Indiana Layoffs — January 2026
Employers in Indiana posted 4 WARN Act notices in January 2026, affecting an estimated 316 workers — reflecting a cooling compared to December and up 198% versus January 2025. The average filing covered 79 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Healthcare | 1 | 55 |
| Transportation | 1 | 53 |
The Healthcare sector saw the heaviest impact with 55 workers across 1 notice. On a related front, Transportation reported 53 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Elkhart | 1 | 144 |
| Tippecanoe | 1 | 64 |
| Ripley | 1 | 55 |
| Boone | 1 | 53 |
Elkhart saw the most concentrated activity, accounting for 46% of all affected workers with 144 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Goshen | 1 | 144 |
| West Lafayette | 1 | 64 |
| Batesville | 1 | 55 |
| Lebanon | 1 | 53 |
Layoff Type Analysis
Layoff type classification was not available for filings in Indiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Wabash | Goshen | 144 | ||
| Inari Agriculture | West Lafayette | 64 | ||
| Margaret Mary Community Hospital (dba Margaret Mary Health) | Batesville | 55 | ||
| National Distribution Centers | Lebanon | 53 |
The largest notice was filed by Wabash at its Goshen facility, reporting 144 affected workers. Inari Agriculture followed with 64 workers.
Trend & Outlook
The trends suggest a mixed picture for Indiana's labor market, with activity diverging between monthly and annual comparisons. The Healthcare 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.