Georgia Layoffs — October 2005
Employers in Georgia recorded 11 WARN Act notices in October 2005, covering approximately 1,007 workers — marking a decline from September and down 47% versus October 2004. The average filing covered 92 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 3 | 374 |
| Manufacturing | 4 | 338 |
| Transportation | 1 | 110 |
| Professional Services | 1 | 95 |
| Mining & Energy | 1 | 60 |
| Retail | 1 | 30 |
The Finance & Insurance sector accounted for the largest share of job cuts with 374 workers across 3 notices. At the same time, Manufacturing reported 338 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Fulton | 1 | 216 |
| Richmond | 2 | 145 |
| Houston | 1 | 137 |
| Douglas | 1 | 110 |
| Glynn | 1 | 95 |
Fulton saw the most concentrated activity, accounting for 21% of all affected workers with 216 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Atlanta | 1 | 216 |
| Augusta | 2 | 145 |
| Warner Robins | 1 | 137 |
| Lithia Springs | 1 | 110 |
| Glynco | 1 | 95 |
Layoff Type Analysis
Layoff type classification was not available for filings in Georgia this month.
Largest Layoffs
Leading the list was Well Point A.k.a. Blue Cross Blue Shield Of Georgia at its Atlanta facility, reporting 216 affected workers. Tamsco followed with 137 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The filings reflect a easing in workforce disruptions across Georgia, with filings falling below both recent and year-ago levels. 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.