Tennessee Layoffs — September 2017

Employers in Tennessee filed 6 WARN Act notices in September 2017, impacting roughly 2,192 workers — representing a notable rise over August and up 112% versus September 2016. The average filing covered 365 workers, with 1 closure among the notices.

6
Notices Filed
2,192
Workers Affected
365
Avg per Notice
1
Closures

Industry Breakdown

IndustryNoticesWorkers
Information & Technology155

The Information & Technology sector led the way in workforce reductions with 55 workers across 1 notice.

Geographic Hotspots

CountyNoticesWorkers
Maury42,082
Shelby2110

Maury saw the most concentrated activity, accounting for 95% of all affected workers with 2,082 workers across 4 notices.

CityNoticesWorkers
Spring Hill42,082
Memphis2110

Layoff Type Analysis

TypeNoticesWorkers
Layoff21,041
Closure155

Closures accounted for 3% of affected workers, while the majority of filings were layoffs rather than permanent shutdowns.

Largest Layoffs

CompanyCityWorkersTypeDate
General Motors LLCSpring Hill680Layoff2017-09-22
General MotorsSpring Hill6802017-09-22
RyderSpring Hill361Layoff2017-09-26
RyderSpring Hill3612017-09-26
Gannett Publishing ServicesMemphis55Closure2017-09-28
GannettMemphis552017-09-28

The single largest action involved General Motors LLC at its Spring Hill facility, reporting 680 affected workers. General Motors followed with 680 workers.

Trend & Outlook

This marks the third consecutive month of rising layoff activity.

The data underscores mounting pressure on the Tennessee labor market, with activity running above both recent and year-ago benchmarks. The Information & Technology sector warrants close attention heading into the next period.

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

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