Indiana Layoffs — February 2019
Employers in Indiana reported 3 WARN Act notices in February 2019, displacing an estimated 504 workers — signaling an acceleration from January and down 64% versus February 2018. The average filing covered 168 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Information & Technology | 1 | 300 |
| Utilities | 1 | 82 |
The Information & Technology sector topped the list of affected industries with 300 workers across 1 notice. Notably, Utilities reported 82 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Kosciusko | 1 | 300 |
| Huntington | 1 | 122 |
| Warrick | 1 | 82 |
Kosciusko bore the heaviest burden, accounting for 60% of all affected workers with 300 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Warsaw | 1 | 300 |
| Richmond | 1 | 122 |
| Boonville | 1 | 82 |
Layoff Type Analysis
Layoff type classification was not available for filings in Indiana this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| KGP Telecommunications | Warsaw | 300 | ||
| Matthews International | Richmond | 122 | ||
| White Stallion Energy | Boonville | 82 |
The most significant filing came from KGP Telecommunications at its Warsaw facility, reporting 300 affected workers. Matthews International followed with 122 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate a mixed picture for Indiana's labor market, with activity diverging between monthly and annual comparisons. The Information & Technology 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.