Kansas Layoffs — April 2006
Employers in Kansas reported 4 WARN Act notices in April 2006, displacing an estimated 771 workers — signaling an acceleration from March and up 100% versus April 2005. The average filing covered 193 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 3 | 499 |
| Information & Technology | 1 | 272 |
The Manufacturing sector topped the list of affected industries with 499 workers across 3 notices. Notably, Information & Technology reported 272 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Sedgwick | 2 | 406 |
| Kearny | 1 | 272 |
| Johnson | 1 | 93 |
Sedgwick absorbed the greatest share of layoffs, accounting for 53% of all affected workers with 406 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Wichita | 2 | 406 |
| Deerfield | 1 | 272 |
| Lenexa | 1 | 93 |
Layoff Type Analysis
Layoff type classification was not available for filings in Kansas this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Boeing | Wichita | 313 | ||
| APAC Customer Services | Deerfield | 272 | ||
| VF Corporation | Wichita | 93 | ||
| The North Face | Lenexa | 93 |
The most significant filing came from Boeing at its Wichita facility, reporting 313 affected workers. APAC Customer Services followed with 272 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
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.