{"schema_version": 1, "id": "pittsburgh-pa-msa/metro-job-market/2026-10", "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": "2026-10", "public_after": "2026-10-01", "frozen_at": "2026-11-03T07:57:58.708340+00:00", "headline": "Pittsburgh's falling jobless rate hides a shrinking labor force.", "headline_summary": "Pittsburgh's unemployment rate fell to 3.6% even as the metro lost 1,600 jobs in September and its labor force remains roughly 40,000 below pre-pandemic size.", "key_indicators": [{"label": "Metro unemployment rate", "value": "3.6%", "context": "Third straight monthly decline, August 2026"}, {"label": "Metro job change", "value": "-1,600 jobs", "context": "Aug\u2013Sept 2026, largest loss among PA metros"}, {"label": "Labor force gap vs. pre-pandemic", "value": "~40,000 workers", "context": "Structural constraint on regional capacity"}, {"label": "PA statewide unemployment", "value": "3.6%\u20134.0%", "context": "29th straight month below U.S. rate of 4.1%\u20134.2%"}], "takeaways": [{"headline": "Falling unemployment is masking a shrinking workforce.", "body": "Pittsburgh's unemployment rate fell for a third straight month to 3.6% even as the region lost jobs and payrolls sit below year-ago levels. A labor force roughly 40,000 smaller than before the pandemic means a low jobless rate reflects fewer people looking for work as much as it reflects economic strength."}, {"headline": "Healthcare and education are carrying the region's job growth almost alone.", "body": "Education and health services added 5,400 jobs year-over-year while construction lost 3,500 and government declined by 2,700. A regional economy this dependent on one sector pair for growth is more exposed to a slowdown in hospital or university hiring than headline numbers suggest."}, {"headline": "Pittsburgh is the outlier among Pennsylvania's metros.", "body": "Pittsburgh posted the state's largest metro job loss in September (-1,600) while Philadelphia gained 200, even as Pennsylvania's statewide unemployment hit a record low of 3.6%-4.0%. Statewide strength is not evenly distributed, and Pittsburgh's trajectory currently runs counter to the commonwealth's."}, {"headline": "Return-to-office mandates are reshaping Downtown commerce more than payroll totals.", "body": "PNC's five-day office mandate since May appears linked to a revival in Downtown lunch and retail activity, a shift unrelated to net job creation. Commerce leaders tracking Downtown vitality may find large-employer workplace policy a more immediate indicator than aggregate payroll counts."}], "local_conditions": "Pittsburgh's metro unemployment rate held at 3.6% in August for a third straight monthly decline, even as the region lost 1,600 jobs between August and September and local payrolls sat 600 below year-ago levels, pointing to a labor market where falling unemployment reflects a shrinking labor pool as much as demand strength. Education and health services added 5,400 jobs over the year while construction fell by 3,500 and government shed 2,700, a divergence consistent with a regional economy anchored by healthcare and higher education even as construction and public-sector activity soften.", "implications": "Pittsburgh's job losses alongside falling unemployment signal a capacity constraint \u2014 the labor force remains roughly 40,000 below pre-pandemic size, meaning expansion plans may run into availability limits even when local hiring activity looks orderly on paper. PNC's five-day return-to-office mandate, effective since May, appears to be reviving Downtown foot traffic for lunch and retail businesses, an early sign that large-employer workplace policies can move neighborhood-level commerce independent of broader job counts. Commerce leaders and economic development officials should consider monitoring Downtown retail and foot-traffic data as a leading indicator of how return-to-office decisions at major employers ripple into the local business climate.", "looking_ahead": [{"category": "Structural constraint", "body": "Pittsburgh's labor force remains about 40,000 below pre-pandemic levels, a gap tied to aging demographics and continued outmigration. Watch whether labor force participation shows any sign of stabilizing in upcoming state releases, since continued shrinkage limits how much local economic expansion the region can absorb regardless of demand."}, {"category": "Early indicator", "body": "Downtown Pittsburgh retail and lunch-hour activity tied to PNC's return-to-office policy offers a real-time gauge of whether large-employer office mandates are translating into sustained foot traffic, or a temporary bump. Commerce and downtown development groups should track whether other major regional employers follow with similar policies."}, {"category": "Potential inflection point", "body": "Construction employment fell 3,500 over the year and government fell 2,700, both notable given infrastructure and public investment activity regionally. A continued decline in either sector over the next two months would mark a shift worth flagging to regional planning and workforce development bodies."}, {"category": "Worth watching", "body": "Pennsylvania recorded 17 WARN notices affecting 1,899 workers in the past 90 days statewide, with manufacturing, healthcare and transportation/logistics most affected. Whether Pittsburgh-area filings accelerate alongside the Comcast Technology Center's 634-worker reduction effective December 31 will shape the region's layoff trend heading into early 2027."}], "roles": [{"role": "Retail Sales Associate", "data_scope": "metro", "metro_p25": 23343.0, "metro_p50": 30984.8, "metro_p75": 35100.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 33340.