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

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

Market Overview

Total SFR Properties in Brown (IL)
1,516
Total Investors in Brown (IL)
185
Investor Owned SFR in Brown (IL)
226(14.9%)
Individual Landlords
Landlords
176
SFR Owned
216
Corporate Landlords
Landlords
9
SFR Owned
10
Understanding Property Counts

Distinct Count Methodology: The total 226 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

Brown County's investor market is dominated by small landlords amid a complete halt in recent purchasing activity.
In Brown County, IL, investors own 226 single-family homes, making up 14.9% of the market. This portfolio is overwhelmingly controlled by individuals (95.6%) and mom-and-pop landlords (89.3%), with no institutional presence. Recent market data shows a freeze in investor acquisitions, with zero properties purchased by landlords in the latest quarter.
Landlord Owned Current Holdings
Investors own 226 SFR properties in Brown County, with individuals holding a commanding 95.6% share.
The investor portfolio is heavily skewed towards cash ownership, with 201 properties owned outright versus only 25 financed. A significant 93.8% of these homes are non-owner-occupied (212 properties), indicating a strong rental focus. By entity, 176 individual landlords vastly outnumber the 9 company landlords.
Landlord vs Traditional Homeowners
Acquisition pricing in Brown County is highly volatile, with landlords paying a 40.8% discount in Q1 but a 107.5% premium in Q3.
The price gap between landlords and homeowners swung dramatically, from a $44,986 landlord discount in 2025-Q1 to a $195,094 premium by 2025-Q3. This volatility is a direct result of extremely low transaction volumes, where single transactions can heavily skew quarterly averages. No landlord purchases were recorded in the most recent quarters of 2025.
Current Quarter Purchases
Landlord purchasing activity came to a halt in Q4 2025, accounting for 0% of the 8 total SFR sales.
With zero properties acquired by investors, both mom-and-pop landlords (Tiers 01-04) and institutional investors (Tier 09) had a 0.0% share of landlord purchases. No new landlords entered the market, and no existing investors expanded their portfolios during the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 89.3% of investor-owned SFRs in Brown County.
Single-property landlords are the bedrock of the market, owning 120 properties, which is 51.3% of the entire investor portfolio. In contrast, institutional investors (1,000+ properties) have zero presence, holding 0.0% of the market.
Ownership by Tier & Type
Individual investors fully dominate every ownership tier in Brown County, with no crossover point for company control.
Companies have a minimal footprint, owning just 8 properties in the single-property tier (6.7%) and 2 in the two-property tier (8.7%). In all tiers with 3 or more properties, individual ownership is 100%.
Geographic Distribution
Investor activity in Brown County is highly concentrated, with the 62353 zip code holding 163 properties, 72% of the county's total.
While 62353 dominates by count, smaller zip codes show higher penetration rates. The 62323 zip code has the highest investor ownership rate at 33.3%, followed by 62324 at 20.0%, although these represent only one and two properties, respectively.
Historical Transactions
Landlords in Brown County were slight net buyers in 2024, acquiring 6 properties while selling 4.
The transaction volume is extremely low, reflecting a slow-moving market. There were no institutional transactions recorded during this period, reinforcing that all activity is driven by smaller landlords.
Current Quarter Transactions
Investor transactions were zero in Q1, giving landlords a 0% share of the 8 total market transactions.
With no landlord activity, transaction volumes and average prices for all tiers, from mom-and-pop to institutional, were $0. There was no inter-landlord trading, reflecting a complete freeze in the investor market.

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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 226 SFR properties in Brown County, with individuals holding a commanding 95.6% share.
Detailed Findings

In Brown County, IL, landlords hold a total of 226 Single-Family Residential (SFR) properties, which constitutes 14.9% of the total 1,516 SFRs in the market. This highlights a significant, yet not dominant, investor presence in the local housing landscape.

The ownership structure is overwhelmingly tilted towards private individuals. Individual real estate investors own 216 properties, accounting for 95.6% of the investor-owned portfolio, while companies own a mere 10 properties (4.4%).

A look at the entity counts reinforces this pattern, with 176 individual landlords compared to just 9 company landlords. This 19-to-1 ratio underscores that the market is driven by small-scale, personal investment rather than corporate operations.

Financing behavior reveals a strong preference for cash transactions. Of the 226 investor-owned properties, 201 were acquired with cash, while only 25 are currently financed. This suggests that investors in this area have high liquidity and low reliance on leverage.

The portfolio is clearly focused on generating rental income. There are 212 properties classified as rented, which means 93.8% of the investor-owned stock is actively serving as rental housing for the community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Acquisition pricing in Brown County is highly volatile, with landlords paying a 40.8% discount in Q1 but a 107.5% premium in Q3.
Detailed Findings

Investor acquisition pricing in Brown County shows extreme volatility, a characteristic of a market with very low transaction volume. In 2025-Q1, landlords paid an average of $65,300, a significant 40.8% discount compared to the traditional homeowner price of $110,286.

