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

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

Market Overview

Total SFR Properties in Morrow (OH)
9,663
Total Investors in Morrow (OH)
860
Investor Owned SFR in Morrow (OH)
595(6.2%)
Individual Landlords
Landlords
771
SFR Owned
503
Corporate Landlords
Landlords
89
SFR Owned
93
Understanding Property Counts

Distinct Count Methodology: The total 595 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

Morrow County's Investor Market Freezes in Q1 2026, Dominated by Small Landlords Holding 98% of Properties
Investors own 595 single-family properties in Morrow County, representing 6.2% of the total market. The landscape is overwhelmingly controlled by mom-and-pop landlords (98.3% of holdings), with individuals owning 84.5% of all investor properties. The market saw a complete halt in activity in Q1 2026, with zero landlord purchases or sales, a stark contrast to the net buying seen in 2024.
Landlord Owned Current Holdings
Investors hold 595 SFR properties in Morrow County, with individuals owning 84.5% of the portfolio.
The majority of investor properties, 562 in total, are owned outright with cash, while only 33 are financed. Across the portfolio, 568 properties are classified as rentals. Individual investors are the most common entity type, with 771 individual landlords compared to 89 company landlords.
Landlord vs Traditional Homeowners
No landlord acquisition pricing data is available for recent periods due to zero purchase activity in Morrow County.
There were no recorded landlord or traditional homeowner purchases in the available timeframes to compare prices or analyze trends. Historical data from 2020-2024 also shows zero landlord acquisitions, preventing any analysis of price appreciation or discount gaps.
Current Quarter Purchases
Landlords made zero SFR purchases in Q1 2026, representing 0.0% of a completely inactive market.
With no transactions recorded, both mom-and-pop and institutional landlord purchases were zero. Consequently, no new single-property landlords entered the market this quarter. The data reflects a total freeze in investor acquisition activity.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control 98.3% of investor-owned SFRs in Morrow County.
Single-property landlords alone own 545 properties, a remarkable 91.4% of the entire investor portfolio. In contrast, institutional investors with over 1,000 properties hold just 2 homes, representing a minimal 0.3% share.
Ownership by Tier & Type
Individual investors own 87.9% of single-property portfolios, while companies control 83.3% of large (101-1000) portfolios.
The crossover point where companies become the majority owner occurs in the 3-5 property tier, holding a 56.5% share. Individuals dominate the smallest tiers, while company ownership becomes more prevalent as portfolio sizes increase.
Geographic Distribution
The 43338 zip code holds the highest count of investor properties at 230, while 43325 has the highest concentration at 32.4%.
The top five zip codes by investor ownership percentage all show significant investor penetration, ranging from 20.0% to 32.4%. This contrasts with areas like 43334, which has a high count of 76 properties but a much lower ownership rate of 4.3%.
Historical Transactions
Landlords in Morrow County were strong net buyers in 2024, with a buy-to-sell ratio of 7.2 to 1.
In 2024, investors acquired 72 properties while selling only 10, resulting in a net gain of 62 properties to their portfolios. Data on institutional-only transactions is not available for comparison. Information on landlord-to-landlord transactions is also unavailable.
Current Quarter Transactions
Zero landlord transactions occurred in Q1 2026, resulting in a 0.0% share of a dormant market.
Activity was non-existent across all investor tiers, from single-property owners to institutional players. Consequently, no purchase price comparisons can be made between tiers, and there was no inter-landlord trading activity during the quarter.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors hold 595 SFR properties in Morrow County, with individuals owning 84.5% of the portfolio.
Detailed Findings

In Morrow County, investors hold a total of 595 Single-Family Residential (SFR) properties, accounting for 6.2% of the county's 9,663 SFRs. This indicates a modest but present investor footprint within the local housing market.

The ownership structure is heavily skewed towards individuals over corporations. Individual investors own 503 properties, or 84.5% of the total investor portfolio, while companies own the remaining 93 properties (15.6%). This composition underscores the dominance of smaller, private landlords in the local real estate investing scene.

A significant financial characteristic of this market is the preference for cash ownership. A staggering 562 of the 595 investor-owned properties are held free and clear, with only 33 properties reported as financed. This suggests a low-leverage strategy among local investors, potentially indicating financial stability and a long-term holding approach.

The portfolio is primarily composed of rental properties, with 568 of the 595 homes being non-owner-occupied. This high concentration confirms that the vast majority of investor activity is focused on providing rental housing to the community.

By entity count, the market is composed of 860 distinct landlords. Reflecting the property ownership split, 771 are individual landlords and 89 are registered as companies, a ratio of nearly 9 to 1. This highlights the granular, small-scale nature of property investment in Morrow County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No landlord acquisition pricing data is available for recent periods due to zero purchase activity in Morrow County.
Detailed Findings

Analysis of acquisition pricing is unavailable for Morrow County due to a complete absence of landlord purchase transactions in Q1 2026 and preceding periods. This lack of activity prevents any direct price comparison between landlords and traditional homeowners.

