PlainLayoffs

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Independent data publisher

PlainLayoffs publishing Organization

Background

PlainLayoffs is a data journalism portal that tracks and analyzes mass-layoff notices filed under state WARN Act statutes and U.S. Department of Labor public reporting. Filings are ingested programmatically and rendered into readable profiles of employer events, industries, and states directly from a structured database; figures are computed from the filed notices and revised when agencies update them. PlainLayoffs maintains the data pipeline, methodology, and written guides independently and accepts no payment from any covered employer or industry group.

This profile identifies the publisher responsible for every published extract, including tables above 1,000 rows when the corpus is that large. See the source rules in our methodology; this is a named publisher, not a synthetic collective.

How to use this site

PlainLayoffs publishes reference material, data-driven pages, and explanatory tools. Use the source information, assumptions, limitations, and methodology shown on the individual page to decide whether it fits your situation.

Published information can summarize source data or provide an estimate; it is not professional financial, medical, legal, or engineering advice. For an important decision, compare the relevant page with a primary source or a qualified professional.

How information is presented

Pages that present data or estimates identify the available source, method, and material limitations. Results can differ from real-world outcomes because inputs, rules, rates, rounding, data coverage, and individual circumstances vary.

The methodology page explains the site-level approach and limitations. Check the source information on the page you are using rather than treating site-wide wording as a substitute for the current source.

Feedback

If you find an error, stale figure, or missing context on any page we publish, please use the contact page or write to hello@plainlayoffs.com with the URL and the issue.

Areas of focus

  • mass layoffs
  • notice data
  • public dataset analysis

Contact and identity