Noble (OH) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Noble (OH)
3,187
Total Investors in Noble (OH)
1,186
Investor Owned SFR in Noble (OH)
942(29.6%)
Individual Landlords
Landlords
1,079
SFR Owned
845
Corporate Landlords
Landlords
107
SFR Owned
132
Understanding Property Counts

Distinct Count Methodology: The total 942 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 97.2% of Noble County's investor market, consistently net buyers.
Noble County's investor market is heavily driven by individuals, owning 89.7% of 942 investor-owned SFR properties, which comprise 29.6% of the market. Mom-and-pop landlords control 97.2% of this portfolio, while institutional investors are entirely absent. Landlords continue as strong net buyers, acquiring 35.5% of Q4 purchases at a slight 1.1% discount to homeowners.
Landlord Owned Current Holdings
Landlords own 942 SFR properties in Noble County, with individuals dominating 89.7% of holdings.
Of investor-owned properties, 97.9% (922 properties) are rented out, indicating a strong rental focus. The vast majority of these properties (920) were acquired with cash, while only 22 are financed. Individual landlords outnumber company landlords by a significant ratio of 10.08:1 (1,079 vs 107 entities).
Landlord vs Traditional Homeowners
Landlords paid 1.1% less than homeowners in Q4 2025 ($151,219 vs $152,957).
The landlord discount varied drastically throughout 2025, peaking at 41.3% ($66,800 difference) in Q2 2025 ($94,911 vs $161,711) before narrowing to just 1.1% in Q4. Due to a lack of recorded distinct landlord purchases for all specific timeframes (0 properties), comprehensive acquisition price trends and appreciation cannot be reliably assessed.
Current Quarter Purchases
Landlords secured 35.5% of Q4 SFR purchases in Noble County, totaling 11 properties.
Mom-and-pop landlords (Tiers 01-04) accounted for the vast majority of investor purchases, acquiring 10 properties or 90.9% of all landlord buys. New single-property landlords (Tier 01) were particularly active, with 10 entities purchasing 9 properties during the quarter. Institutional investors (Tier 09) had no purchasing activity.
Ownership by Tier
Mom-and-pop landlords control 97.2% of investor-owned SFR properties in Noble County.
Single-property landlords (Tier 01) form the backbone of the market, holding 752 properties (77.0% of the total). Institutional investors (Tier 09) have no presence, owning 0 properties in the county. Data on acquisition prices by tier and entity counts are not available.
Ownership by Tier & Type
Companies become majority owners at 6-10 properties, controlling 62.5% of this tier.
Individual investors dominate smaller portfolios, representing 91.1% of single-property owners and 83.8% of two-property owners. Beyond the 6-10 property tier, individual ownership appears to regain dominance in the 11-20 property tier (70.0%). Data on acquisition prices by owner type and tier, as well as growth patterns, is not provided.
Geographic Distribution
OH-Noble-43724 leads with 393 investor-owned properties; two zip codes are 100% investor-owned.
OH-Noble-43724 has the highest count of investor-owned properties (393), though its ownership rate is 22.1%. Conversely, OH-Noble-45746 and OH-Noble-43711 exhibit extreme investor saturation, with 100.0% and 90.9% of their SFR properties being investor-owned respectively. Zip codes OH-Noble-43717 and OH-Noble-43780 show both high counts and high ownership rates, indicating strong investor concentration.
Historical Transactions
Noble County landlords are strong net buyers with a 6.0x buy/sell ratio in Q4 2025.
Overall, landlords accumulated 49 properties in 2025 (56 buys vs 7 sells), showing consistent net buying activity. The buy/sell ratio has remained high, peaking at 19.0x in 2024 and 10.0x in Q3 2025 before moderating slightly. Data for institutional investor transactions, inter-landlord trading, and average buy/sell prices is unavailable.
Current Quarter Transactions
Landlords executed 29.3% of Q4 2025 transactions in Noble County.
Single-property landlords (Tier 01) were most active, completing 10 transactions at an average price of $153,021. Notably, 0.0% of all Q4 landlord transactions were sourced from other landlords, suggesting buying primarily from traditional homeowners. Institutional investors (Tier 09) showed no transaction activity.

