Ohio Layoffs — August 2005

Employers in Ohio submitted 5 WARN Act notices in August 2005, putting at risk an estimated 817 workers — up substantially from July and down 1% versus August 2004. The average filing covered 163 workers, with 0 closures among the notices.

5
Notices Filed
817
Workers Affected
163
Avg per Notice
0
Closures

Industry Breakdown

IndustryNoticesWorkers
Healthcare1162

The Healthcare sector emerged as the hardest-hit sector with 162 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Miami1236
Darke1174
Stark1162
Montgomery1115

Miami felt the sharpest impact, accounting for 29% of all affected workers with 236 workers across 1 notices.

CityNoticesWorkers
Troy1236
Versailles1174
Canton1162
Cleveland, Parma, North Olmstead1130
Miamisburg1115

Layoff Type Analysis

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

Largest Layoffs

CompanyCityWorkersTypeDate
MT Picture Display Corp. of North America (Ohio)Troy2362005-08-17
Whiteford Food Products, IncVersailles1742005-08-08
Nova Behavioral Health, IncCanton1622005-08-16
Goodwill Industries of Greater Cleveland, IncCleveland, Parma, North Olmstead1302005-08-01
CH2M Hill Mound IncMiamisburg1152005-08-30

Topping the list was MT Picture Display Corp. of North America (Ohio) at its Troy facility, reporting 236 affected workers. Whiteford Food Products, Inc followed with 174 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

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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