Indiana Layoffs — March 2023
Employers in Indiana submitted 4 WARN Act notices in March 2023, putting at risk an estimated 699 workers — up substantially from February and up 45% versus March 2022. The average filing covered 175 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Retail | 1 | 261 |
| Information & Technology | 1 | 65 |
The Retail sector emerged as the hardest-hit sector with 261 workers across 1 notice. Separately, Information & Technology reported 65 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Boone | 1 | 294 |
| Saint Joseph | 1 | 261 |
| Hendricks | 1 | 79 |
| Hamilton | 1 | 65 |
Boone absorbed the greatest share of layoffs, accounting for 42% of all affected workers with 294 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Whitestown | 1 | 294 |
| South Bend | 1 | 261 |
| Plainfield | 1 | 79 |
| Indianapolis | 1 | 65 |
Layoff Type Analysis
Layoff type classification was not available for filings in Indiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Kuehne & Nagel | Whitestown | 294 | ||
| Walmart | South Bend | 261 | ||
| RR Donnelley | Plainfield | 79 | ||
| HighPoint Digital | Indianapolis | 65 |
Topping the list was Kuehne & Nagel at its Whitestown facility, reporting 294 affected workers. Walmart followed with 261 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
These figures highlight mounting pressure on the Indiana labor market, with activity running above both recent and year-ago benchmarks. The Retail 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.