{"schema_version": 1, "id": "ct-nonmetropolitan-area/metro-job-market/2026-09", "product": "Metro Job Market Pulse", "metro": {"geography_id": 109, "label": "CT NONMETROPOLITAN AREA", "slug": "ct-nonmetropolitan-area"}, "focus_area": {"key": "general_conditions", "slug": "metro-job-market", "label": "General Market Conditions"}, "period": "2026-09", "public_after": "2026-09-01", "frozen_at": "2026-10-09T13:38:02.958909+00:00", "headline": "Non-metro Connecticut stays tight as the state's labor market cools.", "headline_summary": "Putnam's unemployment rate held at 3.8% in August even as Connecticut's statewide rate climbed to 5.1%, the largest year-over-year jobless increase of any state, while non-metro weekly wages remain hundreds of dollars below the national average.", "key_indicators": [{"label": "Putnam-Northeastern CT unemployment", "value": "3.8%", "context": "vs 5.1% statewide, 4.1% national (Aug. 2026)"}, {"label": "Connecticut unemployment rate", "value": "5.1%", "context": "Up from 4.1% a year ago \u2014 largest U.S. increase"}, {"label": "Northeastern CT avg. weekly wage", "value": "$1,181", "context": "Well below national average; Northwest Hills at $1,274"}, {"label": "Torrington-Northwest Hills employment", "value": "38,200", "context": "Down 100 jobs year-over-year"}], "takeaways": [{"headline": "Non-metro Connecticut is tight, not cooling, unlike the state overall.", "body": "Putnam's 3.8% unemployment rate sits well below the statewide 5.1% and the national 4.1%, even as Connecticut posts the largest year-over-year unemployment increase of any state. Local economic development conversations should separate the state's softening headline from the considerably tighter conditions in the northeastern corner."}, {"headline": "Wage levels still trail the nation by a wide margin.", "body": "Northeastern Connecticut's average weekly wage of $1,181 and Northwest Hills' $1,274 remain well under the national average, even as Southeastern Connecticut posted 5.7% year-over-year wage growth. The gap signals these non-metro economies remain anchored in lower-wage sectors, a structural feature for site-selection and regional marketing conversations, not a cyclical blip."}, {"headline": "Torrington's job losses are small but worth tracking.", "body": "Employment fell by 100 over the year to 38,200, a modest decline but one that runs counter to the record private-sector payroll highs reported statewide. A sustained micropolitan drift downward would be an early signal of commercial contraction in the Northwest Hills corridor."}, {"headline": "Statewide labor-force exit is the real policy story for these regions.", "body": "Connecticut's labor force shrank 54,400 people year-over-year even as private payrolls hit a record, a gap state economists attribute to aging demographics and outbound migration of younger workers. Non-metro counties, already smaller and older on average, are likely absorbing a disproportionate share of this participation decline."}], "local_conditions": "Rural and micropolitan Connecticut labor markets diverge sharply from the state's metro core \u2014 Putnam-Northeastern Connecticut held unemployment at 3.8% in August while Torrington-Northwest Hills shed 100 jobs year-over-year, even as statewide unemployment climbed to 5.1%, a full point above a year ago. Wage levels in these non-metro planning regions remain structurally below the national average (Northwest Hills at $1,274 weekly, Northeastern Connecticut at $1,181), reflecting an economy weighted toward retail, healthcare, and smaller-scale manufacturing rather than the finance and technology activity concentrated in Hartford or Stamford-Bridgeport.", "implications": "Tight micropolitan unemployment alongside flat-to-declining local payrolls suggests these rural pockets are supply-constrained rather than demand-constrained \u2014 a dynamic that limits how quickly local employers can scale operations even when commercial demand exists. Commerce leaders weighing local expansion or relocation incentives should treat labor-force availability, not just wage cost, as the binding constraint in these counties; current conditions suggest reviewing regional labor-force participation trends alongside commuting patterns before assuming a nearby metro's workforce will backfill non-metro openings.", "looking_ahead": [{"category": "Worth watching", "body": "Whether Putnam's sub-4% unemployment rate holds or begins drifting toward the statewide 5.1% over the next two reporting cycles will indicate if non-metro tightness is durable or a lagging artifact of a smaller sample."}, {"category": "Early indicator", "body": "Torrington's modest employment decline bears watching against Connecticut's broader labor-force shrinkage; a second consecutive year-over-year loss would suggest the Northwest Hills region is beginning to track the state's contraction rather than diverge from it."}, {"category": "Policy-relevant signal", "body": "Statewide job-search duration has lengthened amid tariff and immigration-policy uncertainty, per Connecticut Department of Labor commentary; non-metro economies with thinner labor pools may feel hiring friction first if that trend deepens."}, {"category": "Potential inflection point", "body": "Southeastern Connecticut's 5.7% wage growth, the fastest of any planning region, is worth monitoring for spillover into adjacent non-metro labor markets competing for the same commuting workforce."}], "roles": [{"role": "Retail Sales Associate", "data_scope": "metro", "metro_p25": 30407.0, "metro_p50": 35526.0, "metro_p75": 37877.0, "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": 29417.0, "metro_p50": 35658.4, "metro_p75": 39458.0, "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": 35790.0, "metro_p50": 46800.0, "metro_p75": 50388.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 38000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "CDL Truck Driver", "data_scope": "metro", "metro_p25": 58076.0, "metro_p50": 83200.0, "metro_p75": 90000.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 78000.