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Confidentiality Protection in the 2020 U.S. Census of Population and Housing
Confidentiality Protection in the 2020 U.S. Census of Population and Housing
Working Paper Number CED-WP-2022-003
Abstract
In an era where external data and computational capabilities far exceed statistical agencies’ own resources and capabilities, they face the renewed challenge of protecting the confidentiality of underlying microdata when publishing statistics in very granular form and ensuring that these granular data are used for statistical purposes only. Conventional statistical disclosure limitation methods are too fragile to address this new challenge. This article discusses the deployment of a differential privacy framework for the 2020 US Census that was customized to protect confidentiality, particularly the most detailed geographic and demographic categories, and deliver controlled accuracy across the full geographic hierarchy.
Page Last Revised - January 13, 2023
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