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general-election-2024

The Centre for Cities constituency data tool provides local economic data for every parliamentary constituency in Great Britain. This repo contains the master sheet for the tool.

Description

The Centre for Cities constituency data tool combines combines different datasets to the new constituency map for the 2024 general election. This tool is available here: https://www.centreforcities.org/data/constituency-data-tool/

Much of this data is not currently available at the constituency level, so Centre for Cities has used data at small geographies (LSOAs) and assigned it to the new constituencies where they overlap.

This repo contains the final mastersheet produced for this tool for every constituency in Great Britain as a CSV, plus some additional data on housing affordability, tenure, and age. The full workbook is available on request.

Understanding the Data

There are 26 different indicators in this dataset, including:

Method

Constituencies have been classified as either urban (conforming with the Centre for Cities 2015 Primary Urban Area [PUA] boundaries, built out of local authorities with a daytime [workplace] population greater than 135,000); hinterland (within commutable distance of each PUA, varying across the country) and more rural (outside of commuting distance of a PUA) according to their LSOAs.

LSOAs have been allocated to the seat in which a majority of their area lies.

Each indicator is constructed from the LSOAs assigned to each constituency, with the LSOA values used as both the numerator and the denominator for each constituency. For example, if there are 25000 people with poor health in the LSOAs that make up a constituency, and the total population of those LSOAs is recorded as 70000, then 36% of the population will be recorded as being in poor health in the constituency. This is effectively a weighted average for each seat.

Caveats

Some data uses 2011 values as the most recent 2021 Census contains data quality issues, especially around commuting, due to being conducted during the middle of the Covid pandemic. As a result, the WFH estimates can broadly be considered an underestimate. WFH is also excluded from the "commuting to city" estimates due to the construction of the Census questions - columns D - H will sum to 100% as a result.

The Housing Affordability Ratio are indicative, because incomes data instead of wages data is used at the LSOA level due to availability. As a result, this means people outside the labour market or marginally attached to it, such as pensioners and students, who often won't use the labour market to access the housing market, are included in the income estimates, which will translate into over-estimates at the upper-end for the HAR. House prices may be a stronger choice for analysis on housing affordability across seats.

Centre for Cities has previously identified that there are issues with the Census 2021 population estimates at subnational geographies. Unfortunately, there is little that can be done about this without a 2026 corrections Census or until the 2031 Census, but a pinch of salt should be taken with any estimates for individual constituencies: https://www.centreforcities.org/blog/the-case-for-a-2026-corrections-census/

Acknowledgements

Paul Swinney for conducting the original analysis, Viola Pititto for building the original tool

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General Election 2024 Constituency Data Tool Master Sheet

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