Monroe (NY) Investor Pulse Report (2025-Q4)

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)
211,024
Total Investors in Monroe (NY)
31,618
Investor Owned SFR in Monroe (NY)
29,086(13.8%)
Individual Landlords
Landlords
28,411
SFR Owned
22,197
Corporate Landlords
Landlords
3,207
SFR Owned
7,232
Understanding Property Counts

Distinct Count Methodology: The total 29,086 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 Market as Institutions Retreat
Landlords own 29,086 SFR properties (13.8% of the market) in Monroe County, with individual investors holding 76.3% of the portfolio. In Q4 2025, landlords acquired 48.7% of all SFR purchases at an average of $305,390, a 1.8% discount compared to homeowner prices. While overall landlords are net buyers with a 7.79x buy/sell ratio, institutional investors are net sellers, having divested 22 properties in 2025.
Landlord Owned Current Holdings
Individual Landlords Hold 76.3% of 29,086 Investor-Owned SFR Properties
The vast majority of investor-owned properties, 28,612 (98.4%), are rented, highlighting a strong rental market focus. Over half, 15,824 (54.4%), of these properties were acquired with cash, indicating significant capital deployment.
Landlord vs Traditional Homeowners
Landlords Secured 1.8% Discount on Q4 Acquisitions Compared to Homeowners
This marks a significant trend reversal from prior quarters, where landlords paid premiums ranging from 3.7% to 7.2% in Q1-Q3 2025. Landlord acquisition prices have appreciated by 26.3% since the 2020-2023 period, rising from an average of $241,839 to $305,390 in Q4 2025.
Current Quarter Purchases
Landlords Captured 48.7% of All Q4 SFR Purchases in Monroe County
Mom-and-pop landlords (Tiers 01-04) accounted for an overwhelming 97.4% of all landlord purchases, acquiring 977 properties. New single-property landlords (Tier 01) were particularly active, with 1,216 entities purchasing 842 properties, while institutional investors made no purchases.
Ownership by Tier
Mom-and-Pop Landlords Control 91.3% of Investor-Owned SFR Properties; Institutions Hold 0.0%
Single-property landlords (Tier 01) form the backbone of the market, owning 21,636 properties (73.4% of the total investor portfolio). Institutional investors (1000+ properties) have a negligible presence in Monroe County, owning only 4 properties.
Ownership by Tier & Type
Companies Become Majority Owners at the 3-5 Property Tier in Monroe County
Individual investors dominate smaller portfolios, representing 90.6% of single-property ownership. However, company ownership rapidly increases in mid-size tiers, peaking at 91.7% in the 11-20 property tier.
Geographic Distribution
NY-Monroe-14609 Leads Investor Property Count with 2,436 Landlord-Owned Properties
Other high-volume zip codes include NY-Monroe-14621 (2,194 properties) and NY-Monroe-14580 (1,537 properties). Zip codes like NY-Monroe-14414 and NY-Monroe-14604 show the highest investor penetration rates at 50.0% each, indicating significant landlord market saturation.
Historical Transactions
Landlords are Strong Net Buyers in Monroe County with 7.79x Buy/Sell Ratio in Q4; Institutions are Net Sellers
Overall landlord buying activity has steadily increased, with 1,380 buy transactions in Q4 2025 contributing to 5,826 total buys in 2025. In contrast, institutional investors sold 22 properties in 2025 while only buying 5, maintaining a consistent net selling position since 2024.
Current Quarter Transactions
Landlords Accounted for 46.6% of All Q4 Transactions, Tier 01 Dominated with 1,216 Deals
Single-property landlords (Tier 01) paid the highest average price at $323,815, while medium-large landlords (Tier 51-100) paid the lowest at $66,182. Tier 11-20 showed the highest inter-landlord trading, with 20.0% of its transactions coming from other landlords.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Individual Landlords Hold 76.3% of 29,086 Investor-Owned SFR Properties
Detailed Findings

Individual landlords predominantly shape Monroe County's investor-owned SFR market, holding 22,197 properties, which accounts for 76.3% of the total 29,086 investor-owned SFR properties. This significantly outweighs company ownership at 7,232 properties (24.9%), underscoring the market's reliance on smaller, local investors.

