Indiana Layoffs — January 2016
Employers in Indiana submitted 4 WARN Act notices in January 2016, putting at risk an estimated 284 workers — up substantially from December and down 77% versus January 2015. The average filing covered 71 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Transportation | 1 | 90 |
| Healthcare | 1 | 78 |
| Mining & Energy | 1 | 66 |
| Manufacturing | 1 | 50 |
The Transportation sector emerged as the hardest-hit sector with 90 workers across 1 notice. Separately, Healthcare reported 78 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Hendricks | 2 | 140 |
| Hamilton | 1 | 78 |
| Warrick | 1 | 66 |
Hendricks felt the sharpest impact, accounting for 49% of all affected workers with 140 workers across 2 notices.
| City | Notices | Workers |
|---|---|---|
| Plainfield | 2 | 140 |
| Indianapolis | 1 | 78 |
| Boonville | 1 | 66 |
Layoff Type Analysis
Layoff type classification was not available for filings in Indiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Genco | Plainfield | 90 | ||
| ADVANTAGE Health Solutions | Indianapolis | 78 | ||
| Vigo Coal | Boonville | 66 | ||
| Southwire | Plainfield | 50 |
Topping the list was Genco at its Plainfield facility, reporting 90 affected workers. ADVANTAGE Health Solutions followed with 78 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight a mixed picture for Indiana's labor market, with activity diverging between monthly and annual comparisons. The Transportation 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.