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

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

Market Overview

Total SFR Properties in Warren (OH)
76,048
Total Investors in Warren (OH)
13,636
Investor Owned SFR in Warren (OH)
10,364(13.6%)
Individual Landlords
Landlords
12,548
SFR Owned
8,495
Corporate Landlords
Landlords
1,088
SFR Owned
2,040
Understanding Property Counts

Distinct Count Methodology: The total 10,364 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 Warren County at 90.7% as Institutional Investors Retreat as Net Sellers
Investors own 10,364 SFR properties in Warren County (13.6% of the market), with small mom-and-pop landlords controlling 90.7% of this portfolio versus just 6.4% for institutional investors. In Q1 2026, landlords purchased properties at a 34.4% discount to homeowners, but a key divergence has emerged: while the overall market sees net buying, institutional investors are now net sellers.
Landlord Owned Current Holdings
Investors own 10,364 SFRs in Warren County, with individuals holding a dominant 82.0% share.
Investor portfolios are heavily geared towards rentals, with 97.3% of properties being non-owner-occupied. Holdings are almost evenly split between being financed (5,175 properties) and owned with cash (5,189 properties).
Landlord vs Traditional Homeowners
Landlords secured a 34.4% discount in Q1, paying $149,670 less than traditional homeowners per property.
The price gap between landlords and homeowners has widened dramatically, more than doubling from the 16.3% discount observed in Q2 2025. Data on price differences between individual and company investors is not available.
Current Quarter Purchases
Landlords acquired 22.2% of all SFR properties sold in Warren County during Q4 2025.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 88.1% of all investor purchases. In contrast, institutional investors (1000+ properties) made up just 1.5% of acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 90.7% of investor-owned SFRs.
This share starkly contrasts with institutional investors (1000+ properties), who own just 6.4% of the portfolio. Price variation data by tier is not available for this geography.
Ownership by Tier & Type
Companies become the majority property owners in portfolios of 6 or more properties.
While individuals dominate smaller tiers, companies control 57.8% of properties in the 6-10 unit tier and 93.2% in the 21-50 unit tier. Price differentials between owner types are not available.
Geographic Distribution
Investor activity is highest in zip codes 45040 (1,693 properties) and 45005 (1,685 properties).
However, the highest market penetration is in different areas, with zip code 45050 seeing 60.0% investor ownership and 45032 at 52.1%, showing pockets of intense saturation.
Historical Transactions
Landlords are strong net buyers, but institutional investors have reversed course to become net sellers.
Overall, landlords acquired 173 properties and sold only 44 in Q1 2026. In that same period, institutional investors sold more than they bought (5 sells vs. 2 buys), a trend that extends through all of 2025.
Current Quarter Transactions
Landlords were involved in 19.6% of all SFR transactions in Q1 2026, purchasing 173 properties.
Institutional investors displayed pricing discipline, paying 23.9% less than new mom-and-pop buyers ($229,717 vs $301,827). The highest rate of inter-landlord trading was in the 2-property tier at 18.8%.

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 10,364 SFRs in Warren County, with individuals holding a dominant 82.0% share.
Detailed Findings

In Warren County, investors own 10,364 single-family properties, representing 13.6% of the total 76,048 SFRs in the market. This penetration highlights a significant, established presence for real estate investing in the region.

Individual investors are the backbone of the rental market, owning 8,495 properties, or 82.0% of the total investor portfolio. In contrast, company-owned properties number 2,040, making up the remaining 19.7%.

The investor landscape is composed of 13,636 distinct landlords, with a stark contrast between the 12,548 individual landlords and the 1,088 company landlords. This reveals an approximate 12-to-1 ratio, underscoring the fragmented and small-scale nature of property ownership.

The primary focus of these holdings is generating rental income, as 10,090 of the 10,364 investor-owned properties (97.3%) are designated as non-owner-occupied rentals.

Investor financing strategies appear balanced, with a near-even split between leveraged and all-cash positions. A total of 5,175 properties are financed, while a slightly higher 5,189 are owned outright with cash.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a 34.4% discount in Q1, paying $149,670 less than traditional homeowners per property.
Detailed Findings

In Q1 2026, landlords demonstrated significant purchasing power, acquiring properties for an average of $285,477. This was a substantial 34.4% less than the $435,147 paid by traditional homeowners, translating to a cash discount of $149,670 per property.

The price advantage for investors has widened significantly in recent months. The 34.4% discount in Q1 is more than double the 16.3% discount ($80,587) recorded in Q2 2025, signaling a growing gap in purchasing strategy or ability.

