Kossuth (IA) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Kossuth (IA)
5,053
Total Investors in Kossuth (IA)
825
Investor Owned SFR in Kossuth (IA)
772(15.3%)
Individual Landlords
Landlords
723
SFR Owned
610
Corporate Landlords
Landlords
102
SFR Owned
171
Understanding Property Counts

Distinct Count Methodology: The total 772 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 Kossuth County with 92% Share, Acquiring Properties at 63% Below Homeowner Prices
Investors own 772 SFR properties in Kossuth County (15.3% of the market), with small mom-and-pop landlords controlling an overwhelming 91.9% share. In Q4 2025, investors purchased 21.7% of homes for sale, securing them at an average 62.5% discount compared to traditional homeowners. While the overall market is in a strong accumulation phase, institutional investors remained neutral, signaling different strategies between small and large-scale players.
Landlord Owned Current Holdings
Investors own 772 SFR properties in Kossuth County, with individuals holding a 79.0% majority.
Cash is the dominant financing method, used for 580 properties compared to just 192 that are financed. An analysis of holdings shows 751 of 772 properties are rented, indicating a 97.3% focus on non-owner-occupied rentals.
Landlord vs Traditional Homeowners
Landlords acquired properties for $59,279 in Q4, a staggering 62.5% discount compared to homeowners.
The price gap between landlords and homeowners widened dramatically throughout 2025, growing from a 26.3% discount in Q1 to 62.5% in Q4. This trend suggests landlords are increasingly targeting undervalued or distressed assets.
Current Quarter Purchases
Landlords purchased 21.7% of all SFR properties sold in Kossuth County during Q4 2025.
Mom-and-pop landlords (1-10 properties) drove the activity, accounting for 69.2% of all investor purchases. In Q4, 4 new single-property landlords entered the market, while institutional investors made only one purchase.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control 91.9% of investor-owned SFRs.
Institutional investors with over 1,000 properties have a negligible footprint, owning just 3 homes, or 0.4% of the investor-owned market. Single-property landlords alone own 534 properties, representing 67.4% of the total.
Ownership by Tier & Type
Individual investors are the majority property owners across all small and mid-size tiers.
Company ownership share grows with portfolio size, starting at 12.6% for single-property landlords and rising to 37.8% for those owning 6-10 properties. The data does not show a tier where companies become the majority, indicating it only happens in larger portfolios.
Geographic Distribution
The 50511 zip code is the epicenter of investor activity, holding 360 investor-owned properties.
While 50511 has the highest count, the 50430 zip code has the highest penetration rate, with investors owning 50.0% of its SFRs. Several zip codes, including 50558 and 50570, have no recorded investor-owned properties.
Historical Transactions
Landlords in Kossuth County are strong net buyers, acquiring 88 properties while selling only 10 in 2025.
This accumulation trend is consistent, with a 7-to-1 buy-to-sell ratio in Q4 2025 (14 buys vs 2 sells). In contrast, institutional investors were neutral in Q4, with one purchase and one sale.
Current Quarter Transactions
Investors were involved in 16.1% of all Q4 2025 property transactions in Kossuth County.
A significant pricing disparity exists, with institutional investors paying 23.9% less per property ($50,870) than new single-property landlords ($66,875). Notably, 0% of investor purchases in Q4 were sourced from other landlords.

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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 772 SFR properties in Kossuth County, with individuals holding a 79.0% majority.
Detailed Findings

In Kossuth County, landlords hold a significant portfolio of 772 Single-Family Residential (SFR) properties, representing 15.3% of the total 5,053 SFRs in the market.

Individual investors are the backbone of the local rental market, owning 610 properties, which constitutes a 79.0% majority of all investor-owned SFRs. In contrast, company-owned properties number 171, making up the remaining 22.2%.

The investor landscape is composed of 825 distinct landlord entities, with individual landlords (723) outnumbering company landlords (102) by a ratio of more than 7-to-1. This highlights the highly fragmented and small-scale nature of property investment in the county.

Cash transactions dominate investor holdings, with 580 properties owned outright, more than triple the 192 properties that are financed. This suggests a market with low leverage and high liquidity among investors.

The portfolio is overwhelmingly geared towards rental income, as 751 of the 772 investor-owned properties are classified as rented. This 97.3% rental penetration rate confirms that the vast majority of these properties are actively serving as housing for tenants.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired properties for $59,279 in Q4, a staggering 62.5% discount compared to homeowners.
Detailed Findings

In Q4 2025, landlords in Kossuth County achieved a remarkable pricing advantage, paying an average of just $59,279 per property. This was 62.5% less than the $157,867 average paid by traditional homeowners, resulting in a per-property discount of $98,588.