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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 942 SFR properties in Noble County, with individuals dominating 89.7% of holdings.
Detailed Findings

Landlords in Noble County currently own 942 Single Family Residential (SFR) properties, representing a substantial 29.6% of the county's total SFR market of 3,187 properties. This signifies a significant presence of investors within the local housing landscape.

Individual landlords overwhelmingly dominate the market, holding 845 properties, which accounts for 89.7% of all investor-owned SFR. In contrast, company-owned SFR properties stand at 132, making up a much smaller 14.0% of the landlord portfolio, challenging the narrative of large corporate ownership.

A striking 97.9% of investor-owned properties (922 out of 942) are currently rented, underscoring the strong rental focus of investors in Noble County. This indicates that almost all investor acquisitions are geared towards generating rental income, rather than speculative holding.

The method of acquisition for investor-owned properties shows a clear preference for cash purchases, with 920 properties bought outright. Only a small fraction, 22 properties, are financed, suggesting investors in this market prefer to avoid debt or have significant capital available.

By entity count, individual landlords significantly outnumber companies, with 1,079 individual landlords compared to just 107 company landlords. This 10.08:1 ratio further reinforces the prevalence of small, independent investors over large corporate entities in Noble County.

The high percentage of rented properties, coupled with the dominance of cash acquisitions, reveals a market where independent landlords are actively providing rental housing without heavy reliance on traditional financing, potentially indicating lower risk profiles for these holdings.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 1.1% less than homeowners in Q4 2025 ($151,219 vs $152,957).
Detailed Findings

In Q4 2025, landlords in Noble County acquired properties at an average price of $151,219, securing a 1.1% discount compared to traditional homeowners who paid $152,957. This represents a $1,738 saving per property for investors in the most recent quarter.

The pricing advantage for landlords has shown significant volatility throughout 2025. The largest discount occurred in Q2, where landlords paid a substantial 41.3% less than homeowners, averaging $94,911 compared to $161,711, a difference of $66,800 per property.

Following the drastic Q2 discount, the price gap narrowed considerably, with landlords paying 4.9% less in Q3 ($150,682 vs $158,376) and further reducing to the 1.1% discount observed in Q4. This indicates a tightening market where the landlord's pricing advantage has largely diminished towards the end of the year.

A significant data limitation is present for acquisition trends by timeframe: the provided data shows 0 distinct SFR properties purchased by landlords across all listed quarterly and annual periods for 2024 and 2025, as well as for the 2020-2023 period. While average prices are provided for these periods, the zero purchase volume renders these averages unrepresentative for trend analysis.

Given the absence of transaction counts, it is not possible to reliably assess price appreciation from the pandemic-era (2020-2023 average of $154,271) to Q4 2025 for actual landlord acquisitions. The dramatic swings in price differences suggest a highly variable or thin market for investor purchases.

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 secured 35.5% of Q4 SFR purchases in Noble County, totaling 11 properties.
Detailed Findings

Landlords were significant players in Noble County's Q4 2025 housing market, accounting for 11 of the 31 total SFR purchases, representing a substantial 35.5% share of all transactions. This indicates a strong continued interest from investors in the local market.

The purchasing activity was overwhelmingly concentrated among smaller investors. Mom-and-pop landlords (Tiers 01-04) collectively made 10 purchases, representing 90.9% of all landlord acquisitions for the quarter, highlighting their dominant role in current market activity.

Specifically, single-property landlords (Tier 01) were the most active segment, responsible for 9 of the 11 landlord purchases. These 9 properties were acquired by 10 distinct entities, suggesting a strong influx of new or expanding small-scale investors into the market.

