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

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

Market Overview

Total SFR Properties in Brown (OH)
11,285
Total Investors in Brown (OH)
2,544
Investor Owned SFR in Brown (OH)
2,058(18.2%)
Individual Landlords
Landlords
2,334
SFR Owned
1,790
Corporate Landlords
Landlords
210
SFR Owned
306
Understanding Property Counts

Distinct Count Methodology: The total 2,058 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 Landlords Dominate Brown County with 95.5% Ownership as Institutions Retreat
Investors own 2,058 single-family properties in Brown County, OH, representing 18.2% of the market. The market is overwhelmingly controlled by mom-and-pop landlords (95.5% of holdings), while institutional investors are net sellers. In Q1, landlords acquired properties at a 12.5% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 2,058 SFR properties in Brown County, with individuals holding 87.0%.
Of these holdings, 1,356 properties were purchased with cash, nearly double the 702 that are financed. The portfolio is highly focused on rentals, with 2,018 properties classified as non-owner-occupied. Individual landlords (2,334) vastly outnumber company landlords (210).
Landlord vs Traditional Homeowners
Landlords paid 12.5% less than homeowners in Q1, a $34,532 discount per property.
The landlord discount has been volatile, narrowing to just 5.6% in Q2 2025 before widening again to its current 12.5% level. This price advantage has remained a consistent feature of the market over the last year. Landlord acquisition prices averaged $241,410 in Q1 2026 versus $275,942 for homeowners.
Current Quarter Purchases
Landlords acquired 22.2% of all single-family homes sold in the fourth quarter.
Mom-and-pop landlords (1-10 properties) dominated acquisition activity, accounting for 80.0% of all investor purchases. Institutional investors (1000+ properties) represented just 10.0% of landlord buying activity, acquiring only 2 properties.
Ownership by Tier
Mom-and-pop landlords control 95.5% of all investor-owned SFRs in Brown County.
Institutional investors (1000+ properties) have a negligible footprint, owning just 10 properties, or 0.5% of the investor market. The single-property tier alone accounts for 1,636 properties, representing 77.9% of all investor-owned housing.
Ownership by Tier & Type
Companies become the majority property owner over individuals in portfolios of 11+ properties.
In the 1-10 property range, individuals own a commanding share, such as 92.2% of single-property portfolios. However, this flips in the 11-20 property tier, where companies own 74.1% of the homes. The trend continues into the 21-50 tier, with companies holding 76.9%.
Geographic Distribution
Investor activity is most concentrated in the 45121 and 45171 zip codes, each with 401 properties.
Certain smaller zip codes exhibit extremely high investor ownership rates, with 45119 at 54.5%. In contrast, the largest hubs of investor-owned properties, like 45121 and 45171, have more moderate penetration rates of 17.9% and 23.0% respectively.
Historical Transactions
Brown County landlords are strong net buyers, acquiring properties at a high velocity while institutions are net sellers.
In Q1 2026, landlords purchased 27 properties while selling only 8. This trend was consistent through 2025, when they bought 174 properties and sold just 37. In contrast, institutional investors (1000+ tier) were net sellers in both 2025 (1 buy vs 2 sells) and 2024 (2 buys vs 4 sells).
Current Quarter Transactions
Landlords were involved in 19.1% of all Q1 transactions, with institutions paying 51.8% less than new landlords.
New single-property landlords paid an average of $259,587 for homes in Q1. In contrast, institutional buyers paid an average of just $125,050. This massive price gap suggests institutions are targeting a completely different class of lower-cost assets.

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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 2,058 SFR properties in Brown County, with individuals holding 87.0%.
Detailed Findings

In Brown County, OH, investors hold a significant 2,058 single-family properties, which constitutes 18.2% of the total 11,285 SFRs in the market. This reveals a substantial investor presence within the local housing ecosystem.

Ownership is heavily skewed towards individuals over corporations. Individual investors own 1,790 properties, accounting for a commanding 87.0% of the investor-owned portfolio, while companies hold the remaining 306 properties (14.9%).

This individual dominance is also reflected in the entity count, where 2,334 individual landlords operate in the county compared to just 210 company landlords. This composition underscores a market driven by small-scale, local real estate investing rather than large corporate entities.

When analyzing financing, a clear preference for liquidity emerges. Landlords own 1,356 properties with cash, a figure that is nearly double the 702 properties that are financed, signaling a well-capitalized investor base.

The rental focus of this portfolio is unambiguous, with 2,018 properties identified as non-owner-occupied. This high concentration confirms that the overwhelming majority of investor-owned properties are active rentals contributing to the local housing supply.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 12.5% less than homeowners in Q1, a $34,532 discount per property.
Detailed Findings

Investors in Brown County consistently purchase properties at a significant discount compared to traditional homeowners. In the first quarter of 2026, landlords paid an average of $241,410, which is 12.5% less than the $275,942 paid by homeowners, creating an average price gap of $34,532 per transaction.

