Columbus (NC) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Columbus (NC)
14,002
Total Investors in Columbus (NC)
4,905
Investor Owned SFR in Columbus (NC)
4,117(29.4%)
Individual Landlords
Landlords
4,624
SFR Owned
3,773
Corporate Landlords
Landlords
281
SFR Owned
370
Understanding Property Counts

Distinct Count Methodology: The total 4,117 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

Individual Investors Dominate Columbus County, Owning 91.6% of Rental Homes and Acquiring Properties at a 24% Discount
Investors own 4,117 SFR properties in Columbus County, representing 29.4% of the total market. This portfolio is overwhelmingly controlled by mom-and-pop landlords (97.7%), with institutional investors holding a minimal 0.1%. In Q4 2025, landlords were highly active net buyers, acquiring 34.0% of all homes sold while paying an average of 24.2% less than traditional homeowners.
Landlord Owned Current Holdings
Investors own 4,117 SFRs in Columbus County, with individual landlords holding 91.6% of the portfolio.
The vast majority of investor-owned properties are held in cash (3,686) versus financed (431), a ratio of nearly 9 to 1. The portfolio is highly focused on rentals, with 4,060 of the 4,117 properties classified as non-owner-occupied.
Landlord vs Traditional Homeowners
In Q4, landlords purchased properties for 24.2% less than traditional homeowners, an average discount of $64,828.
The landlord purchasing discount has been volatile, narrowing from a high of 36.7% ($90,319) in Q3 2025 to 24.2% ($64,828) in Q4 2025. This suggests fluctuating market conditions or deal availability. Prices have appreciated significantly since the 2020-2023 period, when the average landlord acquisition price was $165,885.
Current Quarter Purchases
Landlords were a major market force in Q4, purchasing 34.0% of all single-family properties sold.
Mom-and-pop landlords (1-10 properties) completely dominated investor activity, accounting for 92.1% of all landlord purchases. In contrast, institutional investors (1000+ properties) made up just 5.3% of acquisitions. The market also saw 35 new single-property landlords make their first purchase.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 97.7% of all investor-owned SFRs.
The market structure is overwhelmingly dominated by the smallest investors, with those owning just a single property (Tier 01) controlling 81.7% of all investor-held housing. In stark contrast, institutional investors with over 1,000 properties (Tier 09) own a mere 0.1% of the portfolio.
Ownership by Tier & Type
Individual investors are the backbone of every tier, but companies gain notable share in portfolios of 6-10 properties.
Individuals own over 80% of properties in the 1-5 property tiers, but their share drops to 58.2% in the 6-10 property tier, where companies hold a significant 41.8% stake. This marks the crossover point where corporate ownership structure becomes common for larger portfolios.
Geographic Distribution
Investor ownership is highly concentrated, with zip code 28472 alone containing 1,187 investor-owned properties.
While 28472 leads by sheer volume, other zip codes show extreme investor saturation. Zip code 28424 has the highest penetration rate, with 87.2% of its SFRs owned by investors. Meanwhile, zip code 28450 is a hotspot for both volume (431 properties) and rate (39.5%).
Historical Transactions
Investors are aggressive net buyers, acquiring 4.5 properties for every 1 they sold in Q4 2025.
This trend of accumulation is consistent over time, with a buy-to-sell ratio of 4.1 for the full year 2025 (182 buys vs 44 sells). Even institutional investors are in accumulation mode, though on a much smaller scale, purchasing 3 properties and selling 1 in Q4.
Current Quarter Transactions
Investors were involved in 33.5% of all Q4 transactions, with institutions paying 55% less than new landlords.
A massive price gap exists between investor tiers. Institutional buyers paid an average of just $86,492 per property, while new single-property landlords paid $192,271. Institutions also heavily leverage inter-landlord trades, sourcing 66.7% of their purchases from other landlords.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 4,117 SFRs in Columbus County, with individual landlords holding 91.6% of the portfolio.
Detailed Findings

Investors hold a significant 29.4% share of the single-family residential market in Columbus County, with a total portfolio of 4,117 properties.

Individual 'mom-and-pop' landlords are the definitive market force, owning 3,773 properties, which accounts for 91.6% of the entire investor-owned SFR stock. Company-owned properties represent a much smaller segment at 370 properties (9.0%).

This individual dominance is also reflected in the entity count, where 4,624 individual landlords vastly outnumber the 281 company landlords, highlighting a market characterized by many small-scale investors rather than a few large corporations.

A striking 89.5% of investor-owned properties (3,686) are owned outright with cash, compared to just 10.5% (431) that are financed. This indicates a low-leverage, high-equity position for the average landlord in the area.

