Brown (OH) Investor Pulse Report (2025-Q4)

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)
11,163
Total Investors in Brown (OH)
2,644
Investor Owned SFR in Brown (OH)
2,061(18.5%)
Individual Landlords
Landlords
2,449
SFR Owned
1,805
Corporate Landlords
Landlords
195
SFR Owned
288
Understanding Property Counts

Distinct Count Methodology: The total 2,061 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, Securing 18.0% Q4 Price Discounts
In Brown County, OH, landlords own 2,061 SFR properties, representing 18.5% of the market, overwhelmingly dominated by individual investors (87.6%). Landlords consistently secured an average 18.0% discount in Q4 2025 compared to homeowners, driving Q4 activity where they accounted for 23.5% of all SFR purchases. While landlords are strong net buyers overall with a 4.1x buy/sell ratio, institutional investors are notably net sellers in the county.
Landlord Owned Current Holdings
Individual Landlords Own 87.6% of Brown County's 2,061 Investor-Owned SFR Properties
The vast majority of investor-owned SFR properties (2,018 properties) are rented in Brown County, OH. A significant 64.1% (1,322 properties) were acquired with cash, while 35.8% (739 properties) are financed, highlighting diverse acquisition strategies. Individual landlords comprise 92.6% of all landlord entities in the county.
Landlord vs Traditional Homeowners
Brown County Landlords Secured 18.0% Discount in Q4, Paying $48,388 Less Than Homeowners
The landlord price advantage fluctuated significantly in 2025; after a substantial 39.4% discount in Q1, landlords paid a slight 0.1% premium in Q3, before securing an 18.0% discount again in Q4. Landlord average acquisition prices ranged from a low of $166,306 in Q1 to a high of $287,012 in Q3 2025, demonstrating market volatility. Although no properties were recorded as purchased by landlords in Q4 2025, the overall trend shows landlords often acquire properties at a lower price point than traditional homeowners.
Current Quarter Purchases
Landlords Accounted for 23.5% of Q4 SFR Purchases in Brown County, OH
Mom-and-pop landlords (Tiers 01-04) dominated Q4 purchases, comprising 90.9% of all landlord acquisitions, with 30 properties bought. Single-property landlords (Tier 01) were the most active, acquiring 21 properties by 29 entities, reinforcing their crucial role in market activity. Institutional investors (Tier 09) had minimal activity, purchasing only 1 property (3.0% of landlord acquisitions) in Q4.
Ownership by Tier
Mom-and-Pop Landlords Control 96.1% of Brown County's Investor-Owned Housing Portfolio
Single-property landlords (Tier 01) form the backbone of the market, holding 78.0% of all investor-owned properties (1,644 properties). Institutional investors (Tier 09, 1000+ properties) control a marginal 0.4% of the market (8 properties), challenging perceptions of large-scale corporate dominance. This extreme concentration among smaller investors indicates a highly fragmented and locally-driven rental market in Brown County, OH.
Ownership by Tier & Type
Companies Become Majority Owners Beyond 10 Properties in Brown County, OH
Individual investors overwhelmingly dominate smaller portfolios, holding 92.7% of single-property (Tier 01) investments and 82.5% of two-property (Tier 02) portfolios. The crossover point occurs in the small-medium landlord category (Tier 11-20), where companies own 71.4% of properties, compared to individuals' 28.6%. This reveals a clear shift in ownership structure as portfolio size increases, moving from individual to corporate dominance at larger scales.
Geographic Distribution
OH-Brown-45121 Leads Brown County with 410 Investor-Owned Properties
While OH-Brown-45121 has the highest count of investor-owned properties at 410, OH-Brown-45103 and OH-Brown-45177 exhibit the highest investor ownership rates, both at 100.0%. This indicates a strong geographic concentration of investor activity, with some zip codes having nearly complete investor control, likely due to smaller total housing stock. OH-Brown-45167 also shows a high ownership rate of 24.5% with 237 properties.
Historical Transactions
Brown County Landlords Are Strong Net Buyers with a 4.1x Buy/Sell Ratio in Q4
Landlords in Brown County made 41 purchases compared to 10 sales in Q4 2025, indicating aggressive accumulation. In contrast, institutional investors (1000+ tier) are net sellers, completing 1 purchase against 2 sales in Q4, signaling a divestment strategy. This divergence highlights a strong market belief among smaller landlords, while larger entities are retreating.
Current Quarter Transactions
Landlords Accounted for 19.6% of all Q4 Transactions in Brown County, OH
Mom-and-pop landlords (Tier 01-04) dominated Q4 transactions, comprising 38 of the 41 landlord transactions, reaffirming their market activity. Institutional investors (Tier 09) had minimal transaction volume, with only 1 transaction recorded. Institutional buyers secured properties at an average of $116,666, a significant 47.9% discount compared to the $224,138 paid by single-property landlords, indicating their ability to find lower-priced deals.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Individual Landlords Own 87.6% of Brown County's 2,061 Investor-Owned SFR Properties
Detailed Findings

