Ohio Layoffs — June 2017
Employers in Ohio reported 5 WARN Act notices in June 2017, displacing an estimated 345 workers — signaling a deceleration from May and down 41% versus June 2016. The average filing covered 69 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 4 | 343 |
| Healthcare | 1 | 2 |
The Manufacturing sector topped the list of affected industries with 343 workers across 4 notices. Notably, Healthcare reported 2 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Columbiana | 1 | 115 |
| Wayne | 1 | 110 |
| Clark | 1 | 81 |
| Stark | 1 | 37 |
| Cuyahoga | 1 | 2 |
Columbiana saw the most concentrated activity, accounting for 33% of all affected workers with 115 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Salem | 1 | 115 |
| Orrville | 1 | 110 |
| Springfield | 1 | 81 |
| Alliance | 1 | 37 |
| Cleveland | 1 | 2 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Quaker Manufacturing | Salem | 115 | ||
| JLG Industries | Orrville | 110 | ||
| Navistar | Springfield | 81 | ||
| T and W Forge | Alliance | 37 | ||
| HealthSpan Partners | Cleveland | 2 |
The most significant filing came from Quaker Manufacturing at its Salem facility, reporting 115 affected workers. JLG Industries followed with 110 workers.
Trend & Outlook
The numbers illustrate a easing in workforce disruptions across Ohio, with filings falling below both recent and year-ago levels. The Manufacturing 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.