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

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

Market Overview

Total SFR Properties in Florence (SC)
39,846
Total Investors in Florence (SC)
8,139
Investor Owned SFR in Florence (SC)
8,974(22.5%)
Individual Landlords
Landlords
7,081
SFR Owned
6,379
Corporate Landlords
Landlords
1,058
SFR Owned
2,647
Understanding Property Counts

Distinct Count Methodology: The total 8,974 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Dominate Florence with 85.9% Ownership as Institutions Retreat
Investors own 22.5% of SFR properties in Florence County, SC, with small, individual landlords controlling 85.9% of that portfolio. In Q1, landlords bought properties at a 54.0% discount compared to homeowners, and while the overall market remains in a strong net-buying position, institutional investors have become net sellers.
Landlord Owned Current Holdings
Investors own 8,974 SFRs (22.5% of market), with individuals holding 71.1%.
The majority of properties (7,193) are owned outright in cash, compared to just 1,781 financed properties. Individuals constitute the vast majority of landlords, with 7,081 individual investors versus 1,058 companies.
Landlord vs Traditional Homeowners
Landlords secured a staggering 54.0% discount in Q1, paying $159,372 less than homeowners.
This price gap has widened dramatically from 47.8% in Q3 2025 and just 14.8% in Q1 2025. The average landlord acquisition price in Q1 was $135,873, compared to the $295,245 paid by traditional homeowners.
Current Quarter Purchases
Landlords captured 30.4% of all Q4 home sales, purchasing 95 properties.
Mom-and-pop investors drove this activity, accounting for 70.5% of all landlord purchases. In contrast, institutional investors made up only 2.1% of acquisitions, acquiring just 2 properties.
Ownership by Tier
Mom-and-pop landlords control 85.9% of Florence's investor-owned SFR housing.
Institutional investors with over 1,000 properties have a negligible footprint, owning just 22 properties, or 0.2% of the market. Single-property landlords are the largest group, holding 5,750 properties (62.3%).
Ownership by Tier & Type
Companies become the majority owner in portfolios of 6 or more properties.
While individuals dominate smaller portfolios, holding 88.6% of single-property assets, companies own 61.4% of properties in the 6-10 tier and 82.1% in the 11-20 tier.
Geographic Distribution
Zip code 29501 is the epicenter of investor ownership with 3,021 properties.
However, the highest market saturation is in zip code 29114, where investors own 42.8% of all SFRs. The top 5 zip codes by count contain 7,122 properties, representing 79.4% of all investor-owned homes in the county.
Historical Transactions
Landlords remain aggressive net buyers while institutional investors are net sellers.
In Q1 2026, the overall landlord market acquired 103 properties while selling only 27. In contrast, institutional investors sold 4 properties and acquired only 2 during the same period.
Current Quarter Transactions
Landlords were involved in 26.4% of all Q1 property transactions.
A significant price difference emerged between tiers, as institutional investors paid 37.8% more per property than new landlords ($208,680 vs $151,395), indicating different acquisition targets.

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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 8,974 SFRs (22.5% of market), with individuals holding 71.1%.
Detailed Findings

In Florence County, SC, investors own 8,974 single-family residential properties, accounting for 22.5% of the total 39,846 SFRs in the market. This signifies a substantial investor presence in the local housing landscape.

Ownership is heavily skewed towards individuals rather than corporations. Individual investors own 6,379 properties, or 71.1% of the investor-owned portfolio, while companies own 2,647 properties (29.5%). This pattern extends to the entity level, where there are 7,081 individual landlords compared to just 1,058 company landlords.

The market shows a strong preference for all-cash holdings, which suggests a lower sensitivity to interest rate fluctuations. There are 7,193 cash-owned properties, over four times the 1,781 properties that are financed.

The portfolio is overwhelmingly focused on rental activity, with 8,784 of the 8,974 properties identified as rented. This demonstrates that the primary strategy for investors in this market is generating rental income.

This composition paints a picture of a market dominated by local, individual investors who often pay with cash, rather than one controlled by large, heavily-leveraged corporations. This structure can contribute to market stability.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a staggering 54.0% discount in Q1, paying $159,372 less than homeowners.
Detailed Findings

A massive pricing advantage for investors emerged in the first quarter of 2026. Landlords acquired properties for an average of $135,873, which is 54.0% less than the $295,245 paid by traditional homeowners. This equates to a raw discount of $159,372 per property.

This discount represents a significant and widening trend. The 54.0% gap is substantially larger than the 47.8% discount observed in Q3 2025 and the 51.3% discount in Q2 2025. It marks a dramatic increase from early 2025, when the discount was a much smaller 14.8%.

