--- pretty_name: US employers laying off in more than one state (multi-state WARN Act notices, by employer and state) license: cc-by-4.0 language: - en task_categories: - tabular-classification tags: - warn-act - layoffs - multi-state - multi-state-layoffs - layoff-notices - employers - companies - by-state - plant-closings - workforce-reduction - labor - labor-market - sales-intelligence - economics - public-records - government-data - daily-updated - united-states size_categories: - 1K **Tracking specific employers or states?** Name up to three and every daily > rebuild is matched for you - alert page + RSS, optional Slack/Discord/Teams > webhook. [Free 30-day watch](https://approj.gumroad.com/l/warn-free-watch), $0, no card, nothing renews. ## Most states, top 20 | employer | states | which | notices | workers as filed | |---|---|---|---|---| | Aramark | 37 | AL AZ CA CO CT DC DE FL IA ID IL IN KS KY MA MD MI MN MO MS NC NJ NV NY OH OK OR PA RI SC SD TN TX UT VA WA WI | 279 | 49,229 | | Sodexo | 37 | AL AZ CA CO CT DC DE FL HI ID IL IN KS KY LA MA MD MI MN MO NC NE NJ NV NY OH OK OR PA RI SC TN TX VA WA WI WV | 265 | 28,690 | | Walmart | 30 | AK AL AZ CA CO CT DC FL GA IL IN KS MA MD MI NC NJ NM NY OH OK OR PA SC TN TX UT VA WA WI | 142 | 23,084 | | Conduent | 30 | AZ CA CO CT DE FL GA ID IN KY LA MD MI MO NC NE NM NV NY OH OK OR PA RI SC SD TN VA WA WI | 97 | 3,605 | | ABM | 27 | AL AZ CA CO DC FL GA IL IN MA MD MN MO NC NJ NV NY OH OK PA SC TN TX UT VA WA WI | 122 | 12,448 | | Macy's | 26 | AL AZ CA CT FL GA ID IL IN KS KY MD MI MN NC NJ NY OH OK OR PA TN TX UT VA WA | 171 | 17,428 | | Wells Fargo | 25 | AL AZ CA CO FL IA ID IL MD MN MT NC ND NE NJ NV NY OR PA SC SD TX UT VA WA | 170 | 12,482 | | Yellow | 24 | AL AZ CA CO DC FL ID IL IN KS ME MI MN NC ND NM NV NY OH PA TX VA WA WI | 83 | 13,286 | | Cygnus Home Service | 24 | AZ CA CO CT ID IL IN MA MD MI MO NC ND NE NM NY OH PA SC TX UT VA WA WI | 56 | 1,085 | | David's Bridal | 23 | AK AL CA CO CT GA MA ME MN MO NC NE NJ NM NV NY OH OR PA TN TX WA WI | 82 | 22,433 | | Verizon | 23 | AL CA CO CT IA IL KS KY MD MI MN NE NJ NM NY OH OR PA SC TN TX VA WA | 63 | 13,379 | | United Airlines | 22 | CA CO CT FL HI IL IN MI MN NC NE NJ NV NY OH OK OR PA RI TX VA WA | 64 | 81,360 | | Cinemark | 22 | AZ CA CT ID IL IN KS MD MI MT NC NV NY OH PA SC TN TX UT VA WA WI | 140 | 11,297 | | Enterprise Holdings | 22 | CA CT FL HI IN KS MD MI MN MO NC NM NV NY OH OK OR PA TN TX VA WI | 100 | 8,054 | | Kmart | 21 | AL AZ CA FL IL IN KS KY MD MI MN NC NE NJ NY OR PA TN UT VA WA | 243 | 20,049 | | First Transit | 21 | CA CT FL IL IN MD MN NC NJ NV NY OH OK OR PA TN TX UT VA WA WI | 54 | 6,683 | | Saks & | 21 | AL AZ CA FL HI IL MA MD MI MO MS NC NJ NV NY OH OR PA TN TX VA | 52 | 4,353 | | Block | 21 | AZ CA CO CT FL GA HI IL IN MA MN MO MT NC NV NY OR PA SC WA WI | 39 | 877 | | Paper Source | 21 | CA CO CT FL IN KS MD MI MN MO NC NJ NV NY OH OR PA TX VA WA WI | 48 | 754 | | Hostess Brands | 20 | AK AL AZ CT ID IL IN KS KY MD MI NJ NY OR PA SD TN VA VT WA | 128 | 7,848 | ## Most workers, top 10 | employer | workers as filed | states | notices | |---|---|---|---| | United Airlines | 81,360 | 22 | 64 | | Aramark | 49,229 | 37 | 279 | | Boeing | 43,967 | 14 | 420 | | OS Restaurant | 38,864 | 13 | 132 | | Northwest Airlines | 31,875 | 3 | 17 | | Sodexo | 28,690 | 37 | 265 | | Walt Disney Parks and Resorts U.S | 24,843 | 2 | 27 | | Walmart | 23,084 | 30 | 142 | | David's Bridal | 22,433 | 23 | 82 | | General Motors | 22,412 | 13 | 42 | ## What is in the files **`data/multi_state_employers.csv`** (config `employers`, default) - one row per employer, 2,756 rows: | column | meaning | |---|---| | `employer` | canonicalized employer name (see method) | | `n_states` | number of distinct states with