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

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

Market Overview

Total SFR Properties in Starr (TX)
15,384
Total Investors in Starr (TX)
3,297
Investor Owned SFR in Starr (TX)
2,764(18.0%)
Individual Landlords
Landlords
3,225
SFR Owned
2,680
Corporate Landlords
Landlords
72
SFR Owned
91
Understanding Property Counts

Distinct Count Methodology: The total 2,764 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

Starr County's investor market is 99.9% mom-and-pop, with landlords acting as consistent net buyers.
Investors own 18.0% of single-family homes in Starr County, a market almost entirely controlled by small, individual landlords (99.9% of holdings). In Q1, landlords secured properties for 14.1% less than traditional homeowners and continue to be aggressive net buyers, acquiring homes at a 10-to-1 ratio over selling in 2025.
Landlord Owned Current Holdings
Individuals own 97% of the 2,764 investor properties in Starr County.
The vast majority of investor-owned properties are held with cash (2,401) rather than financed (363). The market consists of 3,297 distinct landlords, of whom 3,225 are individuals and only 72 are companies, confirming a small-investor landscape.
Landlord vs Traditional Homeowners
Landlords paid 14.1% less than homeowners in Q1, a $36,667 discount.
The pricing advantage for landlords fluctuates significantly, from a massive 50.1% discount ($121,555) in 2025-Q1 to paying a 10.8% premium ($18,632) in 2025-Q3. This highlights an inconsistent and opportunistic purchasing environment.
Current Quarter Purchases
Landlords bought 18.8% of homes in Q4, with all 12 purchases by new investors.
Mom-and-pop investors accounted for 100% of landlord acquisitions in the fourth quarter. Institutional investors with over 1,000 properties made zero purchases, showing a complete absence from the buying market.
Ownership by Tier
Mom-and-pop investors control a staggering 99.9% of rental homes in the county.
Single-property landlords alone own 85.3% of all investor-held SFRs, totaling 2,430 properties. In contrast, institutional investors with 1,000+ properties have a nearly non-existent share of 0.0%, holding just one property.
Ownership by Tier & Type
Individual landlords dominate all tiers; companies own just 3.3% of rentals.
There is no crossover point where companies become majority owners in Starr County; individuals hold the majority even in the 6-10 property tier (59.1%). Companies have their highest concentration in this same tier, owning 9 of their 91 total properties.
Geographic Distribution
Investor activity is highest in 78582 with 1,657 properties, but 78588 has a 60% ownership rate.
The top two zip codes by property count, 78582 (1,657 properties) and 78584 (867 properties), contain the vast majority of investor-owned homes. However, smaller zip codes like 78591 (50.0%) and 78548 (33.0%) show a much higher density of investor ownership.
Historical Transactions
Starr County landlords are strong net buyers, acquiring 135 properties vs selling 13 in 2025.
The net buying trend has been consistent, with landlords acquiring a net of 98 properties in 2024 and maintaining strong net positive acquisition in Q2 and Q3 of 2025. Even the single institutional entity was a net buyer in 2024, purchasing 3 properties and selling 1.
Current Quarter Transactions
Landlords were involved in 15.4% of Q1 transactions, all by single-property investors.
The 12 landlord transactions in the quarter were exclusively made by new, single-property investors, who paid an average of $222,709. Zero percent of these purchases came from other landlords, suggesting acquisitions were made from the traditional homeowner market.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Individuals own 97% of the 2,764 investor properties in Starr County.
Detailed Findings

Investors hold a significant 18.0% share of the single-family residential market in Starr County, totaling 2,764 properties out of 15,384.

The ownership structure is overwhelmingly dominated by individual investors. They control 2,680 properties, or 97.0% of the investor-owned portfolio, compared to just 91 properties (3.3%) owned by companies.

This individual dominance extends to the entity level, where 3,225 of the 3,297 landlords (97.8%) are individuals. This indicates that the average investor in this market is a small-scale, local player rather than a large corporation.

A cash-heavy strategy prevails among landlords in Starr County. A commanding 2,401 properties in the investor portfolio are owned outright with cash, while only 363 are financed, signaling a low-leverage, financially stable investor base.

The portfolio is heavily focused on rental income, with 2,707 properties classified as rented. This demonstrates a clear strategy of buy-and-hold real estate investing aimed at generating long-term cash flow.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 14.1% less than homeowners in Q1, a $36,667 discount.
Detailed Findings

In the first quarter of 2026, landlords demonstrated a distinct pricing advantage, acquiring properties for an average of $222,709. This price point represents a 14.1% discount compared to the $259,376 paid by traditional homeowners, saving investors an average of $36,667 per transaction.

