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

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

Market Overview

Total SFR Properties in Wyandot (OH)
6,600
Total Investors in Wyandot (OH)
1,348
Investor Owned SFR in Wyandot (OH)
1,074(16.3%)
Individual Landlords
Landlords
1,250
SFR Owned
954
Corporate Landlords
Landlords
98
SFR Owned
138
Understanding Property Counts

Distinct Count Methodology: The total 1,074 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 control 98.2% of Wyandot County's rental market, paying premiums while institutions buy at a 72.2% discount.
Investors own 1,074 SFR properties in Wyandot County, representing 16.3% of the market. Mom-and-pop landlords dominate ownership (98.2%), while institutions hold just 0.4%. In Q1, landlords paid a 29.7% premium over homeowners, and remain net buyers, though institutions are pursuing a distinct, low-cost acquisition strategy.
Landlord Owned Current Holdings
Landlords own 1,074 SFR properties, with individual investors holding a dominant 88.8% share.
Cash is the preferred funding method, with 867 properties (80.7%) owned outright versus 207 financed properties. The portfolio is heavily rental-focused, as 1,047 properties are rented, making up 97.5% of all investor-owned homes.
Landlord vs Traditional Homeowners
Landlords paid a 29.7% premium in Q1, averaging $182,644 while homeowners paid just $140,842.
The price dynamic has flipped recently, as landlords paid steep discounts of 26.0% and 17.5% in the first half of 2025 before paying premiums in late 2025 and early 2026. The Q1 premium of $41,802 is a stark reversal from a $58,642 discount seen in Q2 2025.
Current Quarter Purchases
Landlords acquired 17.1% of all SFR properties sold in Q4, purchasing 7 of the 41 available homes.
Mom-and-pop investors drove 85.7% of landlord buying activity, acquiring 6 of the 7 properties. In contrast, institutional investors bought only 1 property. New market entrants were significant, with 7 new single-property landlords entering the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 98.2% of investor-owned SFRs in Wyandot County.
Institutional investors have a very small footprint, owning just 0.4% of the landlord-owned housing stock, or 4 properties. Single-property landlords are the market's foundation, holding 858 properties, which is 78.6% of the total investor portfolio.
Ownership by Tier & Type
Companies become the dominant owner type in the 6-10 property tier, holding 87.8% of properties in that segment.
The crossover from individual to company dominance occurs sharply at the 6-10 property portfolio size. Below this tier, individuals own the vast majority of properties, such as the 93.2% of holdings in the single-property landlord category.
Geographic Distribution
Investor activity is most concentrated in the 43351 zip code, which holds 434 investor-owned properties.
While 43351 has the highest count of investor properties, the 43330 zip code has the highest penetration rate at an extremely high 69.8%. The 44882 zip code is also notable for having both a high count (142 properties) and a high rate (22.0%).
Historical Transactions
Landlords in Wyandot County are consistent net buyers, acquiring 98 properties while selling only 17 in 2025.
In Q1 2026, landlords continued this trend, buying 9 properties and selling only 3 for a 3-to-1 buy/sell ratio. In contrast, institutional investors show neutral activity, with a net position of zero in 2025 (1 buy, 1 sell).
Current Quarter Transactions
Landlords were involved in 16.1% of all Q1 SFR transactions, accounting for 9 of the 56 total sales.
A stark pricing difference emerged: new single-property buyers paid an average of $222,429, while institutional investors paid just $61,800, a 72.2% discount. New single-property landlords sourced 28.6% of their purchases from other 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
Landlords own 1,074 SFR properties, with individual investors holding a dominant 88.8% share.
Detailed Findings

In Wyandot County, investors hold 1,074 single-family residential properties, accounting for 16.3% of the total 6,600 SFRs in the market. This presence indicates a significant but not majority investor footprint in the local housing ecosystem.

Ownership is overwhelmingly skewed towards individuals rather than companies. Individual landlords own 954 properties, which constitutes 88.8% of the investor-owned portfolio, while companies own the remaining 138 properties (12.8%).

The landlord community itself is composed of 1,250 individual landlords and 98 company landlords. This structure reinforces the narrative that the local real estate investing market is driven by small-scale, local participants rather than large corporations.

Analysis of financing reveals a strong preference for cash acquisitions. A substantial 80.7% of the portfolio (867 properties) is owned free and clear, compared to just 207 properties that are financed. This high rate of cash ownership suggests a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The primary use for these properties is clear: 1,047 of the 1,074 properties are rented. This 97.5% rental rate confirms that the investor activity in Wyandot County is almost entirely focused on providing long-term rental housing.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 29.7% premium in Q1, averaging $182,644 while homeowners paid just $140,842.
Detailed Findings

In a significant market reversal, landlords in Wyandot County paid an average price of $182,644 in Q1 2026, a 29.7% premium over the $140,842 average paid by traditional homeowners. This amounts to investors paying $41,802 more per property, challenging the common assumption that investors always secure discounts.

