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

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

Market Overview

Total SFR Properties in Monroe (OH)
3,960
Total Investors in Monroe (OH)
1,343
Investor Owned SFR in Monroe (OH)
1,119(28.3%)
Individual Landlords
Landlords
1,253
SFR Owned
1,014
Corporate Landlords
Landlords
90
SFR Owned
114
Understanding Property Counts

Distinct Count Methodology: The total 1,119 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 97.6% of Monroe County's Rental Market, Actively Buying at a 20% Discount
In Monroe County, OH, investors own 1,119 SFRs (28.3% of the market), a segment dominated by individuals (90.6%) and small landlords (97.6%). In Q1 2026, investors purchased properties at a 20.2% discount to homeowners and continued as strong net buyers, while institutional presence remains non-existent.
Landlord Owned Current Holdings
Investors own 1,119 SFRs in Monroe County, with individual landlords holding a dominant 90.6% share.
The vast majority of these properties (1,017) are owned outright with cash, compared to only 102 being financed. Nearly all investor properties (1,090) are classified as rented, indicating a strong focus on buy-and-hold strategies.
Landlord vs Traditional Homeowners
In Q1 2026, landlords bought properties for $135,333, a 20.2% discount compared to traditional homeowners.
The price advantage for landlords fluctuates wildly, from a massive 53.7% discount in Q1 2025 to paying a 9.4% premium in Q2 2025. Prices have more than doubled from the 2020-2023 average of $62,638, showing significant appreciation.
Current Quarter Purchases
Landlords acquired 20.0% of all SFR properties sold in Q4 2025, purchasing 4 of the 20 homes on the market.
Mom-and-pop investors were responsible for 100% of landlord purchasing activity, with zero acquisitions from institutional investors. All 4 properties were bought by new, single-property landlords, indicating market entry.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 97.6% of all investor-owned SFRs in Monroe County.
Single-property landlords are the bedrock of the market, alone owning 71.4% of the rental stock (841 properties). Institutional investors (1000+ tier) have zero presence in terms of property ownership.
Ownership by Tier & Type
Individual investors dominate small portfolios, while ownership evens out to a 50/50 split with companies at the 6-10 property tier.
Individuals own over 90% of properties in the 1-5 property range. The 50/50 split in two consecutive mid-size tiers (6-10 and 11-20 properties) marks a clear transition point where corporate structures become common.
Geographic Distribution
Investor activity is heavily concentrated in the 43793 zip code, home to 349 investor-owned properties.
While 43793 has the highest count, the 43752 zip code is 100% investor-owned, and 43786 has a 71.4% investor saturation rate. The top 5 zip codes by count all have investor ownership rates between 23.7% and 34.6%.
Historical Transactions
Landlords in Monroe County are aggressive net buyers, acquiring 5 properties while selling only 2 in Q1 2026.
This net buying trend is consistent, with a 6.8x buy-to-sell ratio in 2025 and an 11x ratio in 2024. In contrast, the only institutional activity recorded in 2025 showed them as net sellers (1 buy vs. 2 sells).
Current Quarter Transactions
Investors were involved in 21.7% of all Q1 2026 SFR transactions, making 5 of the 23 total purchases.
Mom-and-pop investors drove 100% of this activity, with all 5 purchases made by single-property landlords. A significant portion of their inventory (40.0%) was acquired from other existing landlords.

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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 1,119 SFRs in Monroe County, with individual landlords holding a dominant 90.6% share.
Detailed Findings

Investors own a significant 28.3% of all single-family residential properties in Monroe County, totaling 1,119 homes out of a market of 3,960.

The local real estate investing landscape is defined by individual ownership. 'Mom-and-pop' investors own 1,014 properties (90.6%), vastly outnumbering the 114 properties (10.2%) held by companies.

Ownership is highly fragmented across 1,343 distinct landlord entities, with 1,253 of those being individuals. This high number of entities relative to properties suggests a prevalence of co-ownership arrangements.

Cash is the preferred method of acquisition and holding for Monroe County investors. A remarkable 90.9% of investor-owned properties (1,017 out of 1,119) are held free of financing, with only 102 properties carrying a mortgage.

The portfolio is heavily geared toward rental income, with 1,090 properties (97.4% of all investor holdings) classified as rented. This signals a clear focus on long-term buy-and-hold strategies over short-term flips.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords bought properties for $135,333, a 20.2% discount compared to traditional homeowners.
Detailed Findings

Landlords in Monroe County secured a strong purchasing advantage in Q1 2026, paying an average of $135,333. This represents a $34,171 (20.2%) discount compared to the $169,504 paid by traditional homeowners.

