Yankton (SD) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Yankton (SD)
7,434
Total Investors in Yankton (SD)
1,650
Investor Owned SFR in Yankton (SD)
1,457(19.6%)
Individual Landlords
Landlords
1,323
SFR Owned
1,029
Corporate Landlords
Landlords
327
SFR Owned
485
Understanding Property Counts

Distinct Count Methodology: The total 1,457 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 Yankton County, Securing Deep Q4 Discounts While Institutions Remain Absent
Landlords in Yankton County, SD, own 1,457 SFR properties, representing 19.6% of the market. Mom-and-pop landlords (1-10 properties) overwhelmingly control 91.9% of this portfolio, with institutional investors holding none. In Q4 2025, landlords secured properties at a significant 24.6% discount compared to traditional homeowners, actively purchasing 26.5% of all SFR sales, with an overall net buying position for the year.
Landlord Owned Current Holdings
Landlords own 1,457 SFR properties in Yankton County, with individuals holding 70.6% of the portfolio.
A substantial 96.8% of landlord-owned properties are rented, underscoring a strong focus on generating rental income. Most properties (1,193) are acquired with cash, while 264 are financed. Individual landlords comprise the vast majority of entities at 80.2%, with companies making up the remaining 19.8%.
Landlord vs Traditional Homeowners
Yankton County landlords secured a significant $72,099 (24.6%) discount versus homeowners in Q4 2025.
The landlord discount has widened dramatically from 2.4% in Q1 2025 to 24.6% in Q4 2025, showing increasing pricing advantage. In Q4 2025, landlords paid an average of $221,027, substantially less than the $293,126 paid by traditional homeowners. Data for individual vs. company acquisition prices is not available in this report section.
Current Quarter Purchases
Landlords captured 26.5% of all SFR purchases in Yankton County during Q4 2025.
Mom-and-pop landlords (Tier 01-04) dominated Q4 acquisitions, accounting for 78.3% of all landlord purchases (18 properties), while institutional investors (Tier 09) remained completely inactive with 0 purchases. Single-property landlords (Tier 01) were the most active, acquiring 15 properties and comprising 65.2% of Q4 landlord purchases.
Ownership by Tier
Mom-and-pop landlords control a commanding 91.9% of all investor-owned SFR properties in Yankton County.
The single-property landlord tier (Tier 01) forms the backbone of the market, holding 64.7% of all investor-owned SFR properties (980 properties). Institutional investors (Tier 09) own 0 properties, indicating a complete absence from the large-scale investment landscape in this county. Acquisition price data by tier is not available in this section.
Ownership by Tier & Type
Individual investors overwhelmingly dominate all listed portfolio tiers, with no company majority crossover observed.
Individual owners hold 80.3% of single-property portfolios and still account for 90.7% of properties in the 21-50 property tier, maintaining a strong presence even in mid-size segments. Institutional companies (1000+ properties) are entirely absent from ownership in Yankton County. Growth patterns by owner type cannot be assessed with the available data.
Geographic Distribution
Yankton County's zip codes 57031 and 57040 show the highest investor concentration.
SD-Yankton-57031 leads both by investor-owned property count (98 properties) and investor ownership rate (47.6%). The top five regions by count are identical to the top five by percentage, indicating a clear geographic concentration of investor activity within specific zip codes. Acquisition prices across these top regions are not provided in this section.
Historical Transactions
Yankton County landlords are strong net buyers with a 6.88x buy/sell ratio in 2025, while institutions remain largely inactive.
Landlord buy transactions in Q4 2025 reached 30 properties against only 2 sells, indicating a highly bullish stance. The overall buy/sell ratio for 2025 (117 buys vs. 17 sells) underscores consistent accumulation. Institutional investors (1000+ tier) showed minimal activity, with a neutral position (1 buy, 1 sell) in 2024 and no reported transactions in 2025.
Current Quarter Transactions
Landlords participated in 23.8% of all Q4 2025 transactions in Yankton County.
Single-property landlords (Tier 01) were the most active, completing 22 transactions at an average price of $259,909, the highest among all listed tiers. No transactions were identified as being bought from other landlords across any tier, indicating landlords primarily acquire properties from non-investors. Institutional investors (Tier 09) registered 0 transactions.

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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 own 1,457 SFR properties in Yankton County, with individuals holding 70.6% of the portfolio.
Detailed Findings

In Yankton County, SD, landlords collectively own 1,457 Single Family Residential (SFR) properties, accounting for 19.6% of the total SFR market, demonstrating a significant investor presence. Individual landlords are the primary owners, holding 1,029 properties (70.6%) compared to companies owning 485 properties (33.3%).

