Clinton (IA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Clinton (IA)
15,361
Total Investors in Clinton (IA)
1,601
Investor Owned SFR in Clinton (IA)
1,708(11.1%)
Individual Landlords
Landlords
1,257
SFR Owned
1,082
Corporate Landlords
Landlords
344
SFR Owned
643
Understanding Property Counts

Distinct Count Methodology: The total 1,708 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 Clinton County, Controlling 88.2% of Rentals and Buying at a 47.2% Discount
Investors own 1,708 single-family properties in Clinton County, representing 11.1% of the market. Small-scale landlords (1-10 properties) control 88.2% of this portfolio, while large institutional firms own just 0.7%. In Q1, investors demonstrated significant buying power, acquiring properties for 47.2% less than traditional homeowners and acting as strong net buyers.
Landlord Owned Current Holdings
Investors own 1,708 properties in Clinton County, with individuals holding a 63.3% majority share.
Investors heavily favor cash purchases, holding 1,322 properties in cash versus 386 with financing. The portfolio is overwhelmingly rental-focused, with 1,585 of the 1,708 properties identified as rented. Individual landlords (1,257) outnumber company landlords (344) by more than 3.6 to 1.
Landlord vs Traditional Homeowners
Landlords in Clinton County paid 47.2% less than homeowners in Q1, a $104,054 average discount per property.
This price gap has narrowed from Q3 2025, when the discount was 53.2% ($109,121). The average landlord purchase price in Q1 2026 ($116,529) is below the 2024 average of $126,067, signaling a potential market cooling for investor-targeted assets.
Current Quarter Purchases
Landlords purchased 16.2% of all SFR properties sold in the last quarter, acquiring 23 of the 142 homes on the market.
Mom-and-pop landlords dominated this buying activity, accounting for 14 properties, or 60.9% of all investor purchases. The market also saw an influx of new investors, with 15 single-property landlord entities acquiring 12 homes.
Ownership by Tier
Mom-and-pop landlords control a staggering 88.2% of Clinton County's investor-owned housing stock.
Single-property landlords alone own 1,000 properties, representing 56.3% of the entire investor portfolio. In stark contrast, institutional investors (1000+ properties) own just 0.7%, or 12 properties total.
Ownership by Tier & Type
Companies become the majority owners once a portfolio reaches the 6-10 property tier, where they own 61.4% of assets.
Individual investors overwhelmingly control the entry-level, owning 80.1% of all single-property landlord portfolios. However, by the time a portfolio grows to 21-50 properties, companies control nearly all assets at 98.7%.
Geographic Distribution
Investor activity in Clinton County is highly concentrated, with the 52037 zip code serving as the primary hub.
The 52037 zip code contains 20 investor-owned properties, where landlords have a 6.4% ownership rate. Other areas like 52060 show minimal activity with just 3 properties, indicating a very localized investment strategy.
Historical Transactions
Landlords are strong net buyers in Clinton County, acquiring 3.25 properties for every 1 they sold in Q1 2026.
This aggressive accumulation is a consistent trend, following a 2.1x buy-to-sell ratio in 2025 and a 3.0x ratio in 2024. Institutional investors, while far less active, were also slight net buyers in 2024, purchasing 5 properties while selling 4.
Current Quarter Transactions
Landlords were involved in 14.1% of all Q1 transactions, purchasing 26 properties during the quarter.
A stark pricing difference emerged, as single-property buyers paid the highest average price ($171,269), which was 39.4% more than what institutional investors paid ($103,797). New landlords were active in the secondary market, sourcing 20.0% of their purchases directly from other 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 own 1,708 properties in Clinton County, with individuals holding a 63.3% majority share.
Detailed Findings

In Clinton County, investors hold a portfolio of 1,708 Single-Family Residential (SFR) properties, making up 11.1% of the total 15,361 SFRs in the market. This demonstrates a significant, yet not dominant, investor presence in the local housing landscape.

