Ohio Layoffs — May 2018
Employers in Ohio reported 4 WARN Act notices in May 2018, displacing an estimated 350 workers — signaling a deceleration from April and down 70% versus May 2017. The average filing covered 88 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 1 | 260 |
| Manufacturing | 2 | 82 |
| Education | 1 | 8 |
The Finance & Insurance sector topped the list of affected industries with 260 workers across 1 notice. Notably, Manufacturing reported 82 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cuyahoga | 1 | 260 |
| Butler | 2 | 82 |
| Wood | 1 | 8 |
Cuyahoga felt the sharpest impact, accounting for 74% of all affected workers with 260 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Bedford | 1 | 260 |
| Middletown | 1 | 60 |
| Hamilton | 1 | 22 |
| Millbury | 1 | 8 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| U.S. Bank | Bedford | 260 | ||
| Essity Operations Wausau | Middletown | 60 | ||
| OPW Fueling Components | Hamilton | 22 | ||
| Texas Migrant Council (Teaching & Mentoring Communities) | Millbury | 8 |
The most significant filing came from U.S. Bank at its Bedford facility, reporting 260 affected workers. Essity Operations Wausau followed with 60 workers.
Trend & Outlook
The numbers illustrate a easing in workforce disruptions across Ohio, with filings falling below both recent and year-ago levels. The Finance & Insurance sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Ohio. The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is updated daily by WARN Firehose. View all Ohio WARN notices, browse layoffs by state, or download the full dataset.