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

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

Market Overview

Total SFR Properties in Wood (OH)
37,554
Total Investors in Wood (OH)
7,450
Investor Owned SFR in Wood (OH)
6,138(16.3%)
Individual Landlords
Landlords
6,882
SFR Owned
5,313
Corporate Landlords
Landlords
568
SFR Owned
910
Understanding Property Counts

Distinct Count Methodology: The total 6,138 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 Wood County's market with 95.6% of rental housing, as institutions retreat as net sellers.
Investors own 6,138 SFR properties in Wood County, OH (16.3% of the market), with small landlords (1-10 properties) controlling 95.6% of that portfolio versus a mere 0.2% for institutional funds. In Q1 2026, landlords secured properties at a 27.1% discount compared to homeowners. While smaller investors are aggressive net buyers, institutional owners are net sellers, signaling a significant strategic shift in the market.
Landlord Owned Current Holdings
Investors own 6,138 SFRs in Wood County, with individual landlords holding 86.6% of properties.
Of these holdings, 3,342 properties are owned free-and-clear (cash), while 2,796 are financed. The portfolio is heavily rental-focused, with 5,981 properties (97.4%) classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords acquired Q1 properties for $230,658, a 27.1% discount compared to traditional homeowners.
This represents a significant price advantage of $85,614 per property compared to the homeowner average of $316,272. The discount has fluctuated, narrowing to 14.9% in mid-2025 before widening again, showing dynamic market conditions.
Current Quarter Purchases
Landlords purchased 22.3% of all single-family homes sold in Q4 2025.
Mom-and-pop landlords (1-10 properties) were responsible for 93.8% of these investor purchases. In contrast, institutional investors (1000+ properties) acquired just one property, accounting for only 1.6% of investor activity.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 95.6% of investor-owned SFRs.
In stark contrast, institutional investors with over 1,000 properties own just 0.2% of the investor-held housing stock, or 15 properties. Single-property landlords alone make up the largest segment, owning 75.9% of all investor properties.
Ownership by Tier & Type
The transition to majority-company ownership occurs at the 6-10 property tier.
Individuals dominate smaller portfolios, owning 92.4% of single-property holdings. However, companies become the majority (52.7%) in the 6-10 property tier and control 99.0% of portfolios in the 21-50 property range.
Geographic Distribution
Investor activity is most concentrated in zip codes 43460 and 43443.
The zip code 43460 has 300 investor-owned properties, while 43443 has 225. Notably, 43443 has one of the highest penetration rates, with investors owning 31.1% of the housing stock. The zip code 43420 reports 100% investor ownership, likely a very small area with few properties.
Historical Transactions
Landlords are strong net buyers, acquiring 13.7 properties for every one they sold in Q1 2026.
This trend is driven by smaller investors, as institutional funds (1000+ properties) are consistent net sellers, divesting a net of 4 properties in 2025 and 7 in 2024. This signals a clear divergence in strategy between small and large investors.
Current Quarter Transactions
Landlords were involved in 20.8% of all property transactions in Q1 2026.
During these transactions, institutional investors paid a 102.8% premium, with an average price of $500,000, compared to the $246,588 paid by single-property landlords. Only 7.1% of single-property landlord purchases were from other investors, showing a reliance on the open market.

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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 6,138 SFRs in Wood County, with individual landlords holding 86.6% of properties.
Detailed Findings

In Wood County, OH, investors hold a significant 16.3% share of the single-family residential market, totaling 6,138 properties. This highlights a robust rental market and a notable level of real estate investment activity within the total market of 37,554 SFR homes.

Individual investors are the definitive force in the local market, owning 5,313 properties, which constitutes 86.6% of all investor-owned SFRs. In contrast, company-owned properties number just 910, or 14.8%, challenging the narrative of corporate dominance in residential real estate.

A deeper look at the entities themselves reveals an even wider gap. There are 6,882 individual landlords compared to only 568 company landlords. This 12-to-1 ratio of individual to company entities underscores the granular, community-level nature of property investment in the area.

