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

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

Market Overview

Total SFR Properties in Orange (VT)
10,125
Total Investors in Orange (VT)
2,377
Investor Owned SFR in Orange (VT)
1,702(16.8%)
Individual Landlords
Landlords
1,998
SFR Owned
1,417
Corporate Landlords
Landlords
379
SFR Owned
348
Understanding Property Counts

Distinct Count Methodology: The total 1,702 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 Orange County's Market, Controlling 99.7% of Investor-Owned Homes
Investors own 1,702 SFR properties in Orange County (16.8% of the market), with small, individual landlords controlling nearly the entire portfolio (99.7%). In Q1, landlords remained aggressive net buyers with a 12.5x buy-to-sell ratio, purchasing properties at an 8.3% discount compared to traditional homeowners. Institutional investors have a negligible presence, owning just 0.1% of the local inventory.
Landlord Owned Current Holdings
Investors own 1,702 properties in Orange County, with individual landlords holding 83.3% of the portfolio.
The portfolio is entirely cash-based, with 0 properties recorded as financed. Of these holdings, 1,692 (99.4%) are classified as rented, confirming a strong focus on rental income.
Landlord vs Traditional Homeowners
Landlords paid 8.3% less than homeowners in Q1, securing an average discount of $28,990 per property.
The landlord discount is highly volatile, ranging from a 33.5% discount in Q1 2025 to a 10.5% premium in Q2 2025. The Q1 average landlord price of $318,637 is a significant increase from the 2020-2023 average of $255,103.
Current Quarter Purchases
Landlords acquired 28.8% of all SFR properties sold in Q4 2025, purchasing a total of 17 homes.
Small 'mom-and-pop' investors drove 100% of this activity, with 17 new single-property landlords entering the market. Institutional investors with over 1,000 properties made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a staggering 99.7% of investor-owned homes in Orange County.
The single-property landlord tier alone accounts for 90.2% of all investor-owned SFRs. In stark contrast, institutional investors (1000+ properties) own just 0.1% of the portfolio.
Ownership by Tier & Type
Individuals own the vast majority of properties in the smallest tiers, holding 81.8% in the single-property tier.
Company ownership share increases in the two-property tier, capturing 37.1% of homes compared to just 18.2% in the single-property tier. The data does not show a tier where companies become the majority owner.
Geographic Distribution
Investor activity is concentrated in zip code 05051, which leads with 229 properties and the highest ownership rate at 36.6%.
The top five zip codes by count hold a combined 816 investor-owned properties. Three zip codes have investor ownership rates exceeding 30%: 05051 (36.6%), 05083 (34.5%), and 05076 (31.2%).
Historical Transactions
Landlords are aggressive net buyers, acquiring 25 properties while selling only 2 in Q1 2026, a 12.5-to-1 buy-to-sell ratio.
This strong accumulation trend is consistent, following a 19.5x buy-to-sell ratio in 2025 (117 buys vs 6 sells) and an 18.2x ratio in 2024 (109 buys vs 6 sells). No institutional transaction data was available for comparison.
Current Quarter Transactions
Landlords were involved in 29.1% of all Q1 property transactions, making 25 purchases.
First-time or single-property landlords dominated activity, accounting for 24 of the 25 investor transactions. These smaller buyers paid an average of $310,408, while the single Tier 2 buyer paid a much higher $475,000.

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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 1,702 properties in Orange County, with individual landlords holding 83.3% of the portfolio.
Detailed Findings

Investors hold a significant 16.8% share of the single-family residential market in Orange County, owning 1,702 out of 10,125 total SFR properties.

The ownership structure is overwhelmingly dominated by individual investors, not corporations. Individuals own 1,417 properties (83.3% of the portfolio), while companies own the remaining 348 (20.4%).

This individual dominance is even more pronounced when looking at entity counts, with 1,998 individual landlords compared to just 379 company landlords operating in the county.

A striking financial characteristic of this market is the complete absence of leverage. One hundred percent of the 1,702 investor-owned properties are held in cash, with zero financing reported, suggesting a market of well-capitalized or long-term holders.

The portfolio's purpose is clear, with 1,692 properties (99.4%) classified as rented. This near-total rental penetration underscores that these assets are primarily for generating rental income rather than short-term speculation.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 8.3% less than homeowners in Q1, securing an average discount of $28,990 per property.
Detailed Findings

In the first quarter of 2026, investors demonstrated a distinct pricing advantage, paying an average of $318,637 per property. This represents an 8.3% discount compared to the $347,627 paid by traditional homeowners, saving them $28,990 per acquisition.

