{"schema_version": 1, "id": "pittsburgh-pa-msa/metro-job-market/2026-09", "product": "Metro Job Market Pulse", "metro": {"geography_id": 424, "label": "Pittsburgh, PA MSA", "slug": "pittsburgh-pa-msa"}, "focus_area": {"key": "general_conditions", "slug": "metro-job-market", "label": "General Market Conditions"}, "period": "2026-09", "public_after": "2026-09-01", "frozen_at": "2026-10-09T13:41:54.565930+00:00", "headline": "Pittsburgh's low jobless rate hides a shrinking labor force.", "headline_summary": "Pittsburgh's unemployment rate near 3.8-4.1% looks healthy on its face, but a labor force still roughly 40,000 smaller than pre-pandemic levels and a July loss of 2,300 jobs suggest the number reflects scarcity, not strength.", "key_indicators": [{"label": "Metro unemployment rate", "value": "3.8%-4.1%", "context": "Drifted up from 3.7% low in July 2026"}, {"label": "Labor force shortfall", "value": "~40,000", "context": "Workers below pre-pandemic metro labor force"}, {"label": "Long-run private job growth", "value": "3.5%", "context": "Since 2000, vs 22.1% nationally"}, {"label": "PA statewide wage growth", "value": "3.3%", "context": "YoY through Q1 2026, vs 3.4% national inflation"}], "takeaways": [{"headline": "A 3.8% jobless rate is flattering a thinner labor force.", "body": "Pittsburgh's labor force remains about 40,000 smaller than pre-pandemic levels, meaning a low unemployment rate partly reflects fewer people searching rather than abundant job creation. Local economic health assessments should weight participation trends as heavily as the headline rate."}, {"headline": "Healthcare and education are carrying state job growth almost alone.", "body": "Pennsylvania added 36,000 jobs in health and education plus leisure/hospitality since August 2025, while government, construction, trade/transportation, and information combined lost 13,900. That concentration suggests uneven resilience across the basket, not broad-based momentum."}, {"headline": "Construction and warehouse pay gains buck the metro's slow-growth pattern.", "body": "Construction laborer pay rose significantly locally and warehouse/fulfillment pay rose moderately, both outpacing their national counterparts' stable trend. That divergence may signal localized demand in logistics and building trades even as broader private-sector job counts stagnate."}, {"headline": "Long-run data undercuts any narrative of a fast-growing Pittsburgh economy.", "body": "Private job counts rose just 3.5% from 2000 to 2026 versus 22.1% nationally, and actually fell 1.6% from 2019 to 2026. Commerce leaders pitching the metro to outside investment should pair any near-term uptick with honest framing of this longer trajectory."}], "local_conditions": "Pittsburgh's unemployment rate has crept up toward 3.8-4.1% even as the region's labor force remains roughly 40,000 people smaller than before the pandemic, a gap that masks the low headline rate behind genuinely thin labor supply rather than robust demand. Job growth is modestly positive in 2026 \u2014 averaging 617 jobs added monthly versus 350 in 2025 \u2014 but the metro lost 2,300 jobs in July alone, and private-sector employment has grown just 3.5% since 2000 against 22.1% nationally, underscoring a structurally slow-growth economy even in expansion months.", "implications": "Civic and commerce leaders should read Pittsburgh's low unemployment rate alongside its shrunken labor force as two sides of the same story: fewer available workers, not necessarily a hot economy, and that distinction matters for assessing whether local business expansion is supply-constrained rather than demand-constrained. Healthcare and education continue to anchor job growth statewide while government, construction, and information lost jobs since August 2025, a divergence that should inform how economic development corporations pitch sector-specific investment readiness. Consider evaluating workforce participation trends alongside unemployment data when briefing stakeholders on regional competitiveness, since headline rates alone currently overstate labor market tightness.", "looking_ahead": [{"category": "Worth watching", "body": "Whether the region's July-to-September unemployment drift (3.7% to roughly 4.1%) continues or stabilizes will clarify if labor force shrinkage or renewed job losses is the dominant driver heading into Q4."}, {"category": "Early indicator", "body": "National wage growth has slipped to 3.0% against 3.4% inflation, the weakest pace since 2021. Watch whether Pennsylvania's 3.3% statewide weekly wage growth holds or follows the national pattern into negative real-wage territory."}, {"category": "Potential inflection point", "body": "Pennsylvania's minimum wage bill (H.B. 2189) remains stalled in the Senate after House passage; any movement would be a concrete policy signal for low-wage sectors like retail and food service, both already showing flat-to-declining advertised pay locally."}, {"category": "Emerging pressure point", "body": "Statewide WARN filings (17 notices, 1,899 workers in 90 days) remain modest but worth tracking against national layoff trends at large employers like Amazon and FedEx, since any Pittsburgh-specific filing would signal whether the metro is insulated from national cut activity."}], "roles": [{"role": "Retail Sales Associate", "data_scope": "metro", "metro_p25": 24231.0, "metro_p50": 31434.0, "metro_p75": 35890.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 33325.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Retail Cashier", "data_scope": "metro", "metro_p25": 24960.0, "metro_p50": 29367.0, "metro_p75": 31200.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 31200.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Warehouse/Fulfillment Associate", "data_scope": "metro", "metro_p25": 32713.0, "metro_p50": 39512.0, "metro_p75": 41600.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 38000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "CDL Truck Driver", "data_scope": "metro", "metro_p25": 58054.0, "metro_p50": 83590.0, "metro_p75": 90000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 78000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Delivery Driver", "data_scope": "metro", "metro_p25": 31043.0, "metro_p50": 35000.0, "metro_p75": 38759.5, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 34344.