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

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

Market Overview

Total SFR Properties in Brown (IN)
6,706
Total Investors in Brown (IN)
2,554
Investor Owned SFR in Brown (IN)
1,906(28.4%)
Individual Landlords
Landlords
2,262
SFR Owned
1,616
Corporate Landlords
Landlords
292
SFR Owned
315
Understanding Property Counts

Distinct Count Methodology: The total 1,906 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 Brown County, Owning 99.4% of Investor SFRs and Driving All New Acquisitions
Investors own 1,906 SFR properties, representing 28.4% of the market in Brown County, IN. Individual investors control 84.8% of these holdings, with mom-and-pop landlords (1-10 properties) accounting for a staggering 99.4% of the investor-owned portfolio. In Q1 2026, landlords shifted from paying premiums to securing a 23.9% discount compared to homeowners and remain strong net buyers, acquiring 4.7 properties for every one sold.
Landlord Owned Current Holdings
Investors own 1,906 properties (28.4% of the market), with individuals holding 84.8%.
The vast majority of investor-owned homes are held in cash, outnumbering financed properties 2.5 to 1 (1,366 vs 540). The portfolio is almost entirely rental-focused, with 98.7% of properties (1,881 of 1,906) classified as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords paid 23.9% less than homeowners in Q1, a $96,177 discount per property.
This marks a dramatic market shift from 2025, when landlords consistently paid significant premiums, sometimes as high as 39.0% ($128,597) above homeowner prices. The data for Brown County does not provide a price breakdown between individual and company investors.
Current Quarter Purchases
Landlords purchased 27.7% of all SFR properties sold in the most recent quarter.
Small, mom-and-pop investors were responsible for 100% of these acquisitions. All 13 landlord purchases were made by new, single-property landlords, while institutional investors made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 99.4% of investor SFRs.
Single-property landlords alone own 86.6% of all investor-held housing. Institutional investors (1,000+ properties) have a negligible presence, owning just 0.1% of the portfolio, or 2 properties.
Ownership by Tier & Type
The data does not specify price differences between individual and company buyers in Brown County.
Companies become the majority property holders at the 6-10 property tier (Tier 04), where they own 89.5% of the homes. Below this level, individuals overwhelmingly dominate, holding over 79% of properties in each of the smaller tiers.
Geographic Distribution
Investor activity is highly concentrated, with zip code 47448 holding 905 properties.
Zip code 47435 has the highest investor penetration rate at 80.0%, though it is a very small market. The top two zip codes by count, 47448 and 46164, together contain 1,485 properties, representing 77.9% of all investor-owned SFRs in the county.
Historical Transactions
Landlords are strong net buyers, acquiring 4.7 properties for every one they sold in Q1 2026.
This accumulation trend is consistent over time, with a buy-to-sell ratio of 8.6 in 2025 and 10.1 in 2024. In contrast, institutional investors show minimal, balanced activity, with 3 buys and 2 sells in all of 2025.
Current Quarter Transactions
Landlords were involved in 21.9% of all property transactions in Q1 2026.
Activity was dominated by the single-property tier, which accounted for 13 of 14 investor transactions at an average price of $306,995. These new investors sourced 23.1% of their purchases from existing landlords, showing significant inter-investor churn.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 1,906 properties (28.4% of the market), with individuals holding 84.8%.
Detailed Findings

Investors hold a significant 28.4% stake in Brown County's single-family housing market, controlling 1,906 of the 6,706 total SFR properties. This high penetration rate highlights the importance of rental properties in the local housing ecosystem.

Individual investors are the primary drivers of the rental market, owning 1,616 properties, which constitutes 84.8% of all investor-owned SFRs. In contrast, company-owned portfolios account for just 315 properties (16.5%), reinforcing the market's 'mom-and-pop' character.

The ownership base is broad, with 2,554 distinct landlord entities identified. Individuals make up the vast majority of these entities (2,262, or 88.6%), while only 292 are registered as companies.

Cash is the preferred method for holding property. Investors own 1,366 properties outright, more than double the 540 properties that are financed. This suggests a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The investor portfolio is overwhelmingly geared towards providing rental housing, with 1,881 of the 1,906 properties (98.7%) being non-owner-occupied. This indicates a clear focus on generating rental income rather than speculative holding.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 23.9% less than homeowners in Q1, a $96,177 discount per property.
Detailed Findings

In a striking reversal of recent trends, landlords in Q1 2026 acquired properties at a significant discount. They paid an average of $306,995, which is 23.9% less than the $403,172 paid by traditional homeowners, creating an average price gap of $96,177.