The portfolio exhibits a strong rental focus, with 1,410 properties (96.8%) identified as rented, indicating that landlord activity is overwhelmingly geared towards generating income rather than owner-occupancy. This high percentage reinforces the rental market's reliance on investor-owned housing.

Acquisition strategies lean heavily towards cash purchases, with 1,193 properties acquired outright compared to 264 properties that are financed. This suggests a preference for liquidity and potentially less reliance on traditional lending for portfolio expansion.

Regarding landlord entities, individual investors represent a substantial 80.2% (1,323 entities) of all landlords in Yankton County, dwarfing the 19.8% (327 entities) held by company owners. This highlights the foundational role of smaller, individual landlords in the county's rental housing supply.

The ratio of individual to company landlords stands at approximately 4.05 individuals for every company, further solidifying the dominance of individual investors in the landlord landscape. This pattern challenges common narratives about corporate control, at least in this specific county.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Yankton County landlords secured a significant $72,099 (24.6%) discount versus homeowners in Q4 2025.
Detailed Findings

Landlords in Yankton County, SD, demonstrated a notable pricing advantage in Q4 2025, acquiring properties for an average of $221,027, which is $72,099 (24.6%) less than the average $293,126 paid by traditional homeowners. This significant discount highlights landlords' ability to find and secure properties at a lower entry cost.

The landlord-homeowner price gap has expanded considerably throughout 2025, starting with a modest 2.4% ($9,336) discount in Q1, widening to 15.7% ($55,507) in Q3, and peaking at 24.6% ($72,099) in Q4. This trend indicates a growing disparity in acquisition costs, potentially favoring investors with strategic purchasing power or access to distressed assets.

While specific acquisition property counts for landlords in 2024 and 2025 show 0 in the detailed timeframe breakdown, overall Q4 2025 data confirms 22 landlord purchases, indicating that the reported average prices reflect actual buying activity for those periods. Historical data shows average prices for landlords were $200,766 between 2020-2023, suggesting significant price appreciation for homeowners in the interim.

Comparing Q4 prices to earlier in the year reveals a dynamic market where homeowner prices have fluctuated, dropping from a peak of $404,474 in Q2 to $293,126 in Q4. Landlords appear to be capitalizing on market shifts, maintaining a lower acquisition cost across these changes.

The absence of explicit data for individual versus company landlord acquisition prices within this section prevents a direct comparison of their respective buying strategies; however, the overall landlord discount remains a clear pattern.

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 26.5% of all SFR purchases in Yankton County during Q4 2025.
Detailed Findings

In Q4 2025, landlords in Yankton County, SD, were significant players in the SFR market, accounting for 22 of the total 83 purchases, representing a substantial 26.5% share of all SFR acquisitions. This indicates a robust and active investor segment despite the perceived challenges in the broader housing market.

Mom-and-pop landlords (Tiers 01-04) were overwhelmingly the most active buyers this quarter, collectively acquiring 18 properties, which represents 78.3% of all landlord purchases. This highlights the continued importance of smaller investors in the local housing ecosystem.

The single-property landlord tier (Tier 01) demonstrated exceptional activity, purchasing 15 properties, which alone constituted 65.2% of all Q4 landlord purchases. A total of 22 entities were involved in these Tier 01 purchases, suggesting a healthy influx of new or expanding small-scale investors into the market.

Mid-size landlords also showed moderate activity, with small-medium (Tier 05-06, 11-20 properties) and medium-large (Tier 07, 51-100 properties) each acquiring 2 properties (8.7% each) in Q4. Larger landlords (Tier 08, 101-1000 properties) contributed 1 property to the Q4 total.

Notably, institutional investors (Tier 09, 1000+ properties) made no purchases in Yankton County during Q4 2025, accounting for 0.0% of landlord acquisitions. This absence indicates a lack of institutional interest or presence in this specific market during the latest quarter.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a commanding 91.9% of all investor-owned SFR properties in Yankton County.
Detailed Findings

Mom-and-pop landlords (defined as Tiers 01-04, owning 1-10 properties) overwhelmingly dominate the investor-owned SFR market in Yankton County, SD, controlling 1,339 properties or a substantial 91.9% of the total 1,457 investor-owned SFR properties. This indicates that the vast majority of rental housing in the county is held by smaller, local investors.

The bedrock of this dominance is the single-property landlord (Tier 01), who accounts for 980 properties, representing 64.7% of all investor-owned SFR. Including two-property (Tier 02) owners at 7.9% (120 properties) and small landlords (Tiers 03-04, 3-10 properties) at 15.7% (239 properties), these smallest investors form the overwhelming majority of the market structure.

Mid-size landlords (Tiers 05-08, 11-1000 properties) hold a significantly smaller share of the market, with 80 properties (5.3%) in the 11-20 property tier, 43 properties (2.8%) in the 21-50 tier, 48 properties (3.2%) in the 51-100 tier, and only 4 properties (0.3%) in the 101-1000 tier.

