Missouri Layoffs — February 2011
Employers in Missouri recorded 4 WARN Act notices in February 2011, covering approximately 413 workers — marking a decline from January and down 48% versus February 2010. The average filing covered 103 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Finance & Insurance | 2 | 283 |
| Manufacturing | 2 | 130 |
The Finance & Insurance sector accounted for the largest share of job cuts with 283 workers across 2 notices. At the same time, Manufacturing reported 130 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Clay | 1 | 195 |
| Saint Charles | 1 | 88 |
| Pike | 1 | 80 |
| Boonville | 1 | 50 |
Clay absorbed the greatest share of layoffs, accounting for 47% of all affected workers with 195 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Kansas City | 1 | 195 |
| St. Charles | 1 | 88 |
| Louisiana | 1 | 80 |
| Boonville | 1 | 50 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 4 | 413 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Wells Fargo | Kansas City | 195 | Layoff | |
| Western Union | St. Charles | 88 | Layoff | |
| Ashland Hercules | Louisiana | 80 | Layoff | |
| Nordyne | Boonville | 50 | Layoff |
Leading the list was Wells Fargo at its Kansas City facility, reporting 195 affected workers. Western Union followed with 88 workers.
Trend & Outlook
The filings reflect a easing in workforce disruptions across Missouri, 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 Missouri. 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 Missouri WARN notices, browse layoffs by state, or download the full dataset.