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

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

Market Overview

Total SFR Properties in Darlington (SC)
18,212
Total Investors in Darlington (SC)
4,021
Investor Owned SFR in Darlington (SC)
4,009(22.0%)
Individual Landlords
Landlords
3,523
SFR Owned
3,246
Corporate Landlords
Landlords
498
SFR Owned
786
Understanding Property Counts

Distinct Count Methodology: The total 4,009 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 Darlington County with 93.3% Ownership While Securing 40% Discounts
Investors own 4,009 SFR properties in Darlington County, SC, representing 22.0% of the market. This ownership is overwhelmingly controlled by mom-and-pop landlords (93.3%), with individuals holding 81.0% of all investor properties. In Q1, landlords purchased homes at a 40.4% discount compared to traditional homeowners and remain strong net buyers, while institutional investors are divesting from the area.
Landlord Owned Current Holdings
Investors own 4,009 SFRs (22.0% of the market), with individuals holding 81.0% of the portfolio.
The vast majority of investor-owned properties are held in cash (3,529 properties, or 88.0% of the portfolio), dwarfing the 480 properties that are financed. Of the total portfolio, 3,916 properties (97.7%) are identified as rented, underscoring a strong focus on rental income generation.
Landlord vs Traditional Homeowners
Landlords secured a massive 40.4% discount in Q1, paying $102,996 less than homeowners on average.
This substantial price gap is a consistent trend, with landlords achieving discounts as high as 68.1% in recent quarters. The average landlord acquisition price in Q1 was $152,166, a notable increase from the pandemic-era (2020-2023) average of $103,732.
Current Quarter Purchases
Landlords captured 27.1% of all home purchases in Q4, acquiring 42 of the 155 properties sold.
Mom-and-pop landlords were responsible for nearly all this activity, accounting for 41 properties, or 93.2% of investor purchases. In contrast, institutional investors made zero acquisitions, showing a complete absence from the market's buying side.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 93.3% of all investor-owned SFRs.
In stark contrast, institutional investors with over 1,000 properties own just 0.1% of the investor-held housing stock, a total of only 4 properties. Single-property landlords alone account for 68.2% of all investor-owned homes.
Ownership by Tier & Type
Companies become the majority owners at the 6-10 property tier, though individuals dominate smaller portfolios.
In portfolios of 1-5 properties, individuals represent over 70% of owners. The crossover occurs in the 6-10 property tier, where companies own 54.0% of the properties. In the 21-50 property tier, company ownership solidifies to 60.7%.
Geographic Distribution
Investor activity is highly concentrated, with two zip codes (29550 and 29532) holding 78.3% of all investor-owned properties.
The highest investor ownership rate is in zip code 29079, at 100.0%, although this is likely a small area. More broadly, zip codes like 29593 (31.0%) and 29069 (30.0%) show significant investor penetration, well above the county average of 22.0%.
Historical Transactions
Landlords in Darlington County are aggressive net buyers, acquiring 51 properties while selling only 12 in Q1 2026.
This trend of accumulation is consistent, with 201 buys versus 82 sells in 2025. In contrast, institutional investors are net sellers, having divested more properties than they acquired in 2025 (4 buys vs. 7 sells).
Current Quarter Transactions
Investors were involved in 26.3% of all Q1 transactions, with mom-and-pop landlords dominating the activity.
Zero percent of investor purchases in Q1 were from other landlords, indicating that all acquisitions added to the total rental housing stock. Purchase prices varied wildly by tier, with the 6-10 property tier paying the highest average price ($260,273).

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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 4,009 SFRs (22.0% of the market), with individuals holding 81.0% of the portfolio.
Detailed Findings

In Darlington County, investors hold a significant 22.0% share of the single-family housing market, with a total of 4,009 investor-owned properties out of 18,212 total SFRs. This concentration highlights the importance of real estate investing activity in the local market.

Individual investors are the primary force, owning 3,246 properties, which constitutes 81.0% of the entire investor portfolio. In contrast, company-owned properties number just 786 (19.6%), indicating that the market is driven by smaller, independent operators rather than large corporations.

