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

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

Market Overview

Total SFR Properties in Marion (SC)
7,485
Total Investors in Marion (SC)
2,256
Investor Owned SFR in Marion (SC)
2,105(28.1%)
Individual Landlords
Landlords
2,165
SFR Owned
2,018
Corporate Landlords
Landlords
91
SFR Owned
127
Understanding Property Counts

Distinct Count Methodology: The total 2,105 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

Marion County's SFR Market: Dominated by Small, Individual Landlords Amidst a Transactional Freeze
Investors own 2,105 SFR properties in Marion County, SC, representing 28.1% of the market. The landscape is overwhelmingly controlled by local players, with individual investors holding 95.9% of properties and mom-and-pop landlords (1-10 properties) accounting for 98.6% of the portfolio. Recent market activity has halted, with zero landlord purchases or transactions recorded in Q4 2025.
Landlord Owned Current Holdings
Investors own 2,105 SFR properties, with individuals holding a commanding 95.9% share.
All 2,105 investor-owned properties were acquired with cash, with zero properties currently financed. The portfolio is heavily focused on rentals, with 2,084 properties (99.0%) classified as rented.
Landlord vs Traditional Homeowners
No recent landlord or homeowner sales data is available for Marion County, preventing price comparison.
Comparative pricing analysis between landlords and homeowners is not possible due to a lack of recorded transactions in the latest periods. The only available historical data point from 2020-2023 showed an average price of $156,450 but was based on zero properties purchased.
Current Quarter Purchases
Landlords made zero SFR purchases in Marion County during Q4 2025.
The lack of purchasing activity spans all investor tiers, from mom-and-pop to institutional, indicating a market standstill. Consequently, landlords' share of market purchases for the quarter was 0.0%.
Ownership by Tier
Mom-and-pop landlords control a staggering 98.6% of investor properties in Marion County.
Single-property landlords form the market's foundation, owning 1,640 properties, which is 75.7% of all investor SFRs. There is zero institutional ownership (1,000+ properties) in the county.
Ownership by Tier & Type
Companies take majority ownership only in the small 21-50 property tier.
Individuals overwhelmingly control smaller portfolios, owning 95.1% of all single-property rentals. Even in the 51-100 property tier, individuals own 100% of the two properties held.
Geographic Distribution
Two zip codes, 29571 and 29574, hold 83.7% of all investor properties in the county.
The highest investor penetration rate is in zip code 29519, at 100%, though it represents a small number of properties. The zip code with the most investor-owned properties, 29571 (947 properties), has a lower rate of 25.9%.
Historical Transactions
No historical transaction data is available for landlords in Marion County.
Analysis of buy/sell ratios, landlord-to-landlord trades, and pricing trends over time is not possible. The absence of transaction records prevents a deeper look into market liquidity and investor behavior.
Current Quarter Transactions
Landlords conducted zero transactions in Marion County during Q4 2025, representing 0.0% of market share.
The complete lack of Q4 2025 transactions means there is no data on market share, tier activity, or purchase pricing for the period. No inter-landlord trading occurred.

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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 2,105 SFR properties, with individuals holding a commanding 95.9% share.
Detailed Findings

In Marion County, SC, real estate investors hold a significant 2,105 Single-Family Residential (SFR) properties, which constitutes 28.1% of the total 7,485 SFRs in the market. This highlights a substantial investor presence within the local housing ecosystem.

The ownership structure is overwhelmingly dominated by individuals rather than companies. Individual landlords own 2,018 properties, or 95.9% of the investor-owned portfolio, compared to just 127 properties (6.0%) owned by companies. This points to a market characterized by local, small-scale real estate investing.

A striking financial characteristic of this market is the complete absence of leverage among investors. All 2,105 investor-owned properties are classified as cash-owned, with zero properties financed. This suggests that investors in this area either have high liquidity or have held their properties long enough to pay off any mortgages.

The portfolio is almost entirely geared towards generating rental income. Of the 2,105 properties, 2,084 are designated as rented, demonstrating a clear strategy focused on buy-and-hold rentals rather than other forms of investment like flipping.

The entity count further reinforces the individual-driven nature of the market. There are 2,165 individual landlords compared to only 91 company landlords, a ratio of nearly 24 to 1. This indicates that the typical investor is a person or family, not a corporate entity.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No recent landlord or homeowner sales data is available for Marion County, preventing price comparison.
Detailed Findings

A critical finding for Marion County's housing market is the complete absence of recent acquisition price data for both landlords and traditional homeowners. This lack of transactional information makes it impossible to perform a direct price comparison or analyze purchasing trends for the current quarter.

The lack of data suggests a market with very low liquidity or infrequent sales activity, particularly involving investors. In such markets, properties may trade off-market or transactions may not be consistently recorded in public assessor data feeds.

Historical data is also exceptionally sparse. The timeframe covering the pandemic-era boom (2020-2023) shows an average acquisition price of $156,450, but this figure is based on a count of zero properties, rendering it an invalid benchmark for analysis.

