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.
Upcoming 2020 Census Data Products
We’ve now released the apportionment counts and redistricting data — the first two waves of 2020 Census results. But we’re just getting started.
Próximos productos de datos del Censo del 2020
Este blog describe los planes actuales para los productos de datos del Censo del 2020 y cómo proporcionar comentarios
Memorandum 2020.07: Formal Privacy Methods for the 2020 Census
This memorandum releases the final version of the Formal Privacy Methods for the 2020 Census Report.
Memorandum 2019.13: Disclosure Avoidance System Design Parameters
This memorandum documents several decisions related to the design of the 2018 E2E Census Test DAS and a Privacy-Loss Budget for the test.
We appreciate your engagement and encourage you to email comments and suggestions to 2020DAS@census.gov.