Wilson (TX) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Wilson (TX)
12,033
Total Investors in Wilson (TX)
1,821
Investor Owned SFR in Wilson (TX)
1,429(11.9%)
Individual Landlords
Landlords
1,663
SFR Owned
1,246
Corporate Landlords
Landlords
158
SFR Owned
191
Understanding Property Counts

Distinct Count Methodology: The total 1,429 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

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

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Individual investors dominate Wilson County, acquiring properties at a 30.8% discount to homeowners while institutions strategically accumulate.
Investors own 1,429 SFR properties, 11.9% of the Wilson County market, with mom-and-pop landlords controlling a staggering 97.3% of that portfolio. In Q1 2026, landlords purchased 19.3% of homes sold, paying an average of $320,318 versus the homeowner price of $462,712. Both small and institutional investors are strong net buyers, signaling continued rental market growth.
Landlord Owned Current Holdings
Investors own 1,429 SFR properties, with individual landlords holding a commanding 87.2% share.
Of the investor-owned properties, 957 were purchased with cash, more than double the 472 that are financed. Individual investors make up 91.3% of all landlord entities in the county, reinforcing the market's mom-and-pop character.
Landlord vs Traditional Homeowners
Landlords secured a massive 30.8% discount in Q1, paying $142,394 less than traditional homeowners.
The price gap between landlords and homeowners has widened dramatically, from just 4.9% in Q3 2025 to 30.8% in Q1 2026. This indicates an increasing ability for investors to find and secure undervalued properties in the current market.
Current Quarter Purchases
In Q4 2025, landlords acquired 20.4% of all SFR properties sold in Wilson County.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 78.6% of all investor purchases. Institutional investors (1000+ properties) also showed notable activity, making up 10.7% of landlord acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 97.3% of investor-owned SFRs.
In contrast, institutional investors with portfolios of over 1,000 properties own just 0.5% of the local investor housing stock. Single-property landlords alone make up the largest segment, owning 1,120 properties, or 76.1% of the total.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 11 or more properties, holding 90% of assets in that tier.
Despite this crossover, individual investors maintain a strong presence across all tiers, owning 92.5% of single-property portfolios and still holding 67.6% of portfolios in the 6-10 property range. This highlights a clear strategic shift to incorporation as portfolios grow.
Geographic Distribution
Investor activity is highly concentrated in specific zip codes, with 78114 holding the most properties at 616.
However, the highest penetration rate is in 78143, where 50.0% of all SFRs are investor-owned. Zip codes 78160 and 78147 show both high volume and high concentration, making them key investor hotspots.
Historical Transactions
Landlords are strong net buyers in Wilson County, acquiring 4.75 properties for every one they sold in Q1 2026.
This trend of accumulation is consistent over time, with a net gain of 84 properties in 2025 and 135 in 2024. Institutional investors are also in growth mode, with 5 purchases and 2 sales in Q1 2026.
Current Quarter Transactions
Landlords were involved in 19.3% of all SFR transactions in Q1 2026, purchasing 38 properties.
Institutional investors paid 0.5% less than first-time landlords ($318,550 vs $320,178). Institutions also heavily sourced properties from other investors, with 60% of their buys coming from fellow landlords, compared to just 8.7% for the smallest buyers.

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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 1,429 SFR properties, with individual landlords holding a commanding 87.2% share.
Detailed Findings

In Wilson County, investors hold 1,429 Single-Family Residential (SFR) properties, which constitutes 11.9% of the total 12,033 SFRs in the market. This reveals a significant, yet not overwhelming, investor presence in the local housing landscape.

The ownership structure is heavily skewed towards individuals over corporations. Individual investors own 1,246 properties, or 87.2% of the investor-owned market, while companies own the remaining 191 properties (13.4%). This composition challenges the narrative of a market dominated by large corporate landlords.

