The confidentiality protections we call “disclosure avoidance” have evolved over time to keep pace with emerging threats. Since the 1990 Census we’ve added “noise”—or small, random changes—to the collected data.
Learn more about why and how we’re modernizing our protections and how you can engage in the process.
Continue to check this webpage for the newest information and resources about our disclosure avoidance planning.
Modern computers and today’s data-rich world have rendered the Census Bureau’s traditional confidentiality protection methods obsolete. Those legacy methods are no match for hackers aiming to piece together the identities of the people and businesses behind published data.
A powerful new disclosure avoidance system (DAS) designed to withstand modern re-identification threats will protect 2020 Census data products (other than the apportionment data; those state-level totals remain unaltered by statistical noise).
The 2020 DAS is based on a framework for assessing privacy risk known as differential privacy. It is the only solution that can respond to this threat while maximizing the availability and utility of published census data.
Learn more about the disclosure avoidance system in the resources below.
Learn more about the development of demonstration data and performance metrics for each of the planned data products.
We appreciate your engagement and encourage you to email comments and suggestions to 2020DAS@census.gov.