Tioga (PA) Investor Pulse Report (2026-Q1)

Real Estate comprehensive investment analysis of investor activity in the Tioga (PA) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Tioga (PA)
9,268
Total Investors in Tioga (PA)
2,639
Investor Owned SFR in Tioga (PA)
2,165(23.4%)
Individual Landlords
Landlords
2,481
SFR Owned
2,001
Corporate Landlords
Landlords
158
SFR Owned
179
Understanding Property Counts

Distinct Count Methodology: The total 2,165 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Small investors dominate Tioga County's real estate market, controlling 99.6% of rentals and buying at a 28.5% discount.
Investors own 2,165 SFR properties (23.4% of the market) in Tioga County, with individual mom-and-pop landlords controlling a staggering 99.6%. In the latest quarter, landlords were aggressive net buyers, acquiring 33.0% of properties sold and paying 28.5% less than traditional homeowners, while institutional investors remained on the sidelines.
Landlord Owned Current Holdings
Landlords own 2,165 SFRs in Tioga County, with individuals holding a dominant 92.4% share.
Cash purchases vastly outnumber financed ones (1,613 vs 552), signaling strong capital positions. Nearly all investor properties (98.8%) are rented, indicating a clear focus on rental income generation.
Landlord vs Traditional Homeowners
Investors paid 28.5% less than homeowners in Q1, a massive $65,008 discount per property.
The current 28.5% discount is a sharp reversal from Q1 2025, when landlords paid a 20.7% premium over homeowners. This indicates a significant shift in buying strategy or market conditions.
Current Quarter Purchases
Landlords captured 33.0% of all SFR sales in Q4, acquiring 30 of the 91 properties sold.
Mom-and-pop investors were responsible for 100% of landlord purchases, with institutional investors making zero acquisitions. New single-property investors dominated, accounting for 29 of the 30 properties purchased.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 99.6% of investor-owned SFRs.
Institutional investors (1,000+ properties) have a negligible footprint, owning just 0.1% of the portfolio. Single-property landlords are the market's foundation, holding 84.8% of all investor-owned homes.
Ownership by Tier & Type
Individuals dominate smaller portfolios, owning 93.6% of single-property landlord holdings.
Company ownership share increases with portfolio size, growing from 6.4% in the single-property tier to 37.5% in the 6-10 property tier. Individuals remain the majority owner type across all mom-and-pop tiers.
Geographic Distribution
The 16901 zip code is the epicenter of investor activity, with 547 properties owned by landlords.
Investor penetration is highest in smaller zip codes, with 16939 and 16911 showing extreme concentration at 81.5% and 80.0% investor ownership, respectively. The areas with the highest property counts do not have the highest ownership rates.
Historical Transactions
Landlords are aggressive net buyers, acquiring 37 properties while selling only 10 in Q1 2026.
The trend of strong net buying is consistent, with 173 purchases versus 15 sales in 2025 and 115 purchases versus 17 sales in 2024. Institutional investors were minimally active but also net buyers in 2025, with 3 buys and 2 sells.
Current Quarter Transactions
Landlords were involved in 31.4% of all Q1 market transactions, participating in 37 of 118 sales.
Mom-and-pop investors drove all 37 landlord transactions, with an average purchase price of $166,923 for single-property buyers. Institutions made zero purchases. The single two-property buyer acquired their property from another landlord.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Landlords own 2,165 SFRs in Tioga County, with individuals holding a dominant 92.4% share.
Detailed Findings

In Tioga County, landlords hold a significant 23.4% of the single-family residential market, owning 2,165 out of 9,268 total properties. This demonstrates a substantial investor presence shaping the local housing and rental landscape.

The market is overwhelmingly characterized by individual ownership rather than corporate control. Individual investors own 2,001 properties, making up 92.4% of the investor portfolio, compared to just 179 properties (8.3%) owned by companies.

Cash is the preferred method of acquisition and holding, with 1,613 properties owned outright versus 552 that are financed. This nearly 3-to-1 ratio of cash-to-financed properties indicates that local investors are well-capitalized and less exposed to interest rate volatility.

The investor portfolio is almost exclusively dedicated to rentals. Of the 2,165 investor-owned homes, 2,139 are classified as rented, a 98.8% penetration rate that underscores a buy-and-hold rental strategy as the primary investment model.

There are more individual landlord entities (2,481) than properties they own (2,001), a pattern suggesting a high degree of co-ownership or partnerships among small-scale investors in the Tioga County market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Investors paid 28.5% less than homeowners in Q1, a massive $65,008 discount per property.
Detailed Findings

Investors in Tioga County demonstrated a powerful purchasing advantage in Q1 2026, acquiring properties for an average of $162,834. This price point represents a 28.5% discount compared to the $227,842 paid by traditional homeowners, saving investors an average of $65,008 per transaction.

The landlord purchasing advantage has been extremely volatile over the past year. The current deep discount is a complete reversal from Q1 2025, when investors paid a 20.7% premium ($184,933 vs $153,224). This swing suggests a market that has shifted from high investor competition to one with more strategic, below-market acquisitions.

