Ohio Layoffs — March 2009
Employers in Ohio logged 28 WARN Act notices in March 2009, involving roughly 5,336 workers — climbing above February and up 146% versus March 2008. The average filing covered 191 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 18 | 3,861 |
| Retail | 1 | 646 |
| Education | 1 | 207 |
| Transportation | 3 | 192 |
| Utilities | 1 | 174 |
| Accommodation & Food | 1 | 99 |
| Finance & Insurance | 2 | 90 |
| Information & Technology | 1 | 67 |
The Manufacturing sector dominated layoff filings with 3,861 workers across 18 notices. Meanwhile, Retail reported 646 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cuyahoga | 3 | 1,663 |
| Franklin | 3 | 852 |
| Butler | 3 | 544 |
| Seneca | 1 | 340 |
| Logan | 1 | 290 |
Cuyahoga absorbed the greatest share of layoffs, accounting for 31% of all affected workers with 1,663 workers across 3 notices.
| City | Notices | Workers |
|---|---|---|
| Cleveland | 3 | 1,663 |
| Lockbourne | 1 | 646 |
| Tiffin | 1 | 340 |
| Hamilton | 1 | 299 |
| Bellefontaine | 1 | 290 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
The biggest impact was at ArcelorMittal at its Cleveland facility, reporting 1,240 affected workers. Wal-Mart Stores, Inc. Optical Lab followed with 646 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
This data points to mounting pressure on the Ohio labor market, with activity running above both recent and year-ago benchmarks. 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.