Highland (VA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Highland (VA)
799
Total Investors in Highland (VA)
481
Investor Owned SFR in Highland (VA)
351(43.9%)
Individual Landlords
Landlords
436
SFR Owned
316
Corporate Landlords
Landlords
45
SFR Owned
46
Understanding Property Counts

Distinct Count Methodology: The total 351 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

Highland County's housing is dominated by individual investors, who own 43.9% of SFR properties
In Highland County, VA, investors own 351 single-family properties, a significant 43.9% of the market. This ownership is overwhelmingly controlled by individuals (90.0% of holdings), with mom-and-pop landlords (1-10 properties) accounting for 99.2% of all investor-owned homes. In Q1 2026, landlords purchased properties at a massive 46.3% discount compared to homeowners, and they remain strong net buyers in the region.
Landlord Owned Current Holdings
Investors own 351 properties, 43.9% of Highland County's market, with individuals holding 90.0%.
The vast majority of investor-owned properties were acquired with cash (326) versus financing (25), a ratio of more than 13 to 1. Nearly all properties in landlord portfolios are rentals, with 350 of 351 properties classified as non-owner-occupied. There are 436 individual landlords compared to just 45 company entities.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 46.3% less than homeowners, a staggering $162,917 average discount.
The price gap is extremely volatile, swinging from a 107.8% landlord premium in Q1 2025 to the current 46.3% discount in Q1 2026. This reflects a thin market where individual transactions can heavily skew averages. Prices have appreciated significantly since the 2020-2023 period, when the average acquisition price was just $149,919.
Current Quarter Purchases
Landlords dominated Q4 2025 activity, purchasing 4 of 6 homes sold, a 66.7% market share.
Mom-and-pop landlords were responsible for 100% of investor purchases in the quarter. All activity came from the smallest tiers, with four new single-property landlords entering the market and one two-property landlord adding to their portfolio. There was zero acquisition activity from institutional investors.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a near-total 99.2% of investor-owned homes.
Single-property landlords alone own 307 properties, making up 81.6% of the entire investor portfolio. Institutional investors with 1,000+ properties have zero presence, owning 0.0% of the market. This structure demonstrates a complete absence of large-scale corporate ownership.
Ownership by Tier & Type
Individual investors are the majority owners across all small portfolio tiers, holding 89.9% in the single-property tier.
Companies fail to achieve majority ownership at any portfolio size in Highland County. Even in the two-property tier, individuals own 78.6% of properties. This pattern underscores a market where corporate structures are a distinct minority strategy.
Geographic Distribution
The 24465 zip code is the center of investor activity, holding 204 properties at a 43.9% ownership rate.
Investor ownership is highly concentrated and consistently high across the county's main zip codes. The top five zip codes by property count are also the top five by ownership percentage, with rates ranging from 43.5% to 50.0%. The 24442 zip code has the highest penetration, with investors owning exactly half of all SFRs.
Historical Transactions
Landlords in Highland County are aggressive net buyers, acquiring 34 properties while selling only 4 in 2025.
This accumulation trend was consistent, with a net gain of 13 properties in Q2 2025 and 4 in Q3 2025. Institutional investors recorded zero transaction activity, reinforcing their absence from the market. Transaction data shows a clear pattern of portfolio growth among existing landlords.
Current Quarter Transactions
Landlords were involved in 55.6% of all Q4 2025 transactions, buying 5 of the 9 properties sold.
All 5 of these transactions were conducted by mom-and-pop investors. Notably, 0% of these purchases were from other landlords, meaning investors exclusively acquired property from homeowners or other non-investor sellers. The average purchase price for new single-property investors was $205,000.

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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 351 properties, 43.9% of Highland County's market, with individuals holding 90.0%.
Detailed Findings

Investors hold a substantial 43.9% of the single-family residential market in Highland County, with a total of 351 properties under their ownership out of 799 total SFRs. This high concentration points to a market heavily influenced by non-owner-occupant activity and rental demand.

Individual investors are the definitive force in the local market, owning 316 properties, which accounts for 90.0% of the investor-owned portfolio. Company investors hold a much smaller footprint with 46 properties (13.1%), highlighting a market dominated by local individuals rather than larger corporations.

The number of individual landlord entities (436) dwarfs the number of company entities (45) by a ratio of nearly 10 to 1. This reinforces that the investor landscape is composed of a large base of small, independent operators.

Cash is the predominant acquisition method for investors in Highland County. A staggering 326 properties are owned outright without financing, compared to only 25 that carry a mortgage. This indicates a well-capitalized investor base that can move quickly on acquisitions without relying on traditional lending.

The portfolio is almost entirely dedicated to rentals, with 350 of the 351 properties being non-owner-occupied. This 99.7% rental rate underscores the business focus of property owners in this region, converting nearly every acquired asset into a rental unit.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 46.3% less than homeowners, a staggering $162,917 average discount.
Detailed Findings

A dramatic pricing advantage emerged for landlords in Q1 2026, who acquired properties for an average of $188,750. This was $162,917 less than the $351,667 paid by traditional homeowners, representing a significant 46.3% discount and suggesting a strong ability to find undervalued assets.

