Property Makler
Advanced analytics for residential real estate investing

Pittsburgh, PA housing market

Housing market indicators

Indicator	2022	2023	2024	2025*	2022	2023	2024	YTD
Median Listing Price per Square Feet	$142	$156	$159	$170	0%	9.9%	1.9%	6.9%
Active Listing Count	4,391	4,348	5,019	5,842	20.4%	-1%	15.4%	16.4%
Median Days on Market	72	66	71	53	10.8%	-8.3%	7.6%	-25.4%
Share of listings with price increase	0.5%	0.4%	0.3%	0.3%
Share of listings with price decrease	13.9%	15.2%	16.2%	17%
Employees, thousands	1,184	1,202	1,212	1,219	1.6%	1.5%	0.8%	0.5%
Permits	251	357	523	404	4.1%	42.2%	46.5%	-22.8%

* last available value

Home prices

Short term housing supply drivers

Long term housing demand drivers

Long term housing supply drivers

Note: 12M MA - 12 months moving average, Permits - New Private Housing Structures Authorized by Building Permits. Source: FRED

Housing market overview

Pittsburgh, PA MSA – Geographic Overview

Pittsburgh MSA counties (PA only): Allegheny, Armstrong, Beaver, Butler, Fayette, Washington, Westmoreland.
2024 MSA population ≈ 2.43M; urban ≈ 1.98M, rural ≈ 0.47M.
Key sub‑regions:
– Urban core: City of Pittsburgh and inner-ring suburbs in Allegheny County.
– North: Butler County suburbs (Cranberry, Adams, Seven Fields, Middlesex) and northern Allegheny (McCandless, Pine, Hampton, Franklin Park).
– South: South Hills (Mt. Lebanon, Upper St. Clair, Bethel Park, Peters Township, South Fayette).
– West / Airport corridor: Robinson, Moon, Findlay.
– East: Monroeville, Murrysville, Penn-Trafford, Greensburg corridor (Westmoreland).
– Legacy industrial river valleys: Monongahela, Allegheny, Ohio river towns (McKeesport, Clairton, Braddock, Aliquippa, New Kensington, etc.).

