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Indiana Layoffs — May 2017

Employers in Indiana logged 6 WARN Act notices in May 2017, involving roughly 2,601 workers — climbing above April and up 295% versus May 2016. The average filing covered 434 workers, with 0 closures among the notices.

6
Notices Filed
2,601
Workers Affected
434
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Indiana
IndustryNoticesWorkers
Retail11,535
Manufacturing1164
Healthcare1111

The Retail sector dominated layoff filings with 1,535 workers across 1 notice. Meanwhile, Manufacturing reported 164 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Hamilton1632
Huntington1164
Madison1111
Wells186
Elkhart173

Hamilton felt the sharpest impact, accounting for 24% of all affected workers with 632 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Indianapolis1632
Huntington1164
Anderson1111
Bluffton186
Bristol173

Layoff Type Analysis

Layoff type classification was not available for filings in Indiana this month.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
Marsh Supermarket1,535
CarrierIndianapolis632
Continental Structural PlasticsHuntington164
St. Vincent HealthAnderson111
BuckhornBluffton86
Mark Line IndustriesBristol73

The biggest impact was at Marsh Supermarket at its Indiana facility, reporting 1,535 affected workers. Carrier followed with 632 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

This data points to 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.

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