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

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

Market Overview

Total SFR Properties in Scioto (OH)
20,348
Total Investors in Scioto (OH)
5,098
Investor Owned SFR in Scioto (OH)
4,942(24.3%)
Individual Landlords
Landlords
4,622
SFR Owned
3,992
Corporate Landlords
Landlords
476
SFR Owned
985
Understanding Property Counts

Distinct Count Methodology: The total 4,942 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 Scioto County's Market, Buying at a 43.6% Discount While Institutions Retreat
Investors own 24.3% of single-family homes in Scioto County, with small landlords (1-10 properties) controlling an overwhelming 93.0% of that portfolio. In Q1, landlords purchased 31.6% of all homes sold, paying an average of 43.6% less than traditional homeowners. While smaller investors are strong net buyers, institutional firms are neutral or divesting, highlighting a market driven by local individuals.
Landlord Owned Current Holdings
Investors own 4,942 homes in Scioto County, with individual landlords holding 80.8% of the portfolio.
The market is heavily cash-driven, with 4,573 properties owned outright versus only 369 financed. Individual landlords (4,622) outnumber company landlords (476) by nearly ten to one, reinforcing the local, small-scale nature of the rental market.
Landlord vs Traditional Homeowners
In Q1, Scioto County landlords paid 43.6% less than homeowners, securing a $75,157 average discount.
This massive price gap is a consistent trend, with landlords also achieving discounts of 33.4% in Q3 2025 and an even larger 57.2% in Q2 2025. The data demonstrates a persistent and significant pricing advantage for investors in the market.
Current Quarter Purchases
Landlords acquired 31.6% of all single-family homes sold in Scioto County during the last quarter.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 89.1% of all investor purchases. In contrast, institutional investors with over 1,000 properties made up just 1.6% of acquisitions.
Ownership by Tier
Small mom-and-pop landlords control a commanding 93.0% of all investor-owned homes in Scioto County.
This dominance by small investors (1-10 properties) leaves a minimal footprint for large-scale players. Institutional investors with over 1,000 properties own just 7 homes, representing a mere 0.1% of the investor-owned market.
Ownership by Tier & Type
Companies become the majority property owners over individuals in portfolios sized at 6-10 properties.
While individuals own 92.6% of single-property portfolios, companies hold a 50.7% majority in the 6-10 property tier and expand that to 68.5% in the 11-20 property tier. This marks a clear strategic shift as portfolios grow.
Geographic Distribution
Investor activity in Scioto County is highly concentrated, with zip code 45662 holding 2,421 investor-owned homes.
Some areas show extreme investor penetration, with zip code 45630 having a 68.4% investor ownership rate. This highlights hyper-local pockets where investors own the majority of the housing stock.
Historical Transactions
Landlords in Scioto County are aggressive net buyers, acquiring 3.3 times more properties than they sold in Q1.
This trend of accumulation is consistent, with landlords also being strong net buyers throughout 2025 and 2024. In contrast, institutional investors are neutral or divesting, with 1 property bought and 1 sold in Q1.
Current Quarter Transactions
Landlord purchases accounted for 31.0% of all property transactions in Scioto County in Q1.
A significant price disparity exists, with institutional investors paying 50.6% less ($50,000) than new single-property landlords ($101,174). Mid-size landlords are most active in trading among themselves, with 50.0% of purchases in the 3-5 property tier coming from other investors.

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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 4,942 homes in Scioto County, with individual landlords holding 80.8% of the portfolio.
Detailed Findings

Investors hold a significant 24.3% of the single-family residential market in Scioto County, OH, totaling 4,942 properties out of 20,348 available homes. This indicates a substantial portion of the housing stock is utilized for rental income or investment purposes.

Individual investors are the definitive force in the market, owning 3,992 properties, which constitutes 80.8% of all landlord-owned homes. In contrast, company-owned properties number just 985, or 19.9% of the investor portfolio, challenging the narrative of corporate dominance in the local rental scene.