The portfolio is almost entirely dedicated to rentals, with 4,060 properties (98.6%) being non-owner-occupied, confirming the business focus of these property owners.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q4, landlords purchased properties for 24.2% less than traditional homeowners, an average discount of $64,828.
Detailed Findings

Landlords in Columbus County demonstrate a consistent ability to acquire properties below market rates paid by traditional homeowners. In Q4 2025, the average landlord acquisition price was $202,797, a substantial 24.2% less than the $267,625 paid by homeowners.

This price advantage translates to a significant monetary discount of $64,828 per property, providing investors with immediate equity or higher potential cash flow.

The size of this discount fluctuates quarterly, indicating a dynamic negotiation landscape. It was even more pronounced in Q3 2025, when landlords achieved a 36.7% discount ($90,319), compared to a 13.8% discount ($33,612) in Q2 2025.

Acquisition prices have shown strong appreciation over time. The Q4 2025 average price of $202,797 is 22.2% higher than the average price of $165,885 during the 2020-2023 boom years, reflecting overall market growth.

The consistent price gap across all recent quarters suggests that investors are leveraging sophisticated strategies, such as sourcing off-market deals or purchasing properties requiring renovation, to achieve lower entry costs.

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

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords were a major market force in Q4, purchasing 34.0% of all single-family properties sold.
Detailed Findings

Investor activity surged in Q4 2025, with landlords acquiring 35 of the 103 total SFRs sold in Columbus County, capturing a significant 34.0% of the market share.

The quarter was defined by the entry and activity of small-scale investors. New single-property landlords were the most active group, with 35 new entities purchasing 25 properties, representing 65.8% of all investor acquisitions.

Mom-and-pop landlords (Tiers 01-04) collectively purchased 35 properties, which accounts for 92.1% of all landlord buying activity. This demonstrates that the market's momentum is driven by small, independent investors.

Institutional investors (Tier 09) had a minimal presence, acquiring only 2 properties in the same period, making up just 5.3% of the investor purchase volume.

The data clearly shows a grassroots-driven market, with the vast majority of Q4 buying activity fueled by individuals and small entities rather than large corporations.

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 97.7% of all investor-owned SFRs.
Detailed Findings

The investor landscape in Columbus County is definitively controlled by small-scale, mom-and-pop landlords (1-10 properties), who collectively own 97.7% of all investor-held SFRs.

This concentration at the small end of the market defies the narrative of corporate dominance. Single-property landlords (Tier 01) alone account for 3,444 properties, or 81.7% of the total investor portfolio.

As portfolio size increases, the number of properties drops off precipitously. Mid-size landlords (11-100 properties) control just 1.7% of the stock combined.

The presence of institutional capital (Tier 09, 1000+ properties) is negligible, with this tier owning only 5 properties, which equates to just 0.1% of the total investor-owned supply.

This ownership distribution highlights a highly fragmented market, reliant on thousands of individual owners rather than a handful of large-scale operators.

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

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Individual investors are the backbone of every tier, but companies gain notable share in portfolios of 6-10 properties.
Detailed Findings

Individual investors form the foundation of the rental market in Columbus County, owning the vast majority of properties across smaller portfolio tiers. They own 94.4% of single-property rentals and 88.9% of two-property portfolios.

A clear shift in ownership structure occurs as portfolios grow. The 6-10 property tier represents a key transition point, where company ownership jumps to 41.8%, up from 18.6% in the 3-5 property tier.

While individuals still hold the majority in mid-size tiers (59.7% in the 11-20 property tier), the increasing presence of companies suggests a trend toward formalizing operations as landlords scale their businesses.

Even in the smallest tier, companies have a foothold, owning 195 single-property rentals (5.6%), indicating that some investors choose a corporate structure from their very first purchase.

This pattern reveals a market life cycle: investors often start as individuals and adopt a corporate structure as their portfolio and complexity grow, particularly after crossing the five-property threshold.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is highly concentrated, with zip code 28472 alone containing 1,187 investor-owned properties.
Detailed Findings

Investor activity in Columbus County is not evenly distributed but is instead focused in specific geographic pockets. The top five zip codes by property count (28472, 28463, 28431, 28450, and 28456) together contain 2,921 properties, representing 70.9% of all investor-owned SFRs in the county.

The zip code 28472 is the epicenter of investor ownership by volume, with 1,187 properties, where investors own 25.4% of the housing stock.

Analysis of ownership rates reveals different strategic targets. Zip code 28424 stands out with an exceptionally high investor ownership rate of 87.2%, indicating a market almost entirely composed of rental properties.

Some areas are hotspots for both volume and saturation. Zip code 28450 ranks in the top five for both count (431 properties) and ownership rate (39.5%), signaling it as a key area for rental investment.

This geographic concentration suggests that investors are targeting specific neighborhoods, likely driven by factors like rental demand, property values, and available inventory.

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
Investors are aggressive net buyers, acquiring 4.5 properties for every 1 they sold in Q4 2025.
Detailed Findings

The investor market in Columbus County is characterized by strong and sustained accumulation. In Q4 2025, landlords were definitive net buyers, purchasing 54 SFRs while selling only 12, resulting in a net gain of 42 properties for the rental stock.

