Union (AR) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Union (AR)
11,379
Total Investors in Union (AR)
3,267
Investor Owned SFR in Union (AR)
3,303(29.0%)
Individual Landlords
Landlords
2,788
SFR Owned
2,625
Corporate Landlords
Landlords
479
SFR Owned
825
Understanding Property Counts

Distinct Count Methodology: The total 3,303 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 Landlords Dominate Union County's Market, Buying at 57% Discount as Institutions Flee
Investors control 29.0% of Union County's SFR market, with local 'mom-and-pop' landlords owning a staggering 90.8% of that portfolio. In Q4, landlords were aggressive net buyers, acquiring 42.5% of all homes sold at a 57.4% discount to homeowners, while institutional investors continued their retreat as net sellers.
Landlord Owned Current Holdings
Investors own 3,303 SFRs in Union County, with individuals holding a dominant 79.5%.
Cash purchases dominate investor portfolios, with 2,819 properties owned outright versus just 484 financed. The vast majority of these holdings (3,185 properties or 96.4%) are non-owner-occupied rentals.
Landlord vs Traditional Homeowners
Union County landlords paid 57.4% less than homeowners in Q4, a staggering $128,856 discount.
The price gap between landlords and homeowners has fluctuated significantly, from a high of 66.2% in Q1 to a low of 47.3% in Q2, before widening again in Q4. This indicates a volatile pricing advantage for investors.
Current Quarter Purchases
Landlords acquired a major 42.5% share of all homes sold in Q4 2025.
Small 'mom-and-pop' investors drove this activity, accounting for 53.8% of all landlord purchases, while institutional investors made zero acquisitions. The market saw 33 new single-property landlords enter in Q4.
Ownership by Tier
'Mom-and-pop' investors overwhelmingly control 90.8% of Union County's investor-owned housing.
Institutional investors have a negligible presence, owning just 0.1% of the market (5 properties). Single-property landlords are the largest group, holding 2,281 properties, or 65.9% of the total investor portfolio.
Ownership by Tier & Type
Individuals dominate small portfolios, but companies take majority ownership starting at the 6-10 property tier.
An unusual pattern emerges in larger tiers, where individual ownership resurges to 93.3% in the 51-100 property tier. Companies assert their strongest control in the 11-20 property tier, owning 96.6% of homes.
Geographic Distribution
Investor activity is highly concentrated, with the 71730 zip code holding 2,467 properties.
While 71730 has the highest volume, the 71747 zip code has the highest penetration rate, with 50.1% of its homes being investor-owned. The top 5 zip codes by count hold 3,050 properties combined.
Historical Transactions
Landlords in Union County are aggressive net buyers, acquiring 4.68 homes for every one they sold in Q4.
This strong buying trend has been consistent, with landlords remaining net buyers throughout 2024 and 2025. In contrast, institutional investors have been net sellers, divesting more properties than they acquired over the past two years.
Current Quarter Transactions
Investors were involved in 35.5% of all Union County property transactions in Q4 2025.
Two-property landlords sourced a majority (57.1%) of their new acquisitions from other landlords. Pricing strategies vary widely, with the 6-10 property tier paying the most ($130,000) and the 51-100 tier paying the least ($15,000).

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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 3,303 SFRs in Union County, with individuals holding a dominant 79.5%.
Detailed Findings

In Union County, investors hold a significant 29.0% of the single-family residential market, totaling 3,303 properties. This highlights a substantial investor presence within the local housing landscape.

The investor market is overwhelmingly powered by individual 'mom-and-pop' landlords, who own 2,625 properties, accounting for 79.5% of all investor-owned SFRs. In contrast, company-owned portfolios make up the remaining 25.0% with 825 properties.

This individual dominance is also reflected in entity counts, where 2,788 individual landlords far outnumber the 479 company landlords, a ratio of nearly 6 to 1. This structure indicates a highly fragmented market driven by small-scale participants rather than large corporations.

A strong preference for cash financing is evident, as 2,819 properties (85.3% of the portfolio) are owned without a mortgage, compared to only 484 financed properties. This suggests investors in the area have high liquidity and prefer to minimize debt exposure.

The portfolio is heavily geared towards rental income, with 3,185 properties (96.4%) classified as non-owner-occupied. This near-total focus on rentals underscores the primary business objective of investors in the Union County market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Union County landlords paid 57.4% less than homeowners in Q4, a staggering $128,856 discount.
Detailed Findings

Investors in Union County demonstrate a remarkable ability to acquire properties at a deep discount. In Q4 2025, landlords paid an average of just $95,582, which is 57.4% less than the $224,438 paid by traditional homeowners—a massive price gap of $128,856 per property.

This pricing advantage has been a consistent, albeit fluctuating, feature of the market throughout 2025. The discount peaked in Q1 at 66.2% ($148,765), narrowed to 47.3% ($105,214) in Q2, and has since widened again, suggesting investors are adept at capitalizing on market inefficiencies.

The consistent deep discounts imply that landlords are not competing for the same turn-key properties as traditional homebuyers. Instead, they are likely targeting distressed properties, off-market deals, or homes requiring significant renovation, allowing them to enter the market at a much lower price point.