This trend towards paying a premium is a recent development. In Q2 2025, landlords enjoyed a 26.0% discount ($58,642 less than homeowners), and in Q1 2025, they paid 17.5% less ($27,378 discount). The shift to paying premiums of 19.4% in Q3 2025 and 29.7% in Q1 2026 indicates escalating competition for available housing stock.

Overall property values have appreciated significantly since the pandemic era. The average landlord acquisition price of $182,644 in Q1 2026 represents a 46.2% increase from the 2020-2023 average of $124,958.

The volatile gap between landlord and homeowner prices suggests that market conditions are highly dynamic. The move from substantial discounts to substantial premiums in under a year points to a tightening market where investors are willing to pay more to acquire assets.

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 17.1% of all SFR properties sold in Q4, purchasing 7 of the 41 available homes.
Detailed Findings

During Q4 2025, landlords captured a 17.1% share of the Wyandot County housing market, purchasing 7 of the 41 total SFRs sold. This level of activity establishes investors as a consistent and material source of demand.

The acquisition activity was dominated by smaller investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 6 of the 7 purchases, making up 85.7% of investor buying volume.

New investors are a key driver of market activity. The single-property tier saw 7 new entities purchase 5 properties, representing 71.4% of all landlord acquisitions. This influx of new capital at the smallest scale highlights the accessibility of the local rental market.

Institutional investors (1,000+ properties) had a minimal impact on purchasing, acquiring only a single property during the quarter. This reinforces the trend of a market controlled by smaller, local operators rather than large-scale corporate buyers.

The data shows a clear pattern: the primary source of investor demand in Wyandot County comes from individuals or small businesses either starting or modestly expanding their rental portfolios.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a staggering 98.2% of investor-owned SFRs in Wyandot County.
Detailed Findings

The ownership structure of investment properties in Wyandot County is overwhelmingly dominated by small-scale investors. Mom-and-pop landlords (Tiers 01-04, owning 1-10 properties) control 98.2% of all investor-held SFRs, a figure that underscores the local nature of the rental market. This data is highlighted in our property ownership by owner type report.

Conversely, institutional investors with portfolios exceeding 1,000 properties have a negligible presence, owning just 4 homes. This accounts for a mere 0.4% of the investor-owned market, countering the narrative of a corporate takeover of local housing.

The single-property landlord tier is the bedrock of the market. This group alone owns 858 properties, which translates to 78.6% of the entire investor-owned housing stock. The next largest tier, small landlords with 3-5 properties, holds just 9.3% of the inventory.

Pricing behavior varies dramatically by tier, based on Q1 transaction data. New single-property landlords paid an average of $222,429 for homes, while the institutional tier paid only $61,800. This 72.2% price difference suggests completely different acquisition strategies, with smaller investors competing for market-rate properties and institutions targeting lower-value assets.

Mid-size investors (11-1,000 properties) are also extremely rare, collectively owning less than 2% of the portfolio. This further reinforces the market's bifurcation between a massive base of small landlords and a tiny institutional presence.

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

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the dominant owner type in the 6-10 property tier, holding 87.8% of properties in that segment.
Detailed Findings

While individual investors dominate the Wyandot County market overall, a clear structural shift occurs as portfolios grow. Companies take majority control in the 6-10 property tier, owning 43 of the 49 properties (87.8%) in this segment.

This crossover point suggests a professionalization threshold. Investors operating portfolios of 1-5 properties are predominantly individuals, but those scaling beyond five properties tend to formalize their operations under a company structure.

At the smallest scales, individual ownership is nearly total. In the single-property tier, individuals own 810 of 858 properties (93.2%). This dominance continues through the two-property tier (77.8% individual) and the 3-5 property tier (86.3% individual).

The small-medium tier of 11-20 properties curiously reverts to individual control (92.3%), though this tier is very small with only 13 total properties, making it a statistical outlier.

Despite the company dominance in the 6-10 property tier, the sheer volume of properties in the smaller, individual-led tiers means individuals still own 88.8% of all investor SFRs in the county. The company-led segment is a small fraction of the overall market.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is most concentrated in the 43351 zip code, which holds 434 investor-owned properties.
Detailed Findings

Geographic analysis reveals distinct pockets of investor concentration within Wyandot County. The 43351 zip code is the epicenter of investor ownership by volume, containing 434 landlord-owned SFRs, which represents a 14.8% ownership rate for that area.

However, the highest rate of investor penetration occurs in the 43330 zip code, where landlords own a staggering 69.8% of the housing stock. This indicates a market almost entirely defined by rental properties.

The data highlights a common pattern where the area with the highest absolute number of investor properties is not the same as the area with the highest ownership percentage. The 43351 zip code has volume, while 43330 has density.

The 44882 zip code stands out as a strong secondary market for investors, balancing both high volume and high density. It contains the third-highest count of investor properties (142) and the fifth-highest ownership rate (22.0%).

Other areas with high investor saturation include the 43359 (33.2% rate) and 43337 (23.3% rate) zip codes, further illustrating that investor activity is not uniform across the county but focused on specific submarkets.