The investor discount is highly volatile quarter-to-quarter. It peaked at an enormous 53.7% in Q1 2025 ($49,333 vs $106,479) but completely inverted in Q2 2025, when investors surprisingly paid a 9.4% premium ($139,583 vs $127,575).

Property values for investors have surged since the pandemic era. The average acquisition price of $135,333 in Q1 2026 is 116.1% higher than the 2020-2023 average of $62,638, signaling rapid market appreciation.

The largest dollar-value discount for investors occurred in Q3 2025, when they saved an average of $83,012 per property compared to what homeowners paid during the same period.

Despite fluctuating discounts, the data clearly shows investors consistently find and close deals at prices unavailable to the general public, a key component of their strategy.

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 20.0% of all SFR properties sold in Q4 2025, purchasing 4 of the 20 homes on the market.
Detailed Findings

Investors captured one-fifth of the market in Q4 2025, purchasing 4 of the 20 total SFRs sold for a market share of 20.0%.

Recent acquisition activity was exclusively driven by new entrants. All 4 properties were purchased by landlords in the 'single-property' tier, pointing to an influx of first-time investors into the Monroe County market.

Small 'mom-and-pop' landlords (owning 1-10 properties) accounted for 100% of all investor purchases this quarter, underscoring the complete absence of mid-size or institutional buyers.

Institutional investors (1000+ properties) made no acquisitions, reinforcing the grassroots, localized nature of real estate investment in this area.

The data also reveals a co-ownership structure in at least one transaction, as the 4 properties acquired were purchased by 5 distinct entities.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 97.6% of all investor-owned SFRs in Monroe County.
Detailed Findings

The investor market in Monroe County is overwhelmingly dominated by small-scale operators. Landlords owning 1-10 properties, commonly known as 'mom-and-pops', control 97.6% of all investor-held SFRs.

First-time or single-property landlords represent the largest single segment, holding 841 properties. This accounts for 71.4% of the entire investor portfolio, as detailed in the property ownership by owner type report.

The market structure reveals a steep drop-off in ownership as portfolio sizes increase. Landlords with 1-5 properties collectively control a combined 96.1% of the rental stock.

There is no institutional investor footprint in Monroe County's SFR market. The 1000+ property tier owns 0.0% of properties, directly countering the common narrative of large corporations controlling local housing.

Even mid-size landlords (11-50 properties) are a niche segment, controlling just 2.4% of the market with a combined total of 28 properties.

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 dominate small portfolios, while ownership evens out to a 50/50 split with companies at the 6-10 property tier.
Detailed Findings

A distinct ownership transition occurs as investor portfolios expand. While individuals own over 90% of properties in the 1-5 unit tiers, ownership becomes evenly split 50/50 between individuals and companies for landlords with 6-10 properties.

This 50/50 ownership pattern continues directly into the next tier (11-20 properties). This suggests that holding around 6 properties is the primary threshold where investors in Monroe County adopt corporate structures for liability or financial reasons.

The smallest investors are almost exclusively individuals. In the dominant single-property tier, individuals own 786 properties (92.5%) compared to just 64 (7.5%) for companies, which are likely single-asset LLCs.

The data shows a strong, persistent preference for individual ownership overall. Companies only reach parity in mid-sized portfolios and never achieve a majority stake in any tier.

The largest concentration of individual-owned properties is in the 3-5 property tier (138 properties), while the largest company concentration is in the single-property tier (64 properties).

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in the 43793 zip code, home to 349 investor-owned properties.
Detailed Findings

Investor ownership is highly concentrated geographically. The 43793 zip code is the clear epicenter of activity, with 349 landlord-owned homes, which is 31.2% of all investor properties in the county.

Several smaller zip codes exhibit extreme investor saturation. Notably, OH-Monroe-43752 is 100.0% investor-owned, and OH-Monroe-43786 has a 71.4% investor ownership rate, indicating highly targeted investment pockets.

The regions with the highest property counts are not the same as those with the highest ownership rates. The top zip by count (43793) has a 23.7% investor-owned rate, whereas smaller zips have much deeper market penetration.

The top five zip codes by property count (43793, 43946, 43915, 43716, and 43754) collectively hold 846 properties, accounting for a massive 75.6% of all investor-owned SFRs in the county.

