Area Sampling

  • Richard Valliant
  • Jill A. Dever
  • Frauke Kreuter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)


Area sampling is a catchall term for a set of procedures in which geographic areas are selected as intermediate units on the way to sampling lower-level units that are the targets of a survey. The chapter contains geographic summaries of data on population counts, demographic distributions, and other detailed estimates that are used in sample design in lieu of a population registry. We discuss composite size measures for the PSUs that are particularly useful in accomplishing the design goals for domains at the element level while keeping cost in check. Given the amount of time to develop an area frame and to select units at lower sampling stages, we discuss methods for addressing differences between the frame and what can be found in the field. Finally, the chapter also reviews a relatively new type of sampling methodology known as address-based sampling, which can reduce or eliminate the need for field-listing of households before sampling.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Richard Valliant
    • 1
    • 2
  • Jill A. Dever
    • 3
  • Frauke Kreuter
    • 2
    • 4
  1. 1.University of MichiganAnn ArborUSA
  2. 2.University of MarylandCollege ParkUSA
  3. 3.RTI InternationalWashington, DCUSA
  4. 4.University of MannheimMannheimGermany

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