Lewis (WV) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Lewis (WV)
5,617
Total Investors in Lewis (WV)
1,526
Investor Owned SFR in Lewis (WV)
1,283(22.8%)
Individual Landlords
Landlords
1,414
SFR Owned
1,157
Corporate Landlords
Landlords
112
SFR Owned
132
Understanding Property Counts

Distinct Count Methodology: The total 1,283 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 Define Lewis County's Market, Controlling 97.7% of Rentals
Investors own 1,283 SFR properties in Lewis County, representing 22.8% of the market, with 90.2% held by individuals. In Q1 2026, landlords remained net buyers and secured properties at a 12.7% discount compared to homeowners, reinforcing the market's grassroots, non-institutional character.
Landlord Owned Current Holdings
Investors hold 1,283 SFR properties in Lewis County, with individuals owning 90.2%.
Cash is the dominant financing method, with 1,221 properties owned outright versus just 62 financed. The portfolio is heavily rental-focused, as 1,258 of the 1,283 properties are non-owner-occupied.
Landlord vs Traditional Homeowners
Landlords purchased property at a 12.7% discount in Q1, paying $141,400 on average.
The price gap between landlords and homeowners is highly volatile, swinging from a 47.9% landlord discount in Q1 2025 to an 81.8% premium paid by landlords in Q2 2025. This volatility likely reflects low transaction volumes in the market.
Current Quarter Purchases
Landlords acquired 11.5% of all SFR properties sold in the most recent quarter's activity.
Mom-and-pop investors drove 71.4% of this activity, purchasing 5 of the 7 properties bought by landlords. Institutional investors made zero acquisitions, showing no presence in the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 97.7% of investor-owned SFR housing.
Institutional investors with 1,000+ properties have a minimal footprint, owning just 0.3% of the portfolio. Single-property landlords are the largest group, holding 1,044 properties, which is 78.4% of all investor-owned homes.
Ownership by Tier & Type
Companies become the majority owners (75.0%) only in the 21-50 property portfolio tier.
Individual investors overwhelmingly control smaller portfolios, owning 91.9% of single-property holdings and 90.9% of two-property holdings. This pattern persists until portfolios grow significantly larger.
Geographic Distribution
Investor activity is highly concentrated in the 26452 zip code, which holds 755 properties.
While 26452 has the highest absolute count, smaller zip codes like 26343 and 26321 have the highest investor penetration rates at 39.3% and 35.7%, respectively. This highlights different types of market saturation.
Historical Transactions
Landlords in Lewis County are strong net buyers, purchasing 8 properties and selling only 2 in Q1 2026.
This trend of accumulation has been consistent, with a net gain of 22 properties in 2025 and 59 in 2024. Institutional investors, meanwhile, were neutral in 2025, buying one property and selling one.
Current Quarter Transactions
Investors were involved in 10.1% of all property transactions in the first quarter of 2026.
Small landlords demonstrated a preference for inter-investor deals, with 100% of transactions in the 3-5 property tier being purchased from other landlords. New single-property investors paid an average of $136,500.

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 hold 1,283 SFR properties in Lewis County, with individuals owning 90.2%.
Detailed Findings

In Lewis County, investors hold a significant 22.8% share of the single-family residential market, owning 1,283 out of 5,617 total SFR properties. This presence underscores the importance of real estate investing in the local housing ecosystem.

The market is overwhelmingly characterized by individual ownership. Individual landlords own 1,157 properties, accounting for 90.2% of the investor-owned portfolio, while companies hold the remaining 132 properties (10.3%). This structure points to a market driven by local entrepreneurs rather than large corporations.

A striking financial pattern is the preference for cash transactions. A total of 1,221 investor-owned properties were acquired with cash, compared to only 62 that are currently financed. This indicates a low-leverage investment strategy is prevalent among landlords in the area.

The primary strategy for investors is clearly generating rental income. Of the 1,283 properties in the portfolio, 1,258 are rented and classified as non-owner-occupied. This near-total focus on rentals highlights the role investors play in supplying housing to the local rental market.

The ownership base is broad, with 1,526 distinct landlord entities identified. The vast majority of these, 1,414 entities, are individuals, compared to 112 company entities. This further reinforces the 'mom-and-pop' nature of the county's rental market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords purchased property at a 12.7% discount in Q1, paying $141,400 on average.
Detailed Findings

In the first quarter of 2026, investors demonstrated a clear pricing advantage, acquiring properties for an average of $141,400. This was 12.7% less than the $161,997 average paid by traditional homeowners, resulting in a savings of $20,597 per property.

However, this discount is not consistent, revealing extreme market volatility. In Q2 2025, landlords paid a staggering 81.8% premium ($344,243 vs. $189,372), an outlier that suggests a specific high-value transaction skewed the average. In contrast, discounts were deep in Q3 2025 (42.7%) and Q1 2025 (47.9%).

The extremely low number of recorded property purchases in recent quarters (zero properties listed for several periods) suggests that these price averages are based on a very small sample size. This can lead to dramatic swings and indicates that the market is relatively illiquid for investors.