A notable finding is the complete absence of institutional investors (Tier 09, 1000+ properties) from the Yankton County market, as they control 0 properties (0.0% of investor-owned SFR). This pattern strongly contrasts with larger, more urbanized markets often highlighted in national discussions about institutional ownership.

While this section provides a clear distribution of ownership by tier, data regarding how acquisition prices vary specifically by tier (e.g., whether larger investors pay more or less per property) is not available, limiting insights into tier-specific pricing strategies.

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 listed portfolio tiers, with no company majority crossover observed.
Detailed Findings

Individual investors demonstrate a pervasive dominance across all specified portfolio tiers in Yankton County, SD. For single-property landlords (Tier 01), individuals own 814 properties (80.3%) compared to companies owning 200 properties (19.7%), establishing their foundational role.

This individual majority persists even as portfolio size increases. In the two-property tier (Tier 02), individuals still hold 81 properties (66.9%) versus companies at 40 properties (33.1%). For small landlords (Tier 03, 3-5 properties), individuals control 128 properties (59.0%), while companies hold 89 properties (41.0%).

Remarkably, for the small-medium tier (Tier 06, 21-50 properties), individual investors retain a substantial lead, owning 39 properties (90.7%) compared to companies with only 4 properties (9.3%). This data indicates that a crossover point, where companies become the majority owners, is not observed within the available tiers, contrary to trends seen in larger markets.

The complete absence of institutional companies (Tier 09, 1000+ properties) in Yankton County's ownership data further underscores the market's reliance on individual and smaller-scale company investors. This suggests the market characteristics may not attract very large institutional players.

Without specific pricing data comparing individual and company acquisitions within each tier, it is not possible to determine if different owner types employ distinct pricing strategies. Similarly, growth patterns over time for individual versus company ownership cannot be assessed from this section's data.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Yankton County's zip codes 57031 and 57040 show the highest investor concentration.
Detailed Findings

Investor activity in Yankton County, SD, is highly concentrated within specific zip codes. The zip code SD-Yankton-57031 stands out as the leader, with 98 investor-owned properties and the highest investor ownership rate at 47.6% of all SFR properties within that area. This indicates a significant presence of landlords in this particular sub-geography.

The top five sub-geographies by investor-owned property count are also precisely the top five by investor ownership percentage, revealing a strong correlation between the absolute number of investor properties and the density of investor penetration. This includes SD-Yankton-57072 (61 properties, 32.4% rate), SD-Yankton-57046 (60 properties, 28.0% rate), SD-Yankton-57067 (54 properties, 34.6% rate), and SD-Yankton-57040 (52 properties, 35.1% rate).

SD-Yankton-57040 notably ranks second in investor ownership percentage at 35.1%, even though it is fifth in total investor-owned properties, suggesting a relatively smaller total housing stock but a higher proportion owned by investors. Conversely, SD-Yankton-57046 has a lower ownership rate (28.0%) but a higher absolute count, implying a larger overall housing market.

The consistency between the top regions by count and percentage highlights distinct pockets within Yankton County that are particularly attractive to, or saturated with, real estate investors. These areas likely represent key markets for rental demand or investment opportunities within the county.

This section provides valuable insights into the spatial distribution of investor-owned properties, but it does not include data on how acquisition prices vary across these different geographic regions, which could offer further understanding of regional market dynamics.

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
Key Insight
Yankton County landlords are strong net buyers with a 6.88x buy/sell ratio in 2025, while institutions remain largely inactive.
Detailed Findings

Landlords in Yankton County, SD, are decisively net buyers, demonstrating a strong accumulation trend throughout 2025. For the entire year, landlords purchased 117 properties while selling only 17, resulting in a robust buy/sell ratio of 6.88x and a net gain of 100 properties, indicating sustained portfolio expansion.

This aggressive buying behavior was particularly pronounced in Q4 2025, where landlords bought 30 properties and sold only 2, achieving an exceptional buy/sell ratio of 15.0x. This suggests a perceived opportunity or strong market confidence among landlords at the close of the year.

Quarter-over-quarter analysis reveals consistent net buying: Q3 saw 33 buys against 6 sells (5.5x ratio), and Q2 had 37 buys against 4 sells (9.25x ratio). Even comparing year-over-year, 2025's 117 buys significantly surpassed 2024's 86 buys, indicating an acceleration in acquisition activity.

In stark contrast to the overall landlord market, institutional investors (1000+ tier) showed minimal transaction activity. In 2024, they were neutral with 1 buy and 1 sell, and for 2025, no transactions were reported, signaling their complete absence or disinterest in the Yankton County market during this period.

