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Creating open source geodemographics: Refining a national classification of census output areas for applications in higher education

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  • Alexander D. Singleton
  • Paul A. Longley

Abstract

This paper explores the use of geodemographic classifications to investigate the social, economic and spatial dimensions of participation in Higher Education (HE). Education is a public service that confers very significant and tangible benefits upon receiving individuals: as such, we argue that understanding the geodemography of educational opportunity requires an application‐specific classification that exploits under‐used educational data sources. We develop a classification for the UK higher education sector, and apply it to the Gospel Oak area of London. We discuss the wider merits of sector specific applications of geodemographics and enumerate the advantages of bespoke classifications for applications in public service provision. Resumen Este artículo explora el uso de clasificaciones geodemográficas para investigar las dimensiones sociales, económicas y espaciales de la participación en educación superior. La educación es un servicio público que confiere beneficios tangibles y muy significativos a los individuos que la reciben: como tal, argumentamos que entender la geodemografía de las oportunidades educativas requiere una clasificación específica para cada aplicación que explote fuentes de datos de educación infra utilizados. Desarrollamos una clasificación para el sector de educación superior del Reino Unido, y la aplicamos al área de Gospel Oak de Londres. Discutimos en general los méritos de aplicaciones sectoriales específicas de geodemografía y citamos las ventajas de clasificaciones a medida para aplicaciones en la provisión de servicios públicos.

Suggested Citation

  • Alexander D. Singleton & Paul A. Longley, 2009. "Creating open source geodemographics: Refining a national classification of census output areas for applications in higher education," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 643-666, August.
    • Handle: RePEc:bla:presci:v:88:y:2009:i:3:p:643-666
    DOI: 10.1111/j.1435-5957.2008.00197.x
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    References listed on IDEAS

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    1. Alan G Wilson, 2000. "The Widening Access Debate: Student Flows to Universities and Associated Performance Indicators," Environment and Planning A, , vol. 32(11), pages 2019-2031, November.
    2. Dan Vickers & Phil Rees, 2007. "Creating the UK National Statistics 2001 output area classification," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 379-403, March.
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    Cited by:

    1. Peter Fisher & Nicholas J Tate, 2015. "Modelling Class Uncertainty in the Geodemographic Output Area Classification," Environment and Planning B, , vol. 42(3), pages 541-563, June.
    2. Levi J Wolf & Elijah Knaap & Sergio Rey, 2021. "Geosilhouettes: Geographical measures of cluster fit," Environment and Planning B, , vol. 48(3), pages 521-539, March.
    3. Chris Brunsdon & Paul Longley & Alex Singleton & David Ashby, 2011. "Predicting participation in higher education: a comparative evaluation of the performance of geodemographic classifications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 17-30, January.
    4. Alex D Singleton, 2010. "The Geodemographics of Educational Progression and their Implications for Widening Participation in Higher Education," Environment and Planning A, , vol. 42(11), pages 2560-2580, November.
    5. A. Singleton & A. Wilson & O. O’Brien, 2012. "Geodemographics and spatial interaction: an integrated model for higher education," Journal of Geographical Systems, Springer, vol. 14(2), pages 223-241, April.
    6. Amanda Otley & Michelle Morris & Andy Newing & Mark Birkin, 2021. "Local and Application-Specific Geodemographics for Data-Led Urban Decision Making," Sustainability, MDPI, vol. 13(9), pages 1-18, April.

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