APProjects/pennsylvania-layoffs-warn-act-notices-daily

Pennsylvania WARN Act layoff notices — every filing we hold since 2011, one CSV, rebuilt daily

1,896 Pennsylvania WARN notices — every one this dataset holds, back to 2011 — free to download in full: no paywalled years, no login, no account · most recent notice filed 2026-09-21 · state source last checked 2026-09-24T14:05Z · official source: Pennsylvania Department of Labor and Industry — WARN notices.

Pennsylvania employers must file a WARN Act notice with the state before a qualifying mass layoff or plant closing. This page is generated from those filings, cleaned into one schema shared with 47 other states, and rebuilt every day. Nothing here is behind a login.

The data above is free forever — CC BY 4.0, no login, no API key, no delay, rebuilt daily. If you only care about particular employers or states, you do not have to re-download the whole file and diff it yourself. WARN Watch runs your list against every daily refresh and gives you a private alert page, a calendar (.ics), an RSS feed and an optional Slack/Discord/Teams webhook — no login. [Try it free for 30 days — no card](https://approjects-warn-act-notices.static.hf.space/go/hf-free.html) (up to 3 employers or one state) · then $49/year, one-off, no auto-renew, 14-day refund · see a real alert page first

Download Pennsylvania layoff data

The file in this repository, data/pa_warn_notices.csv, is byte-identical to the free per-state file on GitHub linked below; the other files are the all-state siblings.

Licence: CC BY 4.0 — use it commercially, just credit the source.

Most recent Pennsylvania notices

Newest 12 of 1,896 free-window Pennsylvania notices. The complete file is the CSV above — every notice we hold for this state, back to 1988, free and rebuilt daily.

Employers that have filed the most Pennsylvania WARN notices

229 employers have filed two or more Pennsylvania notices. The 25 most frequent filers, rolled up on the normalized employer name (company_canonical), with every notice counted from the free file above. "Workers affected" sums the headcount on the notices that state one; it is a floor, not an estimate.

Largest single Pennsylvania WARN notices on file

The 10 biggest Pennsylvania notices by employees affected, out of 1,822 notices that state a headcount.

How much notice did Pennsylvania workers actually get?

No Pennsylvania notice in the archive carries both a notice date and an effective date, so no notice-period statistic is available.

Read this before quoting the notice-period numbers. Several states publish the date the state received the filing rather than the date workers were notified, so an interval a little under 60 days is frequently state processing lag rather than a short notice. That is why this dataset publishes state-level and year-level shares and never ranks named employers by notice length.

Method and exclusions: notice-period analysis.

Track Pennsylvania layoffs without polling this file

• —[Star the repo](https://github.com/APVentureEngine/warn-act-notices) or watch releases — GitHub tells you whenever the snapshot republishes (not every day; the data files refresh daily).
• —[Check Pennsylvania right now — free, no signup](https://approjects-warn-act-notices.static.hf.space/watch-now.html?s=PA) — every Pennsylvania notice from the last 180 days, matched in your browser.
• —[WARN Watch — $49/year](https://approjects-warn-act-notices.static.hf.space/go/hf-buy.html) — name up to 500 employers or whole states; every daily refresh matches them and pushes hits to a private page, a calendar (.ics), an RSS feed and your Slack / Discord / Teams webhook. No login. Free 30-day trial — 3 employers or 1 state, no card.
• —[Full 1988→ archive — free](https://github.com/APVentureEngine/warn-act-notices/releases/latest) — every state, every year, one schema.

Something wrong in a Pennsylvania row? Open an issue — it gets fixed the same day.

← all states · repository home · data as of 2026-09-24 · rebuilt daily by an automated pipeline.

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A layoff record you can audit, not just download

This dataset is one cut of a single daily rebuild: 61,431 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 2026-09-25; 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:

• —2,482 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 →

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 →

Prefer a spreadsheet? One formula puts the last 90 days, the last 12 months or any single state into Google Sheets as a live range that refreshes itself — no signup, no add-on: the formulas, one per state → =IMPORTDATA("https://cdn.jsdelivr.net/gh/APVentureEngine/warn-act-notices@main/data/sheets/us-last-90-days.csv")

Backtesting, or citing a figure you published last month? Today's file has look-ahead and survivorship bias baked in: notices get amended after the fact and some rows are later deleted. The same table as it stood on any past day since 2026-08-30 — one immutable vintage per day, 25 so far, plus a first-appearance index giving the first and last day every notice id was in the file — is the point-in-time snapshot archive. Nobody can backfill it.

Need one industry only? The same filings, cut by an auditable employer-name rule (each row keeps the rule that fired): tech companies · hospitals & healthcare · retail store closings · restaurants & hotels · factory & plant closings · banks, insurance & finance · warehouses, trucking & logistics · all 20 sectors.

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

Not deciding today? Join the update list → — one email when a new dataset or tier is published; nothing promotional. A state added or a column renamed ships in the daily release 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 — 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. 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 <!-- warn-feed:offer:end -->

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