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

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

Market Overview

Total SFR Properties in Brown (MN)
8,355
Total Investors in Brown (MN)
600
Investor Owned SFR in Brown (MN)
658(7.9%)
Individual Landlords
Landlords
505
SFR Owned
497
Corporate Landlords
Landlords
95
SFR Owned
174
Understanding Property Counts

Distinct Count Methodology: The total 658 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

Local Mom-and-Pop Investors Dominate Brown County with 90% Ownership, Securing Deep 65% Property Discounts
Investors own 658 single-family properties in Brown County, MN, representing 7.9% of the market. This landscape is controlled by small investors (1-10 properties) who hold 89.8% of the inventory, while institutional firms own just 0.3%. In Q1 2026, landlords purchased properties at a massive 64.5% discount compared to traditional homeowners and continued to be strong net buyers.
Landlord Owned Current Holdings
Investors own 658 SFR properties in Brown County, with individuals holding 75.5% of the portfolio.
The majority of investor-owned properties are held free and clear, with 538 paid in cash versus only 120 that are financed. Of the total 600 landlords in the county, 505 are individuals, outnumbering companies by more than 5 to 1. The portfolio is heavily focused on rentals, with 610 properties classified as non-owner-occupied.
Landlord vs Traditional Homeowners
In Q1 2026, landlords acquired properties for $94,800 on average, a staggering 64.5% less than traditional homeowners.
This massive price advantage translates to a $171,959 discount compared to the average homeowner price of $266,759. The discount has widened significantly from previous quarters; for instance, it was 38.6% in Q2 2025, indicating an increasing ability for investors to find undervalued assets.
Current Quarter Purchases
Landlords purchased 9.6% of all SFR homes sold in Brown County during the last quarter of 2025.
Mom-and-pop investors (1-10 properties) drove this activity, accounting for 4 of the 5 total landlord purchases (80.0%). Institutional investors with over 1,000 properties made no acquisitions, highlighting a market completely dominated by small-scale buyers. Two new single-property landlords entered the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 89.8% of all investor-owned SFRs in Brown County.
This small investor dominance leaves a negligible footprint for large-scale players, as institutional investors (1,000+ properties) own just 0.3% of the inventory. Single-property landlords alone make up the largest segment, holding 357 properties, or 52.8% of the entire investor portfolio.
Ownership by Tier & Type
Companies become the majority property owners starting in the 6-10 property tier, despite individuals dominating overall.
In the 6-10 property tier, companies own 54.2% of homes. This trend accelerates in the 11-20 property tier, where companies control 66.7% of the properties. Despite this, individuals still own 86.2% of all single-property and 3-5 property portfolios.
Geographic Distribution
Investor activity in Brown County is highly concentrated, with the 56073 zip code holding 385 properties.
While 56073 has the highest raw count, other zip codes exhibit higher investor penetration rates. The 56266 zip code leads with a 16.7% investor ownership rate, followed by 56062 at 12.5%, indicating pockets of intense investor focus.
Historical Transactions
Landlords in Brown County are consistently net buyers, acquiring 3 times as many properties as they sold in 2025.
This trend continued into Q1 2026 with 5 properties purchased and 3 sold. Over 2024 and 2025, landlords added a net total of 62 properties to their portfolios. In contrast, the single institutional transaction in 2025 was a wash, with one purchase and one sale.
Current Quarter Transactions
Landlords were involved in 6.8% of all SFR transactions in Q1 2026, with a focus on inter-landlord trades.
Half of all purchases by new, single-property landlords came from existing landlords. In the two-property tier, 100% of acquisitions were landlord-to-landlord deals. This suggests a liquid market where investors frequently trade assets among themselves.

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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 658 SFR properties in Brown County, with individuals holding 75.5% of the portfolio.
Detailed Findings

In Brown County, MN, investors hold 658 single-family residential properties, which constitutes 7.9% of the total 8,355 SFRs in the market. This indicates a modest but established investor presence within the local housing ecosystem.

Individual investors are the definitive force in the market, owning 497 properties, or 75.5% of the total investor portfolio. Company-owned properties account for the remaining 174 homes (26.4%), establishing a clear 3-to-1 ratio in favor of individual ownership.

A significant strategic pattern emerges from the financing data: investors in Brown County overwhelmingly prefer cash purchases. There are 538 cash-owned properties compared to just 120 with financing, a ratio of nearly 4.5 to 1. This suggests a market of financially stable investors who can operate without leverage.

The rental focus of the portfolio is unambiguous, with 610 properties designated as non-owner-occupied. This high concentration reinforces that the primary goal of these investments is generating rental income rather than short-term speculation.

The market structure is composed of 600 distinct landlord entities. Of these, 505 are individuals, while 95 are registered as companies. This breakdown highlights that the overwhelming majority of landlords are small-scale, individual operators, not large corporations.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords acquired properties for $94,800 on average, a staggering 64.5% less than traditional homeowners.
Detailed Findings

Investors in Brown County demonstrated an exceptional ability to acquire properties at a deep discount in Q1 2026. Their average acquisition price of $94,800 was 64.5% below the $266,759 paid by traditional homeowners, resulting in a remarkable price gap of $171,959 per property.