Without pricing data, key market health indicators like price appreciation, the landlord-to-homeowner price gap, and strategic pricing differences between investor types cannot be determined. This signals a stable, slow-moving market rather than a dynamic, high-velocity one.

For investors or analysts looking at Marion County, this data gap is an insight in itself. It points to a market where opportunities may be harder to find and value using traditional data-driven methods, requiring more localized, on-the-ground knowledge.

Chart Section6 Prices
Chart Section6 Prices Alt

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlords made zero SFR purchases in Marion County during Q4 2025.
Detailed Findings

In Q4 2025, investor acquisition activity in Marion County came to a complete halt, with zero SFR properties purchased by landlords. This resulted in landlords capturing 0.0% of the total market purchases for the quarter.

The inactivity was universal across all investor sizes. Mom-and-pop landlords (1-10 properties), who dominate ownership in the county, recorded zero purchases. Similarly, institutional investors (1,000+ properties), who have no existing presence, also made no acquisitions.

This transactional freeze indicates a lack of new investment flowing into the market during the period. It could be attributed to several factors, such as a lack of available inventory for sale, unattractive pricing, or a strategic pause from local investors.

No new landlords entered the market in Q4 2025, as indicated by the zero purchases in the single-property (Tier 01) category. This contrasts with more dynamic markets where new investors are constantly making their first acquisitions.

The absence of purchasing activity provides a clear signal about the current state of the market. It is a period of holding and stability, not growth or acquisition, for the local investor community.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a staggering 98.6% of investor properties in Marion County.
Detailed Findings

The investor landscape in Marion County is the epitome of a mom-and-pop market. Landlords owning 1-10 properties (Tiers 01-04) control a combined 98.6% of all investor-owned SFRs, demonstrating an almost total concentration of ownership among small-scale investors.

The most significant group is the single-property landlord (Tier 01), which alone accounts for 1,640 properties. This represents 75.7% of the entire investor-owned portfolio, underscoring that the market is built upon first-time or single-investment landlords.

In stark contrast, there is zero presence from institutional investors (Tier 09, 1,000+ properties). This absence highlights that the market's scale, liquidity, and housing stock characteristics do not align with the acquisition strategies of large-scale corporate investors.

Mid-size landlords are also exceedingly rare. Tiers holding between 11 and 100 properties collectively own just 30 properties, or 1.4% of the investor portfolio. This further reinforces the market's sharp division between very small landlords and no large ones.

Due to the lack of recent transaction data, it is not possible to analyze how acquisition prices vary by tier. However, the ownership structure itself suggests a market that operates on principles of local knowledge and small-volume trades, not bulk acquisitions.

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
Companies take majority ownership only in the small 21-50 property tier.
Detailed Findings

While individual investors dominate Marion County's rental market overall, there is a distinct crossover point where companies become the majority owners. This occurs in the 21-50 property tier, where companies own 25 properties, representing a 51.0% share of that specific bracket.

However, this crossover point is an anomaly in an otherwise individual-dominated landscape. In the foundational single-property tier, individuals own 1,569 of the 1,640 properties, a commanding 95.1% share.

This pattern of individual control extends into larger portfolio sizes. In the 6-10 property tier, individuals own 83.3% of the properties. Surprisingly, even in the 51-100 property tier, the 2 properties recorded are both owned by individuals, not companies.

The data illustrates a clear market structure: individuals build small-to-medium portfolios, while corporate ownership is a niche strategy concentrated in a single mid-size tier. The total corporate footprint remains small, with companies owning just 127 properties across all tiers.

Analyzing pricing differences between individuals and companies is not possible due to the lack of transactional data. However, the ownership distribution suggests that nearly all market activity, when it occurs, is driven by individual investors' financial decisions.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Two zip codes, 29571 and 29574, hold 83.7% of all investor properties in the county.
Detailed Findings

Investor activity in Marion County is highly concentrated geographically. Just two zip codes, SC-Marion-29571 and SC-Marion-29574, contain the vast majority of investor-owned properties, holding 947 and 816 properties, respectively. Together, they account for 1,763 properties, or 83.7% of the county's total investor portfolio.

The areas with the highest investor ownership *rate* are different from those with the highest raw count. Zip code SC-Marion-29519 stands out with a 100.0% investor ownership rate, meaning every SFR property there is investor-owned. Similarly, SC-Marion-29592 has a high penetration rate of 53.7%.

This contrast between volume and percentage reveals different market dynamics. The high-volume zip codes (29571 and 29574) are likely larger residential areas with significant rental demand, while the high-percentage zip codes may be smaller, more niche areas that are almost exclusively rental markets.

The top five zip codes by investor-owned count are 29571 (947 properties), 29574 (816), 29546 (154), 29581 (114), and 29565 (41). These five areas alone represent over 98% of all investor holdings in the county.

Understanding this geographic distribution is key for anyone analyzing the local market. Investment is not spread evenly; it is focused in a few key corridors, which likely correspond to specific economic drivers or housing stock characteristics in those areas.

