Martin (TX) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Martin (TX)
856
Total Investors in Martin (TX)
267
Investor Owned SFR in Martin (TX)
286(33.4%)
Individual Landlords
Landlords
241
SFR Owned
229
Corporate Landlords
Landlords
26
SFR Owned
64
Understanding Property Counts

Distinct Count Methodology: The total 286 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 Martin County, Securing Deep Q4 Acquisition Discounts
Landlords in Martin County own 286 SFR properties, representing 33.4% of the market, with individuals holding 80.1% of these. In Q4 2025, landlords acquired 70.4% of all SFR sales, securing properties at a notable 26.4% discount compared to traditional homeowners. The market is predominantly driven by mom-and-pop investors, who control 80.5% of the investor-owned housing and are consistent net buyers.
Landlord Owned Current Holdings
Landlords in Martin County own 286 SFR properties, with individual investors holding 80.1% (229 properties).
A significant majority of these properties, 220, were acquired with cash, far outweighing the 66 financed properties. All 286 landlord-owned SFR properties are non-owner-occupied, confirming a strong rental market focus.
Landlord vs Traditional Homeowners
Martin County landlords secured a deep 26.4% discount in Q4, paying $266,090 compared to homeowners' $361,758.
The landlord discount has fluctuated significantly, showing a 49.0% discount in Q3 and an even larger 52.3% discount in Q2, indicating inconsistent market dynamics. Limited acquisition data in the most recent quarters means no specific trend could be established regarding acquisition velocity or year-over-year pricing for landlords.
Current Quarter Purchases
Landlords dominated Q4 purchases in Martin County, acquiring 19 properties, representing 70.4% of all SFR sales.
Mom-and-pop landlords (Tiers 01-04) accounted for 57.9% of all landlord purchases, totaling 11 properties. Institutional investors (Tier 09) showed no purchasing activity this quarter, highlighting the market's reliance on smaller investors.
Ownership by Tier
Mom-and-pop landlords control 80.5% of investor-owned SFR in Martin County, totaling 236 properties.
Institutional investors (Tier 09, 1000+ properties) hold a marginal 0.7% share, owning just 2 properties, demonstrating their minimal presence. Single-property landlords (Tier 01) form the largest segment, with 184 properties representing 62.8% of the total investor portfolio.
Ownership by Tier & Type
Individual investors overwhelmingly dominate all tiers in Martin County, with no company majority established.
For portfolios of 11-20 properties, individuals own 100.0% of the 20 properties, demonstrating their strong presence even in larger segments. Companies hold a maximum of 22.6% in the 3-5 property tier, indicating their limited market penetration across portfolio sizes.
Geographic Distribution
Zip Code 79782 in Martin County leads with 281 investor-owned properties, a 33.9% ownership rate.
Zip Code 79749 displays the highest investor ownership rate at 50.0%, though it represents a smaller volume of just 3 properties. This data reveals a concentrated pattern of investor activity within specific Martin County zip codes rather than uniform distribution.
Historical Transactions
Martin County landlords are strong net buyers with a 7.33x buy/sell ratio in Q4, acquiring 22 properties versus 3 sells.
The net buyer trend is consistent, with 49 buys versus 5 sells in 2025 and 15 buys versus 3 sells in 2024, showing sustained growth. No institutional (1000+ tier) transaction data is available, preventing an analysis of their specific buying/selling patterns.
Current Quarter Transactions
Landlords drove 61.1% of all Q4 transactions in Martin County, participating in 22 of 36 sales.
Single-property landlords (Tier 01) were most active with 12 transactions, acquiring properties at an average price of $254,842. Interestingly, small landlords (Tier 6-10) sourced 100.0% of their 2 purchases from other landlords, highlighting an active inter-investor market within this segment.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Landlords in Martin County own 286 SFR properties, with individual investors holding 80.1% (229 properties).
Detailed Findings

Landlords in Martin County collectively own 286 Single Family Residential (SFR) properties, accounting for a substantial 33.4% of the county's total SFR market of 856 properties. This indicates a significant investor presence in the local housing landscape.

Individual investors form the backbone of the landlord market, holding 229 properties, which represents 80.1% of all investor-owned SFR. In contrast, company-owned properties stand at 64, making up 22.4% of the portfolio, highlighting the market's reliance on smaller, individual landlords.

The investor portfolio in Martin County is overwhelmingly rental-focused, with 278 properties classified as rented and all 286 properties identified as non-owner-occupied. This underscores the primary objective of these holdings for rental income generation.

A strong preference for cash acquisitions is evident, with 220 properties purchased outright compared to only 66 properties that are financed. This suggests a market where landlords are less reliant on traditional lending, potentially indicating greater financial flexibility or strategic advantage.

