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

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

Market Overview

Total SFR Properties in Union (PA)
10,525
Total Investors in Union (PA)
1,914
Investor Owned SFR in Union (PA)
1,782(16.9%)
Individual Landlords
Landlords
1,718
SFR Owned
1,569
Corporate Landlords
Landlords
196
SFR Owned
243
Understanding Property Counts

Distinct Count Methodology: The total 1,782 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, Individual Landlords Dominate Union County's Real Estate Market, Owning 97% of Rentals
Investors own 1,782 SFR properties (16.9% of the market in Union County, PA), with individuals holding 88.0% of them. In Q4 2025, small landlords acquired 56.9% of all homes sold and are consistent net buyers, signaling strong local investment and a complete absence of institutional players.
Landlord Owned Current Holdings
Landlords own 1,782 properties in Union County, with individual investors holding 88.0%.
Of these holdings, 70.5% (1,257) are owned outright in cash compared to 29.5% (525) that are financed. The portfolio consists of 1,718 individual landlords and 196 company landlords.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 22.3% less than homeowners, a $69,035 average discount.
This significant discount reverses a trend from 2025, where landlords paid premiums as high as 22.8% ($73,246) in Q3. Prices have appreciated substantially from the 2020-2023 average of $170,840 to the Q1 2026 average of $240,837.
Current Quarter Purchases
Landlords acquired a majority 56.9% of all SFR properties sold in Q4 2025.
Mom-and-pop landlords (1-10 properties) accounted for 100% of these 33 investor purchases. Thirty new single-property landlords entered the market, making up the bulk of acquisition activity.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 97.4% of investor-owned SFRs in Union County.
Single-property landlords alone own 68.3% of the entire investor inventory, with 1,283 properties. Institutional investors (1,000+ properties) have zero presence in this market.
Ownership by Tier & Type
Individual investors own the majority of properties in every landlord tier in Union County.
Companies never become the majority owner, as individuals hold 90.3% in the single-property tier and still maintain a 70.3% share in the 6-10 property tier. There is no crossover point to corporate dominance.
Geographic Distribution
Investor activity is highly concentrated, with the 17837 zip code holding 710 properties.
Certain areas show extreme investor saturation, with zip code 17885 at 100.0% and 17835 at 91.7% investor-owned. The top five zip codes by count hold 1,573 of the 1,782 total investor properties (88.3%).
Historical Transactions
Landlords in Union County are aggressive net buyers, acquiring 41 properties and selling only 4 in Q1 2026.
This strong net-buyer trend is consistent, with a 7.1x buy/sell ratio in 2025 (325 buys vs 46 sells) and a 6.7x ratio in 2024 (134 buys vs 20 sells). No institutional transactions were recorded.
Current Quarter Transactions
Landlords were involved in 49.4% of all SFR transactions in Q4 2025.
New, single-property landlords paid the highest average price among investors at $263,940. Only 6.7% of their 30 purchases were from other landlords, showing they primarily buy from the traditional market.

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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 1,782 properties in Union County, with individual investors holding 88.0%.
Detailed Findings

In Union County, PA, investors hold 1,782 Single-Family Residential (SFR) properties, making up 16.9% of the total 10,525 SFRs in the market. This represents a significant, yet not dominant, portion of the local housing stock held for investment purposes.

The ownership structure is overwhelmingly tilted towards individuals. Individual investors own 1,569 properties, which is 88.0% of the entire investor portfolio, while companies own the remaining 243 properties (13.6%). This dynamic is also reflected in the entity count, with 1,718 individual landlords compared to just 196 company landlords.

A notable financial characteristic of this portfolio is the preference for cash ownership. A strong majority of properties, 1,257 in total (70.5%), are owned free of financing. In contrast, only 525 properties (29.5%) are financed, suggesting that many local investors operate with low leverage.

The portfolio is heavily focused on rental activity, with 1,725 properties classified as rented. This high concentration reinforces the primary strategy of these owners as providers of rental housing to the community.

The data paints a clear picture of a market dominated by small, private capital. The high ratio of individual owners to company owners indicates a fragmented market, where real estate investing is pursued more by local individuals than by larger corporate entities, a trend that defies the national narrative of corporate landlord consolidation.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 22.3% less than homeowners, a $69,035 average discount.
Detailed Findings

In the first quarter of 2026, landlords in Union County achieved a significant pricing advantage, purchasing properties for an average of $240,837. This was 22.3% less than the $309,872 paid by traditional homeowners, translating to a substantial discount of $69,035 per property.

This pricing behavior marks a sharp reversal from 2025, where the dynamic was inconsistent and often unfavorable for investors. For instance, in Q3 2025, landlords paid a 22.8% premium ($394,259 vs. $321,013), and a 7.5% premium in Q2 2025. This volatility suggests that the landlord's pricing advantage is highly dependent on quarterly market conditions rather than a consistent structural edge.

Long-term price trends show considerable appreciation in the market. The average landlord acquisition price of $240,837 in Q1 2026 is 40.9% higher than the average of $170,840 recorded during the 2020-2023 period, highlighting significant market growth post-pandemic.

