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On Estimating a De Facto Population and Its Components

Author

Listed:
  • David A. Swanson

    (University of California Riverside, U.S.A.)

  • Jeff Tayman

    (University of California San Diego, U.S.A.)

Abstract
This paper deals with estimating a population that is largely defined by the fact that its size, composition, and distribution are not readily accessible from census data in the U.S. and the other countries that use the De Jure concept of population. The population in question is based on the De Facto concept, which involves the estimation of people where they are found rather than where they usually reside. In a country where the national statistical office uses the De Jure concept, estimating the De Facto population as well as its components is an important, but not easy task. It is important because of the many uses for estimates of the De Facto population; it is difficult because the data that can be used to estimate a De Facto population are skimpy. In an effort to develop this field of population estimation more fully we provide an equation to define the De Facto population as well as an example of its use. We describe and discuss each of the components of this equation and also provide examples of estimates of its direct components and an implied component ¨C the daytime population. Although we view a population impacted by a disaster as distinct from a De Facto population, we include a discussion of it here since many of the methods used to estimate a De Facto population are applicable.

Suggested Citation

  • David A. Swanson & Jeff Tayman, 2011. "On Estimating a De Facto Population and Its Components," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 17-31, November.
    • Handle: RePEc:bap:journl:110502
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    References listed on IDEAS

    as
    1. Paul Auken & Roger Hammer & Paul Voss & Daniel Veroff, 2006. "The American Community Survey in counties with “seasonal” populations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(3), pages 275-292, June.
    2. Stanley Smith & Christopher McCarty, 1996. "Demographic effects of natural disasters: a case study of hurricane andrew," Demography, Springer;Population Association of America (PAA), vol. 33(2), pages 265-275, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. David A. Swanson, 2022. "Forecasting a Tribal Population Using the Cohort-Component Method: A Case Study of the Hopi," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(4), pages 1831-1852, August.
    2. Peter A. Morrison & Brad Edmondson & Kristie Ferrantella & David Lockhart & Samantha Reis & Anna Tapp, 2020. "Estimating Nantucket’s Effective Population," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(3), pages 577-604, June.

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    More about this item

    Keywords

    Visitor population; Daytime population; Seasonal population; Homeless;
    All these keywords.

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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