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Ohio Layoffs — July 2015

Employers in Ohio submitted 5 WARN Act notices in July 2015, putting at risk an estimated 1,094 workers — up substantially from June and down 10% versus July 2014. The average filing covered 219 workers, with 0 closures among the notices.

5
Notices Filed
1,094
Workers Affected
219
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Ohio
IndustryNoticesWorkers
Accommodation & Food1432
Finance & Insurance1403
Manufacturing2218
Professional Services141

The Accommodation & Food sector emerged as the hardest-hit sector with 432 workers across 1 notice. Separately, Finance & Insurance reported 403 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Hamilton1432
Franklin1403
Clark1149
Cuyahoga2110

Hamilton bore the heaviest burden, accounting for 39% of all affected workers with 432 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Cincinnati1432
Columbus1403
Springfield1149
Solon169
Mayfield Heights141

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
AramarkCincinnati432
CitigroupColumbus403
NovSpringfield149
HdtSolon69
Litigation ManagementMayfield Heights41

Topping the list was Aramark at its Cincinnati facility, reporting 432 affected workers. Citigroup followed with 403 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 Accommodation & Food 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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