In stark contrast to the small landlord activity, institutional investors (Tier 09, 1000+ properties) made no purchases in Noble County during Q4 2025, holding a 0.0% share of landlord acquisitions. This absence indicates a clear lack of interest or strategic divestment from large corporate players in this specific county.

Beyond Tier 01, activity was minimal, with one two-property landlord (Tier 02) acquiring 1 property and one small-medium landlord (Tier 21-50) also acquiring 1 property. This further solidifies the current quarter's trend of very small-scale investor dominance.

The average properties per entity for Q4 purchases reveals that most buying entities acquired only a single property, such as the 10 entities in Tier 01 purchasing 9 properties, or single entities in Tiers 02 and 21-50 each purchasing one. This suggests a cautious, property-by-property approach rather than large-scale portfolio expansion.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 97.2% of investor-owned SFR properties in Noble County.
Detailed Findings

The ownership landscape in Noble County is overwhelmingly dominated by smaller, independent landlords, with mom-and-pop investors (Tiers 01-04) controlling a staggering 97.2% of all investor-owned SFR properties. This starkly contrasts with common perceptions of institutional market takeover.

The vast majority of this ownership is concentrated in the smallest tier, with single-property landlords (Tier 01) alone holding 752 properties, which represents 77.0% of the total investor portfolio. This highlights the foundational role of first-time or small-scale investors.

Further reinforcing the small-investor dominance, landlords owning between two and ten properties (Tiers 02-04) collectively hold 197 properties, contributing an additional 20.2% to the mom-and-pop share. This wide distribution among smaller investors creates a highly fragmented market.

In stark contrast, institutional investors (Tier 09, 1000+ properties) have no recorded presence in Noble County, owning 0 properties. Even larger mid-size landlords (Tiers 51-100 and 101-1000) hold minimal shares, with just 2 properties (0.2%) and 1 property (0.1%) respectively.

Due to the absence of specific data in Section 8-2, it is not possible to analyze how acquisition prices vary by tier or how the tier distribution has evolved over different timeframes. This limits insights into pricing strategies related to portfolio size.

The current ownership distribution paints a clear picture: Noble County's investor-owned SFR market is a stronghold of independent, local landlords, with no evidence of significant institutional or large-scale corporate influence in current holdings.

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 6-10 properties, controlling 62.5% of this tier.
Detailed Findings

The distribution of individual versus company ownership in Noble County's SFR market reveals a critical crossover point: while individual investors overwhelmingly dominate smaller portfolios, companies become the majority owners within the 'Small landlord (6-10)' tier, controlling 62.5% of properties compared to individuals at 37.5%.

Individual investors are the driving force behind the smallest portfolios, comprising 91.1% of single-property (Tier 01) ownership (708 properties) and 83.8% of two-property (Tier 02) ownership (67 properties). This demonstrates the strong grassroots nature of the market.

As portfolio size increases slightly to the 'Small landlord (3-5)' tier, individual ownership remains substantial at 75.3% (70 properties), with companies holding 24.7% (23 properties). This trend continues until the 6-10 property range, where the shift occurs.

Intriguingly, the pattern reverses in the 'Small-medium (11-20)' tier, where individual ownership once again takes a significant lead, holding 70.0% (14 properties) compared to companies at 30.0% (6 properties). This suggests a nuanced market structure rather than a simple linear progression of corporate dominance with size.

The 'Small landlord (6-10)' tier exhibits the highest concentration of company ownership among the available data, with 15 company-owned properties making up 62.5% of that tier. Conversely, the 'Single-property (1)' tier shows the highest individual concentration with 708 individually-owned properties.

A limitation in the provided data is the absence of acquisition price comparisons between individual and company buyers within each tier. Additionally, there is no data to assess how growth patterns differ by owner type across all-time versus Q4, precluding insights into recent shifts in investor type activity.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
OH-Noble-43724 leads with 393 investor-owned properties; two zip codes are 100% investor-owned.
Detailed Findings

Investor activity in Noble County exhibits distinct geographic concentrations at the zip code level. OH-Noble-43724 leads by count with 393 investor-owned properties, though its investor ownership rate is 22.1%, suggesting it is a larger market area with a substantial SFR inventory.

