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

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

Market Overview

Total SFR Properties in Lake (OH)
74,074
Total Investors in Lake (OH)
10,617
Investor Owned SFR in Lake (OH)
8,672(11.7%)
Individual Landlords
Landlords
9,725
SFR Owned
7,300
Corporate Landlords
Landlords
892
SFR Owned
1,468
Understanding Property Counts

Distinct Count Methodology: The total 8,672 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 Lake County's Market While Institutional Investors Retreat
Investors own 8,672 single-family properties in Lake County, representing 11.7% of the market. This ownership is overwhelmingly controlled by small 'mom-and-pop' landlords (95.2%), while institutional investors hold just 0.6% and are actively selling their local portfolios. In Q4 2025, landlords purchased 26.2% of all homes sold, securing them at an average 11.6% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 8,672 SFR properties in Lake County, with individuals holding 84.2%.
Of these holdings, 97.7% are designated as rentals, indicating a strong focus on generating rental income. The portfolio is nearly evenly split between financing methods, with 4,497 properties financed and 4,175 owned with cash.
Landlord vs Traditional Homeowners
Landlords paid 11.6% less than homeowners in Q1 2026, a discount of $32,203 per property.
This price gap has fluctuated significantly, narrowing from a high of 24.8% in Q1 2025 ($72,999 discount) to just 6.8% in Q3 2025 before widening again. This demonstrates a consistent, though variable, pricing advantage for investors.
Current Quarter Purchases
Landlords acquired 26.2% of all homes sold in Lake County during Q4 2025.
Mom-and-pop investors (1-10 properties) were the driving force, accounting for 88.6% of all landlord purchases. In contrast, institutional investors (1,000+ properties) made up only 3.0% of acquisitions, highlighting the dominance of small-scale investors.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) own 95.2% of all investor-held SFRs in Lake County.
In contrast, institutional investors with over 1,000 properties control a mere 0.6% of the investor-owned housing stock. Landlords with only a single property represent the largest segment, owning 80.6% of all investor properties.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 6 or more properties.
While individuals own 92.9% of single-property portfolios, companies own 70.8% of portfolios in the 6-10 property tier. This corporate dominance escalates to 99.4% in the 21-50 property tier, marking a clear strategic shift as portfolios grow.
Geographic Distribution
Investor ownership is highest in zip code 44077, with 2,305 investor-owned properties.
However, the highest concentration rate is in zip code 44045, where investors own 30.3% of all single-family homes. This highlights the difference between raw volume and market penetration across different local areas.
Historical Transactions
Landlords in Lake County are strong net buyers, while institutional investors are net sellers.
In 2025, the overall landlord market acquired 1,079 properties while selling only 203. In contrast, institutional investors (1,000+ tier) sold 13 properties and purchased only 3 during the same period, signaling a clear divestment strategy.
Current Quarter Transactions
Landlords were involved in 25.7% of all property transactions in Q4 2025.
A notable pricing disparity exists, with new single-property investors paying the most ($268,312) while institutional buyers paid 10.4% less ($240,333). Landlord-to-landlord sales were rare, with only 7% of new investors buying from an existing landlord.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 8,672 SFR properties in Lake County, with individuals holding 84.2%.
Detailed Findings

In Lake County, investors hold a total of 8,672 Single-Family Residential (SFR) properties, which constitutes 11.7% of the total market of 74,074 SFRs. This signifies a meaningful, yet not dominant, investor presence in the local housing market.

The ownership structure heavily favors individual investors over corporations. Individuals own 7,300 properties, accounting for 84.2% of the investor-owned portfolio, while companies own the remaining 1,468 properties (16.9%).

An analysis of landlord entities reveals a similar pattern, with 9,725 individual landlords compared to just 892 company landlords. This demonstrates that the average company landlord holds a slightly larger portfolio (1.6 properties) within the county than the average individual investor.

The investor portfolio is almost entirely geared towards rental income, with 8,470 properties (97.7%) classified as rented. This high concentration underscores a clear strategy focused on long-term rental yields rather than short-term flips or other uses.

When examining financing, the portfolio shows a balanced approach. A total of 4,497 properties (51.8%) are financed with a mortgage, while 4,175 properties (48.1%) are owned outright with cash, indicating a mix of leveraged and conservative investment strategies among landlords.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 11.6% less than homeowners in Q1 2026, a discount of $32,203 per property.
Detailed Findings

Investors in Lake County consistently purchase properties at a lower price point than traditional homeowners. In the first quarter of 2026, landlords paid an average of $245,988, which is 11.6% less than the $278,191 paid by homeowners, representing a significant discount of $32,203 per home.

