Dunklin (MO) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Dunklin (MO)
9,282
Total Investors in Dunklin (MO)
3,347
Investor Owned SFR in Dunklin (MO)
3,476(37.4%)
Individual Landlords
Landlords
3,137
SFR Owned
2,765
Corporate Landlords
Landlords
210
SFR Owned
731
Understanding Property Counts

Distinct Count Methodology: The total 3,476 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

Investors dominate Dunklin County with 37.4% market share, securing properties at a 55.3% discount to homeowners.
Investors own 3,476 SFR properties in Dunklin County, MO, with individual mom-and-pop landlords controlling a staggering 80.9% of that portfolio. In Q1 2026, investors were highly active, accounting for 57.9% of all transactions and acquiring properties for an average of $72,479, a massive $89,687 below the typical homeowner price. While landlords overall are aggressive net buyers, institutional investors show signs of divestment, recently operating as net sellers.
Landlord Owned Current Holdings
Investors hold 3,476 properties, with individuals owning 79.5% of the portfolio.
The majority of investor properties, 2,775, are owned outright with cash, compared to just 701 that are financed. Of the total portfolio, 3,387 properties are identified as rented, confirming a strong focus on generating rental income.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 55.3% less than homeowners, a massive $89,687 discount.
The price gap between landlords and homeowners has been highly variable, ranging from a 5.0% discount in Q3 2025 to a staggering 67.9% in Q2 2025. This fluctuation suggests landlords are opportunistic buyers, capitalizing on specific market conditions or distressed assets.
Current Quarter Purchases
During Q4 2025, landlords acquired 51.3% of all SFR properties sold in the market.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 50.8% of all investor purchases (31 properties). In contrast, institutional investors (1000+ properties) made up only 6.6% of investor acquisitions with 4 properties.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 80.9% of investor-owned homes.
The market is highly concentrated at the smallest scale, with single-property landlords alone owning 2,047 properties, or 55.2% of the entire investor portfolio. Institutional investors with over 1,000 properties have a negligible footprint, controlling only 15 properties (0.4%).
Ownership by Tier & Type
Companies become the majority owners in portfolios of 21-50 properties, controlling 83.9% of homes in that tier.
Individual investors overwhelmingly dominate smaller portfolios, owning 95.2% of single-property holdings and over 63% in all tiers up to 20 properties. The transition to corporate ownership is stark, with companies controlling the majority in all tiers above 21 properties.
Geographic Distribution
Investor activity is highly concentrated, with the 63857 zip code alone holding 1,475 investor-owned properties.
Two zip codes, 63880 and 63875, are entirely investor-owned with a 100.0% ownership rate. The top five zip codes by investor property count collectively hold 2,931 properties, representing the bulk of investor activity in the county.
Historical Transactions
Landlords in Dunklin County are aggressive net buyers, acquiring 1.89 properties for every one they sold in Q1 2026.
This trend of accumulation is consistent over time, with landlords maintaining a net buyer position every quarter and year on record. In contrast, institutional investors have shown signs of retreat, operating as net sellers in Q3 2025 by selling 3 properties while only buying 2.
Current Quarter Transactions
In Q1 2026, landlords were involved in 57.9% of all SFR transactions in the county.
Institutional investors paid 18.5% less than new single-property landlords, at $64,679 vs $79,404. Larger investors also sourced a high percentage of deals from other landlords, with the 1000+ tier acquiring 100% of its properties from existing investors.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors hold 3,476 properties, with individuals owning 79.5% of the portfolio.
Detailed Findings

Investors have a significant footprint in Dunklin County, holding 3,476 single-family residential properties, which constitutes 37.4% of the total 9,282 SFRs in the market.

The investor landscape is overwhelmingly controlled by 3,137 individual landlords, who own 2,765 properties, or 79.5% of the total investor portfolio. In contrast, 210 company landlords own the remaining 731 properties (21.0%).

A strong preference for all-cash ownership is evident, with 2,775 properties held free of financing. This is nearly four times the number of financed properties (701), indicating a market with high liquidity and less reliance on leverage.

The portfolio is heavily geared towards rental income, with 3,387 of the 3,476 properties classified as rented. This demonstrates that the primary strategy for investors in this market is long-term rental holds rather than short-term flips.

The ownership structure reveals a clear pattern: individual landlords form the backbone of the market, while a smaller number of more concentrated company investors also operate. The ratio of individual to company landlords is nearly 15-to-1 (3,137 vs 210).

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 55.3% less than homeowners, a massive $89,687 discount.
Detailed Findings

Landlords in Dunklin County demonstrate a powerful pricing advantage, acquiring properties in Q1 2026 for an average of $72,479. This is 55.3% less than the $162,166 paid by traditional homeowners, translating to an $89,687 discount per property.

The price gap between landlords and homeowners has shown significant volatility. In Q2 2025, landlords achieved their largest recent discount at 67.9% ($113,158), while the gap narrowed to just 5.0% ($8,033) in Q3 2025, highlighting a dynamic and opportunistic purchasing strategy.