However, this trend completely reversed in subsequent quarters. In 2025-Q2, the average landlord price was $225,000, a 45.0% premium over the homeowner price of $155,125. This swing intensified in 2025-Q3, with a landlord price of $376,500 representing a 107.5% premium over the homeowner price of $181,406.

These dramatic fluctuations are not indicative of a consistent market strategy but rather the impact of outliers in an illiquid market. With zero properties purchased by landlords in recent periods, these averages are based on minimal historical data and should be interpreted with caution.

Comparing recent activity to the pandemic era (2020-2023), where the average price was $83,275, highlights a general upward price trend. However, the lack of recent purchasing activity prevents a clear analysis of current appreciation.

The absence of any recorded landlord purchases since 2025-Q1 suggests a market pause. Investors may be waiting for more favorable conditions or a clearer price direction before re-engaging in acquisitions in Brown County.

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

Key Insight
Landlord purchasing activity came to a halt in Q4 2025, accounting for 0% of the 8 total SFR sales.
Detailed Findings

In the final quarter of 2025, investor activity in Brown County's SFR market was nonexistent. Of the 8 total SFR properties that were sold, landlords purchased zero, resulting in a 0% market share for the quarter.

This lack of activity was consistent across all investor sizes. Mom-and-pop landlords, who constitute the vast majority of owners in the county, made no acquisitions, accounting for 0.0% of the (zero) landlord purchases.

Similarly, institutional investors in Tier 09 also recorded zero purchases. This complete absence of buying from both the smallest and largest investor tiers signals a broad-based pause in the investment market.

The data shows no new landlords entering the market, as there were no purchases by entities that would fall into the single-property tier. This indicates a lack of new capital flowing into the local rental market from first-time investors.

The complete cessation of purchasing activity is the most significant finding for the quarter, suggesting that current market conditions, whether pricing, inventory, or economic outlook, are not conducive to investor acquisitions in Brown County.

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 89.3% of investor-owned SFRs in Brown County.
Detailed Findings

The ownership structure in Brown County is definitively characterized by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties (Tiers 01-04), collectively own 89.3% of all investor-held SFRs.

The single-property tier (Tier 01) is the largest single group, with 120 properties representing 51.3% of the investor portfolio. This demonstrates that the local rental market is primarily supplied by individuals with a single investment property.

Following this are small landlords with 3-5 properties, who control 55 homes (23.5% share), and two-property owners with 23 homes (9.8%). The concentration of ownership in these lower tiers highlights the granular, community-based nature of real estate investment in the area.

Mid-size landlords are a minor segment. The 11-20 property tier contains just one property (0.4%), while the 21-50 tier holds 24 properties (10.3%), representing a small pocket of more concentrated ownership.

Significantly, there is absolutely no institutional investor presence in Brown County. The 1,000+ property tier (Tier 09) holds zero properties, a 0.0% share, confirming the market is exclusively composed of smaller, non-institutional players.

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
Key Insight
Individual investors fully dominate every ownership tier in Brown County, with no crossover point for company control.
Detailed Findings

In Brown County, individual investors are not just the majority; they represent nearly the entirety of the ownership base across all portfolio sizes. Companies have a negligible presence, failing to establish a majority in any tier.

The data shows that even in the smallest tiers, individuals are dominant. In the single-property tier, individuals own 112 properties (93.3%) compared to 8 for companies (6.7%). A similar split is seen in the two-property tier, with individuals at 91.3%.

Beyond two properties, company ownership disappears entirely. For all tiers from 3-5 properties up to 21-50 properties, 100% of the homes are owned by individuals. This indicates that as portfolios grow in this market, they remain under personal ownership rather than transitioning to a corporate structure.

The traditional crossover point seen in larger markets, where companies become the majority owners in higher tiers, does not exist in Brown County. The market structure is exclusively built on individual ownership from start to finish.

This complete control by individual investors suggests that the local real estate investment scene is driven by personal capital and management, without the influence of corporate strategies or large-scale operational efficiencies.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Brown County is highly concentrated, with the 62353 zip code holding 163 properties, 72% of the county's total.
Detailed Findings

Geographic analysis reveals a stark concentration of investor-owned properties within Brown County. A single zip code, 62353, is home to 163 of the 226 investor properties, accounting for 72.1% of the entire portfolio. This area has an investor ownership rate of 14.6%.

The next most significant areas by count are 62378 with 41 properties (14.4% rate) and 62375 with 19 properties (18.8% rate). Together, these top three zip codes contain 98.2% of all investor-owned homes in the county.

Examining ownership by rate instead of count highlights a different pattern. The zip code 62323 has the highest concentration at 33.3%, but this is based on just one investor-owned property out of three total SFRs. Similarly, 62324 has a 20.0% rate from two investor properties.

This illustrates the common distinction between volume and penetration. While 62353 is the clear hub for the absolute number of rental properties, smaller, more rural zip codes technically have a higher proportion of their limited housing stock owned by investors.

