Clinton (IN) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Clinton (IN)
9,914
Total Investors in Clinton (IN)
980
Investor Owned SFR in Clinton (IN)
1,036(10.4%)
Individual Landlords
Landlords
832
SFR Owned
790
Corporate Landlords
Landlords
148
SFR Owned
269
Understanding Property Counts

Distinct Count Methodology: The total 1,036 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 Command 88.6% of Clinton County Rentals as Institutions Remain Sidelined
In Clinton County, individual 'mom-and-pop' investors are the definitive market force, controlling 88.6% of the 1,036 investor-owned homes, which constitute 10.4% of the total SFR market. In Q4 2025, landlords purchased 12.6% of all homes sold, securing them at a 16.5% discount compared to traditional homeowners. While landlords overall are net buyers, institutional investors were effectively neutral, signaling a market overwhelmingly shaped by small, local capital.
Landlord Owned Current Holdings
Investors own 1,036 SFRs, with individuals holding 76.3% of the portfolio.
The investor market in Clinton County is heavily cash-driven, with 908 properties owned outright versus only 128 financed. Individual landlords (832) outnumber company landlords (148) by more than five to one. A total of 977 investor-owned properties are classified as rentals.
Landlord vs Traditional Homeowners
Landlords paid 16.5% less than homeowners in Q4, a $42,241 discount per home.
The landlord discount has been highly volatile, spiking to 68.4% in Q3 2025 after landlords actually paid a 20.8% premium in Q1. Overall, property values have surged, with the average landlord acquisition price in 2025 ($209,556) up 57.4% from the 2020-2023 average ($133,156).
Current Quarter Purchases
Landlords acquired 12.6% of all homes sold in Clinton County during Q4 2025.
Mom-and-pop landlords (1-10 properties) were the most active, making up 80.0% of all investor purchases. In contrast, institutional investors (1000+ properties) accounted for just 6.7% of landlord acquisitions, purchasing only one home.
Ownership by Tier
Mom-and-pop landlords own a commanding 88.6% of Clinton County's investor SFRs.
This local dominance stands in stark contrast to institutional investors (1000+ properties), who control a mere 0.1% of the investor-owned housing stock. Single-property landlords alone account for over half the market at 55.2%, highlighting a highly fragmented ownership base.
Ownership by Tier & Type
Individual investors own the majority of properties across all portfolio sizes reported.
Even in the 'Small-medium' tier of 11-20 properties, individuals still hold a 54.5% majority share. Companies have their strongest presence in that same tier, owning 45.5% of properties, but fail to achieve majority control at any level.
Geographic Distribution
The 46058 zip code contains the highest number of investor properties at 57.
However, the highest concentration of investor ownership is in the 46067 zip code, where investors own 11.8% of the housing stock. The area with the most investor properties (46058) has a lower penetration rate of 8.5%.
Historical Transactions
Landlords in Clinton County are consistent net buyers, acquiring 20 homes while selling 16 in Q4.
This trend of accumulation has been steady throughout the year, with landlords adding a net 30 properties in 2025. In stark contrast, institutional investors were net neutral for the year, with an equal number of acquisitions and dispositions (4 buys and 4 sells).
Current Quarter Transactions
Landlord activity represented 11.6% of all Q4 property transactions in Clinton County.
In Q4, new single-property investors paid the highest average price at $219,636, while large landlords (101-1000 properties) paid the least at $150,449. Only institutional investors sourced a property from another landlord, with 50% of their purchases coming from within the investor community.

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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 1,036 SFRs, with individuals holding 76.3% of the portfolio.
Detailed Findings

Investors hold a 10.4% share of the Single-Family Residential market in Clinton County, with a total of 1,036 properties under their ownership out of 9,914 total SFRs.

Individual investors are the backbone of the local rental market, owning 790 properties, which accounts for a commanding 76.3% of the investor-owned housing stock. In contrast, company-owned SFRs number 269, making up the remaining 26.0%.

The investor landscape is dominated by a large number of small players, with 832 individual landlords compared to just 148 company entities. This highlights a granular, community-level ownership structure rather than a consolidated corporate one.

A staggering 87.6% of investor-owned properties (908 out of 1,036) are held free and clear with no financing, indicating that the market is fueled by cash reserves rather than debt. Only 128 properties are currently financed.

The primary use for these properties is rental income, with 977 of the 1,036 properties identified as rented, confirming the rental-focused strategy of local landlords.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 16.5% less than homeowners in Q4, a $42,241 discount per home.
Detailed Findings

In Q4 2025, landlords demonstrated significant purchasing power, acquiring properties for an average of $213,739, which is 16.5% less than the $255,980 paid by traditional homeowners. This equates to a substantial average discount of $42,241 per property.

