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

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

Market Overview

Total SFR Properties in Union (OH)
19,666
Total Investors in Union (OH)
5,229
Investor Owned SFR in Union (OH)
3,445(17.5%)
Individual Landlords
Landlords
4,980
SFR Owned
3,145
Corporate Landlords
Landlords
249
SFR Owned
367
Understanding Property Counts

Distinct Count Methodology: The total 3,445 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

Mom-and-Pop Investors Dominate Union County, Acquiring Half of Market While Institutions Retreat as Net Sellers
Investors own 3,445 SFR properties in Union County (17.5% of the market), with mom-and-pop landlords controlling a staggering 96.0% versus just 2.1% for institutional investors. In Q1, landlords purchased 49.7% of all homes sold, paying a surprising 22.6% premium over traditional homeowners. This buying surge from small investors occurs as institutional players are net sellers, signaling a major divergence in market strategy.
Landlord Owned Current Holdings
Investors own 3,445 properties, with individual landlords holding a 91.3% majority.
Of the investor-owned portfolio, 64.0% of properties are financed (2,206) versus 36.0% held in cash (1,239). The portfolio is heavily focused on rentals, with 3,375 properties (97.9%) classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords paid a 22.6% premium over homeowners in Q1, averaging $477,378 per property.
This marks a dramatic shift, as landlords paid a 3.4% discount just one year prior in Q1 2025. The price dynamic has inverted, with investors now outbidding traditional buyers by an average of $88,156 per home.
Current Quarter Purchases
Landlords captured nearly half the market, buying 49.6% of all homes sold in the fourth quarter.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 63 of the 64 investor purchases, or 98.4% of the total. Institutional investors with over 1,000 properties made zero acquisitions during the quarter.
Ownership by Tier
Mom-and-pop investors control 96.0% of all landlord-owned homes in Union County.
Single-property landlords alone own 87.6% of the investor-held housing stock (3,050 properties). In contrast, institutional investors with portfolios of 1,000 or more properties control just 2.1% of the market.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 11 or more properties.
While individuals own 95.2% of single-property portfolios, companies control 96.9% of portfolios in the 11-20 property tier. This reveals a clear crossover point where professionalization and incorporation occur.
Geographic Distribution
The 43040 zip code holds the highest count of investor properties at 1,552.
However, smaller zip codes like 43077 and 43036 exhibit the highest concentration, with an investor ownership rate of 65.9%. This highlights a contrast between raw volume in urban centers and high saturation in rural areas.
Historical Transactions
Landlords are aggressive net buyers with a 9.3x buy-to-sell ratio in Q1 2026.
This trend is driven entirely by smaller investors, as institutional landlords (1,000+ properties) are consistent net sellers. In 2024, institutions sold more than they bought (3 buys vs 5 sells) and have continued this divestment pattern.
Current Quarter Transactions
Landlord transactions accounted for 49.7% of all market activity in the first quarter.
First-time investors paid the highest prices, with the single-property tier averaging $449,007 per purchase. In contrast, larger investors in the 6-10 property tier paid significantly less, at an average of $136,667.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 3,445 properties, with individual landlords holding a 91.3% majority.
Detailed Findings

Investors hold a significant 17.5% share of the single-family residential market in Union County, totaling 3,445 properties. This reflects a substantial presence of real estate investing activity shaping the local housing landscape.

The ownership structure is overwhelmingly dominated by private individuals rather than corporations. Individual landlords own 3,145 properties, accounting for 91.3% of the investor portfolio, while companies own the remaining 367 properties (10.7%).

A similar pattern exists among landlord entities, where 4,980 individual landlords vastly outnumber the 249 company landlords. This 95.2% to 4.8% split in entity types underscores the fragmented, small-scale nature of the rental market in the county.

The investor portfolio is primarily leveraged, with 2,206 properties (64.0%) carrying financing compared to 1,239 properties (36.0%) owned outright with cash. This indicates a reliance on mortgages to build and scale portfolios.

Nearly the entire investor-owned stock serves as rental housing. A total of 3,375 properties are rented, which constitutes 97.9% of all investor-owned SFRs, highlighting the critical role these landlords play in supplying rental options to the community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 22.6% premium over homeowners in Q1, averaging $477,378 per property.
Detailed Findings

In a surprising reversal of typical market dynamics, landlords in Union County paid significantly more than traditional homeowners in Q1 2026. The average landlord acquisition price was $477,378, a 22.6% premium over the homeowner average of $389,222.

This price gap of $88,156 per property in favor of sellers marks a stark departure from the previous year. In Q1 2025, landlords secured a 3.4% discount, paying $19,819 less than homeowners, which aligns with the national trend of investors finding off-market or distressed deals.

The trend shows landlords have been consistently paying premiums since mid-2025. They paid 7.7% more than homeowners in Q2 2025 and 2.4% more in Q3 2025, but the escalation to a 22.6% premium in Q1 2026 signals intense competition for available inventory.

