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

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

Market Overview

Total SFR Properties in Union (SD)
4,449
Total Investors in Union (SD)
620
Investor Owned SFR in Union (SD)
428(9.6%)
Individual Landlords
Landlords
589
SFR Owned
409
Corporate Landlords
Landlords
31
SFR Owned
29
Understanding Property Counts

Distinct Count Methodology: The total 428 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

Union County's Real Estate Investor Market is Dominated by Small Landlords Amid a Near-Total Freeze in Recent Activity
Investors own 9.6% of Single-Family Residential properties in Union County, with individual, small-scale landlords controlling an overwhelming 99.1% of that portfolio. While landlords were net buyers in 2024, recent quarters have seen a complete halt in purchasing activity, signaling a significant market slowdown.
Landlord Owned Current Holdings
Individual investors own 95.6% of the 428 landlord-held properties in Union County.
The vast majority of investor properties are owned with cash (345) versus financing (83). Of the 620 total landlords, 589 are individuals, while only 31 are companies. A total of 417 properties are identified as rented.
Landlord vs Traditional Homeowners
Pricing data shows extreme volatility due to low transaction volume, with landlords paying a 14.5% premium in one quarter and a 74.0% discount in another.
In 2025-Q1, landlords paid an average of $361,500, which was $45,801 more than traditional homeowners. Conversely, in 2025-Q3, the average landlord price was just $100,000, representing a $285,321 discount compared to homeowners at $385,321. This wide swing reflects a market with very few transactions.
Current Quarter Purchases
Investor purchasing activity came to a complete halt, with landlords making zero acquisitions out of the 2 total SFR purchases in Q4 2025.
Both mom-and-pop (Tiers 01-04) and institutional (Tier 09) investors recorded zero purchases in the most recent quarter. The lack of activity spans across all investor sizes, indicating a market-wide pause.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control the market, owning 99.1% of all investor-held SFRs in Union County.
Single-property landlords alone account for 94.9% of the investor-owned housing stock, holding 408 properties. Institutional investors with over 1,000 properties have zero presence, owning 0.0% of the market.
Ownership by Tier & Type
Individual investors are the dominant force across every ownership tier, with no crossover point where companies take a majority stake.
Even in the 'Small landlord (3-5)' tier, individuals own 88.9% of the properties (8 homes), while companies own just 11.1% (1 home). In the largest 'Single-property' tier, individuals own 393 properties (94.0%).
Geographic Distribution
Investor activity is highly concentrated, with two zip codes, 57025 and 57001, accounting for 64% of all investor-owned properties.
The zip code 57001 has the highest investor ownership rate at 22.3%, followed closely by 57025 at 21.6%. These areas show significantly higher landlord penetration than the rest of the county.
Historical Transactions
In 2024, landlords in Union County were net buyers, acquiring 18 properties while selling only 8.
This net acquisition of 10 properties in 2024 demonstrates a growth-oriented stance for the year. No institutional transaction data is available, as investors of that scale are not active in this market.
Current Quarter Transactions
Landlord transaction share in Q1 2026 was zero, as investors were involved in none of the 3 total SFR transactions.
Activity was non-existent across all tiers, with both mom-and-pop and institutional segments recording zero transactions. This lack of participation signals a deep freeze in the investor market at the start of the year.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Individual investors own 95.6% of the 428 landlord-held properties in Union County.
Detailed Findings

In Union County, investors hold 428 single-family residential properties, accounting for 9.6% of the total 4,449 SFRs. This portfolio is overwhelmingly controlled by individual investors rather than corporations, challenging common narratives about large-scale ownership.

Individual landlords own 409 properties, a commanding 95.6% share, while companies own the remaining 29 properties (6.8%). This pattern extends to the entity level, where 589 of the 620 landlords (95.0%) are individuals.

A significant majority of these investment properties, 417 in total, are classified as rented, confirming their use as housing supply for the rental market. This high rental rate underscores the primary strategy of investors in the area.

Financial analysis of these holdings reveals a preference for low-leverage positions. Investors own 345 properties with cash, more than four times the 83 properties that are financed. This suggests a stable, risk-averse investor base that is less susceptible to interest rate fluctuations.

The composition of the investor landscape in Union County is clearly defined by small-scale, individual participation, with corporate entities playing a minimal role in the local real estate investing scene.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Pricing data shows extreme volatility due to low transaction volume, with landlords paying a 14.5% premium in one quarter and a 74.0% discount in another.
Detailed Findings

Acquisition pricing in Union County shows significant volatility, a direct result of extremely low transaction volumes in recent quarters. Landlord purchase prices have fluctuated dramatically, making trend analysis challenging.