The widening gap suggests that investors are increasingly targeting properties that fall outside the interest of typical homebuyers. This could include distressed assets, homes requiring significant renovation, or off-market deals not available to the general public.

While overall home prices for traditional buyers have remained relatively stable around the $300,000 mark, landlord purchase prices have fluctuated more, dropping to $135,873 in Q1 2026. This indicates investors are capitalizing on specific market segments for value.

This trend highlights a bifurcated market where professional buyers operate with different strategies and access different inventory, allowing them to acquire assets at a profoundly lower cost basis than the average homebuyer.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords captured 30.4% of all Q4 home sales, purchasing 95 properties.
Detailed Findings

Investor activity accounted for a significant portion of the Florence County housing market in the last quarter, with landlords purchasing 95 of the 312 total SFRs sold, a market share of 30.4%.

The acquisition activity was overwhelmingly led by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 67 of the 95 purchases, representing 70.5% of all investor acquisitions.

New entrants are a key feature of the market. The single-property tier saw the most activity, with 44 distinct entities acquiring 38 properties. This influx of new landlords signals a low barrier to entry for real estate investing in the area.

In stark contrast, institutional investors (1000+ properties) had a minimal impact, purchasing only 2 properties, which accounted for a mere 2.1% of investor activity. This reinforces the narrative of a market dominated by local, small-scale players.

Mid-size landlords also played a role, but their activity was fragmented across various tiers, with no single mid-size tier accounting for more than 9.5% of the quarterly purchases.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 85.9% of Florence's investor-owned SFR housing.
Detailed Findings

The investor landscape in Florence County is definitively controlled by small-scale landlords. Investors owning 1-10 properties, often called 'mom-and-pops', command a staggering 85.9% of all investor-owned single-family homes.

This concentration at the smaller end of the market directly counters the narrative of corporate landlord dominance. Institutional investors (Tier 09, 1000+ properties) own just 22 properties, representing a mere 0.2% of the investor portfolio. Their presence is statistically insignificant compared to smaller players.

The most significant segment is the single-property landlord (Tier 01). This group alone owns 5,750 properties, which accounts for 62.3% of all investor-owned housing. This highlights that first-time and small-scale investment is the primary driver of the rental market.

Mid-size landlords (11-1000 properties) occupy a relatively small niche. Tiers 05 through 08 combined own 1,282 properties, or just 13.9% of the total investor portfolio. The market structure clearly shows a long tail of small investors rather than a consolidation among larger firms.

This distribution suggests a highly fragmented and localized rental market, where ownership is dispersed among thousands of individual community members rather than a few large corporations.

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 become the majority owner in portfolios of 6 or more properties.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across portfolio sizes: individuals dominate small portfolios, but companies take over as portfolios scale.

For investors with a single property, individuals represent the vast majority, owning 5,123 homes (88.6%) compared to 656 owned by companies (11.4%). This individual dominance continues through the 3-5 property tier, though the company share increases to 38.4%.

The crossover point occurs in the 6-10 property tier. Here, company ownership surpasses individual ownership for the first time, with companies holding 297 properties (61.4%) versus 187 for individuals (38.6%). This suggests that as investors grow beyond five properties, they tend to incorporate for liability or financial reasons.

This trend accelerates in larger tiers. In the 11-20 property tier, companies own a commanding 293 properties (82.1%), showing a decisive shift towards a corporate structure for mid-size portfolios.

This data illustrates the typical lifecycle of a real estate investor in Florence County. Most start as individuals, but professionalization and incorporation become standard practice for those who scale their operations into larger portfolios.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Zip code 29501 is the epicenter of investor ownership with 3,021 properties.
Detailed Findings

Investor activity in Florence County is highly concentrated geographically. The top five zip codes by property count hold 7,122 investor-owned SFRs, which is 79.4% of the county's entire investor portfolio of 8,974 properties.

The zip code 29501 is the clear leader in volume, with 3,021 investor properties. It is followed by 29506 (1,363 properties) and 29505 (1,223 properties), demonstrating a significant clustering of investment activity.

However, the areas with the highest volume are not necessarily the most saturated. The highest investor ownership *rate* is found in zip code 29114, where 42.8% of all SFRs are investor-owned. This is significantly higher than the 20.5% rate in the volume leader, 29501.

Other areas with high investor penetration include 29555 (36.0%), 29560 (32.2%), and 29583 (30.3%). This distinction between high-volume and high-penetration areas reveals different market dynamics and potential strategies for investors looking for either scale or density.

This geographic analysis shows that while investment is widespread, the bulk of activity and ownership is focused within a handful of key zip codes, each with its own unique market character.

