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

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

Market Overview

Total SFR Properties in Highland (OH)
11,013
Total Investors in Highland (OH)
2,400
Investor Owned SFR in Highland (OH)
1,949(17.7%)
Individual Landlords
Landlords
2,207
SFR Owned
1,642
Corporate Landlords
Landlords
193
SFR Owned
337
Understanding Property Counts

Distinct Count Methodology: The total 1,949 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 Dominate Highland County with 94% Ownership as Institutions Hunt for Deep Discounts
Investors own 1,949 SFR properties in Highland County (17.7% of the market), with small mom-and-pop landlords controlling a staggering 93.8% of that portfolio. In Q1 2026, landlords acquired properties at an 11.6% discount compared to homeowners and remain strong net buyers, while institutional investors demonstrate a highly selective strategy, paying 71.0% less than new landlords.
Landlord Owned Current Holdings
Investors hold 1,949 SFR properties, with individual landlords owning a commanding 84.2% of the portfolio.
Cash is the preferred financing method, with 1,296 cash-bought properties, nearly double the 653 that are financed. The investor portfolio is overwhelmingly rental-focused, with 1,889 properties identified as rented, representing 96.9% of all landlord-owned homes.
Landlord vs Traditional Homeowners
Landlords paid 11.6% less than homeowners in Q1 2026, securing an average discount of $23,703 per property.
The price gap between landlords and homeowners has narrowed significantly; in Q2 2025, landlords enjoyed a 34.8% discount ($85,014), which shrank to 11.6% by Q1 2026. This indicates a more competitive purchasing environment.
Current Quarter Purchases
Landlords captured 24.6% of all SFR sales in the most recent quarter, purchasing 28 of the 114 homes sold.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 26 of the 28 investor purchases (92.9%). The market also saw 28 new single-property landlords enter, signaling strong grassroots interest in real estate investment.
Ownership by Tier
Mom-and-pop investors (1-10 properties) control a staggering 93.8% of all investor-owned SFRs in Highland County.
This market structure marginalizes large investors, with the institutional tier (1,000+ properties) owning just 13 properties, a mere 0.6% of the total investor portfolio. First-time landlords alone, those with a single property, own 76.2% of all investor-held homes.
Ownership by Tier & Type
Companies assume majority ownership at the 6-10 property tier, holding 52.3% of homes in that segment.
Despite this crossover, individuals maintain a strong presence across all tiers, owning 77.3% of properties in the 11-20 tier. Individual investors overwhelmingly dominate the entry-level, owning 91.5% of all single-property landlord portfolios.
Geographic Distribution
Investor activity is highly concentrated, with the 45133 zip code containing 955 investor-owned homes, 49.0% of the county's total.
However, the highest investor penetration rate is in the 45155 zip code, where 39.0% of all homes are investor-owned. The 45123 zip code ranks high in both metrics, with 489 properties and a 23.0% ownership rate.
Historical Transactions
Landlords are aggressive net buyers, acquiring 4.2 properties for every 1 they sold in Q1 2026.
This trend is consistent, with a buy-to-sell ratio of 3.6 to 1 for all of 2025. In contrast, institutional investors (1,000+ tier) were recently net sellers, divesting more properties than they acquired in Q3 2025.
Current Quarter Transactions
Landlords were involved in 25.6% of all Q1 2026 home transactions, making 42 purchases out of 164 total sales.
Institutional buyers paid 71.0% less than new landlords this quarter ($62,000 vs $213,986), a massive price gap. Two-property landlords sourced 100% of their acquisitions from other investors, signaling portfolio trading activity.

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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 1,949 SFR properties, with individual landlords owning a commanding 84.2% of the portfolio.
Detailed Findings

In Highland County, investors hold a significant 17.7% share of the single-family residential market, totaling 1,949 properties out of 11,013 available. This highlights a substantial presence of real estate investing activity shaping the local housing landscape.

