- Local authorities
- Local Authority GHG emissions statistics
A spatial disaggregation of GHG emissions in the UK greenhouse gas inventory (GHGI) by region and local authority are produced annually on an end–user basis. These local and regional GHG emissions estimates are produced in order to provide a nationally consistent evidence base and a consistent time series is maintained back to 2005. The statistics can be used by local authorities (LAs) and other relevant organisations as an important body of information to help identify high emitting sources of GHGs and energy intensive sectors, to monitor changes in GHG emissions over time, and to help design GHG emission reduction strategies.
This dataset is prepared on an end-user basis, which means that emissions from the production and processing of fuels, including the production of electricity, are reallocated to users of these fuels to reflect total emissions for each type of fuel consumed.
The statistics provide a breakdown of GHG emissions in key sectors, although the sector aggregation differs slightly from the sectors reported under the National and DA End User Emissions Inventories. A reconciliation report is produced each year to explain the differences between the LA, DA and UK end user datasets. There are a number of smaller methodological differences, but large sectors excluded from the LAGHG emission estimates are shipping, aviation and military transport.
The full dataset – which is classified as a National Statistic – and statistical summary can be found on the BEIS website along with supporting methodology documents. In addition, a subset of this dataset (further excluding emissions from EU ETS and UK ETS, motorways, railways and LULUCF) is prepared for emissions within the scope of influence of the Local Authorities, previously known as National Indicator 186.
A more detailed breakdown of emissions and removals from land use, land-use change and forestry in the "UK local authority and regional carbon dioxide emissions national statistics: 2005 to 2019" is available to download.
This dataset is available from the BEIS website.
Page last modified: 26 July 2022