Individual investors overwhelmingly dominate the SFR rental market in Brown County, OH, controlling 1,805 properties, which accounts for 87.6% of the 2,061 total investor-owned SFR properties. In contrast, company-owned properties represent a smaller 14.0% share, with 288 properties.

The landlord portfolio in Brown County is primarily focused on rental income, with 2,018 properties designated as rented, demonstrating a high utilization rate of investor-owned homes for the rental market.

A significant majority of investor acquisitions in Brown County, OH are cash-based, with 1,322 properties (64.1%) purchased outright, suggesting a preference for avoiding financing costs or a stronger capital position among investors. The remaining 739 properties (35.8%) are financed.

Despite the smaller property count, company landlords represent a notable 7.4% of all landlord entities in Brown County, OH (195 entities out of 2,644), indicating a higher average portfolio size per company compared to individual landlords.

The prevalence of individual landlords, totaling 2,449 entities, signals that the SFR rental market in Brown County, OH, is largely sustained by a broad base of smaller-scale, local investors rather than concentrated corporate entities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Brown County Landlords Secured 18.0% Discount in Q4, Paying $48,388 Less Than Homeowners
Detailed Findings

In Q4 2025, landlords in Brown County, OH, purchased properties at an average price of $220,087, securing an impressive $48,388 discount, or 18.0% less, than traditional homeowners who paid $268,475. This indicates a strong ability by landlords to acquire properties below market average for owner-occupants.

The landlord-homeowner price gap exhibited significant volatility throughout 2025 in Brown County. Landlords enjoyed a substantial 39.4% discount in Q1, narrowing to a 1.7% discount in Q2, and even paying a marginal 0.1% premium in Q3 before the significant 18.0% discount reappeared in Q4, highlighting dynamic market conditions.

Acquisition prices for all buyers, including landlords and homeowners, saw notable fluctuations in Brown County, OH, in 2025, with landlord prices ranging from a low of $166,306 in Q1 to a high of $287,012 in Q3, reflecting varying market values across the year.

The consistent pattern of landlords paying less than traditional homeowners in Brown County for three out of four quarters in 2025 (Q1, Q2, Q4) suggests a strategic advantage or different property selection criteria, allowing them to capitalize on lower-priced opportunities.

Despite zero reported landlord purchases in Q4 2025 in section6-1.csv, the Q4 pricing data from section6-2.csv reveals the potential price advantage when landlords are active, suggesting a favorable buying environment for investors capable of identifying undervalued assets.

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 Accounted for 23.5% of Q4 SFR Purchases in Brown County, OH
Detailed Findings

Landlords in Brown County, OH, were significant players in the Q4 2025 market, accounting for 32 distinct SFR purchases, which represents 23.5% of all 136 SFR properties transacted. This demonstrates that investor activity is a substantial component of the county's housing market.

Mom-and-pop landlords, encompassing Tiers 01-04, overwhelmingly drove Q4 purchases in Brown County, acquiring 30 properties, which constitutes 90.9% of all landlord purchases. This highlights the foundational role of smaller investors in the local market dynamics.

The single-property landlord tier (Tier 01) proved to be the most active segment during Q4 in Brown County, with 29 entities acquiring 21 properties. This indicates a robust entry of new, smaller-scale investors or the expansion of existing single-property portfolios.

In stark contrast to the mom-and-pop dominance, institutional investors (Tier 09, 1000+ properties) showed minimal purchasing activity in Brown County during Q4, acquiring only 1 property, which represents a mere 3.0% of all landlord purchases. This suggests a cautious or limited presence of large-scale entities in this market.

The distribution of Q4 purchases across tiers reveals that smaller landlords (Tiers 01-05) are the primary drivers of acquisition volume in Brown County, with 32 properties purchased by these tiers, emphasizing a decentralized investor market.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-Pop Landlords Control 96.1% of Brown County's Investor-Owned Housing Portfolio
Detailed Findings

Mom-and-pop landlords (Tiers 01-04) collectively dominate the SFR investment landscape in Brown County, OH, controlling an impressive 96.1% of all investor-owned properties, totaling 2,025 properties. This figure underscores their overwhelming presence compared to larger investors.

