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South Carolina Layoffs — November 2016

Employers in South Carolina filed 3 WARN Act notices in November 2016, impacting roughly 116 workers — representing a pullback from October and down 37% versus November 2015. The average filing covered 39 workers, with 3 closures among the notices.

3
Notices Filed
116
Workers Affected
39
Avg per Notice
3
Closures

Industry Breakdown

Industry breakdown for South Carolina
IndustryNoticesWorkers
Manufacturing2109
Utilities17

The Manufacturing sector led the way in workforce reductions with 109 workers across 2 notices. In a parallel development, Utilities reported 7 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Dillon199
Newberry110
Marlboro17

Dillon was the epicenter of layoff activity, accounting for 85% of all affected workers with 99 workers across 1 notices.

Top cities by layoff notices
CityNoticesWorkers
Latta199
Newberry110
Clio17

Layoff Type Analysis

Layoff types breakdown
TypeNoticesWorkers
Closure3116

The high proportion of closures (100% of affected workers) suggests structural shifts rather than temporary cutbacks in South Carolina's labor market.

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
WestRockLatta99Closure
CaterpillarNewberry10Closure
Baldor ElectricClio7Closure

The single largest action involved WestRock at its Latta facility, reporting 99 affected workers. Caterpillar followed with 10 workers.

Trend & Outlook

The data underscores a easing in workforce disruptions across South Carolina, with filings falling below both recent and year-ago levels. The Manufacturing sector warrants close attention heading into the next period.

This analysis is based on official WARN Act filings reported by South Carolina. 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 South Carolina WARN notices, browse layoffs by state, or download the full dataset.

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