APProjects/us-restaurant-hotel-closings-layoffs-warn-act-notices-daily

US restaurant and hotel closings and layoffs — the actual WARN Act filings, rebuilt every day

Last rebuilt: 2026-09-16. 6,325 layoff and closure notices filed by restaurants and restaurant groups, hotels, motels and resorts, casinos and gaming floors, caterers and contract food-service operators, bars and coffee chains, stadium, arena and airport concessions, and leisure and entertainment venues with US state labor departments — 915,315 workers, 3,051 employers, 48 states, 1989–2026. 1,299 of the notices (20.5%) were recorded by the state as a closure rather than a layoff. Free, CC BY 4.0, no login, no delay.

Hospitality is the single largest classified sector in the WARN archive and the one where a closure is most often a whole site going dark at once. Those filings — which restaurant, which hotel, which town, how many workers, notice date, effective date, closure or layoff — sit on 48 separate state portals and are never assembled as one hospitality series. This file is that series, with the closure/layoff split the states themselves recorded. An automated pipeline re-scrapes 48 state portals every day and rebuilds this file from the legal filings employers must make before a mass layoff: employer, state, site, workers affected, notice date, effective date, and the notice type in the state's own words.

Read this before you quote a number

This is a FLOOR, not a census. No US state WARN portal publishes an industry field — not one. Sector here is assigned from the employer name by an auditable keyword rule table, and 47.4% of all 60,955 notices in the archive carry a name that reveals no sector at all (Rugged Liner, KPR US, Point Designs). A restaurant and hotel employer trading under an opaque name is therefore missing from this file. Every row keeps sector_rule — the exact pattern that fired — so any inclusion can be checked or disputed row by row, and the full unfiltered archive is one click away: all 60,955 notices.

WARN also only covers layoffs above a size threshold (broadly 50+ at a site, lower in some states), so smaller restaurant and hotel layoffs never generate a filing at all.

What counts as hospitality here: the employer name reads as a restaurant, grill, diner, pizzeria, bar, cafe or coffee chain; a hotel, motel, inn, resort or lodging operator; a casino or gaming floor; a caterer or contract food-service company; or a stadium, arena, theatre, cinema or amusement venue. Supermarkets and grocers are deliberately NOT here — a grocery chain is in the retail cut — and neither is a hospital food-service contractor whose name says Healthcare, which the healthcare rule claims first. The sector_rule column names the pattern that put each row here, so any single inclusion can be disputed row by row.

"Closure" is the state's word, not ours. notice_type is copied verbatim from the filing; the closure count above is every row whose type contains clos (Closure, Closure Permanent, Plant Closing…). 1,649 rows have no type because that state's portal does not publish one.

Files

file	rows	what it is
data/hospitality_layoff_notices.csv	6,325	every restaurant and hotel WARN notice, one row each
data/hospitality_layoffs_by_employer.csv	3,051	per-employer history with closure count, biggest first
data/hospitality_layoffs_by_year.csv	35	notices, closures, workers and employers per year
data/hospitality_layoffs_by_state.csv	48	notices and workers per state

import pandas as pd
df = pd.read_csv("https://huggingface.co/datasets/APProjects/us-restaurant-hotel-closings-layoffs-warn-act-notices-daily/resolve/main/data/hospitality_layoff_notices.csv")
df.groupby(df.notice_date.str[:4]).employees_affected.sum().tail(10)

Restaurant and hotel layoffs by year

year	notices	of which closures	workers affected	employers
2026	150	60	11,548	92
2025	149	59	22,064	86
2024	219	48	16,816	72
2023	96	40	9,422	61
2022	76	20	9,160	46
2021	236	40	19,864	139
2020	4,479	592	718,153	2,347
2019	165	90	15,167	107
2018	108	61	10,732	73
2017	91	52	11,026	66
2016	105	69	11,427	62
2015	72	34	10,946	46
2014	77	29	9,438	44
2013	49	14	7,314	30
2012	36	23	3,945	24