The price gap between landlords and homeowners has shown extreme volatility throughout 2025. The Q4 discount follows a massive 68.4% discount in Q3 ($86,919 vs $275,292), but starkly contrasts with Q1, where landlords paid a 20.8% premium, spending $56,282 more than homeowners on average.

This pricing advantage seems to be a recent development. The Q1 premium suggests landlords were competing aggressively at the start of the year, while the deep discounts in Q3 and Q4 may signal a market shift or a focus on off-market or distressed assets.

A strong appreciation trend is evident when comparing recent prices to the pandemic era. The average landlord purchase price for 2025 ($209,556) is up 41.9% from the 2024 average ($147,634) and 57.4% higher than the 2020-2023 average ($133,156).

This long-term price growth, coupled with short-term pricing volatility, paints a picture of a dynamic market where savvy investors can find significant value but may also face periods of intense price competition.

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

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired 12.6% of all homes sold in Clinton County during Q4 2025.
Detailed Findings

Investor activity accounted for 12.6% of the Clinton County housing market in Q4 2025, with landlords purchasing 15 of the 119 total SFRs sold.

The quarter was defined by the entry of new and small-scale investors. Single-property landlords (Tier 01) were the most active group, acquiring 10 properties, which represents 66.7% of all investor purchases for the period.

Mom-and-pop landlords, who own between 1 and 10 properties, collectively dominated Q4 activity. They purchased 12 of the 15 investor-acquired homes, making up 80.0% of the landlord market share.

Institutional investors with portfolios exceeding 1,000 properties had a minimal impact, purchasing only a single property. This accounted for just 6.7% of landlord buying activity, reinforcing the market's reliance on smaller investors.

The data signals a healthy influx of new capital at the grassroots level, with 13 new entities entering the market by purchasing their first investment property in Clinton County this quarter.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords own a commanding 88.6% of Clinton County's investor SFRs.
Detailed Findings

The investor landscape in Clinton County is overwhelmingly dominated by small-scale, mom-and-pop landlords (1-10 properties), who collectively own 88.6% of all investor-held SFRs.

Defying the narrative of corporate dominance, institutional investors with portfolios of over 1,000 homes have a negligible footprint, owning just a single property which represents only 0.1% of the local investor market.

The most significant group are single-property landlords, who by themselves own 606 properties. This constitutes 55.2% of all investor-owned homes, underscoring that the market is primarily composed of individuals with one rental property.

Mid-size landlords (11-1000 properties) hold the remaining 11.3% of the market, indicating a steep drop-off in ownership concentration after the 10-property threshold.

This distribution reveals a market characterized by widespread, decentralized ownership, with the vast majority of rental housing provided by small, local investors rather than large-scale corporate entities.

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 across all portfolio sizes reported.
Detailed Findings

Individual investors maintain majority ownership across every reported portfolio tier in Clinton County, showcasing their deep-rooted presence in the market. There is no crossover point where companies become the dominant owner type.

In the entry-level single-property tier, individuals hold an overwhelming 87.0% of properties (536 homes) compared to just 13.0% for companies (80 homes).

Company ownership share gradually increases with portfolio size but never surpasses that of individuals. Companies reach their peak concentration in the 11-20 property tier, where they own 25 properties, representing a 45.5% share, yet individuals still hold the majority with 30 properties (54.5%).

This persistent individual dominance, even in mid-sized portfolios, suggests that the growth path for local investors often involves personal ownership rather than incorporation, or that incorporated entities remain a minority strategy.

The data clearly indicates that both the entry-level and the scaling-up phases of real estate investment in Clinton County are driven primarily by individual capital and ownership structures.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 46058 zip code contains the highest number of investor properties at 57.
Detailed Findings

Investor activity in Clinton County is most concentrated by count in the 46058 zip code, which hosts 57 investor-owned SFR properties.

The second most active area for investors by sheer volume is the 46065 zip code, with a total of 53 investor-owned homes.

While 46058 has the highest number of properties, it does not have the highest market penetration. That distinction belongs to the 46067 zip code, where investors own 11.8% of all SFRs, indicating a higher density of rental housing.

This contrast highlights two different geographic patterns: 46058 represents the largest pool of investor properties, while 46067 represents the market with the highest saturation of investor ownership.

These distinct patterns suggest different opportunities and competitive landscapes, with 46058 offering more scale and 46067 showing a greater acceptance or focus on rental properties.

