Italy vs Peru: Greenhouse gas emissions - Regions — GHG emissions from agriculture

Italy
31.65 million Tonnes of CO2-equivalent
in 2023
Peru
23.23 million Tonnes of CO2-equivalent
in 2023
Italy rank
19th
Peru rank
20th

Greenhouse gas emissions - Regions — GHG emissions from agriculture over time

  • Italy
  • Peru
10.0M20.0M30.0M40.0M197019962023

How they compare

Italy currently reports 31.65 million Tonnes of CO2-equivalent against 23.23 million Tonnes of CO2-equivalent in Peru, a difference of 8.42 million Tonnes of CO2-equivalent.

That makes Italy's figure about 1.4 times Peru's.

Across all 54 years both countries report, Italy has been ahead every year.

Italy ranks 19th and Peru ranks 20th of 47 countries.

Italy has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade Italy Peru Difference Ahead
1970s 38.67 million Tonnes of CO2-equivalent 14.08 million Tonnes of CO2-equivalent 24.59 million Tonnes of CO2-equivalent Italy
1980s 41.81 million Tonnes of CO2-equivalent 14.43 million Tonnes of CO2-equivalent 27.38 million Tonnes of CO2-equivalent Italy
1990s 38.18 million Tonnes of CO2-equivalent 15.40 million Tonnes of CO2-equivalent 22.78 million Tonnes of CO2-equivalent Italy
2000s 33.56 million Tonnes of CO2-equivalent 19.14 million Tonnes of CO2-equivalent 14.42 million Tonnes of CO2-equivalent Italy
2010s 32.28 million Tonnes of CO2-equivalent 21.09 million Tonnes of CO2-equivalent 11.19 million Tonnes of CO2-equivalent Italy
2020s 32.16 million Tonnes of CO2-equivalent 22.69 million Tonnes of CO2-equivalent 9.47 million Tonnes of CO2-equivalent Italy

Averages of every year both report within each decade.

Frequently asked questions

Which has higher greenhouse gas emissions - regions — ghg emissions from agriculture, Italy or Peru?
Italy, at 31.65 million Tonnes of CO2-equivalent against 23.23 million Tonnes of CO2-equivalent in Peru as of 2023.
What is the difference in greenhouse gas emissions - regions — ghg emissions from agriculture between Italy and Peru?
8.42 million Tonnes of CO2-equivalent, with Italy ahead.
How many years of comparable data are there for Italy and Peru?
54 years are reported by both, from 1970 to 2023.
How do Italy and Peru rank globally for greenhouse gas emissions - regions — ghg emissions from agriculture?
Italy ranks 19th and Peru ranks 20th of 47 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Greenhouse gas emissions - Regions — GHG emissions from agriculture. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Italy vs Peru: Greenhouse gas emissions - Regions — GHG emissions from agriculture. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 October 2026, from https://climate.statizoid.com/compare/greenhouse-gas-emissions-regions-ghg-emissions-from-agriculture/italy/peru/

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About this data

Indicator
Greenhouse gas emissions - Regions — GHG emissions from agriculture
Unit
Tonnes of CO2-equivalent
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
51 places, 2,754 data points, 1970–2023
Last refreshed

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.