Onslow (NC) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Onslow (NC)
61,078
Total Investors in Onslow (NC)
19,389
Investor Owned SFR in Onslow (NC)
15,286(25.0%)
Individual Landlords
Landlords
18,190
SFR Owned
13,339
Corporate Landlords
Landlords
1,199
SFR Owned
2,091
Understanding Property Counts

Distinct Count Methodology: The total 15,286 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

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

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Small Landlords Dominate Onslow County's Investor Market, Owning 95% of a 15,286-Property Portfolio
Investors own 25.0% of all Single-Family Residential (SFR) properties in Onslow County, a portfolio totaling 15,286 homes. The market is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who hold 94.9% of investor-owned properties, while institutional investors own just 1.8%. In the most recent quarter, investors were net buyers, acquiring properties at an 11.2% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 15,286 SFR properties in Onslow County, 25% of the market; individuals hold 87.3%.
Cash remains a popular acquisition strategy, with 8,626 properties owned outright compared to 6,660 that are financed. The portfolio is heavily focused on rentals, with 14,917 of 15,286 properties classified as non-owner-occupied. Individual landlords (18,190) vastly outnumber company landlords (1,199).
Landlord vs Traditional Homeowners
Landlords secured a $35,857 discount (11.2%) in Q1, a sharp reversal from paying large premiums in 2025.
This Q1 discount marks a dramatic shift from 2025, when landlords consistently paid more than homeowners, including a 41.1% premium ($134,876) in Q3 2025. This volatility indicates a rapidly changing negotiation landscape between buyer types.
Current Quarter Purchases
Landlords purchased 17.8% of Onslow County's Q4 2025 home sales, totaling 143 properties.
Mom-and-pop investors (1-10 properties) drove the market, accounting for 85.9% of all landlord purchases. In Q4, 141 new single-property landlords entered the market, acquiring 99 properties and representing 66.4% of investor buying activity.
Ownership by Tier
Mom-and-pop landlords control a commanding 94.9% of all investor-owned SFRs in Onslow County.
Single-property landlords are the bedrock of the market, owning 11,950 properties, or 74.9% of the total investor portfolio. In contrast, institutional investors with 1000+ properties hold a mere 1.8% share, totaling 290 properties.
Ownership by Tier & Type
Companies become the majority owners at the 11-20 property tier, a key crossover point from individual control.
Individuals dominate smaller portfolios, owning 93.7% of single-property investments and 82.0% of two-property portfolios. Corporate ownership share grows with portfolio size, reaching 54.9% in the 11-20 property tier and 59.8% in the 21-50 tier.
Geographic Distribution
Investor activity in Onslow County is heavily concentrated in the 28546 zip code, with 3,839 properties.
The highest investor penetration rate is in 28572, where landlords own 80.0% of all SFRs. Zip code 28460 shows a powerful combination of high volume (2,689 properties) and high concentration (36.7% ownership rate).
Historical Transactions
Landlords in Onslow County are aggressive net buyers, acquiring 3.8 properties for every one they sold in Q1 2026.
This strong buying trend is consistent over time, with a net acquisition of 600 properties in 2025 and 748 in 2024. Institutional investors are also net buyers in Q1 2026 (5 buys vs. 1 sell), a reversal from their neutral stance in 2024.
Current Quarter Transactions
Landlords represented 16.2% of all Q1 transactions, with institutional buyers paying 30.7% less than new entrants.
Institutional investors paid an average of $214,779, a sharp discount from the $310,141 paid by single-property buyers. Institutions also sourced a high percentage (40.0%) of their acquisitions from other landlords, suggesting strategic, targeted purchasing.

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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 15,286 SFR properties in Onslow County, 25% of the market; individuals hold 87.3%.
Detailed Findings

In Onslow County, investors hold a significant 25.0% share of the single-family residential market, totaling 15,286 properties out of 61,078 available SFRs. This demonstrates a substantial presence of real estate investing activity in the local housing ecosystem.

The ownership structure is heavily skewed towards individuals over corporations. Individual investors own 13,339 properties, accounting for 87.3% of the investor-owned portfolio, while companies own the remaining 2,091 properties (13.7%).