High investor penetration is a common feature across leading areas. The top five zip codes by ownership percentage all have rates above 40%, signaling deep investor focus in specific sub-markets.

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 Monroe County are aggressive net buyers, acquiring 5 properties while selling only 2 in Q1 2026.
Detailed Findings

Landlords in Monroe County are consistently in acquisition mode. They posted a strong net buyer position in Q1 2026 with 5 purchases versus only 2 sales, signaling continued confidence in the market.

This buying trend has been remarkably consistent for years. In 2025, landlords bought 61 properties while selling just 9 (a 6.8 to 1 ratio), and in 2024 they bought 55 while selling only 5 (an 11 to 1 ratio).

While the broader landlord market is accumulating properties, the lone data point for institutional transactions from 2025 indicates the opposite. In that year, they were net sellers, with 1 purchase and 2 sales.

Transaction volume among landlords peaked in Q2 2025, which saw 23 properties purchased, marking the highest level of recent activity.

The steady, high ratio of buys to sells over multiple years signals a long-term bullish sentiment among the local and regional investors who dominate the Monroe County housing market.

Current Quarter Transactions

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

Key Insight
Investors were involved in 21.7% of all Q1 2026 SFR transactions, making 5 of the 23 total purchases.
Detailed Findings

Investors accounted for 21.7% of all SFR transactions in Q1 2026, purchasing 5 of the 23 homes that changed hands during the period.

New, small-scale investors were the only active buyers this quarter. All 5 transactions were executed by landlords in the single-property tier, who paid an average price of $135,333.

A substantial 40.0% of investor acquisitions were landlord-to-landlord deals. Two of the 5 properties were purchased from existing investors, indicating a healthy level of liquidity and churn within the investor community.

There were zero transactions from mid-size or institutional investors, confirming that recent market activity is entirely concentrated at the smallest end of the landlord spectrum.

The transaction data mirrors ownership patterns, showing that growth in Monroe County's investor market is fueled by a steady stream of new entrants rather than portfolio expansion from existing large players.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small investors dominate Monroe County's market, controlling 97.6% of rentals and actively buying at a 20% discount.
Holdings
Landlords own 1,119 SFR properties in Monroe County, OH (28.3% of the market), with individual investors holding a commanding 1,014 properties (90.6%) compared to companies owning just 114 (10.2%).
Pricing
Landlords secured a significant 20.2% price discount in Q1 2026, paying an average of $135,333 per property compared to $169,504 for traditional homeowners, a savings of $34,171.
Activity
In the latest quarter, landlords acquired 20.0% of all for-sale properties (4 purchases), with 100% of this activity coming from new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 97.6% of investor-owned housing, while institutional investors have zero presence (0.0%).
Ownership Type
Individual investors command the market, but companies establish an equal 50/50 ownership foothold in portfolios sized at 6-10 properties, marking a clear transition to corporate structures.
Transactions
Landlords are strong net buyers with a 2.5x buy/sell ratio in Q1 2026 (5 buys vs 2 sells), a consistent trend from prior years, while the only institutional activity on record shows them as net sellers.
Market Narrative

This market report for Monroe County, OH, reveals a housing market where small, individual investors are the dominant force. Landlords own 1,119 single-family properties, representing a significant 28.3% of the total market. This portfolio is overwhelmingly controlled by individuals (90.6%) and 'mom-and-pop' landlords with 1-10 properties (97.6%), while institutional investors with over 1,000 properties have no presence at all. The data shows a market built on local, small-scale ownership, directly challenging the narrative of corporate landlord takeover.

Investor behavior is characterized by strategic acquisition and long-term holds. In the most recent quarter, landlords captured 20.0% of all sales, driven entirely by new entrants buying their first rental property. They consistently purchase at a discount, securing properties in Q1 2026 for 20.2% less than traditional homeowners. Furthermore, the real estate investor community is in a clear accumulation phase, maintaining a multi-year trend of being strong net buyers, with a 2.5-to-1 buy-to-sell ratio in Q1 2026.

The key takeaway from Monroe County is the resilience and dominance of the small landlord. The market is highly fragmented, localized, and growing from the ground up with new investors. With nearly all investor properties held as rentals (97.4%) and financed with cash (90.9%), the foundation is stable and focused on providing rental housing. For those analyzing the market, the story is not one of institutional consolidation, but of sustained, grassroots investment from individuals deeply embedded in the local community. These various property datasets provide a clear picture of this dynamic.

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 12:48 AM
Data Period Q1 2026
Geography Level County
Geography Monroe (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
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 Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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