Despite the recent high premiums, Q1 2026 prices are below the annual averages seen in 2024 ($522,341) and 2025 ($531,613). This suggests that while competition is fierce, the overall market pricing has cooled slightly from its recent peaks.

The significant price appreciation from the 2020-2023 period is clear, with the average acquisition price of $387,287 from that era rising substantially. The current market requires investors to deploy significantly more capital per acquisition.

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 nearly half the market, buying 49.6% of all homes sold in the fourth quarter.
Detailed Findings

Investor activity reached a remarkable level in Q4 2025, with landlords purchasing 64 of the 129 total SFRs sold, capturing 49.6% of the entire market. This high absorption rate indicates strong investor demand and a significant influence on local market dynamics.

The acquisition activity was almost exclusively driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) accounted for 63 of these purchases, representing 98.4% of all investor buying activity.

New entrants and single-property landlords were the most active group, acquiring 61 properties. This segment alone made up 95.3% of all investor purchases, highlighting a continuous influx of new capital from small landlords.

In stark contrast, institutional investors (1,000+ properties) made no purchases in Q4, showing a complete lack of activity from large-scale buyers in the region. This reinforces the narrative of a market dominated by smaller players.

The data shows a clear concentration of purchasing power at the smallest end of the investor spectrum, with mid-size landlords making only a handful of acquisitions, further emphasizing the fragmented nature of buying activity in Union County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors control 96.0% of all landlord-owned homes in Union County.
Detailed Findings

The distribution of property ownership in Union County is overwhelmingly concentrated among small landlords. Mom-and-pop investors, defined as those owning 1-10 properties, control a staggering 96.0% of all investor-owned SFRs.

First-time investors and single-property landlords form the bedrock of the market, owning 3,050 properties. This single tier accounts for 87.6% of all investor-held housing, demonstrating that the rental market's health is intrinsically tied to these small operators.

The mid-size landlord segment (11-1,000 properties) holds a minor share, collectively owning just 1.9% of the investor portfolio. This indicates a steep drop-off in scale after the 10-property mark.

Despite common narratives about corporate landlords, institutional investors (1,000+ properties) have a very small footprint in the county. They own just 72 properties, representing only 2.1% of the total investor-owned stock, a figure far smaller than the mom-and-pop share.

This ownership structure, with its heavy reliance on small investors, suggests a highly fragmented market that is less susceptible to the strategic shifts of a few large corporations and more reflective of local economic conditions affecting individual owners.

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
Companies become the dominant owner type in portfolios of 11 or more properties.
Detailed Findings

A distinct pattern emerges when analyzing ownership by entity type across different portfolio sizes. Individual investors overwhelmingly dominate smaller portfolios, but a clear crossover to corporate ownership occurs as portfolio sizes increase.

In the entry-level tiers, individuals are the primary owners, holding 95.2% of single-property portfolios and 75.5% of two-property portfolios. This dominance continues up to the 6-10 property tier, where individuals still own 64.6% of the homes.

The critical transition point happens at the 11-20 property tier. Here, the ownership structure flips dramatically, with companies owning 31 of the 32 properties, a 96.9% majority. This indicates that investors scaling beyond 10 properties are highly likely to operate under a corporate entity.

This crossover from individual to company ownership highlights a professionalization threshold. Investors managing larger portfolios often use corporate structures for liability protection and operational efficiency, a trend clearly visible in Union County's assessor data.

Even with this clear crossover, the vast majority of all investor properties (91.3%) remain under individual ownership, because the market is so heavily concentrated in the smaller, individual-dominated tiers.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 43040 zip code holds the highest count of investor properties at 1,552.
Detailed Findings

Geographic analysis reveals distinct pockets of investor concentration in Union County. The 43040 zip code (Marysville) is the epicenter of investor activity by sheer volume, containing 1,552 investor-owned properties.

While Marysville leads in total count, its investor ownership rate of 16.3% is near the county average. The highest market penetration is found in smaller, more rural zip codes. Both 43077 (West Mansfield) and 43036 (Magnetic Springs) have an investor ownership rate of 65.9%.

This data illustrates a key geographic pattern: investor activity is not monolithic. There is a high volume of properties in the primary population center, but a much higher saturation, or percentage of homes owned by investors, in outlying areas.

The 43016 (Dublin) and 43045 (Milford Center) zip codes also show notable investor presence, with 139 and 122 properties, respectively. Milford Center also has a high ownership rate of 20.4%.

Unfortunately, data for some zip codes like 43015 and 43060 was unavailable, which could further nuance the understanding of regional distribution. However, the existing data clearly separates high-volume areas from high-concentration areas.

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
Chart Section11 Yoy Institutional
Key Insight
Landlords are aggressive net buyers with a 9.3x buy-to-sell ratio in Q1 2026.
Detailed Findings

The overall investor market in Union County is in a phase of strong accumulation. In Q1 2026, landlords purchased 93 properties while selling only 10, resulting in a buy-to-sell ratio of 9.3-to-1 and a net gain of 83 properties.

