--- pretty_name: Largest US layoff events since 1988 - WARN Act notices clustered by employer license: cc-by-4.0 language: - en task_categories: - tabular-classification tags: - layoffs - largest-layoffs - biggest-layoffs - layoff-events - mass-layoffs - warn-act - warn-notices - entity-resolution - labor-market - corporate-events - public-records - government-data - alternative-data - united-states - daily-updated - tabular size_categories: - 1K ## A layoff record you can audit, not just download This dataset is one cut of a single daily rebuild: **61,330 US WARN Act layoff notices from 48 state agencies, 1988 to today**, one schema, no login, no delay, CC BY 4.0. Snapshot as of **2026-09-17**; the files above are rebuilt every day, so the live count is the truth. Several projects publish a current WARN scrape and two of them carry more rows than we do. None of them publish what the records **used to say**: - **617 observed changes to already-published notices, logged daily since 2026-08-31.** `data/revisions.csv` records every field that differed between two consecutive daily builds — employee counts, effective dates, notice types, company names — with the old value, the new value and the date we saw it. We publish the observation and not the cause: a change is equally explained by the agency amending the notice or by our own parser improving, and we do not guess which (see `data/revisions.README.txt`). A scrape that starts tomorrow cannot backfill any of it; it only exists if someone was watching. - **6,799 notices whose state agency page no longer lists them.** Agencies take notices down. We keep them, flagged as archive-only, so a count you ran last year still reconciles. - **Point-in-time employer identity.** The ticker crosswalk resolves a filer to the company as it existed at the time of the notice — Kmart, Sears Holdings, Symantec — not to whatever is on today's ticker file. If you have to defend a number to an editor, a referee or a compliance reviewer, that provenance layer is the part you cannot rebuild yourself. [How to cite this dataset →](https://github.com/APVentureEngine/warn-act-notices/blob/main/CITATION.cff) **Look something up right now — free, no signup, nothing to install.** [Check any employer or state against the last 180 days →](https://approjects-warn-act-notices.static.hf.space/watch-now.html) It runs in your browser against these same files. **Building something with it?** The same files are a free HTTP API — JSON and CSV, no key, no signup, `access-control-allow-origin: *` so `fetch()` works from a browser: [endpoints, schema and curl examples →](https://approjects-warn-act-notices.static.hf.space/api.html) **Need one industry only?** The same filings, cut by an auditable employer-name rule (each row keeps the rule that fired): [tech companies](https://huggingface.co/datasets/APProjects/us-tech-company-layoffs-warn-act-notices-daily) · [hospitals & healthcare](https://huggingface.co/datasets/APProjects/us-hospital-healthcare-layoffs-warn-act-notices-daily) · [retail store closings](https://huggingface.co/datasets/APProjects/us-retail-store-closings-layoffs-warn-act-notices-daily) · [restaurants & hotels](https://huggingface.co/datasets/APProjects/us-restaurant-hotel-closings-layoffs-warn-act-notices-daily) · [factory & plant closings](https://huggingface.co/datasets/APProjects/us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily) · [banks, insurance & finance](https://huggingface.co/datasets/APProjects/us-bank-insurance-finance-layoffs-warn-act-notices-daily) · [warehouses, trucking & logistics](https://huggingface.co/datasets/APProjects/us-warehouse-trucking-logistics-layoffs-warn-act-notices-daily) · [all 20 sectors](https://huggingface.co/datasets/APProjects/us-layoffs-by-industry-sector-warn-act). **Or have it watch a list for you.** Coming back to look is the part a CSV cannot do. **WARN Watch — $49 for a year**, one payment, nothing auto-renews, 14-day refund, no login: up to 500 employer names plus whole states, matched on every daily refresh, delivered to a private alert page + calendar (.ics) + RSS + an optional Slack / Discord / Teams webhook. Every alert carries that employer's whole filing history from the archive, which a keyword rule on an RSS feed cannot see. There is no built-in email — we do not claim one. - [See a real alert page before paying](https://approjects-warn-act-notices.static.hf.space/watch-sample.html) · [what you get](https://approjects-warn-act-notices.static.hf.space/watch.html) - [Try it free for 30 days, no card](https://approj.gumroad.com/l/warn-free-watch) · [Buy — $49/year](https://approj.gumroad.com/l/warn-watch) **Not deciding today?** [Join the update list →](https://approj.gumroad.com/subscribe) — one email when a new dataset or tier is published; nothing promotional. A state added or a column renamed ships in the [daily release](https://github.com/APVentureEngine/warn-act-notices/releases) instead, no address needed. The list is shared across APProjects datasets, holds an email address only, is run by Gumroad, and any message unsubscribes you. Rather give no address at all? [Watch the repo's releases](https://github.com/APVentureEngine/warn-act-notices/subscription) — GitHub notifies you on every daily republish, and a new state or changed field is in those notes the day it lands. **Reaching a human.** WARN Feed is published by APProjects, an automated data publisher — that is stated plainly rather than dressed up. Corrections, coverage gaps, schema questions and refund requests all go here and are read: [open an issue](https://github.com/APVentureEngine/warn-act-notices/issues/new/choose). Payments are handled by Gumroad as merchant of record, so an invoice can carry your company name. [Source, scrapers and methodology](https://github.com/APVentureEngine/warn-act-notices) · [the 48-state site](https://approjects-warn-act-notices.static.hf.space/) Card views are counted anonymously: one 1×1 image on a public CDN, no cookies, no script, no personal data. The count is public: jsDelivr stats.