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Understanding the 1996 census migration data.

M Bell, M Stratton

    Journal of the Australian Population Association
    |September 28, 2002
    PubMed
    Summary
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    Australian Census data offers two migration measurement methods, but differences in variables and classifications can significantly alter migration patterns. Inconsistencies in the 1996 Census data require careful examination and potential solutions.

    Area of Science:

    • Demography
    • Social Statistics
    • Geographic Information Systems

    Background:

    • The Australian Census collects migration data through distinct methods.
    • Understanding migration patterns is crucial for policy and planning.
    • Previous census data analyses have highlighted potential inconsistencies.

    Purpose of the Study:

    • To analyze the discrepancies between different migration measurement approaches in the Australian Census.
    • To identify the sources of anomalies in the 1996 Census migration data.
    • To propose methods for mitigating these data inconsistencies.

    Main Methods:

    • Comparative analysis of migration indicators and geographic classification data from the Australian Census.
    • Examination of questionnaire design and processing methodologies impacting migration data.
    Keywords:
    AustraliaCensusCensus MethodsClassificationData AnalysisData CollectionData QualityData SourcesDemographic FactorsDeveloped CountriesMeasurementMigrationMigration, Internal--determinantsOceaniaPopulationPopulation DynamicsPopulation StatisticsResearch Methodology

    Related Experiment Videos

  • Quantification of anomalies between census migration variables.
  • Main Results:

    • Significant variations in apparent migration intensity and patterns were observed due to differing variables and classifications.
    • Inconsistencies were identified between 1996 Census migration indicators and usual address information.
    • The magnitude and sources of these anomalies were quantified.

    Conclusions:

    • The Australian Census migration data requires careful interpretation due to potential variations.
    • Methodological choices in data collection and processing can introduce significant biases.
    • Addressing these data anomalies is essential for accurate migration research.