Employers in Maine reported 5 WARN Act notices in April 2021, displacing an estimated 140 workers — signaling an acceleration from March and down 80% versus April 2020. The average filing covered 28 workers, with 0 closures among the notices.
| Industry | Notices | Workers |
|---|---|---|
| Utilities | 1 | 70 |
| Agriculture | 1 | 50 |
| Retail | 1 | 11 |
The Utilities sector topped the list of affected industries with 70 workers across 1 notice. Notably, Agriculture reported 50 workers.
| County | Notices | Workers |
|---|---|---|
| Penobscot | 1 | 70 |
| Somerset | 1 | 50 |
| Washington | 1 | 11 |
| Cumberland | 1 | 6 |
| Waldo | 1 | 3 |
Penobscot bore the heaviest burden, accounting for 50% of all affected workers with 70 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Bangor | 1 | 70 |
| Madison | 1 | 50 |
| Machias | 1 | 11 |
| South Portland | 1 | 6 |
| Belfast | 1 | 3 |
Layoff type classification was not available for filings in Maine this month.
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| General Electric | Bangor | 70 | 2021-04-28 | |
| Backyard Farms | Madison | 50 | 2021-04-13 | |
| Dollar Tree | Machias | 11 | 2021-04-23 | |
| Day One | South Portland | 6 | 2021-04-23 | |
| Delvina | Belfast | 3 | 2021-04-30 |
The most significant filing came from General Electric at its Bangor facility, reporting 70 affected workers. Backyard Farms followed with 50 workers.
After a dip last month, layoff activity has ticked back up.
The numbers illustrate a mixed picture for Maine's labor market, with activity diverging between monthly and annual comparisons. The Utilities sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Maine. 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 Maine WARN notices, browse layoffs by state, or download the full dataset.
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