The split between individual and company ownership within various property types shows individuals dominate: 222 rented, 64 financed, and 163 cash properties. Companies primarily hold cash (57 properties) and rented (59 properties) assets, with very limited financed properties (2), reinforcing the cash-heavy acquisition trend across owner types.

With 241 individual landlords versus 26 company landlords, the market features a ratio of approximately 9.3 individual landlords for every company landlord. This demonstrates that individual investors, largely mom-and-pop operators, are the predominant entity type driving the landlord sector in Martin County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Martin County landlords secured a deep 26.4% discount in Q4, paying $266,090 compared to homeowners' $361,758.
Detailed Findings

In Q4 2025, Martin County landlords paid an average of $266,090 for SFR properties, securing a substantial $95,668 discount compared to traditional homeowners, who paid $361,758. This represents a significant 26.4% price advantage for investors in the current quarter.

The landlord price advantage has shown considerable quarter-over-quarter variability. In Q3 2025, landlords paid $82,212, which was a 49.0% discount ($78,902) compared to homeowners at $161,114. This gap widened further in Q2, where landlords paid $176,179, a striking 52.3% discount ($192,985) against homeowner prices of $369,164, showcasing volatile market conditions and investor negotiation power.

Acquisition pricing trends over broader timeframes reveal average landlord prices were $205,023 for Year 2025, and $267,078 for Year 2024. During the pandemic-era years of 2020-2023, the average acquisition price was $184,515. These figures suggest a general appreciation in landlord acquisition prices from the 2020-2023 period into 2024, followed by fluctuations in 2025.

Despite the overall pricing trends, recent quarterly data (Q4 2025, Q4 2024, Q1 2025) shows 0 properties acquired by landlords. This indicates extremely low transaction volume, making it challenging to draw strong conclusions about consistent acquisition price trends or the consistency of the landlord discount in the most recent periods due to sparse activity.

While landlords consistently pay less than homeowners, the percentage discount varies significantly by quarter. The large discounts in Q2 (52.3%) and Q3 (49.0%) suggest unique market opportunities or more aggressive investor strategies during those periods, contrasting with a smaller, though still substantial, discount in Q4 (26.4%).

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 dominated Q4 purchases in Martin County, acquiring 19 properties, representing 70.4% of all SFR sales.
Detailed Findings

Landlords were the dominant force in the Martin County SFR market during Q4 2025, acquiring 19 properties. This represents a significant 70.4% share of the total 27 SFR purchases made in the quarter, clearly outpacing non-landlord buyers who acquired only 8 properties.

Mom-and-pop landlords (those owning 1-10 properties) were the most active investor segment in Q4. They purchased 11 properties, comprising 57.9% of all landlord acquisitions, signaling a strong base of smaller, local investors driving market activity.

Within the mom-and-pop segment, single-property landlords (Tier 01) accounted for the majority of new entrants, purchasing 9 properties. This activity was distributed among 12 distinct entities, indicating a healthy influx of new individual landlords into the market.

In contrast to the robust activity from smaller investors, institutional investors (Tier 09, 1000+ properties) showed no purchasing activity in Q4 2025. This complete absence suggests that larger, corporate entities are not currently active in acquiring properties in Martin County.

Beyond mom-and-pop activity, a single mid-size landlord (Tier 51-100) made a significant impact in Q4, acquiring 8 properties. This entity's activity alone constituted 42.1% of all landlord purchases, showing that even a single larger investor can profoundly influence quarterly acquisition patterns in this market.

Overall, Q4 activity highlights a market largely driven by individual and smaller-scale investors, particularly single-property landlords and a key mid-size player, while institutional presence in new acquisitions remains negligible.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 80.5% of investor-owned SFR in Martin County, totaling 236 properties.
Detailed Findings

Mom-and-pop landlords, encompassing those with 1 to 10 properties (Tiers 01-04), are the overwhelming owners of investor-owned SFR in Martin County, controlling 80.5% of the market with 236 properties. This dominance underscores the local, small-scale nature of the county's rental market.

Specifically, single-property landlords (Tier 01) constitute the largest segment of ownership, holding 184 properties, which represents 62.8% of the total landlord-owned SFR. This highlights the foundational role of first-time or single-asset investors in the county's housing supply.

In stark contrast to mom-and-pop dominance, institutional investors (Tier 09, 1000+ properties) have a negligible footprint in Martin County, owning only 2 properties, which accounts for a mere 0.7% of the total investor-owned SFR. This debunks any notion of significant corporate control in this market.

The distribution beyond the smallest tiers shows some activity in medium-sized portfolios: Small-medium (11-20 properties) account for 6.8% (20 properties) and Medium-large (51-100 properties) hold 11.6% (34 properties). These tiers represent a small number of larger local or regional investors.

