Luxembourg vs Nantes: Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste

Luxembourg
0.01 Tonnes of CO2-equivalent
in 2024
Nantes
0.07 Tonnes of CO2-equivalent
in 2024
Luxembourg rank
2nd
Nantes rank
5th

Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste over time

  • Luxembourg
  • Nantes
00.020.040.060.08199020072024

How they compare

Nantes currently reports 0.07 Tonnes of CO2-equivalent against 0.01 Tonnes of CO2-equivalent in Luxembourg, a difference of 0.06 Tonnes of CO2-equivalent.

That makes Nantes's figure about 7.0 times Luxembourg's.

Across all 35 years both countries report, Nantes has been ahead every year.

Luxembourg ranks 2nd and Nantes ranks 5th of 2 countries.

Nantes has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade Luxembourg Nantes Difference Ahead
1990s 0 Tonnes of CO2-equivalent 0.074 Tonnes of CO2-equivalent 0.074 Tonnes of CO2-equivalent Nantes
2000s 0.005 Tonnes of CO2-equivalent 0.087 Tonnes of CO2-equivalent 0.082 Tonnes of CO2-equivalent Nantes
2010s 0.01 Tonnes of CO2-equivalent 0.083 Tonnes of CO2-equivalent 0.073 Tonnes of CO2-equivalent Nantes
2020s 0.01 Tonnes of CO2-equivalent 0.076 Tonnes of CO2-equivalent 0.066 Tonnes of CO2-equivalent Nantes

Averages of every year both report within each decade.

Frequently asked questions

Which has higher greenhouse gas emissions - cities and fuas — ghg emissions from waste, Luxembourg or Nantes?
Nantes, at 0.07 Tonnes of CO2-equivalent against 0.01 Tonnes of CO2-equivalent in Luxembourg as of 2024.
What is the difference in greenhouse gas emissions - cities and fuas — ghg emissions from waste between Luxembourg and Nantes?
0.06 Tonnes of CO2-equivalent, with Nantes ahead.
How many years of comparable data are there for Luxembourg and Nantes?
35 years are reported by both, from 1990 to 2024.
How do Luxembourg and Nantes rank globally for greenhouse gas emissions - cities and fuas — ghg emissions from waste?
Luxembourg ranks 2nd and Nantes ranks 5th of 2 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Luxembourg vs Nantes: Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 10 September 2026, from https://environment.statizoid.com/compare/greenhouse-gas-emissions-cities-and-fuas-ghg-emissions-from-waste/luxembourg/nantes/

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About this data

Indicator
Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste
Unit
Tonnes of CO2-equivalent
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,326 places, 46,410 data points, 1990–2024
Last refreshed

This dataset provides statistics on greenhouse gas emissions (GHG) in Functional Urban Areas (FUAs) and Cities. Data sources and methodology GHG emissions at the subnational level are estimated using the Emissions Database for Global Atmospheric Research (EDGAR) version 8.0 developed by the European Commission Joint Research Centre and the Internation Energy Agency (EC JRC/IEA, 2023). EDGAR provides annual sector-specific grid maps for four GHGs (carbon dioxide or CO2, methane or CH4, nitrous oxide or N2O and fluorinated gases or F-gases) at a 0.1° spatial resolution (approximately 11 km). The different sectors covered are: Energy, Industry, Transport, Building, Agriculture, Waste. Emissions from land use and land cover change are not included. In EDGAR, national GHG emissions are disaggregated at subnational level by using subsector-specific geospatial proxies. GHG emissions are expressed in CO2 equivalents using 100-year global warming potential from the IPCC 5th Assessment Report (AR5), i.e. 28 for CH4 and 265 for N2O. EDGAR is used to ensure global comparability, harmonised methods across countries, and complete subnational coverage, which is not always provided in national reporting. These subnational estimates may differ from official subnational statistics. Differences may arise from variations in methodologies, particularly the use of top down spatial downscaling in EDGAR versus bottom up activity based approaches in official inventories, as well as the choice and availability of spatial proxies used to allocate emissions geographically. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Greenhouse gas emissions - Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org