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IRS county-to-county migration data, 1990‒2010

Author

Listed:
  • Mathew Hauer

    (Florida State University)

  • James Byars

    (University of Georgia)

Abstract

Background: The county-to-county migration data of the Internal Revenue Service’s (IRS) is an incredible resource for understanding migration in the United States. Produced annually since 1990 in conjunction with the US Census Bureau, the IRS migration data represents 95% to 98% of the tax-filing universe and their dependents, making the IRS migration data one of the largest sources of migration data. However, any analysis using the IRS migration data must process at least seven legacy formats of this public data across more than 2000 data files – a serious burden for migration scholars. Objective: To produce a single, flat data file containing complete county-to-county IRS migration flow data and to make the computer code to process the migration data freely available. Methods: This paper uses R to process more than 2,000 IRS migration files into a single, flat data file for use in migration research. Contribution: To encourage and facilitate the use of this data, we provide a single, standardized, flat data file containing county-to-county one-year migration flows for the period 1990–2010 (containing 163,883 dyadic county pairs resulting in 3.2 million county-year observations totaling over 343 million migrants) and provide the full R script to download, process, and flatten the IRS migration data.

Suggested Citation

  • 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.
    • Handle: RePEc:dem:demres:v:40:y:2019:i:40
    DOI: 10.4054/DemRes.2019.40.40
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    References listed on IDEAS

    as
    1. Katherine Curtis & Elizabeth Fussell & Jack DeWaard, 2015. "Recovery Migration After Hurricanes Katrina and Rita: Spatial Concentration and Intensification in the Migration System," Demography, Springer;Population Association of America (PAA), vol. 52(4), pages 1269-1293, August.
    2. Raven Molloy & Christopher L. Smith & Abigail Wozniak, 2011. "Internal Migration in the United States," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 173-196, Summer.
    3. Christopher Henrie & David Plane, 2008. "Exodus from the California Core: Using Demographic Effectiveness and Migration Impact Measures to Examine Population Redistribution Within the Western United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 43-64, February.
    4. Guy Abel, 2013. "Estimating global migration flow tables using place of birth data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(18), pages 505-546.
    5. Raven Molloy & Christopher L. Smith & Abigail Wozniak, 2017. "Job Changing and the Decline in Long-Distance Migration in the United States," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 631-653, April.
    6. 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.
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    Cited by:

    1. Amy O'Hara & Stephanie Straus & Ron Borzekowski & Paul Arnsberger & Barry Johnson, 2024. "A Secure Query System to Improve Access to Individual Income Tax Data," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    2. Madeleine I. G. Daepp, 2022. "Small-area moving ratios and the spatial connectivity of neighborhoods: Insights from consumer credit data," Environment and Planning B, , vol. 49(3), pages 1129-1146, March.
    3. Jack DeWaard & Mathew Hauer & Elizabeth Fussell & Katherine J. Curtis & Stephan D. Whitaker & Kathryn McConnell & Kobie Price & David Egan-Robertson & Michael Soto & Catalina Anampa Castro, 2022. "User Beware: Concerning Findings from the Post 2011–2012 U.S. Internal Revenue Service Migration Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(2), pages 437-448, April.

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    More about this item

    Keywords

    migration; database; R; Internal Revenue Service (IRS);
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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