A significant concentration exists in the lowest tiers, with Tiers 01, 02, 03-05, and 06-10 collectively holding 236 properties. This structure indicates a highly fragmented market composed primarily of individual investors rather than large entities.

The data does not provide specific acquisition prices by tier for all timeframes, making it impossible to analyze if larger investors generally pay more or less than smaller landlords. However, the existing distribution clearly shows the market is driven by smaller-scale investments.

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
Individual investors overwhelmingly dominate all tiers in Martin County, with no company majority established.
Detailed Findings

Individual investors overwhelmingly dominate the ownership landscape across all observed tiers in Martin County, including those up to 20 properties. For instance, in the 11-20 property tier, individuals own 100.0% of the 20 properties, with companies holding none, underscoring their robust presence in this segment.

The crossover point where companies become the majority owners over individuals does not appear within the available tier data. Even in the 'Small landlord (3-5 properties)' tier, individual investors maintain a substantial 77.4% share (24 properties) compared to companies at 22.6% (7 properties).

Individual ownership remains dominant even in the smallest portfolios: Tier 01 (single-property) sees individuals owning 168 properties (90.8%) against companies' 17 properties (9.2%). Similarly, in the two-property tier, individuals own 9 properties (81.8%) versus companies' 2 properties (18.2%).

Company concentration is highest, though still a minority, in the 3-5 property tier, holding 22.6% of properties. This suggests companies typically enter at slightly larger, but still relatively small, portfolio sizes when present.

Conversely, the highest individual concentration is observed in the 11-20 property tier, where they hold 100.0% of properties, followed closely by the 90.8% in the single-property tier. This further reinforces the individual-centric nature of Martin County's investor market.

While the data provides current ownership split, it lacks the necessary historical detail to definitively assess how growth patterns differ by owner type (all-time vs Q4 acquisitions) across tiers for a comprehensive trend analysis.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Zip Code 79782 in Martin County leads with 281 investor-owned properties, a 33.9% ownership rate.
Detailed Findings

The bulk of investor-owned properties in Martin County are concentrated within specific zip codes, particularly TX-Martin-79782. This zip code leads significantly with 281 investor-owned properties, representing 33.9% of all SFR properties within its boundaries, making it the primary hub for landlord activity by volume.

While TX-Martin-79782 leads by sheer count, TX-Martin-79749 exhibits the highest investor ownership rate at 50.0%. However, this represents a much smaller total of just 3 investor-owned properties, highlighting a distinction between regions with high penetration versus high volume.

The other listed sub-geographies, such as TX-Martin-79705 and TX-Martin-79748, show no available data for investor-owned properties or ownership rates, indicating a lack of activity or data capture for these areas. TX-Martin-79713 has a modest 2 investor-owned properties with a 16.7% rate.

The data for average acquisition prices across these geographic regions is not provided, making it impossible to analyze how pricing strategies or market values vary across Martin County's investor hotspots. This limits insights into regional price dynamics.

The pattern suggests that investor activity in Martin County is not evenly distributed but rather clustered. Zip codes like 79782 serve as major investment areas, potentially due to market characteristics or property availability.

There is a clear correlation between the highest count and highest percentage region in TX-Martin-79782, indicating a densely invested area. However, the contrast with TX-Martin-79749 (high percentage, low count) illustrates that high rates don't always equate to high volume, and vice-versa, revealing nuanced local market characteristics.

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
Martin County landlords are strong net buyers with a 7.33x buy/sell ratio in Q4, acquiring 22 properties versus 3 sells.
Detailed Findings

Martin County landlords are overwhelmingly net buyers, demonstrating a robust accumulation strategy across multiple timeframes. In Q4 2025 alone, they purchased 22 properties while selling only 3, resulting in an impressive buy/sell ratio of 7.33x.

This net buying trend is not limited to the recent quarter; for the entire Year 2025, landlords acquired 49 properties against 5 sells, maintaining a strong net position. Similarly, in Year 2024, they were net buyers with 15 purchases and 3 sells, indicating a consistent long-term growth pattern.

The data does not provide any information regarding institutional investor (1000+ tier) transactions for Martin County. Therefore, it is not possible to determine if this segment is accumulating or divesting properties, or how their transaction patterns might differ from the overall landlord activity.

The provided data does not include the percentage of buy or sell transactions that occur between landlords. This limits the ability to analyze inter-landlord trading activity and market liquidity patterns within the investor segment.

Average buy prices and sell prices are not provided in this section for all landlords, making it impossible to calculate an implied profit margin on sales. This prevents an assessment of the financial returns on landlord transactions.

