Local level estimates of food, drink and tobacco expenditure for Great Britain
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 unders...
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description | 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.
Design Type(s)
data integration objective • modeling and simulation objective • population data analysis objective
Measurement Type(s)
expenditure
Technology Type(s)
computational modeling technique
Factor Type(s)
temporal_interval
Sample Characteristic(s)
Homo sapiens • United Kingdom • anthropogenic habitat
Machine-accessible metadata file describing the reported data
(ISA-Tab format) |
doi_str_mv | 10.1038/s41597-019-0064-z |
format | Article |
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Design Type(s)
data integration objective • modeling and simulation objective • population data analysis objective
Measurement Type(s)
expenditure
Technology Type(s)
computational modeling technique
Factor Type(s)
temporal_interval
Sample Characteristic(s)
Homo sapiens • United Kingdom • anthropogenic habitat
Machine-accessible metadata file describing the reported data
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Design Type(s)
data integration objective • modeling and simulation objective • population data analysis objective
Measurement Type(s)
expenditure
Technology Type(s)
computational modeling technique
Factor Type(s)
temporal_interval
Sample Characteristic(s)
Homo sapiens • United Kingdom • anthropogenic habitat
Machine-accessible metadata file describing the reported data
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M.</au><au>Lomax, Nik</au><au>Birkin, Mark</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Local level estimates of food, drink and tobacco expenditure for Great Britain</atitle><jtitle>Scientific data</jtitle><stitle>Sci Data</stitle><addtitle>Sci Data</addtitle><date>2019-05-13</date><risdate>2019</risdate><volume>6</volume><issue>1</issue><spage>56</spage><pages>56-</pages><artnum>56</artnum><issn>2052-4463</issn><eissn>2052-4463</eissn><abstract>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.
Design Type(s)
data integration objective • modeling and simulation objective • population data analysis objective
Measurement Type(s)
expenditure
Technology Type(s)
computational modeling technique
Factor Type(s)
temporal_interval
Sample Characteristic(s)
Homo sapiens • United Kingdom • anthropogenic habitat
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31086192</pmid><doi>10.1038/s41597-019-0064-z</doi><orcidid>https://orcid.org/0000-0002-3273-4688</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 692/699/1702/393 692/700/2814 704/844/4081 706/1143 706/2808 Beverages - economics Commerce Computer applications Computer Simulation Data Descriptor Environmental management Expenditures Family Characteristics Food - economics Geography Humanities and Social Sciences Humans Income Meat Meat industry multidisciplinary Public health Science Science (multidisciplinary) Socioeconomic Factors Tobacco Tobacco Products - economics Trends United Kingdom |
title | Local level estimates of food, drink and tobacco expenditure for Great Britain |
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