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Delivery Driver", "data_scope": "metro", "metro_p25": 32629.0, "metro_p50": 34549.0, "metro_p75": 35988.0, "metro_trend_direction": "down", "metro_trend_magnitude": "moderate", "national_p50": 34344.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Construction Laborer", "data_scope": "metro", "metro_p25": 36724.0, "metro_p50": 43740.0, "metro_p75": 55120.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 40560.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Electrician", "data_scope": "metro", "metro_p25": 60175.75, "metro_p50": 75468.0, "metro_p75": 80724.5, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 71404.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Manufacturing Production Worker/Assembler", "data_scope": "metro", "metro_p25": 35531.0, "metro_p50": 42244.8, "metro_p75": 44720.0, "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": 37440.0, "metro_p50": 41164.0, "metro_p75": 47840.0, "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": 32896.0, "metro_p50": 35880.0, "metro_p75": 37901.5, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 33756.2, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Certified Nursing Assistant / Home Health Aide", "data_scope": "metro", "metro_p25": 38325.0, "metro_p50": 44903.0, "metro_p75": 47840.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 41106.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Administrative Assistant/Office Clerk", "data_scope": "metro", "metro_p25": 36471.0, "metro_p50": 42625.0, "metro_p75": 46800.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 43680.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "HVAC Technician", "data_scope": "metro", "metro_p25": 66494.0, "metro_p50": 84640.0, "metro_p75": 88400.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 70720.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Registered Nurse", "data_scope": "metro", "metro_p25": 92565.0, "metro_p50": 109059.0, "metro_p75": 118458.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 102581.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Software Engineer", "data_scope": "metro", "metro_p25": 92050.0, "metro_p50": 147500.0, "metro_p75": 164812.5, "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": 99151.0, "metro_p50": 150243.8, "metro_p75": 159248.0, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 139500.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Accountant", "data_scope": "metro", "metro_p25": 58822.0, "metro_p50": 71601.8, "metro_p75": 77612.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 72182.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}, {"role": "Financial Analyst", "data_scope": "metro", "metro_p25": 74160.75, "metro_p50": 97500.0, "metro_p75": 104000.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 94782.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "HR Generalist/Manager", "data_scope": "metro", "metro_p25": 57500.0, "metro_p50": 83180.0, "metro_p75": 84505.25, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 75000.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Marketing Specialist", "data_scope": "metro", "metro_p25": 50399.0, "metro_p50": 62842.4, "metro_p75": 69750.5, "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": "state_rollup", "metro_p25": 78593.0, "metro_p50": 90070.0, "metro_p75": 104895.75, "metro_trend_direction": "up", "metro_trend_magnitude": "significant", "national_p50": 85216.0, "national_trend_direction": "stable", "national_trend_magnitude": "stable"}, {"role": "Elementary/Secondary School Teacher", "data_scope": "metro", "metro_p25": 37440.0, "metro_p50": 58441.8, "metro_p75": 67347.0, "metro_trend_direction": "up", "metro_trend_magnitude": "moderate", "national_p50": 56731.0, "national_trend_direction": "up", "national_trend_magnitude": "significant"}, {"role": "Account Manager", "data_scope": "metro", "metro_p25": 55969.0, "metro_p50": 87768.4, "metro_p75": 107190.25, "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": 50960.0, "metro_p50": 74301.2, "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": 79702.25, "metro_p50": 97844.8, "metro_p75": 111180.0, "metro_trend_direction": "stable", "metro_trend_magnitude": "stable", "national_p50": 98279.0, "national_trend_direction": "up", "national_trend_magnitude": "moderate"}], "industry_snapshot": [{"sector": "Construction", "median_pay": 57200.0, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Manufacturing", "median_pay": 77916.5, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Retail Trade", "median_pay": 38198.0, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Transportation, Warehousing & Utilities", "median_pay": 53341.5, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Information", "median_pay": 110029.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Financial Activities", "median_pay": 106007.0, "pay_trend_direction": "up", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Professional & Business Services", "median_pay": 66179.0, "pay_trend_direction": "down", "pay_trend_magnitude": "moderate", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Education & Health Services", "median_pay": 51355.0, "pay_trend_direction": "down", "pay_trend_magnitude": "moderate", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Leisure & Hospitality", "median_pay": 35235.0, "pay_trend_direction": "down", "pay_trend_magnitude": "significant", "postings_trend_direction": "down", "postings_trend_magnitude": "significant"}, {"sector": "Government", "median_pay": 71490.0, "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": "ct-nonmetropolitan-area/metro-job-market/2026-09.html", "pdf": "ct-nonmetropolitan-area/metro-job-market/2026-09.pdf", "sources_html": "ct-nonmetropolitan-area/metro-job-market/2026-09.sources.html"}, "published_at": "2026-10-09T13:49:49.895112+00:00", "report_html_url": "https://reports.wagescape.com/archive/v1/editions/ct-nonmetropolitan-area/metro-job-market/2026-09.html", "report_pdf_url": "https://reports.wagescape.com/archive/v1/editions/ct-nonmetropolitan-area/metro-job-market/2026-09.pdf"}