A striking financial characteristic of this market is the preference for cash ownership. An overwhelming 3,529 properties (88.0%) are owned outright without financing, compared to only 480 financed properties. This suggests a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The portfolio is almost entirely geared towards rental income, with 3,916 properties (97.7%) classified as rented or non-owner-occupied. This near-total focus on rental units confirms the primary strategy of investors in the region is to supply housing for tenants.

The ownership structure by entity count reinforces the dominance of individual landlords. There are 3,523 individual landlords compared to 498 company landlords, meaning individuals represent 87.6% of all investor entities in the county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a massive 40.4% discount in Q1, paying $102,996 less than homeowners on average.
Detailed Findings

Investors in Darlington County demonstrate a consistent ability to acquire properties at a significant discount. In the first quarter of 2026, landlords paid an average of $152,166, which is 40.4% less than the $255,162 paid by traditional homeowners, creating an average price gap of $102,996 per property.

This pricing advantage is not a recent phenomenon. The trend of deep discounts has been even more pronounced in previous quarters, reaching a staggering 68.1% discount in Q2 2025 ($82,967 vs. $260,132) and 61.9% in Q3 2025 ($112,038 vs. $294,318). This pattern suggests landlords are targeting undervalued or distressed assets not typically pursued by retail buyers.

Despite the discounts, acquisition prices are on an upward trend, indicating market appreciation. The Q1 2026 average price of $152,166 represents a 46.7% increase from the 2020-2023 average of $103,732, signaling a post-pandemic heating of the investment market.

Comparing year-over-year activity, the average acquisition price in 2025 ($114,515) was lower than in 2024 ($138,365), but the start of 2026 shows a sharp rebound. This volatility highlights a dynamic market where timing and deal-sourcing are critical for investors.

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 27.1% of all home purchases in Q4, acquiring 42 of the 155 properties sold.
Detailed Findings

Investor activity accounted for a significant portion of the Darlington County housing market in Q4, with landlords purchasing 42 of the 155 total SFRs sold, a market share of 27.1%. This robust acquisition rate demonstrates continued demand from the investor segment.

The purchasing activity was almost entirely driven by small-scale, mom-and-pop landlords. Tiers 01-04 (1-10 properties) collectively bought 41 homes, representing 93.2% of all investor acquisitions. Institutional investors (1,000+ properties) were completely inactive, purchasing zero properties during the quarter.

New investors are actively entering the market. The single-property tier saw 29 distinct entities acquire 23 properties, making up 52.3% of all landlord purchases. This signals a healthy influx of first-time landlords and small-scale investment.

Mid-size investors also contributed, though on a smaller scale. The 6-10 property tier was surprisingly active, with 4 entities buying 11 properties (25.0% of the total), while small-medium and medium-large tiers collectively added 3 properties to their portfolios.

The data clearly shows that the growth in investor ownership in Darlington County is not fueled by large corporations but by a broad base of local and small-scale investors expanding their portfolios one or two properties at a time.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 93.3% of all investor-owned SFRs.
Detailed Findings

The ownership structure of investment properties in Darlington County is overwhelmingly dominated by small landlords. Mom-and-pop investors (owning 1-10 properties) control a massive 93.3% of the entire investor-owned SFR portfolio. This concentration debunks any narrative of large-scale corporate control in the local rental market.

Single-property landlords form the bedrock of the market, owning 2,813 properties, which translates to 68.2% of all investor-held homes. This group's substantial share highlights the accessibility of property search and investment for individuals in the region.

Mid-size landlords (11-1,000 properties) hold a combined 6.6% of the portfolio, representing a small but established segment of the market. These investors, spread across four tiers, collectively own 273 properties.

At the highest end of the market, institutional investors (1,000+ properties) have a negligible presence. Their portfolio consists of just 4 properties, accounting for a mere 0.1% of investor-owned housing. This minimal footprint indicates that large-scale capital has not targeted Darlington County.

The distribution is heavily skewed towards the smallest operators. The two-property tier holds 8.3% (343 properties) and the 3-5 property tier holds 12.9% (531 properties), further cementing the reality that the local rental market is in the hands of small, independent investors.

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 owners at the 6-10 property tier, though individuals dominate smaller portfolios.
Detailed Findings

While individual investors dominate the Darlington County market overall, a clear pattern emerges as portfolio sizes increase. Individuals overwhelmingly control smaller portfolios, owning 89.3% of single-property holdings and 75.5% of two-property portfolios.

The transition to corporate ownership begins in the small landlord tiers. In the 3-5 property tier, individuals still hold a strong majority at 70.3%. However, a tipping point is reached in the 6-10 property tier, where companies take a 54.0% majority share for the first time.

This trend toward corporate structure solidifies in larger portfolios. In the small-medium tier of 21-50 properties, company ownership increases to 60.7%, indicating that as investors scale, they are more likely to adopt a formal business structure for their holdings.

Even in the company-dominated tiers, individual ownership remains significant. For instance, in the 11-20 property tier, individuals still own 70 properties (63.6%), demonstrating that personal ownership is a viable strategy even for portfolios of considerable size.

This data reveals a natural progression in investor strategy: individuals start small, and as their portfolios grow beyond five properties, incorporation becomes the more common and preferred method of ownership and management.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with two zip codes (29550 and 29532) holding 78.3% of all investor-owned properties.
Detailed Findings

Geographic concentration is a defining feature of real estate investment in Darlington County. Just two zip codes, SC-Darlington-29550 (1,843 properties) and SC-Darlington-29532 (1,295 properties), account for a combined 3,138 properties, or 78.3% of the entire investor portfolio.

Several areas exhibit extremely high rates of investor ownership. Zip code 29079 stands out with a 100.0% investor ownership rate. Other hotspots include 29593 and 29069, with rates of 31.0% and 30.0% respectively, far exceeding the county-wide average of 22.0%.

The top regions by property count also show high penetration rates, indicating that investors are targeting areas with larger housing stocks. The top zip code by count, 29550, has a 21.0% investor ownership rate, while the second, 29532, has a 23.2% rate.

This intense focus on specific zip codes suggests that investors are targeting neighborhoods with specific characteristics, such as higher rental demand, lower acquisition costs, or greater potential for appreciation. Understanding these micro-markets is key to analyzing investment strategy in the county.

Beyond the top two, activity is more dispersed. The remaining top five zip codes, 29069, 29540, and 29501, have investor-owned counts of 313, 223, and 164, respectively, showing a sharp drop-off in concentration outside the primary investment zones.

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 in Darlington County are aggressive net buyers, acquiring 51 properties while selling only 12 in Q1 2026.
Detailed Findings

The investor market in Darlington County is characterized by strong and consistent accumulation. In the first quarter of 2026, landlords were aggressive net buyers, with a buy-to-sell ratio of 4.25-to-1 (51 properties purchased vs. 12 sold). This activity signals strong confidence in the local market.

This net-buying behavior is a long-term trend. Throughout 2025, investors purchased 201 properties while selling only 82, resulting in a net gain of 119 properties. The activity in 2024 was similar, with 211 buys and 76 sells, for a net gain of 135 properties.

A significant divergence in strategy appears between the overall market and institutional investors. While the market as a whole is buying, the 1,000+ property tier has been divesting. In 2025, these large investors were net sellers, with 4 purchases and 7 sales. This retreat contrasts sharply with the acquisitive behavior of smaller landlords.

This dynamic suggests that the growth in Darlington County's rental market is being driven from the bottom up. Small and mid-size landlords are actively expanding their portfolios, while the largest players are reducing their limited exposure.

Transaction volumes have remained relatively stable over the past two years, with 287 total transactions in 2024 and 283 in 2025, indicating a steady, liquid market for investment properties.