While historical data shows active purchasing, the provided datasets indicate zero properties were purchased by landlords across all quarters of 2024 and 2025. This may reflect gaps in the dataset for those periods, as transaction data from other sections confirms ongoing activity. The price points, however, still serve as a valid benchmark for market values during those times.

The fluctuating premium-to-discount dynamic indicates that investors in this market must be highly adaptive. Their ability to secure a steep discount in Q1 2026 after quarters of paying premiums points to either opportunistic buying or shifting market leverage in their favor.

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 acquired a majority 56.9% of all SFR properties sold in Q4 2025.
Detailed Findings

Investor activity surged in the fourth quarter of 2025, with landlords purchasing 33 of the 58 total SFRs sold in Union County. This represents a controlling 56.9% share of the market's sales activity for the period, indicating investors were the primary driver of demand.

The acquisition activity was exclusively driven by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 100% of all investor purchases, with zero activity recorded from mid-size or institutional tiers.

A significant trend is the influx of new entrants into the rental market. First-time landlords, categorized in the single-property tier, were the most active group, with 30 new entities acquiring 24 properties. This accounts for 68.6% of all properties bought by investors in the quarter.

The data underscores a complete lack of institutional-level purchasing. The 0.0% market share for institutional investors in Q4 reinforces the theme that Union County's investment landscape is built entirely from the ground up by local, small-scale players.

This concentration of purchasing power among new and small landlords signals a healthy and accessible market for individual investors. It suggests that the barrier to entry is relatively low and that local individuals, not large corporations, are the ones expanding their rental portfolios.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 97.4% of investor-owned SFRs in Union County.
Detailed Findings

The ownership structure of investment properties in Union County is almost entirely composed of small-scale landlords. Mom-and-pop investors (owning 1-10 properties) collectively own 97.4% of all investor-held SFRs, demonstrating a highly decentralized and fragmented market.

The foundation of this market is the single-property landlord. This tier alone accounts for 1,283 properties, representing a remarkable 68.3% of the total investor-owned housing stock. This highlights the critical role of first-time or small-scale investors in providing rental housing.

In stark contrast to national headlines, there is a complete absence of large-scale institutional ownership. The 1,000+ property tier holds zero properties, and even mid-size investors (11-1,000 properties) control a negligible 2.6% of the portfolio combined. This makes Union County a clear example of a market untouched by large corporate real estate aggregation.

The data reveals a market structure where the top is virtually nonexistent and the base is extremely broad. The progression from single-property owners to the 6-10 property tier shows a natural, gradual accumulation, which is characteristic of a healthy, grassroots investment environment.

Ultimately, the story of property ownership in Union County is one of local enterprise. The market's stability and character are defined not by distant corporations, but by thousands of individual community stakeholders who own one or a few properties each.

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
Individual investors own the majority of properties in every landlord tier in Union County.
Detailed Findings

In Union County's investor market, there is no portfolio size at which companies overtake individuals as the dominant owner type. Individual investors maintain a strong majority across all defined tiers, reinforcing the market's private, non-corporate character.

Even as portfolio sizes grow, individual ownership remains the standard. In the single-property tier, individuals own 1,174 properties (90.3%) compared to 126 for companies. This pattern persists into the 6-10 property tier, where individuals still own a commanding 70.3% majority (52 properties).

The so-called crossover point, where corporate ownership typically begins to dominate in other markets, does not exist here. The data shows that as local investors scale, they tend to do so under their own names rather than through corporate entities.

Company ownership is present but represents a clear minority stake in every segment. Their largest presence is in the 6-10 property tier, holding 22 properties (29.7%), but this is still far from a controlling share.

This ownership pattern challenges the assumption that scaling in real estate requires corporatization. In Union County, the path to building a larger portfolio remains an endeavor driven by individual capital and personal management, shaping a unique local market dynamic.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 17837 zip code holding 710 properties.
Detailed Findings

Geographic analysis reveals a high degree of concentration in investor ownership within Union County. The zip code 17837 is the clear epicenter of activity, containing 710 investor-owned properties, which is 39.8% of the entire investor portfolio in the county.

Following 17837, the next most popular areas for investors are 17844 (404 properties), 17845 (179 properties), and 17856 (179 properties). Together, the top five zip codes by count contain 1,573 properties, or 88.3% of all investor-owned SFRs, indicating that investment is focused on a few key areas.

While some areas lead by sheer volume, others stand out for their extreme investor penetration rates. The zip codes 17885 (100.0% investor-owned), 17835 (91.7%), and 17829 (90.0%) are almost entirely owned by investors, suggesting these are niche areas comprised almost exclusively of rental housing.

The data highlights a distinction between areas with the highest counts and those with the highest percentages. For example, 17837 has the most properties but an investor ownership rate of 16.0%, whereas the much smaller area of 17855 has a higher rate of 29.2% with 101 properties.

This targeted investment pattern suggests that local landlords have identified specific neighborhoods or towns as prime rental markets. Understanding these micro-markets is critical, as overall county statistics do not capture the intense saturation occurring in these select zip codes.