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 for landlords in Marion County.
Detailed Findings

A comprehensive analysis of historical transaction patterns for landlords in Marion County is not feasible due to a complete lack of available data. There are no records of buy or sell transactions for landlords across any of the observed timeframes (All Time, 2025, 2024, etc.).

This data gap means that crucial market indicators cannot be calculated. It is impossible to determine whether landlords have historically been net buyers or net sellers, as a buy/sell ratio cannot be established.

Furthermore, the degree of market liquidity through inter-landlord trading remains unknown. Without transaction records, we cannot see what percentage of purchases come from other landlords, a key metric for understanding the internal dynamics of an investor market.

Similarly, no insights can be drawn about pricing behavior over time. Comparing average buy prices to average sell prices, which can suggest potential profit margins or market timing, is not possible.

The lack of historical transaction data for all landlords naturally means there is also no data for the institutional (1000+) tier. This reinforces the finding that the market is characterized by long-term holds and low transactional velocity, rather than frequent trading.

Current Quarter Transactions

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

Key Insight
Landlords conducted zero transactions in Marion County during Q4 2025, representing 0.0% of market share.
Detailed Findings

The fourth quarter of 2025 was marked by a total absence of transactional activity from real estate investors in Marion County. Landlords were involved in zero transactions, accounting for 0.0% of all SFR sales during the period.

This inactivity was consistent across all investor portfolio sizes. Mom-and-pop landlords (Tiers 01-04), who form the backbone of the market's ownership, did not record a single transaction. Likewise, no activity was seen from any mid-size or institutional tiers.

As a result, an analysis of purchase prices by tier is impossible. There is no data to compare what smaller landlords might have paid versus larger ones, as no purchases were made by any group.

The data also shows that no inter-landlord trading took place. The metric for properties 'Bought From Landlords' is zero for all tiers, indicating that the market for investors selling to other investors was also frozen during this period.

This lack of Q4 activity provides a clear snapshot of a market in a holding pattern. Investors were not selling properties to each other or acquiring new ones from the open market, pointing to a period of stability with very low liquidity.

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Executive Summary

Marion County, SC: A Hyper-Local Investor Market Defined by Small Landlords and Zero Recent Activity
Holdings
Investors own 2,105 SFR properties in Marion County, representing 28.1% of the total market. The portfolio is overwhelmingly held by individual investors (2,018 properties, 95.9%) compared to companies (127 properties, 6.0%).
Pricing
No recent transaction data is available for Marion County, making a pricing comparison between landlords and traditional homeowners impossible and indicating a very low-velocity market.
Activity
Investor purchasing activity was non-existent in Q4 2025, with landlords acquiring 0 properties, representing 0.0% of all sales. No new single-property landlords entered the market during the quarter.
Market Share
The market is completely dominated by small investors, with mom-and-pop landlords (1-10 properties) controlling 98.6% of all investor-owned housing. Institutional investors (1000+) have no presence, owning 0.0% of the portfolio.
Ownership Type
Individual investors are the primary owners across nearly all portfolio sizes, with companies only achieving a narrow majority (51.0%) in the small 21-50 property tier.
Transactions
No landlord transactions were recorded in Q4 2025, resulting in an undefined buy/sell ratio and indicating a complete pause in both acquisitions and dispositions by investors.
Market Narrative

Marion County, South Carolina, presents a unique real estate investment landscape characterized by deep local ownership and extremely low transactional velocity. Investors hold a significant 2,105 single-family properties, 28.1% of the county's total SFR market. However, this market is not driven by corporations or large funds. Instead, it is the domain of small, individual investors, who own a commanding 95.9% of the portfolio. This is further concentrated among mom-and-pop landlords (1-10 properties), who control a staggering 98.6% of all investor-held homes, while institutional-scale investors have zero presence.

The behavior of these investors points to a stable, buy-and-hold strategy. A remarkable 100% of the investor-owned properties are held free and clear with no financing, suggesting long-term ownership or all-cash acquisitions. This financial conservatism is matched by a complete halt in recent market activity. During Q4 2025, landlords made zero purchases and were involved in zero transactions, indicating a market that is currently in a holding pattern. This lack of sales activity makes it impossible to analyze current pricing trends or compare investor purchasing power against traditional homeowners.

The key takeaway from Marion County is that it operates as a closed-loop, hyper-local market, starkly different from more dynamic, institutionally-influenced regions. Ownership is concentrated in the hands of thousands of small landlords, and properties are rarely traded. For those looking to enter this market, opportunities are not found in broad market data but likely through deep local networks, as the data reflects a community of long-term holders rather than active traders. The absence of recent activity signals stability but also a potential barrier to entry for new investors accustomed to higher liquidity.

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 02:11 AM
Data Period Q1 2026
Geography Level County
Geography Marion (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 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.

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

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Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Marion (SC) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-sc-marion/. Licensed under CC BY-NC-ND 4.0.