Pricing dynamics in Highland County are highly volatile, indicative of a market with low transaction volume. In Q1 2025, landlords paid an average of $406,667, a 107.8% premium over homeowners. This complete reversal a year later highlights a market where negotiating power can shift drastically based on specific deals rather than broad trends.

Despite recent discounts, overall property values have risen sharply. The average landlord acquisition price in 2024 was $248,234, a 65.6% increase from the 2020-2023 average of $149,919. This demonstrates significant price appreciation in the post-pandemic era.

The data from Q3 2025 also shows a substantial landlord discount of 56.2% ($160,000 vs. $365,000). The recurring pattern of deep discounts, interrupted by occasional premiums, points to an opportunistic purchasing strategy by local 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 dominated Q4 2025 activity, purchasing 4 of 6 homes sold, a 66.7% market share.
Detailed Findings

Investor purchasing was the primary driver of the Highland County market in Q4 2025, with landlords acquiring 4 out of the 6 total SFRs sold, capturing a 66.7% share of all transactions. This high level of activity underscores their central role in local market liquidity.

The market's growth is fueled exclusively by small-scale investors. Mom-and-pop landlords (Tiers 01-04) accounted for 100% of all investor purchases, totaling 5 properties in the quarter.

New entrants form the backbone of quarterly activity. Four of the five properties purchased by landlords went to new, single-property investors (Tier 01), signaling a healthy influx of first-time landlords into the market.

The remaining investor purchase was made by a two-property landlord, further cementing the trend of small-scale accumulation. The complete absence of acquisitions from mid-size or institutional tiers (0.0% of purchases) confirms the hyperlocal nature of this market.

In total, 5 distinct landlord entities made purchases in Q4, with 4 of them being new to the market. This grassroots activity is the defining characteristic of investor behavior in Highland County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a near-total 99.2% of investor-owned homes.
Detailed Findings

The investor landscape in Highland County is unequivocally controlled by small operators. Mom-and-pop landlords, defined as those owning 1-10 properties (Tiers 01-04), hold 99.2% of all investor-owned SFRs, a level of dominance that leaves virtually no room for larger players.

First-time or single-property landlords are the most significant segment by a wide margin. This group (Tier 01) owns 307 properties, which translates to 81.6% of the total investor-owned housing stock. Their prevalence indicates a low barrier to entry for real estate investing in the area.

The ownership concentration rapidly declines in larger tiers. Two-property landlords (Tier 02) hold 42 properties (11.2%), and those with 3-5 properties (Tier 03) own just 24 properties (6.4%).

There is no evidence of institutional-scale investment in the county. Landlords in the 1,000+ property tier (Tier 09) own zero properties, a stark contrast to narratives of corporate consolidation seen in other markets.

The data reveals a deeply fragmented and decentralized ownership structure. The market is supported by a large number of individuals with small portfolios, not a small number of entities with large ones.

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
Individual investors are the majority owners across all small portfolio tiers, holding 89.9% in the single-property tier.
Detailed Findings

Individual ownership is the standard across all active investor tiers in Highland County. Among single-property landlords, individuals own 284 of the 316 properties in that tier, an 89.9% share, while companies own just 10.1%.

The trend of individual dominance continues as portfolios grow. In the two-property tier, individuals hold a 78.6% majority (33 properties), with companies owning the remaining 21.4% (9 properties).

Even in the small landlord tier (3-5 properties), individuals maintain overwhelming control, owning 23 properties for a 92.0% share. This shows that even as investors expand, they tend to do so under their own names rather than forming corporate entities.

There is no crossover point where companies become the majority owners. The data clearly shows that for every portfolio size represented in Highland County, individual ownership is the prevailing model.

This persistent pattern suggests that the local investment climate favors or is more accessible to private individuals, with corporate structuring being a niche approach used by a small fraction of owners.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 24465 zip code is the center of investor activity, holding 204 properties at a 43.9% ownership rate.
Detailed Findings

Investor activity in Highland County is concentrated in the 24465 zip code, which contains 204 investor-owned properties. This single area accounts for over half of all landlord holdings in the county and has a high investor ownership rate of 43.9%.

High investor penetration is a consistent theme across the county. The top five zip codes by count all feature ownership rates above 43%, indicating that this is a county-wide phenomenon, not one isolated to a single neighborhood.

The 24442 zip code reports the highest rate of investor ownership, where landlords own 19 properties, representing 50.0% of the area's single-family homes. This is followed closely by 24487 (48.9%) and 24458 (44.4%).

Unlike in larger metro areas, the regions with the most investor properties are also the ones with the highest ownership rates. This alignment between volume and penetration in zip codes like 24465, 24458, and 24413 points to deep, established investor networks across the county's primary residential areas.

The top five zip codes collectively hold 329 of the 351 investor-owned properties, or 93.7% of the total, showing that activity is focused within a few key communities.

