Greenhouse gas emissions - Cities and FUAs — GHG emissions total in Weld
Weld: Greenhouse gas emissions - Cities and FUAs — GHG emissions total was 14.26 Tonnes of CO2-equivalent in 2024. ▲ Rising
Greenhouse gas emissions - Cities and FUAs — GHG emissions total in Weld, 1990–2024
Source: Organisation for Economic Co-operation and Development. Measured in Tonnes of CO2-equivalent.
Analysis
In 2024, greenhouse gas emissions - cities and fuas — ghg emissions total in Weld stood at 14.26 Tonnes of CO2-equivalent.
That represents a change of up 0.9% on the previous year and up 14.7% over ten years.
Over the whole period, greenhouse gas emissions - cities and fuas — ghg emissions total in Weld peaked at 14.74 Tonnes of CO2-equivalent in 2013 and was at its lowest, 9.46 Tonnes of CO2-equivalent, in 1991.
Weld ranks 46th of 1316 regions on this measure, in the top 10%.
The long-run direction has been consistently rising across the 35 years of available data.
Greenhouse gas emissions - Cities and FUAs — GHG emissions total in Weld, year by year
| Year | Tonnes of CO2-equivalent | Change |
|---|---|---|
| 1990 | 9.49 Tonnes of CO2-equivalent | — |
| 1991 | 9.46 Tonnes of CO2-equivalent | -0.3% |
| 1992 | 9.54 Tonnes of CO2-equivalent | +0.8% |
| 1993 | 9.76 Tonnes of CO2-equivalent | +2.3% |
| 1994 | 10.27 Tonnes of CO2-equivalent | +5.2% |
| 1995 | 10.23 Tonnes of CO2-equivalent | -0.4% |
| 1996 | 10.4 Tonnes of CO2-equivalent | +1.7% |
| 1997 | 10.52 Tonnes of CO2-equivalent | +1.2% |
| 1998 | 10.85 Tonnes of CO2-equivalent | +3.1% |
| 1999 | 10.87 Tonnes of CO2-equivalent | +0.2% |
| 2000 | 11.39 Tonnes of CO2-equivalent | +4.8% |
| 2001 | 11.44 Tonnes of CO2-equivalent | +0.4% |
| 2002 | 11.31 Tonnes of CO2-equivalent | -1.1% |
| 2003 | 11.2 Tonnes of CO2-equivalent | -1.0% |
| 2004 | 11.71 Tonnes of CO2-equivalent | +4.6% |
| 2005 | 11.72 Tonnes of CO2-equivalent | +0.1% |
| 2006 | 11.95 Tonnes of CO2-equivalent | +2.0% |
| 2007 | 12.56 Tonnes of CO2-equivalent | +5.1% |
| 2008 | 12.67 Tonnes of CO2-equivalent | +0.9% |
| 2009 | 12.33 Tonnes of CO2-equivalent | -2.7% |
| 2010 | 12.47 Tonnes of CO2-equivalent | +1.1% |
| 2011 | 13.1 Tonnes of CO2-equivalent | +5.1% |
| 2012 | 13.09 Tonnes of CO2-equivalent | -0.1% |
| 2013 | 14.74 Tonnes of CO2-equivalent | +12.6% |
| 2014 | 12.43 Tonnes of CO2-equivalent | -15.7% |
| 2015 | 13.21 Tonnes of CO2-equivalent | +6.3% |
| 2016 | 12.54 Tonnes of CO2-equivalent | -5.1% |
| 2017 | 13.02 Tonnes of CO2-equivalent | +3.8% |
| 2018 | 13.63 Tonnes of CO2-equivalent | +4.7% |
| 2019 | 13.27 Tonnes of CO2-equivalent | -2.6% |
| 2020 | 13.52 Tonnes of CO2-equivalent | +1.9% |
| 2021 | 13.17 Tonnes of CO2-equivalent | -2.6% |
| 2022 | 14.07 Tonnes of CO2-equivalent | +6.8% |
| 2023 | 14.13 Tonnes of CO2-equivalent | +0.4% |
| 2024 | 14.26 Tonnes of CO2-equivalent | +0.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 10.14 Tonnes of CO2-equivalent | 9.46 Tonnes of CO2-equivalent | 10.87 Tonnes of CO2-equivalent | 10 |
| 2000s | 11.83 Tonnes of CO2-equivalent | 11.2 Tonnes of CO2-equivalent | 12.67 Tonnes of CO2-equivalent | 10 |
| 2010s | 13.15 Tonnes of CO2-equivalent | 12.43 Tonnes of CO2-equivalent | 14.74 Tonnes of CO2-equivalent | 10 |
| 2020s | 13.83 Tonnes of CO2-equivalent | 13.17 Tonnes of CO2-equivalent | 14.26 Tonnes of CO2-equivalent | 5 |
More climate change data for Weld
- Air temperature, hot days, tropical nights and icing days - Cities 14.72 Degrees celsius (2025)
- Air temperature, hot days, tropical nights and icing days - Cities 5.25 Degrees celsius (2025)
- Climate projections by scenario, 2030–2060 – Cities and FUAs 11.69 Degrees celsius (2060)
- Climate projections by scenario, 2030–2060 – Cities and FUAs 1.34 Degrees celsius (2060)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from 6.63 Tonnes of CO2-equivalent (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from 0.64 Tonnes of CO2-equivalent (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from 1.05 Tonnes of CO2-equivalent (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from 0.8 Tonnes of CO2-equivalent (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from power 4.25 Tonnes of CO2-equivalent (2024)
- Greenhouse gas emissions - Cities and FUAs — GHG emissions from road 1.1 Tonnes of CO2-equivalent (2024)
Frequently asked questions
- What is greenhouse gas emissions - cities and fuas — ghg emissions total in Weld?
- Greenhouse gas emissions - cities and fuas — ghg emissions total in Weld was 14.26 Tonnes of CO2-equivalent in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest greenhouse gas emissions - cities and fuas — ghg emissions total recorded in Weld?
- The highest recorded value was 14.74 Tonnes of CO2-equivalent in 2013.
- What is the lowest greenhouse gas emissions - cities and fuas — ghg emissions total recorded in Weld?
- The lowest recorded value was 9.46 Tonnes of CO2-equivalent in 1991.
- How does Weld rank for greenhouse gas emissions - cities and fuas — ghg emissions total?
- Weld ranks 46th out of 1316 regions with data for 2024.
- Is greenhouse gas emissions - cities and fuas — ghg emissions total rising or falling in Weld?
- Over the last ten years it is up 14.7%. The long-run trend across the full record is rising.
- Where does this Weld data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Greenhouse gas emissions - Cities and FUAs — GHG emissions total (excl. aviation and shipping). Statizoid updates them automatically from the source API.
Download this data
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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