Greenhouse gas emissions - Cities and FUAs — GHG emissions total (excl. aviation and shipping) by country
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...
What the numbers show
Greenhouse gas emissions - Cities and FUAs — GHG emissions total (excl. aviation and shipping) is currently reported for 2 countries. The highest value is 0.68 Tonnes of CO2-equivalent in Luxembourg; the lowest is 0.52 Tonnes of CO2-equivalent in Armenia.
The median across all reporting countries is 0.6 Tonnes of CO2-equivalent, and the mean is 0.6 Tonnes of CO2-equivalent.
Over the past decade 1 countries rose and 1 fell. The largest increase was in Armenia (up 20.9%), and the largest decrease in Luxembourg (down 22.7%).
Greenhouse gas emissions - Cities and FUAs — GHG emissions total: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Luxembourg | 0.68 Tonnes of CO2-equivalent | 2024 | down 22.7% | falling |
| 2 | Armenia | 0.52 Tonnes of CO2-equivalent | 2024 | up 20.9% | rising |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Los Angeles (Greater) 129.18 Tonnes of CO2-equivalent
- Sacramento 17.81 Tonnes of CO2-equivalent
- Tokyo 101.92 Tonnes of CO2-equivalent
- Santiago 15.85 Tonnes of CO2-equivalent
- New York (Greater) 94.64 Tonnes of CO2-equivalent
- Porto 1.91 Tonnes of CO2-equivalent
- Chicago 87.8 Tonnes of CO2-equivalent
- Coimbra 1.08 Tonnes of CO2-equivalent
- Seoul 84.61 Tonnes of CO2-equivalent
- Nantes 0.63 Tonnes of CO2-equivalent
- Osaka 60.45 Tonnes of CO2-equivalent
- Braga 0.43 Tonnes of CO2-equivalent
- Houston 55.83 Tonnes of CO2-equivalent
- Toledo 0.28 Tonnes of CO2-equivalent
- Toronto 50.49 Tonnes of CO2-equivalent
- Treviso 0.19 Tonnes of CO2-equivalent
- Tulare 46.41 Tonnes of CO2-equivalent
- Miami (Greater) 46.34 Tonnes of CO2-equivalent
- Phoenix 44.7 Tonnes of CO2-equivalent
- Dallas 43.66 Tonnes of CO2-equivalent
- Nagoya 43.46 Tonnes of CO2-equivalent
- San Francisco (Greater) 39.7 Tonnes of CO2-equivalent
- Kern 34.85 Tonnes of CO2-equivalent
- Philadelphia (Greater) 33.79 Tonnes of CO2-equivalent
- San Joaquin 29.73 Tonnes of CO2-equivalent
- Washington (Greater) 29.16 Tonnes of CO2-equivalent
- Detroit (Greater) 28.76 Tonnes of CO2-equivalent
- Boston 25.99 Tonnes of CO2-equivalent
- Durango 25.56 Tonnes of CO2-equivalent
- Torreon 25.53 Tonnes of CO2-equivalent
- Mexico City 23.82 Tonnes of CO2-equivalent
- Montreal 23.32 Tonnes of CO2-equivalent
- Las Vegas 22.91 Tonnes of CO2-equivalent
- Denver 22.9 Tonnes of CO2-equivalent
- Ulsan 22.79 Tonnes of CO2-equivalent
- Jefferson (AL) 22.26 Tonnes of CO2-equivalent
- Seattle 22.07 Tonnes of CO2-equivalent
- Orange 22.05 Tonnes of CO2-equivalent
- Monterrey 22.03 Tonnes of CO2-equivalent
- London 21.69 Tonnes of CO2-equivalent
About this data
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