This individual dominance is even more pronounced when looking at the number of distinct landlord entities. There are 18,190 individual landlords compared to just 1,199 company landlords, a ratio of more than 15 to 1, indicating that the market is characterized by a large number of small-scale participants rather than a few large firms.

In terms of financing, cash is the preferred method for holding assets. Investors own 8,626 properties with cash, surpassing the 6,660 properties that are financed. This suggests a well-capitalized investor base with significant equity in the market.

The portfolio's primary purpose is clear, with 14,917 properties identified as rented. This high concentration of rental properties underscores the vital role investors play in supplying housing inventory for the local rental market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a $35,857 discount (11.2%) in Q1, a sharp reversal from paying large premiums in 2025.
Detailed Findings

A notable shift in purchasing power occurred in the first quarter of 2026. Landlords acquired properties for an average price of $282,906, which is 11.2% less than the $318,763 paid by traditional homeowners. This represents a significant discount of $35,857 per property.

This discount is a dramatic reversal of the trend observed throughout 2025. During that period, landlords consistently paid a premium over homeowners. For instance, in Q3 2025, landlords paid an average of $462,788, a staggering 41.1% premium ($134,876) compared to the homeowner price of $327,912.

The price gap has been highly volatile, swinging from substantial premiums in 2025 to a significant discount in Q1 2026. In Q2 2025, the premium was 15.0% ($49,447), and in Q1 2025, it was 24.2% ($78,056), highlighting an inconsistent and rapidly evolving market dynamic.

The overall price trend also shows significant appreciation when comparing recent activity to the pandemic era. The average acquisition price during 2020-2023 was $277,276, indicating that the market has experienced substantial price growth, although Q1 2026's price of $282,906 suggests a moderation from the highs of 2025.

This pricing behavior suggests that in the current market, investors are demonstrating more effective negotiation or are targeting different types of properties, allowing them to acquire assets below the prices paid by typical homebuyers, a stark contrast to the previous year.

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 purchased 17.8% of Onslow County's Q4 2025 home sales, totaling 143 properties.
Detailed Findings

In the fourth quarter of 2025, investors were a significant force in the Onslow County market, purchasing 143 of the 803 total SFRs sold. This activity gave landlords a 17.8% share of all home purchases for the quarter.

The overwhelming majority of this activity was driven by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, acquired 128 properties, which constitutes 85.9% of all landlord purchases in Q4.

New entrants were the single largest group of buyers. The single-property tier saw 141 new landlord entities enter the market, collectively purchasing 99 homes. This group alone was responsible for 66.4% of all investor-acquired properties, signaling a healthy influx of new capital from first-time investors.

In stark contrast, institutional investors (1,000+ properties) had a minimal impact on quarterly purchases. This tier acquired just 4 properties, representing only 2.7% of the landlord purchase volume, reinforcing the narrative that market activity is dominated by smaller players.

Mid-size landlords (11-1000 properties) also played a role, though smaller than the mom-and-pop segment. They collectively purchased 17 properties, or 11.8% of the investor total, with activity distributed across small-medium, medium-large, and large tiers.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 94.9% of all investor-owned SFRs in Onslow County.
Detailed Findings

The investor landscape in Onslow County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords (owning 1-10 properties) control 94.9% of all investor-owned SFRs, a figure that challenges the common narrative of corporate dominance in residential real estate.

The single-property tier (Tier 01) is the largest segment by a wide margin, accounting for 11,950 properties. This represents 74.9% of the entire investor-owned portfolio, highlighting the critical role of first-time and single-asset investors in providing rental housing.

Combined, the smallest investors in Tiers 01-04 (1-10 properties) own a total of 15,152 properties, underscoring the granular, decentralized nature of property ownership in the county.

At the other end of the spectrum, institutional investors (Tier 09, 1,000+ properties) have a very limited footprint. They own just 290 properties, which equates to only 1.8% of the investor-owned market share. This minimal presence suggests that large-scale corporate ownership is not a defining characteristic of this market.

