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US Layoffs — August 2026, Week 1

The US labor market showed signs of rising strain as employers submitted 72 WARN Act notices in August 2026, Week 1, putting at risk an estimated 7,970 workers. Filings came from 22 states and territories, with an average of 111 workers per notice.

72
Total Notices
7,970
Workers Affected
22
States Reporting
111
Avg per Notice
Labor Market Snapshot — United States (DOL/BLS)
4.2%
Unemployment
(September 2026)
178,989
Initial Claims
(2026-10-17 wk)
159044K
Nonfarm Payrolls
(September 2026)
1641K
JOLTS Layoffs
(September 2026)

Top States

State-by-state layoff summary
StateNoticesWorkers
Georgia31,063
New Jersey9866
Illinois5837
California11773
Ohio3699
New York2606
Texas4530
Tennessee3437
Massachusetts3396
Washington4257
Colorado3213
South Carolina2206
Oregon2191
Arizona3176
Alabama3154
Maryland3132
Kentucky1127
Maine1102
Wisconsin394
Florida180
Iowa230
Minnesota11

Industry Breakdown

Industry breakdown
IndustryNoticesWorkers
Wholesale Trade71,128
Healthcare61,103
Agriculture8816
Manufacturing6411
Information & Technology5406
Admin & Support Services3259
Transportation2212
Finance & Insurance4179

The Wholesale Trade sector emerged as the hardest-hit sector with 1,128 workers across 7 notices. Separately, Healthcare reported 1,103 workers.

Largest Layoffs

Largest layoff notices
CompanyLocationWorkersType
Wellstar Health SystemMarietta, Georgia761
EssendantLincolnshire, Illinois510Closure
SDH Services WestCincinnati, Ohio488Closure
Sky ChefsJamaica, New York471Layoff
USA, Inc DBA Hello FreshSwedesboro, New Jersey374
TikTok USDS JVNashville, Tennessee250
Blueprint Medicines Corporation (aka Sanofi Company Blueprint)Cambridge, Massachusetts229
EssendantAtlanta, Georgia192
Enablx, Inc. RockawayNew Jersey187
80 Acres FarmsSan Antonio, Texas166

Topping the list was Wellstar Health System in Marietta, Georgia, reporting 761 affected workers. Essendant followed with 510 workers.

This report covers WARN Act filings for Week 1 of August 2026. View the full August 2026 report or download the full dataset.

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