In terms of financing, cash is king, with 3,342 properties owned outright, surpassing the 2,796 properties that are financed. This suggests many landlords have significant equity and may be less sensitive to interest rate fluctuations.

The portfolio's primary function is clear, as 5,981 properties (97.4%) are rented (non-owner-occupied). This near-total focus on rental income generation confirms that these holdings are active investments rather than secondary homes, a key insight available in a property ownership by owner type report.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired Q1 properties for $230,658, a 27.1% discount compared to traditional homeowners.
Detailed Findings

Investors in Wood County demonstrate a consistent ability to acquire properties at a significant discount. In Q1 2026, landlords paid an average of $230,658, which is 27.1% less than the $316,272 paid by traditional homeowners, saving an average of $85,614 on each purchase.

The price gap between landlords and homeowners is dynamic, not static. After reaching a high of 36.7% in Q1 2025, the discount narrowed to 14.9% in Q2 2025 before expanding again. This volatility suggests that investor purchasing power and strategies adapt quickly to changing market conditions.

Comparing prices over time reveals market shifts. The average landlord acquisition price in Q1 2026 ($230,658) is lower than the prices seen throughout most of 2025, which peaked at $294,511 in Q2. This could signal a cooling market or investors targeting lower-priced assets.

The persistent discount suggests investors are more adept at finding off-market deals, negotiating better terms, or targeting properties that require renovation, which may have a lower initial purchase price. This specialized approach separates them from the average homebuyer in the retail market.

Utilizing an automated valuation (AVM) model can help identify these pricing discrepancies, but the consistent gap indicates investors are leveraging more than just data, likely relying on networks and direct outreach to secure favorable terms.

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 purchased 22.3% of all single-family homes sold in Q4 2025.
Detailed Findings

Investor activity accounted for a substantial portion of the market in Q4 2025, with landlords acquiring 63 of the 282 total SFRs sold, capturing a 22.3% market share. This level of activity underscores their importance in local market liquidity.

The vast majority of purchasing activity is driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) made 60 of the 63 investor purchases, representing 93.8% of the investment volume. This indicates the market's growth is fueled from the ground up.

New entrants are a powerful force, with 70 entities making 55 single-property purchases in the quarter. This tier alone accounted for 85.9% of all properties bought by investors, signaling a healthy influx of new capital from first-time landlords.

Institutional buying activity is minimal. Investors in the 1,000+ property tier purchased only one home, or 1.6% of the investor total. This starkly contrasts with the high volume from small landlords and challenges the perception that large corporations are driving market acquisitions.

The data reveals a clear pattern: the typical real estate investor in Wood County is not a large fund but an individual or small business. The acquisitions are concentrated in the smallest tiers, with Tiers 01-04 responsible for nearly 94% of all landlord purchases.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 95.6% of investor-owned SFRs.
Detailed Findings

The ownership structure of rental properties in Wood County is overwhelmingly dominated by small investors. Mom-and-pop landlords, defined as those owning 1-10 properties, control a massive 95.6% of all investor-owned SFRs, making them the backbone of the rental market.

The largest portion of this group consists of single-property landlords (Tier 01), who alone own 4,769 properties. This represents 75.9% of the entire investor portfolio, indicating that the market is highly decentralized and reliant on small-scale participants.

Mid-size landlords (11-1,000 properties) collectively own just 4.2% of the investor-owned housing supply. This segment, while more professionalized, has a limited footprint compared to the massive base of smaller owners.

Institutional ownership is nearly non-existent in Wood County. Investors in the 1,000+ property tier hold only 15 properties, a minuscule 0.2% of the total investor portfolio. This finding directly counters the narrative of large-scale corporate consolidation in the single-family rental space.

This distribution has significant implications for the local housing market, suggesting that rental stock is managed by a wide array of local stakeholders rather than a few remote corporations. These trends are often explored in detailed market reports that analyze investor concentration.

