Monroe (NY) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Monroe (NY)
211,339
Total Investors in Monroe (NY)
28,178
Investor Owned SFR in Monroe (NY)
26,984(12.8%)
Individual Landlords
Landlords
24,958
SFR Owned
19,973
Corporate Landlords
Landlords
3,220
SFR Owned
7,342
Understanding Property Counts

Distinct Count Methodology: The total 26,984 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 Monroe County with 90% Ownership as Institutions Divest
Investors own 26,984 SFR properties in Monroe County, representing 12.8% of the total market. This ownership is overwhelmingly controlled by small 'mom-and-pop' landlords (90.3%), while institutional investors hold a negligible 0.0% and are actively selling. In Q1 2026, landlords were aggressive net buyers, acquiring 56.8% of all properties sold and securing a 9.8% price discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 26,984 SFR properties in Monroe County, with individuals holding 74.0%.
Of the investor-owned portfolio, 15,421 properties were acquired with cash, exceeding the 11,563 that are financed. The portfolio is heavily focused on rentals, with 26,536 properties classified as non-owner-occupied.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid $257,962 per property, a 9.8% discount from homeowners.
This marks a sharp reversal from 2025, where landlords consistently paid premiums, including a 7.8% premium in Q1 2025. The current $28,156 discount per property signals a significant shift in market dynamics, favoring investor purchasing power.
Current Quarter Purchases
Landlords dominated the Q1 market, purchasing 466 homes, or 58.8% of all sales.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 443 of the 466 investor purchases (94.7%). In stark contrast, institutional investors with 1000+ properties made zero acquisitions during the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 90.3% of all investor-owned SFRs.
In contrast, institutional investors with over 1,000 properties own just 3 homes, a negligible 0.0% of the market. The single-property tier alone accounts for 19,392 properties, representing a massive 70.8% of all investor holdings.
Ownership by Tier & Type
Companies become the majority owners at the 6-10 property tier, holding 77.3% of homes.
Individual investors overwhelmingly dominate smaller portfolios, owning 89.5% of single-property holdings. The crossover point where ownership is evenly split occurs in the 3-5 property tier, where individuals own 50.8% and companies own 49.2%.
Geographic Distribution
Investor activity is highly concentrated in Rochester zip codes like 14609, 14621, and 14611.
The highest investor ownership rates are found in different areas, with 14414 and 14604 both showing a 50.0% investor penetration. This highlights a key difference between areas with the highest volume and those with the highest market saturation.
Historical Transactions
Monroe County landlords are aggressive net buyers with a 7.05x buy-to-sell ratio in Q1 2026.
This trend is driven by small investors, as institutional landlords (1000+ tier) are consistent net sellers. In 2025, institutions sold 4.4 properties for every one they bought (22 sells vs 5 buys), actively reducing their local footprint.
Current Quarter Transactions
Investors were involved in 56.8% of all Monroe County home sales in Q1 2026.
First-time landlords (Tier 1) paid the highest average price at $279,285. In contrast, larger investors in the 101-1000 property tier paid significantly less, averaging just $94,037, revealing vastly different acquisition strategies.

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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 26,984 SFR properties in Monroe County, with individuals holding 74.0%.
Detailed Findings

In Monroe County, investors hold a significant portfolio of 26,984 Single-Family Residential (SFR) properties, which constitutes 12.8% of the total 211,339 SFRs in the market. This demonstrates a notable investor presence in the local housing landscape.

The ownership structure is heavily skewed towards individual investors, who own 19,973 properties, or 74.0% of the total investor portfolio. In contrast, company-owned entities hold 7,342 properties (27.2%), highlighting the market's reliance on smaller-scale real estate investing rather than large corporate landlords.

A breakdown of landlord entities further reinforces this pattern, with 24,958 individual landlords compared to just 3,220 company landlords. This 7.7-to-1 ratio of individuals to companies underscores the granular nature of property investment in the region.

Analysis of financing reveals that cash purchases are more common than financed ones. Investors hold 15,421 properties in cash, compared to 11,563 properties with financing, suggesting a well-capitalized investor base or a strategy of owning properties outright.

The portfolio is overwhelmingly geared towards generating rental income. A total of 26,536 investor-owned properties are rented, indicating that the vast majority of the 26,984 properties in the portfolio are actively used as rentals rather than being held for other purposes like short-term flips.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid $257,962 per property, a 9.8% discount from homeowners.
Detailed Findings

In a notable shift, investors in Monroe County secured a significant purchasing advantage in the first quarter of 2026. Landlords paid an average price of $257,962, which is 9.8% less than the $286,118 paid by traditional homeowners, resulting in a savings of $28,156 per property.

This trend represents a dramatic reversal from the previous year. Throughout 2025, investors consistently paid more than homeowners, posting premiums of 7.8% in Q1, 0.5% in Q2, and 2.9% in Q3. The return to a substantial discount in Q1 2026 suggests changing market conditions that favor investor negotiation power.

Despite the recent discount, acquisition prices remain significantly elevated compared to the pandemic era. The average price from 2020-2023 was $166,286, indicating that the current Q1 2026 price of $257,962 reflects a 55.1% appreciation over that period.

