WARN Act mass layoff and plant closure notices in Santa Rosa, California, updated daily.
Workers affected by industry sector
Workers affected by notice type
| Company | City | Employees | Notice Date | Type |
|---|---|---|---|---|
| Wildbrine, LLC | Santa Rosa | 4 | 2025-07-31 | Closure |
| Safeway Inc | Santa Rosa | 3 | 2025-06-20 | Closure |
| Kaiser Foundation Hospitals 401 | Wy. Santa Rosa | 1 | 2025-04-29 | Layoff |
| Vintage Wine Estates, Inc | Santa Rosa | 5 | 2024-10-21 | Layoff |
| Amys Kitchen, Inc | Santa Rosa | 22 | 2024-10-08 | Layoff |
| Amys Kitchen, Inc | Santa Rosa | 283 | 2024-10-08 | Layoff |
| L3Harris Technologies, Sonoma EO | Santa Rosa | 49 | 2024-10-07 | Closure |
| Wildbrine, LLC | Santa Rosa | 37 | 2024-10-01 | Closure |
| Vintage Wine Estates, Inc | Santa Rosa | 101 | 2024-07-24 | Closure |
| Aura Management Co | Santa Rosa | 12 | 2024-04-18 | Closure |
| La Tortilla Factory, Inc | Santa Rosa | 132 | 2024-02-22 | Closure |
| Cygnus Home Service, LLC dba Yelloh | Todd Road Santa Rosa | 9 | 2023-12-01 | Closure |
| ATI Restoration, LLC | Drive Santa Rosa | 18 | 2023-09-13 | Closure |
| Yellow Corporation | Santa Rosa | 29 | 2023-08-18 | Closure |
| DZConneX at Coddington Mall Kiosk | Ctr Santa Rosa | 1 | 2022-11-08 | Layoff |
| California Human Development Substance Recovery Services (Outpatient Treatment) | Drive Santa Rosa | 9 | 2022-05-12 | Closure |
| California Human Development Substance Recovery Services (Residential) | Santa Rosa | 11 | 2022-05-12 | Closure |
| California Human Development Disability Services | Santa Rosa | 18 | 2022-05-12 | Closure |
| Boston Scientific Corporation | Santa Rosa | 168 | 2021-04-28 | Closure |
| Epic Ventures Inc. dba Epic Wines & Spirits | Santa Rosa | 98 | 2021-03-23 | Closure |
# Santa Rosa's Layoff Landscape: A Detailed Economic Analysis
Santa Rosa has experienced substantial workforce disruptions over the past 16 years, with 70 WARN notices displacing 4,284 workers across the city's economy. This figure represents a meaningful but not catastrophic level of labor market churn for a metropolitan area with a population exceeding 180,000. To contextualize this data: if these layoffs occurred evenly across the period, they represent an average of roughly 268 job losses annually, or about 0.3 percent of the city's workforce per year. However, the distribution has been decidedly uneven, with significant concentration in specific years that reveal distinct economic shocks and sectoral vulnerabilities.
The 4,284 affected workers represent real household disruptions—lost income, health insurance gaps, unemployment benefits claims, and forced geographic mobility. For Santa Rosa's working-age population, these WARN notices signal periods of genuine labor market stress, particularly when multiple large employers file simultaneously. The economic reverberations extend beyond the displaced workers themselves to local retailers, landlords, and service providers who depend on stable consumer spending.
Santa Rosa's layoff pattern reveals a striking concentration among relatively few large employers. The top 15 employers account for 2,697 of the 4,284 total layoffs—approximately 63 percent of all workforce displacement tracked by WARN notices. This concentration indicates that Santa Rosa's economy carries elevated vulnerability to individual corporate decisions by a small number of major employers.
Redwood Regional Medical Group, Inc stands out as the most frequent filer, submitting seven notices affecting 215 workers. This prolific filing pattern suggests the organization has undergone sustained restructuring, workforce optimization, or service consolidation efforts over the period covered by the data. The repeated notices indicate this wasn't a single discrete event but rather an ongoing process of workforce adjustment, possibly reflecting shifts in patient demand, reimbursement rates, or consolidation within the healthcare delivery system.
Transportation services have also proven volatile. First Student, a school transportation operator, filed three notices displacing 267 workers—making it the second-largest source of layoffs in absolute numbers despite fewer filing instances than the medical group. This suggests school transportation faced either declining student populations, route consolidation, or operational changes that necessitated substantial workforce reductions.