Area	City/town	Population (approx.)	Density (people/sq.mi.)	Income level	Quality of schools (GreatSchools range)	Crime level	Property tax (typical effective rate, % of value)	Personal income tax (local, on top of state)	Comments
Urban core	City of Pittsburgh	≈310,000	≈5,500 citywide; 15,000–21,000 in densest neighborhoods	Mixed; median HH income mid‑$60k; wide spread by neighborhood	Highly variable: 1–3 in some East End/River Valley schools, 6–9 in certain magnets and select neighborhood schools	Higher than suburbs; violent crime concentrated in specific neighborhoods, downtown property crime moderate	≈2.0–2.3%	Most residents pay 1% earned income tax; city rate swaps with school district so net ≈1% local for residents	Strong eds‑meds and tech job base; older housing; sharp block‑to‑block differences in safety and school quality
Inner North – Allegheny	McCandless, Ross, Shaler	20,000–30,000 each	2,000–3,000	Moderate‑upper; many HH in $80k–$130k	Many schools 6–9	Low‑moderate	≈1.8–2.2%	Typical local earned income tax ≈1%	Established post‑war suburbs; limited new construction, stable resale market
Outer North – Allegheny	Pine, Hampton, Franklin Park, Marshall	6,000–15,000 each	1,000–2,000	Upper; many HH $120k+	High; many schools 8–10	Low	≈1.6–2.0%	Typical local earned income tax ≈1%	One of the top K‑12 and appreciation corridors; strong demand, limited supply, high entry prices
North – Butler County	Cranberry Township, Adams Township, Seven Fields	Cranberry ≈35,000; others smaller	1,000–2,500	Upper; many HH $120k–$180k	High; Seneca Valley and Mars area often 7–10	Low	≈1.3–1.7% (lower than Allegheny)	Typical local earned income tax ≈1%	Fast‑growing greenfield suburban market; heavy new single‑family and townhome construction near I‑79/PA‑228
South Hills – Inner	Mt. Lebanon, Dormont, Castle Shannon	6,000–34,000	3,000–11,000	Moderate‑upper (Mt. Lebanon upper‑middle; Dormont more moderate)	Mt. Lebanon often 8–10; others 5–8	Low‑moderate; Dormont somewhat higher but still below city	≈2.0–2.4%	Typical local earned income tax ≈1%	Streetcar‑suburb fabric, walkable business districts, fixed housing stock, strong resale demand
South Hills – Outer	Upper St. Clair, Bethel Park, Peters, South Fayette	20,000–33,000	1,500–3,000	Upper; HH income often $130k+	High; many schools 8–10	Low	≈1.7–2.1%	Typical local earned income tax ≈1%	High‑end suburban product; limited remaining land in some townships but steady infill and subdivision activity
Airport / West Corridor	Robinson, Moon, Findlay, North Fayette	8,000–26,000	800–2,000	Moderate‑upper	Many schools 6–9	Low‑moderate	≈1.7–2.0%	Typical local earned income tax ≈1%	Proximity to airport, logistics, and business parks; diverse newer housing stock, strong rental demand
East Suburbs – Allegheny	Monroeville, Plum, Penn Hills	20,000–28,000	1,500–2,500	Low‑moderate to moderate	Wide range: some districts 3–6, some 6–8	Moderate; higher near older commercial strips and distressed pockets	≈2.0–2.4%	Typical local earned income tax ≈1%	Older housing stock, more affordable entry prices, mixed retail corridors, selective appreciation
East Suburbs – Westmoreland	Murrysville, North Huntingdon, Greensburg	15,000–30,000	800–2,000	Moderate‑upper (Murrysville higher)	Many schools 7–9	Low‑moderate	≈1.5–1.9%	Typical local earned income tax ≈1%	Bedroom communities with reasonable commutes to Pittsburgh; some greenfield subdivisions remain
River Valley – Monongahela	McKeesport, Clairton, Duquesne	5,000–17,000	3,000–5,000	Low; household incomes well below metro median	Often 1–4	High relative to metro; concentrated violent crime and blight	≈2.3–3.0%	Typical local earned income tax ≈1%	Deep legacy of steel job loss, depopulation, very low home values; selective redevelopment around riverfronts
River Valley – Ohio / Beaver	Aliquippa, Beaver Falls, Ambridge	6,000–15,000	3,000–5,000	Low‑moderate	Schools often 2–6	Moderate‑high	≈1.7–2.1%	Typical local earned income tax ≈1%	Mix of distressed housing and emerging industrial/energy-related investments; cap‑rate driven investor interest
Outer Counties – Rural / Small town	Fayette, Armstrong, Lawrence (various boroughs)	Most towns <10,000	<1,000 overall	Low; limited job base	Often 2–6	Low‑moderate; issues more about poverty, not big‑city crime	≈1.4–1.9%	Typical local earned income tax ≈1%	Very inexpensive housing, stagnant or declining population; yield‑oriented, higher‑risk plays

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Citizens: Income and Education

Metro median household income: mid‑ to high‑$60k; below major coastal metros but above many Appalachian peers.
City of Pittsburgh per‑capita income ≈ low‑$50k; median household ≈ mid‑$60k; poverty near 19–20% with strong neighborhood variation.
Suburban north and south corridors (Butler, northern/southern Allegheny, Peters, Murrysville) skew upper‑middle income; multiple tracts with $120k+ median.
River valley and outer rural counties have significantly lower incomes and higher poverty; many tracts under $45k median household income.
Education attainment metro‑wide:
– High school graduate or higher: ≈90%+ of adults.
– Bachelor’s degree or higher: ≈34–38% metro; city core and some suburbs (e.g., Mt. Lebanon, Fox Chapel, Pine, Upper St. Clair) exceed 50%+.
– Many high‑skill workers in engineering, computer science, healthcare, and university research; balanced by large non‑degree workforce in healthcare support, logistics, manufacturing, and trades.

