Brown (KS) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Brown (KS)
2,932
Total Investors in Brown (KS)
850
Investor Owned SFR in Brown (KS)
728(24.8%)
Individual Landlords
Landlords
780
SFR Owned
604
Corporate Landlords
Landlords
70
SFR Owned
126
Understanding Property Counts

Distinct Count Methodology: The total 728 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 Investors Dominate Brown County, Owning 93.7% of Rentals and Driving All Q1 Activity
Investors own 728 Single-Family Residential properties in Brown County, KS, making up 24.8% of the total market. This portfolio is overwhelmingly controlled by small landlords (93.7%), with institutional investors holding just a single property. In the first quarter of 2026, landlords acted as net buyers and, in a notable reversal, paid a 32.3% premium over traditional homeowners.
Landlord Owned Current Holdings
Investors hold 728 SFRs in Brown County, with individual landlords owning 83.0% of the portfolio.
The vast majority of investor-owned properties are held with cash (595) rather than financing (133), a ratio of nearly 4.5 to 1. An analysis of holdings shows 705 of the 728 properties are rented, indicating a strong 96.8% rental focus.
Landlord vs Traditional Homeowners
In a striking market reversal, Q1 landlord purchases averaged $191,579, a 32.3% premium over homeowners.
This Q1 premium of $46,754 per property contrasts sharply with prior quarters, such as Q2 2025, when landlords secured a massive 89.6% discount. This pricing volatility is likely influenced by very low transaction volumes.
Current Quarter Purchases
Landlords purchased 9.1% of all Single-Family homes sold in the most recent quarter of activity.
All 100% of landlord purchasing activity came from mom-and-pop investors, specifically two new single-property landlords entering the market. Institutional investors with 1,000+ properties made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 93.7% of investor-owned SFRs.
In stark contrast, institutional investors with 1,000+ properties have a negligible presence, owning just one property, which accounts for only 0.1% of the total investor portfolio. Landlords with a single property are the largest group, holding 70.9% of all investor-owned homes.
Ownership by Tier & Type
Individuals dominate small portfolios, but companies become the majority owner for portfolios of 11 or more properties.
The clear crossover point occurs at the 11-20 property tier, where companies own 80.0% of the homes. In contrast, individuals own 92.3% of all single-property landlord portfolios, showing a distinct pattern of incorporating for growth.
Geographic Distribution
Investor ownership is highly concentrated, with two zip codes, 66434 and 66439, containing 70.9% of all investor properties.
The area with the highest investor penetration rate is zip code 66094, where 53.2% of homes are investor-owned. This is a different market from the volume leaders, highlighting a key distinction between total count and market share.
Historical Transactions
Landlords in Brown County are consistent net buyers, acquiring 2 properties for every 1 they sold in Q1 2026.
This trend of accumulation held throughout 2025, when investors purchased 28 properties and sold only 4, a 7-to-1 buy/sell ratio. Institutional investors were also net buyers, though their activity was minimal, with 2 purchases and 1 sale in 2025.
Current Quarter Transactions
In the first quarter, landlord purchases accounted for 6.7% of all real estate transactions.
All 2 of the landlord purchases were made by new single-property investors, who paid an average of $191,579. Notably, 0% of these acquisitions were from other landlords, indicating they bought from homeowners or new inventory.

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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 728 SFRs in Brown County, with individual landlords owning 83.0% of the portfolio.
Detailed Findings

In Brown County, landlords own 728 Single-Family Residential properties, representing a significant 24.8% of the total 2,932 SFRs in the market. This reveals a substantial investor presence within the local housing ecosystem.

The ownership structure is heavily skewed towards individuals over corporations. Individual landlords hold 604 properties, or 83.0% of the investor portfolio, while companies own the remaining 126 properties (17.3%).

A look at financing reveals a market characterized by low leverage. Investors own 595 properties with cash, compared to just 133 that are financed. This 4.5-to-1 cash-to-financed ratio suggests that most investors in the area are not heavily reliant on debt for their acquisitions.

The primary strategy for these holdings is clearly rental income. Of the 728 properties, 705 are classified as rented, a penetration of 96.8%. This underscores the role of these properties in providing rental housing stock for the county.

The landlord entity count further reinforces the dominance of small operators. There are 850 distinct landlords, with 780 being individuals and only 70 registered as companies. This near 11-to-1 ratio of individual-to-company entities points to a highly fragmented market composed of local, small-scale operators.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In a striking market reversal, Q1 landlord purchases averaged $191,579, a 32.3% premium over homeowners.
Detailed Findings

In the first quarter of 2026, landlords in Brown County paid a surprising premium for properties. Their average acquisition price of $191,579 was 32.3% higher than the $144,825 paid by traditional homeowners, representing a $46,754 price difference.