Individual investors are the primary drivers of the rental market, owning 1,082 properties, which accounts for 63.3% of all investor-owned SFRs. In contrast, company-owned portfolios consist of 643 properties, or 37.6% of the total, underscoring the market's reliance on smaller, non-corporate landlords.

A strong preference for cash transactions is evident, with 1,322 properties owned outright, far surpassing the 386 that are financed. This 3.4-to-1 cash-to-finance ratio suggests that many investors operate with high liquidity and may not rely on traditional lending to expand their portfolios.

The operational focus of these portfolios is clearly on generating rental income. An overwhelming 1,585 of the 1,708 investor-owned properties are rented, indicating that nearly 93% of the inventory is actively used as rental housing rather than being held for other purposes like flipping or personal use.

The entity landscape mirrors the property ownership trend. There are 1,601 distinct landlords in the county, with individuals comprising the vast majority at 1,257 entities, compared to just 344 company entities. This highlights the granular, community-level nature of real estate investing in the area.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords in Clinton County paid 47.2% less than homeowners in Q1, a $104,054 average discount per property.
Detailed Findings

Investors in Clinton County exhibit a remarkable ability to acquire properties at a significant discount. In Q1 2026, the average landlord acquisition price was $116,529, a full 47.2% lower than the $220,583 paid by traditional homeowners, saving them an average of $104,054 per purchase.

This substantial pricing advantage, while still massive, shows signs of narrowing. The 47.2% discount in Q1 is less pronounced than the gaps seen in mid-2025, which reached as high as 54.0% in Q2 ($99,604 discount) and 53.2% in Q3 ($109,121 discount). This could indicate increasing competition for undervalued assets.

The Q1 2026 average price of $116,529 also represents a decrease from the full-year 2024 average of $126,067. This trend suggests that investors may be shifting their focus toward lower-priced properties or that the market for distressed assets has softened recently.

The consistent ability to purchase well below the typical market rate suggests that investors are successfully targeting off-market deals, distressed properties, or sellers who prioritize a fast, certain cash closing over achieving the maximum possible price.

This pricing behavior is a core component of the local investor strategy, allowing for healthier margins on rental properties or renovation projects. The deep discounts create a buffer against market fluctuations and are fundamental to their business model.

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 purchased 16.2% of all SFR properties sold in the last quarter, acquiring 23 of the 142 homes on the market.
Detailed Findings

Investor purchasing activity was robust in the most recent quarter, with landlords acquiring 23 of the 142 SFRs sold, capturing a 16.2% market share of all transactions. This level of activity indicates a sustained appetite for expanding local rental portfolios.

The driving force behind these purchases was small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 14 of the 23 acquisitions, representing 60.9% of all landlord buying activity and confirming their role as the primary source of new rental stock.

A significant wave of new participants entered the market. The single-property (Tier 01) category saw 15 new landlord entities purchase 12 properties, accounting for over half (52.2%) of all properties bought by investors. This signals a healthy and accessible entry point for first-time landlords in Clinton County.

In contrast, institutional-level activity was minimal. Investors in the 1000+ property tier purchased only 2 properties, making up just 8.7% of the investor total. This highlights a market dynamic defined by local entrepreneurs rather than large corporations.

The activity was spread across various small to mid-size tiers, including acquisitions by landlords in the 11-20 and 21-50 property brackets, showcasing a multi-layered investor ecosystem where landlords at different growth stages are actively acquiring properties.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a staggering 88.2% of Clinton County's investor-owned housing stock.
Detailed Findings

The investor landscape in Clinton County is unequivocally dominated by small-scale operators. Landlords owning between 1 and 10 properties (Tiers 01-04) collectively control 88.2% of all investor-held SFRs, challenging the narrative of corporate landlord dominance.

The base of this market is built on single-property landlords. This group alone owns 1,000 properties, accounting for 56.3% of the total investor-owned portfolio. This demonstrates that the typical landlord is a small, local investor, not a distant institution.