A striking 98.4% (28,612 properties) of the landlord-owned portfolio is designated for rent, indicating a clear, strong focus on generating rental income within the county. This high non-owner-occupied rate reinforces the landlord definition and the market's function as a rental housing provider.

Cash acquisitions remain a dominant strategy for investors in Monroe County, with 15,824 properties (54.4%) having been purchased outright. The remaining 13,262 properties (45.6%) are financed, illustrating a balanced approach to capital deployment among landlords.

The landscape of landlords by entity count further reinforces the individual investor's role, with 28,411 individual landlords comprising 89.8% of the 31,618 total landlords. This ratio, nearly 9 individual landlords for every company landlord (3,207 companies), solidifies the 'mom-and-pop' character of the market.

The large proportion of individual landlords (89.8% by entities) relative to their property ownership share (76.3% by properties) suggests that individual investors generally own fewer properties on average compared to companies. This fragmented ownership structure enhances market resilience and diverse landlord motivations.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords Secured 1.8% Discount on Q4 Acquisitions Compared to Homeowners
Detailed Findings

In a notable shift for Q4 2025, landlords in Monroe County acquired properties at an average price of $305,390, representing a $5,546 (1.8%) discount compared to traditional homeowners who paid $310,936. This signals an increased purchasing advantage for investors during the quarter.

This Q4 discount stands in stark contrast to earlier in 2025, when landlords consistently paid a premium. Landlords paid 3.7% more than homeowners in Q1 ($288,077 vs $277,765), a 7.2% premium in Q2 ($353,989 vs $330,200), and a 5.1% premium in Q3 ($339,751 vs $323,258). The latest quarter reflects a clear reversal in pricing dynamics.

Comparing acquisition prices, landlords saw an average property value appreciation of $63,551 (26.3%) from the 2020-2023 period ($241,839) to Q4 2025 ($305,390). This indicates a substantial increase in property values over the post-pandemic years, benefiting existing landlords and impacting new entrants.

The significant shift from paying premiums in the first three quarters of 2025 to securing a discount in Q4 2025 ($5,546 or 1.8%) suggests changing market dynamics or more strategic purchasing by landlords. This could indicate a cooling market allowing for better negotiation or a shift in the types of properties being acquired by investors versus homeowners.

Despite the lack of specific property counts for landlord acquisitions in some historical timeframes, the provided average prices offer a valuable benchmark. The consistent upward trend in average landlord acquisition prices from 2020-2023 to Q4 2025, despite quarterly fluctuations, underscores a long-term appreciation in the Monroe County SFR 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 Captured 48.7% of All Q4 SFR Purchases in Monroe County
Detailed Findings

Landlords were exceptionally active in the Q4 2025 market, securing 996 of the 2,047 total SFR purchases, representing a significant 48.7% share of all acquisitions. This highlights the substantial influence of investors in shaping the quarterly housing market in Monroe County.

The market's activity is overwhelmingly driven by smaller investors, with mom-and-pop landlords (Tiers 01-04) responsible for 977 properties, or 97.4% of all landlord purchases in Q4. This pattern strongly refutes any narrative of large-scale corporate dominance in recent acquisition activity.

Single-property landlords (Tier 01) were the most dominant segment, purchasing 842 properties, which accounts for 83.9% of all landlord acquisitions in Q4. This indicates a robust entry point for new investors or expansion for very small landlords.

A total of 1,216 distinct entities in Tier 01 participated in Q4 purchases, signaling a significant influx of new or nascent landlords into the Monroe County market. While these entities collectively acquired 842 properties, this volume indicates a high level of individual entrepreneurial activity.

In stark contrast to the mom-and-pop activity, institutional investors (Tier 09, 1000+ properties) made no purchases in Monroe County during Q4 2025. This complete absence underscores their minimal direct acquisition impact in this local market during the period.

