Texas Layoffs — December 1999
Employers in Texas reported 13 WARN Act notices in December 1999, displacing an estimated 1,055 workers — signaling an acceleration from November. The average filing covered 81 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 5 | 383 |
| Healthcare | 3 | 249 |
| Utilities | 1 | 116 |
| Finance & Insurance | 1 | 109 |
| Transportation | 1 | 98 |
| Information & Technology | 1 | 60 |
| Professional Services | 1 | 40 |
The Manufacturing sector topped the list of affected industries with 383 workers across 5 notices. Notably, Healthcare reported 249 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Harris | 4 | 285 |
| Dallas | 2 | 224 |
| Ellis | 1 | 153 |
| Jefferson | 1 | 98 |
| Collin | 1 | 98 |
Harris absorbed the greatest share of layoffs, accounting for 27% of all affected workers with 285 workers across 4 notices.
| City | Notices | Workers |
|---|---|---|
| Houston | 3 | 207 |
| Ennis | 1 | 153 |
| Coppell | 1 | 115 |
| Dallas | 1 | 109 |
| Sabine Pass | 1 | 98 |
Layoff Type Analysis
Layoff type classification was not available for filings in Texas this month.
Largest Layoffs
The most significant filing came from Baylor Medical Center - Ellis County at its Ennis facility, reporting 153 affected workers. Columbia Energy Services followed with 116 workers.
Trend & Outlook
After a dip last month, layoff activity has ticked back up.
The numbers illustrate mounting pressure on the Texas labor market, with activity running above both recent and year-ago benchmarks. The Manufacturing 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.