This pricing advantage for landlords is not a new phenomenon, but its magnitude has fluctuated. The 64.5% discount in Q1 2026 represents a significant widening of the gap compared to 2025, where the discount ranged from 38.6% in Q2 to 58.8% in Q3. This trend suggests investors are becoming more effective at sourcing off-market deals or distressed properties.

Overall acquisition prices for landlords have remained relatively stable, with the average price during the 2020-2023 boom period at $112,278. The Q1 2026 average of $94,800 is lower than the historical averages of 2024 ($109,468) and 2025 ($113,505), indicating that recent purchases are at even more favorable price points.

The data reveals a consistent pattern of landlords paying significantly less than the general market. This ability to secure properties well below market rate is a core driver of investor profitability in the region and distinguishes their acquisition strategy from that of typical homebuyers.

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 9.6% of all SFR homes sold in Brown County during the last quarter of 2025.
Detailed Findings

During the final quarter of 2025, real estate investors acquired 5 of the 52 total SFR properties sold in Brown County, capturing a 9.6% share of market activity. This level of participation shows investors are a consistent, albeit minor, source of demand in the local market.

The purchasing activity was entirely concentrated among smaller investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 80.0% of all investor acquisitions, purchasing 4 of the 5 properties. This underscores the grassroots nature of real estate investing in the area.

In a clear sign of market dynamics, there were zero purchases by institutional investors (1,000+ properties). The most active segment was the single-property tier, where 2 new landlords each acquired their first investment property, accounting for 40.0% of investor buying volume.

The remaining purchases were made by existing small-to-mid-size landlords, including one in the two-property tier, one in the 6-10 property tier, and one in the 11-20 property tier. This distribution shows that growth is happening incrementally across the small investor spectrum.

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 89.8% of all investor-owned SFRs in Brown County.
Detailed Findings

The ownership structure of investor-held real estate in Brown County is overwhelmingly dominated by small-scale operators. Landlords owning between 1 and 10 properties, often called mom-and-pop investors, control 89.8% of the entire investor-owned SFR portfolio.

At the most granular level, single-property landlords are the bedrock of the market. This group alone owns 357 properties, which represents 52.8% of all investor-owned housing. This signifies that the typical landlord is not a large company but an individual with a single rental home.

In stark contrast, institutional investors with portfolios exceeding 1,000 properties have a nearly nonexistent presence. They own just 2 properties in the county, accounting for a mere 0.3% of the investor market share. This finding challenges any narrative of a corporate takeover of local housing.

Mid-size investors also play a relatively small role. Landlords in the 11-50 property range collectively own 62 properties, or 9.1% of the market. The data clearly illustrates that the market's center of gravity lies with investors at the smallest end of the scale.

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 property owners starting in the 6-10 property tier, despite individuals dominating overall.
Detailed Findings

While individual investors own the vast majority of rental properties in Brown County, a clear pattern emerges as portfolio sizes grow. Companies transition from a minority to a majority stakeholder in portfolios of 6 or more properties. This marks the crossover point where professionalization and incorporation become more common.

In the small landlord tier (6-10 properties), companies own 26 homes (54.2%) compared to 22 owned by individuals. The trend becomes even more pronounced in the next tier up (11-20 properties), where company ownership rises to 66.7% (20 properties).

Conversely, individuals maintain overwhelming control over smaller portfolios. In both the single-property and 3-5 property tiers, individuals own 86.2% of the homes. This highlights that entry-level and small-scale investing remains primarily an individual pursuit.

In the two-property tier, individuals still hold a strong majority with 66.0% of properties. The data suggests that as landlords scale beyond 5 properties, they are more likely to adopt a corporate structure for liability and operational purposes.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Brown County is highly concentrated, with the 56073 zip code holding 385 properties.
Detailed Findings

Geographic analysis reveals that investor ownership in Brown County is not evenly distributed but is instead highly concentrated in specific zip codes. The 56073 zip code is the epicenter of activity by volume, containing 385 investor-owned properties, though its investor ownership rate is a more modest 7.3%.

A different story is told by ownership rates, which measure investor penetration in a market. The 56266 zip code has the highest concentration with 16.7% of its homes owned by investors. This is followed by 56062 (12.5%), 56041 (10.5%), and 56081 (10.0%), all of which show a higher-than-average investor presence relative to their market size.

This distinction between high-volume and high-penetration areas is critical. While 56073 has the most units, the higher rates in smaller zip codes suggest they may be more attractive targets for investors or have housing stock that is more conducive to rentals.

The top three zip codes by sheer count of investor properties are 56073 (385 properties), 56041 (35 properties), and 56019 (17 properties). Together, these areas represent the core of Brown County's rental market.

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 consistently net buyers, acquiring 3 times as many properties as they sold in 2025.
Detailed Findings

Transaction history shows that landlords in Brown County are in a phase of accumulation. In 2025, they were strong net buyers, purchasing 36 properties while selling only 12, a buy-to-sell ratio of 3-to-1. This pattern was even more pronounced in 2024, with 56 buys versus 18 sells.

