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

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

Market Overview

Total SFR Properties in Clinton (OH)
11,624
Total Investors in Clinton (OH)
1,719
Investor Owned SFR in Clinton (OH)
1,503(12.9%)
Individual Landlords
Landlords
1,522
SFR Owned
1,230
Corporate Landlords
Landlords
197
SFR Owned
288
Understanding Property Counts

Distinct Count Methodology: The total 1,503 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 Clinton County with 97% Share, Securing 41% Property Discounts
Investors own 1,503 SFR properties in Clinton County, representing 12.9% of the market. Small mom-and-pop landlords (1-10 properties) control a staggering 96.7% of this portfolio, compared to just 0.5% for institutional investors. In Q1 2026, landlords purchased 19.4% of all homes sold, paying an average of 41.4% less than traditional homeowners and remaining strong net buyers in the market.
Landlord Owned Current Holdings
Investors hold 1,503 SFRs; individuals own 81.8% of the portfolio.
Of all investor-owned properties, a remarkable 73.9% (1,111 properties) are owned free and clear with cash, while 26.1% (392 properties) are financed. The portfolio is heavily rental-focused, with 95.0% of properties (1,428) classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords paid 41.4% less than homeowners in Q1, a discount of $145,243 per property.
The price gap between landlords and homeowners has widened dramatically from just 7.5% in Q2 2025 to 41.4% in Q1 2026. After peaking in 2025 at an average of $238,911, landlord acquisition prices saw a slight dip to $205,907 in Q1 2026, while homeowner prices continued to climb.
Current Quarter Purchases
Landlords purchased 18.9% of all homes sold in the most recent quarter.
Mom-and-pop landlords (1-10 properties) were responsible for 100% of investor purchases in the quarter, acquiring 23 properties. Institutional investors with over 1,000 properties made zero acquisitions, showing no activity in the market.
Ownership by Tier
Mom-and-pop landlords control 96.7% of Clinton County's investor-owned housing.
Institutional investors (1,000+ properties) own a negligible 0.5% of the investor-owned SFRs in the county, holding just 8 properties. The market is defined by single-property landlords, who alone own 1,088 properties, accounting for 69.8% of the entire investor portfolio.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 11 or more properties.
While individuals own 81.8% of all investor properties, companies account for 92.3% of ownership in the 11-20 property tier. Individuals constitute 89.5% of single-property landlords, but their share steadily decreases as portfolio sizes grow.
Geographic Distribution
The 45177 zip code holds the most investor properties at 806.
The highest rate of investor ownership is in the 45166 zip code, where 29.0% of homes are investor-owned. This contrasts with the 45177 zip code, which has the highest count but a lower ownership rate of 12.6%.
Historical Transactions
Landlords are strong net buyers, acquiring 2 properties for every 1 they sold in Q1.
In Q1 2026, landlords purchased 30 homes while selling only 15. This net-buyer trend was consistent through 2025, when they bought 115 properties and sold just 39. Even institutional investors were net buyers in 2025, though their volume was minimal (4 buys vs 2 sells).
Current Quarter Transactions
Landlords were involved in 19.4% of all Q1 property transactions.
New, single-property investors paid a 75% premium per property in Q1 ($234,613) compared to more established small landlords ($134,141). These new entrants were also more likely to acquire properties from existing landlords, with 22.7% of their purchases coming from this channel.

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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 hold 1,503 SFRs; individuals own 81.8% of the portfolio.
Detailed Findings

In Clinton County, investors hold a significant portfolio of 1,503 Single-Family Residential (SFR) properties, accounting for 12.9% of the total 11,624 SFRs in the market. This demonstrates a notable investor presence within the local housing landscape.

The ownership structure is overwhelmingly dominated by 1,522 individual landlords, who collectively own 1,230 properties, or 81.8% of the investor-owned market. In contrast, 197 company landlords own the remaining 288 properties (19.2%), highlighting that the market is primarily driven by small-scale, individual real estate investing.

A key characteristic of this market is the high rate of cash ownership. A total of 1,111 properties, or 73.9% of the investor portfolio, are held without financing. This compares to just 392 financed properties, suggesting investors in Clinton County rely heavily on liquidity rather than leverage.

The portfolio's primary function is clear, with 1,428 properties (95.0%) being rented out. This high concentration of non-owner-occupied homes underscores the rental-centric strategy of local landlords.

The distinction between the number of landlords (1,719) and properties (1,503) points to a prevalence of co-ownership arrangements, a common feature in markets dominated by family and small-partnership investors.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 41.4% less than homeowners in Q1, a discount of $145,243 per property.
Detailed Findings

In Q1 2026, landlords in Clinton County demonstrated a powerful purchasing advantage, acquiring properties for an average price of $205,907. This was a staggering $145,243 less than the $351,150 paid by traditional homeowners, representing a 41.4% discount.

