California Layoffs — September 2009
Employers in California posted 91 WARN Act notices in September 2009, affecting an estimated 3,355 workers — reflecting a cooling compared to August. The average filing covered 37 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 18 | 696 |
| Finance & Insurance | 26 | 690 |
| Information & Technology | 19 | 537 |
| Accommodation & Food | 6 | 499 |
| Healthcare | 3 | 357 |
| Retail | 3 | 175 |
| Utilities | 1 | 100 |
| Education | 1 | 93 |
The Manufacturing sector saw the heaviest impact with 696 workers across 18 notices. On a related front, Finance & Insurance reported 690 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Los Angeles | 31 | 974 |
| Santa Clara | 12 | 548 |
| Orange | 8 | 317 |
| Sacramento | 3 | 280 |
| San Joaquin | 2 | 233 |
Los Angeles felt the sharpest impact, accounting for 29% of all affected workers with 974 workers across 31 notices.
| City | Notices | Workers |
|---|---|---|
| Los Angeles | 4 | 719 |
| Sacramento | 2 | 278 |
| Stockton | 2 | 233 |
| Pacific Grove | 1 | 200 |
| San Jose | 4 | 187 |
Layoff Type Analysis
Layoff type classification was not available for filings in California this month.
Largest Layoffs
The largest notice was filed by Comprehensive Cancer Centers at its Los Angeles facility, reporting 276 affected workers. Hotel Bel-Air followed with 274 workers.
Trend & Outlook
The trends suggest a mixed picture for California's labor market, with activity diverging between monthly and annual comparisons. The Manufacturing sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by California. 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 California WARN notices, browse layoffs by state, or download the full dataset.