Opportunity
Federal Register #12050359
Department of Labor requests comments on revised Benefit Timeliness and Quality information collection
Buyer
Employment and Training Administration
Posted
August 19, 2026
Respond By
October 19, 2026
Identifier
12050359
NAICS
541690
The Department of Labor's Employment and Training Administration (ETA) is seeking public comments on a proposed revision to its Benefit Timeliness and Quality information collection request. - Government Buyer: - Department of Labor, Employment and Training Administration (ETA) - Products/Services Requested: - Information collection and data reporting services related to unemployment insurance benefit payments - Revision of ETA 9056 report to add new issue codes and align with ETA 207 Nonmonetary Determination Activities Report - Forms involved: ETA9050, ETA9051, ETA9052, ETA9054, ETA9055, ETA9056, ETA9057, Handbook 382 - Respondents: - State Workforce Agencies (estimated 53 agencies, 28,516 annual responses) - Unique/Notable Requirements: - Accurate identification and categorization of issue codes - Alignment of determination categories across multiple reports - Focus on improving timeliness and quality of administrative actions - No OEMs or commercial vendors are involved, as this is an information collection request, not a product or service procurement.
Description
The Department of Labor's Employment and Training Administration (ETA) is requesting comments on a proposed revision for the authority to conduct the information collection request (ICR) titled "Benefit Timeliness and Quality." This effort is part of ongoing initiatives to reduce paperwork and respondent burden in accordance with the Paperwork Reduction Act of 1995. The BTQ program collects and analyzes data measuring the timeliness and quality of states' administrative actions and decisions related to unemployment insurance benefit payments. Proposed revisions include updates to the ETA 9056 report to incorporate additional issue codes and ensure alignment with related reports, enhancing accuracy and consistency in data collection.