{"schema_version": 1, "id": "washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10", "product": "Metro Job Market Pulse", "metro": {"geography_id": 372, "label": "Washington-Arlington-Alexandria, DC-VA-MD-WV MSA", "slug": "washington-arlington-alexandria-dc-va-md-wv-msa"}, "focus_area": {"key": "general_conditions", "slug": "metro-job-market", "label": "General Market Conditions"}, "period": "2026-10", "public_after": "2026-10-01", "frozen_at": "2026-11-03T08:12:25.884996+00:00", "headline": "DC metro posts nation's steepest job losses as federal cuts spread.", "headline_summary": "Washington-Arlington-Alexandria lost roughly 66,000 jobs year-over-year, the largest decline among U.S. metros, as 54,000-plus federal position eliminations ripple into contracting and hospitality even while national unemployment held at 4.1%.", "key_indicators": [{"label": "Metro YoY employment change", "value": "-66,000 jobs (-2.0%)", "context": "Largest decline of any U.S. metro, BLS"}, {"label": "Federal jobs eliminated, DMV", "value": "54,000+", "context": "Of 300,000+ cut nationally"}, {"label": "National unemployment rate", "value": "4.1%", "context": "Stable since March 2026, BLS"}, {"label": "DC-area hotel employment", "value": "-2%+ YoY", "context": "NOVA hotel employment down over 1% YoY"}], "takeaways": [{"headline": "Federal contraction is the metro's defining story this month.", "body": "A 66,000-job year-over-year decline, the steepest of any metro nationally, traces largely to over 54,000 eliminated federal positions and reduced agency procurement. Contractors and adjacent service industries, along with federal payrolls directly, appear to be absorbing a second round of impact."}, {"headline": "Hospitality softness looks like a downstream signal.", "body": "Northern Virginia hotel employment down over 1% and DC-area hotel employment down over 2% year-over-year is consistent with reduced federal travel, conferences, and contractor activity, pointing to a broader pass-through effect beyond standalone demand shifts. Commerce leaders in tourism-adjacent sectors may want to track this as a leading indicator of broader federal spending pass-through."}, {"headline": "County-level unemployment divergence complicates a single metro narrative.", "body": "Alexandria and Arlington holding near 3% unemployment while Fairfax County logged a tenth consecutive month above 20,000 jobless residents shows the federal impact is landing unevenly across jurisdictions. A single metro-wide unemployment figure may mask meaningful local variation relevant to jurisdiction-specific economic development planning."}, {"headline": "Advertised pay gains in nursing and skilled trades suggest selective tightness persists.", "body": "Registered nurse pay is up significantly and HVAC technician and electrician pay are up moderately even as overall metro employment contracts, indicating labor market tightness persists in pockets. This pattern is consistent with continued demand in healthcare and built-environment trades even as federally-linked sectors soften."}], "local_conditions": "Washington-Arlington-Alexandria recorded the largest year-over-year employment decline of any U.S. metro in BLS's latest metropolitan survey, down roughly 66,000 jobs (-2.0%), as federal workforce reductions exceeding 54,000 positions across the DMV ripple through the contractor base that depends on federal procurement. Unemployment has edged up in every DMV county since the start of the year even as national conditions held steady at 4.1%, with Northern Virginia hotel employment down more than 1% and DC-area hotel employment down over 2% year-over-year, pointing to federal spending contraction spreading into adjacent service sectors.", "implications": "Metro-wide payroll contraction concentrated in federally-exposed work, alongside signals of resilience in healthcare and skilled trades (registered nurse and HVAC technician advertised pay both up moderately-to-significantly), suggests a local economy diverging by sector. Commerce leaders evaluating expansion or investment timing should weigh exposure to federal contract cycles separately from consumer-facing and healthcare-adjacent segments, which show comparatively stable or rising advertised pay. Consider reviewing which segments of the local business base carry direct or indirect federal procurement exposure before benchmarking this metro's health against the stable national unemployment rate.", "looking_ahead": [{"category": "Expected", "body": "Federal agency budget and staffing decisions through year-end will likely continue shaping contractor headcount across Northern Virginia; watch whether GSA and DoD-adjacent firms file additional WARN notices in November and December."}, {"category": "Early indicator", "body": "Hotel and hospitality employment softness in both Virginia and DC segments is worth tracking monthly as a proxy for federal travel and conference spending recovery or further decline."}, {"category": "Worth watching", "body": "Maryland's BLS employer-survey volatility (8,800 jobs lost in September despite falling unemployment) raises the question of whether DMV-wide payroll data is understating or overstating the true scale of federal spillover; revisions in coming months may clarify the picture."}, {"category": "Potential inflection point", "body": "Labor force participation and county-level unemployment trends in Fairfax and Montgomery counties, both showing sustained elevation, will indicate whether federal contraction is stabilizing or still working through the regional economy."