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Estimating temporary populations.

S K Smith

    Applied Demography
    |July 1, 1994
    PubMed
    Summary
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    Estimating temporary population movements is challenging. Robert Schmitt

    Area of Science:

    • Demography
    • Population Studies
    • Urban Planning

    Background:

    • Tracking temporary population shifts like commuting and business travel presents significant logistical challenges.
    • Existing methodologies often struggle with data availability for small geographic areas.

    Purpose of the Study:

    • To examine the difficulties in tracking temporary short-term population movements.
    • To evaluate the contributions of statistician Robert Schmitt's methodology for estimating daytime populations.

    Main Methods:

    • Analysis of Robert Schmitt's methodology for estimating daytime populations.
    • Review of data sources utilized in Schmitt's approach.
    • Identification of limitations in data for temporary residents.
    Keywords:
    AmericasArea AnalysisBehaviorCommerceCommutingData SourcesDemographic FactorsDeveloped CountriesEconomic FactorsEstimation TechnicsHawaiiMacroeconomic FactorsMigrationNorth AmericaNorthern AmericaPopulationPopulation DynamicsPopulation Growth EstimationResearch MethodologyTemporary MigrationUnited States

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    Main Results:

    • Schmitt's methodology effectively used widely available, annual data for small areas, enabling cost-effective, frequent updates.
    • The primary limitation identified is the scarcity of robust data on temporary residents for control totals and historical baselines.

    Conclusions:

    • Schmitt's work provided a valuable framework for estimating daytime populations using accessible data.
    • Improved data on temporary residents is crucial for refining population estimates and understanding mobility patterns.