This pricing gap has not been static; it has widened significantly over the past year. The landlord discount grew from a modest 7.5% in Q2 2025 to 26.6% in Q3 2025, before ballooning to its current 41.4% level in the most recent quarter. This trend suggests an increasing ability for investors to find and secure undervalued assets.

Looking at longer-term price trends, investor acquisition prices have seen substantial appreciation since the pandemic era. The average price of $142,262 between 2020-2023 rose to $214,477 in 2024 and peaked at $238,911 in 2025, before a slight market correction in Q1 2026.

The consistent, and growing, discount relative to homeowners indicates that investors in this market are not simply riding market waves but are actively sourcing deals well below typical market rates, possibly through off-market channels or by targeting distressed properties.

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 purchased 18.9% of all homes sold in the most recent quarter.
Detailed Findings

During the last quarter of available data (Q4 2025), landlords were responsible for 18.9% of all SFR purchases in Clinton County, acquiring 21 of the 111 homes sold. This consistent market share demonstrates their steady influence on housing demand.

The purchasing activity was exclusively driven by small-scale investors. Mom-and-pop landlords, operating in Tiers 01-04 (1-10 properties), accounted for 100% of all investor acquisitions, totaling 23 properties. This figure includes properties that may have been co-purchased.

New entrants were a major force, with single-property landlords (Tier 01) making up the largest group of buyers. These 22 new landlord entities acquired 15 properties, representing 65.2% of all investor purchases, signaling a healthy influx of new capital into the local rental market.

In stark contrast, institutional investors (Tier 09, 1000+ properties) had no purchasing activity, acquiring zero properties. Their absence underscores that the market's transactional velocity is entirely dependent on smaller, local operators.

The data clearly illustrates a grassroots market structure where the narrative of large corporations dominating purchases does not apply. Instead, it is a landscape defined by new and existing small landlords expanding their portfolios one or two properties at a time.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 96.7% of Clinton County's investor-owned housing.
Detailed Findings

The distribution of property ownership in Clinton County is exceptionally concentrated among small investors. Mom-and-pop landlords, defined as those owning 1-10 properties (Tiers 01-04), control a commanding 96.7% of all investor-owned SFRs.

This concentration is most pronounced at the smallest scale. Single-property landlords (Tier 01) are the bedrock of the market, alone accounting for 1,088 properties, or 69.8% of the total investor portfolio. This highlights the market's reliance on new and first-time investors.

Together, landlords owning five or fewer properties control a combined 93.1% of the market (1,450 properties), reinforcing the hyper-local, small-scale nature of real estate investment in the area.

Conversely, the presence of large-scale investors is minimal. Mid-size landlords (11-1000 properties) own just 3.0% of the portfolio. The institutional tier (1000+ properties) has a near-zero footprint, with just 8 properties, making up only 0.5% of investor holdings.

This ownership structure defies the common narrative of corporate landlord dominance. Clinton County's rental market is unequivocally shaped and serviced by its smallest participants.

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 clear pattern emerges when analyzing ownership by entity type across different portfolio sizes. While individual investors form the backbone of the market, a distinct crossover point occurs as portfolios scale. Companies become the majority owners starting in the 11-20 property tier (Small-medium), where they hold 24 of 26 properties (92.3%).

Individual ownership is most concentrated at the entry level. In the single-property tier, individuals own 984 properties (89.5%), compared to just 115 for companies. This dominance gradually erodes with portfolio size: individuals own 77.0% of two-property portfolios and 71.8% of 3-5 property portfolios.

The transition point is the 6-10 property tier, where ownership is nearly split, with individuals holding a slight majority at 51.8%. Beyond this tier, the corporate structure becomes the standard for managing larger portfolios.

This trend suggests that while individuals are the primary drivers of market entry and small-scale operations, investors who scale their operations beyond 10 properties typically transition to a corporate structure for liability and operational efficiency.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 45177 zip code holds the most investor properties at 806.
Detailed Findings

Investor activity in Clinton County shows significant geographic concentration at the zip code level. The 45177 zip code is the epicenter of investor ownership by volume, containing 806 investor-owned SFRs. It is followed by 45107 (195 properties) and 45159 (86 properties).

However, the areas with the highest raw counts are not necessarily those with the highest market penetration. The 45166 zip code boasts the highest investor ownership rate at 29.0%, meaning nearly three in ten homes there are owned by investors. This is followed by 45164 (23.1%) and 45159 (16.5%).

This distinction between volume and rate is critical. The 45177 zip code, despite having the largest number of investor properties, has a relatively moderate ownership rate of 12.6%. This indicates it is a large housing market where investor activity is significant but not dominant.