Mid-size investors (11-100 properties) hold a combined 10.6% of the portfolio. This segment, while smaller, represents a class of professional or semi-professional landlords who have scaled beyond their first few properties.

The presence of large and institutional investors is almost negligible. Landlords in the 'Large' (101-1000) and 'Institutional' (1000+) tiers together own just 22 properties, or 1.3% of the investor market. The institutional share specifically is a mere 0.7%.

This distribution reveals a highly fragmented and democratized rental market. The overwhelming majority of rental housing provided by investors comes from local community members, a key insight for understanding the local housing market's structure and dynamics.

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 once a portfolio reaches the 6-10 property tier, where they own 61.4% of assets.
Detailed Findings

A clear ownership pattern emerges across portfolio sizes: individuals dominate the entry-level, while companies take over as portfolios scale. Individual landlords own 80.1% of single-property portfolios and 66.7% of two-property portfolios, establishing them as the foundation of the market.

The transition from personal to corporate ownership appears to happen in the 6-10 property range (Tier 04). At this stage, company ownership jumps to 61.4%, surpassing individuals for the first time. This suggests that as operations grow more complex, landlords tend to incorporate for liability and financial reasons.

Once a portfolio surpasses 20 properties, it is almost exclusively company-owned. In the 21-50 property tier, companies own 74 of the 75 properties, a commanding 98.7% share. This indicates that significant scale in real estate investment is synonymous with a corporate structure in this market.

Even in the 3-5 property tier, a significant portion (38.2%) is already held by companies, showing that some investors choose to incorporate their holdings early in their journey. This strategic decision can offer benefits long before a portfolio becomes large.

This analysis of ownership by tier and type provides a roadmap of the typical investor's lifecycle in Clinton County, starting as an individual and evolving into a formal business entity as their portfolio expands.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Clinton County is highly concentrated, with the 52037 zip code serving as the primary hub.
Detailed Findings

Geographic analysis reveals that investor ownership in Clinton County is not widespread but rather concentrated in specific pockets. The 52037 zip code stands out as the main center of activity, containing 20 of the identified investor-owned properties.

In this core investment area of 52037, the landlord ownership rate is 6.4%. This penetration level indicates a notable but not overwhelming investor presence, suggesting a balanced market with traditional homeowners.

Outside of this primary zip code, investor presence drops off sharply. For example, the 52060 zip code contains only 3 investor-owned properties. This pattern suggests that investors are targeting very specific neighborhoods or communities rather than applying a broad, county-wide strategy.

The available assessor data for other zip codes shows negligible or non-existent investor activity, reinforcing the idea of a hyper-local focus. Investors appear to have identified specific areas with favorable conditions, such as high rental demand or undervalued properties, and focused their capital there.

This concentration has important implications. It means that the impact of investor activity, both positive and negative, is likely felt most acutely in a few key neighborhoods rather than across the entire county.

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
Key Insight
Landlords are strong net buyers in Clinton County, acquiring 3.25 properties for every 1 they sold in Q1 2026.
Detailed Findings

Transaction data reveals a clear and sustained trend of portfolio growth among Clinton County landlords. In Q1 2026, investors were aggressive net buyers, purchasing 26 properties while selling only 8, resulting in a net gain of 18 properties and a 3.25-to-1 buy/sell ratio.

This pattern of accumulation is not new. In 2025, landlords bought 110 properties and sold 52 (a 2.1x ratio), and in 2024, they were even more aggressive with 153 buys versus 51 sells (a 3.0x ratio). This multi-year trend signals strong, long-term confidence in the local rental market.

Even the market's smallest investor segment, institutional firms, are in a mode of slight accumulation. In 2024, they were net buyers by a margin of one property, with 5 acquisitions against 4 dispositions.

The consistent net buying behavior indicates that investors are not merely flipping properties but are focused on long-term holds to build their rental portfolios. This activity directly contributes to the supply of rental housing in the county.