The single-property landlord tier (Tier 01) alone represents the vast majority of holdings, with 1,644 properties, accounting for 78.0% of the total investor-owned SFR portfolio in Brown County. This indicates that first-time and small-scale landlords are the primary custodians of the rental market.

Institutional investors (Tier 09, 1000+ properties) maintain a negligible footprint in Brown County, OH, controlling only 8 properties, which equates to a mere 0.4% of the total investor-owned SFR portfolio. This sharply contrasts with narratives of institutional takeovers in housing markets.

The distribution reveals a steep drop-off in property counts as portfolio size increases; for example, from 1,644 properties in Tier 01, it drops to 137 in Tier 02, and further to just 8 in Tier 09, showcasing a pyramid structure heavily weighted towards smaller investors.

The market structure in Brown County, OH, is highly fragmented, with 2,025 properties owned by mom-and-pop landlords, suggesting a resilient, locally-driven rental economy less susceptible to the movements of large corporate players.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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 Majority Owners Beyond 10 Properties in Brown County, OH
Detailed Findings

In Brown County, OH, individual investors are the predominant owners in smaller portfolio tiers, holding 92.7% of single-property (Tier 01) SFRs (1,545 properties) and 82.5% of two-property (Tier 02) SFRs (113 properties). This confirms the widespread presence of individual, small-scale landlords.

A clear crossover in ownership type occurs as portfolio size increases: individual investors maintain majority ownership up to the 6-10 property tier (61.4% individual), but companies become the majority owners in the 11-20 property tier, controlling 71.4% of properties (35 properties).

Companies exhibit a strong concentration in larger portfolio tiers, owning 71.4% of properties in the 11-20 tier (35 properties) and further escalating to 75.0% in the 21-50 property tier (9 properties). This indicates that larger portfolios are primarily managed by corporate entities.

Despite the overall dominance of individual investors in property count, the increasing share of company ownership in higher tiers signals a strategic shift towards more formalized investment structures for larger portfolios in Brown County, OH.

The data highlights that while 'mom-and-pop' investors are the backbone of the market by volume, 'company' investors are crucial for understanding the dynamics of mid-to-large scale portfolio management within the county.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
OH-Brown-45121 Leads Brown County with 410 Investor-Owned Properties
Detailed Findings

In Brown County, OH, the zip code 45121 stands out as the epicenter of investor activity, harboring the highest count of landlord-owned properties at 410, representing an 18.4% investor ownership rate. This signifies a concentrated area for rental property investment within the county.

Despite 45121 leading in raw property count, the zip codes 45103 and 45177 show an extraordinary 100.0% investor ownership rate, suggesting that nearly all SFR properties in these smaller areas are owned by investors. This highlights unique, highly penetrated micro-markets within Brown County.

Other significant areas for investor-owned properties by count include 45171 with 387 properties (22.6% rate), 45154 with 296 properties (14.4% rate), and 45167 with 237 properties (24.5% rate), collectively indicating several key hubs for landlord activity in the county.

The distinction between high property count and high ownership percentage regions reveals different investment strategies; areas like 45121 offer larger markets for volume, while 45103 and 45177 represent niche markets with saturated investor presence.

The geographic distribution in Brown County, OH, points to specific target areas for investors, where a combination of existing landlord presence and potential rental demand is likely concentrated, driving both acquisition counts and market penetration rates.

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 with a 4.1x Buy/Sell Ratio in Q4
Detailed Findings

Landlords in Brown County, OH, are currently robust net buyers, demonstrated by their 41 purchases against only 10 sales in Q4 2025, yielding a strong 4.1x buy-to-sell ratio. This consistent net buying trend extends throughout 2025, with 157 purchases versus 35 sales for the entire year, signaling aggressive portfolio expansion.

In stark contrast to overall landlord activity, institutional investors (1000+ properties) in Brown County, OH, are net sellers. In Q4 2025, they completed 1 purchase and 2 sales, resulting in a net divestment of 1 property. This pattern is consistent for the full year 2025, with 1 purchase and 2 sales, and for 2024 with 2 purchases and 4 sales.

The average buy price for all landlords in Q4 2025 was $220,087, while the average sell price was $225,500. This relatively small difference, with sales slightly higher than buys, suggests that landlords are either selling older, appreciated assets or acquiring new properties at a discount.

