Ohio Layoffs — June 2020
Employers in Ohio submitted 29 WARN Act notices in June 2020, putting at risk an estimated 2,719 workers — down from May and up 822% versus June 2019. The average filing covered 94 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 6 | 645 |
| Utilities | 1 | 529 |
| Accommodation & Food | 6 | 488 |
| Retail | 2 | 287 |
| Arts & Entertainment | 2 | 260 |
| Professional Services | 3 | 206 |
| Healthcare | 1 | 79 |
| Wholesale Trade | 1 | 72 |
The Manufacturing sector emerged as the hardest-hit sector with 645 workers across 6 notices. Separately, Utilities reported 529 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Hamilton | 5 | 896 |
| Franklin | 7 | 762 |
| Summit | 5 | 282 |
| Cuyahoga | 5 | 223 |
| Jefferson | 1 | 200 |
Hamilton saw the most concentrated activity, accounting for 33% of all affected workers with 896 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| Cincinnati | 3 | 722 |
| Columbus | 5 | 442 |
| Groveport | 1 | 221 |
| Cleveland | 4 | 210 |
| Toronto | 1 | 200 |
Layoff Type Analysis
Layoff type classification was not available for filings in Ohio this month.
Largest Layoffs
Topping the list was General Electric Aviation at its Cincinnati facility, reporting 529 affected workers. Pier 1 Imports followed with 221 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
These figures highlight a mixed picture for Ohio's labor market, with activity diverging between monthly and annual comparisons. 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.