Despite the Q1 2026 dip, overall prices remain elevated compared to the pandemic era. The average 2024 landlord purchase price of $172,522 is significantly higher than the $141,302 average from 2020-2023, reflecting sustained market appreciation.

The significant premium paid by landlords in Q1 2025 stands out as a major anomaly. This period may have reflected a surge in competition for desirable assets or a focus on a different class of property, contrasting sharply with the current discount-driven strategy.

The trend of landlords paying less than homeowners was re-established in mid-2025, with discounts of 6.7% in Q3 and 10.7% in Q2, before widening dramatically to the current 28.5% level in Q1 2026.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords captured 33.0% of all SFR sales in Q4, acquiring 30 of the 91 properties sold.
Detailed Findings

Landlords represented a powerful force in the Q4 2025 market, purchasing 30 of the 91 available SFR properties. This 33.0% market share highlights their significant impact on local housing inventory and sales activity.

The entirety of investor purchasing activity was driven by mom-and-pop landlords (1-10 properties), who accounted for 100% of the 30 acquisitions. Institutional investors with over 1,000 properties were completely absent, making zero purchases in the quarter.

New market entrants were the primary driver of demand. An influx of 35 new single-property landlord entities acquired 29 properties, representing 96.7% of all investor purchases and signaling a healthy, growing base of small-scale investors.

Activity was highly concentrated at the smallest tier. The focus on single-property acquisitions, with only one purchase made by a landlord in the two-property tier, shows that Q4 was defined by new investors starting their portfolios, not by existing ones expanding.

The absence of mid-size and institutional buyers underscores that Tioga County's investor market is fundamentally a grassroots phenomenon, fueled by local capital and new participants rather than large-scale corporate investment.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a staggering 99.6% of investor-owned SFRs.
Detailed Findings

The investor landscape in Tioga County is defined by the overwhelming dominance of small-scale landlords. Those owning 1-10 properties (Tiers 01-04) collectively control 99.6% of all investor-owned single-family homes, challenging the narrative of corporate landlord takeover.

First-time and single-property investors form the bedrock of the market. Landlords in Tier 01 (1 property) alone own 1,869 homes, which accounts for 84.8% of the entire investor-owned portfolio.

Institutional ownership is practically nonexistent. Investors in the 1,000+ property tier own just 2 properties in the county, a mere 0.1% share. This illustrates a market entirely disconnected from large, national investment funds.

Ownership is heavily skewed toward the smallest portfolios. After the initial tier, property counts drop precipitously, with two-property landlords holding 7.2% and those with 3-5 properties holding 6.2%. All tiers above 10 properties combined account for less than half a percent of the market.

This distribution reveals a highly fragmented market composed of thousands of individual stakeholders, suggesting that local market dynamics are driven by personal financial decisions rather than institutional asset allocation strategies.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Individuals dominate smaller portfolios, owning 93.6% of single-property landlord holdings.
Detailed Findings

Individual investors are the primary owners in the critical entry-level tiers. They own 93.6% of the properties held by single-property landlords (1,761 of 1,869) and 87.4% of those in two-property portfolios, confirming their foundational role.

Corporate ownership clearly correlates with portfolio scale. The percentage of properties owned by companies rises steadily as investors grow, increasing from 6.4% in Tier 01 to 14.0% in the 3-5 property tier and reaching 37.5% in the 6-10 property tier.

The data suggests a strategic crossover point where investors are more likely to incorporate for liability and financial management. The sharp increase in company ownership in the 6-10 property tier indicates this is a key milestone for portfolio professionalization.

Despite this trend, individuals maintain their majority ownership across the entire mom-and-pop segment (1-10 properties). This shows that even as portfolios grow, personal ownership remains the prevailing structure in the local market.

The preference for incorporation among larger landlords is clear, yet the absolute numbers still reflect an individual-dominated market. For example, in the 6-10 property tier, companies own 12 properties compared to the 20 owned by individuals.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 16901 zip code is the epicenter of investor activity, with 547 properties owned by landlords.
Detailed Findings

Investor activity by volume is heavily concentrated in the 16901 zip code, where landlords own 547 properties. This area, along with 16933 (209 properties) and 16950 (197 properties), forms the core of investor holdings in Tioga County.

However, the highest rates of investor saturation occur in different, smaller markets. The 16939 and 16911 zip codes exhibit extreme investor dominance, with 81.5% and 80.0% of all SFR properties being investor-owned, respectively.

This reveals a clear distinction between where investors own the most properties and where they control the largest share of the market. For instance, 16901 has the highest count but a modest 21.1% ownership rate, while 16939's 81.5% rate is based on a smaller total housing stock.

The data points to two parallel investment strategies: accumulating a high number of properties in more populated areas versus achieving near-total market control in smaller, potentially more rural or niche communities.

Investor presence varies widely across the county, from the hyper-saturated markets of 16939 and 16911 to areas with more moderate penetration like 16950 (27.9%) and 16912 (24.6%), showing a diverse geographic footprint.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords are aggressive net buyers, acquiring 37 properties while selling only 10 in Q1 2026.
Detailed Findings

Investors in Tioga County are in a strong accumulation phase, consistently buying far more properties than they sell. In Q1 2026, they were net buyers by a factor of 3.7-to-1, with 37 acquisitions against only 10 dispositions.