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
The transition to majority-company ownership occurs at the 6-10 property tier.
Detailed Findings

Ownership structure shifts dramatically as portfolio sizes increase. While individual investors form the base of the market, companies become the dominant owner type in larger portfolios. The crossover point occurs in the 6-10 property tier, where companies own 52.7% of properties.

Individuals overwhelmingly control the entry-level tiers. They own 92.4% of single-property portfolios and 82.2% of two-property portfolios, showing that the path to becoming a landlord typically starts with personal ownership before incorporation.

Once an investor's portfolio grows beyond a few properties, a shift to corporate ownership is evident. In the 11-20 property tier, companies own 82.2% of the homes, and this concentration intensifies to 99.0% in the 21-50 property tier. This suggests a professionalization trend where investors use corporate structures for liability and operational efficiency.

Despite this trend, individuals are still present even in larger portfolios. For example, individuals own 47.3% of properties in the 6-10 property tier, indicating that not all mid-sized investors choose to incorporate immediately.

This clear pattern of professionalization highlights a lifecycle for real estate investors in Wood County, from individual ownership for smaller portfolios to corporate structures for larger, more complex operations. This data provides a roadmap for how investors scale their businesses.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in zip codes 43460 and 43443.
Detailed Findings

Investor ownership in Wood County is not evenly distributed but concentrated in specific zip codes. The highest volume of investor-owned properties is found in 43460, with 300 SFRs, followed closely by 43443 with 225 properties. These areas represent the core of local rental market activity.

High concentration doesn't always mean a high ownership rate. While 43460 has the most investor properties, its ownership rate is 13.9%. In contrast, 43443 has a much higher penetration rate of 31.1%, indicating one in three homes there is investor-owned.

One zip code, 43420, stands out with a 100.0% investor ownership rate. This is likely an outlier, representing a small geographic area with very few total properties, such as a duplex or a small multi-unit development classified as SFRs, which has been fully acquired by investors.

The provided data for other zip codes like 43412, 43506, and 43528 appears incomplete, showing 'nan' for property counts. A complete analysis would require filling in these gaps, but the available data clearly points to 43460 and 43443 as the primary hubs for rental properties.

Identifying these pockets of high activity is crucial for investors. Using a property search tool filtered by geography can reveal opportunities in these concentrated submarkets where rental demand is likely strong.

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
Landlords are strong net buyers, acquiring 13.7 properties for every one they sold in Q1 2026.
Detailed Findings

The overall investor market in Wood County is in a strong accumulation phase. In Q1 2026, landlords purchased 82 properties while selling only 6, making them decisive net buyers. This trend was consistent through 2025, when they acquired 419 properties and sold just 80.

However, this aggregate trend masks a critical divergence. Institutional investors (1,000+ tier) are actively divesting from the market. In 2025, they were net sellers with a deficit of 4 properties (2 buys vs. 6 sells), a pattern that continued from 2024 when they had a net of -7 properties (4 buys vs. 11 sells).

This indicates that the net buying activity is entirely driven by small and mid-sized landlords who are absorbing properties, including those being sold by larger funds. It's a clear transfer of assets from institutional holders to smaller, likely more local, operators.

The data from 2025 Q2 for institutional investors shows a neutral position, with 2 properties bought and 2 sold. However, the annual figures for both 2024 and 2025 confirm a broader strategic retreat from the Wood County market by these large-scale players.

This dynamic, where mom-and-pop investors are expanding while institutional investors contract, is a key market narrative. It suggests confidence among smaller players and a potential strategic reallocation of capital away from this market by larger funds.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 20.8% of all property transactions in Q1 2026.
Detailed Findings

In Q1 2026, investors were a significant force in the market, participating in 82 of the 394 total SFR transactions, a share of 20.8%. This activity level demonstrates their role in maintaining market liquidity and price discovery.

