Ohio Layoffs — May 1999

Employers in Ohio recorded 8 WARN Act notices in May 1999, covering approximately 1,256 workers — marking a decline from April and down 49% versus May 1998. The average filing covered 157 workers, with 0 closures among the notices.

8
Notices Filed
1,256
Workers Affected
157
Avg per Notice
0
Closures

Industry Breakdown

IndustryNoticesWorkers
Healthcare1320

The Healthcare sector accounted for the largest share of job cuts with 320 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Franklin1320
Cuyahoga1320
Hamilton2204
Clinton1164
Allen1104

Franklin bore the heaviest burden, accounting for 25% of all affected workers with 320 workers across 1 notices.

CityNoticesWorkers
Columbus1320
Cleveland1320
Cincinnati2204
Wilmington1164
Spencerville1104

Layoff Type Analysis

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

Largest Layoffs

CompanyCityWorkersTypeDate
TicketMasterColumbus3201999-05-03
Saint Luke's Medical CenterCleveland3201999-05-07
Crysteco, IncWilmington1641999-05-20
LucasVarityCincinnati1481999-05-20
Harvard IndustriesSpencerville1041999-05-24
Plymouth Locomotive Int'l IncPlymouth941999-05-17
Gibson Greetings, IncCincinnati561999-05-14
Fabri-FormByesville501999-05-17

Leading the list was TicketMaster at its Columbus facility, reporting 320 affected workers. Saint Luke's Medical Center followed with 320 workers.

Trend & Outlook

This is the third consecutive month of declining layoff activity.

The filings reflect a easing in workforce disruptions across Ohio, with filings falling below both recent and year-ago levels. 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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