Opportunity

Federal Register #1220-0109

Request for Comment on Proposed Revision of National Longitudinal Survey of Youth 1979 Information Collection

Buyer

Bureau of Labor Statistics

Posted

September 29, 2026

Respond By

November 30, 2026

Identifier

1220-0109

NAICS

541720

The Bureau of Labor Statistics (BLS), under the Department of Labor, is seeking public input on a proposed revision to the National Longitudinal Survey of Youth 1979 (NLSY79) information collection. - Government Buyer: - Bureau of Labor Statistics (BLS), Department of Labor - Purpose: - Collect updated data from a representative sample of individuals born between 1957 and 1964 - Focus areas include labor market activities, education, training, work experience, fertility, income, program participation, artificial intelligence usage, and health - Products/Services Requested: - Administration of survey interviews for approximately 4,500 respondents - Interviews conducted via internet and telephone - Brief validation interviews for up to 2% of respondents - Unique Requirements: - Use of both self-administered and interviewer-administered survey methods - Emphasis on minimizing respondent burden through technology and clear collection instruments - Inclusion of questions on artificial intelligence usage - No OEMs or commercial vendors are specified, as this is an information collection request rather than a procurement of products or services.

Description

The Department of Labor's Bureau of Labor Statistics is soliciting comments on the proposed revision of the National Longitudinal Survey of Youth 1979 (NLSY79). This survey collects data from a representative national sample of individuals born between 1957 and 1964 to study long-term labor market outcomes. The interim survey interviews will be conducted from April to July 2027, involving approximately 4,500 respondents with questions on labor market experiences, AI usage, health, and income. The survey aims to provide timely, accurate data to inform national policy and research on education, training, work experience, fertility, income, and program participation.

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