Orange (IN) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Orange (IN)
4,789
Total Investors in Orange (IN)
711
Investor Owned SFR in Orange (IN)
643(13.4%)
Individual Landlords
Landlords
595
SFR Owned
479
Corporate Landlords
Landlords
116
SFR Owned
167
Understanding Property Counts

Distinct Count Methodology: The total 643 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 Dominate Orange County's SFR Market, Controlling 96% of Rentals
Investors own 643 Single-Family Residential properties in Orange County, representing 13.4% of the market. This landscape is overwhelmingly controlled by small 'mom-and-pop' landlords (1-10 properties), who own 95.7% of the investor-held portfolio, while institutional investors hold a mere 0.6%. In Q1 2026, landlords were net buyers, though they participated in only 7.4% of transactions and, contrary to typical trends, paid a 16.2% premium over traditional homeowners.
Landlord Owned Current Holdings
Investors hold 643 SFR properties, with individuals owning 74.5% of the portfolio.
Cash is the dominant financing method, used for 572 properties compared to just 71 with financing. A total of 617 properties are classified as rentals, accounting for 96.0% of the entire investor-owned portfolio, signaling a strong focus on rental income.
Landlord vs Traditional Homeowners
In a surprising Q1 2026 reversal, landlords paid 16.2% more than homeowners.
This Q1 premium of $27,833 ($199,836 vs $172,003) marks a stark contrast to Q3 2025, when landlords secured a 41.7% discount. This high volatility in pricing suggests a market with very low transaction volumes, where individual deals can heavily skew quarterly averages.
Current Quarter Purchases
Landlords accounted for 8.1% of all SFR purchases in Q4 2025, with no institutional activity.
Mom-and-pop landlords (1-10 properties) made up 100% of investor purchase activity, acquiring all 5 properties. The market saw 5 new entities enter, acquiring 4 properties in the single-property tier, signaling fresh small-scale investor interest.
Ownership by Tier
Mom-and-pop investors own a commanding 95.7% of Orange County's investor-held SFRs.
In stark contrast, institutional investors with over 1,000 properties control just 0.6% of the portfolio, or 4 homes. Single-property landlords alone make up the largest segment, holding 441 properties, which is 67.1% of all investor-owned housing.
Ownership by Tier & Type
Individuals dominate smaller portfolios, but companies become the majority owners at the 6-10 property tier.
In the 6-10 property tier, companies own 66.7% of the homes. This trend continues into the large tier (101-1000 properties), where corporate ownership reaches 80.0%. Individuals, however, constitute 85.1% of all single-property landlords.
Geographic Distribution
Investor activity is concentrated in five zip codes, led by 47454 with 238 properties.
While 47454 has the highest count, smaller zip codes show extreme ownership rates. Zip code 47527 is 100% investor-owned, and 47175 has a 37.5% investor ownership rate, highlighting pockets of intense investor penetration.
Historical Transactions
Landlords in Orange County are consistent net buyers, acquiring 4.9 properties for every 1 sold in 2025.
This trend of accumulation continued into Q1 2026, with 6 buys versus 4 sells. Even institutional investors, though small-scale, are net buyers, acquiring 6 properties and selling 3 in 2025.
Current Quarter Transactions
Landlords were involved in 7.4% of all Q1 2026 transactions, acquiring 6 properties.
All 6 transactions were made by mom-and-pop investors, with zero properties sourced from other landlords. The active single-property tier paid an average purchase price of $199,836 during the quarter.

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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 hold 643 SFR properties, with individuals owning 74.5% of the portfolio.
Detailed Findings

In Orange County, investors hold 643 Single-Family Residential (SFR) properties, which constitutes 13.4% of the total 4,789 SFRs in the market. This reflects a significant, yet not dominant, investor presence in the local housing ecosystem.