However, this price gap is not consistent. In Q1 2025, landlords achieved a massive 33.5% discount ($127,579). In a surprising reversal, they paid a 10.5% premium over homeowners in Q2 2025, highlighting fluctuating market dynamics.

Acquisition prices have trended upward significantly since the pandemic era. The Q1 2026 average price of $318,637 for landlords marks a 24.9% increase over the average price of $255,103 seen between 2020 and 2023.

The quarterly data reveals substantial price swings, with the landlord acquisition price hitting a high of $383,412 in Q2 2025 and a low of $252,910 in Q1 2025, a difference of over $130,000 within a single year.

This pricing behavior suggests that investors are opportunistic, capitalizing on deep discounts when available but also willing to pay a premium for desirable properties in certain periods.

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

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords acquired 28.8% of all SFR properties sold in Q4 2025, purchasing a total of 17 homes.
Detailed Findings

Investors captured a significant portion of market activity in Q4 2025, purchasing 17 of the 59 total SFRs sold, which translates to a 28.8% market share.

The entirety of this purchasing activity was driven by 'mom-and-pop' landlords (those owning 1-10 properties), who accounted for 100% of investor acquisitions. Institutional investors were completely absent from the buying market.

The quarter saw an influx of new market participants. The single-property tier alone accounted for 17 properties acquired by 23 distinct entities, indicating a healthy pipeline of first-time landlords.

Activity was heavily concentrated at the entry-level of real estate investing. Landlords buying their first investment property made up 94.4% of all investor purchases (17 of 18 properties).

This pattern shows that market growth is fueled by small, independent investors rather than the expansion of large-scale corporate portfolios.

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 99.7% of investor-owned homes in Orange County.
Detailed Findings

The investor market in Orange County is unequivocally defined by small-scale ownership. Mom-and-pop landlords, who own between 1 and 10 properties, control 99.7% of the entire investor-held SFR inventory.

The backbone of the local rental market is the single-property landlord. This group (Tier 01) owns 1,570 homes, representing a massive 90.2% share of all investor-owned properties.

In contrast to national headlines about corporate landlords, institutional investors (Tier 09) have a negligible footprint in this county. They own just one property, which amounts to a mere 0.1% of the investor market share.

The data reveals a 'missing middle,' with very few mid-size investors. Landlords owning between 11 and 1,000 properties collectively account for less than 0.5% of the total investor portfolio.

This distribution highlights a highly fragmented and decentralized rental market, where ownership is spread across a large number of small, independent operators rather than being consolidated among a few large players.

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 own the vast majority of properties in the smallest tiers, holding 81.8% in the single-property tier.
Detailed Findings

Individual investors are the primary owners in the market's most populous tiers. They hold 81.8% of single-property portfolios (1,332 properties) and 82.9% of portfolios with 3-5 properties (63 properties).

While individuals maintain a strong majority, companies show a notable increase in market share as portfolio sizes grow. In the two-property tier, companies own 37.1% of homes, more than double their 18.2% share in the single-property tier.

Based on the available data for the most common tiers, there is no crossover point where company ownership surpasses individual ownership. Individuals maintain their dominant position across the small-portfolio landscape.

The property distribution reflects the entity structure. In the largest tier by property count (single-property), 1,332 homes are owned by individuals versus just 297 by companies.

This pattern indicates that while some investors choose to incorporate as they expand, the foundation of the market remains with private, individual owners.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in zip code 05051, which leads with 229 properties and the highest ownership rate at 36.6%.
Detailed Findings

Zip code 05051 is the undisputed epicenter of investor activity in Orange County, ranking first for both the total number of investor-owned properties (229) and the highest ownership rate (36.6%).

Significant geographic concentration exists, with the top three zip codes by volume, 05051 (229 properties), 05045 (161 properties), and 05033 (156 properties), collectively accounting for 546 investor-owned homes, nearly a third of the county's total.

Several areas demonstrate deep investor penetration. Beyond 05051, zip codes 05083 (34.5%) and 05076 (31.2%) also feature investor ownership rates above 30%, signaling highly active rental markets.

There is a notable divergence between the leaders in raw count versus ownership percentage. For example, zip code 05060 ranks fourth for total count with 132 properties but has a relatively modest 10.0% ownership rate, indicating it is a larger market overall.

This analysis reveals that investment strategies may differ by area, with some zip codes attracting a high volume of investors and others showing a higher density of rental properties relative to the total housing stock.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Key Insight
Landlords are aggressive net buyers, acquiring 25 properties while selling only 2 in Q1 2026, a 12.5-to-1 buy-to-sell ratio.
Detailed Findings

Landlords in Orange County are firmly in an accumulation phase, as evidenced by their transaction behavior in Q1 2026. They purchased 25 properties while selling only 2, resulting in a net gain of 23 properties for the investor pool.

