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A longitudinal area classification of migration in Great Britain: Testing the application of Group-Based
Caroline Kienast-von Einem1,2, Jenna Panter1, Alice Reid2
1MRC Epidemiology Unit University of Cambridge Cambridge UK.
Population, Space and Place
|March 5, 2024
Summary
Understanding population migration patterns is crucial. This study uses Group-Based Multi-Trajectory Modelling (GBMTM) to classify migration in Great Britain, revealing distinct neighbourhood clusters and trends over 30 years.
Area of Science:
- Demography
- Human Geography
- Sociology
Background:
- Population migration significantly impacts geographical distribution and demographic composition.
- Understanding migration patterns is vital for addressing challenges in service provision, social cohesion, and public health.
- Existing area classifications often lack direct migration measures or longitudinal perspectives.
Purpose of the Study:
- To develop a longitudinal, migration-specific classification of areas in Great Britain.
- To address limitations of existing cross-sectional and general-purpose area classifications.
- To utilize Group-Based Multi-Trajectory Modelling (GBMTM) for analysing migration dynamics.
Main Methods:
- Employed Group-Based Multi-Trajectory Modelling (GBMTM).
- Utilized U.K. census data from 1981 to 2011.
- Created a longitudinal classification based on six migration indicators.
Main Results:
- Identified six distinct migration clusters in Great Britain.
- Revealed trends such as 'studentifying' neighbourhoods and migrant influx into inner cities.
- Observed a North-South divide in mover tenure linked to income selectivity, with common urban distribution patterns.
Conclusions:
- The GBMTM classification offers a novel, longitudinal perspective on migration patterns.
- This method highlights trends not captured by traditional classifications.
- The generated classification provides new opportunities to study migration's effects on various outcomes.
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