Louisiana Layoffs — March 2008
Employers in Louisiana filed 3 WARN Act notices in March 2008, impacting roughly 680 workers — representing a notable rise over February and up 423% versus March 2007. The average filing covered 227 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 520 |
| Finance & Insurance | 1 | 160 |
The Manufacturing sector led the way in workforce reductions with 520 workers across 2 notices. In a parallel development, Finance & Insurance reported 160 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Webster | 1 | 401 |
| Jefferson | 1 | 160 |
| Red River | 1 | 119 |
Webster felt the sharpest impact, accounting for 59% of all affected workers with 401 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Springhill | 1 | 401 |
| New Orleans | 1 | 160 |
| Coushatta | 1 | 119 |
Layoff Type Analysis
Layoff type classification was not available for filings in Louisiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Georgia Pacific | Springhill | 401 | ||
| Capital One Bank | New Orleans | 160 | ||
| Hood Industries | Coushatta | 119 |
The single largest action involved Georgia Pacific at its Springhill facility, reporting 401 affected workers. Capital One Bank followed with 160 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores mounting pressure on the Louisiana 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 Louisiana. 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 Louisiana WARN notices, browse layoffs by state, or download the full dataset.