This pricing advantage for investors is a persistent trend, though its magnitude varies. A year ago, in Q1 2025, the gap was an astounding 24.8% ($72,999). It then narrowed throughout 2025, reaching a low of 6.8% in Q3 before rebounding, showcasing the dynamic nature of market opportunities for savvy buyers.

The data on acquisition prices also reveals steady appreciation in the market. The average landlord purchase price rose from $245,707 in 2024 to $255,671 in 2025, a 4.1% year-over-year increase, reflecting broader market trends.

The ability of landlords to secure properties below the typical homeowner price suggests more sophisticated purchasing strategies, such as targeting distressed properties, off-market deals, or leveraging cash offers to negotiate more effectively.

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 26.2% of all homes sold in Lake County during Q4 2025.
Detailed Findings

Investor activity represented a significant portion of the Lake County housing market in Q4 2025, with landlords purchasing 129 of the 492 total SFRs sold, a market share of 26.2%. This level of activity indicates strong and continued demand from the real estate investing community.

The acquisition activity is overwhelmingly dominated by small-scale, 'mom-and-pop' landlords. Investors in Tiers 01-04 (owning 1-10 properties) collectively purchased 117 properties, which is 88.6% of all landlord acquisitions for the quarter.

First-time or single-property investors were the most active group by a wide margin. This tier alone acquired 87 properties (65.9% of the total) via 114 distinct entities, signaling a healthy influx of new participants into the local rental market.

In stark contrast, institutional investors with portfolios exceeding 1,000 properties had a minimal impact, purchasing only 4 homes, or 3.0% of the investor total. This finding challenges the common narrative of large corporations driving the market.

The data clearly shows that the new supply for the rental market in Lake County is primarily being created by small, local investors rather than large, out-of-state institutions.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) own 95.2% of all investor-held SFRs in Lake County.
Detailed Findings

The ownership landscape of investor properties in Lake County is defined by small-scale landlords. An overwhelming 95.2% of the 8,672 investor-owned homes are held by 'mom-and-pop' investors who own between 1 and 10 properties.

The market is highly granular, with single-property landlords (Tier 01) forming the bedrock of the rental housing supply. This group alone owns 7,092 properties, accounting for 80.6% of all investor-owned SFRs.

The influence of large-scale institutional investors (Tier 09, 1000+ properties) is minimal in Lake County. This tier owns just 50 properties, representing a tiny 0.6% of the investor portfolio, a figure that directly counters the narrative of a market controlled by Wall Street.

Mid-size landlords (11-1000 properties) also hold a relatively small portion of the market, collectively owning 376 properties or 4.3% of the total investor portfolio. This further reinforces the market structure's reliance on smaller operators.

This distribution reveals that the local rental market is not concentrated in the hands of a few large entities but is instead supported by thousands of small, independent investors.

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

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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 portfolios of 6 or more properties.
Detailed Findings

A distinct pattern emerges when analyzing ownership by portfolio size: individuals dominate smaller portfolios, while companies control larger ones. For single-property holdings, individuals account for 6,662 of the properties (92.9%), showing that most investors start as individuals.

The crossover point where corporate ownership becomes the majority occurs in the 6-10 property tier. In this segment, companies own 187 properties, a commanding 70.8% share, compared to just 77 properties (29.2%) owned by individuals.

This trend toward corporate structure intensifies with portfolio scale. For investors holding 11-20 properties, company ownership rises to 79.0%. It reaches near-total dominance in the 21-50 property tier, where companies own 171 of 172 properties (99.4%).

This data suggests a lifecycle for real estate investors in Lake County. They often begin as individuals and later transition to a corporate structure, likely for liability protection and tax advantages, as their investment portfolio expands beyond five properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highest in zip code 44077, with 2,305 investor-owned properties.
Detailed Findings

Geographic analysis of Lake County reveals that investor activity is not uniform but concentrated in specific zip codes. The zip code 44077 contains the highest absolute number of investor-owned properties at 2,305, which represents a 13.6% ownership rate for that area.

Following 44077, the next largest concentrations by property count are in 44060 (1,811 properties), 44095 (1,635 properties), and 44094 (1,101 properties). These four zip codes alone account for over 79% of all investor-owned homes in the county.

Interestingly, the area with the highest count is not the one with the highest penetration rate. The highest investor ownership percentage is found in zip code 44045, where landlords own 30.3% of the housing stock. This suggests a smaller market that is heavily saturated with rental properties.

This distinction between high-volume and high-penetration areas points to different market dynamics and potential investment strategies. Some investors may target larger, more liquid markets, while others focus on smaller areas with high rental demand.