Key Economic Sectors

Eds and Meds:
– Major universities: University of Pittsburgh, Carnegie Mellon, Duquesne, Robert Morris drive research, student housing demand, and spin‑off firms.
– Large hospital systems: UPMC, Allegheny Health Network are top regional employers, anchoring jobs in Oakland, Shadyside, North Side, and suburbs.
Technology and Innovation:
– AI, robotics, autonomous vehicles, software, fintech.
– Corporate and R&D presence: Google, Meta, Uber’s Advanced Technologies heritage, Aurora, Argo legacy, multiple robotics start‑ups.
– Research hubs around CMU and Hazelwood Green influencing nearby rental and owner‑occupier demand.
Financial and Business Services:
– PNC Financial headquarters; BNY Mellon, Federated Hermes, insurance and back‑office operations.
– Professional services (law, accounting, consulting) concentrated downtown and in suburban office parks.
Advanced Manufacturing and Materials:
– Transition from legacy steel to specialty metals, additive manufacturing, medical devices, and energy equipment.
– Facilities in Beaver, Westmoreland, Washington, Butler corridors.
Energy and Petrochemicals:
– Marcellus and Utica shale gas extraction in outer counties.
– Shell petrochemical complex in Beaver County a key employer and construction driver.
Logistics and Transport:
– Airport corridor (Moon, Findlay, North Fayette, Robinson) and I‑79/I‑76/I‑70/I‑376 interchanges support warehousing, logistics, and light industrial.
Government, Nonprofits, Culture, Education:
– Strong non‑profit and foundation sector, arts and culture, and K‑12 public and private schools create stable employment base.

Housing Buying Market – Supply Drivers

Zoning and land‑use:
– City of Pittsburgh: relatively open to multifamily, ADUs, and infill in many neighborhoods, but community opposition still slows some projects.
– Inner suburbs: largely built‑out; zoning tends to favor single‑family, with limited by‑right multifamily or small‑lot subdivisions.
– Outer north/south and exurban areas: more greenfield availability; zoning often allows new subdivisions but with low to medium densities, limiting large‑scale affordable supply.
Regulatory strictness and approval timelines:
– Not as restrictive as high‑cost coastal metros, but multi‑layer review (municipality, county, school, environmental) still adds time and cost.
– Historic districts and slope/landslide concerns in city create additional constraints and engineering requirements.
Construction workforce and input costs:
– Labor costs moderate compared with national average but rising due to aging skilled‑trade workforce and competing industrial/energy projects.
– Materials and insurance costs have increased post‑pandemic, compressing margins on entry‑level housing.
Topography and infrastructure:
– Hills, ravines, and rivers increase site‑work costs, limit large flat parcels, and reduce the number of easy‑build lots near the core.
– Older infrastructure in city and legacy mill towns (combined sewers, aging utilities) can add significant upfront costs for redevelopment.
Existing housing stock:
– Large share of pre‑1950 housing in city and first‑ring suburbs; rehab opportunities abundant but require capital and skilled labor.
– Suburban tracts from 1960s‑2000s provide relatively plentiful mid‑priced single‑family inventory, though many areas report tight listings since 2020.
New construction patterns:
– Concentrated in northern and southern suburbs (Cranberry, Mars/Adams, Pine/Richland, South Fayette, Cecil, Peters, parts of Butler and Washington counties).
– Infill townhomes and small multifamily projects increasingly common in city neighborhoods near job centers (Lawrenceville, Strip District, East Liberty, South Side, Hazelwood).

Housing Buying Market – Demand Drivers

Population and migration:
– Overall MSA population roughly flat to slowly declining over recent decades, but with substantial internal shifts.
– Negative domestic net migration (residents leaving) partly offset by international immigration and in‑migration of students and early‑career professionals.
– Suburban growth (Butler, parts of Washington, north/south Allegheny) contrasts with stagnation/decline in many river‑valley and rural areas.
Growing / resilient industries driving demand:
– Technology, AI, robotics, and autonomy: draw high‑earning professionals and grad students, especially into East End, Lawrenceville, Strip District, and some north/south suburbs.
– Healthcare and life sciences: stable, often counter‑cyclical; support steady housing demand near major hospital campuses and along commuter corridors.
– Logistics and light industrial around the airport and interstate interchanges: support blue‑ and white‑collar housing demand in west and northwest suburbs.
– Higher education: tens of thousands of students and staff generate sustained rental and small‑unit condo demand around Oakland, Shadyside, Squirrel Hill, South Oakland, and Dormont.
Industries under pressure / structural decline:
– Traditional heavy manufacturing and coal: long‑term job losses concentrated in Mon Valley, Beaver, Fayette, Armstrong, and parts of Westmoreland, contributing to soft housing demand and low prices there.
– Some downtown office‑using sectors face headwinds from remote/hybrid work, weakening demand for nearby condos and high‑end rentals.
Affordability and interest rates:
– Overall price level remains relatively affordable nationally, but rising rates since 2022 have impacted first‑time buyers.
– In high‑demand school districts, price‑to‑income ratios have stretched, pushing some buyers to second‑tier suburbs or exurbs.
Quality of life and amenities:
– Outdoor amenities (three rivers, trails, nearby state parks, ski areas) and cultural assets (museums, sports teams) make the region attractive to young professionals and families relative to cost.
– Perception of improving neighborhoods (Lawrenceville, Mexican War Streets, East Liberty, Millvale, Sharpsburg) supports demand even with modest regional population growth.