The ownership structure is heavily skewed towards individuals over corporations. Individual investors own 479 properties, making up 74.5% of the investor portfolio, while companies own the remaining 167 properties (26.0%). This pattern extends to the landlords themselves, with 595 individual landlords compared to 116 company entities.

A striking financial characteristic of this market is the preference for cash transactions. An overwhelming 572 properties (89.0%) in the investor portfolio are owned outright without financing, compared to only 71 that are financed. This indicates a well-capitalized investor base that does not rely heavily on leverage.

The portfolio is almost entirely dedicated to rental purposes. Of the 643 investor-owned homes, 617 are classified as rented properties. This 96.0% rental rate underscores that the primary strategy for real estate investing in Orange County is generating rental income, not speculative flipping or other uses.

When comparing owner types, both individuals and companies demonstrate a strong preference for cash holdings and maintaining rental properties. This uniform strategy across both segments points to a mature rental market with established operational norms.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In a surprising Q1 2026 reversal, landlords paid 16.2% more than homeowners.
Detailed Findings

In Q1 2026, investor purchasing behavior in Orange County defied typical market trends, with landlords paying an average price of $199,836, a significant 16.2% premium over the $172,003 paid by traditional homeowners. This amounted to investors paying $27,833 more per property.

This pricing premium represents a dramatic reversal from previous quarters, highlighting market volatility. For instance, in Q3 2025, landlords acquired properties at an average of $148,645, enjoying a substantial 41.7% discount compared to homeowners who paid $255,016. The swing from a deep discount to a notable premium suggests that low transaction volumes can cause significant quarterly fluctuations.

The pricing disparity reached an extreme in Q1 2025, where the data shows landlords paying a 162.2% premium ($495,504 vs. $189,001). Such a massive outlier, likely driven by a single high-value transaction, further underscores the low-volume, high-variability nature of the Orange County investor market.

Historical data shows a clear trend of price appreciation overall. The average acquisition price during the 2020-2023 period was just $87,004. Prices climbed to an average of $208,468 in 2024, indicating a sharp increase in property values post-pandemic.

The inconsistent price gap between landlords and homeowners suggests that there is no established, systemic discount for investors in this market. Instead, pricing appears to be highly dependent on the specific properties transacted in any given quarter rather than a consistent strategic advantage for either buyer type.

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 accounted for 8.1% of all SFR purchases in Q4 2025, with no institutional activity.
Detailed Findings

Investor activity in Q4 2025 represented a small fraction of the overall market in Orange County. Landlords purchased just 5 of the 62 total SFRs sold, capturing an 8.1% market share for the quarter.

The quarter's acquisition activity was exclusively driven by small-scale investors. Mom-and-pop landlords (portfolios of 1-10 properties) accounted for 100% of these purchases, with institutional investors (1,000+ properties) making no acquisitions at all.

New entrants were a key component of Q4 activity. The single-property tier saw 5 new landlord entities acquire 4 properties, which comprised 80.0% of all investor purchases. This indicates that the market continues to attract new, first-time landlords.

The remaining investor activity came from the small landlord tier (3-5 properties), where one entity purchased a single property, accounting for 20.0% of the quarterly investor total.

The complete absence of purchasing by mid-size or institutional tiers highlights a market dominated by localized, small-scale capital. The investment landscape is characterized by gradual accumulation from individuals rather than large-scale portfolio acquisitions by corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop investors own a commanding 95.7% of Orange County's investor-held SFRs.
Detailed Findings

The distribution of property ownership among investors in Orange County is overwhelmingly concentrated in the hands of small landlords. Mom-and-pop investors, defined as those owning 1-10 properties (Tiers 01-04), collectively control 95.7% of all investor-owned SFRs.

Single-property landlords (Tier 01) form the bedrock of the market, owning 441 properties. This single tier accounts for 67.1% of the entire investor portfolio, demonstrating that the typical Orange County landlord owns just one rental home.

