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SDC in the 2000 U.S. Decennial Census

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2316))

Abstract

This paper describes the statistical disclosure limitation techniques to be used for all U.S. Census 2000 data products. It includes procedures for short form tables, long form tables, public use microdata files, and an online query system for tables. Procedures include data swapping, rounding, noise addition, collapsing categories, and applying thresholds. Procedures for the short and long form tables are improvements on what was used for the 1990 decennial census. Several procedures we will be using for the microdata are new and will result in less detail than was published from the 1990 decennial census. Because we did not previously have the online query system for tables, all of those procedures are newly developed.

This paper reports the results of research and analysis undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This report is released to inform interested parties of ongoing research and to encourage discussion of work in progress.

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References

  1. Griffin, R., Navarro, F., and Flores-Baez, L. (1989), “Disclosure Avoidance for the 1990 Census,” Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 516–521.

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  2. Rowland, S. and Zayatz, L. (2001), “Automating Access with Confidentiality Protection: The American FactFinder,” Proceedings of the Section on Government Statistics, American Statistical Association, to appear.

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© 2002 Springer-Verlag Berlin Heidelberg

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Zayatz, L. (2002). SDC in the 2000 U.S. Decennial Census. In: Domingo-Ferrer, J. (eds) Inference Control in Statistical Databases. Lecture Notes in Computer Science, vol 2316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47804-3_16

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  • DOI: https://doi.org/10.1007/3-540-47804-3_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43614-0

  • Online ISBN: 978-3-540-47804-1

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