Ohio Layoffs — July 2009
Employers in Ohio recorded 16 WARN Act notices in July 2009, covering approximately 3,949 workers — marking a sharp increase from June and up 114% versus July 2008. The average filing covered 247 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 7 | 1,437 |
| Information & Technology | 3 | 1,117 |
| Transportation | 2 | 1,088 |
| Utilities | 1 | 94 |
| Professional Services | 1 | 78 |
| Finance & Insurance | 1 | 74 |
| Retail | 1 | 61 |
The Manufacturing sector accounted for the largest share of job cuts with 1,437 workers across 7 notices. At the same time, Information & Technology reported 1,117 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Clinton | 2 | 1,088 |
| Monroe | 1 | 982 |
| Montgomery | 2 | 718 |
| Summit | 2 | 378 |
| Franklin | 2 | 296 |
Clinton bore the heaviest burden, accounting for 28% of all affected workers with 1,088 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Wilmington | 2 | 1,088 |
| Hannibal | 1 | 982 |
| Dayton | 1 | 644 |
| Akron | 1 | 255 |
| Dublin | 1 | 218 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
Leading the list was ABX Air at its Wilmington facility, reporting 1,034 affected workers. Ormet Primary Aluminum followed with 982 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect 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.