As the leading source of data about the nation’s people and the economy, the Census Bureau’s mission is to provide high quality data while honoring the privacy and protecting the confidentiality of its survey respondents. Legal mandates aside, the Census Bureau needs to maintain the trust of the nation without which it will not be able to gather quality data and achieve high response rates. Thus the Census Bureau applies disclosure avoidance techniques to its data products prior to public release in order to protect the confidentiality of its survey respondents. This paper discusses three disclosure avoidance techniques that are currently used: cell suppression, data swapping and synthetic data.
Disclosure Avoidance, Data Dissemination, Confidentiality
Ramanayake, Asoka and Laura Zayatz. (2010). Balancing Disclosure Risk with Data Quality. Statistical Research Division Research Report Series (Statistics #2010-04). U.S. Census Bureau. Available online at <http://www.census.gov/srd/papers/pdf/rrs2010-04.pdf>.
[PDF] or
denotes a file in Adobe’s Portable Document Format. To view the file, you will need the Adobe® Reader®
available free from Adobe.
This symbol
indicates a link to a non-government web site. Our linking to these sites does not constitute an endorsement of any products, services or the information found on them. Once you link to another site you are subject to the policies of the new site.