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Construction Laborer", "data_scope": "metro", "metro_p25": 33438.0, "metro_p50": 41600.0, "metro_p75": 44720.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 40560.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Electrician", "data_scope": "metro", "metro_p25": 57431.0, "metro_p50": 66560.0, "metro_p75": 70720.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 71404.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Manufacturing Production Worker/Assembler", "data_scope": "metro", "metro_p25": 33280.0, "metro_p50": 37776.0, "metro_p75": 41592.25, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 39520.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Customer Service Representative", "data_scope": "metro", "metro_p25": 33309.0, "metro_p50": 38977.0, "metro_p75": 42679.0, "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": 28361.0, "metro_p50": 30367.0, "metro_p75": 32690.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 33756.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Certified Nursing Assistant / Home Health Aide", "data_scope": "metro", "metro_p25": 34462.75, "metro_p50": 42640.0, "metro_p75": 47728.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 41106.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Administrative Assistant/Office Clerk", "data_scope": "metro", "metro_p25": 34320.0, "metro_p50": 42393.0, "metro_p75": 46800.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 43680.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "HVAC Technician", "data_scope": "metro", "metro_p25": 57222.0, "metro_p50": 70720.0, "metro_p75": 78000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 70720.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Registered Nurse", "data_scope": "metro", "metro_p25": 81502.0, "metro_p50": 93080.0, "metro_p75": 104000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 102581.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Software Engineer", "data_scope": "metro", "metro_p25": 99882.0, "metro_p50": 129723.0, "metro_p75": 148500.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 153652.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Data Engineer", "data_scope": "metro", "metro_p25": 96990.0, "metro_p50": 121256.8, "metro_p75": 132368.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 139500.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Accountant", "data_scope": "metro", "metro_p25": 56774.75, "metro_p50": 65501.0, "metro_p75": 75000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 72182.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Financial Analyst", "data_scope": "metro", "metro_p25": 71646.0, "metro_p50": 89594.2, "metro_p75": 95857.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 94782.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "HR Generalist/Manager", "data_scope": "metro", "metro_p25": 56021.0, "metro_p50": 65505.0, "metro_p75": 75000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 75000.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Marketing Specialist", "data_scope": "metro", "metro_p25": 54873.0, "metro_p50": 63770.0, "metro_p75": 72518.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 62354.4, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Operations Manager", "data_scope": "metro", "metro_p25": 70000.0, "metro_p50": 70204.0, "metro_p75": 72100.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 85216.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Elementary/Secondary School Teacher", "data_scope": "metro", "metro_p25": 31758.0, "metro_p50": 42640.0, "metro_p75": 50988.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 56731.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Account Manager", "data_scope": "metro", "metro_p25": 60000.0, "metro_p50": 86492.0, "metro_p75": 110769.5, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 92749.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Warehouse Manager", "data_scope": "state_rollup", "metro_p25": 52917.0, "metro_p50": 74000.0, "metro_p75": 81500.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 75000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Business Analyst", "data_scope": "metro", "metro_p25": 75367.0, "metro_p50": 92071.0, "metro_p75": 101148.5, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 98279.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}], "industry_snapshot": [{"sector": "Construction", "median_pay": 62195.5, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Manufacturing", "median_pay": 77386.5, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Retail Trade", "median_pay": 35213.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Transportation, Warehousing & Utilities", "median_pay": 38211.0, "pay_trend_direction": "down", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Information", "median_pay": 97500.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Financial Activities", "median_pay": 86080.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Professional & Business Services", "median_pay": 69539.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Education & Health Services", "median_pay": 49920.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Leisure & Hospitality", "median_pay": 32603.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Government", "median_pay": 67970.0, "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": "October 2026", "files": {"html": "pittsburgh-pa-msa/metro-job-market/2026-09.html", "pdf": "pittsburgh-pa-msa/metro-job-market/2026-09.pdf", "sources_html": "pittsburgh-pa-msa/metro-job-market/2026-09.sources.html"}, "published_at": "2026-10-09T14:34:52.443422+00:00", "report_html_url": "https://reports.wagescape.com/archive/v1/editions/pittsburgh-pa-msa/metro-job-market/2026-09.html", "report_pdf_url": "https://reports.wagescape.com/archive/v1/editions/pittsburgh-pa-msa/metro-job-market/2026-09.pdf"}