Greenhouse gas emissions - Regions — GHG emissions from buildings in Lithuania
Lithuania: Greenhouse gas emissions - Regions — GHG emissions from buildings was 1.30 million Tonnes of CO2-equivalent in 2023. ◆ Volatile
Greenhouse gas emissions - Regions — GHG emissions from buildings in Lithuania, 1970–2023
Source: Organisation for Economic Co-operation and Development. Measured in Tonnes of CO2-equivalent.
Analysis
The most recent figure for greenhouse gas emissions - regions — ghg emissions from buildings in Lithuania is 1.30 million Tonnes of CO2-equivalent, measured in 2023.
Compared with earlier readings it is down 8.8% on the previous year and down 16.5% over ten years.
Over the whole period, greenhouse gas emissions - regions — ghg emissions from buildings in Lithuania peaked at 8.21 million Tonnes of CO2-equivalent in 1988 and was at its lowest, 1.23 million Tonnes of CO2-equivalent, in 2001.
Lithuania ranks 42nd of 47 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Greenhouse gas emissions - Regions — GHG emissions from buildings in Lithuania, year by year
| Year | Tonnes of CO2-equivalent | Change |
|---|---|---|
| 1970 | 5.91 million Tonnes of CO2-equivalent | — |
| 1971 | 5.91 million Tonnes of CO2-equivalent | +0.0% |
| 1972 | 6.17 million Tonnes of CO2-equivalent | +4.3% |
| 1973 | 6.41 million Tonnes of CO2-equivalent | +3.9% |
| 1974 | 6.65 million Tonnes of CO2-equivalent | +3.8% |
| 1975 | 7.03 million Tonnes of CO2-equivalent | +5.7% |
| 1976 | 7.13 million Tonnes of CO2-equivalent | +1.4% |
| 1977 | 7.29 million Tonnes of CO2-equivalent | +2.2% |
| 1978 | 7.46 million Tonnes of CO2-equivalent | +2.4% |
| 1979 | 7.62 million Tonnes of CO2-equivalent | +2.1% |
| 1980 | 7.97 million Tonnes of CO2-equivalent | +4.7% |
| 1981 | 7.90 million Tonnes of CO2-equivalent | -0.9% |
| 1982 | 7.83 million Tonnes of CO2-equivalent | -0.9% |
| 1983 | 7.81 million Tonnes of CO2-equivalent | -0.2% |
| 1984 | 7.91 million Tonnes of CO2-equivalent | +1.4% |
| 1985 | 8.04 million Tonnes of CO2-equivalent | +1.6% |
| 1986 | 8.03 million Tonnes of CO2-equivalent | -0.1% |
| 1987 | 8.09 million Tonnes of CO2-equivalent | +0.7% |
| 1988 | 8.21 million Tonnes of CO2-equivalent | +1.5% |
| 1989 | 8.20 million Tonnes of CO2-equivalent | -0.1% |
| 1990 | 7.31 million Tonnes of CO2-equivalent | -10.9% |
| 1991 | 7.67 million Tonnes of CO2-equivalent | +5.0% |
| 1992 | 3.75 million Tonnes of CO2-equivalent | -51.0% |
| 1993 | 3.26 million Tonnes of CO2-equivalent | -13.2% |
| 1994 | 2.97 million Tonnes of CO2-equivalent | -8.9% |
| 1995 | 2.58 million Tonnes of CO2-equivalent | -13.2% |
| 1996 | 2.30 million Tonnes of CO2-equivalent | -10.8% |
| 1997 | 1.97 million Tonnes of CO2-equivalent | -14.1% |
| 1998 | 1.70 million Tonnes of CO2-equivalent | -13.9% |
| 1999 | 1.51 million Tonnes of CO2-equivalent | -11.3% |
| 2000 | 1.28 million Tonnes of CO2-equivalent | -15.1% |
| 2001 | 1.23 million Tonnes of CO2-equivalent | -3.9% |
| 2002 | 1.31 million Tonnes of CO2-equivalent | +6.2% |
| 2003 | 1.35 million Tonnes of CO2-equivalent | +3.1% |
| 2004 | 1.38 million Tonnes of CO2-equivalent | +2.3% |
| 2005 | 1.46 million Tonnes of CO2-equivalent | +5.5% |
| 2006 | 1.60 million Tonnes of CO2-equivalent | +9.7% |
| 2007 | 1.56 million Tonnes of CO2-equivalent | -2.0% |
| 2008 | 1.51 million Tonnes of CO2-equivalent | -3.4% |
| 2009 | 1.48 million Tonnes of CO2-equivalent | -2.0% |
| 2010 | 1.64 million Tonnes of CO2-equivalent | +10.9% |
| 2011 | 1.66 million Tonnes of CO2-equivalent | +0.8% |
| 2012 | 1.58 million Tonnes of CO2-equivalent | -4.5% |
| 2013 | 1.56 million Tonnes of CO2-equivalent | -1.3% |
