Local level estimates of food, drink and tobacco expenditure for Great Britain.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
13 May 2019
Historique:
received: 15 11 2018
accepted: 29 03 2019
entrez: 16 5 2019
pubmed: 16 5 2019
medline: 15 8 2020
Statut: epublish

Résumé

We present expenditure estimates for 106 product categories across Great Britain for the years 2008-2016. Estimates are at the Local Authority District level (n = 380) and the categories cover all food, drink and tobacco commodities. Reliable, local level expenditure estimates are crucial for understanding broader market trends, assessing economic stability and for projections. This is especially important for commodities such as alcohol, tobacco and unhealthy foods due to their role in the prevalence of non-communicable diseases. There has been relatively little research into local area spatial patterns of expenditure, with existing estimates often of insufficient resolution for informing planning decisions. We use spatial microsimulation to create an archive of expenditure datasets. This was achieved by linking socio-demographic foundations with detailed datasets on individual expenditure. Whilst initially developed to aid investigations into sociodemographic trends in the meat industry, the data have reuse potential in a number of disciplines, including public health, economics, retail geography and environmental management. The framework could be applied to other regions with appropriate data.

Identifiants

pubmed: 31086192
doi: 10.1038/s41597-019-0064-z
pii: 10.1038/s41597-019-0064-z
pmc: PMC6513822
doi:

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

56

Subventions

Organisme : RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)
ID : BB/N020790/1
Pays : International
Organisme : RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)
ID : BB/N020790/1
Pays : International
Organisme : RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)
ID : BB/N020790/1
Pays : International

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Sci Data. 2019 May 13;6(1):56
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Auteurs

William H M James (WHM)

School of Geography and Leeds Institute for Data Analytics, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK. w.h.m.james@leeds.ac.uk.

Nik Lomax (N)

School of Geography and Leeds Institute for Data Analytics, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK.

Mark Birkin (M)

School of Geography and Leeds Institute for Data Analytics, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK.

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Classifications MeSH