A defining characteristic of Scioto County's investor market is its reliance on cash. An overwhelming 4,573 properties were acquired with cash, compared to just 369 that are financed. This 12-to-1 ratio of cash-to-financed properties suggests investors have high liquidity and low leverage, potentially making the market more resilient to interest rate fluctuations.

The entity count further underscores the market's structure, with 4,622 individual landlords compared to only 476 company entities. This nearly 10-to-1 ratio of individual to corporate landlords shows that real estate investing here is primarily a pursuit of private citizens rather than large firms.

The portfolio is almost entirely focused on rentals, with 4,820 of the 4,942 investor-owned properties being non-owner-occupied. This high concentration confirms that the vast majority of investor activity directly supplies the local rental market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1, Scioto County landlords paid 43.6% less than homeowners, securing a $75,157 average discount.
Detailed Findings

Investors in Scioto County demonstrate a powerful pricing advantage, acquiring properties in Q1 2026 for an average of $97,319, a staggering 43.6% less than the $172,476 paid by traditional homeowners. This equates to a cash discount of $75,157 per property, highlighting a clear divergence in acquisition strategy and cost basis.

This price gap is not a one-time anomaly but a persistent market feature. In Q3 2025, landlords paid 33.4% less ($136,487 vs. $204,997), and in Q2 2025, the discount was an even more dramatic 57.2% ($86,062 vs. $201,088). This pattern suggests investors consistently target undervalued assets or possess superior negotiation and deal-sourcing capabilities.

While prices for all buyers have fluctuated, the investor's ability to purchase well below the typical homeowner price remains constant. This deep discount allows for potentially higher capitalization rates and return on investment, making the area attractive for cash-flow focused buyers.

The average landlord acquisition price has shown volatility, with a Year 2024 average of $127,145 compared to a 2020-2023 average of $92,390. The Q1 2026 price of $97,319 sits between these periods, indicating that while prices are up from the pandemic era, investors are still finding deals well below recent highs.

This consistent ability to acquire properties far below the market rate for homeowners is the most critical financial dynamic in the Scioto County investment landscape. It enables profitability and sustains investor interest even in a fluctuating market.

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 31.6% of all single-family homes sold in Scioto County during the last quarter.
Detailed Findings

Investor activity accounted for a substantial portion of the market in the last quarter, with landlords purchasing 61 of the 193 total SFRs sold, a market share of 31.6%. This high level of activity underscores the significant role investors play in local housing transactions.

The market's new entrants and small players are the primary drivers of acquisition volume. New single-property landlords (Tier 01) alone purchased 37 properties, representing 57.8% of all investor acquisitions for the quarter.

Combining all small-scale investors, mom-and-pop landlords (owning 1-10 properties) were responsible for 57 of the 61 total landlord purchases. This 89.1% share demonstrates that the market's transactional velocity is almost entirely dictated by smaller, local investors.

In stark contrast, institutional investors (1,000+ properties) had a negligible impact, acquiring only one property, or 1.6% of the investor total. This highlights a market devoid of significant large-scale corporate acquisition programs.

The data clearly shows a bottom-heavy market structure where growth comes from new and small investors. The entry of 46 new single-property entities in a single quarter signals a healthy and accessible market for individuals starting their investment journey.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Small mom-and-pop landlords control a commanding 93.0% of all investor-owned homes in Scioto County.
Detailed Findings

The ownership structure in Scioto County is unequivocally dominated by small-scale investors. Mom-and-pop landlords, defined as those owning between 1 and 10 properties, collectively hold 93.0% of all investor-owned SFRs. This concentration reveals a deeply fragmented market reliant on individual owners.

Single-property landlords (Tier 01) form the bedrock of this market, owning 3,543 properties, which alone accounts for 69.7% of the entire investor portfolio. This signifies that the typical landlord in Scioto County is not a mogul but an individual with a single rental property.

The presence of institutional capital is almost nonexistent. Investors in the 1,000+ property tier (Tier 09) own only 7 properties in total, a minuscule 0.1% of the investor market. This finding directly counters the widespread narrative of institutional investors taking over local housing markets.