Key Challenges in the Housing Market

Demographic headwinds:
– Aging population in many suburbs and rural counties reduces long‑term organic household growth.
– Ongoing domestic out‑migration limits demand in weaker submarkets despite low prices.
Polarization of submarkets:
– Strong appreciation and low inventory in top school districts and gentrifying city neighborhoods.
– Persistent oversupply, high vacancy, or stagnant prices in river‑valley towns and remote rural areas.
Quality and maintenance of older housing:
– Many homes need major updates (mechanicals, roofs, windows, lead paint, foundations), raising entry costs for owner‑occupants.
– Investor‑owned low‑end housing sometimes suffers from deferred maintenance, reinforcing neighborhood decline.
Infrastructure and environmental constraints:
– Combined sewer overflows and stormwater management mandates add costs to infill development.
– Steep slopes, landslide risk, and floodplain issues limit buildable lots and increase engineering expenses.
Affordability vs. income growth:
– While still affordable vs. national norms, entry‑level buyers competing with investors see rising prices in desirable school districts.
– Wage growth outside tech/healthcare has been modest, stressing lower‑income households even in “cheap” areas.
Local tax structure and school fragmentation:
– High property taxes in many school districts increase ownership costs and influence submarket preference.
– Dozens of small school districts create sharp differences in tax rates and perceived quality over short distances, complicating development and investment decisions.

Investment Potential by Area

Area	Appreciation potential	Risk	Key drivers
City of Pittsburgh – East End (Lawrenceville, Bloomfield, Garfield, Highland Park)	High	Moderate	Proximity to CMU/Pitt, tech jobs; strong amenities and dining; limited new supply; ongoing gentrification and rehab activity
City of Pittsburgh – Oakland / Hazelwood / Junctions to riverfront tech hubs	High	Moderate‑high	University and hospital expansion, research and lab space growth, Hazelwood Green redevelopment; but zoning, community pushback, and political risk
City of Pittsburgh – North Side (Mexican War Streets, Allegheny West) and South Side Flats	Moderate‑high	Moderate	Walkable neighborhoods near downtown and stadiums; limited historic housing stock; continued professional and short‑term rental demand; crime and nuisance bars remain risks in parts
North suburbs – Pine, Marshall, Franklin Park, Hampton	High	Low‑moderate	Top‑tier schools, high incomes, constrained supply of large lots, strong family demand; downside cushioned by school reputation even in downturns
North suburbs – Cranberry, Adams, Mars (Butler County)	High	Moderate	Continued population inflows, business parks, lower property taxes vs. Allegheny, modern housing; risk from future oversupply if building outpaces job growth
South Hills – Upper St. Clair, Mt. Lebanon, Peters, South Fayette	Moderate‑high	Low‑moderate	Established and emerging high‑income suburbs with excellent schools; strong owner‑occupant base; limited large tracts for future subdivisions in some municipalities
Airport / West corridor – Moon, Robinson, Findlay, North Fayette	Moderate‑high	Moderate	Growth in logistics, e‑commerce, and airport‑related employment; good highway access; diversified product mix; cyclical exposure to freight and travel sectors
East suburbs – Murrysville, North Huntingdon, parts of Monroeville and Plum	Moderate	Moderate	Reasonable commutes, decent schools, relatively affordable pricing; appreciation reliant on broader regional population stability
River Valley – McKeesport, Clairton, Duquesne, Aliquippa, Beaver Falls	Low‑moderate (price growth), High (yield potential)	High	Very low acquisition costs and high nominal cap rates; long‑term structural job loss, out‑migration, aging housing, elevated crime and management intensity; reliant on targeted redevelopment or specific industrial projects
Outer rural / small‑town counties – Fayette, Armstrong, Lawrence	Low (appreciation), Moderate‑high (income yield)	High	Cheap housing with slow or negative population trends; limited job creation; exposure to energy and commodity cycles; suitable mainly for niche or value‑add strategies
Downtown Pittsburgh condo/high‑end rental market	Uncertain / bifurcated	Moderate‑high	Hybrid work pressures office demand; some conversion to residential and hospitality; long‑term prospects tied to success of downtown revitalization, transit, and safety initiatives

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