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Retail Cashier", "data_scope": "metro", "metro_p25": 24960.0, "metro_p50": 29606.0, "metro_p75": 31200.0, "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": 33309.5, "metro_p50": 39520.0, "metro_p75": 41600.0, "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": 57000.0, "metro_p50": 82187.0, "metro_p75": 90000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 78872.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Delivery Driver", "data_scope": "metro", "metro_p25": 31162.0, "metro_p50": 35145.8, "metro_p75": 40560.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 34826.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Construction Laborer", "data_scope": "metro", "metro_p25": 33800.0, "metro_p50": 41600.0, "metro_p75": 44720.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 40726.6, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Electrician", "data_scope": "metro", "metro_p25": 57200.0, "metro_p50": 66560.0, "metro_p75": 72126.0, "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": 33280.0, "metro_p50": 38480.0, "metro_p75": 41600.0, "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": 33280.0, "metro_p50": 38969.0, "metro_p75": 43430.0, "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": 28359.0, "metro_p50": 30825.0, "metro_p75": 33145.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 33764.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Certified Nursing Assistant / Home Health Aide", "data_scope": "metro", "metro_p25": 35201.0, "metro_p50": 43680.0, "metro_p75": 47840.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 41600.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Administrative Assistant/Office Clerk", "data_scope": "metro", "metro_p25": 34697.0, "metro_p50": 42776.6, "metro_p75": 47413.0, "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": 57200.0, "metro_p50": 70720.0, "metro_p75": 78000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 71406.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Registered Nurse", "data_scope": "metro", "metro_p25": 81515.0, "metro_p50": 93080.0, "metro_p75": 103309.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 102252.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Software Engineer", "data_scope": "metro", "metro_p25": 100615.0, "metro_p50": 131495.0, "metro_p75": 150000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 154403.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Data Engineer", "data_scope": "metro", "metro_p25": 97936.0, "metro_p50": 121195.0, "metro_p75": 132368.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 138000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Accountant", "data_scope": "metro", "metro_p25": 56490.0, "metro_p50": 65993.8, "metro_p75": 76081.5, "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": 71775.5, "metro_p50": 89419.0, "metro_p75": 96381.5, "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": 54914.75, "metro_p50": 65876.0, "metro_p75": 75580.25, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 74477.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Marketing Specialist", "data_scope": "metro", "metro_p25": 54936.5, "metro_p50": 63770.0, "metro_p75": 73407.0, "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": 70000.0, "metro_p50": 70081.6, "metro_p75": 71289.25, "metro_trend_direction": "down", "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": 32087.5, "metro_p50": 41633.0, "metro_p75": 50354.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 55908.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Account Manager", "data_scope": "metro", "metro_p25": 61502.0, "metro_p50": 90000.0, "metro_p75": 114414.5, "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": "state_rollup", "metro_p25": 52917.0, "metro_p50": 72500.0, "metro_p75": 80000.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 75000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Business Analyst", "data_scope": "metro", "metro_p25": 75000.0, "metro_p50": 92045.0, "metro_p75": 103798.0, "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": 62400.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Manufacturing", "median_pay": 75642.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Retail Trade", "median_pay": 35218.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Transportation, Warehousing & Utilities", "median_pay": 38729.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "significant"}, {"sector": "Information", "median_pay": 97080.5, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Financial Activities", "median_pay": 87987.0, "pay_trend_direction": "up", "pay_trend_magnitude": "moderate", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Professional & Business Services", "median_pay": 68699.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Education & Health Services", "median_pay": 50960.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "up", "postings_trend_magnitude": "moderate"}, {"sector": "Leisure & Hospitality", "median_pay": 32927.0, "pay_trend_direction": "stable", "pay_trend_magnitude": "stable", "postings_trend_direction": "down", "postings_trend_magnitude": "moderate"}, {"sector": "Government", "median_pay": 67456.0, "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": "pittsburgh-pa-msa/metro-job-market/2026-10.html", "pdf": "pittsburgh-pa-msa/metro-job-market/2026-10.pdf", "sources_html": "pittsburgh-pa-msa/metro-job-market/2026-10.sources.html"}, "published_at": "2026-11-03T08:28:19.968760+00:00", "report_html_url": "https://reports.wagescape.com/archive/v1/editions/pittsburgh-pa-msa/metro-job-market/2026-10.html", "report_pdf_url": "https://reports.wagescape.com/archive/v1/editions/pittsburgh-pa-msa/metro-job-market/2026-10.pdf"}