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

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

Market Overview

Total SFR Properties in Union (SC)
8,644
Total Investors in Union (SC)
1,598
Investor Owned SFR in Union (SC)
1,969(22.8%)
Individual Landlords
Landlords
1,450
SFR Owned
1,726
Corporate Landlords
Landlords
148
SFR Owned
245
Understanding Property Counts

Distinct Count Methodology: The total 1,969 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

Small Landlords Dominate Union County with 91% Ownership, Securing 42% Discounts as Institutions Exit
In Union County, SC, investors own 22.8% of the SFR market (1,969 properties), with mom-and-pop landlords controlling a massive 90.8%. These investors are actively buying, securing a 41.8% discount compared to homeowners in Q1 2026, while the market's few institutional players are divesting.
Landlord Owned Current Holdings
Investors own 1,969 SFRs in Union County, with individuals holding a dominant 87.7% share.
Cash is the preferred acquisition method, with 1,919 properties owned outright compared to just 50 financed. The portfolio is heavily rental-focused, with 96.3% of properties designated as non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords in Union County secured a staggering 41.8% discount in Q1, paying $63,553 less than homeowners.
The significant investor discount has been consistent, though it narrowed slightly from over 45% in mid-2025 to 41.8% in the latest quarter. This trend demonstrates a persistent pricing advantage for investors.
Current Quarter Purchases
Investors captured 40.7% of the Union County market in Q4 2025, purchasing 11 of 27 homes sold.
Mom-and-pop investors drove this activity, accounting for 72.7% of all landlord purchases. In contrast, institutional investors made zero acquisitions, highlighting a market dominated by smaller players.
Ownership by Tier
Mom-and-pop landlords control a staggering 90.8% of Union County's investor-owned housing.
Single-property landlords are the bedrock of the market, owning 66.9% of the rental stock. In contrast, institutional investors have a negligible footprint at just 0.3% and were net sellers in 2024.
Ownership by Tier & Type
Companies take majority ownership at the 11-20 property tier, signaling the crossover from individual to corporate strategy.
Individuals overwhelmingly dominate smaller portfolios, controlling 93.9% of single-property holdings. The transition to majority-company ownership begins once a portfolio exceeds 10 properties.
Geographic Distribution
Investor activity in Union County is concentrated in the 29379 zip code, which holds 1,297 investor-owned properties.
The highest investor penetration is in the 29364 zip code, where landlords own 46.6% of SFRs. This contrasts with 29379, the leader by volume, which has a more moderate 22.4% ownership rate.
Historical Transactions
Landlords remain strong net buyers in Q1 2026 with a 6-to-1 buy/sell ratio, while institutions were net sellers in 2024.
Acquisition volume is trending up slightly, with 34 purchases in 2025 compared to 30 in 2024. In the most recent quarter (Q1 2026), landlords bought 12 properties while only selling 2.
Current Quarter Transactions
Landlords were a major force in Q1 2026, participating in 40.0% of all SFR transactions in Union County.
Activity was driven entirely by smaller investors, with mom-and-pop landlords conducting 9 transactions while institutions had zero. New single-property landlords paid an average of $105,240 and sourced 12.5% of their acquisitions from other investors.

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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 1,969 SFRs in Union County, with individuals holding a dominant 87.7% share.
Detailed Findings

Investors hold a significant 22.8% share of the single-family residential market in Union County, owning 1,969 of the 8,644 total properties. This level of penetration indicates a mature rental market with a substantial inventory controlled by landlords.

The ownership landscape is overwhelmingly composed of individual investors rather than corporations. Individuals own 1,726 properties, constituting 87.7% of the investor-owned portfolio, compared to just 245 properties (12.4%) owned by companies.

This individual dominance is also reflected in the entity count, with 1,450 individual landlords making up the vast majority of the 1,598 total investors. This points to a highly fragmented market composed of many small-scale operators.

Investors in this market display a strong preference for all-cash acquisitions. A total of 1,919 properties are owned free and clear, while only 50 are financed, signaling that most investors are not leveraged and have substantial equity in their holdings.

The portfolio is clearly geared towards generating rental income. Of the 1,969 properties, 1,896 are classified as rented, meaning 96.3% of the inventory serves as housing for tenants, defining the core business model for investors in the area.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords in Union County secured a staggering 41.8% discount in Q1, paying $63,553 less than homeowners.
Detailed Findings

Investors in Union County acquired properties at a profound discount compared to traditional homebuyers in Q1 2026. The average landlord purchase price was $88,527, which is $63,553, or 41.8%, below the average homeowner price of $152,080.

This pricing advantage for investors is a consistent market feature, though the size of the discount has moderated slightly. In Q3 2025, the discount was 45.7% ($93,911), and in Q2 2025 it was 45.4% ($87,101), indicating a persistent ability for investors to secure properties well below typical market rates.

The acquisition prices paid by landlords in Q1 2026 ($88,527) are remarkably close to the average price seen during the 2020-2023 pandemic-era boom ($89,977). This suggests that while homeowner prices have risen, investors have managed to keep their acquisition costs stable.

