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

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

Market Overview

Total SFR Properties in Brown (SD)
12,309
Total Investors in Brown (SD)
2,182
Investor Owned SFR in Brown (SD)
2,384(19.4%)
Individual Landlords
Landlords
1,944
SFR Owned
1,925
Corporate Landlords
Landlords
238
SFR Owned
465
Understanding Property Counts

Distinct Count Methodology: The total 2,384 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: Dominated by Small Landlords Amid a Frozen Transaction Market
Investors own 19.4% of single-family homes in Brown County, with small, individual landlords controlling a staggering 96.1% of that portfolio. The market showed no signs of investor activity in the last quarter, with zero purchases or sales recorded, indicating a period of extreme stability and a focus on long-term holds rather than active trading.
Landlord Owned Current Holdings
Investors own 2,384 SFRs, 19.4% of the market, with individuals holding 80.7%.
The majority of investor-owned properties are held in cash (1,878 properties) rather than financed (506). Individual landlords (1,944) vastly outnumber company landlords (238), reinforcing the market's 'mom-and-pop' character.
Landlord vs Traditional Homeowners
No landlord acquisition price data is available due to zero recorded transactions in Q1 2026.
The complete absence of recent sales activity prevents any price comparison between landlords and traditional homeowners. Consequently, analysis of historical price trends or the landlord-homeowner price gap is not possible for this period.
Current Quarter Purchases
Landlords acquired 0.0% of homes sold in Brown County last quarter, with zero total purchases.
There was no activity across any investor tier; both mom-and-pop (Tiers 01-04) and institutional (Tier 09) landlords recorded zero acquisitions. The market saw no new landlords entering via single-property purchases.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 96.1% of investor SFRs.
Single-property landlords are the largest group, owning 1,560 properties or 64.8% of the total. In stark contrast, institutional investors (1,000+ properties) have a minimal footprint, with just 4 properties representing 0.2% of the market.
Ownership by Tier & Type
Individuals own most small portfolios; companies gain majority ownership at the 11-20 property tier.
Individuals own 91.8% of single-property rentals, showcasing their dominance at the entry level. The balance shifts in the 11-20 property tier, where companies own 65.1% of the properties, indicating a trend toward professionalization with scale.
Geographic Distribution
Investor ownership is heavily concentrated in zip code 57401, which contains 1,589 properties.
While 57401 has the highest volume, smaller zip codes exhibit the highest penetration rates, including 57461 (66.7%), 57426 (51.9%), and 57479 (44.3%). Data for 57422 was not available for comparison.
Historical Transactions
No historical transaction data is available, preventing analysis of long-term landlord buy/sell trends.
It is not possible to calculate buy/sell ratios to determine if landlords are net buyers or sellers over time. Analysis of inter-landlord trading and historical price margins is also unavailable.
Current Quarter Transactions
Landlords participated in 0.0% of Q1 transactions, with no recorded deals.
No transactions were recorded across any investor tier, from single-property owners to institutional firms. The average purchase price was $0 for all tiers due to the complete lack of activity.

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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 2,384 SFRs, 19.4% of the market, with individuals holding 80.7%.
Detailed Findings

In Brown County, landlords hold a significant 2,384 single-family residential properties, which constitutes 19.4% of the total 12,309 SFRs in the market. This reveals a substantial rental presence within the local housing ecosystem.

The ownership structure is overwhelmingly dominated by individual investors. They own 1,925 properties, or 80.7% of the investor-owned portfolio, compared to just 465 properties (19.5%) held by companies. This highlights a market driven by local, small-scale real estate investing rather than large corporate entities.

A defining characteristic of this market is the preference for cash ownership. A total of 1,878 properties are owned outright without financing, compared to only 506 that are financed. This 3.7-to-1 cash-to-financed ratio suggests a financially stable investor base with low leverage.

The vast majority of these properties (2,306 of 2,384) are classified as non-owner-occupied or rented, confirming their primary use as rental housing. This strong rental focus underscores the importance of landlords in providing housing options within the county.

The disparity in entity types is stark, with 1,944 individual landlords compared to 238 company landlords. This nearly 8.2-to-1 ratio of individuals to companies further solidifies the narrative that Brown County's rental market is built upon a foundation of numerous small, independent operators.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No landlord acquisition price data is available due to zero recorded transactions in Q1 2026.
Detailed Findings

Analysis of acquisition pricing for landlords in Brown County is not possible for the most recent quarter, as there were no recorded SFR purchases by investors. This lack of activity provides its own insight, suggesting a market that has paused in terms of investor growth.

Without any transactions, a comparison between landlord and traditional homeowner acquisition prices cannot be made. This prevents an assessment of whether investors are acquiring properties at a discount, a common trend in more active markets.

