Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste in Daegu
Daegu: Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste was 0.71 Tonnes of CO2-equivalent in 2024. ▲ Rising
Greenhouse gas emissions - Cities and FUAs — GHG emissions from waste in Daegu, 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 from waste in Daegu stood at 0.71 Tonnes of CO2-equivalent.
Compared with earlier readings it is up 1.4% on the previous year and up 24.6% over ten years.
Over the whole period, greenhouse gas emissions - cities and fuas — ghg emissions from waste in Daegu peaked at 0.76 Tonnes of CO2-equivalent in 2021 and was at its lowest, 0.46 Tonnes of CO2-equivalent, in 1990.
Daegu ranks 56th 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.544 Tonnes of CO2-equivalent | 0.46 Tonnes of CO2-equivalent | 0.61 Tonnes of CO2-equivalent | 10 |
| 2000s | 0.572 Tonnes of CO2-equivalent | 0.55 Tonnes of CO2-equivalent | 0.59 Tonnes of CO2-equivalent | 10 |
| 2010s | 0.592 Tonnes of CO2-equivalent | 0.56 Tonnes of CO2-equivalent | 0.64 Tonnes of CO2-equivalent | 10 |
| 2020s | 0.732 Tonnes of CO2-equivalent | 0.7 Tonnes of CO2-equivalent | 0.76 Tonnes of CO2-equivalent | 5 |
More environment data for Daegu
- Drought - Cities and FUAs — Land soil moisture anomaly -10.3 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -10.44 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -10.34 Percentage change (2025)
- River flooding exposure — Cropland share exposed to river flooding 14.65 Percentage of agricultural land area (2022)
- Land surface temperature - Cities and FUAs — Daytime summer land 30.76 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime winter land 6.26 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Daytime yearly land 18.09 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime summer land 21.09 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime winter land -2.01 Degrees celsius (2024)
- Land surface temperature - Cities and FUAs — Nighttime yearly land 7.84 Degrees celsius (2024)
Frequently asked questions
- What is greenhouse gas emissions - cities and fuas — ghg emissions from waste in Daegu?
- Greenhouse gas emissions - cities and fuas — ghg emissions from waste in Daegu was 0.71 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 from waste recorded in Daegu?
- The highest recorded value was 0.76 Tonnes of CO2-equivalent in 2021.
- What is the lowest greenhouse gas emissions - cities and fuas — ghg emissions from waste recorded in Daegu?
- The lowest recorded value was 0.46 Tonnes of CO2-equivalent in 1990.
- How does Daegu rank for greenhouse gas emissions - cities and fuas — ghg emissions from waste?
- Daegu ranks 56th out of 1316 regions with data for 2024.
- Is greenhouse gas emissions - cities and fuas — ghg emissions from waste rising or falling in Daegu?
- Over the last ten years it is up 24.6%. The long-run trend across the full record is rising.
- Where does this Daegu 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 from waste. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 35 observations, free to reuse under OECD Terms and Conditions (attribution required).
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