}], "roles": [{"role": "Retail Sales Associate", "data_scope": "metro", "metro_p25": 29869.0, "metro_p50": 35890.0, "metro_p75": 38563.0, "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": 29283.0, "metro_p50": 34278.0, "metro_p75": 36088.0, "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": 34276.0, "metro_p50": 39520.0, "metro_p75": 42640.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 38480.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "CDL Truck Driver", "data_scope": "metro", "metro_p25": 60640.0, "metro_p50": 83070.0, "metro_p75": 90000.0, "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": 32907.0, "metro_p50": 37901.0, "metro_p75": 42707.0, "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": 35834.0, "metro_p50": 41600.0, "metro_p75": 44720.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 40726.6, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Electrician", "data_scope": "metro", "metro_p25": 63397.0, "metro_p50": 78000.0, "metro_p75": 87048.0, "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": 33921.0, "metro_p50": 38483.0, "metro_p75": 45594.0, "metro_trend_direction": "down", "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": 35360.0, "metro_p50": 41600.0, "metro_p75": 45760.0, "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": 31921.25, "metro_p50": 36400.0, "metro_p75": 39000.0, "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": 37440.0, "metro_p50": 41600.0, "metro_p75": 44720.0, "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": 39520.0, "metro_p50": 50090.0, "metro_p75": 57812.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 44552.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "HVAC Technician", "data_scope": "metro", "metro_p25": 67083.0, "metro_p50": 80080.0, "metro_p75": 85199.0, "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": 89002.0, "metro_p50": 106999.0, "metro_p75": 114338.0, "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": 120000.0, "metro_p50": 147489.0, "metro_p75": 164527.0, "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": 109033.0, "metro_p50": 145000.0, "metro_p75": 159248.0, "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": 80342.0, "metro_p75": 91330.0, "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": 85000.0, "metro_p50": 105660.0, "metro_p75": 116489.5, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 94646.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "HR Generalist/Manager", "data_scope": "metro", "metro_p25": 62500.0, "metro_p50": 79943.0, "metro_p75": 90000.0, "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": 50612.0, "metro_p50": 71351.0, "metro_p75": 82733.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 62916.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Operations Manager", "data_scope": "metro", "metro_p25": 76000.0, "metro_p50": 98388.0, "metro_p75": 101693.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 86294.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Elementary/Secondary School Teacher", "data_scope": "metro", "metro_p25": 39520.0, "metro_p50": 60268.0, "metro_p75": 70073.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 55908.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Account Manager", "data_scope": "metro", "metro_p25": 68664.0, "metro_p50": 100000.0, "metro_p75": 121914.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 94009.4, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Warehouse Manager", "data_scope": "metro", "metro_p25": 50960.0, "metro_p50": 50960.0, "metro_p75": 50960.0, "metro_trend_direction": "down", "metro_trend_magnitude": "significant", "national_p50": 75000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Business Analyst", "data_scope": "metro", "metro_p25": 90929.0, "metro_p50": 112516.0, "metro_p75": 124097.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 98302.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}], "industry_snapshot": [{"sector": "Construction", "median_pay": 82500.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Manufacturing", "median_pay": 121874.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Retail Trade", "median_pay": 43403.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Transportation, Warehousing & Utilities", "median_pay": 50960.0, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Information", "median_pay": 134200.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Financial Activities", "median_pay": 115492.5, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "stable", "postings_trend_magnitude": "stable"}, {"sector": "Professional & Business Services", "median_pay": 119698.5, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Education & Health Services", "median_pay": 72261.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Leisure & Hospitality", "median_pay": 39550.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Government", "median_pay": 72113.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "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": "washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10.html", "pdf": "washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10.pdf", "sources_html": "washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10.sources.html"}, "published_at": "2026-11-03T08:32:08.707745+00:00", "report_html_url": "https://reports.wagescape.com/archive/v1/editions/washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10.html", "report_pdf_url": "https://reports.wagescape.com/archive/v1/editions/washington-arlington-alexandria-dc-va-md-wv-msa/metro-job-market/2026-10.pdf"}