The price gap between landlords and homeowners has been highly volatile over the past year. While landlords secured a steep 31.4% discount in 2025-Q2 and an even larger 50.1% discount in 2025-Q1, they actually paid a 10.8% premium in 2025-Q3, indicating that their purchasing advantage is market-dependent and not guaranteed.

Acquisition prices have shown a general upward trend since the 2020-2023 period, when the average price was $128,484. The Q1 2026 price of $222,709 reflects a significant appreciation in the market values investors are willing to pay.

The purchase volume data indicates a slowdown in acquisition activity, with zero properties recorded as purchased by landlords in recent quarters despite the presence of average price data. This may suggest sporadic activity or a focus on off-market deals not fully captured in quarterly sales figures.

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 bought 18.8% of homes in Q4, with all 12 purchases by new investors.
Detailed Findings

Landlords captured a notable 18.8% of all SFR sales in Starr County during Q4 2025, acquiring 12 of the 64 homes sold.

The entirety of this purchasing activity was driven by the smallest investors. All 12 properties were acquired by 'mom-and-pop' landlords in Tiers 01-04, reinforcing the grassroots nature of the local investment scene.

Remarkably, every single landlord purchase was made by a new investor entering the market. The data shows 12 properties were bought by 12 distinct entities in the single-property tier, indicating a fresh wave of first-time landlords.

In stark contrast, institutional investors (Tier 09) had no presence in the market, with zero properties purchased. This complete lack of large-scale activity highlights a market dominated by local, small-scale players.

The concentration of activity at the entry-level tier suggests that market conditions in Q4 were particularly favorable for individuals making their first rental property investment, rather than for portfolio expansion by existing landlords.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors control a staggering 99.9% of rental homes in the county.
Detailed Findings

The investor landscape in Starr County is unequivocally dominated by small-scale 'mom-and-pop' landlords. Those owning between 1-10 properties (Tiers 01-04) control a combined 99.9% of all investor-owned single-family homes.

The market's foundation rests on single-property landlords (Tier 01), who own 2,430 properties. This single tier accounts for an immense 85.3% of the entire investor-owned housing stock, demonstrating the highly fragmented nature of ownership.

Mid-size investors are virtually absent. The tiers representing 11-1000 properties collectively own just a handful of homes, reinforcing the lack of portfolio consolidation in the region.

Institutional ownership is statistically insignificant. The 1,000+ property tier (Tier 09) accounts for a single property, representing 0.0% of the market. This defies the common narrative of corporate landlord dominance and proves Starr County is a market of individuals.

The ownership distribution clearly shows that the rental market is supplied by thousands of small operators, not a few large ones. This structure, confirmed by deep analysis of assessor data, suggests a hyper-local market dynamic resistant to large institutional trends.

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 landlords dominate all tiers; companies own just 3.3% of rentals.
Detailed Findings

Individual landlords maintain majority control across every single investor tier in Starr County. This complete dominance means there is no 'crossover point' where companies become the primary owners, a pattern often seen in other markets.

In the single-property tier, which represents the bulk of the market, individuals own 2,382 properties (97.9%) compared to just 52 for companies (2.1%). This highlights that the entry point for investment is almost exclusively an individual pursuit.

Even as portfolio sizes grow, individuals retain control. In the 6-10 property tier, individuals own 13 properties (59.1%) while companies own 9 (40.9%). While this is the highest concentration for companies, they remain the minority partner.

The data shows a clear pattern: as portfolio size increases, company participation slightly increases, but it never surpasses individual ownership. This reinforces the narrative of a market driven by personal investment rather than corporate strategy.

Overall, the 2,680 properties owned by individuals dwarf the 91 owned by companies, showcasing a market where corporate investment structures have a minimal footprint.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highest in 78582 with 1,657 properties, but 78588 has a 60% ownership rate.
Detailed Findings

Investor ownership in Starr County is highly concentrated geographically, with a single zip code, 78582, accounting for 1,657 investor-owned properties. This area represents the core of investment activity by sheer volume.

While 78582 leads in total count, its investor ownership rate is a modest 16.2%. In contrast, smaller, more saturated sub-markets show much higher penetration rates. The zip code 78588 leads by a wide margin, with 60.0% of its homes owned by investors.

This highlights a key distinction between scale and saturation. While the largest volume of investment is in 78582 and 78584 (867 properties), the highest-density investor markets are in 78588, 78591 (50.0% rate), and 78548 (33.0% rate).

The top five zip codes by ownership rate all have investor penetration above 30%, signaling specific neighborhoods where rental properties constitute a significant portion of the housing stock.