This aggressive net-buyer stance is a consistent, multi-year trend. In 2025, investors posted a 19.5-to-1 buy/sell ratio (117 buys to 6 sells), and in 2024, the ratio was 18.2-to-1 (109 buys to 6 sells).

The consistently low number of sales suggests investors are employing a long-term, buy-and-hold strategy. The low portfolio turnover indicates a focus on stable rental income over short-term capital gains from flipping.

The 25 acquisitions in Q1 2026 represent a strong start to the year, putting the market on a pace to potentially exceed the high purchase volumes seen in the previous two years.

Without comparative data for institutional investors, the overall market trend is overwhelmingly driven by smaller landlords who continue to expand their portfolios and display strong confidence in the local market.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 29.1% of all Q1 property transactions, making 25 purchases.
Detailed Findings

Investors played a major role in the Q1 market, participating in 29.1% of all transactions. Their 25 purchases out of a total of 86 sales demonstrate their significant influence on local housing demand.

Activity was almost exclusively driven by entry-level investors. The single-property tier (Tier 01) was responsible for 24 of the 25 landlord transactions, highlighting the continuous entry of new participants into the rental market.

A notable price difference emerged between tiers. Tier 01 investors paid an average of $310,408, whereas the lone Tier 02 buyer paid $475,000 for their property, a 53% premium that suggests a different acquisition strategy or property type.

Inter-landlord trading activity remains low, indicating that investors are primarily sourcing properties from the open market rather than from each other. Only 4.2% of purchases by single-property landlords (1 out of 24) came from another landlord.

This transaction profile confirms that the market's momentum is fueled by new capital from small investors, who are expanding the overall investor-owned portfolio by acquiring properties from traditional homeowners.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop investors dominate Orange County with 99.7% ownership, actively buying at an 8.3% discount.
Holdings
Landlords own 1,702 SFR properties, representing 16.8% of the Orange County market. The portfolio is overwhelmingly held by individual investors (83.3%) over companies (20.4%).
Pricing
In Q1, landlords paid an average of $318,637, which is 8.3% less than traditional homeowners ($347,627), securing a discount of $28,990 per property.
Activity
Landlords purchased 28.8% of homes sold in the most recent quarter, with activity driven entirely by mom-and-pop investors as 17 new single-property landlords entered the market.
Market Share
Small landlords (1-10 properties) have near-total control of the market with a 99.7% share, while institutional investors (1000+ properties) hold a negligible 0.1%.
Ownership Type
Individual investors are the dominant force across all small portfolio tiers, holding 81.8% of single-property rentals. No data indicates a crossover point where companies become the majority.
Transactions
Investors are strong net buyers with a 12.5-to-1 buy/sell ratio in Q1 (25 buys vs. 2 sells). Data on institutional transactions was not available, confirming mom-and-pops drive market trends.
Market Narrative

In Orange County, VT, the single-family rental market is fundamentally shaped by small, independent operators, not large corporations. Investors own 1,702 properties, constituting 16.8% of the total SFR housing stock. This portfolio is firmly in the hands of 'mom-and-pop' landlords (1-10 properties), who control a staggering 99.7% of all investor-owned homes. Individual investors make up the vast majority of these owners, holding 83.3% of properties compared to 20.4% for companies. Institutional investors with over 1,000 properties have a nearly non-existent footprint, owning just 0.1% of the inventory.

Investor behavior in the county is characterized by strategic acquisitions and long-term holding. In Q1, landlords were highly active, purchasing 28.8% of all homes sold while securing an 8.3% price discount compared to traditional homeowners. This activity is fueled by new entrants, with 17 new single-property investors joining the market last quarter. Transaction data reveals a strong and consistent net-buyer position, with a 12.5-to-1 buy-to-sell ratio in Q1, indicating robust confidence and a strategy geared toward portfolio growth rather than speculative flipping. Furthermore, the entire portfolio is held in cash, signaling a well-capitalized and stable investor base.

The key takeaway from this market report is that Orange County's rental landscape is decentralized and dominated by local, small-scale investors. The narrative of institutional dominance does not apply here; instead, the market's health and growth are driven by the continuous entry and expansion of mom-and-pop landlords. This structure suggests a market with deep community ties, where investment strategies are likely focused on long-term value and stable rental operations, contributing a significant portion of the area's housing supply.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 22, 2026 at 05:17 AM
Data Period Q1 2026
Geography Level County
Geography Orange (VT)
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Chart Section2 Coverage
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
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
Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Orange (VT) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-vt-orange/. Licensed under CC BY-NC-ND 4.0.