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Using the SARs to add policy value to household projections.

D King, D Bolsdon

    Environment & Planning A
    |September 26, 2002
    PubMed
    Summary
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    This study explores how the Census of Population Sample of Anonymised Records can enhance traditional household projections in England. It demonstrates added value by improving accuracy and exploring housing needs, affordability, and tenure.

    Area of Science:

    • Demography
    • Urban Planning
    • Social Statistics

    Background:

    • Household projections are crucial for understanding future housing needs in England.
    • Traditional projection methods have limitations in detail and scope.
    • The Census of Population Sample of Anonymised Records (SPAR) presents opportunities to augment these projections.

    Purpose of the Study:

    • To demonstrate the added value of SPAR data for enhancing traditional household projections.
    • To explore how SPAR can improve the accuracy and detail of housing requirement forecasts.
    • To investigate the linkage between household projections and various housing-related factors.

    Main Methods:

    • Utilizing the Census of Population Sample of Anonymised Records (SPAR).
    • Applying SPAR data to test definitional sensitivity in projection outcomes.
    Keywords:
    Data CollectionData LinkageDeveloped CountriesEconomic FactorsEnglandEstimation TechnicsEuropeFamily And HouseholdGeographic FactorsHousingNeedsNorthern EuropePopulationPopulation ProjectionResearch MethodologyResidence CharacteristicsSpatial DistributionUnited Kingdom

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  • Facilitating detailed disaggregation of projected household components.
  • Linking household projections with dwelling supply, housing needs, affordability, dwelling size, and tenure.

    • Main Results:

    • SPAR data allows for testing the sensitivity of projection outcomes to different definitions.
    • It enables more granular disaggregation of projected household components.
    • SPAR facilitates better matching of household projections with dwelling supply.
    • Data linkage via SPAR reveals relationships between projections and housing backlog, affordability, size, and tenure.

    Conclusions:

    • The Census of Population Sample of Anonymised Records significantly enhances traditional household projection methods.
    • SPAR offers valuable insights into housing needs, supply, affordability, and tenure.
    • Integrating SPAR data provides a more comprehensive understanding of England's future housing landscape.