Food manufacturing represents another concentration point. Amy's Kitchen, Inc, a organic and vegetarian food company, filed twice and affected 305 workers, while Mesa Beverage Co., Inc displaced 274 workers across two notices. These food sector disruptions likely reflect competitive pressures in their respective market segments, possible automation initiatives, or changes in retailer purchasing patterns that rippled back to manufacturers.
The hospitality and wine industries have contributed meaningfully to layoffs, though somewhat less dramatically than food manufacturing. Hyatt Regency Sonoma Wine Country and Safari West each filed twice, affecting 160 and 165 workers respectively. Vintage Wine Estates, Inc displaced 106 workers across two notices. These hospitality and wine sector reductions likely correlate with tourism cycles, seasonal demand volatility, and the particular vulnerability of wine country employment to market fluctuations in wine consumption and tourism spending.
Medical device manufacturing has also triggered significant displacements. Medtronic filed once and affected 238 workers, while Boston Scientific Corporation displaced 168 workers in a single notice. Both represent examples of larger corporations with facilities in Santa Rosa deciding to consolidate, relocate, or right-size operations—decisions driven by broader corporate strategy rather than local economic conditions. Notably, Hansel Auto Group filed once but displaced 310 workers, suggesting a single dramatic restructuring event rather than ongoing adjustment.
The industry breakdown reveals that manufacturing and healthcare dominate Santa Rosa's layoff landscape, accounting for 1,112 of 4,284 displacements—26 percent of the total. Manufacturing alone generated 573 displacements across six notices, representing an average displacement of 95 workers per notice—substantially higher than the overall average of 61 workers per notice. This pattern indicates that when manufacturing firms decide to reduce workforce, they tend to do so decisively, suggesting manufacturing layoffs in Santa Rosa stem from strategic corporate decisions rather than marginal adjustments.
Healthcare represents a different phenomenon. The sector generated 13 notices affecting 539 workers—a smaller per-notice impact (41 workers) but persistent instability. The healthcare notices cluster around hospital systems and medical groups rather than distributed across numerous small providers, indicating the volatility concentrates in large integrated delivery systems experiencing repeated restructuring.
The retail sector filed four notices affecting only 81 workers—the lowest impact per-notice ratio of any major sector at just 20 workers per notice. Retail layoffs in Santa Rosa have been incremental rather than catastrophic, suggesting the sector experienced gradual contraction rather than sudden shocks.
Several structural forces explain these patterns. Healthcare consolidation and the transition to value-based care have forced repeated workforce adjustments in hospital systems and medical groups seeking efficiency gains and new operational models. Manufacturing competitiveness pressures, including exposure to global competition and automation, appear to have driven the larger per-event displacements in food production and medical device manufacturing. The wine and hospitality sectors appear particularly cyclical, vulnerable to tourism fluctuations and consumer spending patterns driven by macroeconomic conditions.
The utilities sector, represented by Pacific Gas and Electric Company's two notices affecting 12 workers, shows minimal impact despite the company's enormous local footprint. This suggests major utility operations either maintained relatively stable employment during the period or conducted workforce adjustments through means other than large group layoffs requiring WARN notices.
Examining the temporal distribution of WARN notices reveals a dramatic pattern: 2020 accounts for 25 of 70 total notices—approximately 36 percent of all filings over 16 years. This concentration in a single year immediately signals the COVID-19 pandemic as the defining economic shock in Santa Rosa's recent layoff history.
The years prior to 2020 show relatively modest activity. From 2009 through 2019, Santa Rosa accumulated 45 notices affecting workers across varied industries. The pattern was episodic—three notices in 2009 (likely recession-related responses to the financial crisis aftermath), sparse activity from 2011 through 2013, then gradual increases in 2014-2017, followed by relative calm in 2018. This pre-pandemic pattern suggests a labor market with occasional sectoral shocks but general stability.
The 2020 surge reflects the pandemic's immediate employment impact, particularly in hospitality, food service, and tourism-dependent sectors. Santa Rosa's economy, with meaningful wine country tourism, ski resort operations (Alpine County nearby), and hospitality employment, proved vulnerable to sudden demand collapse in early 2020.
Post-2020 activity shows 2021 with five notices and declining filings thereafter—two in 2022, one in 2023, and eight in 2024. The 2024 uptick warrants monitoring; eight notices represent a return to more active layoff filing than 2021-2023 but substantially below 2020 levels. This suggests either emerging sectoral pressures or potential continuation of corporate right-sizing trends that may have initiated during pandemic recovery.
