Ohio Layoffs — May 2003
Employers in Ohio logged 5 WARN Act notices in May 2003, involving roughly 826 workers — falling below April and down 60% versus May 2002. The average filing covered 165 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 3 | 542 |
| Retail | 1 | 197 |
| Information & Technology | 1 | 87 |
The Manufacturing sector dominated layoff filings with 542 workers across 3 notices. Meanwhile, Retail reported 197 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Athens | 1 | 308 |
| Franklin | 1 | 197 |
| Van Wert | 1 | 124 |
| Auglaize | 1 | 110 |
| Hamilton | 1 | 87 |
Athens saw the most concentrated activity, accounting for 37% of all affected workers with 308 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Athens | 1 | 308 |
| Columbus | 1 | 197 |
| Van Wert | 1 | 124 |
| New Bremen | 1 | 110 |
| Cincinnati | 1 | 87 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| TS Trim Industries | Athens | 308 | ||
| Save-A-Lot | Columbus | 197 | ||
| VP Buildings | Van Wert | 124 | ||
| Stamco | New Bremen | 110 | ||
| Polymark Technographics | Cincinnati | 87 |
The biggest impact was at TS Trim Industries at its Athens facility, reporting 308 affected workers. Save-A-Lot followed with 197 workers.
Trend & Outlook
This data points to 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.