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Proposals for 2001 samples of anonymized records: An assessment of disclosure risk

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  • Angela Dale
  • Mark Elliot

Abstract

In 1991 Marsh and co‐workers made the case for a sample of anonymized records (SAR) from the 1991 census of population. The case was accepted by the Office for National Statistics (then the Office of Population Censuses and Surveys) and a request was made by the Economic and Social Research Council to purchase the SARs. Two files were released for Great Britain—a 2% sample of individuals and a 1% sample of households. Subsequently similar samples were released for Northern Ireland. Since their release, the files have been heavily used for research and there has been no known breach of confidentiality. There is a considerable demand for similar files from the 2001 census, with specific requests for a larger sample size and lower population threshold for the individual SAR. This paper reassesses the analysis of Marsh and co‐workers of the risk of identification of an individual or household in a sample of microdata from the 1991 census and also uses alternative ways of assessing risks with the 1991 SARs. The results of both the reassessment and the new analyses are reassuring and allow us to take the 1991 SARs as a base‐line against which to assess proposals for changes to the size and structure of samples from the 2001 census.

Suggested Citation

  • Angela Dale & Mark Elliot, 2001. "Proposals for 2001 samples of anonymized records: An assessment of disclosure risk," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(3), pages 427-447.
    • Handle: RePEc:bla:jorssa:v:164:y:2001:i:3:p:427-447
    DOI: 10.1111/1467-985X.00212
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    Cited by:

    1. C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212, January.
    2. Kingsley Purdam & Mark Elliot, 2007. "A Case Study of the Impact of Statistical Disclosure Control on Data Quality in the Individual UK Samples of Anonymised Records," Environment and Planning A, , vol. 39(5), pages 1101-1118, May.
    3. Skinner, Chris J. & Shlomo, Natalie, 2008. "Assessing identification risk in survey microdata using log-linear models," LSE Research Online Documents on Economics 39112, London School of Economics and Political Science, LSE Library.
    4. Skinner, Chris J., 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," LSE Research Online Documents on Economics 39105, London School of Economics and Political Science, LSE Library.

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