Mid-size landlords (11-1,000 properties) also have a limited presence, collectively owning just 350 properties, or 6.8% of the investor portfolio. The data shows a steep drop-off in ownership after the 10-property mark, reinforcing the market's small-scale character.

This distribution has remained stable, indicating a long-term pattern of individual ownership rather than a recent trend. The market structure suggests a high barrier to entry for large-scale consolidation and favors investors who can manage smaller, dispersed portfolios.

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 majority property owners over individuals in portfolios sized at 6-10 properties.
Detailed Findings

A distinct crossover point exists in Scioto County where company ownership surpasses individual ownership. This transition occurs in the 6-10 property tier, where companies own 50.7% of the properties. This signals the portfolio size at which investors typically formalize their operations under a corporate structure.

For smaller portfolios, individual ownership is the standard. Individuals own 92.6% of single-property holdings and 76.8% of two-property holdings. This dominance reflects the entry-level, personal nature of smaller-scale market reports show is common.

As portfolios scale, the shift to corporate ownership becomes more pronounced. In the 11-20 property tier, companies own a commanding 68.5% of the 165 properties. This suggests that managing larger portfolios often correlates with the legal and financial advantages of incorporation.

This pattern reveals two different types of investors operating in the same market: individuals who dominate the 1-5 property space and more professionally structured companies that control the 6+ property segment.

Understanding this crossover is key to analyzing investor behavior. It indicates that as an investor's holdings grow beyond five properties, the operational complexity and financial scale often necessitate a move from personal ownership to a more formal business entity.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Scioto County is highly concentrated, with zip code 45662 holding 2,421 investor-owned homes.
Detailed Findings

Geographic analysis reveals that investor ownership in Scioto County is not evenly distributed but is instead highly concentrated in specific zip codes. The 45662 zip code is the epicenter of activity by volume, containing 2,421 investor-owned properties, which represents 27.5% of its total housing.

While 45662 leads in raw numbers, other zip codes exhibit far more intense investor saturation. For instance, in 45630, landlords own 68.4% of the properties, indicating a market where renters likely outnumber homeowners significantly. Similarly, 45677 has a 50.0% investor ownership rate.

This distinction between high-volume and high-percentage areas is critical. High-volume zip codes like 45662 represent the largest pools of rental properties, while high-percentage areas like 45630 signal markets that are fundamentally defined and shaped by investor activity.

The data quality for some zip codes (45636, 45640, 45659) shows no properties, which may indicate either very low population density or gaps in the available assessor data. The focus remains on the areas with robust data, which show clear patterns of concentration.

For investors, this geographic breakdown is crucial for a property search, highlighting specific sub-markets with either high rental density or potential for new acquisitions. It shows where to find established rental markets versus areas with different ownership dynamics.

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 Scioto County are aggressive net buyers, acquiring 3.3 times more properties than they sold in Q1.
Detailed Findings

The overall investor community in Scioto County is in a strong accumulation phase. In Q1 2026, landlords purchased 76 properties while selling only 23, resulting in a net gain of 53 properties and a buy-to-sell ratio of 3.3-to-1. This indicates strong confidence and a clear strategy of portfolio expansion.

This net-buyer behavior is a long-term trend, not a recent development. In 2025, investors bought 295 properties and sold 122 (a 2.4x ratio), and in 2024, they bought 316 and sold only 78 (a 4.1x ratio). The market has consistently absorbed more properties into investor portfolios than it has released.

A dramatic divergence appears when isolating institutional investors (1,000+ properties). In Q1 2026, this cohort was perfectly neutral, buying one property and selling one. This follows a mixed but generally flat or negative trend, including being net sellers in Q2 2025.

The contrast is stark: while thousands of small, local landlords are actively growing their holdings, the handful of large institutional players are either stagnant or trimming their small positions. This reinforces that market growth is driven from the bottom up.

This transactional data confirms the findings from the ownership tiers. The energy, capital, and growth in Scioto County's investor market come from mom-and-pop investors, who are consistently and confidently expanding their portfolios year after year.

