Greenhouse gas emissions - Regions — GHG emissions from power in Brazil
Brazil: Greenhouse gas emissions - Regions — GHG emissions from power was 48.92 million Tonnes of CO2-equivalent in 2023. ◆ Volatile
Greenhouse gas emissions - Regions — GHG emissions from power in Brazil, 1970–2023
Source: Organisation for Economic Co-operation and Development. Measured in Tonnes of CO2-equivalent.
Analysis
Brazil recorded 48.92 million Tonnes of CO2-equivalent for greenhouse gas emissions - regions — ghg emissions from power in 2023.
Compared with earlier readings it is down 5.3% on the previous year and down 38.8% over ten years.
Over the whole period, greenhouse gas emissions - regions — ghg emissions from power in Brazil peaked at 101.14 million Tonnes of CO2-equivalent in 2014 and was at its lowest, 5.77 million Tonnes of CO2-equivalent, in 1976.
Brazil ranks 14th of 47 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.
Greenhouse gas emissions - Regions — GHG emissions from power in Brazil, year by year
| Year | Tonnes of CO2-equivalent | Change |
|---|---|---|
| 1970 | 7.49 million Tonnes of CO2-equivalent | — |
| 1971 | 7.49 million Tonnes of CO2-equivalent | -0.0% |
| 1972 | 6.08 million Tonnes of CO2-equivalent | -18.9% |
| 1973 | 6.60 million Tonnes of CO2-equivalent | +8.6% |
| 1974 | 5.82 million Tonnes of CO2-equivalent | -11.8% |
| 1975 | 5.84 million Tonnes of CO2-equivalent | +0.4% |
| 1976 | 5.77 million Tonnes of CO2-equivalent | -1.3% |
| 1977 | 6.40 million Tonnes of CO2-equivalent | +11.0% |
| 1978 | 9.10 million Tonnes of CO2-equivalent | +42.0% |
| 1979 | 8.69 million Tonnes of CO2-equivalent | -4.4% |
| 1980 | 8.98 million Tonnes of CO2-equivalent | +3.3% |
| 1981 | 10.63 million Tonnes of CO2-equivalent | +18.4% |
| 1982 | 9.80 million Tonnes of CO2-equivalent | -7.9% |
| 1983 | 8.75 million Tonnes of CO2-equivalent | -10.7% |
| 1984 | 10.08 million Tonnes of CO2-equivalent | +15.2% |
| 1985 | 10.16 million Tonnes of CO2-equivalent | +0.7% |
| 1986 | 16.99 million Tonnes of CO2-equivalent | +67.3% |
| 1987 | 15.16 million Tonnes of CO2-equivalent | -10.8% |
| 1988 | 14.16 million Tonnes of CO2-equivalent | -6.6% |
| 1989 | 12.69 million Tonnes of CO2-equivalent | -10.4% |
| 1990 | 12.85 million Tonnes of CO2-equivalent | +1.3% |
| 1991 | 14.14 million Tonnes of CO2-equivalent | +10.0% |
| 1992 | 15.35 million Tonnes of CO2-equivalent | +8.6% |
| 1993 | 14.56 million Tonnes of CO2-equivalent | -5.1% |
| 1994 | 13.82 million Tonnes of CO2-equivalent | -5.0% |
| 1995 | 15.81 million Tonnes of CO2-equivalent | +14.3% |
| 1996 | 17.23 million Tonnes of CO2-equivalent | +9.0% |
| 1997 | 19.89 million Tonnes of CO2-equivalent | +15.4% |
| 1998 | 20.76 million Tonnes of CO2-equivalent | +4.4% |
| 1999 | 28.50 million Tonnes of CO2-equivalent | +37.3% |
| 2000 | 31.74 million Tonnes of CO2-equivalent | +11.4% |
| 2001 | 35.75 million Tonnes of CO2-equivalent | +12.6% |
| 2002 | 30.72 million Tonnes of CO2-equivalent | -14.1% |
| 2003 | 29.74 million Tonnes of CO2-equivalent | -3.2% |
| 2004 | 34.28 million Tonnes of CO2-equivalent | +15.3% |
| 2005 | 35.06 million Tonnes of CO2-equivalent | +2.3% |
| 2006 | 35.14 million Tonnes of CO2-equivalent | +0.2% |
| 2007 | 33.36 million Tonnes of CO2-equivalent | -5.1% |
| 2008 | 43.07 million Tonnes of CO2-equivalent | +29.1% |
| 2009 | 31.01 million Tonnes of CO2-equivalent | -28.0% |
| 2010 | 46.53 million Tonnes of CO2-equivalent | +50.1% |
| 2011 | 37.74 million Tonnes of CO2-equivalent | -18.9% |
| 2012 | 56.65 million Tonnes of CO2-equivalent | +50.1% |
