Georgia Layoffs — April 2020
Employers in Georgia filed 124 WARN Act notices in April 2020, impacting roughly 4,919 workers — representing a pullback from March and up 137% versus April 2019. The average filing covered 40 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 32 | 1,679 |
| Healthcare | 34 | 746 |
| Transportation | 5 | 651 |
| Accommodation & Food | 6 | 544 |
| Retail | 25 | 456 |
| Information & Technology | 7 | 291 |
| Arts & Entertainment | 2 | 227 |
| Education | 3 | 181 |
The Manufacturing sector led the way in workforce reductions with 1,679 workers across 32 notices. In a parallel development, Healthcare reported 746 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fulton | 24 | 989 |
| Cobb | 15 | 681 |
| Clayton | 9 | 627 |
| Gwinnett | 8 | 494 |
| Whitfield | 3 | 308 |
Fulton felt the sharpest impact, accounting for 20% of all affected workers with 989 workers across 24 notices.
| City | Notices | Workers |
|---|---|---|
| Atlanta | 19 | 1,236 |
| Dalton | 3 | 308 |
| Norcross | 1 | 232 |
| College Park | 2 | 188 |
| Peachtree Corners | 1 | 175 |
Layoff Type Analysis
Layoff type classification was not available for filings in Georgia this month.
Largest Layoffs
The single largest action involved Shaw Industries Group, Inc. Plant 23 at its Dalton facility, reporting 275 affected workers. SodexoMagic, Delta Sky Club followed with 246 workers.
Trend & Outlook
The data underscores a mixed picture for Georgia's labor market, with activity diverging between monthly and annual comparisons. 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.