Looking at landlord entities, the pattern is even more pronounced. There are 1,821 distinct landlords, of which 1,663 are individuals and only 158 are companies. This means individual, smaller-scale operators constitute over 91% of all investors in the county.

Analysis of financing preferences shows a strong inclination for all-cash acquisitions among investors. Landlords own 957 properties outright (cash), compared to 472 properties that carry financing. This suggests a well-capitalized investor base that can move quickly on opportunities without relying on traditional lending.

The portfolio is overwhelmingly focused on rental income, with 1,378 of the 1,429 properties identified as rented. This high rental penetration underscores the business-oriented nature of these holdings, with very few properties being used for other purposes.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a massive 30.8% discount in Q1, paying $142,394 less than traditional homeowners.
Detailed Findings

In Q1 2026, investors in Wilson County demonstrated a remarkable ability to acquire properties below typical market rates. The average landlord acquisition price was $320,318, a full 30.8% less than the $462,712 paid by traditional homeowners, creating an average discount of $142,394 per property.

This pricing advantage for landlords is not only significant but also appears to be growing. The 30.8% discount in the most recent quarter is a sharp increase from previous periods. For comparison, the discount was 19.2% in Q2 2025 and only 4.9% in Q3 2025, signaling a major shift in purchasing power or strategy.

While historical data from 2020-2023 shows an average acquisition price of $331,626 for investors, the Q1 2026 price of $320,318 suggests that investors are currently acquiring properties for less than they did during the pandemic-era housing boom.

The consistent ability of investors to pay less than homeowners points to sophisticated acquisition strategies. These may include targeting distressed properties, off-market deals, or leveraging cash offers to negotiate more favorable terms, all of which are common tactics in real estate investing.

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
In Q4 2025, landlords acquired 20.4% of all SFR properties sold in Wilson County.
Detailed Findings

During Q4 2025, real estate investors were a significant force in the Wilson County market, purchasing 28 of the 137 total SFR properties sold. This activity gave landlords a 20.4% market share of all home purchases for the quarter.

The bulk of this purchasing activity was driven by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 22 of the 28 investor acquisitions, representing 78.6% of the investor total. This highlights the continued importance of small investors in driving market demand.

New market entrants made a strong showing, with 23 distinct entities purchasing their first investment property. These single-property landlords accounted for 16 properties, or 57.1% of all investor purchases, indicating a healthy influx of new capital at the smallest scale.

Despite the dominance of smaller players, institutional investors (1000+ properties) were also active. This tier acquired 3 properties, representing 10.7% of investor purchases. This is a disproportionately high share of activity compared to their overall ownership footprint in the county.

The purchasing distribution shows a market primarily fueled by new and small landlords, but with strategic and concentrated acquisitions being made by the largest institutional players as well.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a staggering 97.3% of investor-owned SFRs.
Detailed Findings

The ownership structure of investment properties in Wilson County is overwhelmingly dominated by small, independent landlords. Mom-and-pop investors (Tiers 01-04, owning 1-10 properties) collectively own 97.3% of all investor-held SFRs, a figure that underscores their critical role in providing rental housing.

At the most granular level, single-property landlords (Tier 01) represent the bedrock of the market. This group owns 1,120 properties, which accounts for 76.1% of the entire investor-owned portfolio. This heavy concentration at the entry level points to a highly fragmented market with a low barrier to entry.

Mid-size landlords (11-1,000 properties) occupy a small niche, collectively owning just 2.2% of the investor SFR inventory. This suggests that few investors in the county scale their portfolios into the medium or large categories.

Institutional investors (Tier 09, 1000+ properties) have a minimal footprint, controlling only 8 properties, or 0.5% of the market. This data directly counters the perception that large, Wall Street-backed firms are the primary owners of rental homes in the area.

The distribution clearly shows a market built on the activity of thousands of small operators rather than a handful of large ones. This structure has significant implications for market stability, rental pricing, and property management standards across Wilson County.