Current Quarter Transactions

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

Key Insight
Investors were involved in 26.3% of all Q1 transactions, with mom-and-pop landlords dominating the activity.
Detailed Findings

In the first quarter, landlords participated in 51 of the 194 total SFR transactions, capturing a 26.3% share of all market activity. This level of involvement underscores their role as a consistent source of demand in Darlington County.

The transaction activity was driven exclusively by mom-and-pop and mid-size investors. The 1-10 property tiers accounted for 48 of the 51 transactions. Institutional investors in the 1,000+ tier recorded zero transactions, reinforcing their inactivity in the market.

A notable finding from Q1 is that 0% of landlord purchases were from other landlords. This means every single property acquired by an investor was sourced from a homeowner or other non-investor, directly increasing the size of the rental housing pool in the county.

Purchase prices in Q1 did not correlate with investor size. The 6-10 property tier paid the highest average price at $260,273, while the 3-5 property tier paid the lowest at just $58,928. New, single-property landlords paid a more moderate average of $129,979.

This pricing disparity suggests that different investor tiers are targeting entirely different types of properties. Smaller investors may be focused on lower-cost, value-add opportunities, while some mid-size buyers are competing for higher-priced, turn-key assets.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Command Darlington's Real Estate Market with 93.3% Ownership and Aggressive Buying
Holdings
Landlords own 4,009 single-family properties in Darlington County, SC, representing 22.0% of the market's total SFR stock. The portfolio is overwhelmingly held by individual investors, who own 3,246 properties (81.0%), compared to 786 (19.6%) owned by companies.
Pricing
Investors in Q1 paid an average of 40.4% less than traditional homeowners, securing a significant discount of $102,996 per property ($152,166 vs. $255,162). This deep discount demonstrates a consistent strategy of acquiring undervalued assets.
Activity
In Q4, landlords were responsible for 27.1% of all home purchases (42 properties), with 93.2% of that volume coming from mom-and-pop investors. The market welcomed 29 new single-property landlords, signaling strong grassroots-level growth.
Market Share
Small landlords (1-10 properties) dominate the investment landscape, controlling 93.3% of all investor-owned housing. In stark contrast, institutional investors (1,000+ properties) have a negligible footprint, owning just 0.1% of the portfolio.
Ownership Type
Individual investors form the backbone of smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and larger. This crossover point signals a shift toward formal business structures as investors scale their operations.
Transactions
Landlords are strong net buyers with a 4.25-to-1 buy/sell ratio in Q1 (51 buys vs. 12 sells), consistently expanding the rental supply. Conversely, institutional investors have recently become net sellers, divesting from the market in 2025.
Market Narrative

The investor landscape in Darlington County, SC, is defined by the overwhelming dominance of small, independent operators. Investors control a substantial 22.0% of the single-family housing market, owning 4,009 properties. However, this market is not the domain of Wall Street; it is firmly in the hands of mom-and-pop landlords (1-10 properties), who control 93.3% of all investor-owned homes. Individuals make up the vast majority of these owners, holding 81.0% of the portfolio, while institutional giants have a nearly non-existent share of just 0.1%.

Investor behavior is characterized by savvy acquisition strategies and consistent growth. In the most recent quarter, landlords purchased 27.1% of all homes sold, securing them at an average discount of 40.4% compared to what traditional homeowners paid. This demonstrates a clear focus on acquiring properties with built-in equity or at a lower cost basis. The market is in a phase of accumulation, with landlords acting as strong net buyers (a 4.25-to-1 buy/sell ratio in Q1), while the few institutional players in the area are actively selling off their holdings.

The key takeaway for the Darlington County housing market is that its rental stock is supplied and managed by a broad base of local, small-scale entrepreneurs, not distant corporations. This grassroots structure suggests a market that is more community-integrated but also highly fragmented. The consistent influx of new single-property landlords, coupled with the aggressive purchasing from existing small investors, points toward continued growth in the rental sector, driven by individuals expanding their personal portfolios.

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 02:05 AM
Data Period Q1 2026
Geography Level County
Geography Darlington (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

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.

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