FR 2024-28269

Overview

Title

Agency Information Collection Activities; Submission to the Office of Management and Budget (OMB) for Review and Approval; Comment Request; Spatial, Address, and Imagery Data Program

Agencies

ELI5 AI

The U.S. Census Bureau wants to hear what people think about their program to keep maps and address lists up-to-date so they can do a good job counting everyone in the country. They collect this information with help from different government groups, but it's not clear how they use feedback to make things better or if they're spending money wisely.

Summary AI

The U.S. Census Bureau is seeking public comments on the Spatial, Address, and Imagery Data Program (SAID) as part of a regular review process. This program helps keep the U.S. Census Bureau’s geographic data up-to-date, which is crucial for accurate census surveys and data collection. The Census Bureau collaborates with various governmental bodies to gather address lists, street centerlines, and imagery. Feedback from partners is used to improve and streamline the program, which is entirely voluntary and governed by specific legal authorities.

Type: Notice
Citation: 89 FR 95733
Document #: 2024-28269
Date:
Volume: 89
Pages: 95733-95733

AnalysisAI

The document presented is a notice from the U.S. Census Bureau, part of the Department of Commerce, announcing the continuation and revision of the Spatial, Address, and Imagery Data Program (SAID). This program is crucial for collecting geographic data that supports census operations across the United States. Public feedback is being solicited to ensure that the program remains efficient and effective, compliant with the Paperwork Reduction Act of 1995.

General Summary

The SAID program, under review, is vital for keeping the Census Bureau's geographical data accurate and current. This involves gathering address lists, street centerlines, and other imagery. Collaboration occurs with various governmental entities, including Tribal, State, county, and local governments, to enhance the Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System. The data collated helps in the logistics of census operations and accurate demographic analysis.

Significant Issues or Concerns

The document, however, raises several issues and ambiguities:

  1. Lack of Cost Transparency: There is no detailed breakdown of costs associated with the SAID Program’s activities, potentially masking inefficiencies or areas of excessive spending that require attention.

  2. Unclear Feedback Outcomes: The document mentions incorporating participant feedback but does not articulate how this feedback will tangibly reduce burdens or improve the program.

  3. Complex Procedures: The processes described for data collection and updating are intricate and may require additional explanation or support, especially for partners lacking technical expertise.

  4. Technical Language: The notice employs specialized geographic data terminology, which could be difficult for individuals without a background in data management or geography to fully understand.

  5. Prioritization Concerns: There is an absence of criteria detailing how areas with inadequate data will be prioritized, which may result in unequal data distribution efforts.

  6. Assessment Challenges: The document does not specify how improvements to the MAF/TIGER System will be evaluated regarding accuracy or efficiency, presenting challenges in assessing the program’s success.

Impact on the Public

Broadly, this initiative impacts the public by striving for more accurate census and survey data. The census results influence federal funding allocation, congressional representation, and community planning. Hence, the effectiveness and efficiency of the SAID Program are critically linked to public welfare, ensuring resources are apportioned fairly and efficiently.

Impact on Stakeholders

For participating governmental bodies, the program offers an opportunity to keep their geographic data current, aiding in local planning and development efforts. However, the technical nature and lack of clear guidance may pose participation challenges, particularly for smaller or less-resourced entities.

Moreover, concerns about possible unequal prioritization and a lack of transparency in data application could deter participation or support from stakeholders. Conversely, improving efficiency through partner feedback could mitigate these perceptions and enhance program effectiveness, leading to broader collaboration and better data quality across the board.

In conclusion, while the SAID Program is pivotal in maintaining the integrity of the Census Bureau's geographic data, its success hinges on addressing the identified concerns, offering more transparent processes, and ensuring equitable participation across all stakeholder groups.

Issues

  • • The document lacks a specific cost breakdown for the SAID Program and its activities, which makes it difficult to identify potential wasteful spending.

  • • There is no detailed explanation of how feedback from the participants will concretely reduce future burdens, making it unclear how effective this addition will be.

  • • The process described for collecting and updating geographic data is complex and may be difficult for some partners to fully understand without additional guidance or support.

  • • The language used throughout is technical, which could be inaccessible to a general audience without specialized knowledge of geographic data collection and management.

  • • The document does not specify how the Census Bureau will prioritize areas with inadequate coverage or data, which could lead to potential biases in data collection.

  • • The notice does not detail how the changes to MAF/TIGER System will be measured in terms of improved accuracy or efficiency, which makes it difficult to assess the success of the program updates.

Statistics

Size

Pages: 1
Words: 1,130
Sentences: 40
Entities: 80

Language

Nouns: 422
Verbs: 90
Adjectives: 60
Adverbs: 12
Numbers: 39

Complexity

Average Token Length:
5.12
Average Sentence Length:
28.25
Token Entropy:
5.22
Readability (ARI):
20.35

Reading Time

about 4 minutes