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Estimating the Socioeconomic Characteristics of School Populations with the Aid of Pupil Postcodes and Small-Area Census Data: An Appraisal

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  • Alex Gibson

    (Department of Geography, Exeter University, Amory Building, Rennes Drive, Exeter, Devon EX4 4RJ, England)

  • Sheena Asthana

    (University of Plymouth, Plymouth, England)

Abstract

It is becoming increasingly important to understand the social and economic circumstances under which schools operate. Benchmarking school performance targets, contextualising performance outcomes, and Ofsted inspections all rely upon measures of the socioeconomic status of school populations. These tend to utilise administrative data—such as the percentage of pupils eligible for free school meals—or census data for the ward or neighbourhood of wards in which a school is located. This last approach brings to bear the remarkable wealth of information contained within the census, but it suffers from the fact that schools seldom draw their pupils exclusively, or even predominately, from their immediate hinterlands. The authors discuss a method of estimating the socioeconomic characteristics of school populations which, using a program called NCP Profiler to link individual pupil postcodes with census data at the enumeration district level, is sensitive to the manner in which schools actually recruit students—an increasingly important consideration as the quasi-market in education leads to the effective dismantling of geographically defined school catchment areas.

Suggested Citation

  • Alex Gibson & Sheena Asthana, 2000. "Estimating the Socioeconomic Characteristics of School Populations with the Aid of Pupil Postcodes and Small-Area Census Data: An Appraisal," Environment and Planning A, , vol. 32(7), pages 1267-1285, July.
  • Handle: RePEc:sae:envira:v:32:y:2000:i:7:p:1267-1285
    DOI: 10.1068/a3276
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    References listed on IDEAS

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    1. S. Gorard, 1997. "Market Forces, Choice and Diversity in Education: The Early Impact," Sociological Research Online, , vol. 2(3), pages 137-146, September.
    2. Krieger, N., 1992. "Overcoming the absence of socioeconomic data in medical records: Validation and application of a census-based methodology," American Journal of Public Health, American Public Health Association, vol. 82(5), pages 703-710.
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    1. Judith Watson & Andrew Church, 2009. "The Social Effects of Travel to Learn Patterns - A Case Study of 16-19 Year Olds in London," Local Economy, London South Bank University, vol. 24(5), pages 389-414, August.
    2. Chris Taylor & Stephen Gorard, 2001. "The Role of Residence in School Segregation: Placing the Impact of Parental Choice in Perspective," Environment and Planning A, , vol. 33(10), pages 1829-1852, October.

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