2023.
- What is the lowest tree cover loss from wildfires recorded in Lithuania?
- The lowest recorded value was 0.4477 in 2001.
- How does Lithuania rank for tree cover loss from wildfires?
- Lithuania ranks 121st out of 152 countries with data for 2024.
- Is tree cover loss from wildfires rising or falling in Lithuania?
- Over the last ten years it is up 48.8%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Our World in Data, published as part of Tree cover loss from wildfires. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under CC BY 4.0 (Our World in Data).