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2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop - National Academies Of Sciences Engineeri - Bog

Bag om 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780309694100
  • Indbinding:
  • Paperback
  • Sideantal:
  • 156
  • Udgivet:
  • 2. juni 2023
  • Størrelse:
  • 152x0x229 mm.
  • 2-4 uger.
  • 18. december 2024
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Beskrivelse af 2020 Census Data Products: Demographic and Housing Characteristics File: Proceedings of a Workshop

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.

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