Understanding these micro-markets is crucial for identifying opportunities and risks, something often explored in detailed market reports.

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 Lake County are strong net buyers, while institutional investors are net sellers.
Detailed Findings

The transaction data reveals a major divergence in strategy between small and large investors in Lake County. Overall, landlords are aggressively expanding their portfolios, operating as strong net buyers. In Q1 2026, they purchased 164 properties while selling only 47.

This trend of accumulation was consistent throughout the prior year. In 2025, landlords bought 1,079 SFRs and sold just 203, resulting in a net gain of 876 properties and a buy-to-sell ratio of more than 5-to-1.

However, the largest players in the market are moving in the opposite direction. Institutional investors in the 1,000+ property tier are actively divesting. In 2025, this group was a clear net seller, offloading 13 properties while acquiring only 3.

This institutional retreat continued from Q2 to Q3 2025, where they sold a combined 8 properties and purchased only 2. This pattern suggests that large-scale investors may believe the local market has peaked or are reallocating capital elsewhere.

The market's growth is therefore being fueled entirely by smaller, independent landlords who are absorbing inventory, including some potentially sold by institutional players.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 25.7% of all property transactions in Q4 2025.
Detailed Findings

In Q4 2025, investors were a party to 164 of the 637 total SFR transactions in Lake County, making up a 25.7% share of all market activity. This demonstrates their significant role in providing market liquidity.

Transaction activity was, similar to ownership, heavily concentrated among mom-and-pop investors. Tiers 01-04 were responsible for 146 transactions, or 89% of all investor activity for the quarter.

A clear pricing advantage emerges for larger, more experienced investors. Institutional buyers (Tier 09) paid an average of $240,333 per property. In contrast, new investors buying their first property (Tier 01) paid an average of $268,312, a 10.4% premium, suggesting that scale and experience lead to better deal-making.

The market does not appear to be driven by investors trading properties among themselves. For the most active group, single-property buyers, only 8 of 114 transactions (7.0%) involved purchasing from another landlord. For all other tiers, 0% of purchases came from other landlords, indicating that investors are primarily acquiring inventory from the traditional homeowner market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Small local investors drive the Lake County market, owning 95.2% of rental homes as institutional players sell off assets.
Holdings
Landlords own 8,672 single-family properties, 11.7% of Lake County's market, with individual investors overwhelmingly holding 7,300 of these properties (84.2%) compared to 1,468 (16.9%) for companies.
Pricing
In Q1 2026, investors paid an average of 11.6% less than homeowners, securing a $32,203 discount per property ($245,988 vs $278,191).
Activity
Investors purchased 26.2% of all homes sold in Q4 2025 (129 properties), with activity dominated by 114 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control 95.2% of investor-owned housing, while large institutional investors (1000+) own just 0.6%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners for investors holding 6 or more properties.
Transactions
While landlords overall were strong net buyers in 2025 (1,079 buys vs 203 sells), institutional investors were net sellers, divesting 13 properties while buying only 3.
Market Narrative

In Lake County, Ohio, the investor-owned housing market is fundamentally shaped by small, independent operators. Investors own 8,672 single-family homes, representing 11.7% of the total market. The ownership structure is dominated by individuals, who hold 84.2% of these properties. The vast majority of these assets are controlled by 'mom-and-pop' landlords (portfolios of 1-10 homes), who command a 95.2% share, dwarfing the meager 0.6% held by large institutional investors. This granular market structure challenges the narrative of corporate consolidation and highlights the importance of local investors in providing rental housing.

Investor behavior in Lake County reveals a tale of two markets. On one hand, small investors are actively accumulating properties, accounting for 26.2% of all purchases in Q4 2025 and consistently securing homes at a discount, paying 11.6% less than traditional homeowners in Q1 2026. On the other hand, the largest institutional players are retreating, operating as net sellers throughout 2025. This divergence signals that while the overall investor market is growing, it's being fueled from the bottom up by new entrants and small portfolio expansions, not by large-scale corporate acquisitions.

The key takeaway for the Lake County housing market is that its stability and growth are tied to the decisions of thousands of small landlords, not a handful of large institutions. While these investors provide a significant share of the rental stock, their purchasing power also creates competition for traditional homebuyers. The trend of institutional divestment alongside the entry of new mom-and-pop landlords suggests a shift in market dynamics, where local knowledge and smaller-scale strategies are currently prevailing over large, centralized investment models.

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 12:44 AM
Data Period Q1 2026
Geography Level County
Geography Lake (OH)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section11 Yoy Institutional
Chart Section11 Yoy Institutional
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

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.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

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

How to cite this report

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