Indiana Layoffs — October 2015
Employers in Indiana filed 5 WARN Act notices in October 2015, impacting roughly 1,451 workers — representing a notable rise over September and up 413% versus October 2014. The average filing covered 290 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Construction | 1 | 160 |
The Construction sector led the way in workforce reductions with 160 workers across 1 notice.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Randolph | 1 | 734 |
| Floyd | 2 | 419 |
| Spencer | 1 | 160 |
| Dubois | 1 | 138 |
Randolph felt the sharpest impact, accounting for 51% of all affected workers with 734 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Winchester | 1 | 734 |
| New Albany | 2 | 419 |
| Rockport | 1 | 160 |
| Huntingburg | 1 | 138 |
Layoff Type Analysis
Layoff type classification was not available for filings in Indiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Indiana Marujun | Winchester | 734 | ||
| General Mills | New Albany | 343 | ||
| CB&I and Webster Construction | Rockport | 160 | ||
| UMI LLC & United Minerals | Huntingburg | 138 | ||
| Sonoco | New Albany | 76 |
The single largest action involved Indiana Marujun at its Winchester facility, reporting 734 affected workers. General Mills followed with 343 workers.
Trend & Outlook
This marks the third consecutive month of rising layoff activity.
The data underscores mounting pressure on the Indiana labor market, with activity running above both recent and year-ago benchmarks. The Construction sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Indiana. 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 Indiana WARN notices, browse layoffs by state, or download the full dataset.