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

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

Market Overview

Total SFR Properties in Jefferson (OH)
21,145
Total Investors in Jefferson (OH)
2,660
Investor Owned SFR in Jefferson (OH)
3,266(15.4%)
Individual Landlords
Landlords
2,284
SFR Owned
2,527
Corporate Landlords
Landlords
376
SFR Owned
793
Understanding Property Counts

Distinct Count Methodology: The total 3,266 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 Jefferson County, OH, Acquiring Properties at a 45% Discount
In Jefferson County, investors own 3,266 SFR properties, representing 15.4% of the market. Small mom-and-pop landlords (1-10 properties) control a staggering 88.1% of this portfolio, while institutional ownership is nearly non-existent at 0.4%. In Q1 2026, investors purchased 23.0% of all homes sold, paying an average of 44.7% less than traditional homeowners.
Landlord Owned Current Holdings
Investors own 3,266 SFR properties in Jefferson County, with individuals holding 77.4%.
The vast majority of investor-owned properties are held in cash, with 2,883 cash properties compared to only 383 financed ones. Portfolio analysis reveals a strong rental focus, as 3,048 of the 3,266 properties are rented. Individual landlords outnumber companies by more than 6-to-1 (2,284 to 376).
Landlord vs Traditional Homeowners
Landlords acquired Q1 2026 properties for $111,801, a 44.7% discount compared to homeowners.
The significant price gap between landlords and homeowners is a consistent trend, with investors securing discounts of 46.7% in Q3 2025 and 43.4% in Q2 2025. This reveals a persistent ability to acquire properties well below the prices paid by traditional buyers. The Q1 2026 discount of $90,325 per property ($111,801 vs. $202,126) is the largest in over a year.
Current Quarter Purchases
Landlords captured 23.0% of all single-family home purchases in the last quarter.
Mom-and-pop landlords were overwhelmingly the most active buyers, accounting for 37 of the 38 investor purchases, or 94.9% of the total. In contrast, institutional investors made zero acquisitions. The market saw 32 new single-property landlords enter, representing the bulk of new activity.
Ownership by Tier
Mom-and-pop landlords control 88.1% of all investor-owned SFRs in Jefferson County.
In stark contrast to the dominance of small landlords, institutional investors (1,000+ properties) hold a minuscule 0.4% share, with just 12 properties. Single-property landlords alone make up the largest segment, owning 1,840 properties, which is 54.8% of the entire investor-owned portfolio.
Ownership by Tier & Type
Companies become the majority owners at the 21-50 property tier, holding 65.1% of assets.
While individuals dominate the overall market, companies strategically increase their presence in larger portfolios. The crossover from individual to company majority ownership occurs in the 21-50 property tier. Below this, individuals hold the majority, such as 90.3% in the single-property tier and 67.4% in the 3-5 property tier.
Geographic Distribution
Investor activity is highly concentrated, with zip code 43952 holding 1,169 investor properties.
This single zip code, 43952, accounts for over a third of all investor-owned SFRs in the county and has an investor ownership rate of 21.0%. Some smaller zip codes like 43941 and 43970 show extreme saturation, with 100% of SFR properties being investor-owned. This highlights specific neighborhood targeting by investors.
Historical Transactions
Landlords are strong net buyers, acquiring 46 properties while selling only 7 in Q1 2026.
This net buyer trend is consistent, with a positive acquisition balance throughout 2025 (205 buys vs. 81 sells) and 2024 (179 buys vs. 57 sells). Even institutional investors, though small players here, shifted to net buyers in 2025 (9 buys vs. 2 sells) after being net sellers in 2024.
Current Quarter Transactions
Investors were involved in 22.1% of all Q1 2026 transactions, purchasing 46 properties.
Mom-and-pop landlords drove nearly all this activity, with 44 of the 46 transactions. First-time landlords (Tier 01) were the most active, buying 34 properties at an average price of $120,969. In contrast, investors in the 3-5 property tier paid significantly less, averaging just $35,033 per property.

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 3,266 SFR properties in Jefferson County, with individuals holding 77.4%.
Detailed Findings

Investors hold a significant 15.4% share of the single-family residential market in Jefferson County, controlling 3,266 out of 21,145 total SFR properties.

Individual investors are the primary drivers of the rental market, owning 2,527 properties, which accounts for 77.4% of all investor-owned SFRs. In contrast, company-owned properties number 793, or 24.3% of the investor portfolio.

The market is dominated by individual entities, with 2,284 individual landlords compared to just 376 company landlords. This 6-to-1 ratio underscores the grassroots nature of real estate investing in the county.

A key characteristic of this market is the preference for all-cash holdings. Investors own 2,883 properties outright (cash), while only 383 are financed. This indicates a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The portfolio is heavily geared towards rental income, with 3,048 of the 3,266 properties classified as rented. This high rental penetration confirms the primary strategy for local investors is generating cash flow through long-term holds.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired Q1 2026 properties for $111,801, a 44.7% discount compared to homeowners.
Detailed Findings

Investors in Jefferson County demonstrate a remarkable ability to acquire properties at a deep discount. In Q1 2026, landlords paid an average of $111,801, which is $90,325, or 44.7%, less than the $202,126 paid by traditional homeowners.

This pricing advantage is not a recent phenomenon but a consistent market feature. Over the past year, the discount has remained substantial, including a 46.7% gap ($80,020) in Q3 2025 and a 43.4% gap ($76,648) in Q2 2025. This pattern suggests investors are targeting distressed assets or off-market opportunities unavailable to typical buyers.

Acquisition prices for landlords have seen some fluctuation, rising from an average of $80,994 in 2024 to $103,609 in 2025. However, even with this increase, their purchase prices remain significantly below those of the general market.

The pandemic-era (2020-2023) average price of $85,025 provides a baseline, showing that while investor acquisition costs have risen, their strategic discount has widened, giving them a stronger competitive edge in the current market.

The consistency and magnitude of this price gap indicate a clear bifurcation in the housing market, where investors operate in a different price tier than owner-occupiers, likely focusing on properties requiring renovation or having other characteristics that deter traditional buyers.

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 23.0% of all single-family home purchases in the last quarter.
Detailed Findings

Investor activity accounted for a substantial portion of the market in the last quarter, with landlords purchasing 38 of the 165 total SFRs sold, a market share of 23.0%.

The acquisitions were almost entirely driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 94.9% of all investor purchases, totaling 37 properties. Institutional investors with over 1,000 properties made no purchases, highlighting their absence from this market.

New entrants are a major force, with the single-property tier adding 27 properties across 32 distinct entities. This signifies a healthy influx of new, first-time landlords into Jefferson County.

Activity was concentrated at the smallest end of the spectrum. Beyond the new landlords, investors in the 3-5 property tier acquired 7 homes, while those in the two-property tier added 3. This reinforces that growth is happening at the grassroots level.

Only one mid-size investor (101-1000 properties) was active, purchasing 2 properties. The data clearly shows that the transactional velocity in Jefferson County's rental market is driven by small, independent operators, not large corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 88.1% of all investor-owned SFRs in Jefferson County.
Detailed Findings

The ownership structure of investment properties in Jefferson County is overwhelmingly dominated by small-scale, mom-and-pop landlords. Investors owning 1-10 properties (Tiers 01-04) collectively control 88.1% of all investor-held SFRs.

The single-property tier (Tier 01) is the bedrock of the market, with these landlords owning 1,840 properties. This accounts for 54.8% of the total investor portfolio, indicating that a majority of investors are just starting or maintain a single rental property.

Mid-size landlords (11-1,000 properties) represent a much smaller portion of the market, collectively owning 11.5% of the portfolio. This group's holdings diminish as portfolio sizes increase, showing a steep drop-off after the 10-property mark.