This geographic analysis, essential for producing comprehensive market reports, reveals two different investment strategies at play: one focused on volume in larger areas and another focused on high-density ownership in smaller 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
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Starr County landlords are strong net buyers, acquiring 135 properties vs selling 13 in 2025.
Detailed Findings

Landlords in Starr County are consistently and aggressively expanding their portfolios, acting as strong net buyers. In 2025, they purchased 135 SFR properties while selling only 13, resulting in a net gain of 122 properties and a buy-to-sell ratio of over 10-to-1.

This pattern of accumulation is not a recent event. In 2024, landlords also ended the year as significant net buyers, adding a net of 98 properties to their portfolios (121 buys vs. 23 sells).

The trend holds up under quarterly examination. In Q3 2025, landlords bought 41 homes and sold only 5, and in Q2 2025, they bought 33 and sold just 3. This demonstrates sustained confidence and a continuous flow of capital into the local rental market.

Even the market's minimal institutional presence shows a pattern of accumulation. In 2024, the 1000+ tier entity was a net buyer, acquiring 3 properties while only divesting one.

This persistent net-buying activity across all investor types and timeframes indicates a long-term bullish outlook on the Starr County SFR rental market.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 15.4% of Q1 transactions, all by single-property investors.
Detailed Findings

In the first quarter of 2026, landlords participated in 15.4% of the 78 total SFR transactions in Starr County, accounting for 12 purchases.

All transaction activity was concentrated at the very bottom of the investor ladder. One hundred percent of the 12 landlord acquisitions were made by entities in the single-property (Tier 01) category.

These first-time investors paid an average price of $222,709 per property. Meanwhile, there were no transactions recorded for any other tier, including the institutional level, highlighting a market driven entirely by new entrants.

A significant finding is the source of these properties. None of the 12 homes purchased by landlords were bought from other landlords (0% inter-landlord). This indicates that new investors are acquiring their properties directly from traditional homeowners or new construction.

The transactional data for Q1 paints a picture of a grassroots market where growth comes from new individuals buying into the rental market, rather than from existing landlords expanding or trading assets.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Starr County's real estate investor market is 99.9% mom-and-pop, with landlords acting as consistent net buyers.
Holdings
Investors own 2,764 SFR properties in Starr County, TX (18.0% of the market), with individual investors holding 2,680 (97.0%) and companies owning just 91 (3.3%).
Pricing
In Q1, landlords paid 14.1% less than traditional homeowners, an average discount of $36,667 per property ($222,709 vs $259,376).
Activity
Landlords acquired 18.8% of homes sold in Q4, a market driven entirely by small investors, with 12 new single-property landlords entering.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control an overwhelming 99.9% of investor housing, while institutional investors hold a negligible 0.0% share.
Ownership Type
Individual investors dominate all portfolio sizes, holding a majority even in the 6-10 property tier and negating any corporate crossover point.
Transactions
Landlords are aggressive net buyers, acquiring properties at a 10.4-to-1 ratio in 2025 (135 buys vs 13 sells), with no institutional selling activity.
Market Narrative

The single-family rental market in Starr County, TX is fundamentally a 'Main Street' phenomenon, not a 'Wall Street' one. Investors own 2,764 properties, comprising 18.0% of the total SFR housing stock. The market's structure is defined by its fragmentation and individual ownership. An overwhelming 97.0% of these homes (2,680 properties) are held by individual investors, with small 'mom-and-pop' landlords (1-10 properties) controlling 99.9% of the entire investor portfolio. Institutional capital has a near-zero footprint, holding just one property in the county.

Investor behavior is characterized by opportunistic acquisition and consistent portfolio growth. In Q1, landlords demonstrated a clear pricing advantage, securing homes for 14.1% less than traditional homebuyers. This activity is driven by new market entrants, as 100% of Q4 landlord purchases were made by first-time, single-property investors. Across the board, landlords are aggressive net buyers, acquiring properties at more than a 10-to-1 ratio over sales in 2025, signaling strong and sustained confidence in the local rental market.

The key takeaway from these Investor Pulse reports is that Starr County represents a hyper-local, grassroots rental market. Its dynamics are shaped by the decisions of thousands of small, individual operators, not the strategies of large corporations. This insulates it from national institutional trends but also concentrates ownership in specific areas, with some zip codes seeing investor ownership rates as high as 60%. For anyone operating in this area, understanding the behavior of the small, independent landlord is critical to success.

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 04:11 AM
Data Period Q1 2026
Geography Level County
Geography Starr (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 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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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 Starr (TX) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-tx-starr/. Licensed under CC BY-NC-ND 4.0.