In contrast, other zip codes demonstrate extremely high investor saturation, notably OH-Noble-45746 where 100.0% of SFR properties are investor-owned, and OH-Noble-43711 with 90.9%. These areas, despite likely having smaller total SFR inventories, are almost entirely comprised of rental housing.

A clear correlation exists for certain regions where high property counts align with high ownership rates. OH-Noble-43717 (59 properties, 75.6% rate) and OH-Noble-43780 (179 properties, 57.2% rate) both feature prominently in the top 5 by count and by percentage, indicating highly concentrated investor interest and penetration.

Other significant zip codes by count include OH-Noble-43779 with 55 investor-owned properties (25.5% rate) and OH-Noble-43773 with 52 properties (25.0% rate). These regions represent further areas of substantial landlord presence within Noble County.

The wide variation in investor ownership rates across zip codes, from 100.0% down to 22.1% (for top-count regions), underscores the localized nature of investor strategies and market dynamics within Noble County. This suggests that certain micro-markets are far more attractive or accessible to investors than others.

Data regarding total SFR inventory, landlord entities, and acquisition prices for these specific sub-geographies were not provided, which limits a deeper analysis into the drivers behind these varying investor concentrations and price dynamics across zip codes.

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
Noble County landlords are strong net buyers with a 6.0x buy/sell ratio in Q4 2025.
Detailed Findings

Landlords in Noble County consistently demonstrate a strong net buyer position across all recorded timeframes. In Q4 2025, they acquired 12 properties while selling only 2, resulting in a robust buy/sell ratio of 6.0x and a net accumulation of 10 properties.

This trend of aggressive buying is consistent throughout 2025, with landlords accumulating a net total of 49 properties (56 buys vs 7 sells). The highest quarterly net gain was in Q2 2025, with 21 properties added to portfolios (24 buys vs 3 sells), yielding an 8.0x buy/sell ratio.

Looking back, 2024 also exhibited exceptionally strong net buying, with landlords making 19 purchases against just 1 sale, resulting in an impressive 19.0x buy/sell ratio and a net gain of 18 properties. This long-term trend underscores sustained investor confidence in the Noble County market.

The buy/sell ratio, while consistently high, shows some quarterly fluctuation; it was 19.0x in 2024, 10.0x in Q3 2025, and 6.0x in Q4 2025. Despite this moderation, landlords remain significantly more active in acquiring properties than divesting them.

Crucially, data regarding transactions specifically by institutional investors (1000+ tier) is not provided. This absence prevents an assessment of whether large-scale corporate entities are mirroring or contrasting the overall landlord trend of net accumulation.

Similarly, information on the percentage of buy or sell transactions involving other landlords (inter-landlord trading) and the average buy and sell prices for all landlords is unavailable. This limits a more detailed analysis of market liquidity and potential implied profit margins on transactions.

Current Quarter Transactions

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

Key Insight
Landlords executed 29.3% of Q4 2025 transactions in Noble County.
Detailed Findings

Landlords in Noble County represented a substantial portion of Q4 2025 market activity, accounting for 12 of the 41 total SFR transactions, which translates to a 29.3% share. This indicates their continued influence on the local housing market.

Transaction volumes were heavily concentrated among the smallest investors. Single-property landlords (Tier 01) executed 10 transactions, dominating the landlord activity for the quarter. In contrast, larger tiers like Tier 02 and Tier 21-50 each recorded only 1 transaction, underscoring the fragmented nature of investor participation.

The average purchase price for single-property landlords (Tier 01) was $153,021 in Q4. Interestingly, the 'Small-medium (21-50)' tier recorded a lower average purchase price of $135,000 for its single transaction, indicating that larger-portfolio buyers (or at least one such buyer) might be targeting different price points or distressed assets. No price was available for Tier 02 transactions.

