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Big Microdata for Population Research

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  • Steven Ruggles

Abstract

This article describes an explosion in the availability of individual-level population data. By 2018, demographic researchers will have access to over 2 billion records of accessible microdata from over 100 countries, dating from 1703 to the present. Another 2 to 4 billion records will be available through restricted-access data enclaves. These new resources represent a new kind of data that will enable transformative research on demographic and economic change and the spatial organization of society. Copyright Population Association of America 2014

Suggested Citation

  • Steven Ruggles, 2014. "Big Microdata for Population Research," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 287-297, February.
    • Handle: RePEc:spr:demogr:v:51:y:2014:i:1:p:287-297
    DOI: 10.1007/s13524-013-0240-2
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    2. Casey Breen & Joshua R. Goldstein, 2022. "Berkeley Unified Numident Mortality Database: Public administrative records for individual-level mortality research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(5), pages 111-142.
    3. Carol H. SHIUE, 2016. "A Culture of Kinship: Chinese Genealogies as a Souce for Research in Demographic Economics," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 82(4), pages 459-482, December.
    4. Auke Rijpma & Jeanne Cilliers & Johan Fourie, 2020. "Record linkage in the Cape of Good Hope Panel," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 53(2), pages 112-129, April.
    5. Xi Song & Robert D. Mare, 2019. "Shared Lifetimes, Multigenerational Exposure, and Educational Mobility," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 891-916, June.
    6. Hao Dong & Cameron Campbell & Satomi Kurosu & Wenshan Yang & James Lee, 2015. "New Sources for Comparative Social Science: Historical Population Panel Data From East Asia," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 1061-1088, June.
    7. Ge, Jiaqi & Sutherland, Lee-Ann & Polhill, J. Gary & Matthews, Keith & Miller, Dave & Wardell-Johnson, Douglas, 2017. "Exploring factors affecting on-farm renewable energy adoption in Scotland using large-scale microdata," Energy Policy, Elsevier, vol. 107(C), pages 548-560.
    8. Nina Cesare & Hedwig Lee & Tyler McCormick & Emma Spiro & Emilio Zagheni, 2018. "Promises and Pitfalls of Using Digital Traces for Demographic Research," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1979-1999, October.
    9. Rodrigo Zamith & Seth C. Lewis, 2015. "Content Analysis and the Algorithmic Coder," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 307-318, May.
    10. Thiede, Brian C. & Gray, Clark, 2020. "Characterizing the indigenous forest peoples of Latin America: Results from census data," World Development, Elsevier, vol. 125(C).
    11. J. David Hacker & Evan Roberts, 2017. "The impact of kin availability, parental religiosity, and nativity on fertility differentials in the late 19th-century United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(34), pages 1049-1080.
    12. Haley, Danielle F. & Matthews, Stephen A. & Cooper, Hannah L.F. & Haardörfer, Regine & Adimora, Adaora A. & Wingood, Gina M. & Kramer, Michael R., 2016. "Confidentiality considerations for use of social-spatial data on the social determinants of health: Sexual and reproductive health case study," Social Science & Medicine, Elsevier, vol. 166(C), pages 49-56.
    13. Krzysztof Karbownik & Anthony Wray, 2019. "Educational, Labor-market and Intergenerational Consequences of Poor Childhood Health," NBER Working Papers 26368, National Bureau of Economic Research, Inc.
    14. Hanna Grol-Prokopczyk & Emese Verdes-Tennant & Mary McEniry & Márton Ispány, 2015. "Promises and Pitfalls of Anchoring Vignettes in Health Survey Research," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1703-1728, October.
    15. Youssouf Merouani & Faustine Perrin, 2022. "Gender and the long-run development process. A survey of the literature [Rethinking age heaping: A cautionary tale from nineteenth-century Italy]," European Review of Economic History, European Historical Economics Society, vol. 26(4), pages 612-641.
    16. Gołata Elżbieta, 2016. "Shift in Methodology and Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
    17. Philippe Wanner, 2021. "How well can we estimate immigration trends using Google data?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1181-1202, August.
    18. Lledó, Josep & Pavía, Jose M. & Morillas-Jurado, Francisco G., 2019. "Incorporating big microdata in life table construction: A hypothesis-free estimator," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 138-150.
    19. Elżbieta Gołata, 2016. "Shift In Methodology And Population Census Quality," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 631-658, December.
    20. Steven RUGGLES & Robert McCAA & Matthew SOBEK & Lara CLEVELAND, 2015. "The IPUMS Collaboration : Integratin and Disseminating the World’s Population Microdata," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 81(2), pages 203-216, June.

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    Keywords

    Microdata; Big data; Censuses;
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