This pricing advantage has been a persistent market feature, though its magnitude fluctuates. The discount widened from 9.2% ($26,510) in Q3 2025 and 5.6% ($16,083) in Q2 2025, indicating that investors' purchasing power relative to homeowners has strengthened recently.

Examining longer-term price trends reveals steady appreciation. The average landlord acquisition price of $241,410 in Q1 2026 marks an 18.4% increase from the pandemic-era average of $203,813 (2020-2023), highlighting significant equity growth for long-term holders.

The price gap demonstrates a key strategic advantage for investors, who are often more adept at identifying undervalued assets or negotiating favorable terms than typical homebuyers.

This consistent ability to acquire assets below the prevailing market rate for owner-occupiers is a primary driver of profitability and portfolio growth for investors in the region.

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 22.2% of all single-family homes sold in the fourth quarter.
Detailed Findings

Investor purchasing activity remains a powerful force in the Brown County market, with landlords acquiring 20 of the 90 total SFRs sold in Q4 2025, capturing a 22.2% market share.

The overwhelming majority of this activity is driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 16 of the 20 investor purchases, an 80.0% share of acquisition volume. This highlights the grassroots nature of market activity.

New entrants are a key component of this trend. The single-property tier saw 22 new entities enter the market, purchasing 16 properties and comprising 80.0% of all investor acquisitions for the quarter.

In stark contrast, institutional investors with portfolios of over 1,000 properties played a minimal role, purchasing just 2 properties, which accounted for only 10.0% of the landlord total.

This distribution of purchasing power, with small investors driving 80% of activity, reinforces that market demand is primarily fueled by local entrepreneurs and new landlords rather than large, out-of-state corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 95.5% of all investor-owned SFRs in Brown County.
Detailed Findings

The ownership structure of investor-held real estate in Brown County is overwhelmingly dominated by small-scale landlords. Mom-and-pop investors (1-10 properties) own a combined 95.5% of all investor-owned SFRs, demonstrating their critical role in providing rental housing.

This market structure fundamentally challenges the narrative of corporate dominance. Institutional investors with portfolios of 1,000 or more properties control a mere 0.5% of the local investor market, with a total of just 10 homes.

The foundation of the market is the single-property landlord. This tier alone, comprising investors who own only one rental property, accounts for 1,636 homes, or 77.9% of the entire investor-owned SFR stock.

Mid-size landlords (11-1,000 properties) represent a small fraction of the market, collectively owning just 4.0% of the properties. Their limited presence reinforces the market's reliance on smaller operators.

This granular distribution, with nearly all properties held by investors with 10 or fewer units, indicates a highly decentralized and community-based rental market in Brown County.

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 majority property owner over individuals in portfolios of 11+ properties.
Detailed Findings

While individual investors dominate the Brown County market overall, a clear pattern emerges as portfolio sizes increase: companies take control at larger scales. Individuals own the vast majority of smaller portfolios, holding 92.2% of properties in the single-unit tier and 66.3% in the 6-10 unit tier.

The crossover point occurs distinctly at the 11-20 property tier. In this segment, ownership flips dramatically, with companies controlling 43 properties (74.1%) compared to just 15 held by individuals (25.9%).

This trend of corporate prevalence continues into the next tier (21-50 properties), where companies own 10 homes, representing a 76.9% majority share. This indicates a strategic threshold where investors professionalize their operations under a corporate structure.

This data reveals a lifecycle of an investor in Brown County: starting as an individual and graduating to a corporate entity as their portfolio scales beyond approximately 10 properties.

Understanding this crossover point is crucial for anyone analyzing market behavior, as it signals a shift in operational strategy, financing, and management as investors grow.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in the 45121 and 45171 zip codes, each with 401 properties.
Detailed Findings

Investor ownership in Brown County is geographically concentrated, with specific zip codes serving as hubs for activity. The zip codes 45121 and 45171 lead by volume, each containing 401 investor-owned properties, followed by 45154 with 285 properties.

While volume is concentrated in a few areas, investor ownership *rate* tells a different story. Smaller zip codes like 45119 show a remarkable 54.5% investor ownership rate, and several micro-zips (45115, 45103, 45177) report 100% investor ownership, likely due to a small number of total properties being rentals.

This highlights a key distinction: the areas with the most investor properties are not necessarily the areas with the highest percentage of investor ownership. For example, 45121 has 401 investor properties but a moderate 17.9% rate, suggesting a large overall housing stock.

In contrast, 45167 has fewer investor properties (241) but a higher penetration rate of 24.8%, indicating that investors have a proportionally larger footprint in that community.

