Greenhouse gas emissions - Regions — GHG emissions from buildings in Peru
Peru: Greenhouse gas emissions - Regions — GHG emissions from buildings was 6.14 million Tonnes of CO2-equivalent in 2023. ▬ Flat
Greenhouse gas emissions - Regions — GHG emissions from buildings 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 buildings in Peru is 6.14 million Tonnes of CO2-equivalent, measured in 2023.
That represents a change of up 2.4% on the previous year and up 29.9% over ten years.
Over the whole period, greenhouse gas emissions - regions — ghg emissions from buildings in Peru peaked at 6.18 million Tonnes of CO2-equivalent in 1996 and was at its lowest, 3.75 million Tonnes of CO2-equivalent, in 2007.
That places Peru 29th out of 47 countries with data for 2023, putting it in the middle of the range.
Greenhouse gas emissions - Regions — GHG emissions from buildings in Peru, year by year
| Year | Tonnes of CO2-equivalent | Change |
|---|---|---|
| 1970 | 4.96 million Tonnes of CO2-equivalent | — |
| 1971 | 4.96 million Tonnes of CO2-equivalent | +0.0% |
| 1972 | 4.22 million Tonnes of CO2-equivalent | -14.8% |
| 1973 | 3.99 million Tonnes of CO2-equivalent | -5.6% |
| 1974 | 5.17 million Tonnes of CO2-equivalent | +29.6% |
| 1975 | 4.64 million Tonnes of CO2-equivalent | -10.3% |
| 1976 | 4.97 million Tonnes of CO2-equivalent | +7.3% |
| 1977 | 4.75 million Tonnes of CO2-equivalent | -4.5% |
| 1978 | 4.99 million Tonnes of CO2-equivalent | +5.0% |
| 1979 | 4.99 million Tonnes of CO2-equivalent | +0.1% |
| 1980 | 5.08 million Tonnes of CO2-equivalent | +1.7% |
| 1981 | 5.37 million Tonnes of CO2-equivalent | +5.7% |
| 1982 | 5.59 million Tonnes of CO2-equivalent | +4.0% |
| 1983 | 4.63 million Tonnes of CO2-equivalent | -17.1% |
| 1984 | 4.94 million Tonnes of CO2-equivalent | +6.7% |
| 1985 | 4.91 million Tonnes of CO2-equivalent | -0.6% |
| 1986 | 5.46 million Tonnes of CO2-equivalent | +11.2% |
| 1987 | 5.67 million Tonnes of CO2-equivalent | +3.8% |
| 1988 | 5.92 million Tonnes of CO2-equivalent | +4.5% |
| 1989 | 5.42 million Tonnes of CO2-equivalent | -8.6% |
| 1990 | 4.97 million Tonnes of CO2-equivalent | -8.2% |
| 1991 | 5.03 million Tonnes of CO2-equivalent | +1.1% |
| 1992 | 5.25 million Tonnes of CO2-equivalent | +4.3% |
| 1993 | 5.23 million Tonnes of CO2-equivalent | -0.3% |
| 1994 | 5.41 million Tonnes of CO2-equivalent | +3.4% |
| 1995 | 5.72 million Tonnes of CO2-equivalent | +5.7% |
| 1996 | 6.18 million Tonnes of CO2-equivalent | +7.9% |
| 1997 | 5.68 million Tonnes of CO2-equivalent | -8.1% |
| 1998 | 5.27 million Tonnes of CO2-equivalent | -7.2% |
| 1999 | 5.91 million Tonnes of CO2-equivalent | +12.2% |
| 2000 | 5.55 million Tonnes of CO2-equivalent | -6.1% |
| 2001 | 5.33 million Tonnes of CO2-equivalent | -3.9% |
| 2002 | 5.59 million Tonnes of CO2-equivalent | +4.7% |
| 2003 | 4.86 million Tonnes of CO2-equivalent | -13.0% |
| 2004 | 4.47 million Tonnes of CO2-equivalent | -8.0% |
| 2005 | 4.14 million Tonnes of CO2-equivalent | -7.5% |
| 2006 | 3.78 million Tonnes of CO2-equivalent | -8.5% |