This aggressive buying posture is a multi-year trend. In 2025, landlords acquired 173 properties while selling just 15, a net gain of 158 properties. This followed a similar pattern in 2024, which saw 115 buys versus 17 sells, a net gain of 98.

Selling activity remains exceptionally low, suggesting investors are employing a long-term buy-and-hold strategy. The low volume of sales indicates a lack of portfolio churning and a strong conviction in the local market's potential for appreciation and rental income.

Institutional investors, while barely active, are not divesting. Their net position in 2025 was slightly positive, with 3 purchases and 2 sales. This minimal activity reinforces that market momentum is driven entirely by smaller players.

The sustained imbalance between buying and selling signals that investors are a primary source of housing demand in the county and are actively expanding their portfolios rather than liquidating them.

Current Quarter Transactions

Q1 2026 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 31.4% of all Q1 market transactions, participating in 37 of 118 sales.
Detailed Findings

In Q1 2026, landlords played a crucial role in market liquidity, participating in 37 of the 118 total SFR transactions for a 31.4% share. This high level of involvement underscores their importance as active buyers in the Tioga County market.

Transaction activity was dominated by new investors entering the market. Single-property landlords (Tier 01) accounted for 35 of the 37 investor transactions, purchasing properties at an average price of $166,923.

Institutional investors were entirely absent from the transactional market in Q1, recording zero purchases or sales. All activity was confined to the mom-and-pop tiers, further cementing their control of the local market.

A notable pricing disparity appeared within the smallest tiers. While Tier 01 buyers paid an average of $166,923, the single transaction by a Tier 02 landlord was for just $32,000, suggesting the acquisition of a distressed asset or a non-traditional property type.

Sourcing from other landlords is a component of the market, but not the primary one for new buyers. Only 17.1% of Tier 01 purchases came from existing landlords, whereas the one Tier 02 purchase was a 100% landlord-to-landlord deal, indicating that more established investors may be more likely to trade amongst themselves.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop investors command Tioga County's market with 99.6% ownership, acquiring properties at a 28.5% discount as institutions remain absent.
Holdings
Landlords own 2,165 SFR properties, representing 23.4% of Tioga County's market. Individual investors overwhelmingly dominate, holding 2,001 properties (92.4%) compared to just 179 (8.3%) for companies.
Pricing
In Q1 2026, landlords paid 28.5% less than homeowners, securing an average discount of $65,008 per property ($162,834 vs $227,842).
Activity
Landlords purchased 30 properties in Q4 (33.0% of all sales), with activity driven almost entirely by 35 new single-property landlords entering the market.
Market Share
Small "mom-and-pop" landlords (1-10 properties) control 99.6% of investor housing, while institutional investors (1000+) own just 0.1%.
Ownership Type
Individual investors dominate all smaller portfolios, but company ownership grows with scale, reaching 37.5% in the 6-10 property tier, suggesting incorporation becomes more common as portfolios expand.
Transactions
Landlords are strong net buyers with a 3.7x buy/sell ratio in Q1 2026 (37 buys vs 10 sells), while institutional investors have a negligible transaction footprint.
Market Narrative

The investor landscape in Tioga County, Pennsylvania is fundamentally a story of the individual, small-scale operator. Investors command a significant 23.4% of the single-family housing market, owning 2,165 properties. However, this market is overwhelmingly shaped by mom-and-pop landlords (1-10 properties), who control a staggering 99.6% of all investor-owned homes. Individual owners account for 92.4% of the portfolio, while institutional firms with over 1,000 properties have a nearly invisible footprint at just 0.1%. This structure defies the common narrative of corporate consolidation and highlights a market built on local capital and individual real estate investing strategies.

Investor behavior in the most recent quarter reinforces this grassroots dynamic. Landlords were aggressive net buyers, acquiring 33.0% of all properties sold while consistently securing properties at a deep discount. In Q1 2026, investors paid an average of 28.5% less than traditional homeowners, a savings of over $65,000 per home. This activity was driven almost exclusively by new entrants, with 35 new single-property landlords joining the market. The transaction data shows a consistent trend of portfolio accumulation, with a buy-to-sell ratio of 3.7-to-1, signaling strong confidence in the local market's long-term value.

The key takeaway from these market reports is that Tioga County is a bastion of the traditional real estate investor. The market's health, liquidity, and future direction are dictated not by institutional boardrooms, but by the financial decisions of thousands of individual owners. With a strong preference for cash holdings and a focus on long-term rentals, these investors provide crucial housing stock but also represent a significant source of demand. For anyone looking to understand the local housing market, the focus must be on the motivations and actions of these small, independent operators who collectively define its character.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 01:57 AM
Data Period Q1 2026
Geography Level County
Geography Tioga (PA)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Tioga (PA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-pa-tioga/. Licensed under CC BY-NC-ND 4.0.