Smaller multi-property landlords also contributed to Q4 activity: Tier 02 landlords acquired 30 properties (3.0%), Tier 03-05 added 80 properties (8.0%), and Tier 06-10 purchased 25 properties (2.5%). Even small-medium and medium-large tiers showed some activity, with 4 properties (Tier 11-20), 9 properties (Tier 21-50), and 11 properties (Tier 51-100) acquired, further diversifying the market landscape.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-Pop Landlords Control 91.3% of Investor-Owned SFR Properties; Institutions Hold 0.0%
Detailed Findings

Mom-and-pop landlords, encompassing those with 1 to 10 properties (Tiers 01-04), collectively own an overwhelming 91.3% of all investor-owned SFR properties in Monroe County. This demonstrates the profound market dominance of smaller-scale investors.

The backbone of this landlord market is formed by single-property owners (Tier 01), who control 21,636 properties, representing 73.4% of the entire investor-owned SFR portfolio. This highlights that first-time or casual landlords are the primary holders of rental housing in the county.

In stark contrast to the broad ownership by mom-and-pop investors, institutional investors (Tier 09, with 1000+ properties) hold a virtually non-existent share, owning only 4 properties, which translates to 0.0% of the total investor-owned SFR. This significantly challenges any perception of large corporate control in this specific county.

Breaking down the mom-and-pop segment further, Tier 02 (two-property owners) contributes 1,562 properties (5.3%), Tier 03-05 (3-5 properties) accounts for 2,551 properties (8.7%), and Tier 06-10 (6-10 properties) holds 1,167 properties (4.0%). These tiers collectively reinforce the fragmented, small-portfolio nature of investor ownership.

Mid-size landlord tiers (11-1000 properties) maintain a modest presence: Tier 11-20 owns 744 properties (2.5%), Tier 21-50 holds 613 properties (2.1%), Tier 51-100 comprises 769 properties (2.6%), and Tier 101-1000 has 445 properties (1.5%). Their combined share remains far less than that of the mom-and-pop segment.

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 Majority Owners at the 3-5 Property Tier in Monroe County
Detailed Findings

The ownership structure in Monroe County shifts significantly as portfolio size increases; individual investors maintain strong dominance in smaller tiers, while companies assert majority control in mid-sized portfolios. The crossover point where companies become the majority owners occurs at the 3-5 property tier, with companies holding 1,292 properties (50.4%) compared to individuals at 1,273 properties (49.6%).

Individual investors overwhelmingly dominate the entry-level market, controlling 19,826 single-property portfolios (Tier 01), which represents 90.6% of this segment. This highlights that most new landlords or those with minimal holdings are individuals, underpinning the 'mom-and-pop' foundation.

As portfolio sizes grow, company ownership dramatically increases its share. For instance, in the 6-10 property tier, companies own 893 properties (76.5%), a substantial rise from the 3-5 tier. This trend continues, with companies controlling 91.7% of properties in the 11-20 tier and 83.7% in the 21-50 tier.

The 11-20 property tier represents the highest concentration of company ownership, where companies hold 682 properties (91.7%) compared to individuals who hold only 62 properties (8.3%). This indicates that for more substantial, but not institutional, portfolios, corporate structures are the preferred vehicle.

Conversely, the two-property tier (Tier 02) still shows significant individual involvement, with 977 properties (62.0%) owned by individuals compared to 598 properties (38.0%) by companies. This suggests that even as portfolios begin to expand, many individual investors are still actively growing their holdings before potentially transitioning to a corporate structure or being outpaced by companies.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
NY-Monroe-14609 Leads Investor Property Count with 2,436 Landlord-Owned Properties
Detailed Findings

Investor-owned properties are concentrated in specific zip codes within Monroe County, with NY-Monroe-14609 leading the county by count with 2,436 landlord-owned SFR properties. This zip code alone accounts for a substantial portion of the county's investor activity.