This newfound pricing power contrasts sharply with market conditions in 2025. Throughout 2025, investors consistently paid substantial premiums over homeowners, including a 38.8% premium in Q1 2025 ($477,874 vs $344,237) and a 39.0% premium in Q2 2025 ($458,165 vs $329,568).

The shift from paying premiums of over $130,000 to securing discounts nearing $100,000 in just one year indicates a major change in market dynamics. This could reflect more strategic acquisitions, better deal-sourcing, or softening competition at the negotiation table.

While acquisition activity was low across several recent quarters, the price data from 2020-2023 shows an average price of $365,676. The Q1 2026 price of $306,995 is notably lower, suggesting that recent acquisitions are focused on lower-priced assets compared to the pandemic-era boom.

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 27.7% of all SFR properties sold in the most recent quarter.
Detailed Findings

Investors maintained a strong presence in the Brown County market, acquiring 13 of the 47 total SFR properties sold in Q4 2025, capturing a 27.7% market share.

The entirety of this purchasing activity was driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) accounted for 100% of the 13 properties bought by investors.

Growth in the investor market is exclusively happening at the entry level. All 13 properties were purchased by landlords in the single-property tier, indicating the formation of 13 new landlord entities.

In stark contrast, institutional investors (1,000+ properties) were completely absent from the acquisitions market in Q4, purchasing zero properties.

This data clearly shows that the expansion of investor ownership in Brown County is fueled by new, small-scale participants rather than large corporations expanding their portfolios.

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 99.4% of investor SFRs.
Detailed Findings

The investor landscape in Brown County is unequivocally dominated by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties, control 99.4% of the entire investor-owned SFR portfolio.

First-time or single-property landlords are the bedrock of the local rental market. This single tier (Tier 01) accounts for 1,684 properties, representing 86.6% of all investor holdings.

As portfolio sizes increase, the number of properties drops off dramatically. Landlords with 2 properties hold 6.1% of the market, and those with 3-5 properties hold 5.8%.

The narrative of large corporations buying up housing does not apply in Brown County. Institutional investors with over 1,000 properties own just 2 homes, equating to a mere 0.1% of the investor market share.

This distribution underscores a highly fragmented ownership structure, where market dynamics are dictated by the collective actions of thousands of small investors, not a few large 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
Chart Section9 Yoy Comparison
Key Insight
The data does not specify price differences between individual and company buyers in Brown County.
Detailed Findings

Individual investors form the foundation of the market, dominating the smaller portfolio tiers. They own 85.9% of single-property holdings, 79.0% of two-property portfolios, and 81.4% of properties in the 3-5 home tier.

A distinct crossover point occurs once a portfolio reaches 6 properties. In the 6-10 property tier, companies become the dominant ownership structure, holding 17 of 19 properties (89.5%) compared to just 10.5% for individuals.

This shift suggests that as landlords scale their operations beyond five properties, they tend to formalize their business by incorporating, likely for liability protection and financial management purposes.

While individuals are the most numerous type of landlord, companies control a disproportionately larger share of mid-sized portfolios, signaling a clear strategic difference in how larger-scale investments are managed.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with zip code 47448 holding 905 properties.
Detailed Findings

Investor ownership in Brown County is geographically concentrated in a few key areas. The zip code 47448 is the epicenter of activity, with 905 investor-owned properties, representing 29.2% of its housing stock.

Following 47448, the zip code 46164 has the second-highest volume with 580 investor properties and a higher ownership rate of 36.3%. Together, these two zip codes account for nearly 78% of all investor SFRs in the county.

Some smaller areas exhibit extremely high investor penetration. Zip code 47435 stands out with an 80.0% investor ownership rate, making it a market almost entirely composed of rental properties.

Similarly, zip code 47264 has a 50.0% ownership rate, and 47468 has a 41.2% rate, indicating specific neighborhoods or sub-markets that are particularly attractive to investors.

This data highlights the need for granular analysis, as the regions with the highest number of investor properties are not always the ones with the highest percentage of investor ownership.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords are strong net buyers, acquiring 4.7 properties for every one they sold in Q1 2026.
Detailed Findings

The investor market in Brown County is in a phase of aggressive accumulation. In Q1 2026, landlords were decisive net buyers, purchasing 14 properties while only selling 3, a net gain of 11 properties.