Comparing recent prices to historical data shows a trend of price moderation for investors. The average landlord acquisition price in 2025 ($100,801) is lower than both 2024 ($118,594) and the 2020-2023 period ($102,349), signaling a cooling in the segment of the market where investors are most active.

This sustained ability to purchase well below the typical homeowner price is a key driver of investor profitability, enabling lower capital entry and potentially higher rental yields or resale margins in the Union County market.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired a major 42.5% share of all homes sold in Q4 2025.
Detailed Findings

Investor activity surged in Union County during Q4 2025, with landlords purchasing 76 of the 179 single-family homes sold. This represents a commanding 42.5% market share, indicating that nearly half of all residential sales involved an investor.

The purchasing landscape was dominated by smaller investors. 'Mom-and-pop' landlords (owning 1-10 properties) were responsible for 53.8% of all investor acquisitions, totaling 42 properties. In stark contrast, institutional investors (1000+ properties) made no purchases, highlighting their absence from the local market.

A significant influx of new investors was observed, with 33 new entities purchasing their very first rental property. This group alone accounted for 26 properties, representing 33.3% of all landlord acquisitions and signaling strong grassroots interest in the local rental market.

Interestingly, the most active tier by property count was the small-medium group (11-20 properties), which acquired 29 properties (37.2% of the total). This suggests that established local investors are actively expanding their portfolios at a faster rate than new entrants.

The complete lack of institutional buying, combined with the high volume of acquisitions from new and small-scale landlords, paints a picture of a localized, fragmented market driven by individual capital and entrepreneurial activity rather than large-scale corporate investment.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
'Mom-and-pop' investors overwhelmingly control 90.8% of Union County's investor-owned housing.
Detailed Findings

The ownership structure in Union County is unequivocally dominated by small-scale investors. 'Mom-and-pop' landlords, who own between 1 and 10 properties, control a massive 90.8% of all investor-owned single-family homes.

First-time or single-property landlords (Tier 01) form the bedrock of this market, single-handedly owning 2,281 properties. This represents 65.9% of the entire investor portfolio, underscoring the market's reliance on small, individual participants.

In stark contrast to national narratives, institutional investors (Tier 09, 1000+ properties) have a virtually nonexistent footprint in Union County. Their portfolio consists of just 5 properties, translating to a mere 0.1% market share, confirming their irrelevance to the local housing dynamics.

The ownership concentration rapidly diminishes in larger tiers. Mid-size landlords (11-100 properties) collectively own only 8.9% of the properties, further reinforcing the highly fragmented nature of the market.

This distribution pattern reveals a market characterized by broad-based, small-scale ownership rather than consolidation by large corporate entities. The local rental housing supply is therefore maintained by thousands of individual community members, not a handful of large firms.

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
Individuals dominate small portfolios, but companies take majority ownership starting at the 6-10 property tier.
Detailed Findings

A clear pattern emerges in ownership structure as portfolios grow: individual investors dominate the entry-level tiers, while companies control the mid-size segments. Individuals own a commanding 86.3% of single-property portfolios and 78.8% of two-property portfolios.

The transition to corporate ownership occurs in the 6-10 property tier, where companies first gain a majority stake, controlling 54.1% of the properties. This suggests that as investors scale, they tend to formalize their operations under a corporate entity for liability and financial reasons.

Company dominance is most pronounced in the 11-20 property tier, where they own an overwhelming 96.6% of the housing stock. This tier appears to be the sweet spot for professionalized, yet still local, investment companies.

However, the trend reverses in a surprising anomaly within the 51-100 property tier, where individual ownership surges back to a 93.3% majority. This could indicate the presence of a few high-net-worth individuals who manage large portfolios personally rather than through a formal company structure.

This bifurcation highlights two distinct investor paths in Union County: the small-scale individual landlord and the structured, mid-size investment company, with an interesting outlier of wealthy individual investors in the upper-middle tiers.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 71730 zip code holding 2,467 properties.
Detailed Findings

Investor ownership in Union County is heavily concentrated in specific geographic pockets. The 71730 zip code (El Dorado) is the undisputed hub of activity, containing 2,467 investor-owned properties, which accounts for nearly 75% of the county's entire investor portfolio.

A distinction exists between areas with the highest property counts and those with the highest ownership rates. While 71730 leads by volume, its investor ownership rate is 27.3%. In contrast, the much smaller 71747 zip code (Huttig) has the highest market penetration, where investors own 50.1% of all single-family homes.

This divergence indicates different market dynamics. 71730 represents a large, liquid market with substantial investor interest, while areas like 71747 and 71724 (45.6% rate) represent smaller communities where rental properties constitute a much larger portion of the local housing stock.

The top five zip codes by investor property count collectively hold 3,050 properties, demonstrating a significant geographic consolidation. Investors appear to be focusing their capital on a few key areas within the county.

The data reveals that understanding investor impact requires looking beyond just raw numbers. While El Dorado (71730) is the center of mass for investor capital, smaller surrounding communities have a far higher density of rental housing relative to their size.

