{"schema_version": 1, "id": "san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10", "product": "Metro Job Market Pulse", "metro": {"geography_id": 429, "label": "San Francisco-Oakland-Fremont, CA MSA", "slug": "san-francisco-oakland-fremont-ca-msa"}, "focus_area": {"key": "general_conditions", "slug": "metro-job-market", "label": "General Market Conditions"}, "period": "2026-10", "public_after": "2026-10-01", "frozen_at": "2026-11-03T08:03:12.817654+00:00", "headline": "Bay Area jobless rate falls to 4.0% as office vacancy stays stuck near 27%.", "headline_summary": "San Francisco-San Mateo unemployment dropped to 4.0% in September, a full point below California's 5.1% statewide rate, even as office vacancy held near 26.7% and tech firms disclosed roughly 1,196 more Bay Area job cuts.", "key_indicators": [{"label": "SF-San Mateo unemployment rate", "value": "4.0%", "context": "Down from 4.1% in August; vs 5.1% statewide"}, {"label": "San Francisco office vacancy", "value": "26.7%", "context": "Little changed year over year"}, {"label": "Bay Area tech job cut disclosures", "value": "1,196", "context": "September 2026, additional disclosed cuts"}, {"label": "California statewide unemployment", "value": "5.1%", "context": "Third straight month; vs 4.1% national rate"}], "takeaways": [{"headline": "Low unemployment coexists with a stalled office market.", "body": "San Francisco-San Mateo's 4.0% unemployment rate is the tightest reading in the Bay Area, yet office vacancy sitting near 26.7% suggests the tech and professional-services core of the downtown economy has not translated tight labor conditions into commercial real estate recovery. The two data points together tell a more complete story than either alone."}, {"headline": "Tech layoff disclosures keep landing, but have not moved the unemployment needle.", "body": "Roughly 1,196 additional Bay Area tech jobs were disclosed as cuts in September, continuing a pattern seen through the year, yet metro unemployment still improved month over month. This is consistent with affected workers either leaving the labor force, relocating, or being absorbed quickly into adjacent sectors rather than appearing in claims data."}, {"headline": "Bay Area outperforms the state, inverting the usual pattern.", "body": "At 4.0%, the SF-San Mateo metro division sits more than a full point below California's 5.1% statewide rate, a reversal of the inland-coastal unemployment gap seen in places like Fresno (8.1%) and Bakersfield-Delano (7.9%). Commerce leaders benchmarking the Bay Area against the state should recognize the metro is currently an outlier of relative strength, not a drag on state figures."}, {"headline": "Wage growth locally outpaces the national posted-wage trend, but inflation still erodes gains.", "body": "Private-sector hourly earnings statewide rose 3.1% year over year in August, ahead of the national posted-wage growth figure of 2.4%, yet CPI inflation of 3.7% means real purchasing power is still contracting for most workers. This dynamic is relevant to any local economic-development messaging built around wage growth alone."}], "local_conditions": "San Francisco-Oakland-Fremont labor conditions diverged from the state in September, with the San Francisco-San Mateo-Redwood City metro division unemployment rate falling to 4.0% \u2014 a full point below California's 5.1% \u2014 even as office vacancy held near 26.7% and tech firms disclosed roughly 1,196 additional Bay Area job cuts. Momentum is being shaped by a split economy: healthcare, education, and public-sector employment remain stable statewide while information-sector softness and elevated office vacancy constrain the metro's historically dominant tech employment base.", "implications": "Sub-4% unemployment alongside persistent tech-sector disclosures signals a metro economy that is tight in aggregate but unevenly distributed \u2014 commercial real estate, retail corridors, and professional services tied to office occupancy face a different reality than healthcare, education, or public administration. Government economists should weigh labor force participation and office-vacancy data together, since a low headline unemployment rate can mask reduced office-dependent commercial activity; commerce leaders evaluating downtown investment or retail expansion should treat the 26.7% vacancy rate as a more decision-relevant signal than the unemployment print alone. Consider cross-referencing foot-traffic or transit-utilization data with the office vacancy figure before drawing conclusions about downtown commercial recovery.\n\n", "looking_ahead": [{"category": "Worth watching", "body": "November 20 brings the official October EDD release for San Francisco-Oakland-Fremont; watch whether the sub-4% unemployment reading in San Francisco-San Mateo holds or reflects a temporary dip ahead of the full metro figure."}, {"category": "Emerging pressure point", "body": "Office vacancy near 26.7% has shown little movement year over year despite tight labor conditions; a continued disconnect between occupancy and employment data is relevant to downtown revitalization and transit-funding planning."}, {"category": "Early indicator", "body": "Tech-sector WARN disclosures (Intel, eBay, and others filed in October per the California WARN tracker) warrant tracking for whether displaced workers surface in Bay Area job-seeking or relocation data in the next two reporting cycles."}, {"category": "Potential inflection point", "body": "SB 951's new requirement that WARN notices disclose AI-driven layoffs takes effect amid continued tech disclosures; the first quarterly EDD displacement report could reshape how automation-related job loss is understood locally."}], "roles": [{"role": "Retail Sales Associate", "data_scope": "metro", "metro_p25": 35443.0, "metro_p50": 41278.0, "metro_p75": 44345.25, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 33340.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Retail Cashier", "data_scope": "metro", "metro_p25": 35152.0, "metro_p50": 40479.0, "metro_p75": 42380.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 31268.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Warehouse/Fulfillment Associate", "data_scope": "metro", "metro_p25": 38950.0, "metro_p50": 44720.0, "metro_p75": 46800.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 38480.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "CDL Truck Driver", "data_scope": "metro", "metro_p25": 55000.0, "metro_p50": 74579.0, "metro_p75": 86283.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 78872.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Delivery Driver", "data_scope": "metro", "metro_p25": 37374.0, "metro_p50": 46489.0, "metro_p75": 52000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 34826.