Following closely in investor property counts are NY-Monroe-14621 with 2,194 properties and NY-Monroe-14580 with 1,537 properties. These top zip codes reveal a clear geographic clustering of investor activity, suggesting specific areas are more attractive for rental property investment.

While high in property count, not all top regions by count exhibit the highest investor penetration rates. For example, NY-Monroe-14580 has a notable 1,537 investor-owned properties but only an 8.9% investor ownership rate, suggesting a larger overall SFR market with room for further investor growth.

Conversely, several zip codes exhibit exceptionally high investor ownership rates, indicating deep market penetration. NY-Monroe-14414 and NY-Monroe-14604 both show a remarkable 50.0% investor ownership rate, signifying that half of all SFR properties in these areas are investor-owned.

Other areas with high investor ownership rates include NY-Monroe-14608 at 45.5% and NY-Monroe-14515 at 41.7%. These percentages highlight localized markets where a significant proportion of the housing stock is managed by landlords, potentially impacting local housing dynamics and affordability.

The zip code NY-Monroe-14611 stands out for both high count (1,509 properties) and a high ownership rate (41.5%), demonstrating a highly concentrated and deeply penetrated investor market within that specific area. This dual concentration can lead to distinct market characteristics compared to regions with high counts but lower rates.

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 are Strong Net Buyers in Monroe County with 7.79x Buy/Sell Ratio in Q4; Institutions are Net Sellers
Detailed Findings

Landlords in Monroe County are actively expanding their portfolios, evidenced by their robust net buyer status across all reported timeframes. In Q4 2025 alone, they executed 1,380 buy transactions against only 177 sell transactions, resulting in a high buy/sell ratio of 7.79x and a net gain of 1,203 properties.

This aggressive buying trend is consistent throughout the year, with Year 2025 seeing 5,826 buys versus 804 sells, yielding a net positive of 5,022 properties. Comparatively, Year 2024 also saw significant net buying with 6,516 buys against 933 sells, accumulating 5,583 net properties.

In stark contrast to the overall landlord market, institutional investors (1000+ tier) are net sellers, signaling a divestment strategy within Monroe County. In Year 2025, institutions purchased only 5 properties while selling 22, resulting in a net reduction of 17 properties from their portfolios.

This institutional net selling trend extends back to Year 2024, where they bought only 3 properties but sold 35, incurring a net loss of 32 properties. This clear divergence highlights a strategic decision by larger investors to exit or reduce their presence in this market, even as smaller landlords continue to accumulate.

The buy/sell ratio for all landlords shows a slight increase from 6.98x in 2024 to 7.25x in 2025, further strengthening to 7.79x in Q4 2025. This escalating ratio indicates a market where existing and new landlords are finding more opportunities to acquire properties than to sell them, reflecting strong demand among this investor segment.

Current Quarter Transactions

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

Key Insight
Landlords Accounted for 46.6% of All Q4 Transactions, Tier 01 Dominated with 1,216 Deals
Detailed Findings

In Q4 2025, landlords were central to the real estate market in Monroe County, participating in 1,380 transactions, which represents 46.6% of the total 2,959 SFR transactions. This substantial involvement underscores their critical role in market liquidity and activity during the quarter.

The transaction volume is overwhelmingly concentrated within the smallest investor segment; single-property landlords (Tier 01) were involved in 1,216 transactions. This significant activity demonstrates that new entrants and the smallest portfolio owners are the primary drivers of market churn from the landlord perspective.

Average purchase prices varied dramatically across investor tiers, reflecting diverse strategies and property types. Tier 01 landlords paid the highest average price at $323,815, suggesting they acquire entry-level or standard SFR properties typically sought by homeowners. In contrast, Tier 51-100 landlords secured properties at an average of just $66,182, potentially indicating bulk purchases or distressed assets at a substantial discount.

The spread between the highest-paying tier (Tier 01 at $323,815) and the lowest-paying tier (Tier 51-100 at $66,182) is a significant $257,633, illustrating vastly different acquisition strategies and market segments targeted by varying investor sizes. This price discrepancy suggests larger investors leverage economies of scale or specialized deal flow.