This hyper-local concentration suggests that investor knowledge and opportunity are likely confined to specific neighborhoods or towns within the county, rather than being evenly distributed.

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
Key Insight
Landlords in Brown County were slight net buyers in 2024, acquiring 6 properties while selling 4.
Detailed Findings

Historical transaction data for Brown County reveals a market with very limited liquidity. In 2024, landlords collectively acted as net buyers, though on a very small scale. They purchased a total of 6 properties while selling 4, resulting in a net addition of 2 properties to the overall investor portfolio.

This low volume of activity suggests that properties are typically held for the long term, with infrequent trading between owners. The buy-to-sell ratio of 1.5 indicates a slight bias towards acquisition, but the small absolute numbers are more telling of market inactivity.

There is no evidence of inter-landlord trading in the provided data, meaning transactions were likely between investors and traditional homeowners.

Consistent with all other findings for the county, institutional investors (1,000+ property tier) were completely absent from the transaction market. All recorded buying and selling activity in 2024 was conducted by smaller, non-institutional landlords.

The minimal transaction history provides a crucial context for the current halt in activity, showing that while the market was never highly active, the recent freeze represents a significant downturn even from its historically low baseline.

Current Quarter Transactions

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

Key Insight
Investor transactions were zero in Q1, giving landlords a 0% share of the 8 total market transactions.
Detailed Findings

In the first quarter of 2026, the investor segment of the Brown County real estate market was entirely dormant. Of the 8 total SFR transactions that occurred, none involved a landlord as a buyer, resulting in a 0% market share for investors.

This inactivity was universal across all investor sizes. Mom-and-pop landlords, who form the backbone of the county's investor base, recorded zero transactions during the quarter.

Likewise, institutional investors had no transaction activity, which is consistent with their 0% ownership stake in the county. The lack of acquisitions from any tier underscores a broad market sentiment against purchasing at this time.

Consequently, the average purchase price for all investor tiers was effectively $0, as no capital was deployed. The price spread between the highest and lowest paying tiers was nonexistent.

Furthermore, the data shows no inter-landlord trading activity. No investors purchased properties from other landlords, indicating a lack of portfolio repositioning or churning within the existing investor community.

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Executive Summary

Brown County's SFR investor market is entirely controlled by local landlords, as recent purchasing activity grinds to a complete halt.
Holdings
Landlords own 226 SFR properties, representing 14.9% of Brown County's market. The portfolio is almost entirely in the hands of individual investors, who own 216 properties (95.6%), versus just 10 (4.4%) owned by companies.
Pricing
Pricing is extremely volatile due to low sales volume; landlords saw a 40.8% discount ($44,986) in 2025-Q1 but paid a 107.5% premium ($195,094) in 2025-Q3, signaling an unpredictable market.
Activity
Investor purchasing has ceased, with landlords accounting for 0% of the 8 SFR sales in the most recent quarter. No new landlords entered the market, and no existing investors made acquisitions.
Market Share
Small mom-and-pop landlords (1-10 properties) dominate the market, controlling 89.3% of all investor-owned housing. Institutional investors have no presence, with a 0.0% market share.
Ownership Type
Individual investors maintain 100% control of all portfolios with three or more properties. There is no crossover point where companies become the majority, underscoring a market free of corporate ownership.
Transactions
Landlords were marginal net buyers in 2024 with 6 buys versus 4 sells, but all acquisition activity has since stopped. There were zero institutional transactions recorded.
Market Narrative

In Brown County, Illinois, the single-family rental market is a localized ecosystem entirely shaped by small, private investors. Landlords own 226 SFR properties, which is 14.9% of the county's total housing stock. Ownership is overwhelmingly concentrated with individuals, who hold 95.6% of these properties, compared to a negligible 4.4% for companies. The market structure is definitively mom-and-pop, with landlords owning 1-10 properties controlling 89.3% of the investor-owned inventory, while institutional-scale investors have zero presence.

Recent investor behavior signals a deep freeze in activity. Landlords made zero purchases in the most recent quarter, capturing 0% of market sales. This halt follows a period of highly volatile pricing, where low transaction volumes caused wild swings from a 40.8% landlord discount in one quarter to a 107.5% premium just two quarters later. Transactionally, landlords were slight net buyers in 2024 (6 buys vs. 4 sells), but this minimal activity has since evaporated, indicating that current market conditions are unappealing for acquisitions.

The key takeaway for Brown County is the stability and insular nature of its rental market, coupled with a current aversion to growth. The market is not driven by large corporations but by local individuals, many of whom own a single rental property and hold it with cash. The recent lack of acquisitions suggests a wait-and-see approach, where investors are holding their existing assets but are unwilling to expand portfolios amidst pricing uncertainty. This environment provides stability for renters but signals limited future growth or external investment in the county's housing 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.

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 03:12 PM
Data Period Q1 2026
Geography Level County
Geography Brown (IL)
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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 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 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
Chart Section11 Buysell Price

Licensing & Usage Rights

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You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

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