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Georgia Layoffs — July 2022

Employers in Georgia posted 3 WARN Act notices in July 2022, affecting an estimated 827 workers — reflecting a significant uptick compared to June and up 632% versus July 2021. The average filing covered 276 workers, with 0 closures among the notices.

3
Notices Filed
827
Workers Affected
276
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Georgia
IndustryNoticesWorkers
Retail1601
Accommodation & Food2226

The Retail sector saw the heaviest impact with 601 workers across 1 notice. On a related front, Accommodation & Food reported 226 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Dekalb3827

Dekalb absorbed the greatest share of layoffs, accounting for 100% of all affected workers with 827 workers across 3 notices.

Top cities by layoff notices
CityNoticesWorkers
Stone Mountain3827

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Silver Dollar City Stone Mountain ParkStone Mountain601
Atlanta Evergreen Marriott Conference ResortStone Mountain221
Stone Mountain InnStone Mountain5

The largest notice was filed by Silver Dollar City Stone Mountain Park at its Stone Mountain facility, reporting 601 affected workers. Atlanta Evergreen Marriott Conference Resort followed with 221 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The trends suggest mounting pressure on the Georgia labor market, with activity running above both recent and year-ago benchmarks. The Retail 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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