Inter-landlord trading activity also differed by tier; Tier 11-20 demonstrated the highest percentage of purchases from other landlords at 20.0%. However, Tier 01, despite its high transaction volume, sourced only 10.2% of its properties from other landlords, implying a greater reliance on traditional market listings.

Notably, Tier 21-50 and Tier 101-1000 reported 0.0% of their Q4 transactions as being bought from other landlords, indicating that these larger mid-size landlords likely acquire properties directly from non-landlord sellers or through off-market channels, avoiding direct competition within the investor pool.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Monroe County Sees Mom-and-Pop Surge, Dominating 91.3% Ownership While Institutions Divest
Holdings
Landlords collectively own 29,086 SFR properties in Monroe County, representing 13.8% of the total SFR market. Individual investors command the majority, holding 22,197 properties (76.3%), while companies own 7,232 properties (24.9%).
Pricing
In Q4 2025, landlords paid an average of $305,390 for SFR properties, securing a 1.8% discount ($5,546) compared to traditional homeowners who paid $310,936. This marks a significant shift from earlier in the year when landlords consistently paid a premium, with prices appreciating by 26.3% ($63,551) since 2020-2023.
Activity
Landlords comprised a substantial 48.7% of all Q4 SFR purchases, acquiring 996 properties. The market saw 1,216 new single-property landlords (Tier 01 entities) actively buying, with mom-and-pop investors (Tiers 01-04) collectively making 97.4% of all landlord purchases.
Market Share
Mom-and-pop landlords (1-10 properties) overwhelmingly control 91.3% of investor-owned housing in Monroe County. In stark contrast, institutional investors (1000+ properties) hold a negligible share of just 0.0%, owning only 4 properties.
Ownership Type
Individual investors dominate smaller portfolios (Tier 01 with 90.6% ownership), but companies gain majority control starting at the 3-5 property tier, where they own 50.4% of properties. There are 8.86 individual landlords for every company landlord in the county.
Transactions
Overall, landlords are aggressive net buyers in Monroe County, with a Q4 buy/sell ratio of 7.79x (1,380 buys vs 177 sells). However, institutional investors maintain a net seller position, having divested 22 properties in 2025 while only acquiring 5.
Market Narrative

The real estate investment landscape in Monroe County is fundamentally shaped by smaller, local investors, reinforcing the strength of the 'mom-and-pop' landlord segment. With 29,086 SFR properties under investor ownership, representing 13.8% of the total market, individual investors collectively hold an overwhelming 76.3% of these assets. This translates into a highly fragmented market where those with 1 to 10 properties control 91.3% of the entire investor-owned portfolio, while institutional players with over 1000 properties have an almost negligible presence, owning a mere 4 properties.

Investor behavior in Q4 2025 showcased a significant shift, with landlords acquiring nearly half (48.7%) of all SFR properties and, for the first time this year, securing a 1.8% average discount over traditional homeowner prices. This marks a reversal from earlier in 2025 where landlords paid premiums, suggesting enhanced negotiation power or changing market conditions. Overall, landlords are robust net buyers, with 1,380 buy transactions against only 177 sells in Q4, yielding a high 7.79x buy/sell ratio. Notably, single-property landlords were the most active, acquiring 842 properties and accounting for 1,216 distinct entities entering or expanding their presence in the market.

This data from Monroe County vividly illustrates a market primarily driven by local entrepreneurialism rather than large-scale corporate interests. The consistent net buying by smaller investors, coupled with the strategic divestment by institutional players, suggests a resilient demand for rental properties among individual landlords. The significant price appreciation since the pandemic era further incentivizes investment, with the discount secured in Q4 potentially signaling a more competitive or value-driven market for incoming landlords seeking opportunities within specific, highly penetrated local zip codes.

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 18, 2026 at 10:29 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyMonroe (NY)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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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 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 Section12 Transactions
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Chart Section12 Prices Detail
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