The data for 2024 and the 2020-2023 period also report zero properties purchased by landlords, indicating a prolonged period of inactivity or data scarcity. Consequently, it is not possible to determine if landlords historically paid a premium or a discount compared to other buyers.

Without transaction data, trends in the price gap between investor and homeowner purchases cannot be established. The market dynamics that typically reveal whether investors are securing off-market deals or competing at retail prices are not visible.

Similarly, it is impossible to assess price appreciation from the pandemic-era (2020-2023) to the current quarter. The lack of purchase benchmarks in these timeframes means no growth or decline in acquisition costs can be calculated for investor-held properties.

The absence of purchasing data across all recent timeframes suggests that the investor market in Morrow County has been dormant in terms of new acquisitions, with portfolio growth potentially coming from earlier periods not covered in this analysis.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords made zero SFR purchases in Q1 2026, representing 0.0% of a completely inactive market.
Detailed Findings

The first quarter of 2026 was marked by a complete standstill in Morrow County's SFR market, with zero total purchases recorded. Consequently, landlords acquired 0 properties, accounting for 0.0% of all market activity.

This market freeze affected all investor tiers equally. Mom-and-pop landlords (1-10 properties) and institutional investors (1000+ properties) both recorded zero new acquisitions, indicating a broad-based pause in investment across the board.

No new landlords entered the market in Q1 2026. The count for new single-property entities (Tier 01) was zero, suggesting that conditions were not favorable for first-time investors to make a purchase.

The lack of activity in the quarter provides a stark contrast to national trends and highlights a period of extreme illiquidity or stability in the local market, where no properties changed hands via recorded sales.

Without any purchase volume, it is impossible to analyze which investor tiers were most active. The data points to a market where potential buyers and sellers were not transacting, leading to a temporary halt in capital deployment by real estate investors.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control 98.3% of investor-owned SFRs in Morrow County.
Detailed Findings

The investor landscape in Morrow County is dominated by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties, collectively control 98.3% of all investor-owned SFRs, demonstrating a highly fragmented and localized ownership structure.

The concentration at the smallest end of the spectrum is profound. Landlords with just a single property (Tier 01) hold 545 homes, which constitutes 91.4% of the entire investor-owned portfolio. This signifies that first-time or small-scale real estate investors form the bedrock of the rental market.

Mid-size landlords (11-1000 properties) have a very small presence, collectively owning just 8 properties, or 1.4% of the investor-held stock. This thin middle tier reinforces the market's polarization between single-property owners and a handful of other participants.

Institutional investors (Tier 09, 1000+ properties) have a negligible footprint in Morrow County, owning only 2 properties for a 0.3% market share. This data challenges the narrative of large corporate ownership and confirms the market is almost entirely composed of local, small investors.

Due to the lack of recent transaction data, comparing acquisition prices by tier is not possible. The existing ownership structure, however, suggests that the market's character is shaped by the decisions and strategies of hundreds of individual, small-portfolio owners rather than large, centralized 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 87.9% of single-property portfolios, while companies control 83.3% of large (101-1000) portfolios.
Detailed Findings

Ownership patterns in Morrow County show a clear divide based on portfolio size. Individual investors are the primary owners in smaller tiers, holding 479 of the 545 single-property portfolios (87.9%) and 12 of the 15 two-property portfolios (80.0%).

A distinct shift occurs as portfolios grow. Companies become the majority owners starting in the 3-5 property tier, where they hold 13 properties (56.5%). This trend continues, with companies owning 66.7% of properties in the 6-10 tier and a commanding 83.3% in the 101-1000 tier.

This crossover signals a strategic transition where investors managing larger portfolios are more likely to use a corporate structure for liability, financing, or operational purposes. The market begins with individuals and professionalizes as it scales.

The overwhelming majority of investor-owned properties (503 of 595) are held by individuals, but this is heavily weighted by their dominance in the single-property tier. The data on larger tiers reveals that corporate structures are the preferred vehicle for portfolio growth in this market.

Pricing differences between individual and company buyers within each tier cannot be analyzed due to the absence of recent transaction data. However, the ownership structure suggests different operational strategies are at play depending on the owner type and scale.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 43338 zip code holds the highest count of investor properties at 230, while 43325 has the highest concentration at 32.4%.
Detailed Findings

Investor activity in Morrow County shows significant geographic concentration at the zip code level. The 43338 area is the leader in sheer volume, with 230 investor-owned SFRs, representing 7.9% of that zip code's housing stock.

However, the highest market penetration is found elsewhere. The 43325 zip code has the highest investor ownership rate at 32.4%, indicating that nearly one-third of SFRs in that area are investor-owned. This is followed closely by 43317 (28.4%) and 43350 (23.5%).

There is a clear distinction between regions with the highest absolute count of investor properties and those with the highest percentage. For example, 43334 has the third-highest count with 76 properties, but its investor ownership rate is a modest 4.3%, well below the county's most concentrated areas.

This pattern suggests different investment strategies are at play across the county. Some areas, like 43338, attract a large number of investors in a bigger market, while smaller areas like 43325 and 43317 are significant hotspots for rental investment relative to their size.