Current Quarter Transactions

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

Key Insight
Landlord purchases accounted for 31.0% of all property transactions in Scioto County in Q1.
Detailed Findings

Investors were a major force in the Q1 transaction market, involved in 76 of the 245 total SFR sales, representing a 31.0% share. This level of participation demonstrates their integral role in market liquidity and price setting.

Transaction activity was heavily concentrated among smaller investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 68 of the 76 investor transactions, while the single institutional transaction accounted for just over 1% of investor activity.

A fascinating pricing pattern emerges by tier, revealing different acquisition strategies. New single-property landlords paid the most, at an average of $101,174. At the other extreme, the institutional investor paid just $50,000, a 50.6% discount compared to the smallest buyers. This suggests large players target deeply distressed or off-market assets not typically accessible to new entrants.

Inter-landlord trading is most common among established small-to-mid-size investors. Landlords in the 3-5 property tier acquired 50.0% of their new properties from other landlords. In contrast, new single-property investors sourced only 8.7% of their purchases from other landlords, indicating they primarily buy from homeowners.

This shows a market with distinct segments: new investors buying from the general public at higher prices, and established investors trading properties among themselves, often at different price points. The institutional player operates in its own sphere, securing the lowest-cost assets.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Command 93% of Scioto County's Investor Market, Actively Buying as Institutions Stand Still
Holdings
Landlords own 4,942 single-family homes in Scioto County, representing 24.3% of the total market. The portfolio is dominated by individual investors, who hold 3,992 properties (80.8%), while companies own the remaining 985 (19.9%).
Pricing
In Q1, landlords acquired properties for 43.6% less than traditional homeowners, an average discount of $75,157 per home ($97,319 vs. $172,476). Larger investors demonstrate even greater pricing power, paying significantly less than new entrants.
Activity
Investors purchased 31.6% of all homes sold in the last quarter, with mom-and-pop landlords (1-10 properties) driving 89.1% of this activity. The quarter saw 46 new single-property landlord entities enter the market.
Market Share
Small landlords (1-10 properties) control an overwhelming 93.0% of investor-owned housing, dwarfing the institutional share of just 0.1%. This confirms the market is defined by small, independent operators, not large corporations.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and larger. This crossover point signifies a shift from personal investment to a formal business structure as holdings grow.
Transactions
Landlords are strong net buyers with a 3.3-to-1 buy-to-sell ratio in Q1 (76 buys vs. 23 sells). In sharp contrast, institutional investors are neutral, with a 1-to-1 ratio (1 buy vs. 1 sell), indicating they are not expanding their local footprint.
Market Narrative

This Investor Pulse report for Scioto County, OH, reveals a real estate investment market fundamentally controlled by local, small-scale operators. Investors own a significant 24.3% of the single-family housing stock, totaling 4,942 properties. This portfolio is overwhelmingly held by individuals (80.8%) rather than companies (19.9%). The market structure is deeply fragmented, with mom-and-pop landlords (1-10 properties) commanding a staggering 93.0% of all investor-owned homes, while institutional firms (1,000+ properties) control a mere 0.1%, effectively rendering them irrelevant to the local market dynamics.

Investor behavior is characterized by aggressive acquisition and savvy pricing. In the most recent quarter, landlords purchased 31.6% of all homes sold and are acting as decisive net buyers, acquiring 3.3 properties for every one they sell. Their primary strategic advantage is pricing; investors paid 43.6% less than traditional homeowners in Q1, a discount of $75,157 per property. This purchasing power is even more pronounced among experienced investors, with institutional-tier buyers paying 50.6% less than new, single-property landlords. This indicates a tiered market where access to deals improves with scale and experience.

The key takeaway is that the Scioto County rental market is supplied and shaped by its own residents, not by Wall Street. The growth engine consists of new and existing small landlords continuously expanding their portfolios, while large institutions remain on the sidelines. The market's health is tied to the financial capacity of these individual investors, who demonstrate a strong preference for cash purchases and a consistent ability to find and acquire properties at a deep discount. This structure suggests a stable, locally-driven rental market that is insulated from the strategic shifts of large, national corporations.

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 12:54 AM
Data Period Q1 2026
Geography Level County
Geography Scioto (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

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

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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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

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