Mid-size investors (11-1,000 properties) fill the gap but still represent a small fraction of the market. Tiers 05-08 collectively own 517 properties, or 3.3% of the total, showing a steep drop-off in ownership as portfolio sizes increase.

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 11-20 property tier, a key crossover point from individual control.
Detailed Findings

A clear pattern emerges when analyzing ownership by entity type across portfolio sizes: individuals dominate smaller tiers, while companies take control as portfolios scale. The critical crossover point occurs in the small-medium tier of 11-20 properties, where companies own 54.9% of the properties (186 homes), surpassing individual ownership for the first time.

In the smallest tiers, individual ownership is nearly absolute. For single-property landlords, individuals own 11,277 homes (93.7%) compared to just 764 (6.3%) for companies. This trend continues in the two-property tier, with individuals holding an 82.0% majority.

As portfolio sizes increase, the share of company ownership systematically rises. In the 3-5 property tier, companies own 21.4%, which grows to 35.9% in the 6-10 property tier before crossing the 50% threshold.

This trend accelerates in larger portfolios. For investors owning 21-50 properties, companies control a 59.8% majority, indicating that a corporate structure becomes the preferred vehicle for managing more substantial real estate holdings.

This data illustrates a distinct life cycle in property investment. Early-stage or small-scale investing is overwhelmingly an individual pursuit, but as investors grow their portfolios beyond 10 properties, a strategic shift toward incorporation becomes the prevailing model.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Onslow County is heavily concentrated in the 28546 zip code, with 3,839 properties.
Detailed Findings

Geographic analysis reveals that investor ownership in Onslow County is not evenly distributed, with specific zip codes serving as hotspots for activity. The 28546 zip code contains the highest absolute number of investor-owned properties, with 3,839 homes, where investors own 24.2% of the local SFR stock.

Following closely in terms of volume are 28540 with 3,281 properties (21.9% rate) and 28460 with 2,689 properties (36.7% rate). These three zip codes alone represent a significant portion of the total investor portfolio in the county.

However, when measuring by ownership rate, a different picture emerges. The 28572 zip code has the highest concentration, with an astonishing 80.0% of its SFR properties owned by investors. This indicates a market almost entirely composed of rental or investment properties.

Other areas with high investor penetration include 28547 (50.0%) and 28544 (38.9%), demonstrating that some smaller sub-markets have a much higher density of investor activity than the county-wide average of 25.0%.

Notably, some zip codes appear on both lists, indicating both high volume and high concentration. For example, 28460 is third by count and fourth by percentage, while 28445 is fourth by count and fifth by percentage, marking them as critical hubs for investment in the region.

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 Onslow County are aggressive net buyers, acquiring 3.8 properties for every one they sold in Q1 2026.
Detailed Findings

Transaction data reveals a clear and sustained trend of portfolio growth among landlords in Onslow County. In the first quarter of 2026, investors were strong net buyers, purchasing 201 properties while selling only 53, resulting in a net gain of 148 properties and a buy-to-sell ratio of nearly 4-to-1.

This pattern of accumulation is not a recent phenomenon. Looking back at historical data, landlords have been consistent net buyers. In 2025, they acquired 948 properties and sold 348 for a net increase of 600 homes. The trend was even stronger in 2024, with 1,068 buys and 320 sells, for a net gain of 748 properties.

Even the largest players in the market are in acquisition mode. Institutional investors (1,000+ properties) were net buyers in Q1 2026, purchasing 5 properties and selling only 1. This marks a strategic shift from 2024, when their activity was perfectly balanced with 5 buys and 5 sells for the year.

This consistent net buying behavior across different timeframes and investor types indicates strong confidence in the Onslow County real estate market. Investors are not just churning assets; they are actively expanding their holdings and increasing their market footprint.

The high volume of acquisitions compared to sales suggests that investors see long-term value in the local market, choosing to hold and grow their portfolios rather than divest assets.

Current Quarter Transactions

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

Key Insight
Landlords represented 16.2% of all Q1 transactions, with institutional buyers paying 30.7% less than new entrants.
Detailed Findings

In the first quarter of 2026, landlord activity comprised 16.2% of all SFR transactions in Onslow County, with 201 of the 1,238 total transactions involving an investor buyer. This activity was spread across all tiers, but pricing strategies varied dramatically.