Comparing Q1 2026 to Q1 2025, the landlord discount has expanded. In Q1 2025, landlords paid 26.7% less than homeowners ($343,903 vs. $469,016), a gap that has now grown to 34.4%.

The absence of landlord purchases recorded in multiple timeframes, such as all of 2024 and 2025, suggests that investors in Warren County are highly selective, choosing to act only when market conditions and pricing are exceptionally favorable.

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 22.2% of all SFR properties sold in Warren County during Q4 2025.
Detailed Findings

During Q4 2025, investors were a powerful force in the market, purchasing 130 of the 585 total SFRs sold, which constitutes a 22.2% market share of all acquisitions.

The vast majority of this activity came from small-scale investors. Mom-and-pop landlords (those owning 1-10 properties) were responsible for 119 of the 130 purchases, representing a commanding 88.1% of all investor buying activity.

New investors flooded the market, with 116 new single-property landlord entities making their first purchase. These new entrants alone acquired 83 properties, accounting for 61.5% of all investor acquisitions in the quarter.

Institutional buyers with portfolios of over 1,000 properties had a minimal impact on the market, acquiring only 2 properties, or 1.5% of the investor total. This highlights a market dominated by smaller, local players.

Mid-size landlords (11-1000 properties) also showed notable activity, with the 101-1000 property tier acquiring 10 homes (7.4% of the total), indicating strategic acquisitions from larger regional players.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 90.7% of investor-owned SFRs.
Detailed Findings

The investor landscape in Warren County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control 90.7% of all investor-owned single-family homes.

Single-property landlords (Tier 01) form the largest segment by a wide margin, owning 8,124 properties. This accounts for 76.3% of the entire investor-owned portfolio, demonstrating that first-time and small investors are the market's foundation.

In stark contrast, institutional investors with portfolios exceeding 1,000 properties own just 684 homes, representing a modest 6.4% of the market. This figure challenges the narrative that large corporations dominate the local rental market.

The distribution is heavily skewed towards the smallest investors. The top four tiers combined (1-10 properties) make up the 90.7% share, while the remaining five tiers (11-1000+ properties) collectively own just 9.3%.

Mid-size investors play a minor role. For instance, landlords owning 21-50 properties hold only 74 homes, or 0.7% of the total investor portfolio, reinforcing the market's fragmented nature.

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 majority property owners in portfolios of 6 or more properties.
Detailed Findings

Individual investors overwhelmingly control the entry-level tiers of property ownership. In the single-property tier, individuals own 7,628 homes (92.8%), compared to just 593 (7.2%) owned by companies.

A distinct crossover point occurs as portfolio sizes increase. In the 6-10 property tier, companies overtake individuals as the majority owners, holding 57.8% of the properties in that segment.

Company ownership share accelerates dramatically in larger tiers. For landlords with 21-50 properties, companies own 69 of the 74 homes, a dominating 93.2% share, indicating that scaling is primarily achieved through corporate structures.

The transition from individual to corporate ownership is gradual but clear. Individuals maintain a majority in the 1, 2, and 3-5 property tiers before the balance of power shifts definitively to companies for all larger portfolio sizes.

Even in the 2-property tier, the presence of companies is significant, with corporate entities owning 151 properties (24.2%), suggesting that some investors formalize their operations early on.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highest in zip codes 45040 (1,693 properties) and 45005 (1,685 properties).
Detailed Findings

The highest volume of investor-owned properties is concentrated in a few key zip codes. The 45040 zip code leads with 1,693 properties, followed closely by 45005 with 1,685 and 45036 with 1,636.

The areas with the most investor properties do not necessarily have the highest investor ownership rates. The top three zip codes by count have moderate penetration rates between 11.1% and 15.3%, suggesting investment across larger, more diverse housing markets.

A different set of zip codes shows extreme investor saturation. Zip code 45050 has the highest rate, with 60.0% of its homes owned by investors, followed by 45032 at 52.1%. These areas represent highly targeted investment zones.

This divergence between high-volume and high-penetration areas indicates two distinct investment strategies at play in Warren County: one focused on acquiring scale in broad markets, and another focused on achieving deep saturation in smaller, specific neighborhoods.

The top five zip codes by property count together contain 7,237 investor-owned homes, which is nearly 70% of the entire investor portfolio in the county, revealing significant geographic concentration.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Chart Section11 Yoy Institutional
Key Insight
Landlords are strong net buyers, but institutional investors have reversed course to become net sellers.
Detailed Findings

The overall investor market in Warren County remains in a strong accumulation phase. In Q1 2026, landlords were net buyers, acquiring 173 SFRs while selling only 44, resulting in a net gain of 129 properties.