The discount secured by investors widened significantly over the course of the year. It began at 26.3% ($46,974) in Q1 2025 and expanded each quarter, hitting 43.9% in Q2, 68.4% in Q3, and landing at 62.5% in Q4, indicating an increasing focus on deeply discounted properties.

While homeowner prices remained relatively stable, fluctuating between $157,867 and $198,971 throughout 2025, average landlord acquisition prices saw a steep decline. Prices fell from $131,332 in Q1 to $59,279 in Q4, reinforcing the strategy of pursuing lower-cost assets.

The pandemic-era (2020-2023) average acquisition price for landlords was $69,876. The Q4 2025 average of $59,279 is substantially lower, suggesting that current purchasing strategies differ significantly from the boom years and are not driven by broad market appreciation.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords purchased 21.7% of all SFR properties sold in Kossuth County during Q4 2025.
Detailed Findings

Investor activity accounted for a significant portion of the Q4 2025 market, with landlords acquiring 13 of the 60 total SFR properties sold, a market share of 21.7%.

Small investors were the primary drivers of acquisition activity. Mom-and-pop landlords (Tiers 01-04) collectively purchased 9 properties, representing 69.2% of all investor acquisitions for the quarter.

The market continues to attract new participants, with 4 new single-property landlords making their first purchase in Q4. This tier alone accounted for 30.8% of all investor-bought properties.

In stark contrast to small investor activity, institutional-level landlords (1,000+ properties) were minimally active, purchasing only a single property. This amounted to just 7.7% of the investor total, underscoring their limited role in the local market.

Mid-size investors also contributed to the quarter's activity, with landlords in the 21-50 and 101-1,000 property tiers each acquiring properties, though their combined volume was less than that of new single-property landlords.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control 91.9% of investor-owned SFRs.
Detailed Findings

The investor landscape in Kossuth County is overwhelmingly dominated by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties (Tiers 01-04), control a combined 91.9% of all investor-owned SFRs.

Single-property landlords (Tier 01) form the largest single segment, owning 534 properties. This represents 67.4% of all investor-held housing, highlighting the market's reliance on first-time and small-scale investors.

Mid-size landlords (11-1,000 properties) collectively own 5.7% of the investor portfolio, indicating a steep drop-off in ownership concentration as portfolio sizes increase.

Institutional investors (Tier 09, 1,000+ properties) have a minimal presence in the county, holding just 3 properties, which amounts to only 0.4% of the total investor-owned stock. This data defies any narrative of large corporate dominance in the local market.

The distribution clearly shows a highly fragmented market structure, with the vast majority of rental housing provided by local, small-portfolio owners rather than large, consolidated entities.

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
Individual investors are the majority property owners across all small and mid-size tiers.
Detailed Findings

Individual investors form the bedrock of ownership across every small-to-midsize portfolio tier in Kossuth County. In the single-property tier, individuals own 473 of the 534 homes (87.4%).

As portfolio sizes increase, company ownership becomes more prevalent, indicating a trend towards professionalization. For two-property landlords, company ownership is 26.9%, and it rises to 37.8% for landlords in the 6-10 property tier.

Despite this trend, individuals maintain a strong majority even in larger small-scale portfolios. For landlords owning 3-5 properties, individuals still own 69 homes (87.3%), demonstrating their sustained presence beyond entry-level investing.

The data does not reveal a crossover point where companies become the majority owner. This indicates that such a shift only occurs in portfolios larger than 10 properties, a segment that represents a very small fraction of the local market.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 50511 zip code is the epicenter of investor activity, holding 360 investor-owned properties.
Detailed Findings

Investor ownership in Kossuth County is highly concentrated geographically, with the 50511 zip code containing 360 investor-owned properties. This single area accounts for 46.6% of all investor-owned SFRs in the county.

Analysis of ownership rates reveals a different pattern than raw counts. The 50430 zip code has the highest investor penetration at 50.0%, followed by 50590 at 22.0% and 50451 at 21.2%. This indicates smaller micro-markets with very high rental density.

The top 5 zip codes by property count (50511, 50517, 50522, 50480, 50451) collectively hold 521 properties, representing 67.5% of the total investor portfolio and highlighting significant regional clustering.

There is a clear distinction between areas with high investor volume and those with high investor penetration rates. For example, 50511 leads in count but has a modest 14.1% ownership rate, whereas 50430 leads in rate but has a much smaller total count.

Several zip codes appear to have no investor presence at all, including 50558, 50570, and 50578, suggesting these areas are dominated entirely by owner-occupiers.