This analysis of both count and percentage reveals distinct investment strategies, with some investors targeting larger, more liquid markets while others focus on dominating smaller, niche 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
Brown County landlords are strong net buyers, acquiring properties at a high velocity while institutions are net sellers.
Detailed Findings

Transaction data reveals a clear divergence in strategy between small and large investors in Brown County. Overall, landlords are aggressive net buyers, consistently acquiring more properties than they sell. In Q1 2026, they purchased 27 SFRs while selling only 8.

This pattern of accumulation is a long-term trend. Throughout 2025, landlords maintained their net buyer status by a wide margin, with 174 acquisitions versus only 37 sales. This indicates strong confidence in the local market among the broader investor community.

However, institutional investors with 1,000+ properties are moving in the opposite direction. They were net sellers in 2025, selling two properties for every one they purchased. This divestment trend was also present in 2024, when they sold four properties and bought only two.

This stark contrast signals a market shift where smaller, likely local, investors are absorbing properties and expanding their portfolios, while the largest national players are reducing their exposure in Brown County.

The retreat of institutional capital, coupled with the aggressive buying from smaller landlords, defines the current transaction landscape and reinforces the market's hyperlocal, decentralized character.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 19.1% of all Q1 transactions, with institutions paying 51.8% less than new landlords.
Detailed Findings

In the first quarter of 2026, landlords participated in 27 of the 141 total SFR transactions, accounting for a 19.1% share of all market activity. This demonstrates continued and significant investor involvement in the county's real estate market.

A striking pricing disparity exists between investor tiers. New landlords in the single-property tier paid the most, with an average purchase price of $259,587. This is typical for new entrants buying market-rate, rent-ready homes.

Conversely, institutional investors (1,000+ tier) paid an average of only $125,050 per property. This is a 51.8% discount compared to the prices paid by single-property landlords, indicating a vastly different acquisition strategy focused on lower-cost, potentially distressed, or bulk assets.

The data also shows that new investors are primarily buying from the open market, not from other landlords. Only 4.5% of properties purchased by single-property landlords were acquired from another investor, suggesting they are competing directly with traditional homebuyers.

The transaction volume was heavily concentrated in the smallest tier, with single-property buyers accounting for 22 of the 27 landlord transactions, while institutional investors made only two purchases.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords control 95.5% of investor housing in Brown County, OH as institutions retreat as net sellers.
Holdings
Landlords own 2,058 SFR properties in Brown County, representing 18.2% of the total market, with individual investors overwhelmingly dominating by holding 1,790 of those properties (87.0%).
Pricing
In Q1 2026, landlords secured properties at a 12.5% discount compared to traditional homeowners, paying an average of $241,410 while homeowners paid $275,942, a savings of $34,532.
Activity
Investors purchased 22.2% of all homes sold in the last quarter, with mom-and-pop investors driving 80.0% of that activity and 22 new single-property landlords entering the market.
Market Share
The market is defined by small investors, as mom-and-pop landlords (1-10 properties) control 95.5% of investor housing, while institutional investors (1000+) own just 0.5%.
Ownership Type
Individual investors are the primary owners in smaller portfolios, but companies become the majority holders in portfolios of 11 or more properties, controlling 74.1% of assets in the 11-20 tier.
Transactions
Landlords are strong net buyers (27 buys vs. 8 sells in Q1), a stark contrast to institutional investors, who have been net sellers over the past two years, signaling a strategic retreat.
Market Narrative

The investor landscape in Brown County, OH is overwhelmingly characterized by local, small-scale operators. Investors currently own 2,058 single-family residential properties, accounting for 18.2% of the county's total SFR market. This portfolio is firmly in the hands of individuals, who own 1,790 (87.0%) of these homes. The market structure is highly decentralized, with mom-and-pop landlords (1-10 properties) controlling a staggering 95.5% of all investor-owned housing, while large institutional firms (1,000+ properties) have a negligible presence, holding just 0.5%.

Investor behavior in Q1 2026 demonstrates both strategic purchasing and a clear divergence between large and small players. Landlords are active, acquiring 22.2% of all properties sold last quarter, and they do so with a distinct pricing advantage, paying 12.5% less than traditional homeowners. Transaction data reveals that landlords are aggressive net buyers, acquiring far more properties than they sell. This trend is driven entirely by smaller investors, as the few institutional players in the market have been consistent net sellers, reducing their local footprint.

The key takeaway for the Brown County housing market is that it is a community-driven rental ecosystem, not one dominated by Wall Street. The growth, activity, and housing supply are fueled by new and existing mom-and-pop investors. While they compete with homeowners for properties, they also secure them at a discount. The retreat of institutional capital alongside the continued investment by local individuals suggests a stable, resilient, and deeply localized 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 12:32 AM
Data Period Q1 2026
Geography Level County
Geography Brown (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 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 Brown (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-brown/. Licensed under CC BY-NC-ND 4.0.