Employers in Georgia submitted 6 WARN Act notices in November 2018, putting at risk an estimated 912 workers — up substantially from October and down 76% versus November 2017. The average filing covered 152 workers, with 0 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 2 | 200 |
| Healthcare | 1 | 81 |
The Finance & Insurance sector emerged as the hardest-hit sector with 200 workers across 2 notices. Separately, Healthcare reported 81 workers.
| County | Notices | Workers |
|---|---|---|
| Screven | 2 | 550 |
| Fulton | 4 | 362 |
Screven bore the heaviest burden, accounting for 60% of all affected workers with 550 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Sylvania | 2 | 550 |
| Atlanta | 4 | 362 |
Layoff type classification was not available for filings in Georgia this month.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Wall Timber Products, Inc | Sylvania | 275 | 2018-11-05 | |
| Wall Timber Products, Inc | Sylvania | 275 | 2018-11-05 | |
| Bank of America | Atlanta | 100 | 2018-11-24 | |
| Bank of America | Atlanta | 100 | 2018-11-24 | |
| Sodexo-Atlanta Medical Center | Atlanta | 81 | 2018-11-18 | |
| Sodexo | Atlanta | 81 | 2018-11-18 |
Topping the list was Wall Timber Products, Inc at its Sylvania facility, reporting 275 affected workers. Wall Timber Products, Inc followed with 275 workers.
After a dip last month, layoff activity has ticked back up.
These figures highlight a mixed picture for Georgia's labor market, with activity diverging between monthly and annual comparisons. The Finance & Insurance 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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