The overall trajectory indicates that Santa Rosa's layoff activity is not trending consistently upward or downward but rather remains episodic and shock-driven. The city experienced one extraordinary shock (2020), normal background labor market churn before that, and uncertain conditions thereafter. This pattern differs sharply from regions experiencing sustained secular decline in major industries.
The 4,284 affected workers over 16 years represents cumulative occupational displacement concentrated in specific skilled and semi-skilled occupations. Medical professionals displaced from healthcare facilities and transportation specialists from First Student likely faced moderate re-employment difficulty given their skills' specificity to their sectors. Manufacturing workers in food and beverage production or medical devices faced potentially steeper challenges given limited manufacturing employment growth in Northern California.
The concentration of large displacing events among a small number of employers creates a labor market vulnerability: when one of these major employers files a WARN notice, it suddenly floods the local job market with qualified candidates seeking immediate employment. This can temporarily suppress wage growth in affected occupational categories and create skill-matching difficulties between displaced workers' experience and available positions.
Santa Rosa's inability to diversify away from healthcare, manufacturing, hospitality, and food production leaves the local labor market exposed to the specific vulnerabilities of these sectors. The healthcare emphasis, while providing stable employment, also means workforce disruptions are driven by hospital system consolidation and reimbursement dynamics largely beyond local control. Manufacturing exposure, particularly in niche segments like specialty food production and medical devices, creates dependency on corporate decisions made at distant corporate headquarters.
The data shows no evidence of sustained economic decline but rather episodic adjustment and corporate restructuring. However, the repeated healthcare layoffs and apparent absence of major growth-stage employers filing WARN notices suggests Santa Rosa may be experiencing gradual sector rotation rather than robust expansion into new employment bases.
California's broader economy has experienced similar healthcare consolidation, manufacturing pressure from automation and global competition, and hospitality vulnerability to cyclical demand. Santa Rosa's WARN notice profile aligns with statewide patterns, though the particular concentration in healthcare and specialty food manufacturing reflects the region's economic structure rather than diverging from California trends.
The wine industry employment volatility evident in Santa Rosa's data reflects broader California wine country dynamics—Napa and Sonoma counties have experienced cyclical wine market pressures, changing wine consumption patterns favoring certain varietals and price points, and consolidation among wine producers. Santa Rosa's proximity to wine country means employment linked to wine tourism and production remains important despite not dominating the layoff data.
Healthcare sector concentration in Santa Rosa represents a broader Northern California pattern in which hospital systems have consolidated and repeatedly restructured. The presence of multiple healthcare systems (Sutter, Redwood, Santa Rosa Memorial) competing locally has likely intensified consolidation pressures as systems seek operational efficiency and care coordination.
Manufacturing employment in Santa Rosa exists within California's larger context of manufacturing decline. The state has lost manufacturing employment consistently since the 1990s, with only specialized sectors remaining competitive. Santa Rosa's presence of medical device manufacturers and specialty food producers reflects California's remaining competitive niches—high-skill manufacturing and branded specialty goods—rather than high-volume commodity production. The WARN notices from Medtronic and Boston Scientific likely reflect global corporate consolidation rather than competitive failure specific to Santa Rosa.
The data suggests Santa Rosa occupies a middle position in California's economic hierarchy. The city is neither a major tech hub experiencing rapid growth and acquisition-driven consolidation (like the Bay Area proper) nor a declining manufacturing center experiencing sustained contraction. Instead, it appears to be a regionally important employment center dependent on healthcare, hospitality, and niche manufacturing—sectors with their own distinct volatility patterns but not currently experiencing terminal decline.
The 70 total notices affecting 4,284 workers represents meaningful economic disruption for individuals and their households but does not indicate systemic economic distress. A city with meaningful unemployment spikes, negative population migration, or declining property values would present a very different picture. Santa Rosa's role as a regional hub for healthcare, retail, and hospitality appears intact despite layoff activity.
Looking forward, the 2024 uptick in notices (eight total) warrants monitoring to determine whether this represents reversion to normal background churn or the beginning of a new disruption cycle. If healthcare consolidation continues and manufacturing further optimizes operations through automation, Santa Rosa may see continued episodic but not economically catastrophic layoff activity. However, if the city successfully diversifies its employment base to include growth-stage industries beyond healthcare and tourism, future layoff patterns may shift toward different sectors and potentially lower overall displacement rates relative to job creation in expanding industries.
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