This trend is a stark reversal from previous periods. In Q2 2025, for example, landlords achieved an 89.6% discount, paying just $28,000 compared to the homeowner average of $270,436. Similarly, in Q1 2025, they paid 14.8% less than homeowners.

The dramatic swing from deep discounts to a significant premium suggests that low transaction volumes are creating high price volatility. With only a few landlord purchases in any given quarter, the average price can be heavily skewed by the specific properties acquired.

Comparing broader timeframes, the average landlord acquisition price in 2024 was $156,636, while the pandemic-era (2020-2023) average was significantly lower at $97,502. This demonstrates substantial price appreciation in the local market over the last few years.

The data does not provide a separate price breakdown for individual versus company buyers, but the overall trend indicates a dynamic pricing environment where the typical investor discount cannot be assumed in a market with limited activity.

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 9.1% of all Single-Family homes sold in the most recent quarter of activity.
Detailed Findings

Investor purchasing activity in the last quarter (Q4 2025) was modest but revealing. Landlords acquired 2 of the 22 total SFRs sold, capturing 9.1% of the market's purchase volume.

The activity was driven exclusively by the smallest investors. Both properties were purchased by new, single-property landlords (Tier 01), who collectively made up 100% of the quarter's investor buying.

This highlights a grassroots entry point into the local real estate investing market, with new participants driving all recent growth. There was no acquisition activity from mid-size or large landlords.

Institutional investors (Tier 09, 1,000+ properties) were completely inactive, making zero purchases during the quarter. This reinforces the notion that Brown County is not a target for large-scale corporate investment.

The limited purchase volume, with just two entities making acquisitions, demonstrates a quiet but steady market where growth comes from small, independent operators rather than large-scale portfolio expansion.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 93.7% of investor-owned SFRs.
Detailed Findings

The ownership structure in Brown County is definitively dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties (Tiers 01-04), collectively control 93.7% of all investor-owned SFRs.

Single-property landlords (Tier 01) form the bedrock of the market, owning 532 properties. This single tier accounts for 70.9% of the entire investor portfolio, highlighting the market's highly fragmented nature.

At the other end of the spectrum, institutional investors (Tier 09, 1,000+ properties) have a minimal footprint, with just one property representing 0.1% of the market. This data directly counters any narrative of large corporate landlord consolidation in the county.

Mid-size landlords (11-1,000 properties) also hold a relatively small share. Tiers 05 through 08 combined own just 46 properties, or 6.2% of the total investor-owned housing stock.

This distribution reveals a stable market structure heavily reliant on local, small operators. The path to entry appears accessible, as evidenced by the high concentration of single-property owners, while large-scale portfolio aggregation is virtually non-existent.

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
Individuals dominate small portfolios, but companies become the majority owner for portfolios of 11 or more properties.
Detailed Findings

A clear pattern emerges when analyzing ownership type by portfolio size: individuals dominate entry-level investing, while companies are the preferred vehicle for scaling. In the single-property tier, individuals own 493 of the 532 properties (92.3%).

This individual dominance continues through the smaller mom-and-pop tiers. For portfolios of 2 properties, individuals own 78.4%, and for those with 3-10 properties, they own over 71%.

The strategic shift to corporate ownership happens decisively at the 11-property mark. In the 11-20 property tier, companies own 12 of the 15 properties, an 80.0% majority share.

This trend intensifies further up the scale. For landlords with 21-50 properties, company ownership reaches 92.9%, demonstrating that incorporation is standard practice for managing larger local portfolios.

This data illustrates a common investor lifecycle in Brown County: individuals enter the market, and those who successfully scale their operations tend to transition to a more formal corporate structure to manage their growing assets.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with two zip codes, 66434 and 66439, containing 70.9% of all investor properties.
Detailed Findings

Geographic analysis reveals significant concentration of investor activity in Brown County. The top two zip codes, 66434 (Hiawatha) and 66439 (Horton), contain a combined 516 of the 728 investor-owned properties, representing 70.9% of the total.

The Hiawatha zip code (66434) is the largest hub for investors by sheer volume, with 295 properties. However, its investor ownership rate is 19.7%, which is below the county-wide average of 24.8%.

In contrast, the market with the highest penetration rate is 66094 (White Cloud), where investors own 53.2% of the housing stock. This demonstrates that areas with high investor saturation are not necessarily the same ones with the highest number of investor properties.

Several other zip codes show high investor density, including 66424 (Everest) at 30.9% and 66515 (Morrill) at 30.3%. These smaller markets have a greater proportion of their housing dedicated to rentals.

This geographic distribution points to distinct sub-markets within the county. While Hiawatha and Horton are the volume centers, smaller towns like White Cloud and Everest have a much higher concentration of investor ownership relative to their size.

