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2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a Workshop [Mīkstie vāki]

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  • Formāts: Paperback / softback, 208 pages, height x width: 229x152 mm
  • Izdošanas datums: 22-Jan-2021
  • Izdevniecība: National Academies Press
  • ISBN-10: 0309684846
  • ISBN-13: 9780309684842
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2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a WorkshopPalielināt
  • Formāts: Paperback / softback, 208 pages, height x width: 229x152 mm
  • Izdošanas datums: 22-Jan-2021
  • Izdevniecība: National Academies Press
  • ISBN-10: 0309684846
  • ISBN-13: 9780309684842
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780309684842.html
Keywords:
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.

Table of Contents



Front Matter 1 Introduction 2 Disclosure Avoidance in the 2020 Census 3 Geospatial Analyses of Social and Demographic Conditions 4 Redistricting and Related Legal Uses 5 Delivery of Government Services 6 Business and Private Sector Applications 7 Use as Denominators for Rates and Baseline for Estimates 8 Identification of Rural and Special Populations: American Indians and Alaska Natives 9 Identification of Rural and Special Populations: Small Communities, the Young, and the Elderly 10 Panel Discussion on Key Privacy Issues 11 Census Bureau's Responses and Own Analyses of 2010 Demonstration Data Products 12 Summary of Breakout Discussion Sessions References Appendixes Appendix A: Workshop Agenda and Participants Appendix B: Biographical Sketches of Planning Committee Members and External Presenters Committee on National Statistics
Acronyms and Abbreviations xix
1 Introduction
1(6)
1.1 About the Workshop
3(2)
1.2 Structure of These Proceedings
5(2)
2 Disclosure Avoidance in the 2020 Census
7(22)
2.1 The 2020 Decennial Census TopDown Disclosure Limitation Algorithm: A Report on the Current State of the Privacy Loss-Accuracy Trade-off
8(11)
2.1.1 Reason for the Change: The Simulated Database Reconstruction Attack
8(1)
2.1.2 Structure of the TopDown Algorithm
9(6)
2.1.3 Why Differential Privacy and Why the TopDown Algorithm in Specific?
15(1)
2.1.4 Choosing a Privacy-Loss Budget e
16(3)
2.2 Setting the Privacy-Loss Budget for the 2010 Demonstration Data Products
19(5)
2.3 Floor Discussion
24(5)
3 Geospatial Analyses of Social and Demographic Conditions
29(16)
3.1 Geographic Review of Differentially Private Demonstration Data
29(7)
3.1.1 Residential Segregation
30(1)
3.1.2 Differences by Geographic Level
31(2)
3.1.3 Spatial Differences
33(2)
3.1.4 Closing Thoughts
35(1)
3.2 Implications for Municipalities and School Enrollment Statistics
36(4)
3.3 Floor Discussion
40(5)
4 Redistricting and Related Legal Uses
45(14)
4.1 Redistricting and the Voting Rights Act
46(4)
4.1.1 Issues in Redistricting
46(2)
4.1.2 Voting Rights Act
48(1)
4.1.3 Polarization of Voting by Race
48(1)
4.1.4 Language Access Determinations
49(1)
4.2 Impacts on Redistricting: The Case of New Rochelle, New York
50(3)
4.2.1 Redistricting the City of New Rochelle
50(3)
4.2.2 Block-Level Data
53(1)
4.2.3 Concluding Comments
53(1)
4.3 Redistricting and Differential Privacy
53(3)
4.3.1 Equal Populations
54(1)
4.3.2 Voting Rights
54(2)
4.3.3 Concluding Comments
56(1)
4.4 Floor Discussion
56(3)
5 Delivery of Government Services
59(16)
5.1 Privatized Data in City Planning
59(4)
5.1.1 School-Age Children
60(1)
5.1.2 Seniors Living Alone
60(2)
5.1.3 Vacancy Rates
62(1)
5.1.4 Household Size
62(1)
5.2 Decennial Census, Rural Housing Data, and Differential Privacy
63(3)
5.2.1 Analysis of Differences
64(1)
5.2.2 Two Use Cases: Affordable Rural Housing and Lending to Underserved Markets
65(1)
5.3 Importance of Decennial Census for Regional Planning in California
66(5)
5.3.1 Housing Affordability
66(2)
5.3.2 Housing and Population Consistency
68(2)
5.3.3 Transportation Planning
70(1)
5.3.4 Concluding Comments
70(1)
5.4 Differential Privacy in 2020: Anticipating Impacts on Evidence-Based Public Policy at the State and Local Level
