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Georgia Layoffs — May 2004

Employers in Georgia submitted 7 WARN Act notices in May 2004, putting at risk an estimated 795 workers — down from April and up 9% versus May 2003. The average filing covered 114 workers, with 0 closures among the notices.

7
Notices Filed
795
Workers Affected
114
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Georgia
IndustryNoticesWorkers
Healthcare1335
Manufacturing3245
Professional Services2122
Accommodation & Food193

The Healthcare sector emerged as the hardest-hit sector with 335 workers across 1 notice. Separately, Manufacturing reported 245 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Cobb2406
White198
Ware193
Fulton193
Richmond154

Cobb saw the most concentrated activity, accounting for 51% of all affected workers with 406 workers across 2 notices.

Top cities by layoff notices
CityNoticesWorkers
Marietta1335
Cleveland198
Waycross193
Atlanta193
Kennesaw171

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Tyco HealthcareMarietta335
Mount Vernon MillsCleveland98
Waycross Molded ProductsWaycross93
Crown American HotelsAtlanta93
The InvironmentalistsKennesaw71
Solo CupAugusta54
Teleplan InternationalNorcross51

Topping the list was Tyco Healthcare at its Marietta facility, reporting 335 affected workers. Mount Vernon Mills followed with 98 workers.

Trend & Outlook

These figures highlight a mixed picture for Georgia'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 Georgia. 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 Georgia WARN notices, browse layoffs by state, or download the full dataset.

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