Kansas Layoffs — November 2007
Employers in Kansas reported 3 WARN Act notices in November 2007, displacing an estimated 378 workers — signaling an acceleration from October and up 330% versus November 2006. The average filing covered 126 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 217 |
| Finance & Insurance | 1 | 105 |
| Professional Services | 1 | 56 |
The Manufacturing sector topped the list of affected industries with 217 workers across 1 notice. Notably, Finance & Insurance reported 105 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Sedgwick | 1 | 217 |
| Johnson | 2 | 161 |
Sedgwick felt the sharpest impact, accounting for 57% of all affected workers with 217 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Wichita | 1 | 217 |
| Mission | 1 | 105 |
| Lenexa | 1 | 56 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 1 | 217 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| LSI | Wichita | 217 | Layoff | |
| Great American Supplemental Benefits Group | Mission | 105 | ||
| SAIC - From Science to Solutions | Lenexa | 56 |
The most significant filing came from LSI at its Wichita facility, reporting 217 affected workers. Great American Supplemental Benefits Group followed with 105 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate mounting pressure on the Kansas 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 Kansas. 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 Kansas WARN notices, browse layoffs by state, or download the full dataset.