Ohio Layoffs — October 2022
Employers in Ohio reported 4 WARN Act notices in October 2022, displacing an estimated 481 workers — signaling a deceleration from September and down 10% versus October 2021. The average filing covered 120 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 358 |
| Wholesale Trade | 1 | 84 |
| Information & Technology | 1 | 39 |
The Manufacturing sector topped the list of affected industries with 358 workers across 2 notices. Notably, Wholesale Trade reported 84 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Shelby | 1 | 258 |
| Darke | 1 | 100 |
| Wood | 1 | 84 |
| Franklin | 1 | 39 |
Shelby felt the sharpest impact, accounting for 54% of all affected workers with 258 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Sidney | 1 | 258 |
| Gettysburg | 1 | 100 |
| Toledo | 1 | 84 |
| Columbus | 1 | 39 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Norcold, LLC Sidney | Sidney | 258 | ||
| Norcold, LLC Gettysburg | Gettysburg | 100 | ||
| Supply Source Enterprises | Toledo | 84 | ||
| Starry | Columbus | 39 |
The most significant filing came from Norcold, LLC Sidney at its Sidney facility, reporting 258 affected workers. Norcold, LLC Gettysburg followed with 100 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.