In sharp contrast, institutional investors (Tier 09, 1,000+ properties) have a negligible footprint in the county. Their entire portfolio consists of just 4 properties, representing a mere 0.6% of the investor-owned market, a figure that challenges any narrative of a corporate takeover of local housing.

Mid-size investors (11-1,000 properties) also have a very limited presence. These tiers combined own only 24 properties, or 3.7% of the total. This reinforces the market's highly fragmented structure, with very few operators scaling beyond the 10-property mark.

This ownership structure indicates a market characterized by high accessibility for individual investors and a lack of scale that might attract larger, institutional capital. The data points to a stable, community-based rental market rather than one dominated by large, remote corporate landlords.

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 smaller portfolios, but companies become the majority owners at the 6-10 property tier.
Detailed Findings

Ownership structure in Orange County shows a clear divergence between individuals and companies as portfolio sizes increase. While individuals form the vast majority of small-scale landlords, companies take a dominant role in larger portfolios.

For single-property landlords, individuals are the primary owner type, holding 378 of the 441 properties in this tier (85.1%). This individual dominance continues through the 2-property (66.7% individual) and 3-5 property (69.5% individual) tiers.

The crossover point occurs in the 6-10 property tier. At this level of scale, companies become the majority, owning 32 properties (66.7%) compared to the 16 owned by individuals (33.3%). This suggests that as portfolios grow, investors are more likely to incorporate for liability and operational purposes.

This trend of corporate dominance is even more pronounced in the larger tiers. For landlords owning 101-1,000 properties, companies own 8 homes, representing 80.0% of the properties in that segment.

The data clearly illustrates two distinct investor paths in Orange County: the individual who typically owns 1-5 rental properties, and the more professionalized, company-based operator who begins to emerge and dominate as portfolios scale beyond six properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in five zip codes, led by 47454 with 238 properties.
Detailed Findings

Investor ownership in Orange County is highly concentrated geographically. The top five zip codes by property count hold 625 of the 643 total investor-owned properties, accounting for 97.2% of the entire portfolio.

The zip code 47454 is the epicenter of investor activity, with 238 investor-owned properties. It is followed by 47432 (163 properties), 47452 (124 properties), 47469 (62 properties), and 47125 (18 properties).

Analysis of ownership rates reveals a different story, pointing to smaller areas with intense investor saturation. The zip code 47527 stands out with a 100.0% investor ownership rate, suggesting it may be a small area with specialized rental housing. Other high-penetration areas include 47175 (37.5%) and 47118 (27.0%).

There is a notable difference between the leaders in raw count versus ownership percentage. The area with the highest count, 47454, has a relatively moderate investor ownership rate of 12.9%. This indicates that while it's a popular area for investors, it also has a large base of traditional homeowners.

This geographic distribution pattern suggests investors are targeting specific neighborhoods or communities within the county. The high concentration in these few zip codes provides a clear map of where rental housing is most prevalent in Orange County.

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 Orange County are consistent net buyers, acquiring 4.9 properties for every 1 sold in 2025.
Detailed Findings

Historical transaction data reveals that landlords in Orange County are in a phase of portfolio accumulation, consistently buying more properties than they sell. In 2025, landlords purchased 59 SFRs while selling only 12, resulting in a strong net gain of 47 properties and a buy-to-sell ratio of 4.9x.

This net buying activity has been consistent over time. In 2024, landlords added a net 38 properties to their portfolios (53 buys vs. 15 sells). The trend continued into the most recent quarter, Q1 2026, with 6 properties purchased and 4 sold.

Even the small institutional investor segment (1,000+ properties) is in growth mode. In 2025, these large landlords were net buyers, acquiring 6 properties while only selling 3. This pattern, though small in volume, aligns with the broader market trend of portfolio expansion.

The sustained net positive acquisition trend across multiple years and investor types signals strong confidence in the Orange County rental market. Investors are clearly focused on long-term holds and portfolio growth rather than short-term selling or market exits.