Historical pricing data shows a steady but modest appreciation in the prices landlords were willing to pay. The average acquisition price during the 2020-2023 period was $97,694, which rose to an average of $113,479 for the full year of 2024.

While acquisition volume was low, the sharp drop in the average Q1 2026 landlord purchase price ($72,479) compared to prior years suggests a strategic shift towards lower-cost assets or a greater availability of distressed properties.

This consistent ability to purchase properties well below the average homeowner price is a key driver of investor activity and profitability in the Dunklin County market, giving them a distinct competitive edge in real estate investing.

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
During Q4 2025, landlords acquired 51.3% of all SFR properties sold in the market.
Detailed Findings

Investor purchasing was a dominant force in the Q4 2025 market, with landlords acquiring 59 of the 115 total SFRs sold, a market share of 51.3%.

Small-scale investors were the primary drivers of this activity. Mom-and-pop landlords, operating in Tiers 01-04 (1-10 properties), were responsible for 31 of the 59 purchases, representing 50.8% of all investor acquisitions.

New entrants and single-property landlords were particularly active, with 35 different entities in this tier purchasing 26 properties, making up 42.6% of all investor-bought homes for the quarter.

Mid-size investors also played a significant role. The 'Medium-large' tier (51-100 properties) was the second most active, with just two entities acquiring 20 properties, showcasing highly concentrated purchasing power.

Institutional investors (1000+ properties) had a minimal presence, with two entities purchasing a combined 4 properties. This represents just 6.6% of investor activity, underscoring that the market is driven by smaller operators, not large corporations.

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 80.9% of investor-owned homes.
Detailed Findings

The investor market in Dunklin County is defined by small-scale ownership. Mom-and-pop landlords (Tiers 01-04, holding 1-10 properties) collectively own 80.9% of all investor-held SFRs.

Single-property landlords are the bedrock of the market, with 2,047 properties in this tier alone. This accounts for 55.2% of all investor-owned housing, highlighting the importance of first-time and small-scale investors.

As portfolio sizes increase, the number of properties drops off significantly. Mid-size landlords (11-1000 properties) control 18.7% of the portfolio, demonstrating a steep decline in ownership concentration past the 10-property mark.

Institutional ownership (Tier 09, 1000+ properties) is virtually nonexistent in this market. These large-scale investors own a mere 15 properties, which is only 0.4% of the total investor portfolio, challenging any narrative of corporate dominance.

The data clearly illustrates a highly fragmented ownership landscape, where the vast majority of rental properties are managed by local, small-portfolio individuals rather than large, out-of-market corporations.

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

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority owners in portfolios of 21-50 properties, controlling 83.9% of homes in that tier.
Detailed Findings

Individual investors form the foundation of the market, controlling the vast majority of properties in smaller portfolio tiers. They own 95.2% of single-property holdings and maintain a majority share in all tiers up to the 11-20 property level.

The crossover to corporate dominance occurs decisively at the 21-50 property tier. In this category, companies own 214 properties (83.9%), while individuals own only 41 (16.1%), marking a clear shift in ownership structure for larger portfolios.

This pattern continues into the next tier (51-100 properties), where companies own 120 properties, representing a 69.4% majority share.

Even within the smallest tiers, companies maintain a presence, owning 98 properties (4.8%) in the single-property tier and 75 properties (36.2%) in the 6-10 property tier, indicating that incorporating is a strategy used by landlords of all sizes.

The data suggests a lifecycle for investors: individuals start and grow small portfolios, but scaling beyond 20 properties often involves transitioning to a more formal corporate structure for management and liability purposes.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 63857 zip code alone holding 1,475 investor-owned properties.
Detailed Findings

Investor ownership is heavily concentrated in a few key zip codes within Dunklin County. The 63857 zip code is the epicenter, containing 1,475 investor-owned properties, which represents a 36.2% ownership rate for that area.

Several smaller zip codes exhibit extreme levels of investor saturation. Both 63880 and 63875 report a 100.0% investor ownership rate, suggesting these areas may consist entirely of rental communities or have unique land use characteristics.

The top five zip codes by sheer volume of investor properties (63857, 63863, 63933, 63876, 63837) together account for 2,931 properties, highlighting a clear geographic focus for investment.

There is a notable difference between areas with the highest count versus the highest percentage of investor ownership. For instance, 63837 has a high rate (49.2%) and a high count (204), while 63847 has an extremely high rate (84.6%) but a smaller number of total properties.

This geographic analysis reveals specific submarkets where investors are the dominant players, information critical for anyone analyzing local market dynamics or seeking to understand rental saturation with detailed assessor data.

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 Dunklin County are aggressive net buyers, acquiring 1.89 properties for every one they sold in Q1 2026.
Detailed Findings

The overall investor market in Dunklin County is in a strong accumulation phase. In Q1 2026, landlords purchased 106 properties while selling only 56, establishing a firm net buyer position with a buy-to-sell ratio of 1.89x.