The data freeze also means that quarter-over-quarter and year-over-year price trends cannot be established. The market's price trajectory for investor-acquired assets remains undefined due to the static transaction environment.

This absence of data is a significant finding in itself. It points to a market characterized by either a lack of willing sellers, a lack of interested buyers, or investors who are content to hold their existing portfolios without expansion.

For stakeholders watching Brown County, the key takeaway is not a specific price point but the complete halt in transactional velocity among investors, signaling a period of stability, stagnation, or illiquidity.

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords acquired 0.0% of homes sold in Brown County last quarter, with zero total purchases.
Detailed Findings

Investor purchasing activity in Brown County came to a complete standstill in the last quarter, with landlords making zero SFR acquisitions. This brought their share of market purchases to 0.0%, a clear indicator of a dormant period for investor expansion.

The inactivity was universal across all investor sizes. Mom-and-pop landlords (1-10 properties), who represent the vast majority of owners in the area, did not add any new properties to their portfolios.

Similarly, the market's few institutional-scale investors (1,000+ properties) were also inactive, recording zero purchases. This lack of activity at both ends of the spectrum points to market-wide conditions affecting all investor types.

A key metric of market health and growth, the formation of new single-property landlords, was also at zero. No new investors entered the Brown County SFR market during this period, suggesting a high barrier to entry or a lack of appealing opportunities.

This purchasing halt could signal several market dynamics: a 'hold' strategy by current owners, a lack of available inventory that meets investor criteria, or pricing that is misaligned with investor return expectations.

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 96.1% of investor SFRs.
Detailed Findings

The investor landscape in Brown County is unequivocally dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control a massive 96.1% of all investor-held SFRs.

The most granular level of ownership is also the most significant. Landlords with just a single property (Tier 01) represent the largest segment, holding 1,560 properties. This accounts for 64.8% of the entire investor-owned inventory, highlighting the market's reliance on first-time or small-time investors.

Mid-size investors play a much smaller role. Tiers covering 11-100 properties collectively own just 89 properties, or 3.7% of the total, showing a sharp drop-off in ownership as portfolio sizes increase.

The presence of institutional capital is almost nonexistent. The largest tier of investors (1,000+ properties) owns only 4 properties in the county, making up a mere 0.2% of the investor-owned market. This defies the common narrative of large corporations dominating rental housing.

This distribution reveals a highly fragmented and localized market structure. Investment strategy is likely driven by thousands of individual decisions rather than a few large portfolio managers, leading to different market dynamics than those seen in institutionally-heavy regions.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4

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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
Individuals own most small portfolios; companies gain majority ownership at the 11-20 property tier.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across portfolio sizes: individuals build the market's foundation, while companies dominate the larger, albeit smaller, tiers. Individuals own 91.8% of all single-property investments (1,437 properties).

This individual dominance continues through the smaller portfolio tiers. They own 72.2% of two-property portfolios and 67.8% of portfolios with 3-5 properties, confirming that the mom-and-pop segment is primarily comprised of individual owners.

The transition point from individual to corporate majority occurs at the 11-20 property tier. At this level, companies own 28 properties (65.1%) compared to the 15 owned by individuals (34.9%), marking the scale at which a more formalized business structure becomes prevalent.

Even as portfolio sizes grow, individuals maintain a presence. In the 6-10 property tier, ownership is nearly split, with individuals holding a slight majority at 51.7% (78 properties) versus 48.3% for companies (73 properties).

This data illustrates a typical investor lifecycle in the county. Investors often start as individuals, and as their portfolios grow beyond 10 properties, the operational and financial benefits of a corporate structure lead to a shift in ownership type.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is heavily concentrated in zip code 57401, which contains 1,589 properties.
Detailed Findings

The geographic distribution of investor-owned properties in Brown County is highly concentrated in one primary area. The 57401 zip code is the clear epicenter of activity, containing 1,589 investor properties, which is roughly 66.7% of all investor-owned SFRs in the county.

However, the highest concentration by volume does not mean the highest market penetration. The 1,589 properties in 57401 represent a 16.1% investor ownership rate, indicating a large but relatively balanced market.

In contrast, several smaller, more rural zip codes display much higher saturation. Zip code 57461 leads with a 66.7% investor ownership rate, followed by 57426 (51.9%), 57446 (44.8%), and 57479 (44.3%). In these areas, investors own a much larger share of a smaller housing stock.

This reveals two distinct investment patterns in the county: a high-volume, moderate-penetration urban core (57401) and several low-volume, high-penetration rural pockets. Investors appear to be targeting both the primary population center and specific outlying communities.