71(2)
5.5 Floor Discussion
73(2)
6 Business and Private Sector Applications
75(10)
6.1 Effects of Differentially Private Noise Injection on Survey Operations
75(2)
6.2 Census Differential Privacy and Private Sector Data Products
77(4)
6.2.1 Totals
77(2)
6.2.2 Consistency Checks
79(1)
6.2.3 Characteristics
80(1)
6.2.4 Concluding Remarks
80(1)
6.3 Calculating Floodplain Weights and Benchmarking Needs
81(1)
6.3.1 Floodplain Housing Estimates
81(1)
6.3.2 Benchmarking Existing Home Sales
81(1)
6.4 Floor Discussion
82(3)
7 Use as Denominators for Rates and Baseline for Estimates
85(12)
7.1 Public Health and Health Equity Questions
85(4)
7.1.1 Denominators
86(1)
7.1.2 Census-Derived Area-Based Metrics
87(1)
7.1.3 Time Trends
88(1)
7.1.4 Population Health and Health Equity
89(1)
7.2 Rates of Cancer Incidence and Mortality
89(2)
7.2.1 Surveillance, Epidemiology, and End Result (SEER) Program
89(1)
7.2.2 Features of Population Estimates
90(1)
7.2.3 Implications of Differential Privacy
90(1)
7.3 Impact on Critical Rate Calculations, Particularly for Small Areas and Demographic Communities
91(2)
7.3.1 Effects of Differential Privacy on Mortality Rates
91(1)
7.3.2 Socioeconomic Analysis
92(1)
7.3.3 Concluding Comments
92(1)
7.4 Housing and Population Counts: Implications for Local Estimates and Projections
93(1)
7.4.1 State-Produced Population Estimates
93(1)
7.4.2 Households with Different Service Needs
94(1)
7.4.3 Concluding Comments and Questions
94(1)
7.5 Floor Discussion
94(3)
8 Identification of Rural and Special Populations: American Indians and Alaska Natives
97(12)
8.1 Population Counts on American Indian Reservations and Alaska Native Villages, With and Without the Application of Differential Privacy
98(4)
8.1.1 Differences for American Indians on Reservations
98(3)
8.1.2 Differences for Alaska Natives in Villages
101(1)
8.1.3 Differences for Native Hawaiians and Other Pacific Islanders (NHOPI)
101(1)
8.1.4 Concluding Comments
101(1)
8.2 Impact of Differential Privacy on American Indian and Alaska Native Tribes
102(2)
8.2.1 Background
102(1)
8.2.2 Comparisons of 2010 Summary File 1 and the Demonstration Data Products
103(1)
8.2.3 Suggested Solutions
104(1)
8.3 Floor Discussion
104(5)
9 Identification of Rural and Special Populations: Small Communities, the Young, and the Elderly
109(18)
9.1 Privatized Data for Alaska Communities
109(4)
9.1.1 Alaska Geography
110(1)
9.1.2 Impacts of Differential Privacy
110(3)
9.1.3 Effects on State Programs
113(1)
9.2 Children Ages 0-4, States and Counties
113(3)
9.2.1 Background
113(1)
9.2.2 Methodology
113(1)
9.2.3 State-Level Analysis
114(1)
9.2.4 County-Level Analysis
114(1)
9.2.5 Uses of Data for Young Children
114(1)
9.2.6 Concluding Comments
115(1)
9.3 Elementary School Enrollment
116(3)
9.3.1 School District Use Cases
116(2)
9.3.2 Some Statistics
118(1)
9.3.3 Thoughts About e
118(1)
9.4 Uses of Census Data on Age in Local Planning
119(4)
9.4.1 Emergency Preparedness in New York City
119(2)
9.4.2 Age Data as Input for Many Local Uses
121(2)
9.5 Child Poverty by Local School District and Allocation of Federal Title I Funds
123(1)
9.5.1 Title I
123(1)
9.5.2 Number of School-Aged Children in Poverty
124(1)
9.5.3 Title I Funding: Eligibility and Amounts
124(1)
9.6 Floor Discussion
124(3)
10 Panel Discussion on Key Privacy Issues
127(18)
10.1 Privacy and Census Participation
129(3)
10.2 Severity of the Reidentification Threat
132(1)
10.3 Context and Privacy
133(2)
10.4 Legal Protections of Privacy
135(2)
10.5 Lessons from Privacy Work in Health Data
137(3)
10.6 Discussion
140(5)
11 Census Bureau's Responses and Own Analyses of 2010 Demonstration Data Products
145(12)
11.1 Demographic Findings of the 2010 Census Demonstration Data Products
146(7)
11.1.1 Geography
146(1)
11.1.2 Characteristics
147(4)
11.1.3 Observations
151(2)
11.2 Known Issues and Next Steps in Disclosure Avoidance System Development
153(3)
11.3 Next Steps for User Engagement
156(1)
12 Summary of Breakout Discussion Sessions
157(8)
References
163(2)
Appendixes
165
A Workshop Agenda and Participants
167(8)
B Biographical Sketches
175