In Q1 2025, the data indicates landlords paid a premium, with an average acquisition price of $361,500 compared to the traditional homeowner average of $315,699. This represents a 14.5% premium, or $45,801 more per property.

However, this trend reversed sharply in Q3 2025, where the average landlord purchase price plummeted to $100,000. This was 74.0% less than the homeowner average of $385,321, a staggering discount of $285,321.

This extreme price swing between quarters with minimal transactions underscores the unreliability of using this data to establish a consistent landlord discount or premium. It suggests that the few properties traded were likely outliers with unique characteristics.

Looking at a broader period, the average acquisition price during the 2020-2023 boom was $190,927, indicating that recent transactions, despite their volatility, are occurring at higher price points than those seen during the pandemic-era housing market.

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
Investor purchasing activity came to a complete halt, with landlords making zero acquisitions out of the 2 total SFR purchases in Q4 2025.
Detailed Findings

The fourth quarter of 2025 marked a period of complete inactivity for real estate investors in Union County. Landlords acquired zero of the two single-family homes sold during this period, resulting in a 0% market share.

This halt in purchasing was consistent across all investor sizes. Mom-and-pop landlords, who form the backbone of the local market, made no acquisitions, accounting for 0.0% of landlord purchases.

Similarly, institutional investors, who already have no significant presence in the county, also recorded zero purchases. This lack of activity from any investor tier points to a broader market freeze rather than a strategic shift by a single segment.

The absence of new acquisitions means there were no new landlords entering the market via single-property purchases in Q4. This stagnation contrasts with historical activity and signals a potential shift in local market dynamics, possibly driven by economic conditions or a lack of desirable inventory.

Overall, the Q4 data paints a clear picture of a dormant investor market, with capital seemingly sitting on the sidelines.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control the market, owning 99.1% of all investor-held SFRs in Union County.
Detailed Findings

The ownership structure in Union County is unequivocally dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, control a staggering 99.1% of the entire investor-owned SFR portfolio.

This concentration is most pronounced in the smallest tier. Landlords with a single property (Tier 01) own 408 homes, which represents 94.9% of all investor-owned properties. This highlights that the market is primarily composed of individuals with one rental home.

Mid-size landlords are a rarity, with the 11-20 property tier holding just 3 properties (0.7%) and the 101-1000 tier holding only one property (0.2%).

In stark contrast to national headlines, institutional investors (Tier 09, 1000+ properties) have absolutely no footprint in Union County, with a 0.0% market share. This market operates entirely without the influence of large-scale corporate landlords.

The data from assessor data confirms a highly fragmented and localized ownership landscape, where the typical investor is a local resident with a very small portfolio.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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
Individual investors are the dominant force across every ownership tier, with no crossover point where companies take a majority stake.
Detailed Findings

A breakdown of ownership by entity type reveals that individual investors maintain majority control across all portfolio sizes in Union County. Unlike larger metropolitan markets, there is no tier where corporate ownership becomes the norm.

In the largest tier by property count, single-property owners, individuals hold 393 of the properties, a 94.0% share, compared to just 25 properties held by companies.

This pattern continues even as portfolio sizes increase slightly. Among landlords owning 3-5 properties, individuals control 8 of the 9 homes (88.9%).

The data shows a complete absence of a 'crossover point' where companies surpass individuals in ownership. The local investment scene is fundamentally driven by personal capital, not corporate strategy.

This structure suggests that the market is more influenced by the financial decisions of local individuals rather than the broader portfolio strategies of regional or national companies.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with two zip codes, 57025 and 57001, accounting for 64% of all investor-owned properties.
Detailed Findings

Geographic analysis of investor holdings in Union County reveals a significant concentration of activity in specific areas. Two zip codes stand out as the primary hubs for rental properties.

The zip code 57025 contains the highest absolute number of investor-owned homes, with 183 properties. This is followed by 57001, which has 92 properties. Together, these two areas contain 275 of the 428 total investor properties, representing 64.2% of the county's entire investor portfolio.

When analyzing ownership rates, these same zip codes lead the county. The 57001 zip code has the highest penetration, with 22.3% of its SFRs owned by investors. The 57025 zip code is a close second, with a 21.6% investor ownership rate.

Other areas with notable investor presence include 57034, where investors own 16.7% of homes, and 57038, with an 11.9% rate. This contrasts sharply with areas like 57049, which has a large housing stock but a low investor ownership rate of only 2.7%.

This data indicates that investor acquisition strategies are not uniform across the county but are instead targeted at specific communities, likely driven by factors such as rental demand, property values, and local regulations.