A massive price disparity exists between the smallest and largest investors. Single-property landlords (Tier 01) acquired homes for an average of $246,588. In stark contrast, institutional investors (Tier 09) paid $500,000 for their single acquisition, a premium of 102.8%, suggesting they target different asset classes or higher-value properties.

The bulk of transaction volume came from mom-and-pop landlords (Tiers 01-04), who were responsible for 77 of the 82 investor transactions. This reinforces that market activity, like ownership, is concentrated among smaller players.

Inter-landlord trading appears to be limited. Among the most active group, single-property buyers, only 5 of their 70 transactions (7.1%) involved purchasing from another landlord. This indicates that most new and small investors are acquiring property from traditional homeowners, not from a closed investor-to-investor market.

The largest tiers (those above 10 properties) reported zero purchases from other landlords in Q1. This could suggest that larger, more established investors have different acquisition channels, such as off-market deals or direct-to-seller marketing, rather than buying from other rental operators via the MLS.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords cement control of Wood County's rental market with 95.6% ownership as institutional investors divest.
Holdings
Landlords own 6,138 single-family residential properties in Wood County, OH, representing 16.3% of the total market. Individual investors are the dominant force, holding 5,313 of these properties (86.6%) compared to just 910 (14.8%) owned by companies.
Pricing
In Q1 2026, investors demonstrated significant purchasing power, paying 27.1% less than traditional homeowners. This amounted to an average discount of $85,614 per property, with landlords paying $230,658 versus the homeowner average of $316,272.
Activity
Investors were highly active, purchasing 22.3% of all SFRs sold in Q4 2025. This activity was overwhelmingly driven by the smallest investors, with 70 new single-property landlord entities entering the market during the quarter.
Market Share
The market is highly decentralized, with small mom-and-pop landlords (1-10 properties) controlling an overwhelming 95.6% of investor-held housing. In contrast, large institutional investors (1,000+ properties) hold a mere 0.2% share.
Ownership Type
Individual ownership is the standard for new investors, but a clear professionalization trend emerges as portfolios grow. Companies become the majority owners once a portfolio reaches the 6-10 property tier and control over 99% of portfolios with more than 20 properties.
Transactions
Overall, landlords are aggressive net buyers with 13.7 purchases for every sale in Q1 2026. However, this is driven by small investors, as institutional funds are actively divesting and have been consistent net sellers over the past two years.
Market Narrative

The single-family rental market in Wood County, OH is defined by the dominance of small, independent investors. Landlords own 6,138 properties, comprising 16.3% of the county's total SFR housing stock. The ownership base is overwhelmingly composed of individuals, who hold 86.6% of these assets. A detailed analysis of portfolio sizes reveals that mom-and-pop landlords (1-10 properties) control a staggering 95.6% of investor-owned homes, while institutional firms with over 1,000 properties have a negligible footprint of just 0.2%.

Investor behavior highlights a market of savvy, cost-conscious operators who are actively expanding their holdings. In Q1 2026, landlords participated in 20.8% of all transactions and demonstrated a distinct pricing advantage, acquiring properties for 27.1% less than traditional homeowners, an average discount of $85,614. This activity is fueled by a starkly divergent trend: small investors are aggressive net buyers, acquiring 13.7 properties for every one sold, while institutional capital is retreating, with large funds consistently posting net sales over the past two years.

The key takeaway for the Wood County housing market is that its rental landscape is decentralized and controlled by local stakeholders, not distant corporations. This structure fosters a resilient rental supply and challenges the prevailing narrative of institutional consolidation. The ongoing transfer of properties from large funds to smaller landlords suggests a shift toward more granular, community-integrated ownership, reinforcing the importance of the individual in the local real estate investing ecosystem. This dynamic indicates a healthy, ground-up market where opportunities for new and existing small investors remain abundant.

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 12:59 AM
Data Period Q1 2026
Geography Level County
Geography Wood (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
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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How to cite this report

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