Conversely, smaller zip codes like 45166 and 45164 show a much deeper investor saturation relative to their market size. Investors looking for different types of opportunities might target these areas differently: 45177 for scale and 45166 for high rental density.

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 strong net buyers, acquiring 2 properties for every 1 they sold in Q1.
Detailed Findings

Transaction data reveals that landlords in Clinton County are in a phase of portfolio accumulation. In Q1 2026, they were strong net buyers, with 30 purchases against only 15 sales, a buy-to-sell ratio of 2-to-1.

This behavior is part of a consistent, multi-year trend. For the full year of 2025, landlords maintained a nearly 3-to-1 buy/sell ratio, acquiring 115 properties while divesting only 39. This pattern was also evident in 2024, with 114 buys and 43 sells.

The data shows a market characterized by steady accumulation rather than speculative flipping. Investors are actively adding to their rental portfolios and demonstrating long-term confidence in the local housing market.

Even the institutional tier, despite its tiny footprint, has been a net accumulator. In 2025, these large investors purchased 4 properties and sold 2, and in 2024 they bought 5 and sold 4. While the volumes are negligible, the direction aligns with the broader market trend of net acquisition.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 19.4% of all Q1 property transactions.
Detailed Findings

In the first quarter of 2026, landlords participated in 30 of the 155 total SFR transactions, capturing a 19.4% share of all market activity. This activity was confined entirely to mom-and-pop investors, with no transactions recorded by institutional players.

A significant price disparity emerged among active buyers. New investors in the single-property tier paid an average of $234,613 per home. This is 75% more than the $134,141 average price paid by small landlords in the 3-5 property tier, suggesting new entrants may be paying a premium to enter the market or are targeting different types of properties.

The source of acquisitions also differed by tier. Newer investors were more reliant on the existing landlord network, with 22.7% of their 22 purchases sourced from other landlords. In contrast, the more established small landlords sourced only 12.5% of their 8 purchases from other investors, indicating a greater ability to find deals from homeowners or other channels.

This transactional behavior highlights a dynamic where new investors are paying more to get established, often by purchasing turnkey rental properties from the existing landlord pool, while more experienced small investors are able to secure properties at a lower cost basis.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop investors control 97% of rentals in Clinton County, buying homes at a 41% discount.
Holdings
Landlords own 1,503 SFR properties, 12.9% of Clinton County's market. Individual investors hold a commanding 81.8% of this portfolio (1,230 properties), while companies own the remaining 19.2% (288 properties).
Pricing
In Q1 2026, landlords paid 41.4% less than homeowners, securing an average discount of $145,243 per property ($205,907 vs $351,150).
Activity
Landlords purchased 19.4% of homes sold in Q1 (30 properties), with 100% of this activity driven by mom-and-pop investors and no acquisitions from institutional firms.
Market Share
Small landlords (1-10 properties) overwhelmingly control the market with 96.7% of all investor-owned housing, while institutional investors (1000+) own a mere 0.5%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owner in portfolios of 11-20 properties, where they control 92.3% of the homes.
Transactions
Landlords are strong net buyers with a 2.0x buy-to-sell ratio in Q1 (30 buys vs 15 sells). Institutional investors are also net buyers historically, but their transaction volume is negligible.
Market Narrative

In Clinton County, Ohio, the real estate investment landscape is unequivocally defined by the small, independent landlord. Investors own 1,503 Single-Family Residential properties, representing 12.9% of the total market. Ownership is heavily skewed towards individuals, who control 81.8% of the investor-owned portfolio. The market structure detailed in these Investor Pulse reports is granular: mom-and-pop landlords (1-10 properties) hold a staggering 96.7% of inventory, while institutional firms with over 1,000 properties have a nearly invisible footprint at just 0.5%.

Investor behavior in Q1 2026 was characterized by strategic acquisition and significant purchasing power. Landlords accounted for 19.4% of all home purchases, demonstrating a consistent appetite for expansion. Their key advantage lies in pricing; they acquired properties for an average of $205,907, a remarkable 41.4% discount compared to the $351,150 paid by traditional homeowners. This trend of net acquisition is firm, with investors buying two homes for every one they sold in the first quarter, signaling strong confidence in the local market's long-term value.

The key takeaway from Clinton County is that it operates as a classic grassroots market, insulated from the large-scale corporate activity seen elsewhere. The market is fueled by local capital, with new single-property investors paying a premium to enter, while established small landlords leverage their experience to find lower-cost deals. This dynamic, combined with a heavy reliance on cash purchases (73.9% of holdings), paints a picture of a stable, self-contained rental market driven by community-level entrepreneurs rather than Wall Street firms.

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 12:34 AM
Data Period Q1 2026
Geography Level County
Geography Clinton (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
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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
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Clinton (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-clinton/. Licensed under CC BY-NC-ND 4.0.