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 Brown County are consistent net buyers, acquiring 2 properties for every 1 they sold in Q1 2026.
Detailed Findings

Historical transaction data shows a clear and consistent pattern of accumulation by landlords in Brown County. In the first quarter of 2026, they were net buyers, purchasing 2 properties while selling only 1.

This behavior extends over a longer period. For the full year of 2025, landlords demonstrated strong net buying activity, acquiring 28 SFRs and selling just 4. This represents a 7-to-1 buy-to-sell ratio, indicating a strong appetite for portfolio growth.

The trend was similar in 2024, with 25 purchases versus only 3 sales, reinforcing the multi-year pattern of landlords adding to their holdings rather than divesting.

Even the single institutional investor in the market has been a net buyer. Transaction data for this tier shows 2 purchases and 1 sale in 2025, suggesting that even at this very small scale, the strategy is to acquire, not liquidate.

Overall, the transaction history paints a picture of a market where investors are confident and actively expanding their footprint, consistently absorbing more properties than they release back to the market.

Current Quarter Transactions

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

Key Insight
In the first quarter, landlord purchases accounted for 6.7% of all real estate transactions.
Detailed Findings

In Q1 2026, landlords were involved in 2 of the 30 total SFR transactions in Brown County, for a market share of 6.7%. This represents a relatively small but active segment of the market.

All of the quarter's purchasing activity was driven by new entrants. The two transactions were conducted by investors in the single-property tier, indicating that growth is coming from individuals making their first rental property purchase.

These new investors paid an average price of $191,579, a figure notably higher than the average price paid by traditional homeowners during the same period, suggesting they may have targeted higher-quality assets.

An important detail from the quarter is the lack of inter-landlord trading. Zero percent of the properties purchased by investors were acquired from other landlords. This shows that acquisitions are expanding the total rental pool rather than just churning existing rental stock between operators.

The absence of activity from any tier other than the smallest mom-and-pops underscores the grassroots nature of the current market, with no acquisition interest from mid-size or institutional players.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Investors Dominate Brown County's Market, Owning 93.7% of Rentals and Driving All Q1 Purchases
Holdings
Landlords own 728 SFR properties, representing 24.8% of Brown County's market. Individual investors are the dominant force, holding 604 of these properties (83.0%) compared to 126 (17.3%) owned by companies.
Pricing
In a notable Q1 reversal, landlords paid a 32.3% premium over homeowners, with an average purchase price of $191,579 versus the homeowner average of $144,825, a difference of $46,754.
Activity
Landlords purchased 2 homes in Q1, accounting for 9.1% of all market purchases. All of this activity came from 2 new single-property landlords entering the market for the first time.
Market Share
Small landlords (1-10 properties) control 93.7% of all investor-owned housing in the county. In stark contrast, institutional investors (1,000+ properties) own just a single property, representing 0.1% of the portfolio.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 11-20 properties and larger, indicating a clear trend of incorporation as holdings grow.
Transactions
Landlords are consistent net buyers with a 2-to-1 buy/sell ratio in Q1 (2 buys vs 1 sell). Institutional investors, while minimally active, are also in an accumulation phase, last acting as net buyers.
Market Narrative

The investor landscape in Brown County, Kansas, is defined by the overwhelming dominance of small, local operators. Investors own 728 Single-Family Residential properties, a 24.8% share of the total market, providing a significant portion of the area's rental housing. This portfolio is firmly in the hands of individuals, who own 83.0% of these homes. Further analysis reveals that 'mom-and-pop' landlords (1-10 properties) control 93.7% of the investor-owned housing stock, while institutional firms with over 1,000 properties have a negligible footprint with just a single home.

Investor behavior points towards steady, long-term accumulation. Landlords have been consistent net buyers, acquiring properties at a much higher rate than they sell, as seen in the 2-to-1 buy/sell ratio in Q1 2026. All purchasing activity in the quarter came from new, single-property investors entering the market. In a surprising reversal of national trends, these landlords paid a 32.3% premium over traditional homeowners, suggesting a focus on specific, desirable assets despite the higher cost. The data also shows a clear pattern where investors who scale beyond 10 properties tend to shift from individual to corporate ownership.

The key takeaway from this investor pulse report is that Brown County is a classic grassroots rental market, not a target for corporate consolidation. The market is highly fragmented, with growth driven by new local entrants rather than large-scale acquisitions. For homeowners and renters, this means the rental landscape is shaped by hundreds of small operators, creating a dynamic and decentralized market environment. The consistent net-buying trend indicates ongoing confidence and investment in the local housing market by these small-scale players.

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 05:02 PM
Data Period Q1 2026
Geography Level County
Geography Brown (KS)
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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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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Brown (KS) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ks-brown/. Licensed under CC BY-NC-ND 4.0.