A significant price disparity exists between new and established investors. First-time, single-property landlords paid the highest average price at $310,141 per transaction. In stark contrast, institutional investors (1,000+ properties) paid an average of just $214,779, a discount of 30.7%, showcasing the purchasing power and efficiency of larger-scale operators.

The data suggests that larger investors are more sophisticated in their acquisition strategies. Institutional buyers sourced 40.0% of their Q1 purchases from other landlords, the highest rate of any tier. This indicates a focus on acquiring existing rental portfolios or off-market deals within the investor network.

Meanwhile, new mom-and-pop landlords appear to be competing more directly with traditional homebuyers in the open market, reflected in their higher purchase prices. They sourced only 6.4% of their properties from other landlords, the lowest rate among active tiers.

Overall transaction volume in Q1 was dominated by new entrants, who were involved in 141 transactions. Institutional investors were far less active, with only 5 transactions, reinforcing that while they may be more price-efficient, their volume impact on the market is minimal compared to the steady influx of small landlords.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Landlords Dominate Onslow County with 95% Ownership as Investors Capture 25% of SFR Market
Holdings
Landlords own 15,286 single-family residential properties in Onslow County, representing 25.0% of the total market. Individual investors are the primary owners, holding 13,339 properties (87.3%), while companies own 2,091 (13.7%).
Pricing
In Q1 2026, landlords paid an average of 11.2% less than traditional homeowners, securing a discount of $35,857 per property ($282,906 vs. $318,763). This reverses a 2025 trend where they often paid significant premiums.
Activity
Investors accounted for 17.8% of all SFR purchases in Q4 2025, with 141 new single-property landlords entering the market. Mom-and-pop tiers drove 85.9% of all investor buying activity during the quarter.
Market Share
The investor market is overwhelmingly controlled by small landlords (1-10 properties), who own 94.9% of all investor-held housing. In contrast, institutional investors (1,000+ properties) control a minimal 1.8% share.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 11-20 properties. This signals a strategic shift to corporate structures as holdings scale.
Transactions
Investors are strong net buyers with a nearly 4-to-1 buy-to-sell ratio in Q1 2026 (201 buys vs. 53 sells). Institutional investors have also shifted to net buyers, acquiring 5 properties while selling only 1.
Market Narrative

The Onslow County single-family residential market is significantly shaped by investor activity, with landlords owning 15,286 properties, or 25.0% of the entire SFR housing stock. The landscape is not defined by large corporations but by a vast network of individual owners, who control 87.3% of the investor-owned portfolio. This granular ownership is further highlighted by the tier distribution: mom-and-pop landlords (1-10 properties) command an overwhelming 94.9% market share, while institutional investors (1,000+ properties) hold a mere 1.8%. This structure, detailed in our Investor Pulse reports, confirms that small, local investors are the backbone of the rental market in this region.

Investor behavior in recent quarters points to confident accumulation. In Q1 2026, investors were aggressive net buyers, acquiring nearly four properties for every one they sold. This activity was marked by a newfound pricing advantage, as landlords paid 11.2% less than traditional homeowners, a sharp reversal from 2025 when they often paid premiums. Activity is fueled by new entrants, with 141 first-time landlords joining the market in the last quarter of 2025. While smaller investors pay higher prices, larger institutional players demonstrate market sophistication by paying 30.7% less and sourcing 40.0% of their deals from other landlords.

The key takeaway for Onslow County is a resilient and growing rental market driven by a decentralized base of individual investors. The narrative of Wall Street buying up neighborhoods does not apply here; instead, the data reveals a competitive environment where new, small-scale landlords continuously enter the market while larger, more established players use their scale to acquire assets more efficiently. This dynamic suggests a stable rental supply supported by local capital, with ongoing opportunities for both new and experienced investors to expand their 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 21, 2026 at 10:46 PM
Data Period Q1 2026
Geography Level County
Geography Onslow (NC)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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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 Section12 Transactions
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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 Onslow (NC) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-nc-onslow/. Licensed under CC BY-NC-ND 4.0.