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 in Kossuth County are strong net buyers, acquiring 88 properties while selling only 10 in 2025.
Detailed Findings

Investors in Kossuth County are in a strong accumulation phase, consistently buying more properties than they sell. For the full year of 2025, landlords purchased 88 SFRs and sold only 10, establishing themselves as decisive net buyers.

The net buying trend held steady throughout the year. In Q4 2025, investors bought 14 properties and sold just 2, a buy/sell ratio of 7.0x. This mirrors Q3 activity (14 buys, 2 sells) and follows a strong Q2 (24 buys, 3 sells).

This behavior represents an acceleration of activity compared to the prior year. In 2024, landlords were also net buyers but at a lower velocity, with 63 purchases and 17 sales.

Institutional investors (1,000+ properties) displayed a different, more balanced strategy. In Q4 2025, they were perfectly neutral, with one acquisition and one disposition. For the full year, they were slight net buyers, acquiring 4 properties and selling 1.

The data demonstrates a clear divergence in strategy: the broader market of smaller landlords is aggressively expanding portfolios, while the single institutional player is operating with a more cautious, balanced approach.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Investors were involved in 16.1% of all Q4 2025 property transactions in Kossuth County.
Detailed Findings

In Q4 2025, landlords participated in 14 of the 87 total SFR transactions, capturing a 16.1% share of all market activity.

A clear pricing advantage emerges for larger, more experienced investors. The institutional buyer paid an average of $50,870, while the four new single-property landlords paid an average of $66,875. This reflects a 23.9% discount for the institutional player compared to the market's newest entrants.

The most active buyers were mom-and-pop landlords (Tiers 01-04), who were responsible for 10 of the 14 investor transactions. This reinforces that small investors are the primary drivers of market liquidity.

Interestingly, none of the 14 investor purchases in Q4 were from other landlords. This 0% inter-landlord transaction rate suggests that investors are acquiring properties from homeowners or new inventory, not from each other, indicating a buy-and-hold mentality prevails.

Price points varied significantly across tiers, with the highest price paid by the small-medium tier ($115,000) and the lowest by the large tier ($38,015), showcasing diverse acquisition strategies across different investor sizes.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Dominate Kossuth County with 91.9% Share, Acquiring Properties at 62.5% Discounts
Holdings
Landlords own 772 SFR properties, representing 15.3% of Kossuth County's market, with individual investors holding 610 (79.0%) and companies owning 171 (22.2%).
Pricing
Landlords paid 62.5% less than homeowners in Q4, securing an average discount of $98,588 per property ($59,279 vs $157,867).
Activity
In Q4 2025, landlords purchased 13 properties, accounting for 21.7% of all sales, which included the creation of 4 new single-property landlords.
Market Share
Small landlords owning 1-10 properties control 91.9% of all investor housing, while institutional investors with 1,000+ properties own just 0.4%.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, and while company ownership share increases with portfolio size, individuals remain the majority owner in all tiers under 11 properties.
Transactions
Landlords are strong net buyers with a 7.0x buy/sell ratio in Q4 (14 buys vs 2 sells), while the single institutional investor was neutral (1 buy vs 1 sell).
Market Narrative

The single-family rental market in Kossuth County, IA, is fundamentally shaped by small, individual investors. Landlords own 772 properties, comprising 15.3% of the total SFR housing stock. This portfolio is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who hold a commanding 91.9% share. In contrast, institutional investors own just 0.4% of the market. Ownership is primarily in the hands of individuals (79.0%) rather than companies (22.2%), underscoring a fragmented market structure built on local capital.

Investor behavior in Q4 2025 was characterized by strategic acquisitions and significant pricing power. Landlords purchased 21.7% of all homes sold during the quarter, securing them at an average price of $59,279—a staggering 62.5% discount compared to the $157,867 paid by traditional homeowners. The market is in a clear accumulation phase, with landlords acting as strong net buyers (14 purchases vs. 2 sales in Q4). This contrasts with the county's single institutional player, which remained neutral, signaling a divergence in strategy between large and small investors.

The key takeaway is that Kossuth County's housing market is not driven by Wall Street, but by small-scale, local landlords. These investors are demonstrating sophisticated acquisition strategies, consistently purchasing properties far below market rates paid by homeowners. With no properties traded between investors in Q4, the prevailing trend is buy-and-hold, which adds stability to the rental supply but also indicates that investors are absorbing inventory from the owner-occupied market.

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.

TierPropertiesCategory
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 GeneratedMarch 12, 2026 at 01:10 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyKossuth (IA)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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
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
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
Chart Section11 Institutional
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Chart Section11 Institutional Price
Chart Section11 Institutional Price
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail