Greenhouse gas emissions - Regions — GHG emissions from power in Peru
Peru: Greenhouse gas emissions - Regions — GHG emissions from power was 11.88 million Tonnes of CO2-equivalent in 2023. ◆ Volatile
Greenhouse gas emissions - Regions — GHG emissions from power in Peru, 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 power in Peru is 11.88 million Tonnes of CO2-equivalent, measured in 2023.
That represents a change of up 2.4% on the previous year and up 8.7% over ten years.
Over the whole period, greenhouse gas emissions - regions — ghg emissions from power in Peru peaked at 13.75 million Tonnes of CO2-equivalent in 2016 and was at its lowest, 1.42 million Tonnes of CO2-equivalent, in 1970.
That places Peru 27th out of 47 countries with data for 2023, putting it 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 Peru, year by year
| Year | Tonnes of CO2-equivalent | Change |
|---|---|---|
| 1970 | 1.42 million Tonnes of CO2-equivalent | — |
| 1971 | 1.42 million Tonnes of CO2-equivalent | +0.0% |
| 1972 | 1.58 million Tonnes of CO2-equivalent | +10.8% |
| 1973 | 1.71 million Tonnes of CO2-equivalent | +8.2% |
| 1974 | 1.72 million Tonnes of CO2-equivalent | +0.8% |
| 1975 | 1.71 million Tonnes of CO2-equivalent | -0.5% |
| 1976 | 1.90 million Tonnes of CO2-equivalent | +11.2% |
| 1977 | 2.23 million Tonnes of CO2-equivalent | +17.0% |
| 1978 | 2.33 million Tonnes of CO2-equivalent | +4.4% |
| 1979 | 2.33 million Tonnes of CO2-equivalent | +0.3% |
| 1980 | 2.84 million Tonnes of CO2-equivalent | +21.7% |
| 1981 | 2.55 million Tonnes of CO2-equivalent | -10.1% |
| 1982 | 2.65 million Tonnes of CO2-equivalent | +4.1% |
| 1983 | 2.34 million Tonnes of CO2-equivalent | -12.0% |
| 1984 | 2.72 million Tonnes of CO2-equivalent | +16.4% |
| 1985 | 2.33 million Tonnes of CO2-equivalent | -14.1% |
| 1986 | 2.43 million Tonnes of CO2-equivalent | +4.0% |
| 1987 | 2.51 million Tonnes of CO2-equivalent | +3.3% |
| 1988 | 2.66 million Tonnes of CO2-equivalent | +6.1% |
| 1989 | 2.67 million Tonnes of CO2-equivalent | +0.2% |
| 1990 | 2.57 million Tonnes of CO2-equivalent | -3.5% |
| 1991 | 2.25 million Tonnes of CO2-equivalent | -12.4% |
| 1992 | 2.87 million Tonnes of CO2-equivalent | +27.2% |
| 1993 | 2.68 million Tonnes of CO2-equivalent | -6.6% |
| 1994 | 2.52 million Tonnes of CO2-equivalent | -6.0% |
| 1995 | 3.05 million Tonnes of CO2-equivalent | +21.3% |
| 1996 | 3.57 million Tonnes of CO2-equivalent | +16.9% |
| 1997 | 3.83 million Tonnes of CO2-equivalent | +7.2% |
| 1998 | 3.67 million Tonnes of CO2-equivalent | -4.2% |
| 1999 | 3.30 million Tonnes of CO2-equivalent | -10.2% |
| 2000 | 3.12 million Tonnes of CO2-equivalent | -5.4% |
| 2001 | 2.59 million Tonnes of CO2-equivalent | -16.9% |
| 2002 | 3.27 million Tonnes of CO2-equivalent | +26.2% |
| 2003 | 3.53 million Tonnes of CO2-equivalent | +7.9% |
| 2004 | 5.21 million Tonnes of CO2-equivalent | +47.8% |
| 2005 | 5.40 million Tonnes of CO2-equivalent | +3.6% |
| 2006 | 5.08 million Tonnes of CO2-equivalent | -6.0% |
| 2007 | 6.03 million Tonnes of CO2-equivalent | +18.7% |
| 2008 | 7.87 million Tonnes of CO2-equivalent | +30.5% |
| 2009 | 8.44 million Tonnes of CO2-equivalent | +7.2% |
| 2010 | 10.53 million Tonnes of CO2-equivalent | +24.7% |
| 2011 | 11.80 million Tonnes of CO2-equivalent | +12.0% |
| 2012 | 11.51 million Tonnes of CO2-equivalent | -2.4% |
| 2013 | 10.93 million Tonnes of CO2-equivalent | -5.0% |
| 2014 | 11.63 million Tonnes of CO2-equivalent | +6.4% |
| 2015 | 11.84 million Tonnes of CO2-equivalent | +1.8% |
| 2016 | 13.75 million Tonnes of CO2-equivalent | +16.1% |
| 2017 | 11.78 million Tonnes of CO2-equivalent | -14.3% |
| 2018 | 10.98 million Tonnes of CO2-equivalent | -6.8% |
| 2019 | 11.53 million Tonnes of CO2-equivalent | +5.0% |
| 2020 | 9.40 million Tonnes of CO2-equivalent | -18.5% |
| 2021 | 10.58 million Tonnes of CO2-equivalent | +12.6% |
| 2022 | 11.60 million Tonnes of CO2-equivalent | +9.6% |
| 2023 | 11.88 million Tonnes of CO2-equivalent | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1.84 million Tonnes of CO2-equivalent | 1.42 million Tonnes of CO2-equivalent | 2.33 million Tonnes of CO2-equivalent | 10 |
| 1980s | 2.57 million Tonnes of CO2-equivalent | 2.33 million Tonnes of CO2-equivalent | 2.84 million Tonnes of CO2-equivalent | 10 |
| 1990s | 3.03 million Tonnes of CO2-equivalent | 2.25 million Tonnes of CO2-equivalent | 3.83 million Tonnes of CO2-equivalent | 10 |
| 2000s | 5.06 million Tonnes of CO2-equivalent | 2.59 million Tonnes of CO2-equivalent | 8.44 million Tonnes of CO2-equivalent | 10 |
| 2010s | 11.63 million Tonnes of CO2-equivalent | 10.53 million Tonnes of CO2-equivalent | 13.75 million Tonnes of CO2-equivalent | 10 |
| 2020s | 10.86 million Tonnes of CO2-equivalent | 9.40 million Tonnes of CO2-equivalent | 11.88 million Tonnes of CO2-equivalent | 4 |
Countries ranked near Peru
- 24 Colombia 15.05 million Tonnes of CO2-equivalent compare
- 25 Greece 14.89 million Tonnes of CO2-equivalent compare
- 26 Belgium 13.69 million Tonnes of CO2-equivalent compare
- 28 Austria 10.37 million Tonnes of CO2-equivalent compare
- 29 Finland 9.69 million Tonnes of CO2-equivalent compare
- 30 Tunisia 9.40 million Tonnes of CO2-equivalent compare
More climate change data for Peru
- Emissions from livestock — Emissions (CO2eq) 25,757 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from N2O 6,560 kt (2050)
- Emissions from livestock — Emissions (CO2eq) from CH4 19,197 kt (2050)
- Emissions from livestock — Emissions 24.76 kt (2050)
- Emissions from livestock — Emissions 685.61 kt (2050)
- Emissions from crops — Emissions (CO2eq) 6,265 kt (2050)
- Emissions from crops — Emissions (CO2eq) from N2O 2,780 kt (2050)
- Emissions from crops — Emissions (CO2eq) from CH4 3,484 kt (2050)
- Emissions from crops — Emissions 10.49 kt (2050)
- Emissions from crops — Emissions 124.44 kt (2050)
Frequently asked questions
- What is greenhouse gas emissions - regions — ghg emissions from power in Peru?
- Greenhouse gas emissions - regions — ghg emissions from power in Peru was 11.88 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 Peru?
- The highest recorded value was 13.75 million Tonnes of CO2-equivalent in 2016.
- What is the lowest greenhouse gas emissions - regions — ghg emissions from power recorded in Peru?
- The lowest recorded value was 1.42 million Tonnes of CO2-equivalent in 1970.
- How does Peru rank for greenhouse gas emissions - regions — ghg emissions from power?
- Peru ranks 27th out of 47 countries with data for 2023.
- Is greenhouse gas emissions - regions — ghg emissions from power rising or falling in Peru?
- Over the last ten years it is up 8.7%. The long-run trend across the full record is volatile.
- Where does this Peru 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.
Download this data
CSV · JSON — 54 observations, free to reuse under OECD Terms and Conditions (attribution required).
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.