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

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

Market Overview

Total SFR Properties in Newberry (SC)
13,975
Total Investors in Newberry (SC)
4,281
Investor Owned SFR in Newberry (SC)
4,091(29.3%)
Individual Landlords
Landlords
3,781
SFR Owned
3,411
Corporate Landlords
Landlords
500
SFR Owned
753
Understanding Property Counts

Distinct Count Methodology: The total 4,091 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 Investors Dominate Newberry County, Capturing 29% of Housing at Significant Discounts
Investors own 4,091 SFR properties in Newberry County, representing a significant 29.3% of the total market. This activity is overwhelmingly driven by small, individual landlords who control 94.5% of investor-owned housing, while institutional investors hold a mere 0.1%. In Q1 2026, landlords remained aggressive net buyers, acquiring properties at a 31.5% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors hold 4,091 homes in Newberry County, with individuals owning 83.4% of the portfolio.
The vast majority of investor-owned properties, 3,848, were acquired with cash, compared to just 243 that are financed. Individual investors are the dominant force, with 3,781 individual landlords compared to 500 company landlords.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 31.5% less than homeowners, a staggering $106,768 average discount per property.
This price gap represents a shift from prior quarters, where the discount was even more pronounced, reaching as high as 62.3% in Q1 2025. This suggests a potential narrowing of the price advantage, though it remains exceptionally large.
Current Quarter Purchases
Landlords captured a majority of the market in Q4 2025, purchasing 43 homes, or 51.8% of all sales.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 41 of the 43 purchases, or 93.2% of the landlord total. In contrast, institutional investors with over 1,000 properties made zero purchases.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 94.5% of investor-owned SFR housing.
Institutional investors with 1,000+ properties have a negligible presence, owning just 3 properties, which amounts to only 0.1% of the total investor-owned portfolio.
Ownership by Tier & Type
Companies become the majority owners at the 11-20 property tier, controlling 61.6% of homes in that segment.
Despite this crossover, individuals maintain a strong presence across all tiers, owning 88.3% of single-property portfolios and still holding 38.4% of properties in the 11-20 property tier.
Geographic Distribution
Investor activity is heavily concentrated in a single zip code, 29108, which holds 3,283 (80.2%) of all investor-owned properties.
This same zip code also has a high investor ownership rate of 40.7%. In an extreme case, zip code 29122 is 100% investor-owned, though it represents a much smaller number of properties.
Historical Transactions
Landlords are aggressive net buyers, acquiring 47 properties while selling only 5 in Q1 2026, a 9.4x buy-to-sell ratio.
This net buying trend is consistent over time, with a similar pattern observed in 2025 (215 buys vs 37 sells) and 2024 (131 buys vs 43 sells). There was no recorded transaction activity for institutional (1000+) investors.
Current Quarter Transactions
In Q1 2026, landlords were involved in 45.6% of all transactions, purchasing 47 of the 103 homes sold.
New, single-property landlords paid the highest average price at $250,909, while more established, small-medium landlords (11-20 properties) paid significantly less at $135,000. Only 12.9% of purchases by new landlords came from existing landlords.

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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 hold 4,091 homes in Newberry County, with individuals owning 83.4% of the portfolio.
Detailed Findings

Investors have a substantial footprint in Newberry County, holding 4,091 single-family residential properties, which constitutes 29.3% of the county's total SFR market of 13,975 homes.

The investor landscape is defined by small, independent operators. Individual landlords own 3,411 properties, accounting for 83.4% of the investor-owned portfolio, while company-owned properties number 753, or 18.4%.

A striking financial pattern emerges from the holdings data: investor acquisitions are overwhelmingly cash-based. Of all investor-owned homes, 3,848 are designated as cash properties, compared to only 243 that are financed. This indicates a highly capitalized investor base that is not heavily reliant on leverage.

The entity-level data reinforces the dominance of individual investors. There are 3,781 individual landlords operating in the county, far outnumbering the 500 company landlords. This 7.5-to-1 ratio underscores the grassroots nature of the local rental market.

Nearly the entire investor portfolio is geared toward rental income, with 3,996 of the 4,091 properties classified as rented. This high rental penetration confirms that the primary strategy for local investors is generating cash flow rather than short-term speculation.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 31.5% less than homeowners, a staggering $106,768 average discount per property.
Detailed Findings

Investors in Newberry County demonstrate a consistent ability to acquire properties at a significant discount compared to traditional homeowners. In the first quarter of 2026, landlords paid an average of $231,675, while homeowners paid $338,443, creating a 31.5% price gap, or a $106,768 savings per home.

The price advantage for landlords has been a persistent market feature, though its magnitude has fluctuated. The Q1 2026 discount of 31.5% is substantial, but it is less extreme than in previous periods, such as Q1 2025 when investors paid 62.3% less ($125,300 vs. $331,928). This trend could signal increasing competition for lower-priced inventory.

Analysis over a multi-year period highlights significant price appreciation. The average landlord acquisition price during the 2020-2023 period was $187,357, which climbed to $207,847 for the full year of 2024, showing a clear upward trend in acquisition costs for investors.