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
In 2024, landlords in Union County were net buyers, acquiring 18 properties while selling only 8.
Detailed Findings

Historical transaction data from 2024 shows that landlords in Union County were actively expanding their portfolios. During the year, they collectively purchased 18 single-family homes while selling only 8.

This activity resulted in a net gain of 10 properties, establishing landlords as clear net buyers for that period. The buy-to-sell ratio was 2.25, meaning investors were acquiring properties at more than double the rate they were divesting them.

This trend from 2024 provides a crucial baseline, highlighting that the recent halt in purchasing activity in 2025 is a significant departure from prior behavior. The market has shifted from net accumulation to a standstill.

As there are no institutional investors (1000+ properties) operating in the county, all transaction activity is attributable to small and mid-sized landlords. Their collective sentiment in 2024 was positive, though it appears to have since cooled dramatically.

Current Quarter Transactions

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

Key Insight
Landlord transaction share in Q1 2026 was zero, as investors were involved in none of the 3 total SFR transactions.
Detailed Findings

The first quarter of 2026 continued the trend of investor inactivity seen in late 2025. Landlords were not party to any of the 3 SFR transactions that occurred in Union County, giving them a 0% share of market activity.

This inactivity was universal across all investor sizes. Mom-and-pop landlords (Tiers 01-04), who own 99.1% of the rental stock, did not record a single purchase or sale.

No inter-landlord trading was observed, as there were no transactions to analyze. This indicates a lack of portfolio repositioning or churning among existing owners.

The average purchase price for all tiers was $0, reflecting the complete absence of acquisitions. This lack of new pricing data makes it impossible to assess current valuation trends from an investor perspective.

The Q1 data confirms that the investor market in Union County remains dormant, with capital not being deployed into new acquisitions as the year begins.

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Union County's investor market is defined by small, individual landlords who control 99.1% of holdings amid a recent halt in buying activity.
Holdings
Investors own 428 SFR properties, representing 9.6% of Union County's market. Individual investors overwhelmingly dominate, holding 409 of these properties (95.6%) compared to just 29 (6.8%) owned by companies.
Pricing
Pricing data is highly volatile due to extremely low sales volume, showing landlords paying a 14.5% premium ($45,801) in Q1 2025 and a 74.0% discount ($285,321) in Q3 2025 compared to homeowners.
Activity
Investor purchasing has frozen, with landlords accounting for 0% of the 2 SFR purchases in Q4 2025. No new landlords entered the market, and all investor tiers reported zero acquisitions.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) have near-total control, owning 99.1% of investor housing. Institutional investors (1000+ properties) are entirely absent from this market, holding a 0.0% share.
Ownership Type
Individual investors are the majority in every portfolio tier, with no crossover point where companies become dominant. Companies own just 6.8% of the total investor-owned properties.
Transactions
While landlords were net buyers in 2024 (18 buys vs. 8 sells), transaction activity has since ceased. There is no institutional transaction data as they are not active in Union County.
Market Narrative

The real estate investor market in Union County, SD, is characterized by a deeply entrenched and fragmented ownership structure. Investors hold 428 single-family residential properties, making up 9.6% of the county's total SFR stock. This market is overwhelmingly dominated by small, individual landlords. Individuals own 409 of the properties (95.6%), while 'mom-and-pop' investors with 1-10 homes control a staggering 99.1% of all investor-owned housing. In stark contrast, institutional-scale investors with portfolios exceeding 1,000 properties are completely absent, holding a 0.0% market share.

Recent market activity signals a significant slowdown. After being net buyers in 2024, with 18 acquisitions versus 8 sales, landlords have ceased purchasing altogether in recent quarters. In the last quarter of 2025, investors made zero purchases, capturing 0% of market activity. This inactivity makes recent pricing analysis volatile and unreliable; landlord purchase prices swung from a 14.5% premium over homeowners in one quarter to a 74.0% discount in another, a clear sign of an illiquid market with outlier sales. This comprehensive market data is highlighted in our various market reports.

The key takeaway from this analysis is that Union County is a quintessential small-investor market, insulated from the influence of large corporations. The current freeze in transaction activity, following a period of accumulation in 2024, suggests a 'wait-and-see' approach from this local investor base. Market dynamics are heavily concentrated in specific zip codes like 57001 and 57025, where investor ownership rates exceed 21%. The future direction of this market will be dictated not by institutional strategy, but by the collective decisions of hundreds of individual owners navigating local economic conditions.

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 02:33 AM
Data Period Q1 2026
Geography Level County
Geography Union (SD)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

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