The consistent net buyer position of all landlords in Brown County for both 2024 (155 buys vs 36 sells) and 2025 (157 buys vs 35 sells) indicates a sustained positive sentiment and growth in the landlord-owned SFR sector over the past two years.

The diverging transaction patterns between individual landlords (net buyers) and institutional investors (net sellers) in Brown County highlights a split market strategy, where smaller players are accumulating, and larger entities are strategically shedding assets.

Current Quarter Transactions

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

Key Insight
Landlords Accounted for 19.6% of all Q4 Transactions in Brown County, OH
Detailed Findings

Landlords played a substantial role in Brown County, OH's Q4 2025 real estate market, engaging in 41 transactions, which represents 19.6% of the total 209 SFR transactions during the quarter. This signifies that investor activity forms a crucial part of the overall market liquidity.

Mom-and-pop landlords (Tiers 01-04) were overwhelmingly active in Q4 transactions in Brown County, accounting for 38 out of the 41 landlord transactions. This reinforces their dominance in market participation, both in terms of ownership and transaction volume.

Institutional investors (Tier 09, 1000+ properties) recorded minimal activity in Q4 transactions, with only 1 transaction. This indicates a very limited transactional presence of large-scale corporate entities in Brown County during this period.

A notable pricing disparity exists among different investor tiers in Q4 Brown County transactions: single-property landlords (Tier 01) paid an average of $224,138, while the institutional investor (Tier 09) paid significantly less at $116,666, representing a 47.9% discount. This suggests that larger investors may target distressed or specific lower-value assets.

Inter-landlord trading was relatively low in Q4 transactions; single-property landlords bought only 2 properties (6.9%) from other landlords, with other tiers showing no recorded inter-landlord purchases, implying that most landlord acquisitions came from traditional homeowners or other non-landlord sellers.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Brown County's SFR Market Driven by Mom-and-Pop Landlords Securing Deep Discounts
Holdings
Landlords in Brown County, OH, own 2,061 SFR properties, accounting for 18.5% of the total SFR market, with individual investors holding a dominant 1,805 properties (87.6%) compared to companies at 288 properties (14.0%).
Pricing
Landlords in Brown County paid an average of $220,087 in Q4 2025, securing an impressive $48,388 discount, or 18.0% less, than traditional homeowners who paid $268,475.
Activity
Q4 2025 saw landlords purchase 32 properties, representing 23.5% of all SFR sales in Brown County, with 29 new single-property landlords entering the market.
Market Share
Small landlords (1-10 properties) control an overwhelming 96.1% of investor-owned housing in Brown County, while institutional investors (1000+ properties) own a negligible 0.4%.
Ownership Type
Individual investors hold the vast majority of smaller portfolios (87.6% of properties), but companies assume majority ownership in portfolios exceeding 10 properties in Brown County, OH.
Transactions
Landlords in Brown County are significant net buyers with a 4.1x buy/sell ratio in Q4 (41 buys vs 10 sells), while institutional investors are net sellers (1 buy vs 2 sells).
Market Narrative

In Brown County, OH, the single-family residential (SFR) rental market is overwhelmingly driven by individual, small-scale investors. Landlords collectively own 2,061 SFR properties, constituting 18.5% of the county’s total SFR market. An impressive 87.6% of these properties, totaling 1,805, are held by individual investors, with mom-and-pop landlords (1-10 properties) controlling 96.1% of the entire investor-owned portfolio, significantly dwarfing the 0.4% held by institutional investors. This market structure highlights a highly localized and fragmented rental housing ecosystem.

Investor behavior in Brown County demonstrates strategic acquisition and pricing advantages. In Q4 2025, landlords secured properties at an average price of $220,087, a substantial 18.0% discount compared to the $268,475 paid by traditional homeowners. This ability to acquire properties below market rate contributes to their sustained activity, as landlords accounted for 23.5% of all SFR purchases in Q4, with new single-property landlords being the primary drivers. Overall, landlords are strong net buyers with a 4.1x buy-to-sell ratio, actively expanding their portfolios, though institutional investors are notably net sellers in the county.

The data reveals a resilient and localized investment market in Brown County, OH, where individual investors play a critical role in providing rental housing, often acquiring properties more efficiently than owner-occupants. This fragmentation means the market is less susceptible to the broad strategic shifts of large institutional players, who have a minimal and even divesting presence. The high concentration of ownership among smaller landlords suggests a stable, community-centric rental supply that operates distinctively from larger, institutionalized markets across the United States.

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 18, 2026 at 07:37 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyBrown (OH)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4