Georgia Layoffs — December 2018
Employers in Georgia submitted 15 WARN Act notices in December 2018, putting at risk an estimated 1,722 workers — up substantially from November and up 259% versus December 2017. The average filing covered 115 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 5 | 679 |
| Professional Services | 6 | 584 |
| Information & Technology | 1 | 255 |
| Finance & Insurance | 1 | 125 |
| Accommodation & Food | 1 | 78 |
| Government | 1 | 1 |
The Manufacturing sector emerged as the hardest-hit sector with 679 workers across 5 notices. Separately, Professional Services reported 584 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Cobb | 4 | 512 |
| Meriwether | 1 | 321 |
| Muscogee | 1 | 255 |
| Fulton | 3 | 215 |
| Richmond | 1 | 139 |
Cobb absorbed the greatest share of layoffs, accounting for 30% of all affected workers with 512 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Warm Springs | 1 | 321 |
| Marietta | 2 | 299 |
| Columbus | 1 | 255 |
| Atlanta | 2 | 161 |
| Augusta | 1 | 139 |
Layoff Type Analysis
Layoff type classification was not available for filings in Georgia this month.
Largest Layoffs
Topping the list was Georgia-Pacific at its Warm Springs facility, reporting 321 affected workers. Ncr followed with 255 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
These figures highlight mounting pressure on the Georgia labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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.