The market has seen fluctuating price levels over the last year. The average landlord acquisition price of $325,161 for the full year 2025 was higher than the 2024 average of $304,208, but the most recent quarter shows a cooling from the peak prices seen in mid-2025.

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 dominated the Q1 market, purchasing 466 homes, or 58.8% of all sales.
Detailed Findings

Investor activity surged in the first quarter, with landlords acquiring 466 of the 793 total SFR properties sold in Monroe County. This represents a commanding 58.8% market share, indicating that investors were the primary drivers of transaction volume.

The market's activity was almost entirely fueled by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 443 purchases, or 94.7% of all investor acquisitions. This highlights the critical role of local and small operators in the region's housing market.

A significant influx of new investors entered the market. The single-property tier saw 476 new entities acquire 380 properties, making up 81.2% of all investor-bought homes. This wave of new entrants signals strong confidence in Monroe County's rental market.

Mid-size landlords (11-1000 properties) played a much smaller role, collectively purchasing just 25 properties, or 5.3% of the investor total. This demonstrates a highly concentrated buying power at the smallest end of the investor spectrum.

Institutional investors (1000+ properties) were completely absent from the purchasing market, making zero acquisitions in the quarter. This inactivity stands in sharp contrast to the aggressive buying from mom-and-pop landlords and reinforces the narrative of a locally-driven investment scene.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 90.3% of all investor-owned SFRs.
Detailed Findings

The investor landscape in Monroe County is overwhelmingly dominated by small-scale 'mom-and-pop' landlords. Those owning 1-10 properties (Tiers 01-04) collectively hold 90.3% of all investor-owned SFRs, underscoring their foundational role in the local rental market.

The single-property landlord tier is the largest segment by a wide margin, with 19,392 properties representing 70.8% of the entire investor portfolio. This illustrates that the typical investor journey in the county begins and often remains with a single rental property.

Mid-size investors (11-1000 properties) hold a combined 9.7% of the investor-owned housing stock. This segment, while important, has a significantly smaller footprint compared to the massive base of small landlords.

Institutional ownership is virtually non-existent in Monroe County. Investors in the 1000+ property tier own a total of just 3 properties, accounting for 0.0% of the investor market. This data directly counters any narrative of large corporations controlling the local housing market.

The distribution clearly shows a highly fragmented market structure, with ownership spread across tens of thousands of small operators rather than concentrated in the hands of a few large players. This structure suggests a market characterized by local knowledge and individual investment decisions.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority owners at the 6-10 property tier, holding 77.3% of homes.
Detailed Findings

Ownership structure shifts dramatically as portfolio sizes increase in Monroe County. While individual investors form the backbone of the market, companies become the dominant owners in larger tiers, starting with the 6-10 property category where they own 904 properties (77.3%).

The transition from individual to corporate ownership begins in the 3-5 property tier. At this level, ownership is nearly split, with individuals holding a slight majority at 1,311 properties (50.8%) compared to companies' 1,268 properties (49.2%).

For the smallest portfolios, individual ownership is the standard. Individuals own 17,566 (89.5%) of the single-property holdings and 983 (60.6%) of two-property portfolios, showing that most investors start their journey as individuals.

Once investors scale beyond 10 properties, company ownership becomes the clear majority. In the 11-20 property tier, companies own 695 properties (91.8%), and in the 21-50 property tier, they own 553 properties (84.2%). This trend suggests that incorporating becomes a strategic necessity for managing larger portfolios.

This data illustrates a clear lifecycle for real estate investors in the region: they typically begin as individuals and transition to a corporate structure as their holdings grow to 6 or more properties, likely for liability protection and operational efficiency.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in Rochester zip codes like 14609, 14621, and 14611.
Detailed Findings

Investor property ownership in Monroe County is heavily concentrated in specific Rochester-area zip codes. The top three areas by sheer volume of investor-owned properties are 14609 (2,254 properties), 14621 (2,105 properties), and 14611 (1,456 properties).

However, the zip codes with the highest rate of investor ownership are different from the volume leaders. The zip codes 14414 and 14604 lead the county with a 50.0% investor ownership rate, meaning one in every two SFR properties in these areas is owned by an investor.

Other areas with high investor saturation include 14608 (43.6%) and 14515 (41.7%). These high-penetration markets indicate neighborhoods where rental properties make up a substantial portion of the housing stock.

The distinction between high-count and high-percentage regions is significant. For example, while 14609 has the most investor properties, its ownership rate is 18.4%. Conversely, 14611 not only has a high count (1,456) but also a very high rate (40.0%), signaling it as a key hub for investment activity.

Analyzing these geographic patterns with property datasets reveals distinct investment strategies, some focused on acquiring volume in larger neighborhoods and others on achieving high market density in smaller, specific sub-markets.

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
Monroe County landlords are aggressive net buyers with a 7.05x buy-to-sell ratio in Q1 2026.
Detailed Findings

Landlords in Monroe County are operating as strong net buyers, consistently acquiring more properties than they sell. In Q1 2026, investors purchased 564 properties while selling only 80, a buy-to-sell ratio of 7.05 to 1, signaling strong market accumulation and bullish sentiment.