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 in Clinton County are consistent net buyers, acquiring 20 homes while selling 16 in Q4.
Detailed Findings

Landlords in Clinton County have consistently been in an accumulation phase, acting as net buyers throughout 2025. In Q4, they purchased 20 properties while selling only 16, resulting in a net gain of 4 homes.

This positive acquisition trend holds for the entire year, with 88 properties bought versus 58 sold, for a total net increase of 30 properties to their collective portfolio.

The transaction data from previous quarters confirms this pattern, showing a net gain of 11 properties in Q3 and 12 in Q2, indicating sustained confidence and capital deployment in the local market.

Institutional investors (1000+ tier) exhibit a markedly different strategy. While they were slight net buyers in Q4 (2 buys vs 1 sell), their activity for the full year 2025 was perfectly balanced, with 4 properties acquired and 4 sold. This neutral stance suggests a strategy of portfolio churn or repositioning rather than expansion.

The divergence is clear: the overall market is growing due to the activity of smaller investors, while the largest players are maintaining a stable, non-expansionary position in Clinton County.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlord activity represented 11.6% of all Q4 property transactions in Clinton County.
Detailed Findings

In Q4 2025, landlords were involved in 20 of the 172 total SFR transactions in Clinton County, capturing an 11.6% share of the market's transaction volume.

A surprising pricing pattern emerged among tiers, with the smallest investors paying the most. Single-property landlords (Tier 01) had the highest average purchase price at $219,636 per home.

Conversely, larger investors secured properties for significantly less. Large landlords in the 101-1000 property tier paid an average of just $150,449, suggesting they are targeting different types of assets or have access to better deals than new market entrants.

The data reveals a clear split in acquisition strategy. Mom-and-pop investors made 15 purchases, none of which were from other landlords, indicating they acquire properties from the open market or directly from homeowners.

In contrast, institutional investors showed a preference for inter-landlord trades. Of their 2 transactions in Q4, one (50.0%) was a purchase from another landlord, pointing to a more insular market for the largest players.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Command 88.6% of Clinton County Rentals as Institutions Remain Sidelined
Holdings
Investors own 1,036 SFR properties, representing 10.4% of Clinton County's market, with individual investors overwhelmingly holding 790 of those homes (76.3%) compared to 269 (26.0%) by companies.
Pricing
Landlords secured a significant 16.5% discount compared to homeowners in Q4 2025, paying an average of $213,739 per property, a savings of $42,241.
Activity
In Q4, landlords purchased 12.6% of all homes sold (15 properties), a period that saw 13 new single-property landlords enter the market, reinforcing the dominance of small-scale investment.
Market Share
Small mom-and-pop landlords (1-10 properties) are the definitive force in the rental market, controlling 88.6% of investor housing, while institutional investors (1000+) own a mere 0.1%.
Ownership Type
Individual investors dominate every portfolio tier, maintaining majority ownership even in the 11-20 property bracket; there is no point at which companies become the majority owner in Clinton County.
Transactions
Landlords were net buyers in Q4 with 20 purchases versus 16 sales, while institutional investors were effectively neutral for the year, acquiring 4 homes and selling 4.
Market Narrative

The single-family rental market in Clinton County, Indiana is unequivocally shaped by local, small-scale investors. Landlords own 1,036 properties, making up 10.4% of the county's total SFR housing stock. The ownership structure is granular, with individual investors owning 76.3% of these homes. This dynamic is further emphasized by tier analysis, which shows that 'mom-and-pop' landlords (1-10 properties) control a commanding 88.6% of the rental supply, while large-scale institutional investors have a negligible presence at just 0.1%.

Investor behavior in Q4 2025 underscored these trends. Landlords were active, purchasing 12.6% of all homes sold and demonstrating a keen eye for value by securing properties at a 16.5% discount compared to traditional homeowners. The market is continuously infused with new capital from small players, evidenced by the 13 new single-property landlords who entered the market last quarter. Overall, the landlord community is in an expansionary phase, acting as net buyers, which contrasts sharply with the neutral, portfolio-churning activity of the few institutional players.

The key takeaway for the Clinton County housing market is its resilience and dependence on a broad base of individual capital. The narrative of large corporations dominating housing does not apply here. Instead, the market's health, rental availability, and investment trends are driven by the financial decisions of hundreds of local individuals. This decentralized ownership model suggests a market that is likely more stable and closely tied to the local economy rather than national corporate strategies.

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.

TierPropertiesCategory
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 GeneratedMarch 16, 2026 at 08:41 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyClinton (IN)
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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