Texas Layoffs — September 2020
Employers in Texas recorded 16 WARN Act notices in September 2020, covering approximately 752 workers — marking a decline from August and down 30% versus September 2019. The average filing covered 47 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Professional Services | 8 | 247 |
| Arts & Entertainment | 1 | 242 |
| Retail | 3 | 159 |
| Accommodation & Food | 4 | 104 |
The Professional Services sector accounted for the largest share of job cuts with 247 workers across 8 notices. At the same time, Arts & Entertainment reported 242 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Bexar | 5 | 346 |
| Dallas | 8 | 247 |
| Collin | 1 | 144 |
| Harris | 1 | 10 |
| Tarrant | 1 | 5 |
Bexar bore the heaviest burden, accounting for 46% of all affected workers with 346 workers across 5 notices.
| City | Notices | Workers |
|---|---|---|
| San Antonio | 5 | 346 |
| Dallas | 8 | 247 |
| Plano | 1 | 144 |
| Houston | 1 | 10 |
| Ft. Worth | 1 | 5 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
Leading the list was SeaWorld of Texas LLC DBA SeaWorld San Antonio DBA Aquatica San Antonio at its San Antonio facility, reporting 242 affected workers. JC Penney - Plano2 (Collin Creek Mall) followed with 144 workers.
Trend & Outlook
This is the third consecutive month of declining layoff activity.
The filings reflect a easing in workforce disruptions across Texas, with filings falling below both recent and year-ago levels. The Professional Services sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Texas. 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 Texas WARN notices, browse layoffs by state, or download the full dataset.