The data for zip code 57422 was unavailable, leaving a gap in the analysis. However, the existing data clearly shows that investor strategy is not uniform across the county, with different areas attracting different levels of investment intensity.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

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

Key Insight
No historical transaction data is available, preventing analysis of long-term landlord buy/sell trends.
Detailed Findings

A comprehensive analysis of historical transaction trends for landlords in Brown County is not possible due to the absence of available data. This gap prevents a long-term view of market liquidity and investor behavior.

Without historical buy and sell counts, the net position of landlords cannot be determined. It's unknown whether investors have been net accumulators or sellers of property over time, which is a key indicator of market sentiment.

The volume of landlord-to-landlord transactions, a measure of internal market churn, also remains unknown. This data is critical for understanding if investors are primarily trading assets among themselves or transacting with the broader public.

Similarly, a comparison of average buy and sell prices over time, which can imply profit margins or appreciation, cannot be performed. This limits insights into the financial performance of rental property investments in the area.

For institutional investors, this lack of data is particularly acute. Their historical strategy, whether one of accumulation or divestment, cannot be charted, leaving their long-term impact on the market unclear.

Current Quarter Transactions

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

Key Insight
Landlords participated in 0.0% of Q1 transactions, with no recorded deals.
Detailed Findings

The first quarter of 2026 was completely static for real estate investors in Brown County, with landlords involved in zero transactions. This resulted in a 0.0% share of the total market transactions, reflecting a total pause in activity.

This inactivity was consistent across all portfolio sizes. The typically active mom-and-pop tiers (1-10 properties) recorded no transactions, indicating that even small-scale investors were not buying or selling.

Likewise, the largest institutional tier also posted zero transactions. The entire investor market, regardless of scale or strategy, was on the sidelines during this period.

As a result of no purchases, the average purchase price for every investor tier was $0. This prevents any analysis of pricing strategies between different-sized investors for the quarter.

The lack of inter-landlord trading was also notable. With zero transactions, there was no movement of properties between investors, suggesting a market focused on holding existing assets rather than reallocating capital.

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Executive Summary

Brown County's Investor Market: 96% Mom-and-Pop Owned Amidst a Frozen Transaction Landscape
Holdings
Landlords own 2,384 SFR properties in Brown County, representing 19.4% of the market. Ownership is dominated by individuals, who hold 1,925 properties (80.7%), while companies own 465 (19.5%).
Pricing
No pricing analysis is available for Q1 2026, as zero sales transactions were recorded for either landlords or traditional homeowners, indicating a static market.
Activity
Investor purchase activity was nonexistent in Q1, with landlords acquiring 0 properties and commanding 0.0% of all sales. No new single-property landlords entered the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 96.1% of investor-owned housing. Institutional investors (1000+) have a negligible share of just 0.2%.
Ownership Type
Individual investors are the backbone of the market, but companies become the majority owners in larger portfolios starting at the 11-20 property tier.
Transactions
The market was completely illiquid for investors in Q1, with 0 buys and 0 sells recorded across all landlord types. Both the overall market and institutional segment were static.
Market Narrative

The single-family rental market in Brown County, South Dakota, is defined by two striking characteristics: overwhelming control by small, individual investors and a complete halt in recent transaction activity. Landlords own a notable 19.4% of the county's SFR housing stock, totaling 2,384 properties. The market's structure firmly rests on 'mom-and-pop' investors (1-10 properties), who control 96.1% of these rentals. This granular ownership is further evidenced by the dominance of individual owners (80.7% of properties) over companies, with institutional firms holding a nearly invisible 0.2% share. This structure suggests a stable, community-embedded rental market rather than one driven by large-scale corporate interests. The full picture of this market is available in our market reports.

Investor behavior in the first quarter of 2026 points to a market in a deep holding pattern. There were zero recorded purchases and zero sales by any investor type, from single-property landlords to institutional funds. This lack of transactions means investors had a 0.0% share of any market activity, and no new landlords entered the market. The static environment prevents any analysis of recent pricing advantages versus homeowners. The existing portfolios are heavily cash-based, with 3.7 times more properties owned outright than financed, suggesting investors are well-capitalized and not under pressure to sell, contributing to the lack of liquidity.

The key takeaway from Brown County is that it represents a mature, illiquid rental market dominated by long-term, small-scale holders. The complete absence of Q1 transactions is not necessarily a negative indicator but rather a sign of a market where assets are rarely traded and are operated for steady returns. For those looking to enter, this implies limited inventory and a need for deep local connections. For existing owners, it reflects a stable environment with little competitive pressure from new, large-scale entrants. The market is one of operation, not acquisition, defined by the thousands of small landlords who form its foundation.

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 22, 2026 at 02:18 AM
Data Period Q1 2026
Geography Level County
Geography Brown (SD)
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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 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 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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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.

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