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
Chart Section11 Yoy Institutional
Key Insight
Landlords remain aggressive net buyers while institutional investors are net sellers.
Detailed Findings

A significant divergence in strategy is apparent between the broad landlord market and large institutional players. Overall, investors in Florence County are consistently and aggressively acquiring more properties than they sell.

In Q1 2026, landlords were strong net buyers, purchasing 103 SFRs while only selling 27, resulting in a net gain of 76 properties. This continues a long-term trend, with 2025 showing 461 buys versus 140 sells, and 2024 showing 519 buys versus 200 sells.

However, institutional investors (1000+ portfolio tier) are moving in the opposite direction. In the most recent quarter, they were net sellers, disposing of 4 properties while only buying 2. This represents a strategic shift from 2025 when they were net buyers for the year (14 buys vs 5 sells).

This split indicates that while smaller and mid-size investors continue to see opportunity and are expanding their portfolios in Florence County, the largest national players are beginning to divest from the market.

The data suggests that the market's growth is being fueled by local and regional capital, while institutional capital appears to be retreating, at least in the short term. The full collection of Investor Pulse reports can provide additional context on national trends.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 26.4% of all Q1 property transactions.
Detailed Findings

In the first quarter of 2026, landlords participated in 103 of the 390 total SFR transactions, capturing a 26.4% share of all market activity in Florence County.

Transaction volume was heavily concentrated among smaller investors. Mom-and-pop landlords (Tiers 01-04) accounted for 75 of the 103 investor transactions (72.8%), while institutional investors (Tier 09) were involved in only 2 transactions (1.9%).

A key finding is the pricing disparity between investor tiers. New, single-property landlords paid an average of $151,395 per home. In contrast, institutional buyers paid an average of $208,680, a 37.8% premium. This suggests larger investors are targeting higher-value, turn-key, or strategically located assets compared to the value-oriented approach of smaller buyers.

The data also reveals that most acquisitions come from the open market, not from other investors. For the most active group, single-property buyers, only 13.6% of their purchases (6 of 44 transactions) were from other landlords. This indicates a healthy flow of new inventory into the rental market from traditional homeowners.

The lowest acquisition prices were seen in the mid-size tiers, with the 51-100 property tier averaging just $41,000 per purchase, suggesting a strategy focused on acquiring portfolios of lower-value properties.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Florence with 85.9% Ownership as Institutions Retreat as Net Sellers
Holdings
Investors own 8,974 SFR properties in Florence County, SC (22.5% of the market), with individual investors holding 6,379 (71.1%) and companies owning 2,647 (29.5%).
Pricing
In Q1, landlords secured properties for 54.0% less than homeowners, an average discount of $159,372 per property ($135,873 vs $295,245).
Activity
Landlords purchased 95 properties in the last quarter (30.4% of all sales), with 44 new single-property landlords entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control 85.9% of investor housing, while institutional investors (1000+) own a negligible 0.2%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6 or more properties.
Transactions
Landlords remain strong net buyers (103 buys vs 27 sells in Q1), but institutional investors have become net sellers (2 buys vs 4 sells).
Market Narrative

The single-family rental market in Florence County, SC is overwhelmingly shaped by local, small-scale investors, not large corporations. Investors own 8,974 properties, representing 22.5% of the total SFR market. Ownership is dominated by individuals, who hold 71.1% of the portfolio. The market structure is highly fragmented, with 'mom-and-pop' landlords (1-10 properties) controlling a commanding 85.9% of all investor-owned homes, while institutional firms (1000+ properties) have a negligible 0.2% share.

Investor behavior in the most recent quarter reveals strategic and aggressive acquisition patterns, particularly among smaller players. Landlords purchased 30.4% of all homes sold, securing them at a massive 54.0% discount compared to traditional homeowners, a gap that has widened significantly over the past year. This activity is fueling market growth, with 44 new single-property landlords entering in the last quarter alone. While the broader market remains in a strong net-buying position (103 buys vs. 27 sells), a key divergence has appeared: institutional investors have reversed course to become net sellers, signaling a retreat by the largest players.

The key takeaway for the Florence County housing market is one of stability and local control. The market's health is not dependent on institutional capital; instead, it is driven by thousands of individual investors making cash-heavy purchases at significant discounts. The retreat of large firms amidst continued buying from smaller landlords suggests that local knowledge and value-oriented strategies are succeeding. This dynamic creates a resilient rental market less susceptible to national corporate strategy shifts and more reflective of the local economic landscape. This type of detailed analysis is possible thanks to comprehensive property data API solutions.

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 02:07 AM
Data Period Q1 2026
Geography Level County
Geography Florence (SC)
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Chart Section2 Coverage
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
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 Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

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