The quarterly data reveals volatility in the investor discount. It was 41.1% in Q2 2025 and 18.9% in Q3 2025, indicating that the pricing advantage can vary significantly based on quarterly market conditions and the specific inventory available.

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 a majority of the market in Q4 2025, purchasing 43 homes, or 51.8% of all sales.
Detailed Findings

Investor purchasing activity was exceptionally strong in Q4 2025, with landlords acquiring 43 of the 83 total SFRs sold in Newberry County. This represents a commanding 51.8% market share, indicating that investors were the most significant buyer group during the quarter.

The market's growth is fueled by new entrants. In Q4, 30 new single-property landlord entities entered the market, purchasing 28 properties. This influx of first-time investors constituted 63.6% of all properties bought by landlords, highlighting a robust and expanding base of small-scale real estate investing.

Small landlords completely dominated acquisition activity. Mom-and-pop investors (owning 1-10 properties) were responsible for 93.2% of all landlord purchases. This contrasts sharply with institutional investors (1,000+ properties), who made no acquisitions in the county during this period.

Breaking down the mom-and-pop activity further, single-property landlords were the most active, followed by those owning 3-5 properties (13.6% of purchases) and two properties (11.4%). This illustrates that the buying power is concentrated at the smallest end of the investor spectrum.

The data firmly refutes any narrative of large-scale corporate takeovers in Newberry County. The purchasing activity is almost entirely attributable to local, small-scale operators 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 an overwhelming 94.5% of investor-owned SFR housing.
Detailed Findings

The ownership structure of investor-held real estate in Newberry County is overwhelmingly dominated by small landlords. Mom-and-pop investors, defined as those owning 1-10 properties, collectively hold 94.5% of all investor-owned SFRs.

The concentration at the smallest scale is even more pronounced. Landlords owning just a single property (Tier 01) make up the largest segment, holding 2,979 properties, which is 70.0% of the entire investor portfolio. This underscores the fragmented and grassroots nature of the local rental market.

In stark contrast, institutional-scale investors (1,000+ properties) have a minimal footprint, owning just 3 properties in the county. This accounts for a mere 0.1% of the investor-owned housing stock, demonstrating their near-total absence from this market.

Mid-size landlords (11-1,000 properties) also represent a small fraction of the market. Tiers 05 through 08 collectively own 231 properties, or just 5.4% of the total, reinforcing the market's bifurcation between a massive base of small landlords and a tiny contingent of larger operators.

This distribution challenges the common narrative of large corporations controlling the rental market. In Newberry County, the reality is a market shaped and controlled by thousands of small, independent property owners.

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, controlling 61.6% of homes in that segment.
Detailed Findings

While individual investors dominate the Newberry County market overall, an analysis by portfolio size reveals a distinct crossover point where corporate ownership becomes prevalent. In the 11-20 property tier, companies own 98 properties, representing a 61.6% majority share for that segment.

Below this threshold, individual ownership is the standard. Individuals own 88.3% of single-property portfolios, 84.9% of two-property portfolios, and 80.8% of portfolios with 3-5 properties. This shows a clear pattern of individuals driving the small-scale rental market.

The transition to corporate structures appears to be a function of scale. As portfolios grow beyond 10 properties, the operational and legal benefits of forming a company likely become more attractive, leading to the observed shift in ownership type.

Even in the 6-10 property tier, which precedes the crossover point, company ownership becomes more significant at 38.6%. This suggests that the move toward incorporation begins as landlords approach a dozen properties in their portfolio.

This data illustrates a clear lifecycle in investor behavior, starting with individual ownership for smaller portfolios and transitioning to more formal corporate structures as operations scale up.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is heavily concentrated in a single zip code, 29108, which holds 3,283 (80.2%) of all investor-owned properties.
Detailed Findings

Geographic analysis reveals an extraordinary concentration of investor activity within Newberry County. The zip code 29108 is the undisputed epicenter, containing 3,283 investor-owned properties, which accounts for over 80% of all such properties in the entire county.

The dominance of 29108 is not just in raw numbers but also in market penetration. Within this zip code, investors own 40.7% of all SFR properties, making it a hotspot for rental housing and market reports analysis.

While 29108 is the largest hub, other areas also show high investor saturation. The zip code 29122 reports a 100.0% investor ownership rate, and 29178 has a rate of 25.5%, indicating pockets of very high investor concentration throughout the county.

The top five zip codes by investor property count (29108, 29127, 29178, 29126, 29075) collectively hold the vast majority of investor-owned homes, highlighting a targeted geographic strategy among local landlords.

This hyper-local concentration suggests that investors are focusing their capital on specific neighborhoods, likely driven by factors such as rental demand, property values, and local economic conditions unique to those areas.

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
Landlords are aggressive net buyers, acquiring 47 properties while selling only 5 in Q1 2026, a 9.4x buy-to-sell ratio.
Detailed Findings

Transaction data from Newberry County shows that landlords are firmly in an accumulation phase, consistently buying far more properties than they sell. In Q1 2026, investors purchased 47 SFRs while selling only 5, resulting in a net gain of 42 properties and a powerful 9.4-to-1 buy-to-sell ratio.