Comparing prices across years shows a significant appreciation from the 2020-2023 average of $134,575. The 2025 average price of $209,984 highlights a period of sharp price growth, though recent quarterly data indicates a potential cooling or normalization.

The dramatic fluctuations in the landlord-versus-homeowner price gap highlight an opportunistic purchasing environment. Investors appear to be either finding significant off-market deals or, in rare cases, paying a premium for desirable assets, rather than operating with a consistent pricing strategy.

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 acquired 11.5% of all SFR properties sold in the most recent quarter's activity.
Detailed Findings

During the most recent quarter of recorded activity (Q4 2025), landlords purchased 7 of the 61 total SFR properties sold in Lewis County, capturing an 11.5% market share of acquisitions. This moderate level of activity indicates a steady, but not dominant, investor presence.

The purchasing activity was exclusively driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) accounted for 5 of the 7 acquisitions (71.4%), while institutional investors with over 1,000 properties made no purchases at all.

New market entrants were a key feature of the quarter. Five new landlord entities entered the market, each purchasing a single property. This influx of first-time landlords accounted for 4 of the 7 total properties acquired by investors, signaling grassroots growth in the rental sector.

The activity was concentrated at the opposite ends of the small-investor spectrum. Besides the 4 single-property purchases, a large landlord (101-1,000 properties) also acquired 2 properties, while a mid-size investor (3-5 properties) bought one. This shows a diverse mix of active local players.

The complete absence of institutional buying activity reinforces the localized nature of Lewis County's market. The growth is organic, stemming from new single-property landlords rather than large-scale corporate acquisitions.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 97.7% of investor-owned SFR housing.
Detailed Findings

The ownership structure in Lewis County is overwhelmingly dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively control 97.7% of all investor-owned single-family homes, a figure that challenges narratives of corporate dominance.

At the most granular level, single-property landlords form the bedrock of the market. This tier alone accounts for 1,044 properties, representing 78.4% of the entire investor portfolio. This highlights the critical role of first-time and small-scale investors in providing rental housing.

In stark contrast, institutional investors (1,000+ properties) have a negligible presence. This tier holds just 4 properties, constituting only 0.3% of the investor-owned market. This data shows the local market is effectively insulated from large-scale corporate investment activity.

The distribution is heavily skewed towards the smallest portfolios. The first two tiers (1 and 2 properties) together own 85.8% of the inventory. Ownership concentration falls off sharply, with tiers above 10 properties combined controlling less than 3% of the total.

This distribution, based on comprehensive assessor data, paints a clear picture of a decentralized market. The rental housing supply is provided by a large number of small, local landlords rather than a small number of large owners.

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
Companies become the majority owners (75.0%) only in the 21-50 property portfolio tier.
Detailed Findings

Individual investors are the primary owners across nearly all portfolio sizes in Lewis County. They own 91.9% of single-property portfolios and over 75% of all portfolios up to 20 properties, demonstrating their foundational role in the local market.

A clear crossover point occurs in the 21-50 property tier, where companies become the majority owners. In this segment, companies own 3 properties (75.0%) compared to the 1 property (25.0%) held by individuals, marking the only tier where companies have a dominant share.

Even as portfolio sizes increase, individual ownership remains significant. For instance, in the 6-10 property tier, individuals still own 37 of the 40 properties (92.5%). This shows that incorporating does not become the default strategy until a landlord amasses a substantial number of properties.

The data on company ownership is concentrated. Of the 132 properties owned by companies, the largest portion is held by those in the single-property tier (85 properties), suggesting many small investors choose to incorporate from their first purchase.

The ownership split by tier reveals two distinct strategies. Individuals dominate the accumulation phase through smaller tiers, while formal incorporation becomes the preferred structure for managing larger, more complex portfolios of 21 properties or more.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in the 26452 zip code, which holds 755 properties.
Detailed Findings

Geographic analysis reveals that investor ownership in Lewis County is heavily concentrated in a single area. The zip code 26452 is the epicenter of activity, containing 755 investor-owned properties, which is over half of the county's entire investor portfolio.

However, the areas with the highest investor penetration rates are different from the volume leader. The zip code 26343 has the highest concentration, with 39.3% of its homes owned by investors, followed by 26321 (35.7%) and 26376 (34.0%). These smaller markets are more saturated with rental properties relative to their size.

The top five zip codes by sheer count of investor properties (26452, 26378, 26447, 26372, and 26338) all exhibit high investor ownership rates, ranging from 19.5% to 23.7%. This indicates that the primary investment zones are well-established.

This distinction between high-volume and high-penetration areas is critical for understanding market dynamics. An investor using a property search tool would find the most properties in 26452, but might face less competition from other landlords in areas with lower overall counts but also lower saturation.

Overall, the data points to a hub-and-spoke model of investment in the county. A central, high-volume hub in 26452 is surrounded by several smaller, high-saturation submarkets where investors own more than a third of the housing stock.

