About this Dataset

Estimates of greenhouse gas emissions using the Chow-Lin regression-based temporal disaggregation method, quarterly data. These are official statistics in development.

Edition in this dataset

Quarter 4 (Oct to Dec) 2023 edition of this dataset

Quarter 3 (July to September) 2023 edition of this dataset

Quarter 2 (Apr to Jun) 2023 edition of this dataset

Quarter 1 (Jan to Mar) 2023 edition of this dataset

Previous versions of this data are available.

December 2022 edition of this dataset

Important notes and usage information

  • These experimental estimates of greenhouse gas emissions have been modelled using the Chow-Lin regression based temporal disaggregation method. 

  • Currently, all the predictor indicators used in our modelling are taken from the  Department for Energy Security and Net Zero (DESNZ), Energy trends publication.

  • The seasonally adjusted emissions estimates are modelled using X13ARIMA-SEATS.

  • These estimates are experimental - their methodology is under development and so these estimates are subject to change.

  • The Air Emission Accounts include only direct emissions, defined as ‘scope 1’ under the GHG protocol guidance.

  • Due to the method used to estimate these series, quarterly estimates of greenhouse gas (GHG) and carbon dioxide (CO2) emissions from consumer expenditure should not be calculated by subtracting the estimates of GHG/CO2 emissions minus consumer expenditure (Table 2 and 4) from the total GHG/CO2 series (Table 1 and 3).

  • Consumer expenditure refers to the consumption of fuels and other products by individuals in the UK, as opposed to the production of these by industry.

  • Emission intensity is calculated as the total emissions divided by gross valve added at basic prices, chained volume measures with (2019) as the base and reference year. 

Contact details for this dataset

Environmental Accounts team
+44 1633 456660