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Ohio Layoffs — November 1996

Employers in Ohio submitted 8 WARN Act notices in November 1996, putting at risk an estimated 1,472 workers — down from October. The average filing covered 184 workers, with 0 closures among the notices.

8
Notices Filed
1,472
Workers Affected
184
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Ohio
IndustryNoticesWorkers
Healthcare3899
Retail2210
Manufacturing2206
Professional Services1157

The Healthcare sector emerged as the hardest-hit sector with 899 workers across 3 notices. Separately, Retail reported 210 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Lucas1574
Hamilton4546
Montgomery1157
Cuyahoga1100
Mahoning195

Lucas saw the most concentrated activity, accounting for 39% of all affected workers with 574 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Toledo1574
Cincinnati3440
Dayton1157
Blue Ash1106
Cleveland1100

Layoff Type Analysis

Layoff type classification was not available for filings in Ohio this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Mercy Health SystemToledo574
Glen Manor HomeCincinnati171
Computer ScienceDayton157
Orthodox Jewish HomeCincinnati154
Western Wood LazarusCincinnati115
Deluxe Check PrintersBlue Ash106
MalcoCleveland100
K-MartYoungstown95

Topping the list was Mercy Health System at its Toledo facility, reporting 574 affected workers. Glen Manor Home followed with 171 workers.

Trend & Outlook

These figures highlight a mixed picture for Ohio's labor market, with activity diverging between monthly and annual comparisons. The Healthcare 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.

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