Institutional investors (Tier 09, 1,000+ properties) have a negligible footprint, owning just 12 properties, or 0.4% of the investor market. This finding directly contradicts the narrative of large corporations dominating local housing markets.

The distribution is heavily skewed towards the smallest players, with Tiers 01-03 (1-5 properties) alone accounting for 79.9% of all landlord-owned homes. This demonstrates a highly fragmented and decentralized rental market.

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 owners at the 21-50 property tier, holding 65.1% of assets.
Detailed Findings

Ownership structure evolves significantly with portfolio size. While individual investors form the backbone of the market, companies become the dominant owners in larger tiers. The critical crossover point is the 21-50 property tier, where companies own 95 properties, a 65.1% majority share.

In smaller portfolios, individual ownership is overwhelming. Individuals own 1,677 (90.3%) of single-property investments and 416 (67.4%) of properties in the 3-5 unit tier, reflecting the typical entry point for mom-and-pop landlords.

As portfolios grow, the share of company ownership steadily increases. Companies own 42.8% of properties in the 6-10 unit tier and reach near-parity at 48.7% in the 11-20 unit tier, signaling a professionalization of operations as holdings expand.

This pattern reveals a clear business lifecycle: investors often start as individuals and later incorporate as they scale their operations to manage liability and formalize their business structure.

Even in the medium-large tier (51-100 properties), individuals maintain a notable presence, holding 15 properties for a 60.0% share. This indicates that even larger-scale local operators may choose to maintain individual ownership structures.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with zip code 43952 holding 1,169 investor properties.
Detailed Findings

Geographic analysis reveals intense concentration of investor activity within Jefferson County. The top five zip codes by property count (43952, 43964, 43953, 43938, and 43917) together contain 2,412 properties, representing 73.8% of the entire investor portfolio.

The 43952 zip code is the undisputed epicenter of investment, with 1,169 investor-owned SFRs. This single area holds 35.8% of all investor properties in the county and has a high investor penetration rate of 21.0%.

Certain micro-markets show complete investor saturation. The zip codes of 43941 and 43970 have a 100.0% investor ownership rate, suggesting these areas may consist entirely of rental communities or have been targeted for complete acquisition by investors.

High ownership rates are also found in other areas, such as 43926 (31.7%) and 43907 (29.4%), indicating that investors have achieved significant market share in multiple distinct neighborhoods across the county.

This clustering pattern suggests that investors are not spread evenly but are focused on specific submarkets, likely driven by factors like affordability, rental demand, and favorable local economic conditions. A comprehensive property search tool would be essential for identifying such localized opportunities.

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, acquiring 46 properties while selling only 7 in Q1 2026.
Detailed Findings

Landlords in Jefferson County are aggressively expanding their portfolios, acting as strong net buyers. In the first quarter of 2026, they purchased 46 SFRs while selling only 7, resulting in a net gain of 39 properties and a buy-to-sell ratio of 6.6 to 1.

This accumulation strategy is a long-term trend, not a recent shift. In 2025, landlords acquired 205 properties and sold 81 (a net gain of 124), and in 2024 they bought 179 while selling 57 (a net gain of 122). This sustained buying pressure indicates strong confidence in the local rental market.

Even the small contingent of institutional investors (1,000+ properties) has recently turned bullish on the area. After being net sellers in 2024 (2 buys vs. 3 sells), they became net buyers in 2025, acquiring 9 properties and divesting only 2.

The consistent, high-volume net buying from the dominant mom-and-pop sector, coupled with a positive turn from institutions, signals a robust and growing investor market across all scales of operation.

The historical transaction data demonstrates a clear pattern of accumulation. Investors are not just flipping properties; they are actively increasing their holdings, contributing to the rising share of rental housing in the county.

Current Quarter Transactions

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

Key Insight
Investors were involved in 22.1% of all Q1 2026 transactions, purchasing 46 properties.
Detailed Findings

In Q1 2026, landlords played a significant role in market liquidity, participating in 22.1% of all SFR transactions with 46 purchases out of a total of 208.