This aggressive buying behavior translates to a buy/sell ratio of 4.5, indicating that for every property an investor sold, 4.5 more were purchased by other investors.

This is not a recent phenomenon but a consistent trend. Throughout 2025, investors purchased 182 properties and sold just 44, and in 2024 they bought 185 while selling only 29, showcasing a multi-year pattern of portfolio growth.

Even institutional investors (1000+ tier), despite their small footprint, are expanding their local holdings. They were net buyers in Q4 (3 buys vs. 1 sell) and for the full year 2025 (4 buys vs. 1 sell).

This persistent net buying activity across all investor types signals strong confidence in the Columbus County rental market and a continued strategy of long-term holding.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Investors were involved in 33.5% of all Q4 transactions, with institutions paying 55% less than new landlords.
Detailed Findings

In Q4 2025, landlords participated in 54 of the 161 total SFR transactions in Columbus County, representing a 33.5% share of all market activity.

A dramatic pricing disparity emerges when comparing investor tiers, revealing different acquisition strategies. The average purchase price for a new single-property landlord was $192,271.

In stark contrast, institutional investors (1000+ tier) paid an average of only $86,492 per property. This represents a 55.0% discount compared to what first-time mom-and-pop buyers paid, suggesting institutions are accessing a different class of deals, possibly distressed or off-market assets.

The data also reveals a professionalized deal pipeline for larger players. Institutional investors acquired 66.7% of their new properties (2 out of 3) from other landlords, indicating a robust market for portfolio trading among seasoned operators.

Conversely, new landlords sourced a much smaller portion of their deals from other investors (13.5%), suggesting they are more likely competing with traditional homebuyers in the open market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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

TALK TO AN EXPERT

Executive Summary

Individual Investors Dominate Columbus County's Rental Market, Owning 98% of Stock and Buying at a 24% Discount
Holdings
Landlords own 4,117 SFR properties, representing 29.4% of the market in Columbus County. The portfolio is overwhelmingly held by individual investors, who own 3,773 properties (91.6%), compared to just 370 (9.0%) owned by companies.
Pricing
Landlords consistently purchase properties at a discount, paying 24.2% less than traditional homeowners in Q4 2025. This amounted to an average savings of $64,828 per property ($202,797 for landlords vs. $267,625 for homeowners).
Activity
In Q4 2025, landlords acquired 34.0% of all homes sold (35 properties), with activity driven by small investors. The market welcomed 35 new single-property landlords, who alone accounted for 65.8% of all investor purchases.
Market Share
The market is controlled by small-scale investors, as mom-and-pop landlords (1-10 properties) own 97.7% of all investor-held housing. In contrast, institutional investors (1000+ properties) have a negligible share of just 0.1%.
Ownership Type
Individual investors are the primary owners across most portfolio sizes, but companies establish a significant presence in portfolios of 6-10 properties, where their ownership share rises to 41.8%.
Transactions
Landlords are strong net buyers in Columbus County, with a Q4 buy/sell ratio of 4.5x (54 buys vs 12 sells). Institutional investors are also in acquisition mode, though on a smaller scale, with 3 buys versus 1 sell.
Market Narrative

The single-family rental market in Columbus County, North Carolina is fundamentally shaped by individual, small-scale investors. Landlords command a substantial 29.4% of the entire SFR market, with a portfolio of 4,117 properties. This ownership is not concentrated in corporate hands; rather, 91.6% of these homes are owned by individuals. The market structure is highly fragmented, with mom-and-pop landlords (1-10 properties) controlling a staggering 97.7% of the investor-owned housing stock, while large-scale institutional investors hold a mere 0.1%.

Investor behavior in Q4 2025 was characterized by aggressive acquisition and savvy pricing. Landlords were involved in 34.0% of all home sales, acting as decisive net buyers with a 4.5-to-1 buy/sell ratio. This activity was led by 35 new single-property landlords entering the market. Critically, investors demonstrated a significant pricing advantage, purchasing homes for an average of 24.2% less than traditional homeowners. This gap reveals a bifurcated market where professional buyers operate with different strategies, a trend even more pronounced among institutional investors who paid 55% less than their mom-and-pop counterparts.

The key takeaway is that the Columbus County housing market is heavily influenced by a large, active, and financially sophisticated base of individual landlords. They are not passive bystanders but are actively shaping market dynamics through high-volume acquisitions and disciplined, below-market pricing. Their continued net-buying activity signals strong confidence in local rental demand and suggests that the investor-owned share of the market is poised for further growth, driven not by Wall Street but by local, small-scale entrepreneurs.

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.

TierPropertiesCategory
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 GeneratedMarch 19, 2026 at 01:41 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyColumbus (NC)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail