FR 2024-31249

Overview

Title

Submission for OMB Review; Comment Request

Agencies

ELI5 AI

The Agriculture Department wants to collect information about how many animals are being processed daily in the U.S. to help with market reports. They are asking people to give their thoughts on this plan by January 29, 2025, to make it better.

Summary AI

The Department of Agriculture has submitted a request to the Office of Management and Budget (OMB) for review and approval of an information collection requirement under the Paperwork Reduction Act. This request aims to gather data related to the Daily Livestock Slaughter under Federal Inspection, which helps in marketing and statistical reporting. The collection is authorized by the Agricultural Marketing Act and involves participants from businesses, households, and farms responding frequently to ensure timely and accurate market insights. Comments on this collection are encouraged by January 29, 2025, to improve its usefulness and efficiency.

Type: Notice
Citation: 89 FR 106413
Document #: 2024-31249
Date:
Volume: 89
Pages: 106413-106413

AnalysisAI

The document from the Department of Agriculture, identified by document number 2024-31249, announces a submission to the Office of Management and Budget (OMB) for approval of an information collection concerning the estimation of daily livestock slaughter under federal inspection. This submission is part of the agency's responsibilities under the Paperwork Reduction Act. The information collected aims to provide valuable insights for stakeholders in the U.S. agricultural industry, primarily benefiting buyers and sellers who can make informed marketing decisions based on timely and accurate data.

General Summary

The submission to the OMB focuses on collecting data essential for compiling and disseminating market reports, which offer current, unbiased information to those involved in the trade of agricultural products like livestock, poultry, and meat. The Agricultural Marketing Service is seeking feedback by January 29, 2025, to enhance the quality, utility, and clarity of the information collected and to minimize the burden on respondents. The targeted participants include businesses, individuals, households, and farms that routinely engage with livestock marketing processes.

Significant Issues and Concerns

There are several notable issues present in the document. Firstly, the metadata lacks an abstract, which would typically summarize the notice's main goal in a succinct manner. Without it, readers may find it harder to grasp the immediate context. Additionally, the document does not specify the 'action' field in its metadata, which might leave readers unclear about the precise activity proposed or required by this notice.

The explanation of the methodology and assumptions used in the data collection process could benefit from further clarification. A more straightforward breakdown might be helpful for readers who are less technically informed. Moreover, the description of the respondents is somewhat vague, grouping varied parties, such as businesses and individuals, without specifying their distinct roles or obligations.

Lastly, the document does not address the consequences of comments submitted past the January 29, 2025 deadline. This omission could lead to misunderstandings about the effect or acceptability of late submissions.

Impact on the Public Broadly

For the general public, particularly those with interests tied to agriculture and livestock markets, this document outlines an opportunity to voice their thoughts on how such data is gathered and utilized. By providing feedback, they can potentially influence the efficiency and effectiveness of data collection, thereby ensuring it reflects current market needs more accurately.

Impact on Specific Stakeholders

Positive Impact: Businesses, farms, and individual stakeholders within the agricultural sector stand to gain significant benefits from the collection of this data. Access to real-time, objective market information may improve their bargaining power and decision-making processes. Furthermore, since the government purchases substantial quantities of meat, having a reliable system to monitor and report data could lead to more informed procurement strategies.

Negative Impact: The stakeholders required to provide this information might perceive the data collection as burdensome, especially if it demands frequent updates. Moreover, any lack of clarity about data collection methodologies or respondent roles could contribute to confusion or inefficiencies in providing the requested information.

Overall, this document aims to refine the existing systems of data collection to better meet the expectations and needs of the agricultural industry, potentially leading to more effective marketing strategies and better informed economic decisions. However, addressing the noted issues could further streamline compliance and enhance the utility of the collected data.

Issues

  • • The document lacks an abstract in the metadata, which could provide a concise summary of the notice's purpose.

  • • The specific 'action' field in metadata is not defined, leaving the exact nature of agency activity unclear.

  • • The use of terms such as 'methodology and assumptions' could be ambiguous; specific examples or a breakdown could improve clarity.

  • • The explanation of the necessity of information collection under the section 'Plan for Estimating Daily Livestock Slaughter...' is dense and could be simplified for better understanding.

  • • The description of the respondents is broad ('Business or other for-profit; Individuals or households; Farms') and could benefit from more specificity to clarify who is expected to respond.

  • • The document does not clarify what happens if the comments are received after January 29, 2025, which might create ambiguity regarding late submissions.

Statistics

Size

Pages: 1
Words: 804
Sentences: 24
Entities: 37

Language

Nouns: 268
Verbs: 78
Adjectives: 40
Adverbs: 11
Numbers: 24

Complexity

Average Token Length:
5.23
Average Sentence Length:
33.50
Token Entropy:
5.11
Readability (ARI):
23.66

Reading Time

about 3 minutes