The ownership structure is heavily skewed towards individuals over corporations. Individual landlords own 1,642 properties, accounting for 84.2% of the investor-owned portfolio, while companies own the remaining 337 properties (17.3%).

A similar pattern emerges when looking at landlord entities. Of the 2,400 distinct landlords in the county, 2,207 are individuals and only 193 are companies, reinforcing the 'mom-and-pop' character of the local rental market.

Cash transactions dominate investor holdings. There are 1,296 cash-owned properties, far surpassing the 653 properties that are financed. This 2-to-1 cash-to-finance ratio suggests that a majority of investors have high liquidity and are less reliant on traditional lending.

The portfolio is almost entirely dedicated to rentals. With 1,889 properties classified as rented, 96.9% of investor-owned homes are not occupied by their owners, underscoring a clear focus on generating rental income.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 11.6% less than homeowners in Q1 2026, securing an average discount of $23,703 per property.
Detailed Findings

In Q1 2026, landlords demonstrated a distinct pricing advantage, acquiring properties for an average of $180,518 while traditional homeowners paid $204,221. This represents a substantial 11.6% discount, or a savings of $23,703 per home.

The landlord discount has been a consistent trend, though its magnitude has varied. The price gap was significantly wider in mid-2025, reaching a peak of 34.8% ($85,014) in Q2 2025. The narrowing of this gap to 11.6% in the most recent quarter suggests increasing competition for available inventory.

Acquisition prices have shown steady appreciation over the past several years. The average price paid by landlords during the 2020-2023 period was $126,295, which climbed to $142,700 in 2024 and reached an average of $180,518 in the first quarter of 2026.

This quarter-over-quarter price increase reveals a heated market. Landlord acquisition prices jumped from $143,329 in Q1 2025 to $180,518 in Q1 2026, a significant increase that outpaces the price growth for traditional homeowners in the same period.

The ability to secure properties below the typical market rate remains a key strategic advantage for investors in Highland County, even as the market becomes more competitive and the size of that discount shrinks.

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 captured 24.6% of all SFR sales in the most recent quarter, purchasing 28 of the 114 homes sold.
Detailed Findings

Investor activity accounted for nearly a quarter of all single-family home purchases in the last quarter, with landlords acquiring 28 of the 114 properties sold. This 24.6% market share indicates a robust and active investor presence in Highland County.

The overwhelming majority of this purchasing activity comes from small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 92.9% of all investor acquisitions, purchasing 26 of the 28 homes.

New entrants are a primary driver of market activity. A total of 28 new landlord entities made their first purchase, acquiring 19 properties. This continuous influx of first-time investors underscores the accessibility of the local market.

In stark contrast, institutional-level buying was minimal. Investors in the 1,000+ property tier acquired just one property, representing only 3.6% of landlord purchases. This highlights a market dominated by small players rather than large corporations.

The data clearly shows that the new wave of investment is led by individuals. Single-property landlords alone bought 19 homes (67.9% of the total), reinforcing that the market's growth is fueled by small, independent operators.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors (1-10 properties) control a staggering 93.8% of all investor-owned SFRs in Highland County.
Detailed Findings

The investor landscape in Highland County is overwhelmingly dominated by small-scale operators. Landlords owning between 1 and 10 properties, commonly known as mom-and-pops, control 93.8% of all investor-owned single-family homes.

Single-property landlords form the bedrock of this market. This group alone owns 1,535 properties, which constitutes a massive 76.2% share of the entire investor portfolio, demonstrating that the barrier to entry for property ownership is relatively low.

Conversely, institutional ownership is almost nonexistent. The largest tier of investors (1,000+ properties) holds just 13 homes, representing a fractional 0.6% of the market. This finding directly counters the common narrative of large corporations controlling residential housing.

Mid-size landlords (11-1,000 properties) also have a limited footprint, collectively owning just 123 properties, or 6.1% of the investor-owned housing stock. The market clearly favors smaller, more localized investment strategies.