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Construction Laborer", "data_scope": "metro", "metro_p25": 42061.0, "metro_p50": 52000.0, "metro_p75": 59280.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 40726.6, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Electrician", "data_scope": "metro", "metro_p25": 66851.0, "metro_p50": 83879.0, "metro_p75": 93600.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 71835.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Manufacturing Production Worker/Assembler", "data_scope": "metro", "metro_p25": 40371.0, "metro_p50": 48880.0, "metro_p75": 54248.75, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 39520.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Customer Service Representative", "data_scope": "metro", "metro_p25": 38432.0, "metro_p50": 45730.0, "metro_p75": 51854.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 39520.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Food Service Worker", "data_scope": "metro", "metro_p25": 36671.0, "metro_p50": 47320.0, "metro_p75": 52000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 33764.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Certified Nursing Assistant / Home Health Aide", "data_scope": "metro", "metro_p25": 41808.0, "metro_p50": 50960.0, "metro_p75": 55120.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 41600.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Administrative Assistant/Office Clerk", "data_scope": "metro", "metro_p25": 43348.0, "metro_p50": 55634.0, "metro_p75": 63480.5, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 44552.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "HVAC Technician", "data_scope": "metro", "metro_p25": 68028.0, "metro_p50": 77700.0, "metro_p75": 85559.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 71406.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Registered Nurse", "data_scope": "metro", "metro_p25": 104575.0, "metro_p50": 139314.0, "metro_p75": 153373.5, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 102252.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Software Engineer", "data_scope": "metro", "metro_p25": 135200.0, "metro_p50": 182611.0, "metro_p75": 201859.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 154403.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Data Engineer", "data_scope": "metro", "metro_p25": 108506.0, "metro_p50": 152920.6, "metro_p75": 175000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 138000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Accountant", "data_scope": "metro", "metro_p25": 65000.0, "metro_p50": 84240.0, "metro_p75": 96357.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 72000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Financial Analyst", "data_scope": "metro", "metro_p25": 82500.0, "metro_p50": 111876.8, "metro_p75": 123652.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 94646.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "HR Generalist/Manager", "data_scope": "metro", "metro_p25": 72500.0, "metro_p50": 90732.6, "metro_p75": 105150.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 74477.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Marketing Specialist", "data_scope": "metro", "metro_p25": 48448.5, "metro_p50": 75000.0, "metro_p75": 86419.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 62916.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Operations Manager", "data_scope": "metro", "metro_p25": 108843.0, "metro_p50": 120000.0, "metro_p75": 140000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 86294.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Elementary/Secondary School Teacher", "data_scope": "metro", "metro_p25": 50440.0, "metro_p50": 69563.0, "metro_p75": 83304.75, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 55908.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Account Manager", "data_scope": "metro", "metro_p25": 72500.0, "metro_p50": 107500.0, "metro_p75": 132479.5, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 94009.4, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Warehouse Manager", "data_scope": "metro", "metro_p25": 78125.0, "metro_p50": 80000.0, "metro_p75": 80000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 75000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Business Analyst", "data_scope": "metro", "metro_p25": 86286.0, "metro_p50": 101346.0, "metro_p75": 115000.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 98302.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}], "industry_snapshot": [{"sector": "Construction", "median_pay": 101318.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Manufacturing", "median_pay": 138485.5, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "stable", "postings_trend_magnitude": "stable"}, {"sector": "Retail Trade", "median_pay": 51106.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Transportation, Warehousing & Utilities", "median_pay": 66416.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Information", "median_pay": 150000.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Financial Activities", "median_pay": 105537.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Professional & Business Services", "median_pay": 112200.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Education & Health Services", "median_pay": 76960.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "stable", "postings_trend_magnitude": "stable"}, {"sector": "Leisure & Hospitality", "median_pay": 44970.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "stable", "postings_trend_magnitude": "stable"}, {"sector": "Government", "median_pay": 78477.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}], "citations": [], "methodology": "Advertised pay from active employer job postings, not survey data. WageScape's median is calibrated to correct for spurious low-value postings: distribution analysis shows roughly the lowest 10% of raw values are erroneous entries, so the reported median is the 60th percentile of raw advertised pay.", "edition_label": "November 2026", "files": {"html": "san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10.html", "pdf": "san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10.pdf", "sources_html": "san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10.sources.html"}, "published_at": "2026-11-03T08:29:39.956018+00:00", "report_html_url": "https://reports.wagescape.com/archive/v1/editions/san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10.html", "report_pdf_url": "https://reports.wagescape.com/archive/v1/editions/san-francisco-oakland-fremont-ca-msa/metro-job-market/2026-10.pdf"}