This net buying behavior has been consistent over the past two years. In 2025, landlords recorded 6,815 buys versus 865 sells (a 7.9x ratio), and in 2024, they had 6,903 buys versus 960 sells (a 7.2x ratio). This sustained acquisition trend points to long-term confidence in the local rental market.

In stark contrast, institutional investors (1000+ properties) are actively divesting from the market. In 2025, this tier was a clear net seller, with only 5 purchases against 22 sales. This pattern of retreat continued from 2024, when they bought 3 properties and sold 36.

The divergence between the overall market and the institutional tier is a critical finding. While tens of thousands of smaller investors are expanding their portfolios, the largest players are reducing their exposure to Monroe County, creating opportunities for local buyers.

This trend is a key feature of the current housing environment, as detailed in our latest market reports, where local dynamics often differ from national headlines about institutional investment.

Current Quarter Transactions

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

Key Insight
Investors were involved in 56.8% of all Monroe County home sales in Q1 2026.
Detailed Findings

In the first quarter of 2026, landlords were a dominant force in the Monroe County real estate market, participating in 564 of the 993 total SFR transactions. This 56.8% share shows that more than half of all home sales involved an investor as the buyer.

Transaction activity was heavily concentrated among the smallest investors. Mom-and-pop landlords (Tiers 01-04) accounted for 539 of the 564 investor transactions, representing 95.6% of investor activity, while institutional investors made no transactions.

A clear pricing pattern emerged based on investor size. New, single-property landlords paid the highest average price at $279,285. Prices generally trended downward as portfolio size increased, with landlords in the 101-1000 tier paying an average of just $94,037 per property.

This price disparity of $185,248 between the smallest and largest active tiers suggests that new investors are buying higher-value, move-in-ready properties, while larger, more experienced landlords are targeting lower-cost properties that may require renovation.

Inter-landlord trading activity varied by tier. New investors in Tier 01 acquired only 10.3% of their properties from other landlords, preferring to buy from homeowners. In contrast, more established investors in tiers like Two-Property (31.6%) and Medium-Large (33.3%) were more likely to purchase from fellow investors, indicating a more mature internal market for portfolio trades.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small local investors control 90% of Monroe County's rental market as large institutions retreat
Holdings
Landlords own 26,984 SFR properties, representing 12.8% of Monroe County's market, with individual investors holding a dominant 74.0% share (19,973 properties) compared to companies at 26.0% (7,342 properties).
Pricing
In Q1 2026, landlords paid an average of $257,962, securing a 9.8% discount compared to traditional homeowners ($286,118), a reversal from 2025 when they frequently paid premiums.
Activity
Investors dominated Q1 sales, purchasing 466 properties for a 58.8% market share, with 476 new single-property landlords entering the market and mom-and-pop tiers accounting for 94.7% of all investor buys.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) overwhelmingly control the market with 90.3% of all investor-owned housing, while institutional investors (1000+) own a statistically insignificant 0.0%.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties and larger, controlling 77.3% of that tier.
Transactions
Landlords were aggressive net buyers in Q1 with a 7.05x buy-to-sell ratio (564 buys vs 80 sells), while institutional investors are net sellers, having sold 4.4 times more properties than they bought in 2025.
Market Narrative

The real estate investment landscape in Monroe County, NY is defined by the overwhelming dominance of small, local operators, a key finding from our latest Investor Pulse reports. Investors own 26,984 single-family properties, or 12.8% of the total market. This portfolio is firmly in the hands of 'mom-and-pop' landlords (1-10 properties), who control 90.3% of all investor-owned homes. Individual investors own 74.0% of the properties, with companies only becoming the majority owners in portfolios of six or more. In stark contrast, institutional investors (1000+ properties) have a negligible footprint, owning just 0.0% of the market share.

Investor behavior in the first quarter of 2026 highlights aggressive acquisition and strategic purchasing. Landlords bought 58.8% of all homes sold, with 94.7% of those purchases made by mom-and-pop investors. This activity was accompanied by a significant pricing advantage, as investors paid an average of $257,962, a 9.8% discount compared to traditional homeowners. Transaction data reveals that landlords are strong net buyers with a 7.05-to-1 buy/sell ratio, while the almost non-existent institutional players are net sellers, signaling a clear divestment from the region.

The key takeaway for the Monroe County housing market is that it is shaped not by Wall Street, but by thousands of local individuals and small businesses. The influx of 476 new single-property landlords in Q1 indicates a healthy, accessible market for new entrants. The retreat of institutional capital creates further opportunities for these local players to acquire properties. This dynamic, where small investors are actively accumulating properties at a discount while large firms exit, suggests a market characterized by local expertise and long-term confidence in rental demand. Accessing reliable assessor data and market insights remains critical for these investors to compete effectively.

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 12:18 AM
Data Period Q1 2026
Geography Level County
Geography Monroe (NY)
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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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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 Monroe (NY) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ny-monroe/. Licensed under CC BY-NC-ND 4.0.