A significant finding is the complete absence of inter-landlord trading in Q4; 0.0% of transactions across all active tiers (Tier 01, 02, 21-50) were "Bought From Landlords." This implies that landlords primarily acquired properties directly from non-landlord sellers, likely traditional homeowners.

The price spread between the highest and lowest reported tier prices for Q4 transactions was $18,021, with Tier 01 properties averaging $153,021 and Tier 21-50 properties averaging $135,000. This relatively narrow spread suggests a consistent market valuation despite varying investor sizes.

The Q4 transaction activity by tier largely mirrors the overall ownership distribution. Tier 01, which accounts for 77.0% of all landlord-owned properties, also dominated the transaction volume with 10 purchases, reinforcing its consistent role as the most active segment of the investor market. Institutional investors (Tier 09) again showed no activity.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-pop landlords overwhelmingly dominate Noble County's market; institutional investors absent.
Holdings
Landlords in Noble County own 942 SFR properties, constituting 29.6% of the total SFR market of 3,187 properties. Individual investors hold 845 properties (89.7%), significantly outweighing company ownership at 132 properties (14.0%).
Pricing
Landlords paid an average of $151,219 in Q4 2025, securing a 1.1% discount or $1,738 less than traditional homeowners who paid $152,957. The landlord discount has narrowed significantly from its peak of 41.3% in Q2 2025.
Activity
Landlords accounted for 35.5% of Q4 SFR purchases, acquiring 11 properties, with 10 distinct single-property landlords (Tier 01) entering the market or expanding their portfolios. Mom-and-pop landlords (Tiers 01-04) made 90.9% of all landlord purchases, while institutional investors showed no activity.
Market Share
Mom-and-pop landlords (Tiers 01-04) control an overwhelming 97.2% of investor-owned SFR housing, with single-property landlords (Tier 01) alone holding 77.0%. Institutional investors (Tier 09) have no market presence, owning 0.0% of properties.
Ownership Type
Individual investors dominate the small-portfolio market, but companies become the majority owner in the 'Small landlord (6-10)' tier, holding 62.5% of properties in that segment. However, individuals regain majority in the 'Small-medium (11-20)' tier (70.0%).
Transactions
Landlords are consistent net buyers in Noble County, with a Q4 2025 buy/sell ratio of 6.0x (12 buys vs 2 sells). Institutional investors (1000+ tier) showed no transaction activity in Q4 or historically in the provided data.
Market Narrative

Noble County's Single Family Residential (SFR) market is notably characterized by robust investor activity, with landlords holding 942 properties, representing 29.6% of the total 3,187 SFR homes. This significant market penetration is overwhelmingly driven by individual investors, who own 845 properties (89.7%) compared to companies at 132 properties (14.0%), challenging any notion of corporate dominance. The market in Noble County is profoundly shaped by mom-and-pop landlords (1-10 properties), who collectively control a staggering 97.2% of all investor-owned housing, while institutional investors (1000+ properties) are entirely absent from the ownership landscape.

Investor behavior in Noble County consistently points to a market of accumulation. Landlords captured a substantial 35.5% of all SFR purchases in Q4 2025, acquiring 11 properties. Although landlords generally secured a 1.1% discount compared to traditional homeowners in Q4, this advantage has narrowed significantly from a peak of 41.3% in Q2, indicating a more competitive buying environment. Throughout 2025, landlords maintained a strong net buyer position, accumulating 49 properties, with Q4 alone showing a 6.0x buy/sell ratio, emphasizing their ongoing commitment to expanding their portfolios.

The pronounced dominance of individual, small-scale landlords, coupled with the absence of institutional players and a persistent net-buyer trend, indicates a healthy, fragmented, and locally-driven rental market in Noble County. The high rate of cash acquisitions and rented properties suggests stability, as these landlords are actively providing housing without heavy reliance on financing. This dynamic positions Noble County as a resilient market for independent investors, driven by local capital and grassroots engagement rather than large-scale corporate influence.

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 08:19 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyNoble (OH)
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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