The ability to purchase properties with such a significant price gap gives investors a competitive edge, allowing for stronger potential cash flow and higher return on investment from the outset. This pattern suggests investors are targeting distressed or off-market properties not typically available to traditional buyers.

While pricing data reveals a clear trend, it's important to note the low volume of transactions in some recent quarters. This indicates that the market, while favorable for buyers with capital, may have limited inventory, with the averages reflecting a small number of strategic purchases.

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
Investors captured 40.7% of the Union County market in Q4 2025, purchasing 11 of 27 homes sold.
Detailed Findings

Landlords represented a formidable buying force in the Q4 2025 market, acquiring 11 of the 27 total SFR properties sold. This 40.7% market share underscores their significant impact on local housing demand and sales activity.

The acquisition activity was almost entirely driven by small-scale 'mom-and-pop' investors. Those in Tiers 01-04 (owning 1-10 properties) were responsible for 8 of the 11 landlord purchases, or 72.7% of the investor total.

The market saw an influx of new participants, with 8 new entities purchasing their very first investment property. This demonstrates a healthy pipeline of new capital entering the local rental market from first-time landlords.

Notably absent from the purchasing activity were institutional investors. The largest tier (1000+ properties) made zero acquisitions in the quarter, reinforcing the theme that this market is fueled by local entrepreneurs, not large corporations.

While mom-and-pop investors led the charge, there was some activity from larger regional players. One entity in the 101-1000 property tier acquired 2 homes, indicating some portfolio consolidation among established mid-size and large operators.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a staggering 90.8% of Union County's investor-owned housing.
Detailed Findings

The investor landscape in Union County is overwhelmingly dominated by small landlords. Investors owning 1-10 properties (Tiers 01-04) collectively control 90.8% of all investor-owned single-family homes, establishing them as the primary providers of rental housing.

The single-property landlord (Tier 01) is the most significant segment, alone accounting for 1,323 properties, or 66.9% of the entire investor-owned portfolio. This high concentration underscores the importance of first-time and small-scale investors to the local market's health.

In stark contrast to prevailing narratives about corporate landlords, institutional investors (Tier 09, 1000+ properties) have a nearly non-existent presence. They own just 5 properties in total, representing a mere 0.3% of the investor market share.

Mid-size investors (owning 11-1000 properties) bridge the gap, collectively holding the remaining 8.9% of the portfolio. This segment, while small, includes established regional players who contribute to market liquidity.

This ownership structure reveals a highly decentralized and fragmented market. The dominance of mom-and-pop landlords suggests that the real estate investing environment in Union County is more accessible to individuals than to large-scale institutions, fostering a different set of market dynamics.

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

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies take majority ownership at the 11-20 property tier, signaling the crossover from individual to corporate strategy.
Detailed Findings

While individuals own the vast majority of rental properties overall in Union County, the ownership structure shifts as portfolios grow. The critical inflection point occurs in the 11-20 property tier (Tier 05), where companies first become the majority owners, holding 51.2% of properties compared to 48.8% for individuals.

In smaller portfolios, individual ownership is nearly absolute. Individuals own 93.9% of properties in the single-property tier and 87.4% in the two-property tier, illustrating that the path into real estate investment is typically started by private persons.

This data suggests a clear strategic shift: as landlords scale their operations beyond 10 properties, they are more likely to formalize their business by incorporating, likely for liability protection and financial management purposes.

A unique anomaly appears in the 21-50 property tier, where individual ownership surprisingly returns to a strong majority at 94.7%. This indicates that even some significantly sized portfolios in Union County are managed by individuals rather than formal corporate entities, a distinct local characteristic.

The pattern highlights that the journey of a real estate investor in this market often begins with personal capital and transitions to a corporate structure only at a specific point of scale, with many choosing to remain as individual operators even with larger holdings.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Union County is concentrated in the 29379 zip code, which holds 1,297 investor-owned properties.
Detailed Findings

Investor holdings in Union County are heavily concentrated by volume in a single area. The 29379 zip code is the epicenter of investor ownership, containing 1,297 landlord-owned SFRs, which is roughly two-thirds of the entire investor portfolio in the county.

However, the highest market penetration is found elsewhere. In the 29364 zip code, investors own 46.6% of all single-family homes, making it the most saturated submarket on a percentage basis. In this area, nearly one in every two homes is a rental.

This highlights a key distinction between volume and rate. While 29379 has the most investor-owned properties, its overall ownership rate of 22.4% is half that of 29364. This suggests different market dynamics, with 29379 being a larger, more diverse area and 29364 being a smaller market heavily targeted by investors.

Other areas with high investor saturation include 29031 (28.0% ownership rate) and 29321 (23.5% ownership rate). These figures show that significant investor presence is not limited to just one or two zip codes but is a feature across several parts of the county.

Analysis of this geographic distribution is crucial for understanding localized market impacts, as high concentrations of rental properties can influence neighborhood character, housing availability for owner-occupants, and local property values.

