2020 Census Data Products: Data Needs and Privacy Considerations PDF Download

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309684846
Category : Social Science
Languages : en
Pages : 209

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Book Description
The Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a 2-day public workshop from December 11-12, 2019, to discuss the suite of data products the Census Bureau will generate from the 2020 Census. The workshop featured presentations by users of decennial census data products to help the Census Bureau better understand the uses of the data products and the importance of these uses and help inform the Census Bureau's decisions on the final specification of 2020 data products. This publication summarizes the presentation and discussion of the workshop.

Author: National Academies of Sciences Engineering and Medicine
Publisher:
ISBN: 9780309694100
Category :
Languages : en
Pages : 0

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Book Description
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.

Author: Josep Domingo-Ferrer
Publisher: Springer Nature
ISBN: 3030575217
Category : Computers
Languages : en
Pages : 371

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Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309051827
Category : Social Science
Languages : en
Pages : 479

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Book Description
The U.S. census, conducted every 10 years since 1790, faces dramatic new challenges as the country begins its third century. Critics of the 1990 census cited problems of increasingly high costs, continued racial differences in counting the population, and declining public confidence. This volume provides a major review of the traditional U.S. census. Starting from the most basic questions of how data are used and whether they are needed, the volume examines the data that future censuses should provide. It evaluates several radical proposals that have been made for changing the census, as well as other proposals for redesigning the year 2000 census. The book also considers in detail the much-criticized long form, the role of race and ethnic data, and the need for and ways to obtain small-area data between censuses.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309157676
Category : Social Science
Languages : en
Pages : 363

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Book Description
Planning for the 2020 census is already beginning. This book from the National Research Council examines several aspects of census planning, including questionnaire design, address updating, non-response follow-up, coverage follow-up, de-duplication of housing units and residents, editing and imputation procedures, and several other census operations. This book recommends that the Census Bureau overhaul its approach to research and development. The report urges the Bureau to set cost and quality goals for the 2020 and future censuses, improving efficiency by taking advantage of new technologies.

Author: Teresa A. Sullivan
Publisher: Springer Nature
ISBN: 3030405788
Category : Mathematics
Languages : en
Pages : 113

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Book Description
The decennial Census is the US Government's largest statistical undertaking, and it costs billions of dollars in planning, execution, and analysis. From a statistical viewpoint, it is critical because it is the only database that maps every inhabitant into a geographic location. By constitutional mandate, census data are the basis for reapportioning the House of Representatives and the Electoral College. The states use census data to redistrict their state legislatures and often to redraw boundaries for local elections. Census data inform the distribution of over $1.5 trillion in federal funding during the decade. This book details the fundamentals and significance of the 2020 Census for the non-specialist reader. It covers why the Census is the only statistical activity required by the US Constitution, the challenges of working towards an accurate and complete count, and what political ramifications flow from this process. Concise, timely, and comprehensible, this book provides helpful real-life examples while also offering an overview of the entwined statistical and political issues that surround the Census.

Author:
Publisher:
ISBN:
Category : Government questionnaires
Languages : en
Pages : 0

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Book Description

Author: National Academies Of Sciences Engineeri
Publisher: National Academies Press
ISBN: 9780309686341
Category : Social Science
Languages : en
Pages :

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Book Description
The decennial census is foundational to the functioning of American democracy, and maintaining the public's trust in the census and its resulting data is a correspondingly high-stakes affair. The 2020 Census was implemented in light of severe and unprecedented operational challenges, adjusting 2020 Census operations to the COVID-19 pandemic, natural disasters, and other disruptions. This interim report reviews and evaluates the quality of the data that were collected in the 2020 Census, as well as various process measures and indicators of data quality.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 030945428X
Category : Social Science
Languages : en
Pages : 151

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Book Description
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

Author: Josep Domingo-Ferrer
Publisher: Springer
ISBN: 9783030575205
Category : Computers
Languages : en
Pages : 370

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Book Description
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.