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Does Administrative Data Reflect Individual Experience? Comparing an Index of Poverty with Individually Collected Data on Financial Well-being in a Multi-Ethnic Community

Published online by Cambridge University Press:  04 November 2015

Stephanie L. Prady
Affiliation:
Department of Health Sciences, University of York E-mail: stephanie.prady@york.ac.uk
Karen Bloor
Affiliation:
Department of Health Sciences, University of York E-mail: karen.bloor@york.ac.uk
Jonathan Bradshaw
Affiliation:
Department of Social Policy and Social Work, University of York E-mail: jonathan.bradshaw@york.ac.uk
Helena Tunstall
Affiliation:
School of GeoSciences, University of Edinburgh E-mail: htunsta2@staffmail.ed.ac.uk
Emily S. Petherick
Affiliation:
Bradford Institute for Health Research, Bradford Royal Infirmary E-mail: emily.petherick@bthft.nhs.uk
Kate E. Pickett
Affiliation:
Department of Health Sciences, University of York E-mail: kate.pickett@york.ac.uk

Abstract

The Income Deprivation Affecting Children Index (IDACI) uses administrative data to count children living in households in receipt of both in-work and out-of-work means-tested benefits and provides small area ranking as an indicator of child poverty in neighbourhoods. Benefit take-up rates within an area will affect its reliability. We aimed to examine benefit take-up rates and compare area ranking by the IDACI with ranking using individually reported data across areas of varying ethnic composition. Mothers living in areas with high minority ethnic density were less likely to report claiming a benefit than those in majority White or mixed areas, despite reporting lower incomes. The correlation between self-reported material difficulties and worsening IDACI rank was much lower in areas characterised by minority ethnic populations. Further investigation into the performance of area-based deprivation measures in areas with high minority ethnic density is needed.

Type
Articles
Copyright
Copyright © Cambridge University Press 2015 

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Does Administrative Data Reflect Individual Experience? Comparing an Index of Poverty with Individually Collected Data on Financial Well-being in a Multi-Ethnic Community
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