The data paints a clear picture of a decentralized market where ownership is widely distributed among a large number of small investors, rather than concentrated in the hands of a few large 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
Companies assume majority ownership at the 6-10 property tier, holding 52.3% of homes in that segment.
Detailed Findings

While individual investors dominate the overall market, companies become the majority owners in portfolios of 6-10 properties. In this specific tier, companies own 34 homes (52.3%) compared to the 31 owned by individuals (47.7%), marking a clear strategic crossover point.

At the entry level, individual ownership is nearly absolute. Among landlords with a single property, 1,428 are individuals (91.5%) versus just 133 companies (8.5%). This underscores that the path to real estate investment in Highland County typically begins with personal, not corporate, capital.

Even as portfolio sizes grow, individual investors remain highly competitive. For landlords owning 3-5 properties, individuals hold a 77.8% majority. Surprisingly, this trend continues into the 11-20 property tier, where individuals still own 77.3% of the homes.

The two-property tier also shows strong individual dominance, with individuals owning 98 properties (79.0%) compared to 26 properties (21.0%) for companies. This indicates that scaling from one to two properties is a common path for individual investors.

The data suggests a market structure where individuals build small-to-medium portfolios, while corporate entities tend to enter at a slightly larger scale, becoming dominant only in the 6-10 property segment before individual ownership patterns re-emerge in the next tier up.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 45133 zip code containing 955 investor-owned homes, 49.0% of the county's total.
Detailed Findings

Geographic concentration is a defining feature of investor ownership in Highland County. A single zip code, 45133, accounts for nearly half of all investor-owned properties, with 955 homes, though its investor ownership rate is a more moderate 16.7%.

The areas with the highest investor penetration rates are different from those with the highest raw counts. The 45155 zip code leads the county with a 39.0% investor ownership rate, followed by 45132 (35.7%) and 45172 (31.4%), indicating these are hotspot markets for rental activity.

Only one zip code, 45123, appears in the top five for both total investor properties (489) and ownership percentage (23.0%). This makes it a balanced hub of significant investor activity and high market penetration.

The top five zip codes by property count collectively hold 1,830 properties, representing 93.9% of the entire investor portfolio in the county. This extreme concentration suggests that investors are targeting very specific neighborhoods and communities.

This analysis reveals two distinct geographic strategies: one focused on acquiring volume in a large, established area (45133), and another focused on achieving high market density in smaller, possibly emerging, rental markets (45155, 45132).

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 aggressive net buyers, acquiring 4.2 properties for every 1 they sold in Q1 2026.
Detailed Findings

Landlords in Highland County are consistently expanding their portfolios, acting as strong net buyers across all recent timeframes. In Q1 2026, they purchased 42 properties while selling only 10, resulting in a net gain of 32 properties and a 4.2x buy-to-sell ratio.

This aggressive accumulation has been a long-term trend. For the full year of 2025, landlords acquired 151 properties and sold 42, for a net increase of 109 properties. The activity in 2024 was similar, with 111 buys and 47 sells, a net gain of 64 properties.

Institutional investors (1,000+ tier) exhibit a starkly different, more cautious behavior. In Q3 2025, this cohort was a net seller, acquiring only one property while selling two. This divergence suggests that the largest players are strategically trimming their portfolios while smaller investors expand.

Despite their recent selling, institutional investors were slight net buyers over a longer period. For the full year 2025, they bought 4 properties and sold 2, indicating a highly selective and tactical approach to acquisitions and divestitures.

The market dynamic is clear: the overall growth in investor ownership is being fueled by smaller landlords who are actively accumulating properties, while the few institutional players are taking a more measured, and at times contractionary, stance.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 25.6% of all Q1 2026 home transactions, making 42 purchases out of 164 total sales.
Detailed Findings

In Q1 2026, investors accounted for 25.6% of all property transactions, purchasing 42 of the 164 single-family homes sold. This sustained level of activity confirms their role as a major force in the local real estate market.

