This proceedings summarizes the presentations and discussions at the Workshop on the 2020 Census Demographic and Housing Characteristics File, held June 21-22, 2022. The workshop was convened by the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine to assist the U.S. Census Bureau with its new disclosure avoidance system for 2020 Census data products, which implements algorithms providing differential privacy. The workshop focused specifically on the Demographic and Housing Characteristics File, a major source of data for local governments, particularly those with small populations, and many other data users in the federal, state, academic, and business sectors. The intent was to garner feedback from users on the usability of the privacy-protected data by evaluating DHC demonstration files produced with the proposed TopDown Algorithm on 2010 Census data. Table of ContentsFront Matter1 Introduction2 Data Equity and Communication Strategies3 Overview of Disclosure Avoidance and Census Data Products4 Evaluation of the Demonstration Data on Age5 Evaluation of the Demonstration Data on Housing and Tenure6 Evaluation of the Demonstration Data on Small Areas and Populations7 Evaluation of the Demonstration Data in Public Health8 Privacy Concerns9 Observations on Use Cases and Needs10 Statutory Requirements and Resource Allocation11 Reflections and Ideas for Moving ForwardReferencesAppendix A: Public Meeting Agenda1Appendix B: Committee and Speaker BiosketchesCommittee on National Statistics
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