The transactional activity was overwhelmingly concentrated among the smallest investors. Mom-and-pop landlords (Tiers 01-04) accounted for 44 of the 46 investor purchases, while institutional investors made no transactions.

New landlords entering the market were the single most active group. The single-property tier alone recorded 34 transactions, demonstrating a strong pipeline of new investors acquiring their first rental property.

A distinct pricing strategy emerges between different tiers. New investors in Tier 01 paid the highest average price at $120,969. In contrast, more established small landlords in the 3-5 property tier acquired homes for an average of only $35,033, suggesting they target more distressed or lower-value assets.

Inter-landlord trading was minimal, with only 5.9% of purchases by new landlords (2 of 34) coming from other investors. This indicates that most investors are acquiring properties from the general homeowner market rather than from each other.

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

Jefferson County's housing market is defined by small investors who own 88.1% of rentals and buy homes at a 45% discount.
Holdings
Investors own 3,266 single-family homes in Jefferson County, OH, representing 15.4% of the total market. The portfolio is dominated by individual investors, who own 2,527 properties (77.4%), compared to 793 properties (24.3%) owned by companies.
Pricing
In Q1 2026, landlords secured properties at a massive 44.7% discount compared to traditional homeowners, paying an average of $111,801 while homeowners paid $202,126, a price gap of $90,325.
Activity
Investors accounted for 23.0% of all SFR purchases in the last quarter, acquiring 38 properties. This activity was led by new entrants, with 32 new single-property landlords joining the market.
Market Share
Small, mom-and-pop landlords (1-10 properties) overwhelmingly control the rental market, owning 88.1% of all investor-held SFRs. In sharp contrast, institutional investors (1,000+ properties) have a negligible presence, with just 0.4% of the market share.
Ownership Type
Individual investors command the market at smaller scales, but companies become the majority owners once a portfolio grows to the 21-50 property tier, where they control 65.1% of the assets.
Transactions
Landlords are strong net buyers with a 6.6x buy-to-sell ratio in Q1 2026 (46 buys vs. 7 sells). Even the small institutional segment has become a net buyer, signaling broad confidence in the market.
Market Narrative

The investor landscape in Jefferson County, OH, is a definitive story of local, small-scale entrepreneurship. Investors control a notable 15.4% of the single-family housing market, with a total portfolio of 3,266 properties. This market is overwhelmingly driven by individuals, who own 77.4% of these homes, far outpacing corporate ownership. The structure is deeply fragmented, with mom-and-pop landlords (1-10 properties) commanding an 88.1% share of investor housing, while institutional firms with over 1,000 properties are almost non-existent at just 0.4%. This data paints a clear picture of a rental market built by community members, not Wall Street.

Investor behavior in Jefferson County is characterized by strategic, value-driven acquisitions and consistent portfolio growth. In the most recent quarter, landlords captured 23.0% of all home sales and demonstrated a remarkable purchasing advantage, paying 44.7% less than traditional homeowners. This equates to a $90,325 discount per property, signaling a focus on off-market deals or distressed assets. The market is dynamic, with 32 new single-property landlords entering in the last quarter alone. Furthermore, investors across the board are in a phase of accumulation, acting as strong net buyers with a 6.6-to-1 buy-to-sell ratio, indicating deep confidence in the local economy.

The key takeaway from this Investor Pulse report is that the Jefferson County housing market's rental segment is decentralized, resilient, and dominated by local players. The narrative of large corporations buying up neighborhoods does not apply here. Instead, the market's health and growth are tied to the ability of individual and small-business investors to find and capitalize on value opportunities. This creates a distinct market dynamic where a significant portion of transactions occur at a price point well below what typical homebuyers experience, shaping affordability and the availability of rental stock in the region.

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 12:43 AM
Data Period Q1 2026
Geography Level County
Geography Jefferson (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 Jefferson (OH) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-oh-jefferson/. Licensed under CC BY-NC-ND 4.0.