Using house sales transactions data to identify potentially gentrifying neighbourhoods

This paper describes initial work seeking to identify locales of neighbourhood gentrification. It summarises house sales transactions over MSOAs, compares average annual house price with neighbouring areas over a 10 year period, and uses a time series analysis to identify neighbourhoods with high rates of change of these as potential gentrifying neighbourhoods. The next steps are to link to analyses of social media data to characterise the nature of the observed neighbourhood change. A number of areas of further work are described and a number of critical considerations are discussed.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15225193
Primary Topic
Urban Planning and Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

Using house sales transactions data to identify potentially gentrifying neighbourhoods

Zenodo (CERN European Organization for Nuclear Research)
Urban Planning and Governance
article

Using house sales transactions data to identify potentially gentrifying neighbourhoods

article en

Abstract

This paper describes initial work seeking to identify locales of neighbourhood gentrification. It summarises house sales transactions over MSOAs, compares average annual house price with neighbouring areas over a 10 year period, and uses a time series analysis to identify neighbourhoods with high rates of change of these as potential gentrifying neighbourhoods. The next steps are to link to analyses of social media data to characterise the nature of the observed neighbourhood change. A number of areas of further work are described and a number of critical considerations are discussed.

Zenodo (CERN European Organization for Nuclear Research)
University of Leeds (GB), University of Auckland (NZ), Vietnam National University, Hanoi (VN), VNU University of Science (VN)
Sustainable cities and communities
Openalex Percentile: Top 49%
Urban Planning and Governance
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