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
Key Insight
Landlords in Highland County are aggressive net buyers, acquiring 34 properties while selling only 4 in 2025.
Detailed Findings

Investors in Highland County are firmly in an accumulation phase, demonstrating a strong net-buyer position. Across 2025, landlords purchased 34 SFR properties while only selling 4, resulting in a net portfolio expansion of 30 properties and a buy-to-sell ratio of 8.5 to 1.

This buying trend was sustained throughout the year. In Q2 2025, investors bought 15 properties and sold just 2. This was followed by Q3 2025, where they acquired 6 properties and sold 2, continuing the pattern of consistent acquisition.

The data on institutional (1000+ tier) transactions is empty, confirming their complete lack of participation in the Highland County market. All buying and selling activity is driven by smaller, independent investors.

The high net-buyer ratio indicates strong confidence in the local rental market. Investors are choosing to expand their holdings rather than divest, signaling expectations of continued rent growth or property appreciation.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 55.6% of all Q4 2025 transactions, buying 5 of the 9 properties sold.
Detailed Findings

In Q4 2025, landlords were the most active participant group in the Highland County market, taking part in 5 of the 9 total transactions for a 55.6% market share. This high level of involvement highlights their critical role in driving local real estate activity.

The acquisition market was entirely controlled by mom-and-pop investors, who were responsible for 100% of the 5 landlord transactions. Four of these were made by new single-property landlords, and one by a two-property landlord.

A key finding from the quarter is the source of inventory. None of the investor purchases came from other landlords (0.0%). This indicates that investors are expanding the total rental pool by acquiring properties from traditional homeowners, rather than trading assets within the investor community.

Pricing varied between the smallest tiers. New, single-property landlords paid an average of $205,000 for their acquisitions. The two-property landlord acquired their property for a lower price of $140,000.

As with other metrics, there were zero transactions from institutional investors, confirming that all quarterly market activity was concentrated at the smallest end of the investor spectrum.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Individual investors define Highland County's market, owning 43.9% of homes with zero institutional presence
Holdings
Investors own 351 single-family properties in Highland County, representing a 43.9% share of the total market. The portfolio is dominated by individual investors, who own 316 of these properties (90.0%), compared to just 46 (13.1%) owned by companies.
Pricing
In Q1 2026, landlords acquired properties for 46.3% less than traditional homeowners, an average discount of $162,917 ($188,750 vs $351,667), though this pricing advantage has proven highly volatile over the past year.
Activity
Landlords captured 66.7% of all purchases in Q4 2025 (4 of 6 properties), with activity driven entirely by mom-and-pop investors. This included 4 new single-property landlords entering the market, signaling grassroots growth.
Market Share
Small mom-and-pop landlords (1-10 properties) have near-absolute control, owning 99.2% of all investor-held housing. In contrast, institutional investors (1,000+ properties) have no footprint, with 0.0% ownership.
Ownership Type
Individual investors are the majority owners in every portfolio tier, holding 89.9% of single-property portfolios. Companies fail to gain a majority at any size, showing the market preference for individual ownership.
Transactions
Investors are strong net buyers, acquiring properties at a rate of 8.5 to 1 in 2025 (34 buys vs 4 sells). Institutional investors recorded no transactions, remaining completely inactive in this market.
Market Narrative

In Highland County, Virginia, the real estate market is defined by a remarkable concentration of small, individual investors. They own 351 single-family properties, which constitutes a significant 43.9% of the entire SFR market. This landscape is not shaped by Wall Street but by Main Street; individual investors own 90.0% of these properties, while mom-and-pop operators (1-10 homes) control a staggering 99.2% of the investor-owned inventory. Institutional firms with portfolios exceeding 1,000 properties have zero presence here, making it a market completely driven by local capital and small-scale enterprise.

Investor behavior reflects a confident, opportunistic, and expansionist mindset. In the most recent quarter with sales, landlords captured two-thirds of all market purchases (66.7%) and have been consistent net buyers, acquiring 8.5 properties for every one they sold in 2025. This activity is fueled by new entrants, with four new single-property landlords joining the market in Q4 2025 alone. They often secure properties at a deep discount, paying 46.3% less than traditional homeowners in Q1 2026, a testament to their ability to find value in a thinly traded market. The reliance on cash for over 92% of holdings further solidifies their strong financial position.

The key takeaway from the Highland County data is a portrait of a hyper-localized and highly penetrated investor market. The dominance of individual, cash-heavy buyers creates a unique dynamic where nearly half the housing stock is investor-owned, yet corporate influence is entirely absent. This structure suggests a stable rental market supported by a large base of committed, long-term local stakeholders rather than speculative, large-scale capital. For a comprehensive look at similar trends, see our full library of market reports.

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 04:51 AM
Data Period Q1 2026
Geography Level County
Geography Highland (VA)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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
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
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
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
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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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.

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How to cite this report

BatchData. (2026). Q1 2026 Highland (VA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-va-highland/. Licensed under CC BY-NC-ND 4.0.