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 dominant owner type in portfolios of 11 or more properties, holding 90% of assets in that tier.
Detailed Findings

A clear strategic shift occurs as investors scale their portfolios in Wilson County. While individuals dominate smaller tiers, companies become the majority owners at the 11-20 property level, holding 9 out of 10 properties (90.0%) in that segment. This marks a distinct crossover point where a corporate structure becomes the preferred vehicle for property ownership.

Individual investors are the definitive force in the mom-and-pop categories. They own 92.5% of all single-property investments (1,040 properties) and 82.6% of two-property portfolios. Their ownership share remains high even in the 6-10 property tier, at 67.6%.

The data suggests a lifecycle for real estate investors: they often start as individuals and then incorporate as their holdings grow in size and complexity. This is a common strategy to limit liability and manage assets more formally.

Even though companies dominate larger portfolios, their overall property count remains lower due to the sheer volume of small, individual investors. For instance, companies own just 84 properties in the single-property tier compared to 1,040 for individuals.

This pattern reveals two distinct investor profiles operating in the market: the individual operator managing a small number of rentals, and the more professional, incorporated entity managing a larger, more diversified portfolio.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in specific zip codes, with 78114 holding the most properties at 616.
Detailed Findings

Geographic analysis reveals that investor ownership in Wilson County is not evenly distributed but concentrated in key areas. The zip code 78114 contains the highest absolute number of investor-owned properties, with 616 SFRs, though its investor ownership rate is a more modest 11.9%.

The distinction between high volume and high concentration is critical. The zip code 78143 has the highest investor ownership rate at 50.0%, meaning one in every two homes is owned by an investor, despite not being in the top five for total property count.

Several zip codes appear to be hotspots for both volume and penetration. For example, 78160 has 210 investor properties and a high 27.6% ownership rate, while 78147 has 184 properties and a 30.7% rate. These areas represent the core of investor activity in the county.

Conversely, some areas have very low investor penetration. Zip code 78101 has only a 4.7% investor ownership rate, indicating it is primarily composed of owner-occupied housing and may represent an area of future opportunity or different market dynamics.

This targeted geographic clustering suggests investors are focusing on specific neighborhoods or communities that offer desirable characteristics, such as strong rental demand, specific price points, or potential for appreciation.

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 are strong net buyers in Wilson County, acquiring 4.75 properties for every one they sold in Q1 2026.
Detailed Findings

Transactional data shows that landlords in Wilson County are in a phase of aggressive accumulation. In Q1 2026, they purchased 38 properties while selling only 8, resulting in a buy-to-sell ratio of 4.75-to-1 and a net gain of 30 properties for the investor community.

This net-buyer behavior is a consistent, long-term trend. Throughout 2025, investors added a net 84 properties to their portfolios (131 buys vs. 47 sells), and in 2024, they added a net 135 properties (178 buys vs. 43 sells). This sustained activity signals strong confidence in the local rental market.

Institutional investors (1000+ tier) are also expanding their local footprint, contrary to narratives of an institutional sell-off. In Q1 2026, they were net buyers, acquiring 5 properties and divesting only 2. They were also net buyers in 2024, adding a net of 3 properties.

The data from these historical transactions paints a clear picture of a growing rental market. Both small and large investors are actively acquiring more properties than they are selling, which is likely to increase the overall share of rental housing in Wilson County over time.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 19.3% of all SFR transactions in Q1 2026, purchasing 38 properties.
Detailed Findings

In the first quarter of 2026, landlords represented a significant portion of market activity, participating in 38 of the 197 total SFR transactions, for a market share of 19.3%. This demonstrates their consistent role in the local real estate ecosystem.

A notable pricing pattern emerged among different investor tiers. Institutional investors (1000+ properties) paid an average of $318,550 per property, which is 0.5% less than the $320,178 paid by single-property landlords. This slight price advantage suggests more sophisticated or efficient acquisition methods by larger players.

