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Kansas Layoffs — December 2019

Employers in Kansas reported 6 WARN Act notices in December 2019, displacing an estimated 274 workers — signaling an acceleration from November and up 80% versus December 2018. The average filing covered 46 workers, with 0 closures among the notices.

6
Notices Filed
274
Workers Affected
46
Avg per Notice
0
Closures

Industry Breakdown

Industry breakdown for Kansas
IndustryNoticesWorkers
Finance & Insurance199
Manufacturing154
Retail311

The Finance & Insurance sector topped the list of affected industries with 99 workers across 1 notice. Notably, Manufacturing reported 54 workers.

Geographic Hotspots

Top counties by layoff notices
CountyNoticesWorkers
Sedgwick3169
Johnson199
Douglas14

Sedgwick saw the most concentrated activity, accounting for 62% of all affected workers with 169 workers across 3 notices.

Top cities by layoff notices
CityNoticesWorkers
Wichita3169
Overland Park199
Lawrence14

Layoff Type Analysis

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

Largest Layoffs

Largest layoff notices
CompanyCityWorkersTypeDate
The Atlas GroupWichita110
Home Credit USOverland Park99
Cox MachineWichita54
Cato FashionsWichita5
Ellen Plumb BookstoreLawrence4
Gun Den2

The most significant filing came from The Atlas Group at its Wichita facility, reporting 110 affected workers. Home Credit US followed with 99 workers.

Trend & Outlook

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

The numbers illustrate mounting pressure on the Kansas labor market, with activity running above both recent and year-ago benchmarks. The Finance & Insurance sector warrants close attention heading into the next period.

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

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