a filing | | `states` | space-separated two-letter codes | | `notices` | number of filings across those states | | `workers_as_filed` | sum of `employees_affected` across those filings, exactly as each state filed it | | `first_notice` | earliest notice date (or effective date where the state gives no notice date) | | `last_notice` | latest such date | **`data/multi_state_notices.csv`** (config `notices`) - every underlying filing, 25,119 rows, the same columns as the [daily notices dataset](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily) (`id`, `state`, `company`, `company_canonical`, `company_dba`, `location`, `employees_affected`, `notice_date`, `effective_date`, `notice_type`, `first_seen`) plus `employer`, the merged employer key that matches `employer` in the employers file (a row's own `company_canonical` may be one of that employer's other spellings). Join on `id` to the daily dataset, on `employer` to the employers file. Both files cover the **free window (1988 to today)**. The same merge over the full 1988+ archive is part of the [paid archive](https://approj.gumroad.com/l/warn-archive) - stated up front rather than discovered after download. ## Method, and what it does NOT say - **Grouping is deterministic string canonicalization, not corporate-entity resolution.** Legal suffixes (Inc, LLC, Corp) are stripped, "dba" parts are split off, plant/site tails after dashes are dropped, ALL-CAPS is fixed. Nothing is looked up. Consequences you must expect: a **subsidiary filing under its own name is not merged** into its parent, and two spellings the rule cannot reconcile may **split one employer into two rows**. On top of that, a conservative alias merge folds spellings that share a distinctive token prefix into one employer ("Boeing Compnay", "Boeing - El Paso" -> Boeing) only when that token is at least 90% pure across the archive; it under-merges on purpose. Treat `employer` as a display key, not a legal identity. - `workers_as_filed` is a **sum of headcounts as filed**. States amend and re-file notices; where the source portal lists an amendment as a separate row, the workers are counted again. It is not a deduplicated headcount. - A filing in two states says the employer had two WARN-triggering events; it does not say they were the same decision, the same week, or the same business line. - "Notice" means one row on a state WARN portal. States differ in what they publish (some list every site, some one row per employer per event). ## Freshness Rebuilt daily from 48 state labor-department portals by an automated pipeline; the underlying build was `2026-09-16`. A static copy of this list is wrong within a week - the multi-state view only exists because something merges the portals every day. ## Related - [Daily WARN notices dataset](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily) - every notice, every state, free. - [Notice-period dataset](https://huggingface.co/datasets/APProjects/us-warn-act-layoff-notice-period-days) - how many days' notice each filing gave. - [The multi-state page](https://approjects-warn-act-notices.static.hf.space/multi-state.html) - the same list, rendered. - [Free CSV/JSON on GitHub](https://github.com/APVentureEngine/warn-act-notices) - CC BY 4.0, no login. - [WARN Watch](https://approj.gumroad.com/l/warn-watch) - alerts when your employers or states file, $49/year. - [Full historical archive](https://github.com/APVentureEngine/warn-act-notices/releases/latest) - every notice back to 1988, free. ## License CC BY 4.0. Underlying notices are US state public records. Attribution: "WARN Feed, https://approjects-warn-act-notices.static.hf.space". *Not affiliated with the US Department of Labor or any state agency.* ## 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.