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 in Lewis County are strong net buyers, purchasing 8 properties and selling only 2 in Q1 2026.
Detailed Findings

Transaction data reveals that landlords in Lewis County are actively and consistently accumulating properties. In the first quarter of 2026, they demonstrated a 4-to-1 buy-to-sell ratio, acquiring 8 properties while only selling 2, for a net gain of 6 properties.

This behavior is part of a multi-year trend. In 2025, landlords were net buyers by 22 properties (33 buys vs. 11 sells), and in 2024, they were net buyers by an even larger margin of 59 properties (65 buys vs. 6 sells). This signals strong, long-term confidence in the local rental market.

The activity of institutional investors (1,000+ tier) is minimal and does not follow the broader trend. In 2025, this cohort was perfectly neutral, with one purchase and one sale, indicating they are neither expanding nor divesting from their small position in the county.

The data shows a highly acquisitive market posture among the general landlord population. The consistent net positive acquisitions suggest that most investors are in a buy-and-hold phase rather than actively flipping or selling off portfolios.

Comparing Q1 2026 activity (8 buys, 2 sells) with previous quarters shows a steady pace. For example, Q3 2025 also saw 8 purchases. This consistency points to a stable and predictable level of investor demand in the region.

Current Quarter Transactions

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

Key Insight
Investors were involved in 10.1% of all property transactions in the first quarter of 2026.
Detailed Findings

In Q1 2026, landlords participated in 8 of the 79 total SFR transactions, accounting for a 10.1% share of market activity. This indicates a consistent but not overwhelming presence in the transactional market.

Activity was concentrated among the smallest investors, with Mom-and-Pop tiers (1-10 properties) responsible for 6 of the 8 total landlord transactions. Institutional investors made no transactions, reaffirming their passive role in the county.

A notable pattern of inter-landlord trading emerged within smaller tiers. The single transaction in the 3-5 property tier was a purchase from another landlord, suggesting a liquid market among existing investors for trading assets. In contrast, all 5 of the single-property tier purchases were from non-landlords.

Pricing varied between the most active tiers. New investors in the single-property tier paid an average of $136,500. The investor in the 3-5 property tier paid a higher price of $161,000 for their property, which was acquired from another landlord.

The transaction data for the quarter paints a picture of a market where new landlords are entering by buying from homeowners, while existing small landlords are trading properties amongst themselves. The transaction volume remains low, consistent with a small, rural county.

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

Lewis County's rental market is defined by small, local investors who control 97.7% of properties and are actively accumulating more.
Holdings
Landlords own 1,283 SFR properties, representing 22.8% of Lewis County's market. The portfolio is dominated by individual investors, who hold 1,157 properties (90.2%), while companies own the remaining 132 (10.3%).
Pricing
In Q1 2026, landlords paid 12.7% less than traditional homeowners, securing an average discount of $20,597 per property ($141,400 vs. $161,997).
Activity
Landlords purchased 11.5% of homes sold in the most recent quarter (Q4 2025), with 5 new single-property landlords entering the market. Small investors drove 71.4% of this activity.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 97.7% of all investor-owned housing. Institutional investors (1000+) have a negligible share of just 0.3%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners (75.0%) in the 21-50 property tier, which serves as the market's key structural crossover point.
Transactions
Landlords are strong net buyers with a 4-to-1 buy/sell ratio in Q1 2026 (8 buys vs 2 sells). In contrast, institutional investors were neutral in 2025, showing no net accumulation.
Market Narrative

The investor landscape in Lewis County, WV, is fundamentally a story of the small, local landlord. Investors own 1,283 single-family homes, or 22.8% of the total market, but this portfolio is highly decentralized. Individual investors own 90.2% of these properties, and 'mom-and-pop' landlords with 1-10 properties control a staggering 97.7% of all investor-owned housing. In stark contrast, institutional firms with over 1,000 properties have a nearly nonexistent footprint at just 0.3%, a finding that runs counter to national headlines and underscores the grassroots nature of this specific market.

The behavior of these local investors reveals a strategy of careful, long-term accumulation. In the most recent quarter, they captured 11.5% of all home sales, and activity was driven by the entry of new single-property landlords. This growth is supported by a consistent ability to acquire properties at a discount, paying 12.7% less than traditional homeowners in Q1 2026. Furthermore, transaction data shows landlords are strong net buyers, with a 4-to-1 buy-to-sell ratio, signaling sustained confidence and a commitment to expanding their holdings within the community.

Ultimately, these Investor Pulse reports show that the rental market in Lewis County is not shaped by Wall Street, but by Main Street. The key trends are the dominance of individual owners, the continuous entry of new small-scale landlords, and a steady, long-term buy-and-hold strategy. For anyone analyzing this market, the focus must be on the motivations and behaviors of these thousands of small operators who collectively provide a critical component of the local housing supply.

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 05:59 AM
Data Period Q1 2026
Geography Level County
Geography Lewis (WV)
×
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

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.

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Lewis (WV) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-wv-lewis/. Licensed under CC BY-NC-ND 4.0.