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 remain strong net buyers in Q1 2026 with a 6-to-1 buy/sell ratio, while institutions were net sellers in 2024.
Detailed Findings

Landlords in Union County are in a clear accumulation phase, consistently buying more properties than they sell. In Q1 2026, they demonstrated strong bullish sentiment by purchasing 12 properties and selling only 2, resulting in a net gain of 10 properties for the investor community.

This net-buyer trend has been consistent over the past two years. In 2025, investors added a net of 17 properties to their portfolios, and in 2024, they added a net of 13. This sustained accumulation signals long-term confidence in the local rental market.

In a significant divergence, institutional investors (1000+ tier) have been divesting. In 2024, this cohort was a net seller, purchasing 2 properties while selling 3. This suggests a strategic retreat by the largest players, likely transferring ownership to smaller, local landlords.

Overall transaction velocity shows a stable to slightly increasing trend. Landlords completed 34 purchases in 2025, up from 30 in 2024. The 12 acquisitions in Q1 2026 represent a strong start to the year, on pace to exceed prior years' totals.

The combination of broad-based buying from smaller landlords and targeted selling from the few institutional holders paints a picture of a market consolidating under the control of local investors who are actively growing their portfolios.

Current Quarter Transactions

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

Key Insight
Landlords were a major force in Q1 2026, participating in 40.0% of all SFR transactions in Union County.
Detailed Findings

In the first quarter of 2026, landlords played a pivotal role in market liquidity, being a party to 12 of the 30 total SFR transactions, a 40.0% share. This high level of participation indicates that investors are a primary driver of sales activity in Union County.

Transaction activity was dominated by the smallest investors. Landlords in the single-property tier (Tier 01) were responsible for 8 of the 12 investor transactions, showing that market growth is being fueled by new entrants and small-scale players expanding their holdings.

Institutional investors were completely inactive, with zero transactions recorded in Q1. This reinforces the finding that the transactional market is a local affair, with no participation from large, national firms.

Inter-landlord trading appears to be minimal. Of the 8 properties purchased by single-property landlords, only one (12.5%) was acquired from another investor. This low rate suggests that most investors are finding deals from traditional homeowners or off-market sources rather than trading within their own community.

New investors entering the market paid an average of $105,240 per property. This is notably higher than the overall average landlord purchase price of $88,527 for the quarter, which may indicate that experienced investors are finding better deals than newcomers.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Union County with 91% Ownership, Securing 42% Discounts as Institutions Exit
Holdings
Investors own 1,969 SFR properties, representing 22.8% of the total market in Union County, SC. Ownership is dominated by individuals, who hold 1,726 properties (87.7%) compared to 245 (12.4%) for companies.
Pricing
In Q1 2026, landlords demonstrated significant purchasing power by paying 41.8% less than traditional homeowners, an average discount of $63,553 per property ($88,527 vs $152,080).
Activity
Landlords acquired 40.7% of all homes sold in the most recent quarter of purchase data (Q4 2025), with activity driven by small investors, including 8 new single-property landlords entering the market.
Market Share
The market is overwhelmingly controlled by small 'mom-and-pop' landlords (1-10 properties), who own 90.8% of investor-held housing. In stark contrast, institutional investors (1000+) hold a mere 0.3%.
Ownership Type
Individual investors form the backbone of the market, but companies become the majority owners in portfolios of 11-20 properties. Uniquely, individuals regain majority ownership even in the 21-50 property tier.
Transactions
Landlords are actively accumulating properties, posting a 6-to-1 buy-to-sell ratio in Q1 2026 (12 buys vs 2 sells). This contrasts sharply with institutional investors, who were net sellers in 2024.
Market Narrative

The single-family rental market in Union County, South Carolina is fundamentally shaped by small, individual investors. Landlords own 1,969 homes, comprising 22.8% of the county's total SFR housing stock. This portfolio is overwhelmingly in the hands of 'mom-and-pop' operators (1-10 properties), who control a massive 90.8% share, while institutional firms have a negligible 0.3% footprint. The ownership base itself is comprised mainly of individuals (87.7%) rather than companies, underscoring the local, entrepreneurial nature of the rental market.

Investor behavior is characterized by strategic acquisition and active growth. In the most recent quarter, landlords were involved in 40.0% of all home sales and demonstrated a significant pricing advantage, paying an average of 41.8% less than traditional homeowners. This purchasing power fuels their consistent portfolio expansion, as evidenced by a strong 6-to-1 buy-to-sell ratio in Q1 2026. While the broad base of smaller landlords is actively accumulating properties, the few institutional players in the market have been net sellers, signaling a transfer of assets to local hands.

The key takeaway from this Investor Pulse report is that Union County's housing market is not driven by Wall Street, but by its own residents. The market's dynamics are defined by the deal-finding ability and long-term confidence of thousands of small investors who are steadily growing their holdings. This structure creates a resilient, fragmented rental landscape where opportunities for growth are captured by agile, local players rather than large, centralized corporations.

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 02:15 AM
Data Period Q1 2026
Geography Level County
Geography Union (SC)
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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 Union (SC) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-sc-union/. Licensed under CC BY-NC-ND 4.0.