| 2013 | 79.95 million Tonnes of CO2-equivalent | +41.1% |
| 2014 | 101.14 million Tonnes of CO2-equivalent | +26.5% |
| 2015 | 97.15 million Tonnes of CO2-equivalent | -3.9% |
| 2016 | 75.12 million Tonnes of CO2-equivalent | -22.7% |
| 2017 | 75.61 million Tonnes of CO2-equivalent | +0.6% |
| 2018 | 66.99 million Tonnes of CO2-equivalent | -11.4% |
| 2019 | 69.07 million Tonnes of CO2-equivalent | +3.1% |
| 2020 | 63.75 million Tonnes of CO2-equivalent | -7.7% |
| 2021 | 89.31 million Tonnes of CO2-equivalent | +40.1% |
| 2022 | 51.63 million Tonnes of CO2-equivalent | -42.2% |
| 2023 | 48.92 million Tonnes of CO2-equivalent | -5.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6.93 million Tonnes of CO2-equivalent | 5.77 million Tonnes of CO2-equivalent | 9.10 million Tonnes of CO2-equivalent | 10 |
| 1980s | 11.74 million Tonnes of CO2-equivalent | 8.75 million Tonnes of CO2-equivalent | 16.99 million Tonnes of CO2-equivalent | 10 |
| 1990s | 17.29 million Tonnes of CO2-equivalent | 12.85 million Tonnes of CO2-equivalent | 28.50 million Tonnes of CO2-equivalent | 10 |
| 2000s | 33.99 million Tonnes of CO2-equivalent | 29.74 million Tonnes of CO2-equivalent | 43.07 million Tonnes of CO2-equivalent | 10 |
| 2010s | 70.60 million Tonnes of CO2-equivalent | 37.74 million Tonnes of CO2-equivalent | 101.14 million Tonnes of CO2-equivalent | 10 |
| 2020s | 63.40 million Tonnes of CO2-equivalent | 48.92 million Tonnes of CO2-equivalent | 89.31 million Tonnes of CO2-equivalent | 4 |
Countries ranked near Brazil
- 11 Italy 84.70 million Tonnes of CO2-equivalent compare
- 12 Canada 74.21 million Tonnes of CO2-equivalent compare
- 13 United Kingdom 54.56 million Tonnes of CO2-equivalent compare
- 15 Czechia 41.32 million Tonnes of CO2-equivalent compare
- 16 Argentina 39.53 million Tonnes of CO2-equivalent compare
- 17 Netherlands 32.79 million Tonnes of CO2-equivalent compare
More climate change data for Brazil
- Emissions from livestock — Emissions (CO2eq) 564,343 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 124,669 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 439,674 kt (2050)
- Emissions from livestock — Emissions 470.45 kt (2050)
- Emissions from livestock — Emissions 15,703 kt (2050)
- Emissions from crops — Emissions (CO2eq) 67,360 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 60,554 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 6,806 kt (2050)
- Emissions from crops — Emissions 228.5 kt (2050)
- Emissions from crops — Emissions 243.06 kt (2050)
Frequently asked questions
- What is greenhouse gas emissions - regions — ghg emissions from power in Brazil?
- Greenhouse gas emissions - regions — ghg emissions from power in Brazil was 48.92 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 power recorded in Brazil?
- The highest recorded value was 101.14 million Tonnes of CO2-equivalent in 2014.
- What is the lowest greenhouse gas emissions - regions — ghg emissions from power recorded in Brazil?
- The lowest recorded value was 5.77 million Tonnes of CO2-equivalent in 1976.
- How does Brazil rank for greenhouse gas emissions - regions — ghg emissions from power?
- Brazil ranks 14th out of 47 countries with data for 2023.
- Is greenhouse gas emissions - regions — ghg emissions from power rising or falling in Brazil?
- Over the last ten years it is down 38.8%. The long-run trend across the full record is volatile.
- Where does this Brazil 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 power generation. 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.