The high volume of acquisitions compared to sales suggests a liquid and active market where investors are consistently finding new opportunities to deploy capital, further solidifying their presence in the local housing ecosystem.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 14.1% of all Q1 transactions, purchasing 26 properties during the quarter.
Detailed Findings

In Q1, landlords played a significant role in market activity, participating in 14.1% of all 184 SFR transactions. Their 26 total purchases underscore a continued effort to expand local housing portfolios.

A fascinating pricing pattern emerged among different investor tiers. New, single-property landlords paid the highest average price at $171,269. This may suggest they are buying more turn-key, retail-priced properties as they enter the market.

In sharp contrast, the most experienced institutional buyers paid an average of just $103,797, securing a 39.4% discount compared to their single-property counterparts. This price gap highlights the strategic advantage of scale and expertise, likely targeting distressed or off-market assets that require renovation.

The market for investor-to-investor sales is active. Single-property landlords acquired 3 of their 15 properties from other investors, meaning 20.0% of their acquisitions came from the existing landlord pool. This demonstrates a healthy level of churn and liquidity within the investor community.

Mid-size investors also demonstrated shrewd purchasing, with those in the 11-20 property tier paying an average of just $38,100. This indicates that sophisticated deal-finding is not limited to the largest players but is a key strategy for experienced local operators as well.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords dominate Clinton County, controlling 88.2% of rentals and buying at a 47.2% discount
Holdings
Landlords own 1,708 single-family properties in Clinton County, 11.1% of the total market. Individual investors are the primary owners, holding 1,082 properties (63.3%) compared to 643 (37.6%) owned by companies.
Pricing
In Q1, landlords paid an average of 47.2% less than traditional homeowners, representing a significant price advantage of $104,054 per property ($116,529 vs. $220,583).
Activity
Investors were active in the last quarter, purchasing 16.2% of all homes sold (23 properties), with 15 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with an 88.2% share of investor-owned housing, while large institutional firms own just 0.7%.
Ownership Type
The transition from personal to corporate ownership occurs when a portfolio reaches 6-10 properties, the first tier where companies hold the majority (61.4%) of assets.
Transactions
Investors are strong net buyers with a 3.25-to-1 buy-to-sell ratio in Q1 (26 buys vs. 8 sells), a consistent trend of accumulation seen over the past several years.
Market Narrative

The single-family rental market in Clinton County, Iowa, is fundamentally shaped by small, local participants rather than large corporations. Investors own 1,708 properties, or 11.1% of the county's total SFR housing stock. This portfolio is firmly in the hands of 'mom-and-pop' landlords (1-10 properties), who control a commanding 88.2% of all investor-owned homes. Individual investors make up the bulk of this group, owning 63.3% of the properties, while institutional firms have a negligible footprint of just 0.7%. This structure points to a highly fragmented and community-based rental market.

Investor behavior is characterized by strategic acquisitions and consistent growth. In the most recent quarter, landlords purchased 16.2% of all homes sold, and they are strong net buyers with a 3.25-to-1 buy/sell ratio in Q1 2026. Their primary competitive advantage is pricing; investors acquired properties at a 47.2% discount compared to traditional homeowners in Q1. An interesting dynamic exists within the investor community, where new, single-property landlords pay the highest prices ($171,269), while larger institutional players secure the deepest discounts ($103,797), likely by targeting distressed or off-market opportunities.

The key takeaway from this market reports dashboard is that the Clinton County rental market is healthy, growing, and driven by local entrepreneurship. The narrative of 'Wall Street' buying up homes does not apply here. Instead, the data shows a market where new investors are continually entering, existing landlords are expanding their holdings, and sophisticated purchasing strategies create a stable supply of rental housing. The market's future will be dictated by the decisions of these thousands of small operators, not a handful of large firms.

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 11:06 AM
Data Period Q1 2026
Geography Level County
Geography Clinton (IA)
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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 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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How to cite this report

BatchData. (2026). Q1 2026 Clinton (IA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ia-clinton/. Licensed under CC BY-NC-ND 4.0.