This net buying trend has been consistent historically. Throughout 2025, landlords acquired 664 properties and sold 401, and in 2024 they bought 222 while selling just 55, signaling a sustained strategy of portfolio growth across the market.

Institutional investors (1000+ tier) exhibit a more cautious and volatile pattern. Their most recent activity in Q3 2025 shows them as net sellers, disposing of more properties than they acquired (2 buys vs. 3 sells).

However, looking at the full year of 2025, institutional investors were slight net buyers, acquiring 12 properties and selling 6. This contrasts with the broader market's aggressive growth, suggesting large investors are either rebalancing portfolios or reducing exposure in this specific county.

The divergence is clear: while small and mid-size landlords are consistently expanding their holdings, the largest institutional players are not following the same aggressive growth trajectory and have recently divested assets.

Current Quarter Transactions

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

Key Insight
In Q1 2026, landlords were involved in 57.9% of all SFR transactions in the county.
Detailed Findings

Investor activity dominated the market in Q1 2026, with landlords participating in 106 of the 183 total SFR transactions, a commanding 57.9% share of all market activity.

A clear pricing advantage exists for larger, more experienced investors. Institutional buyers (1000+ tier) acquired properties for an average of $64,679, which is 18.5% less than the $79,404 average paid by single-property landlords, suggesting superior deal-sourcing or negotiating power.

Larger investors heavily engage in inter-landlord trading. Both the 'Large' (101-1000) and 'Institutional' (1000+) tiers acquired 100% of their properties from other landlords, indicating a mature market where portfolios are traded between established players.

In contrast, new single-property landlords sourced only 8.6% of their acquisitions from other landlords, suggesting they primarily buy from traditional homeowners or off-market sources.

The most transaction volume came from the 'Medium-large' (51-100) tier, which was responsible for 56 transactions. This tier also had a high rate of inter-landlord activity, with 66.1% of its purchases coming from other investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Dominated by mom-and-pop owners, Dunklin County's investor market captures 37.4% of all homes and buys at a 55.3% discount.
Holdings
Investors own 3,476 SFR properties in Dunklin County, MO, representing 37.4% of the county's market. Individual investors hold the vast majority with 2,765 properties (79.5%), while companies own the remaining 731 (21.0%).
Pricing
In Q1 2026, landlords secured properties at a massive 55.3% discount compared to traditional homeowners, paying an average of $72,479 versus the homeowner price of $162,166.
Activity
Landlords dominated Q1 2026 market activity, accounting for 57.9% of all transactions (106 of 183). Single-property landlords were highly active, responsible for 35 of these transactions.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market, owning 80.9% of all investor-held housing. In stark contrast, institutional investors (1000+ properties) hold a mere 0.4% share.
Ownership Type
Individual investors command smaller portfolios, but companies become the majority owners in tiers of 21 properties or more, where they control over 83.9% of the homes.
Transactions
Landlords are aggressive net buyers with a 1.89x buy-to-sell ratio in Q1 2026 (106 buys vs 56 sells). However, institutional investors were most recently net sellers, signaling potential divestment.
Market Narrative

In Dunklin County, MO, the market reports a landscape heavily shaped by real estate investors, who own 3,476 single-family homes, a substantial 37.4% of the entire market. This ownership is not driven by large corporations; rather, it's dominated by 3,137 individual 'mom-and-pop' landlords who control 79.5% of the investor portfolio. These small-scale operators (1-10 properties) collectively own a staggering 80.9% of all investor-held housing, while institutional firms with over 1,000 properties have a negligible presence, holding just 0.4%.

Investor behavior in Dunklin County is characterized by aggressive acquisition and sharp pricing advantages. In Q1 2026, landlords were involved in 57.9% of all property transactions, consistently operating as net buyers with a 1.89-to-1 buy-to-sell ratio. They demonstrate an exceptional ability to acquire assets below market value, paying an average of just $72,479 in Q1, a massive 55.3% discount compared to the $162,166 paid by traditional homeowners. This pattern suggests a focus on distressed or off-market properties, a strategy that is particularly pronounced among larger investors who paid 18.5% less than their single-property counterparts.

The key takeaway from the data is a story of a highly localized, fragmented, and opportunistic investor market. The narrative of 'Wall Street buying up Main Street' does not apply here. Instead, the market's dynamics are dictated by thousands of small, local investors who are adept at finding deals and are actively growing their portfolios. While landlords overall are in a strong accumulation phase, the largest institutional players show signs of retreat, operating as net sellers in their most recent activity, creating a clear divergence in strategy between market segments.

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 21, 2026 at 09:09 PM
Data Period Q1 2026
Geography Level County
Geography Dunklin (MO)
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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 Dunklin (MO) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mo-dunklin/. Licensed under CC BY-NC-ND 4.0.