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Breaking the boundaries: geographical approaches to integrating 200 years of the census

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  • Ian N. Gregory
  • Paul S. Ell

Abstract

Summary: The census and similar sources of data have been published for two centuries so the information that they contain should provide an unparalleled insight into the changing population of Britain over this time period. To date, however, the seemingly trivial problem of changes in boundaries has seriously hampered the use of these sources as they make it impossible to create long run time series of spatially detailed data. The paper reviews methodologies that attempt to resolve this problem by using geographical information systems and areal inter‐polation to allow the reallocation of data from one set of administrative units onto another. This makes it possible to examine change over time for a standard geography and thus it becomes possible to unlock the spatial detail and the temporal depth that are held in the census and in related sources.

Suggested Citation

  • Ian N. Gregory & Paul S. Ell, 2005. "Breaking the boundaries: geographical approaches to integrating 200 years of the census," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 419-437, March.
    • Handle: RePEc:bla:jorssa:v:168:y:2005:i:2:p:419-437
    DOI: 10.1111/j.1467-985X.2005.00356.x
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    References listed on IDEAS

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    1. Yukio Sadahiro, 1999. "Accuracy of areal interpolation: A comparison of alternative methods," Journal of Geographical Systems, Springer, vol. 1(4), pages 323-346, December.
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    Cited by:

    1. I. G. Shuttleworth & C. D. Lloyd & D. J. Martin, 2011. "Exploring the implications of changing census output geographies for the measurement of residential segregation: the example of Northern Ireland 1991–2001," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 1-16, January.
    2. Jose M. Pavía & Antonio López-Quílez, 2013. "Spatial vote redistribution in redrawn polling units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 655-678, June.
    3. Baker, Samuel & Biroli, Pietro & van Kippersluis, Hans & von Hinke, Stephanie, 2022. "Beyond Barker: Infant Mortality at Birth and Ischaemic Heart Disease in Older Age," IZA Discussion Papers 15291, Institute of Labor Economics (IZA).
    4. Lekkas, Peter & Howard, Natasha J & Stankov, Ivana & daniel, mark & Paquet, Catherine, 2019. "A Longitudinal Typology of Neighbourhood-level Social Fragmentation: A Finite Mixture Model Approach," SocArXiv 56x9c, Center for Open Science.
    5. Ian N. Gregory & Jordi Marti‐Henneberg & Francisco J. Tapiador, 2010. "Modelling long‐term pan‐European population change from 1870 to 2000 by using geographical information systems," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 31-50, January.
    6. David Briggs & Daniela Fecht & Kees De Hoogh, 2007. "Census data issues for epidemiology and health risk assessment: experiences from the Small Area Health Statistics Unit," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 355-378, March.
    7. Ian G Shuttleworth & Christopher D Lloyd, 2009. "Are Northern Ireland's Communities Dividing? Evidence from Geographically Consistent Census of Population Data, 1971–2001," Environment and Planning A, , vol. 41(1), pages 213-229, January.
    8. Cláudia M. Viana & Dulce Freire & Patrícia Abrantes & Jorge Rocha, 2021. "Evolution of Agricultural Production in Portugal during 1850–2018: A Geographical and Historical Perspective," Land, MDPI, vol. 10(8), pages 1-18, July.

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