Ohio Layoffs — August 2020
Employers in Ohio recorded 36 WARN Act notices in August 2020, covering approximately 3,255 workers — marking a decline from July and up 133% versus August 2019. The average filing covered 90 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 5 | 991 |
| Retail | 3 | 592 |
| Accommodation & Food | 13 | 534 |
| Manufacturing | 5 | 429 |
| Utilities | 2 | 228 |
| Arts & Entertainment | 2 | 166 |
| Education | 1 | 117 |
| Mining & Energy | 3 | 109 |
The Transportation sector accounted for the largest share of job cuts with 991 workers across 5 notices. At the same time, Retail reported 592 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cuyahoga | 5 | 906 |
| Franklin | 5 | 776 |
| Montgomery | 4 | 485 |
| Richland | 1 | 248 |
| Monroe | 2 | 243 |
Cuyahoga absorbed the greatest share of layoffs, accounting for 28% of all affected workers with 906 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Columbus | 4 | 619 |
| Cleveland | 3 | 584 |
| Vandalia | 3 | 368 |
| Strongsville | 1 | 320 |
| Mansfield | 1 | 248 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
Leading the list was United Airlines, Inc. - Cleveland Hopkins International Airport at its Cleveland facility, reporting 466 affected workers. The Michaels Companies followed with 320 workers.
Trend & Outlook
The filings reflect a mixed picture for Ohio's labor market, with activity diverging between monthly and annual comparisons. The Transportation 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.