The price spread across tiers was significant. Large investors in the 101-1,000 property tier acquired homes for an average of just $163,089, while small landlords in the 6-10 tier paid the most at $440,417, highlighting vastly different acquisition strategies and target assets.

Sourcing of properties also differed dramatically by investor size. Institutional buyers relied heavily on the existing investor network, with 60.0% of their purchases (3 of 5) acquired from other landlords. This indicates a liquid market for trading rental assets among large players.

In contrast, new single-property landlords primarily bought from the open market, with only 8.7% of their acquisitions coming from other investors. This shows they are typically competing directly with traditional homeowners rather than participating in insider transactions.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords dominate Wilson County's rental market, holding 97.3% of investor properties while institutions accumulate strategically.
Holdings
Landlords own 1,429 SFR properties in Wilson County, representing 11.9% of the market. Individual investors are the primary force, holding 87.2% of these assets (1,246 properties) compared to companies at 13.4% (191 properties).
Pricing
Investors achieved a remarkable 30.8% price discount compared to homeowners in Q1 2026, paying an average of $320,318 versus the homeowner price of $462,712, a savings of $142,394 per home.
Activity
In Q1 2026, landlords purchased 19.3% of all homes sold (38 properties), with mom-and-pop investors accounting for the majority of transactions (29) compared to institutional investors (5).
Market Share
Small, mom-and-pop landlords (1-10 properties) overwhelmingly control the market with 97.3% of all investor-owned housing. In stark contrast, institutional investors (1000+ properties) hold a minimal share of just 0.5%.
Ownership Type
Individual investors command the market at smaller scales, but companies become the majority owners in portfolios of 11-20 properties, where they hold 90.0% of the assets.
Transactions
Landlords are strong net buyers with a 4.75x buy-to-sell ratio in Q1 2026 (38 buys vs. 8 sells). Institutional investors are also in acquisition mode, operating as net buyers with 5 purchases against 2 sales.
Market Narrative

In Wilson County, Texas, the investor landscape is unequivocally defined by small, independent operators. Landlords own 1,429 Single-Family Residential properties, accounting for 11.9% of the total market. The ownership structure heavily favors individuals, who hold 87.2% of these properties, compared to just 13.4% for companies. This dynamic is most pronounced in the tier distribution: mom-and-pop landlords (owning 1-10 properties) control a staggering 97.3% of the investor-owned housing stock, while institutional firms with over 1,000 properties have a negligible footprint of only 0.5%. This data paints a clear picture of a fragmented market, built on the activity of local entrepreneurs rather than large corporations.

Investor behavior in Q1 2026 reveals sophisticated and aggressive acquisition strategies. Landlords purchased 19.3% of all homes sold and demonstrated a significant pricing advantage, paying an average of 30.8% less than traditional homeowners, a discount worth $142,394 per property. The market is in a clear accumulation phase, with landlords acting as strong net buyers, acquiring 4.75 properties for every one they sold. This trend extends to institutional players, who, despite their small overall presence, are also net buyers. A key insight into their strategy is their sourcing: 60% of institutional purchases were acquired from other landlords, suggesting a focus on trading existing rental assets, while new mom-and-pop investors compete in the open market.

The key takeaway for the Wilson County housing market is that it remains a domain of the small investor, who is currently expanding their portfolio with remarkable efficiency. The narrative of a “Wall Street” takeover does not apply here; instead, the market’s rental inventory is provided by a diverse group of individuals. The deep discounts investors are securing may indicate a proficiency in finding off-market or distressed opportunities, a trend that could apply pressure on traditional home prices. With all investor segments acting as net buyers, the proportion of rental housing in Wilson County is set to continue its steady growth.

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 04:22 AM
Data Period Q1 2026
Geography Level County
Geography Wilson (TX)
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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
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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 Section11 Yoy Institutional
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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

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How to cite this report

BatchData. (2026). Q1 2026 Wilson (TX) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-tx-wilson/. Licensed under CC BY-NC-ND 4.0.