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Indiana Layoffs — June 2023

Employers in Indiana recorded 5 WARN Act notices in June 2023, covering approximately 1,142 workers — marking a sharp increase from May and up 460% versus June 2022. The average filing covered 228 workers, with 0 closures among the notices.

5
Notices Filed
1,142
Workers Affected
228
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Indiana
IndustryNoticesWorkers
Transportation1170

The Transportation sector accounted for the largest share of job cuts with 170 workers across 1 notice.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Kosciusko1525
Johnson1240
Hamilton1170
Floyd1109
Vanderburgh198

Kosciusko saw the most concentrated activity, accounting for 46% of all affected workers with 525 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Warsaw1525
Greenwood1240
Indianapolis1170
New Albany1109
Evansville198

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
LSC Communications, Print SolutionsWarsaw525
Pitney BowesGreenwood240
FedEx Supply ChainIndianapolis170
Proterial Cable AmericaNew Albany109
EverQuoteEvansville98

Leading the list was LSC Communications, Print Solutions at its Warsaw facility, reporting 525 affected workers. Pitney Bowes followed with 240 workers.

Trend & Outlook

After a dip last month, layoff activity has ticked back up.

The filings reflect mounting pressure on the Indiana labor market, with activity running above both recent and year-ago benchmarks. The Transportation 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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