README.md

---
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<n<10K
configs:
  - config_name: employers
    data_files: data/multi_state_employers.csv
    default: true
  - config_name: notices
    data_files: data/multi_state_notices.csv
---

# Which US employers are laying off in more than one state?

Every state publishes its own WARN Act layoff notices, and every state's list
stops at its border. The employer that filed in Texas on Monday and Ohio on
Wednesday appears as two unrelated rows on two unrelated portals. This dataset
is the merge: the free-window notices from 48 states, grouped
by employer, kept to employers that filed in **two or more states**, rebuilt
every day.

## The headline (free window, 1988 - today, as of 2026-09-16)

| | |
|---|---|
| Employers with WARN filings in **2+ states** | **2,756** |
| Employers with filings in **5+ states** | **605** |
| Workers named in those employers' filings, as filed | **2,915,291** |
| Underlying notices (one row each in `notices`) | **25,119** |
| States spanned | **48** |

> **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.*

<!-- warn-feed:offer:start -->
## 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/)
<!-- warn-feed:offer:end -->

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<!-- warn-feed:px:end -->