The data for zip code 43074 is incomplete, but the remaining top regions by percentage demonstrate that investor ownership is not uniform and that certain neighborhoods are clear targets for rental property acquisition.

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 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords in Morrow County were strong net buyers in 2024, with a buy-to-sell ratio of 7.2 to 1.
Detailed Findings

Historical transaction data from 2024 reveals a period of aggressive accumulation by landlords in Morrow County. Investors purchased 72 properties while only selling 10, demonstrating a clear net-buyer position and signaling confidence in the local market during that year.

The buy-to-sell ratio of 7.2 to 1 in 2024 underscores the strong acquisition appetite. For every property an investor sold, more than seven were purchased, leading to a significant expansion of rental housing stock under investor ownership.

This net buying activity from 2024 provides a crucial historical context for the complete market freeze observed in Q1 2026. It shows that the recent inactivity is a sharp deviation from prior-year trends rather than a long-term characteristic of the market.

Specific data for institutional-grade (1000+ tier) investors is not available, so their contribution to the 2024 buying surge cannot be isolated. Given their minimal overall ownership (0.3%), their transaction volume was likely negligible.

Information regarding the percentage of transactions that occurred between landlords is also unavailable. This prevents an analysis of market liquidity and the degree to which investors were trading assets amongst themselves versus acquiring properties from homeowners.

Current Quarter Transactions

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

Key Insight
Zero landlord transactions occurred in Q1 2026, resulting in a 0.0% share of a dormant market.
Detailed Findings

In Q1 2026, the Morrow County real estate market experienced a complete halt in transactional activity, with zero total SFR sales recorded. As a result, landlords were involved in 0 transactions, holding a 0.0% share of the market.

This inactivity was universal across all investor sizes. Transaction volumes for mom-and-pop landlords (Tiers 01-04) and institutional investors (Tier 09) were both zero, indicating no segment of the investor community was buying or selling property.

Given the lack of purchases, it is impossible to analyze pricing strategies. Average purchase prices by tier, including any premium or discount paid by the smallest versus largest investors, cannot be calculated for the quarter.

Inter-landlord trading, a key indicator of portfolio repositioning and market liquidity, was also at a standstill. The data shows zero properties were bought from other landlords, as no buy-side transactions occurred at all.

The Q1 2026 data paints a picture of a market in a temporary state of suspension. This lack of transactions is the most significant finding, contrasting sharply with the net buying behavior observed in 2024 and suggesting a dramatic shift in market conditions or sentiment.

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Executive Summary

Morrow County's investor market, 98% controlled by small landlords, experienced a complete transaction freeze in Q1 2026.
Holdings
Landlords own 595 SFR properties, representing 6.2% of Morrow County's market, with individual investors holding a dominant 84.5% (503 properties) and companies owning 15.6% (93 properties).
Pricing
No pricing comparison between landlords and homeowners is possible for Q1 2026, as zero sales transactions were recorded for either group during the period.
Activity
Investor purchase activity was nonexistent in Q1 2026, with landlords acquiring 0 properties (0.0% of all sales) and no new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) assert near-total control with 98.3% of investor housing, while institutional investors (1000+) have a minimal presence at just 0.3%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios starting at the 3-5 property tier, signaling a shift to corporate structures as holdings scale.
Transactions
While landlords were strong net buyers in 2024 with a 7.2x buy/sell ratio (72 buys vs 10 sells), the market froze in Q1 2026 with zero landlord transactions.
Market Narrative

In Morrow County, Ohio, the market report reveals a landscape defined by small, independent investors and a recent, dramatic halt in activity. Landlords currently hold 595 single-family residential properties, accounting for 6.2% of the county's total SFR stock. The ownership structure decisively refutes the notion of corporate dominance; individual investors own 84.5% of these homes, while mom-and-pop landlords (1-10 properties) collectively control a staggering 98.3% of the entire investor-owned portfolio. In stark contrast, institutional-scale investors own just 0.3%, highlighting a market built on grassroots investment.

Investor behavior has shifted dramatically. After a year of strong accumulation in 2024, where landlords were net buyers with a 7.2-to-1 buy/sell ratio, the market came to a complete standstill in the first quarter of 2026. There were zero recorded SFR purchases or sales by investors during this period. This freeze prevented any analysis of acquisition pricing against homeowners, a key metric of investor strategy. The data also shows portfolios are financed conservatively, with 562 of 595 properties owned outright with cash.

The key takeaway for Morrow County is its character as a stable, small-investor market that has entered a period of extreme illiquidity. The dominance of mom-and-pop owners who hold their properties with little to no leverage suggests a community of long-term holders rather than short-term speculators. The abrupt stop in transactions in Q1 2026, following a year of active buying, signals a significant shift in local market conditions or sentiment that has paused the flow of capital, making it a critical trend to monitor moving forward.

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 12:49 AM
Data Period Q1 2026
Geography Level County
Geography Morrow (OH)
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Chart Section2 Coverage
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 Trends
Chart Section6 Trends
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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
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
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 Institutional
Chart Section11 Institutional
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Chart Section11 Institutional Price
Chart Section11 Institutional Price

Licensing & Usage Rights

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How to cite this report

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