| 2014 | 1.46 million Tonnes of CO2-equivalent | -6.2% |
| 2015 | 1.35 million Tonnes of CO2-equivalent | -8.1% |
| 2016 | 1.48 million Tonnes of CO2-equivalent | +9.8% |
| 2017 | 1.56 million Tonnes of CO2-equivalent | +5.8% |
| 2018 | 1.61 million Tonnes of CO2-equivalent | +3.0% |
| 2019 | 1.53 million Tonnes of CO2-equivalent | -4.7% |
| 2020 | 1.45 million Tonnes of CO2-equivalent | -5.3% |
| 2021 | 1.64 million Tonnes of CO2-equivalent | +12.7% |
| 2022 | 1.43 million Tonnes of CO2-equivalent | -12.7% |
| 2023 | 1.30 million Tonnes of CO2-equivalent | -8.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6.76 million Tonnes of CO2-equivalent | 5.91 million Tonnes of CO2-equivalent | 7.62 million Tonnes of CO2-equivalent | 10 |
| 1980s | 8.00 million Tonnes of CO2-equivalent | 7.81 million Tonnes of CO2-equivalent | 8.21 million Tonnes of CO2-equivalent | 10 |
| 1990s | 3.50 million Tonnes of CO2-equivalent | 1.51 million Tonnes of CO2-equivalent | 7.67 million Tonnes of CO2-equivalent | 10 |
| 2000s | 1.42 million Tonnes of CO2-equivalent | 1.23 million Tonnes of CO2-equivalent | 1.60 million Tonnes of CO2-equivalent | 10 |
| 2010s | 1.54 million Tonnes of CO2-equivalent | 1.35 million Tonnes of CO2-equivalent | 1.66 million Tonnes of CO2-equivalent | 10 |
| 2020s | 1.46 million Tonnes of CO2-equivalent | 1.30 million Tonnes of CO2-equivalent | 1.64 million Tonnes of CO2-equivalent | 4 |
Countries ranked near Lithuania
- 39 Israel 1.65 million Tonnes of CO2-equivalent compare
- 40 Luxembourg 1.42 million Tonnes of CO2-equivalent compare
- 41 Latvia 1.38 million Tonnes of CO2-equivalent compare
- 43 Slovenia 1.19 million Tonnes of CO2-equivalent compare
- 44 Estonia 729,380 Tonnes of CO2-equivalent compare
- 45 Costa Rica 650,994 Tonnes of CO2-equivalent compare
More climate change data for Lithuania
- 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)
- Emissions from crops — Emissions 0.3927 kt (2050)
Frequently asked questions
- What is greenhouse gas emissions - regions — ghg emissions from buildings in Lithuania?
- Greenhouse gas emissions - regions — ghg emissions from buildings in Lithuania was 1.30 million Tonnes of CO2-equivalent in 2023, according to Organisation for Economic Co-operation and Development.
- What is the highest greenhouse gas emissions - regions — ghg emissions from buildings recorded in Lithuania?
- The highest recorded value was 8.21 million Tonnes of CO2-equivalent in 1988.
- What is the lowest greenhouse gas emissions - regions — ghg emissions from buildings recorded in Lithuania?
- The lowest recorded value was 1.23 million Tonnes of CO2-equivalent in 2001.
- How does Lithuania rank for greenhouse gas emissions - regions — ghg emissions from buildings?
- Lithuania ranks 42nd out of 47 countries with data for 2023.
- Is greenhouse gas emissions - regions — ghg emissions from buildings rising or falling in Lithuania?
- Over the last ten years it is down 16.5%. The long-run trend across the full record is volatile.
- Where does this Lithuania data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Greenhouse gas emissions - Regions — GHG emissions from buildings. Statizoid updates them automatically from the source API.
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About this data
This dataset provides indicators on greenhouse gas emissions (GHG) in large (TL2) and small (TL3) regions. Data definition and source GHG are estimated by sector of origin at the subnational level using the Emissions Database for Global Atmospheric Research (EDGAR) (Joint Research Centre). See the methodology. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.