The net buying trend has carried into the new year. In Q1 2026, landlords purchased 5 homes and sold 3, adding a net of 2 properties to the county's rental stock. This consistent acquisition activity signals investor confidence in the local market.

Institutional investors, on the other hand, show no signs of accumulation. Their only recorded activity in 2025 consisted of one purchase and one sale, resulting in a neutral position. This lack of net buying further reinforces that market growth is driven by smaller, local players.

Across all recent timeframes, from Q1 2026 back through 2024, landlords have maintained their status as net buyers. This sustained period of portfolio growth indicates a long-term investment strategy focused on holding rental properties.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 6.8% of all SFR transactions in Q1 2026, with a focus on inter-landlord trades.
Detailed Findings

In Q1 2026, landlords participated in 5 of the 74 total single-family property transactions in Brown County, representing a 6.8% share of the market. While a minority of total sales, the nature of these transactions reveals key market dynamics.

A significant portion of landlord acquisitions are sourced from other investors. For new landlords entering the market (Tier 01), 50.0% of their purchases were from another landlord. This trend was even stronger for two-property landlords, who sourced 100.0% of their single Q1 purchase from a fellow investor.

This high rate of inter-landlord trading suggests an efficient, localized market where rental properties are frequently passed between investors rather than being sold back to the general public. This allows investors to acquire properties that may already be tenant-occupied and cash-flowing.

Purchase prices varied by tier, with smaller landlords in the 1- and 2-property tiers paying an average of $100,000. Interestingly, the small landlord in the 6-10 property tier acquired their property for a lower price of $68,000, while the 11-20 tier investor paid $106,000, showing no clear correlation between size and price paid this quarter.

As with other metrics, institutional investors were completely absent from the transactional market in Q1, with zero recorded transactions.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Define Brown County's Market with 90% Ownership and an Unmatched 65% Purchase Discount
Holdings
Landlords own 658 single-family properties in Brown County, MN, representing 7.9% of the total market. The portfolio is overwhelmingly controlled by individual investors, who hold 497 properties (75.5%), compared to 174 (26.4%) owned by companies.
Pricing
In Q1 2026, landlords secured properties at a massive 64.5% discount compared to traditional homeowners, paying an average of $94,800 versus the homeowner's $266,759, a savings of $171,959 per home.
Activity
Investors purchased 9.6% of homes sold in the last quarter, an activity driven entirely by smaller players. During this period, 2 new single-property landlords entered the market, while mom-and-pop investors accounted for 80% of all landlord acquisitions.
Market Share
Small mom-and-pop landlords (1-10 properties) dominate the rental landscape, controlling 89.8% of all investor-owned housing. In contrast, institutional investors (1,000+ properties) have a negligible footprint, owning just 0.3% of the inventory.
Ownership Type
Individual investors form the backbone of the market, but companies become the majority owners in portfolios of 6-10 properties, where they hold 54.2% of the assets. This indicates a shift to corporate structures as landlords scale.
Transactions
Landlords remain active net buyers, purchasing 5 properties and selling 3 in Q1 2026. This continues a multi-year trend of accumulation, while institutional investors remain on the sidelines with no net-positive acquisition activity.
Market Narrative

The real estate investor market in Brown County, MN is fundamentally shaped by small, individual operators. Investors collectively own 658 single-family homes, comprising 7.9% of the county's total SFR stock. This portfolio is firmly in the hands of local players, with individual investors owning 75.5% of the properties (497 homes) and mom-and-pop landlords (1-10 properties) controlling a staggering 89.8% of the inventory. In stark contrast, institutional firms with over 1,000 properties have a nearly invisible presence, owning just 0.3% of the rental housing supply. This data paints a clear picture of a decentralized market, far from the narrative of a corporate-dominated landscape.

Investor behavior in Brown County is characterized by strategic, value-oriented acquisitions and consistent portfolio growth. In Q1 2026, landlords purchased properties at an average price of $94,800, a massive 64.5% discount compared to the $266,759 paid by traditional homeowners. This demonstrates a sophisticated ability to source undervalued assets. Concurrently, investors are committed net buyers, acquiring more properties than they sell quarter after quarter. In the most recent quarter, they purchased 5 homes and sold 3, continuing a multi-year trend of steady accumulation that signals strong confidence in the local market.

The key takeaway from this investor pulse report is that the Brown County rental market is healthy, stable, and driven by local entrepreneurship. The dominance of mom-and-pop landlords, combined with their ability to acquire properties at a significant discount, suggests a sustainable ecosystem built on long-term value rather than large-scale speculation. The lack of institutional presence means that market dynamics are dictated by local conditions and the actions of hundreds of small investors, creating a resilient and granular investment environment.

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 08:30 PM
Data Period Q1 2026
Geography Level County
Geography Brown (MN)
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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 Brown (MN) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-mn-brown/. Licensed under CC BY-NC-ND 4.0.