This net buying trend has been consistent, with investors adding 576 net properties in 2025 and 623 net properties in 2024, signaling sustained confidence and capital deployment in the local market.

A major strategic shift is evident among institutional investors (1000+ properties). After being net buyers in 2024 (45 buys vs. 31 sells), they became aggressive net sellers in 2025 (2 buys vs. 20 sells) and continued this divestment into Q1 2026 (2 buys vs. 5 sells).

The divergence between the broader market and institutional players is stark. While mom-and-pop and mid-size landlords continue to expand their portfolios, the largest players are actively reducing their exposure in Warren County.

Transaction volume for all landlords shows a seasonal pattern, with Q2 2025 being the most active period (249 purchases). The 173 purchases in Q1 2026 represent a slowdown from the prior year's peak but remain historically strong.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 19.6% of all SFR transactions in Q1 2026, purchasing 173 properties.
Detailed Findings

In Q1 2026, landlords accounted for 19.6% of all market transactions, with 173 purchases out of a total of 881. This shows continued, significant participation in the acquisition market.

A clear pricing difference exists between new and established investors. New, single-property landlords paid the highest average price at $301,827, while large institutional investors paid just $229,717, a 23.9% discount, reflecting a more disciplined acquisition strategy.

Mom-and-pop investors (1-10 properties) dominated transaction volume, conducting 156 of the 173 total landlord transactions in the quarter. This is in sharp contrast to institutional investors, who made only 2 purchases.

Trading between landlords is an active part of the market, particularly for smaller investors. Landlords in the two-property tier sourced 18.8% of their new acquisitions from other landlords, the highest rate among all tiers.

The lowest-priced acquisitions were made by landlords in the 21-50 property tier, who paid an average of just $145,000, suggesting a focus on value-add or lower-cost submarkets.

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

Mom-and-Pop Landlords Dominate Warren County at 90.7% as Institutional Investors Retreat as Net Sellers
Holdings
Landlords own 10,364 SFR properties, representing 13.6% of Warren County's market. Individual investors overwhelmingly lead, holding 8,495 of these properties (82.0%) compared to 2,040 (19.7%) for companies.
Pricing
Landlords paid 34.4% less than homeowners in Q1 2026, securing an average discount of $149,670 per property ($285,477 vs $435,147). This price gap has more than doubled since mid-2025.
Activity
In Q4 2025, landlords purchased 22.2% of all homes sold (130 properties), with 116 new single-property landlords entering the market, highlighting strong grassroots acquisition activity.
Market Share
Small mom-and-pop landlords (1-10 properties) control a massive 90.7% of investor housing in Warren County, while institutional investors (1000+) own just 6.4% of the portfolio.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in the 6-10 property tier, controlling 57.8% of holdings and scaling up from there.
Transactions
Landlords are strong net buyers overall, acquiring 173 properties versus 44 sells in Q1. However, institutional investors are actively divesting, operating as net sellers (2 buys vs. 5 sells).
Market Narrative

The single-family rental market in Warren County, OH is defined by the dominance of small, independent operators, not large corporations. Investors own 10,364 properties, 13.6% of the county's total SFR housing stock. This portfolio is overwhelmingly controlled by individuals, who own 82.0% of these homes. The market structure revealed in this market report is highly fragmented; mom-and-pop landlords (owning 1-10 properties) control a staggering 90.7% of investor-owned homes, while large institutional investors hold a minor 6.4% share.

Investor behavior highlights a sophisticated and bifurcated market. In Q4 2025, landlords acquired 22.2% of all properties sold, with an influx of 116 new single-property investors leading the charge. They operate with a distinct pricing advantage, securing homes in Q1 2026 for 34.4% less than traditional homeowners. However, a critical divergence is underway: while the market as a whole is in an acquisition phase, institutional investors have shifted strategy. They are now net sellers, divesting from the market while smaller players continue to buy.

This dynamic signals a resilient and accessible market for individual investors in Warren County. The retreat of institutional capital may reduce competition at the higher end, creating opportunities for local landlords who can leverage their market knowledge to acquire properties at a significant discount. The data indicates that the health and growth of the local rental market are firmly in the hands of its community of small-scale real estate entrepreneurs, not Wall Street.

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 12:57 AM
Data Period Q1 2026
Geography Level County
Geography Warren (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 Warren (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-warren/. Licensed under CC BY-NC-ND 4.0.