The employers with the most restaurant and hotel layoff workers on file

employer	notices	closures	workers	states	first	last
Aramark	273	80	45,753	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	2002-04-12	2026-07-17
OS Restaurant	132	7	38,864	CA, FL, IN, KS, MD, MO, NC, NJ, NY, OH, PA, SC, TN	2019-04-01	2020-05-15
Sodexo	263	89	28,479	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	2009-01-22	2026-08-06
Walt Disney Parks and Resorts U.S	27	0	24,843	CA, FL	2015-01-21	2021-01-20
Delaware North	45	5	15,827	AZ, CA, CO, FL, MD, MI, MN, MO, NJ, NY, OH, OK, SC, TN, VA, WA, WI	2005-11-14	2025-08-14
Ritz-Carlton	53	7	15,415	CA, CO, FL, HI, IL, MO, NC, NY, OH, PA, TX, VA	2016-01-01	2026-02-06
Hyatt Regency	86	11	14,334	CA, CO, CT, DC, FL, HI, IL, MD, MI, MN, NY, OH, OR, TX, VA, WI	2012-08-23	2026-03-31
Marriott Hotel Services	51	3	12,961	CA, CT, FL, MD, NJ, NY, OH, PA, TN, VA, WA	2020-03-13	2021-11-04
Marriott International	47	1	11,497	AZ, CA, CT, FL, HI, IL, KS, MD, MO, NY, OH, WA	2001-09-24	2024-11-14
Cinemark	140	10	11,297	AZ, CA, CT, ID, IL, IN, KS, MD, MI, MT, NC, NV, NY, OH, PA, SC, TN, TX, UT, VA, WA, WI	2020-03-26	2020-04-17
Compass Group	102	20	9,328	CA, CT, DC, IL, KS, MA, MD, MI, MO, NC, NJ, NY, OH, PA, SC, TX, VA, WA, WI	2013-11-18	2026-09-25
Levy	30	10	7,998	AZ, CA, CO, FL, IN, MN, NV, NY, OH, OR, UT, WA, WI	2013-01-30	2025-02-20
Mirage Casino-Hotel	3	1	7,000	NV	2020-05-05	2024-05-15
Bellagio Hotel & Casino	2	0	6,937	NV	2020-05-05	2020-05-11
ARIA Resort & Casino	2	0	6,721	NV	2020-05-05	2020-05-11

States with the most restaurant and hotel layoff workers on file

state	notices	workers
CA	2,006	238,597
FL	509	129,276
NY	875	100,117
NV	162	91,130
IL	255	39,575
TX	368	32,117
PA	136	26,461
NJ	117	21,660
MD	148	21,633
WA	126	17,418

Most recent restaurant and hotel filings in this build

date	employer	state	location	notice type	workers
2026-11-03	Westin Hilton Head Island Resort & Spa	SC	Beaufort	—	157
2026-09-25	Compass Group	MI	Cheboygan, Emmett, Genessee, Ingham, Lapeer	Layoff	168
2026-09-03	OVG Hospitality	CA	Ventura County	Layoff Permanent	128
2026-09-01	Headquarters Hotel Mgmt	NJ	Atlantic City	—	91
2026-08-31	Maverick Washington LLC / Great American Casino	WA	Tukwila	Closure	96
2026-08-31	Maverick Washington LLC / Riverside Casino	WA	Tukwila	Closure	142
2026-08-28	Columbia Hospitality	WA	Kenmore	Layoff	86
2026-08-20	Starbucks	WA	Seattle	Layoff	224
2026-08-18	Volume Services, Inc. (Sodexo)	CA	Ventura County	Layoff Permanent	93
2026-08-12	Jack in the Box	WA	Everett	Closure	24
2026-08-06	Sodexo	OH	West Chester/Butler	Closure	66
2026-07-30	Sunnyside Restaurant and Lodge	CA	Placer County	Closure Permanent	47

Names are resolved for spelling variants, not corporate parents: a subsidiary filing under its own name stays under its own name.

Where this comes from

• Source: official state WARN listings, scraped daily and normalized to one schema. Full method, per-state coverage and freshness: https://approjects-warn-act-notices.static.hf.space.
• Public commit log of every daily rebuild: https://github.com/APVentureEngine/warn-act-notices.
• Whole archive, all sectors: https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily.
• All 20 sectors, not just this one: layoffs by industry sector.
• Verify anything that matters at the state source before you publish it.

If this saved you a scrape

• Like this dataset (the heart, top right) — likes are how the next person searching for restaurant and hotel layoffs finds a file that was rebuilt today instead of one uploaded once years ago.
• Watch the source repo's releases — one notification each day the snapshot is republished.
• Corrections and questions: open an issue.

Published by APProjects, an automated publisher of US public records. Not affiliated with 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 2026-09-16; 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 →

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 →

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

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