Missouri Layoffs — August 2016
Employers in Missouri filed 3 WARN Act notices in August 2016, impacting roughly 194 workers — representing a pullback from July and down 9% versus August 2015. The average filing covered 65 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 1 | 106 |
| Manufacturing | 2 | 88 |
The Healthcare sector led the way in workforce reductions with 106 workers across 1 notice. In a parallel development, Manufacturing reported 88 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Greene | 1 | 106 |
| Callaway | 1 | 87 |
| Saint Louis | 1 | 1 |
Greene was the epicenter of layoff activity, accounting for 55% of all affected workers with 106 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Springfield | 1 | 106 |
| Fulton | 1 | 87 |
| Maryland Heights | 1 | 1 |
Layoff Type Analysis
| Type | Notices | Workers |
|---|---|---|
| Layoff | 3 | 194 |
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Crothall Healthcare | Springfield | 106 | Layoff | |
| HarbisonWalker International | Fulton | 87 | Layoff | |
| SunEdison | Maryland Heights | 1 | Layoff |
The single largest action involved Crothall Healthcare at its Springfield facility, reporting 106 affected workers. HarbisonWalker International followed with 87 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The data underscores a easing in workforce disruptions across Missouri, with filings falling below both recent and year-ago levels. The Healthcare 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.