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 in Wyandot County are consistent net buyers, acquiring 98 properties while selling only 17 in 2025.
Detailed Findings

The transaction history for landlords in Wyandot County shows a clear and sustained pattern of portfolio accumulation. Throughout 2025, investors were strong net buyers, with 98 acquisitions against only 17 dispositions, resulting in a net gain of 81 properties.

This net buying trend continued into the new year. In Q1 2026, landlords purchased 9 SFRs while selling only 3, demonstrating a continued appetite for expansion.

Institutional investors (1000+ tier) exhibit a much more cautious and balanced approach. In 2025, this cohort was perfectly neutral, buying one property and selling one property. This stands in stark contrast to the aggressive accumulation seen across the broader landlord market.

Transaction volume appears to be moderating from its recent peak. After buying 39 properties in Q2 2025, landlord acquisition volume has steadily declined to 18 in Q3 2025 and 9 in Q1 2026, signaling a potential cooling in the pace of acquisitions.

Overall, the data paints a picture of a market where smaller, local investors are actively growing their holdings, while the largest institutional players are maintaining a stable, non-expansionary position.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 16.1% of all Q1 SFR transactions, accounting for 9 of the 56 total sales.
Detailed Findings

In the first quarter of 2026, landlords participated in 16.1% of all SFR transactions in Wyandot County, purchasing 9 of the 56 homes that sold. This share indicates steady and significant investor involvement in the local market.

A massive pricing disparity between investor tiers highlights divergent acquisition strategies. Single-property landlords, often new entrants, paid the highest average price at $222,429 per home. In sharp contrast, institutional buyers paid an average of just $61,800, a price point 72.2% lower.

This price gap suggests that mom-and-pop investors are competing for standard, market-rate homes, while institutional capital is targeting a different class of asset, likely distressed properties or those in lower-value areas that do not attract traditional homebuyers.

Small landlords also demonstrated the highest volume of activity, with the single-property tier alone accounting for 7 of the 9 investor transactions. This again points to new market entrants as the primary drivers of investor purchasing.

There is a notable level of inter-landlord trading among new buyers. Of the 7 properties bought by single-property landlords, 2 were purchased from other landlords (28.6%). This shows that a portion of the market involves the circulation of existing rental assets between investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop investors control 98.2% of Wyandot County's rental market, paying premiums while institutions buy at a 72.2% discount.
Holdings
Landlords own 1,074 SFR properties in Wyandot County, representing 16.3% of the market. The portfolio is dominated by individual investors, who hold 954 properties (88.8%) compared to 138 (12.8%) owned by companies.
Pricing
In a surprising reversal, landlords paid a 29.7% premium over traditional homeowners in Q1, with an average acquisition price of $182,644 versus the homeowner average of $140,842.
Activity
Landlords purchased 9 properties in Q1, a 16.1% share of all transactions. Activity was overwhelmingly driven by new market entrants, with 7 transactions occurring in the single-property investor tier.
Market Share
Small, 'mom-and-pop' landlords (1-10 properties) have near-total control of the market, owning 98.2% of investor-held housing. In contrast, institutional investors (1000+ properties) own just 0.4%.
Ownership Type
Individual investors are the primary owners across smaller portfolios, but companies become the majority owners (87.8%) in the 6-10 property tier, signaling a professionalization threshold.
Transactions
Landlords remain in an accumulation phase as net buyers, with a 3-to-1 buy-to-sell ratio in Q1 (9 buys vs 3 sells). Institutional investors, however, were net neutral in 2025.
Market Narrative

The investor landscape in Wyandot County, OH, is fundamentally local and small-scale. Investors own 1,074 single-family homes, or 16.3% of the total market, a significant but not overwhelming share. This portfolio is firmly in the hands of 'mom-and-pop' operators, who control a staggering 98.2% of all investor-owned properties. Individual investors account for 88.8% of these holdings, while institutional firms with over 1,000 properties have a negligible footprint of just 0.4%. This structure definitively shows a market built by community investors, not distant corporations.

Investor behavior in Q1 2026 reveals two distinct strategies at play. The dominant small investors are in an aggressive accumulation phase, acting as strong net buyers with a 3-to-1 buy/sell ratio. Unusually, they are paying a premium to acquire properties, averaging 29.7% more than traditional homeowners. This suggests intense competition for market-rate housing. In stark contrast, institutional investors are operating in a different world, paying 72.2% less than new mom-and-pop buyers, a sign they are targeting distressed or undervalued assets that don't compete with the primary housing market.

The key takeaway for Wyandot County is that its housing market dynamics are shaped by the ambitions of local, individual investors. These landlords are actively expanding their portfolios and are willing to pay a premium to do so, placing them in direct competition with typical homebuyers. The narrative of large-scale institutional takeover does not apply here; instead, the market's future will be determined by the thousands of small operators who form the backbone of the county's rental housing supply.

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 Wyandot (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
Chart Section12 Prices Detail

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