The US labor market showed signs of rising strain as employers filed 12 WARN Act notices in October 1997, impacting roughly 2,133 workers — representing a notable rise over September and down 55% versus October 1996. Filings came from 1 states and territories, with an average of 178 workers per notice.
| State | Notices | Workers |
|---|---|---|
| Ohio | 12 | 2,133 |
Ohio led the nation with 2,133 workers affected across 12 notices .
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 3 | 409 |
| Manufacturing | 1 | 375 |
The Information & Technology sector led the way in workforce reductions with 409 workers across 3 notices. In a parallel development, Manufacturing reported 375 workers.
Layoff type data was not available for filings this month.
| Company | Location | Workers | Type |
|---|---|---|---|
| Millennium Petrochemicals | Cincinnati, Ohio | 375 | |
| Prudential | Cincinnati, Ohio | 282 | |
| NYMA, Inc | Brookpark, Ohio | 264 | |
| Epic Technical | Dover, Ohio | 248 | |
| Rockwell Automation | Ashtabula, Ohio | 209 | |
| Teleflex | Van Wert, Ohio | 171 | |
| Bucyrus Inernational | Marion, Ohio | 159 | |
| Acme Food Service | Akron, Ohio | 114 | |
| Ameritech | Cleveland, Ohio | 97 | |
| Woody's Market | West Carrollton, Ohio | 80 |
The single largest action involved Millennium Petrochemicals in Cincinnati, Ohio, reporting 375 affected workers. Prudential followed with 282 workers.
After a dip last month, layoff activity has ticked back up.
The data underscores a mixed picture for the nation's labor market, with activity diverging between monthly and annual comparisons. The Information & Technology sector warrants close attention heading into the next period.
This report covers all WARN Act filings with notice dates in October 1997. The Worker Adjustment and Retraining Notification Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is sourced from official state filings and updated daily by WARN Firehose. Download the full dataset or explore state-by-state data.
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