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 in Union County are aggressive net buyers, acquiring 4.68 homes for every one they sold in Q4.
Detailed Findings

Landlords in Union County have consistently been in a strong accumulation phase, acting as decisive net buyers. In Q4 2025, they purchased 89 properties while selling only 19, a buy-to-sell ratio of nearly 4.7-to-1, demonstrating a bullish outlook on the local market.

This net buying behavior is a long-term trend, not a recent phenomenon. For the full year of 2025, landlords acquired 249 properties and sold 63, and in 2024, they bought 213 while selling just 32, reinforcing their role as a primary source of demand in the housing market.

A sharp divergence in strategy is evident when comparing the overall market to institutional investors. While the market as a whole is buying, the 1000+ tier has been divesting, acting as net sellers in 2024 (1 buy vs. 4 sells) and remaining neutral in 2025 (4 buys vs. 4 sells).

This opposing behavior suggests that large-scale institutional capital is retreating from Union County, while local and regional landlords are confidently expanding their portfolios and absorbing available inventory.

The transaction data clearly indicates that the growth in investor ownership is being fueled by smaller, more localized players who are actively increasing their holdings, while the largest national players are reducing their exposure.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Investors were involved in 35.5% of all Union County property transactions in Q4 2025.
Detailed Findings

Landlords played a central role in the Q4 2025 market, participating in 89 of the 251 total SFR transactions, which constitutes a significant 35.5% share of all market activity.

Small 'mom-and-pop' investors drove this activity, conducting 51 transactions, while institutional investors were completely inactive. New, single-property landlords were the most active group with 33 transactions.

A fascinating pattern emerges in sourcing deals. Two-property landlords (Tier 02) showed a heavy reliance on the existing investor network, acquiring 57.1% of their properties from other landlords. In contrast, new landlords (Tier 01) sourced only 9.1% of their deals from other investors, suggesting they are more likely buying from homeowners.

Acquisition pricing varies dramatically by tier and does not follow a linear scale. Landlords in the 6-10 property tier paid the highest average price at $130,000, while the 51-100 tier paid the lowest at just $15,000, indicating highly specialized acquisition strategies targeting different property types or conditions.

The data suggests a dynamic internal market where smaller, established landlords trade properties among themselves, while new entrants are more likely to purchase from the broader public market, often at a lower price point ($91,518 for Tier 01).

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small, local landlords dominate Union County with 90.8% ownership, acquiring homes at a 57% discount as institutions exit.
Holdings
In Union County, AR, landlords own 3,303 SFR properties, representing 29.0% of the market. Individual investors hold a commanding 2,625 of these properties (79.5%), compared to 825 (25.0%) owned by companies.
Pricing
Landlords demonstrated significant pricing power in Q4, paying an average of $95,582 per property—a 57.4% discount compared to the $224,438 paid by traditional homeowners, saving $128,856 on each purchase.
Activity
Investor demand was robust in Q4, with landlords acquiring 42.5% of all homes sold (76 properties). The market also saw an influx of new participants, with 33 new single-property landlords making their first purchase.
Market Share
The market is overwhelmingly controlled by small investors, with 'mom-and-pop' landlords (1-10 properties) owning 90.8% of all investor-held SFRs. In contrast, institutional investors (1000+ properties) have a negligible footprint, owning just 0.1%.
Ownership Type
While individual investors form the backbone of the market, companies become the majority owners in portfolios of 6-10 properties. This signals a trend toward incorporation as investors scale their operations in Union County.
Transactions
Landlords are aggressively expanding, acting as strong net buyers with a 4.68-to-1 buy-to-sell ratio in Q4 (89 buys vs. 19 sells). This contrasts sharply with institutional investors, who have been net sellers over the past two years.
Market Narrative

The single-family rental market in Union County, AR is characterized by deep local ownership and high investor penetration. Investors control 3,303 properties, or 29.0% of the total SFR housing stock. This market is not driven by large corporations; instead, 'mom-and-pop' landlords (1-10 properties) own a commanding 90.8% of these homes. Individual investors make up the vast majority of the landscape, holding 79.5% of the portfolio, while institutional firms have a nearly nonexistent presence at just 0.1%.

Investor behavior in Q4 was defined by aggressive acquisition at significant discounts. Landlords purchased 42.5% of all homes sold, paying an average of 57.4% less than traditional homeowners. This purchasing is part of a larger accumulation trend, with landlords acting as strong net buyers (a 4.7-to-1 buy/sell ratio in Q4), while the few institutional players in the market have been net sellers. This activity is fueled by new entrants, with 33 first-time landlords joining the market in the last quarter alone.

The key takeaway for the Union County housing market is that it operates as a highly localized and fragmented ecosystem, dominated by small, individual investors who are expanding their holdings. These investors are adept at finding undervalued properties, creating a distinct price tier well below the primary homeowner market. The narrative of corporate takeover does not apply here; rather, the rental housing supply is firmly in the hands of community-based landlords who are actively growing their portfolios as large institutions retreat.

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.

TierPropertiesCategory
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 GeneratedMarch 10, 2026 at 01:05 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyUnion (AR)
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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