APProjects/us-historical-layoffs-archive-warn-act-notices-removed-from-state-websites

Historical US layoffs archive: 6,799 WARN Act notices that state websites no longer list (2000-2025), recovered

Rebuilt 2026-09-14. Five state labor agencies — Connecticut, Michigan, New York, North Carolina and Pennsylvania — retired the web pages their older WARN Act layoff notices lived on. Their current pages start years later. This dataset is every notice in our file that came from one of those retired pages and is not on the agency's live page today: 6,799 notices, 6,694 dated (2000-01-06 → 2025-07-23), 105 undated, 755,240 workers affected as printed by the agencies.

It is a cut of the same daily rebuild as us-warn-act-layoffs-notices-daily (61,309 notices, 48 jurisdictions). We publish it separately because it is the part of that file nobody can rebuild by scraping: the source pages are gone, and the rows here were recovered from Internet Archive captures (or, for North Carolina, from the agency's own archived yearly PDFs) and normalised into the same schema as the live rows. A fork of our scraper gets the live rows; it does not get these.

Where each state's rows came from

State	Agency	Retired page the rows were recovered from	What the agency's live page lists today	Rows here	Dated range
MI	Michigan Department of Labor and Economic Opportunity	milmi.org WARN listings (HTML tables 2016-2025, yearly PDFs 2000-2015)	notices from November 2024	2,086	2000-01-06 → 2025-07-23
PA	Pennsylvania Department of Labor & Industry	dli.pa.gov one-page-per-month WARN listings (2011-2024)	notices received from November 2022	1,585	2011-02-01 → 2023-03-03
NY	New York State Department of Labor	labor.ny.gov/app/warn ASP application, year lists + one page per notice (2001-2015)	notices from 2016	1,497	2001-06-14 → 2014-12-30
CT	Connecticut Department of Labor	www.ctdol.state.ct.us annual WARN tables (2010-2025)	notices from September 2025	844	2010-01-04 → 2025-06-20
NC	North Carolina Department of Commerce	commerce.nc.gov WARN summary report archives, one PDF per year (2014-2021)	notices from 2022	787	2014-01-13 → 2021-12-29

The date range is the range of the notices we recovered, not the years the agency was required to publish. Undated rows are kept (Pennsylvania's retired pages printed only the month received; some North Carolina summary reports printed no received date) — counted, never invented.

Notices recovered, by year

year	notices
2000	82
2001	203
2002	131
2003	123
2004	229
2005	76
2006	101
2007	112
2008	139
2009	559
2010	421
2011	476
2012	328
2013	217
2014	607
2015	232
2016	277
2017	254
2018	316
2019	260
2020	1,101
2021	120
2022	90
2023	95
2024	113
2025	32
(undated)	105

Columns

column	meaning
id	stable row id, identical to the id in the full daily dataset
state	two-letter state
company / company_canonical	employer as printed / alias-merged canonical name
location	as printed by the agency (city, county or workforce region — the retired page decides)
notice_date	date the agency received or dated the notice, YYYY-MM-DD, empty when the page printed none
effective_date	first layoff / closing date the agency printed, empty when none
year	year of notice_date, else effective_date, else empty
employees_affected	headcount as printed
notice_type	agency's classification as printed (layoff, closing, …), often empty
agency, retired_page, live_page_starts, recovered_via	provenance of the row

How to use it

# whole cut as CSV (6,799 rows)
curl -sL "https://huggingface.co/datasets/APProjects/us-historical-layoffs-archive-warn-act-notices-removed-from-state-websites/resolve/main/data/warn_notices_archive_only.csv" -o warn_notices_archive_only.csv

from datasets import load_dataset
ds = load_dataset("APProjects/us-historical-layoffs-archive-warn-act-notices-removed-from-state-websites")

Join back to the full archive on id. The same rows are also inside the free daily CSV/JSON on the site and the GitHub repo, flagged in coverage.json as archive_only_rows per state.

Caveats, plainly

• Recovered from archived copies of agency pages. Where a capture was missing a notice, that notice is missing here; the per-state rows count is what we hold, not what was ever filed.
• Coverage of the retired pages is itself uneven (see the table); New York's per-notice pages are still being recovered daily, so this file grows.
• No employer-level completeness claim: an employer absent here may simply have filed in a year whose page was never captured.
• Which states publish anything at all, and how deep each live portal goes, is its own dataset: which-us-states-publish-warn-act-layoff-notices-coverage.

A layoff record you can audit, not just download

This dataset is one cut of a single daily rebuild: 61,309 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 2026-09-14; 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:

• 567 field-level changes, logged every day since 2026-08-31. data/revisions.csv records each time a state agency edited a notice after publishing it — employee counts, effective dates, notice types, company names — with the old value, the new value and the date we saw the change. A scrape that starts tomorrow cannot backfill this; 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 →

Look something up right now — free, no signup, nothing to install. Check any employer or state against the last 180 days → 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 →

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 · what you get
• Try it free for 30 days, no card · Buy — $49/year

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. Payments are handled by Gumroad as merchant of record, so an invoice can carry your company name.

Source, scrapers and methodology · the 48-state site