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Pandora’s Box: The Potential and Peril of Migration Data from the American Community Survey

Author

Listed:
  • Rachel S. Franklin

    (Maryland Population Research Center, University of Maryland, College Park, rsfrankl@umd.edu)

  • David A. Plane

    (Department of Geography and Regional Development, University of Arizona, Tucson, plane@u.arizona.edu)

Abstract

The collection, dissemination, and availability of migration data for the United States are poised for an enormous change: the full-scale launch of the American Community Survey (ACS). The ACS is set to replace the long-form sample data previously collected as part of the decennial census. For migration researchers, the new survey offers the possibility of more frequently gathered migration data at a variety of spatial scales, along with annual information about the characteristics of migrants themselves. As with any shift in a data-collection process, however, the ACS could, in some aspects, fall short of what we already have. In this article, the authors first suggest elements of the ideal migration data set. They then examine the real potential, and the possible perils, of the ACS as compared to migration data researchers are already accustomed to working with. In addition to highlighting what the new ACS will (and will not) offer, the authors suggest that now is the time for regional scientists to address their basic migration data needs and to take action to ensure those needs are met.

Suggested Citation

  • Rachel S. Franklin & David A. Plane, 2006. "Pandora’s Box: The Potential and Peril of Migration Data from the American Community Survey," International Regional Science Review, , vol. 29(3), pages 231-246, July.
    • Handle: RePEc:sae:inrsre:v:29:y:2006:i:3:p:231-246
    DOI: 10.1177/0160017606289895
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    References listed on IDEAS

    as
    1. Everett Lee, 1966. "A theory of migration," Demography, Springer;Population Association of America (PAA), vol. 3(1), pages 47-57, March.
    2. Andrei Rogers & James Raymer & K. Bruce Newbold, 2003. "Reconciling and translating migration data collected over time intervals of differing widths," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(4), pages 581-601, December.
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    Citations

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    Cited by:

    1. Mathew Hauer & James Byars, 2019. "IRS county-to-county migration data, 1990‒2010," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(40), pages 1153-1166.
    2. Karen Smith Conway & Jonathan C. Rork, 2016. "How Has Elderly Migration Changed in the Twenty-First Century? What the Data Can—and Cannot—Tell Us," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1011-1025, August.
    3. repec:elg:eechap:14395_22 is not listed on IDEAS
    4. Thomas B. Foster & Mark J. Ellis & Lee Fiorio, 2018. "Foreign-born and native-born migration in the U.S.: evidence from linked IRS administrative and census survey records," Journal of Population Research, Springer, vol. 35(4), pages 467-498, December.

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