This aggressive buying behavior has been consistent over time. In 2025, landlords bought 922 properties and sold just 45, a ratio of over 20-to-1. In 2024, they added a net 1,065 properties. This sustained activity shows a long-term bullish sentiment among the general investor pool.

However, a crucial divergence emerges when isolating institutional investors. This cohort is actively divesting from the market. In 2024, the 1,000+ tier was a net seller, and in 2025, they sold as many properties as they acquired, failing to add any new inventory.

This bifurcation is the defining trend in the market: while thousands of properties are being acquired by smaller mom-and-pop landlords, the largest players are either exiting or holding steady. This could signal a differing outlook on the market's future growth potential between large and small investors.

The data from these Investor Pulse reports shows that headline numbers about 'investors' can mask conflicting behaviors between different segments, making tier-level analysis critical for a true market understanding.

Current Quarter Transactions

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

Key Insight
Landlord transactions accounted for 49.7% of all market activity in the first quarter.
Detailed Findings

In Q1 2026, landlords were a dominant force in the transaction market, participating in 93 of the 187 total SFR sales. This 49.7% share demonstrates that nearly one out of every two homes sold in Union County was involved in an investor transaction.

The overwhelming majority of this activity came from the smallest investors. The single-property tier was responsible for 90 of the 93 landlord transactions, showcasing their role as the primary driver of market liquidity and demand.

A distinct pricing pattern emerged among tiers. New and single-property investors paid the most, with an average purchase price of $449,007. This suggests they may be competing for more expensive, turnkey properties on the open market.

Conversely, more experienced, larger landlords appear to be finding better deals. The average price for the 6-10 property tier was just $136,667, and for the 21-50 tier it was $199,100. This $312,340 price gap between the smallest and a slightly larger tier points to vastly different acquisition strategies.

Inter-landlord activity was present but not dominant. Only 7.8% of purchases by single-property landlords came from other investors. However, the one transaction by a mid-size (21-50) investor was a landlord-to-landlord deal, suggesting this channel is more critical for larger players seeking specific assets.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small landlords acquire half of Union County's housing market as institutional investors sell off holdings
Holdings
Landlords own 3,445 single-family properties, representing 17.5% of the total market in Union County, OH. The portfolio is overwhelmingly held by individual investors (91.3%) compared to companies (10.7%).
Pricing
In a striking market reversal, landlords paid a 22.6% premium over traditional homeowners in Q1, an average of $477,378 per property compared to the homeowner price of $389,222.
Activity
Investors dominated Q1 activity, purchasing 49.6% of all homes sold (93 properties). This surge was driven by the smallest landlords, with the single-property tier alone accounting for 90 of these transactions.
Market Share
Mom-and-pop landlords (1-10 properties) exert overwhelming control with 96.0% of all investor-owned housing. In contrast, institutional investors (1,000+ properties) hold a minimal 2.1% share.
Ownership Type
Individual investors control the vast majority of smaller portfolios, but companies become the majority owners for portfolios of 11 or more properties, representing a clear professionalization threshold.
Transactions
While landlords overall are aggressive net buyers with a 9.3-to-1 buy/sell ratio in Q1, institutional investors are actively retreating as net sellers, creating a starkly divergent market strategy.
Market Narrative

In Union County, Ohio, the real estate investor landscape is defined by the overwhelming dominance of small, individual landlords. Investors collectively own 3,445 single-family homes, which constitutes 17.5% of the county's entire SFR market. This significant portfolio is not controlled by large corporations; instead, 91.3% of these properties are owned by individuals. The market structure is highly fragmented, with mom-and-pop landlords (owning 1-10 properties) controlling a massive 96.0% of all investor-held housing, while large-scale institutional investors (1,000+ properties) own a mere 2.1%.

Investor behavior in Q1 2026 reveals a market of intense demand from this small-landlord segment. They purchased nearly half (49.7%) of all homes sold, a remarkably high absorption rate. In a surprising twist, these investors paid an average 22.6% premium over what traditional homeowners paid, suggesting fierce competition for limited inventory. This buying frenzy, however, masks a critical divergence: while the overall investor market is in a state of aggressive accumulation (a 9.3-to-1 buy-to-sell ratio), institutional players are simultaneously retreating as net sellers, offloading properties into this wave of mom-and-pop demand.

The key takeaway for the Union County housing market is the clear bifurcation between small and large investors. The market's direction is currently being dictated by thousands of individual buying decisions, not the portfolio strategies of a few corporate giants. This dynamic suggests that access to local financing, property management resources, and market education for small landlords are the critical factors shaping the rental supply. The retreat of institutional capital, contrasted with the aggressive entry of new individual investors paying premium prices, signals a potential transfer of assets and a shift in who controls the local rental market for the foreseeable future.

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 12:56 AM
Data Period Q1 2026
Geography Level County
Geography Union (OH)
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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
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 Section11 Yoy Institutional
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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 Union (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-union/. Licensed under CC BY-NC-ND 4.0.