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A methodological strategy for a one-number census in the UK.

J J Brown, I D Diamond, R L Chambers

    Journal of the Royal Statistical Society. Series A, (Statistics in Society)
    |September 28, 2002
    PubMed
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    To improve census accuracy, the one-number census (ONC) project was developed. It uses a census coverage survey (CCS) to measure and adjust for underenumeration in the 2001 census.

    Area of Science:

    • Demography
    • Statistical Methodology
    • Population Studies

    Background:

    • Lessons from the 1991 UK census highlighted the need for improved census methodology.
    • Underenumeration remains a significant challenge in achieving complete population coverage.
    • The goal is to maximize coverage in the 2001 census and account for unavoidable undercounts.

    Purpose of the Study:

    • To introduce the one-number census (ONC) project.
    • To detail the design and analysis methodology of the census coverage survey (CCS).
    • To provide results for evaluating the robustness of the ONC methodology.

    Main Methods:

    • Development of the one-number census (ONC) project.
    • Design of a comprehensive census coverage survey (CCS).
    Keywords:
    CensusCensus MethodsData AdjustmentDeveloped CountriesError SourcesEstimation TechnicsEuropeEvaluationMeasurementMethodological StudiesNorthern EuropePopulation StatisticsResearch MethodologySampling StudiesStudiesUndercountUnited Kingdom

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  • Application of statistical methods for underenumeration measurement and adjustment.

    • Main Results:

    • The paper presents an overview of the ONC project and its CCS component.
    • Methodological details for the CCS design and analysis are provided.
    • Results are included to assess the reliability of the proposed methodology.

    Conclusions:

    • The ONC project aims to provide a more accurate population count by addressing underenumeration.
    • The CCS is a critical tool for measuring and adjusting census undercounts.
    • The presented methodology offers a robust framework for improving census data quality.