This behavior is not a recent phenomenon but a sustained trend. Throughout 2025, landlords maintained their net buyer status, acquiring 215 properties and selling just 37. Similarly, in 2024, they bought 131 homes while selling 43. This pattern points to long-term confidence in the local rental market.

The market shows a clear direction of inventory shifting from non-investors to investors. The consistent, high-volume net buying indicates that landlords are the primary source of demand absorbing available housing stock.

Institutional investors (1,000+ properties) were completely absent from the transaction market. Their lack of buying or selling activity reinforces the finding that the market dynamics in Newberry County are driven exclusively by smaller, independent operators.

The steady pace of acquisitions across multiple years suggests a strategic, long-term approach to building rental portfolios rather than speculative, short-term flipping.

Current Quarter Transactions

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

Key Insight
In Q1 2026, landlords were involved in 45.6% of all transactions, purchasing 47 of the 103 homes sold.
Detailed Findings

Landlords played a pivotal role in the Newberry County real estate market in Q1 2026, participating in 47 of the 103 total SFR transactions. This 45.6% market share underscores their significant influence on local housing liquidity and price discovery.

Acquisition activity was heavily concentrated among the smallest investors. Mom-and-pop landlords (Tiers 01-04) accounted for 44 of the 47 transactions, while institutional investors recorded zero transactions, continuing their pattern of inactivity in the county.

A notable pricing pattern emerged among tiers. New, single-property investors (Tier 01) paid one of the highest average prices at $250,909 per property. In contrast, slightly larger landlords in the 11-20 property tier acquired homes for a much lower average of $135,000, suggesting they may be targeting different types of properties or have greater negotiating power.

The market does not show significant churn between investors. Of the 31 properties purchased by new single-property landlords, only 4 (12.9%) were bought from other landlords. This indicates that new investors are primarily acquiring properties from homeowners or other non-investor entities.

The data from Q1 2026 paints a picture of a market where new and small investors are the primary drivers of activity, often paying a premium to enter the market and largely sourcing their deals from outside the existing investor community.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small, individual investors dominate Newberry County's real estate market, controlling 94.5% of rentals and buying over half of homes sold.
Holdings
Investors own 4,091 SFR properties in Newberry County, representing 29.3% of the market. The portfolio is overwhelmingly held by individuals (3,411 properties, 83.4%) compared to companies (753 properties, 18.4%).
Pricing
Landlords in Q1 2026 achieved a remarkable 31.5% price discount compared to traditional homeowners, paying an average of $231,675 while homeowners paid $338,443, a difference of $106,768 per property.
Activity
In Q4 2025, landlords purchased 51.8% of all homes sold (43 properties), with activity almost entirely driven by mom-and-pop investors. This included 30 new single-property landlords entering the market.
Market Share
The market is controlled by small operators, as mom-and-pop landlords (1-10 properties) own 94.5% of all investor-held SFRs. In contrast, institutional investors (1,000+ properties) hold a negligible 0.1% share.
Ownership Type
Individual investors are the backbone of the market, but companies become the majority owners in portfolios sized at 11-20 properties, where they control 61.6% of the homes.
Transactions
Landlords are strong net buyers with a 9.4-to-1 buy-to-sell ratio in Q1 2026 (47 buys vs 5 sells). Institutional investors were completely inactive, recording no buy or sell transactions.
Market Narrative

The single-family rental market in Newberry County, SC, is characterized by the profound dominance of small, independent investors. These landlords own 4,091 SFR properties, a significant 29.3% of the county's total housing stock. This ownership is not concentrated in the hands of large corporations; instead, individual investors own 83.4% of the portfolio. The market structure is highly fragmented, with mom-and-pop landlords (1-10 properties) controlling an overwhelming 94.5% of investor-owned homes, while institutional firms with over 1,000 properties have a virtually nonexistent footprint at just 0.1%.

Investor behavior in Newberry County is aggressive and strategic. In Q4 2025, they purchased over half (51.8%) of all homes sold, with 30 new single-property landlords entering the market. This activity is fueled by a remarkable ability to secure properties at a deep discount, paying 31.5% less than traditional homeowners in Q1 2026. Transaction data further reveals a clear accumulation strategy, with landlords acting as strong net buyers, purchasing 9.4 times more properties than they sold in the first quarter. This consistent net buying indicates long-term confidence and a steady conversion of housing stock into rental properties.

Ultimately, the data for Newberry County paints a clear picture that defies the national narrative of a corporate takeover of housing. The local market is driven by a large base of individual, cash-heavy investors who are expanding their small portfolios. Their activity is hyper-concentrated in specific zip codes like 29108, shaping distinct sub-markets with high rental density. For anyone analyzing this area, understanding the behavior and financial power of these mom-and-pop operators is critical to understanding the future of the local housing landscape. This detailed Investor Pulse report provides the necessary insights into these trends.

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 02:12 AM
Data Period Q1 2026
Geography Level County
Geography Newberry (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
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 Newberry (SC) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-sc-newberry/. Licensed under CC BY-NC-ND 4.0.