| 2007 | 3.75 million Tonnes of CO2-equivalent | -1.0% |
| 2008 | 3.87 million Tonnes of CO2-equivalent | +3.3% |
| 2009 | 4.08 million Tonnes of CO2-equivalent | +5.4% |
| 2010 | 3.80 million Tonnes of CO2-equivalent | -6.8% |
| 2011 | 4.19 million Tonnes of CO2-equivalent | +10.4% |
| 2012 | 4.25 million Tonnes of CO2-equivalent | +1.4% |
| 2013 | 4.73 million Tonnes of CO2-equivalent | +11.1% |
| 2014 | 4.72 million Tonnes of CO2-equivalent | -0.2% |
| 2015 | 4.77 million Tonnes of CO2-equivalent | +1.2% |
| 2016 | 4.61 million Tonnes of CO2-equivalent | -3.4% |
| 2017 | 4.60 million Tonnes of CO2-equivalent | -0.2% |
| 2018 | 5.16 million Tonnes of CO2-equivalent | +12.3% |
| 2019 | 5.11 million Tonnes of CO2-equivalent | -1.0% |
| 2020 | 5.20 million Tonnes of CO2-equivalent | +1.7% |
| 2021 | 5.68 million Tonnes of CO2-equivalent | +9.3% |
| 2022 | 6.00 million Tonnes of CO2-equivalent | +5.5% |
| 2023 | 6.14 million Tonnes of CO2-equivalent | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 4.76 million Tonnes of CO2-equivalent | 3.99 million Tonnes of CO2-equivalent | 5.17 million Tonnes of CO2-equivalent | 10 |
| 1980s | 5.30 million Tonnes of CO2-equivalent | 4.63 million Tonnes of CO2-equivalent | 5.92 million Tonnes of CO2-equivalent | 10 |
| 1990s | 5.46 million Tonnes of CO2-equivalent | 4.97 million Tonnes of CO2-equivalent | 6.18 million Tonnes of CO2-equivalent | 10 |
| 2000s | 4.54 million Tonnes of CO2-equivalent | 3.75 million Tonnes of CO2-equivalent | 5.59 million Tonnes of CO2-equivalent | 10 |
| 2010s | 4.59 million Tonnes of CO2-equivalent | 3.80 million Tonnes of CO2-equivalent | 5.16 million Tonnes of CO2-equivalent | 10 |
| 2020s | 5.76 million Tonnes of CO2-equivalent | 5.20 million Tonnes of CO2-equivalent | 6.14 million Tonnes of CO2-equivalent | 4 |
Countries ranked near Peru
- 26 Austria 8.21 million Tonnes of CO2-equivalent compare
- 27 Ireland 7.72 million Tonnes of CO2-equivalent compare
- 28 Greece 6.69 million Tonnes of CO2-equivalent compare
- 30 Tunisia 4.81 million Tonnes of CO2-equivalent compare
- 31 Denmark 4.07 million Tonnes of CO2-equivalent compare
- 32 Finland 3.85 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 buildings in Peru?
- Greenhouse gas emissions - regions — ghg emissions from buildings in Peru was 6.14 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 Peru?
- The highest recorded value was 6.18 million Tonnes of CO2-equivalent in 1996.
- What is the lowest greenhouse gas emissions - regions — ghg emissions from buildings recorded in Peru?
- The lowest recorded value was 3.75 million Tonnes of CO2-equivalent in 2007.
- How does Peru rank for greenhouse gas emissions - regions — ghg emissions from buildings?
- Peru ranks 29th out of 47 countries with data for 2023.
- Is greenhouse gas emissions - regions — ghg emissions from buildings rising or falling in Peru?
- Over the last ten years it is up 29.9%. The long-run trend across the full record is flat.
- 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 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.