This behavior suggests that the local rental housing supply controlled by investors is actively expanding, which has implications for both housing availability for traditional buyers and the supply of rental units for tenants.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 7.4% of all Q1 2026 transactions, acquiring 6 properties.
Detailed Findings

In Q1 2026, landlord transactions constituted a minor portion of the overall housing market activity in Orange County. Of the 81 total SFR transactions, only 6 involved a landlord buyer, representing a 7.4% market share.

Acquisition activity was confined entirely to small-scale investors. The single-property tier was the most active, responsible for 5 of the 6 transactions (83.3%). The remaining transaction was executed by an investor in the 3-5 property tier.

The average purchase price for the most active segment, single-property landlords, was $199,836 in Q1. There was no purchasing activity from institutional investors, so no price comparison can be made with larger tiers for the quarter.

Notably, 0% of landlord purchases in Q1 were sourced from other landlords. This indicates that investors are acquiring their properties from the open market, likely competing directly with traditional homebuyers, rather than participating in an internal, investor-to-investor market.

The low transaction volume combined with the concentration in the smallest tiers reinforces the image of a fragmented market. Growth is happening incrementally, driven by new or small existing landlords buying one property at a time from the general housing stock.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Orange County's rental market is defined by small, local landlords, who own 96% of investor properties while institutions remain absent.
Holdings
Landlords own 643 SFR properties, representing 13.4% of Orange County's market. Individual investors hold the vast majority with 479 properties (74.5%), compared to 167 (26.0%) owned by companies.
Pricing
In a notable Q1 2026 shift, landlords paid a 16.2% premium over homeowners, with an average price of $199,836 versus $172,003, reversing a prior-quarter trend of securing discounts.
Activity
Investor purchasing was modest in Q1 2026, with landlords acquiring 6 homes, or 7.4% of all sales. This activity was driven entirely by mom-and-pop investors, including 5 new entities entering the market.
Market Share
The market is overwhelmingly dominated by small investors, as mom-and-pop landlords (1-10 properties) control 95.7% of investor housing. In contrast, institutional landlords (1000+) own just 0.6%.
Ownership Type
Individual investors are the primary force in smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and expand their share to 80.0% in larger tiers.
Transactions
Investors in Orange County are firmly in an accumulation phase, acting as net buyers with 6 buys versus 4 sells in Q1 2026. Even the small institutional segment is a net buyer, signaling confidence across the board.
Market Narrative

The single-family rental market in Orange County, Indiana, is fundamentally local and highly fragmented, defying the national narrative of corporate consolidation. Investors own 643 SFR properties, making up 13.4% of the county's total SFR housing stock. The ownership landscape is dominated by individuals, who hold 74.5% of these properties. The most defining characteristic is the control held by 'mom-and-pop' landlords (1-10 properties), who own a staggering 95.7% of the investor portfolio, while institutional firms (1,000+ properties) have a nearly non-existent share of just 0.6%.

Investor behavior in early 2026 points to continued, albeit slow, growth. In Q1, landlords were net buyers, though they participated in only 7.4% of total home sales. A surprising pricing trend emerged, with investors paying a 16.2% premium over traditional homeowners, a sharp reversal from discounts seen in prior quarters, suggesting a volatile, low-volume market. All purchasing activity was driven by small investors, who sourced 100% of their new properties from the open market rather than from other landlords, placing them in direct competition with primary homebuyers.

The key takeaway from this investor pulse report is that Orange County's housing market is not being reshaped by Wall Street but is instead supported by a large base of small, local investors. These landlords are well-capitalized, favoring cash purchases, and are consistently expanding their portfolios. The market structure indicates that future growth will likely continue to be incremental, driven by individuals entering the market or slowly scaling their holdings, maintaining the current community-focused character of the rental landscape.

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 21, 2026 at 04:48 PM
Data Period Q1 2026
Geography Level County
Geography Orange (IN)
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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 Orange (IN) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-in-orange/. Licensed under CC BY-NC-ND 4.0.