National consumption-based emissions of households are typically disaggregated using consumption and expenditure microdata. This data collection contains neighbourhood- and product-level per capita household emissions for the year 2016 estimated using an input-output methodology and three such consumption and expenditure datasets for subnational disaggregation. These datasets include the Output Area Classification (a publicly available geodemographic classification), the Living Costs and Food Survey (an openly available expenditure survey), and a commercial household expenditure dataset by TransUnion. Data are available for Lower and Middle Layer Super Output Areas in England and Wales, to Data Zones and Intermediate Geographies in Scotland and to Super Output Areas and Wards in Northern Ireland. Product-level data are available at Classification of Individual Consumption by Purpose (COICOP) 2 and 3 levels.In light of an increased involvement of local actors in climate change mitigation, understanding local greenhouse gas emission trends is vital. Particularly in countries and cities with high consumption-based footprints, recognising how local consumption contributes to global and national emissions is key for effective emission reduction. Typically, national emissions are disaggregated using consumption and expenditure microdata. To assess the reliability of such an approach, this research generates emission estimates using three UK microdata datasets from the year 2016 and compares their emission outputs, when levels of spatial and product details are high. These datasets include the Output Area Classification (a publicly available geodemographic classification), the Living Costs and Food Survey (an openly available expenditure survey), and a commercial household expenditure dataset by TransUnion. Per capita greenhouse has emissions are estimated for UK Lower and Middle Super Output Areas using all three datasets, in order to assess the impact microdata selection can have on emission estimates.

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