The consistent net buying over multiple periods signals a healthy and expanding landlord market in Martin County, with investors actively growing their portfolios rather than divesting. This sustained acquisition could be driven by favorable market conditions or strong rental demand.

Current Quarter Transactions

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

Key Insight
Landlords drove 61.1% of all Q4 transactions in Martin County, participating in 22 of 36 sales.
Detailed Findings

Landlords in Martin County played a dominant role in Q4 2025, being involved in 22 of the 36 total SFR transactions. This substantial activity accounts for 61.1% of all transactions, underscoring their significant influence on the quarterly housing market.

Transaction volumes varied across investor tiers, with single-property landlords (Tier 01) showing the highest activity, accounting for 12 transactions. This suggests that new or nascent landlords are a primary driver of current market movements.

Regarding average purchase prices by tier, single-property landlords (Tier 01) paid an average of $254,842. In contrast, small landlords (Tier 6-10) paid a higher average of $316,706 for their 2 transactions, marking a $61,864 premium over Tier 01 purchases.

Inter-landlord trading activity was notable, particularly within the small landlord segment (Tier 6-10), where both of their Q4 transactions were acquired from other landlords, representing 100.0% of their purchases. This highlights a dynamic internal market among specific investor groups.

The price spread between the highest and lowest purchasing tiers, for which data is available, is $61,864, between Tier 6-10 ($316,706) and Tier 01 ($254,842). Institutional (Tier 09) transactions were zero, thus no pricing data exists for that segment.

Tier 6-10 demonstrated the highest percentage of inter-landlord purchases, indicating a willingness within this segment to trade properties amongst themselves. This contrasts with Tier 01 and Tier 51-100, which had 0.0% of their purchases sourced from other landlords.

Comparing Q4 transaction activity to overall ownership distribution (Section 8), Tier 01 maintains its dominance, representing the largest share in both ownership (62.8%) and Q4 transactions (12 transactions). This consistency underscores the foundational role of single-property landlords in Martin County's investor market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Drive Martin County Market, Securing Significant Q4 Discounts
Holdings
Landlords own 286 SFR properties in Martin County, representing 33.4% of the total SFR market, with individual investors holding 229 (80.1%) and companies owning 64 (22.4%).
Pricing
Martin County landlords paid 26.4% less than homeowners in Q4, securing an average discount of $95,668 per property ($266,090 vs $361,758). This marks a consistent, albeit fluctuating, significant price advantage over traditional buyers.
Activity
In Q4 2025, landlords purchased 19 properties, making up 70.4% of all SFR sales. Notably, 9 of these purchases were made by single-property landlords (Tier 01 entities), indicating a healthy influx of new investors into the market.
Market Share
Mom-and-pop landlords (1-10 properties) control a dominant 80.5% of investor-owned housing in Martin County, while institutional investors (1000+ properties) own a negligible 0.7%.
Ownership Type
Individual investors overwhelmingly dominate the Martin County market, holding 80.1% of investor-owned SFR properties, with companies never forming a majority in any observed tier, even up to 20 properties.
Transactions
Landlords are strong net buyers in Martin County with a 7.33x buy/sell ratio in Q4 (22 buys vs 3 sells), signaling active portfolio growth. No institutional investor transaction data is available for separate analysis.
Market Narrative

Martin County's SFR market is significantly influenced by investors, who collectively own 286 properties, accounting for 33.4% of all SFR housing. This portfolio is predominantly in the hands of individual investors, who hold 229 properties (80.1%), compared to companies owning just 64 properties (22.4%). The market is fundamentally characterized by a strong mom-and-pop presence, as landlords with 1-10 properties control an overwhelming 80.5% of all investor-owned housing, starkly contrasting with institutional investors who own a mere 0.7%.

Investor behavior in Q4 2025 highlights their aggressive market participation and strategic pricing. Landlords purchased 19 properties, capturing 70.4% of all SFR sales, and consistently secured properties at a significant discount, paying 26.4% less than traditional homeowners ($266,090 vs $361,758). This pricing advantage has fluctuated between 26.4% and 52.3% in recent quarters, suggesting astute negotiation or access to unique deals. The market's dynamism is further evidenced by landlords being consistent net buyers, with a Q4 buy/sell ratio of 7.33x, indicating a strong trend of accumulation rather than divestment.

The Martin County housing market is clearly shaped by the activity of smaller-scale, often individual, investors, who are actively expanding their portfolios while benefiting from substantial acquisition discounts. The negligible institutional presence underscores a local market less susceptible to large-scale corporate influence. This ongoing net buying activity by mom-and-pop landlords signals a robust belief in the long-term value and rental income potential of SFR properties within the county, contributing to a consistently active and growing investor segment.

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 02:55 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyMartin (TX)
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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 Section12 Transactions