Denmark vs Peru: Greenhouse gas emissions - Regions — GHG emissions from buildings

Denmark
4.07 million Tonnes of CO2-equivalent
in 2023
Peru
6.14 million Tonnes of CO2-equivalent
in 2023
Denmark rank
31st
Peru rank
29th

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

  • Denmark
  • Peru
5.0M10.0M15.0M20.0M25.0M197019962023

How they compare

Peru currently reports 6.14 million Tonnes of CO2-equivalent against 4.07 million Tonnes of CO2-equivalent in Denmark, a difference of 2.07 million Tonnes of CO2-equivalent.

That makes Peru's figure about 1.5 times Denmark's.

The two have swapped places 1 time across 54 shared years of data; in 1970 it was Denmark ahead.

Denmark ranks 31st and Peru ranks 29th of 47 countries.

Across the 6 decades both report, Denmark averaged higher in 5 and Peru in 1.

Head to head by decade

Decade Denmark Peru Difference Ahead
1970s 22.58 million Tonnes of CO2-equivalent 4.76 million Tonnes of CO2-equivalent 17.81 million Tonnes of CO2-equivalent Denmark
1980s 12.83 million Tonnes of CO2-equivalent 5.30 million Tonnes of CO2-equivalent 7.54 million Tonnes of CO2-equivalent Denmark
1990s 8.76 million Tonnes of CO2-equivalent 5.46 million Tonnes of CO2-equivalent 3.29 million Tonnes of CO2-equivalent Denmark
2000s 6.88 million Tonnes of CO2-equivalent 4.54 million Tonnes of CO2-equivalent 2.34 million Tonnes of CO2-equivalent Denmark
2010s 5.21 million Tonnes of CO2-equivalent 4.59 million Tonnes of CO2-equivalent 619,790 Tonnes of CO2-equivalent Denmark
2020s 4.26 million Tonnes of CO2-equivalent 5.76 million Tonnes of CO2-equivalent 1.50 million Tonnes of CO2-equivalent Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher greenhouse gas emissions - regions — ghg emissions from buildings, Denmark or Peru?
Peru, at 6.14 million Tonnes of CO2-equivalent against 4.07 million Tonnes of CO2-equivalent in Denmark as of 2023.
What is the difference in greenhouse gas emissions - regions — ghg emissions from buildings between Denmark and Peru?
2.07 million Tonnes of CO2-equivalent, with Peru ahead.
How many years of comparable data are there for Denmark and Peru?
54 years are reported by both, from 1970 to 2023.
How do Denmark and Peru rank globally for greenhouse gas emissions - regions — ghg emissions from buildings?
Denmark ranks 31st and Peru ranks 29th 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 buildings. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Denmark vs Peru: Greenhouse gas emissions - Regions — GHG emissions from buildings. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 October 2026, from https://climate.statizoid.com/compare/greenhouse-gas-emissions-regions-ghg-emissions-from-buildings/denmark/peru/

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About this data

Indicator
Greenhouse gas emissions - Regions — GHG emissions from buildings
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.