A dramatic pricing disparity exists between investor tiers. New, single-property landlords paid the most, with an average purchase price of $213,986. In sharp contrast, the one institutional purchase was for just $62,000, a staggering 71.0% discount compared to the entry-level buyer.

This price gap reveals fundamentally different acquisition strategies. Mom-and-pop buyers appear to be competing in the open market, while the institutional player is likely targeting distressed or off-market assets at deep discounts.

Landlord-to-landlord transactions show interesting patterns. Landlords in the two-property tier acquired all four of their properties from other landlords, suggesting they are buying existing rental portfolios rather than competing with traditional homebuyers.

Meanwhile, new single-property investors rely less on this channel, with only 10.3% (3 of 29) of their purchases coming from other landlords. This indicates they are primarily buying from homeowners, placing them in direct competition with typical buyers.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Highland County's investor market is defined by small landlord dominance, with 94% ownership, while institutions retreat and hunt for deep-discount deals.
Holdings
Landlords own 1,949 SFR properties in Highland County, representing 17.7% of the total market, with individual investors holding a commanding 1,642 (84.2%) of these homes compared to 337 (17.3%) for companies.
Pricing
In Q1 2026, landlords secured an 11.6% pricing advantage over traditional homeowners, paying an average of $180,518 versus the homeowner's $204,221, a savings of $23,703 per property.
Activity
Investors purchased 24.6% of homes sold last quarter, with mom-and-pop landlords driving 92.9% of that activity. The market welcomed 28 new single-property landlords, signaling strong grassroots growth.
Market Share
Small mom-and-pop landlords (1-10 properties) control an overwhelming 93.8% of investor-owned housing, while institutional investors (1000+) have a minimal footprint, owning just 0.6% of the portfolio.
Ownership Type
Individuals dominate smaller portfolios, but companies become the majority owners in the 6-10 property tier, controlling 52.3% of properties in that specific segment.
Transactions
Landlords remain aggressive net buyers with a 4.2x buy-to-sell ratio in Q1 (42 buys vs 10 sells), even as institutional investors have recently acted as net sellers, signaling divergent strategies.
Market Narrative

The investor market in Highland County, OH is fundamentally a story of Main Street, not Wall Street. Investors own a significant 1,949 single-family homes, or 17.7% of the county's housing stock, but this portfolio is overwhelmingly controlled by small, local operators. Mom-and-pop landlords (owning 1-10 properties) hold a staggering 93.8% of these homes, with individuals accounting for 84.2% of all investor-owned properties. In contrast, institutional investors with over 1,000 properties have a negligible presence, owning just 0.6% of the portfolio. This structure defies the common narrative of corporate consolidation and points to a highly decentralized and accessible investment environment.

Investor behavior in the first quarter of 2026 reinforces these dynamics. Landlords were highly active, purchasing 24.6% of all homes sold while securing an 11.6% average discount compared to traditional homebuyers. They continue to be strong net buyers, acquiring 4.2 homes for every one they sold. However, a massive strategic divide is evident in pricing: new single-property landlords paid an average of $213,986, while the quarter's single institutional purchase was made at $62,000, a 71.0% discount. This indicates that while small investors compete in the retail market, large players are focused on deeply distressed or off-market opportunities.

The key takeaway for the Highland County housing market is that its stability and character are shaped by thousands of small-scale landlords, not a handful of large corporations. The market continues to attract new entrants, with 28 first-time landlords making purchases last quarter. While institutional players are present, their recent net selling and highly selective buying behavior suggest they are strategically optimizing a very small footprint rather than expanding. The future of this market will likely be determined by the collective actions of its dominant mom-and-pop base, whose consistent accumulation of properties continues to be the primary driver of investor activity.

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 12:41 AM
Data Period Q1 2026
Geography Level County
Geography Highland (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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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 Highland (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-highland/. Licensed under CC BY-NC-ND 4.0.