Abstract
At a time when the future of the traditional population census in the United Kingdom is uncertain, increasing attention is being paid to the availability of data on geo-social processes, such as population migration, from alternative and less familiar administrative and survey sources. In this paper, we report on research using data which provides some valuable information about migration behaviour in connection with other demographic and lifestyle characteristics obtained from several large geo-referenced cross-sectional annual sample surveys of the British population originating from the commercial sector. In particular, the paper uses a method of sample weighting to compensate for potential biases related to unequal probabilities of selection. The findings suggest, however, that the unweighted commercial microdata can be used in migration modelling to give reassuringly reliable estimates of associational patterns of key demographic, socio-economic and behavioural/lifestyle characteristics.
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Notes
Internal Migration Around the GlobE (http://www.gpem.uq.edu.au/image)
The results of this comparison can be provided by the first author on request.
Modelled results where the mover is defined as someone who has moved to the address in the prior 12 months, but regardless of whether they provided a previous address, suggest almost identical results to those shown in this paper. The results of these comparisons can be provided by the first author on request.
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Acknowledgments
The research in this paper was undertaken under the TALISMAN programme funded by the ESRC. The authors are grateful to Acxiom Ltd., and to Clare Woodvine in particular, for providing the data sets upon which the research is based as well as Alison Manson for re-drawing the figure.
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Appendix: Marginal Population Totalsr
Appendix: Marginal Population Totalsr
N.B. All subtotals are later adjusted to meet the 18+ Mid-2005 Population Estimates for Great Britain (N = 45,775,200) which themselves reflect ONS revisions due to improved migration measures.
Government Office Region (GOR) totals
GOR | Population |
North East A | 2,074,000 |
North West B | 5,503,900 |
Yorkshire D | 4,124,800 |
East Midlands E | 3,503,600 |
West Midlands F | 4,282,800 |
East of England G | 4,472,800 |
London H | 6,046,000 |
South East J | 6,591,200 |
South West K | 4,158,400 |
Wales W | 2,384,500 |
Scotland X | 4,165,800 |
GB total (16+) | 47,307,800 |
Source: Table 8 Mid-2005 Population Estimates: Selected age groups for local authorities in the United Kingdom; estimated resident population. Office for National Statistics, General Register Office for Scotland.
Age Group Totals
Age group | Population |
18–24 | 5,345,300 |
25–29 | 3,651,700 |
30–34 | 4,051,100 |
35–39 | 4,511,800 |
40–44 | 4,475,300 |
45–49 | 3,926,300 |
50–54 | 3,566,800 |
55–59 | 3,812,400 |
60–64 | 3,030,100 |
65–69 | 2,641,800 |
70+ | 6,762,600 |
GB total (18+) | 45,775,200 |
Source: Table 2 Mid-2005 Population Estimates: Great Britain; estimated resident population by single year of age and sex; reflecting revisions due to improved migration. Office for National Statistics, General Register Office for Scotland.
Sex Group Totals
Sex | Population |
Male | 22,118,300 |
Female | 23,656,600 |
GB total (18+) | 45,774,900 |
Source: Table 2 Mid-2005 Population Estimates: Great Britain; estimated resident population by single year of age and sex; reflecting revisions due to improved migration. Office for National Statistics, General Register Office for Scotland.
Mover Status Group Totals
Length of residence | Population |
Less than 12 months | 4,032,346 |
More than 12 months | 39,344,060 |
GB total (18+) | 43,376,406 |
Source: Quarterly Labour Force Survey Household Dataset, April—June, 2005. Weight: Person household weight. Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queen's Printer for Scotland.
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Thomas, M., Stillwell, J. & Gould, M. Exploring and Validating a Commercial Lifestyle Survey for its use in the Analysis of Population Migration. Appl. Spatial Analysis 7, 71–95 (2014). https://doi.org/10.1007/s12061-013-9096-5
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DOI: https://doi.org/10.1007/s12061-013-9096-5