This behavior is part of a long-term trend. For the full year 2025, investors bought 120 properties and sold only 14. In 2024, they purchased 152 and sold 15. This consistent, high-volume buying demonstrates strong confidence in the local market.

The buy/sell ratio underscores this acquisitive stance. For every property sold in 2025, landlords bought 8.6 more. This pattern of adding to portfolios far more than divesting signals a long-term investment strategy.

Institutional investors (1,000+ tier) operate on a completely different scale. Their activity is negligible, with only 3 buys and 2 sells recorded for the entire year of 2025. Their balanced activity indicates a stable, non-expansionary position, unlike the broader market.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 21.9% of all property transactions in Q1 2026.
Detailed Findings

In Q1 2026, landlords played a significant role in market liquidity, participating in 14 of the 64 total SFR transactions for a 21.9% share of all activity.

Transaction volume is almost entirely concentrated at the entry-level of the market. Investors in the single-property tier were responsible for 13 of the 14 landlord transactions, highlighting that new market entrants are the most active players.

The average purchase price for these new single-property investors was $306,995, aligning with the significant discount they achieved compared to traditional homeowners during the same period.

A notable pattern of inter-investor trading has emerged. Nearly a quarter (23.1%) of the properties bought by first-time landlords were purchased from other landlords. This indicates a liquid secondary market where investors are both a source of demand and supply.

Institutional investors logged zero transactions in the quarter, further cementing the finding that market activity in Brown County is driven by the buying and selling behavior of small, independent landlords.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords control 99.4% of Brown County's investor market and are its sole source of growth.
Holdings
Investors own 1,906 SFR properties, representing a significant 28.4% of Brown County's market. Individual investors hold the vast majority with 1,616 properties (84.8%), while companies own the remaining 315 (16.5%).
Pricing
In a major market shift, landlords paid 23.9% less than homeowners in Q1 2026, securing an average discount of $96,177 per property ($306,995 vs $403,172). This reverses the trend from 2025, when they paid steep premiums.
Activity
Landlords purchased 27.7% of all SFRs sold in Q4 2025, with all 13 of those acquisitions made by new, single-property landlords entering the market. Institutional investors made zero purchases.
Market Share
Small, mom-and-pop landlords (1-10 properties) have near-total control of the investor market, owning 99.4% of all investor-held SFRs. Institutional investors (1,000+ properties) have a negligible 0.1% share.
Ownership Type
Individual investors overwhelmingly own smaller portfolios, but companies become the dominant owner type in portfolios of 6 or more properties, holding 89.5% of assets in the 6-10 property tier.
Transactions
Landlords are aggressive net buyers with a 4.7x buy-to-sell ratio in Q1 2026 (14 buys vs 3 sells). In contrast, institutional investors are largely inactive, showing no significant accumulation or selling.
Market Narrative

In Brown County, Indiana, the real estate investing landscape is defined by the overwhelming dominance of small, independent operators. Investors control a substantial 28.4% of the single-family housing market, totaling 1,906 properties. This portfolio is firmly in the hands of individuals, who own 84.8% of these homes. The market structure is highly fragmented: mom-and-pop landlords (1-10 properties) control 99.4% of investor-owned housing, while large institutional firms have a nearly invisible footprint at just 0.1%.

Investor behavior in early 2026 signals a strategic shift. After a year of paying premiums, landlords are now acquiring properties at a 23.9% discount compared to traditional homeowners, demonstrating increased market leverage. This activity is driven exclusively by new entrants, as 100% of landlord purchases in the most recent quarter were made by single-property investors. The broader investor community continues to accumulate properties aggressively, buying 4.7 homes for every one sold in Q1 2026, confirming strong confidence in the local market.

The key takeaway from this analysis is that the Brown County rental market is built and sustained by local, small-scale enterprise, not large corporations. The growth, liquidity, and pricing dynamics are all dictated by the actions of thousands of individual investors. This hyper-local, fragmented ownership structure suggests a market that is resilient and deeply embedded in the community, a trend that is visible in many similar markets analyzed in our Investor Pulse reports.

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 04:31 PM
Data Period Q1 2026
Geography Level County
Geography Brown (IN)
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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 (IN) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-in-brown/. Licensed under CC BY-NC-ND 4.0.