Analysing perceived limiting long-term illness using UK Census microdata

M. Gould; Jones K.

doi:10.1016/0277-9536(95)00184-0

Analysing perceived limiting long-term illness using UK Census microdata

M. Gould
, Jones K.

Research output: Contribution to journal › Article › peer-review

Abstract

The 1991 Census of England, Wales and Scotland is an improvement on previous censuses in providing fine-grained detail on the geography of limitinglong-termillness. Another innovation of the 1991 Census is the release of a Sample of Anonymized Records (SARs). These provide a considerable sample of detailed data on individuals at the sub-regional level. This paper explores individual and geographical variations in morbidity through a multilevel analysis of the SARs. Geographical differences in morbidity are found even after allowing for age, sex, ethnicity, housing tenure, social class and car ownership.

Original language	English
Pages (from-to)	857-869
Number of pages	13
Journal	Social Science and Medicine
Volume	42
Issue number	6
DOIs	https://doi.org/10.1016/0277-9536(95)00184-0
Publication status	Published - Mar 1996

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title = "Analysing perceived limiting long-term illness using UK Census microdata",

abstract = "The 1991 Census of England, Wales and Scotland is an improvement on previous censuses in providing fine-grained detail on the geography of limitinglong-termillness. Another innovation of the 1991 Census is the release of a Sample of Anonymized Records (SARs). These provide a considerable sample of detailed data on individuals at the sub-regional level. This paper explores individual and geographical variations in morbidity through a multilevel analysis of the SARs. Geographical differences in morbidity are found even after allowing for age, sex, ethnicity, housing tenure, social class and car ownership.",

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AB - The 1991 Census of England, Wales and Scotland is an improvement on previous censuses in providing fine-grained detail on the geography of limitinglong-termillness. Another innovation of the 1991 Census is the release of a Sample of Anonymized Records (SARs). These provide a considerable sample of detailed data on individuals at the sub-regional level. This paper explores individual and geographical variations in morbidity through a multilevel analysis of the SARs. Geographical differences in morbidity are found even after allowing for age, sex, ethnicity, housing tenure, social class and car ownership.

U2 - 10.1016/0277-9536(95)00184-0

DO - 10.1016/0277-9536(95)00184-0

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EP - 869

JO - Social Science and Medicine

JF - Social Science and Medicine

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Analysing perceived limiting long-term illness using UK Census microdata

Abstract

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