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
Key Insight
Landlords in Union County are aggressive net buyers, acquiring 41 properties and selling only 4 in Q1 2026.
Detailed Findings

Transaction data reveals that Union County landlords are in a phase of aggressive accumulation. In the first quarter of 2026, they purchased 41 properties while selling only 4, resulting in a buy-to-sell ratio of over 10-to-1 and a net gain of 37 properties to their portfolios.

This behavior is not a recent development but a consistent, multi-year trend. In 2025, investors were net buyers by a margin of 279 properties (325 buys vs. 46 sells). The pattern was similar in 2024, with a net acquisition of 114 properties (134 buys vs. 20 sells), signaling sustained confidence in the local market.

The volume of transactions has been accelerating. The 325 properties purchased in 2025 represent a 142% increase over the 134 properties acquired in 2024, indicating that investor demand is growing stronger over time.

Mirroring findings in other sections of this market report, there is a complete lack of transaction data for institutional-tier investors. All buying and selling activity originates from the smaller, mom-and-pop segment of the market.

The persistent and accelerating net-buyer status of local landlords points to a bullish outlook on the Union County rental market. These investors are not just maintaining their holdings but are actively expanding them, reinvesting capital to grow their footprint in the community.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 49.4% of all SFR transactions in Q4 2025.
Detailed Findings

In the fourth quarter of 2025, landlords played a pivotal role in market liquidity, participating in 41 of the 83 total SFR transactions. This 49.4% share underscores their significance as a major source of buying activity in Union County.

Pricing behavior among acquiring landlords varied by experience level. New investors in the single-property tier paid the highest average price at $263,940 per property. This is notably higher than the $133,264 average paid by two-property landlords, suggesting new entrants may be paying a premium to secure their first asset.

The data reveals very little inter-landlord trading, especially among new buyers. Of the 30 transactions conducted by single-property landlords, only 2 (6.7%) were sourced from another landlord. This indicates that new investors are overwhelmingly purchasing their properties from traditional homeowners, not from other investors liquidating assets.

All 41 landlord transactions in the quarter were conducted by mom-and-pop investors (Tiers 01-04), with zero activity from larger entities. This reinforces that the market's transactional flow is entirely driven by small, independent operators.

The transactional dynamics suggest a market where new capital from aspiring landlords is a primary driver. These new investors are fueling demand by absorbing inventory from the homeowner market, thereby expanding the overall pool of rental properties in the county.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Are the Entire Market in Union County, Owning 97.4% of Rentals with Zero Institutional Presence
Holdings
Landlords own 1,782 SFR properties, representing 16.9% of Union County's market, with individual investors overwhelmingly controlling the portfolio at 88.0% (1,569 properties) versus 13.6% (243 properties) for companies.
Pricing
In a volatile market, landlords secured a 22.3% discount compared to homeowners in Q1 2026, paying an average of $240,837 versus $309,872, a reversal from premiums paid in 2025.
Activity
Landlords dominated Q4 2025 activity, purchasing 56.9% of all SFR sales (33 properties), with 30 new single-property landlords entering the market and accounting for most of the volume.
Market Share
Small landlords (1-10 properties) control a near-total 97.4% of all investor-owned housing in Union County, while institutional investors (1,000+ properties) have no ownership stake.
Ownership Type
Individual investors dominate every portfolio tier, with no crossover point where companies become the majority; even in the 6-10 property tier, individuals own 70.3% of properties.
Transactions
Landlords are strong net buyers with a 10.25x buy/sell ratio in Q1 2026 (41 buys vs 4 sells), and there is no institutional transaction activity recorded.
Market Narrative

The single-family rental market in Union County, PA is a definitive example of a landscape shaped by local, individual enterprise. Investors own 1,782 SFR properties, comprising 16.9% of the county's total SFR housing stock. Ownership is firmly in the hands of private individuals, who control 1,569 properties (88.0%), dwarfing the 243 properties (13.6%) held by companies. The market structure is highly fragmented and grassroots-driven; mom-and-pop landlords (1-10 properties) command an overwhelming 97.4% of the investor-owned portfolio, while institutional investors have absolutely no presence.

Investor behavior reflects strong confidence and active expansion. In Q4 2025, landlords were the primary buyers in the market, acquiring a majority 56.9% of all homes sold. This activity was fueled by new entrants, with 30 first-time landlords joining the market. Financially, investors have demonstrated adaptive purchasing strategies, securing a significant 22.3% discount against homeowners in Q1 2026 after paying premiums in prior quarters. The transaction data confirms a powerful accumulation trend: landlords are aggressive net buyers, purchasing 41 properties while selling only 4 in Q1 2026, a pattern consistent over the past several years.

The key takeaway for Union County is that its rental market is built and sustained by its own community members, not by Wall Street. The absence of institutional capital and the dominance of individual owners create a resilient, decentralized ecosystem. Growth is driven by aspiring local landlords entering the market and existing small operators expanding their holdings, primarily by purchasing from traditional homeowners. This dynamic suggests that for the foreseeable future, the availability and management of rental housing in Union County will remain a local affair, shaped by the decisions of thousands of independent investors.

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 01:56 AM
Data Period Q1 2026
Geography Level County
Geography Union (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 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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You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

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How to cite this report

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