Illinois Layoffs — September 2019
Employers in Illinois recorded 4 WARN Act notices in September 2019, covering approximately 236 workers and down 65% versus September 2018. The average filing covered 59 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 2 | 134 |
| Mining & Energy | 1 | 65 |
| Professional Services | 1 | 37 |
The Manufacturing sector accounted for the largest share of job cuts with 134 workers across 2 notices. At the same time, Mining & Energy reported 65 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Wabash | 1 | 73 |
| La Salle | 1 | 65 |
| McLean | 1 | 61 |
| Dupage | 1 | 37 |
Wabash saw the most concentrated activity, accounting for 31% of all affected workers with 73 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Pittsburgh | 1 | 73 |
| Utica | 1 | 65 |
| Mill Hall | 1 | 61 |
| Willowbrook | 1 | 37 |
Layoff Type Analysis
Layoff type classification was not available for filings in Illinois this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Havana Power Plant | Pittsburgh | 73 | ||
| Covia | Utica | 65 | ||
| Duck Creek Power Plant | Mill Hall | 61 | ||
| Sterigenics | Willowbrook | 37 |
Leading the list was Havana Power Plant at its Pittsburgh facility, reporting 73 affected workers. Covia followed with 65 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The filings reflect a mixed picture for Illinois's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Illinois. 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 Illinois WARN notices, browse layoffs by state, or download the full dataset.