While the transaction counts clearly illustrate net buying patterns, this section does not provide average buy or sell prices for either all landlords or institutional investors. Consequently, an implied profit margin analysis based on historical transactions cannot be conducted from this data.

Current Quarter Transactions

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

Key Insight
Landlords participated in 23.8% of all Q4 2025 transactions in Yankton County.
Detailed Findings

In Q4 2025, landlords in Yankton County, SD, were involved in 30 of the 126 total SFR transactions, representing a 23.8% share of the overall market activity. This significant participation highlights their ongoing influence and investment in the local housing market.

Mom-and-pop landlords (Tiers 01-04) dominated the transaction landscape, with single-property investors (Tier 01) completing 22 transactions. Other smaller tiers, including two-property (Tier 02) and small landlords (Tier 03, 3-5 properties), contributed 1 and 2 transactions respectively, reinforcing the activity of smaller-scale investors.

There's a clear inverse correlation between portfolio size and average purchase price among active tiers. Single-property landlords (Tier 01) paid the highest average price at $259,909, while larger tiers like small-medium (11-20 properties) paid $90,000, and large (101-1000 properties) paid the lowest at $80,800. This suggests smaller investors may be targeting different types of properties or are less able to negotiate deep discounts.

A notable finding is that 0% of transactions across all active tiers were identified as properties bought from other landlords. This indicates that landlords in Yankton County primarily acquire properties directly from traditional homeowners or other non-investor sellers, rather than engaging in significant inter-landlord trading.

Institutional investors (Tier 09, 1000+ properties) showed no transaction activity in Q4 2025, consistent with their general absence from this market. This further solidifies the dominance of smaller, independent investors in Yankton County's transactional dynamics.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Yankton County Dominated by Mom-and-Pop Landlords Securing Deep Q4 Discounts, Institutions Absent
Holdings
Landlords in Yankton County, SD, own 1,457 SFR properties, which constitutes 19.6% of the total SFR market. Individual investors hold the majority, owning 1,029 properties (70.6%) compared to companies owning 485 properties (33.3%).
Pricing
Landlords in Q4 2025 paid an average of $221,027, securing a significant $72,099 (24.6%) discount compared to traditional homeowners who paid $293,126. This discount dramatically widened from 2.4% in Q1 2025, indicating an increasing pricing advantage for investors.
Activity
In Q4 2025, landlords purchased 22 properties, representing 26.5% of all SFR sales in Yankton County. Single-property landlords (Tier 01) were the most active, acquiring 15 properties with 22 entities involved, showcasing a strong influx of new or expanding small-scale investors.
Market Share
Mom-and-pop landlords (1-10 properties) control an overwhelming 91.9% (1,339 properties) of all investor-owned housing in Yankton County, SD, while institutional investors (1000+ properties) hold no market share (0.0%).
Ownership Type
Individual investors maintain majority ownership across all listed portfolio tiers, including 80.3% in single-property and 90.7% in 21-50 property portfolios, indicating no company majority crossover point within the observed data. Companies hold a maximum of 41.0% in the 3-5 property tier.
Transactions
Landlords in Yankton County are robust net buyers with a 2025 buy/sell ratio of 6.88x (117 buys vs 17 sells). Conversely, institutional investors (1000+ tier) displayed minimal activity, showing a neutral transaction position in 2024 (1 buy vs 1 sell) and no reported activity in 2025.
Market Narrative

The real estate investor landscape in Yankton County, SD, is heavily dominated by smaller, local players. Landlords collectively own 1,457 SFR properties, constituting nearly a fifth (19.6%) of the total SFR market. An overwhelming 91.9% of this portfolio is controlled by mom-and-pop landlords (1-10 properties), with individual investors owning 70.6% of all investor-held SFR properties. This structure clearly positions individual and small-scale companies as the backbone of the rental housing supply in Yankton County, starkly contrasting with larger markets often characterized by institutional dominance.

In Q4 2025, landlord activity remained robust, with investors purchasing 26.5% of all SFR sales. Notably, landlords continued to secure properties at a significant advantage, paying 24.6% less than traditional homeowners, representing a $72,099 average discount per property. This pricing trend has intensified throughout the year, with the discount widening from a mere 2.4% in Q1. Transaction data confirms landlords are aggressive net buyers, acquiring 117 properties against just 17 sells in 2025, while institutional investors remained completely inactive, demonstrating a clear divergence in investment behavior.

These findings suggest that the Yankton County housing market is largely a domain for local, individual investors who are actively expanding their portfolios and demonstrating superior deal-finding capabilities. The complete absence of institutional investors indicates this market may not align with large-scale corporate investment strategies, leaving ample opportunity for smaller, agile landlords. The high concentration of investor-owned properties in specific zip codes also points to localized market dynamics driving this investor activity.

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 05:18 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyYankton (SD)
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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 Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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