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

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

Market Overview

Total SFR Properties in Mitchell (TX)
2,241
Total Investors in Mitchell (TX)
804
Investor Owned SFR in Mitchell (TX)
787(35.1%)
Individual Landlords
Landlords
685
SFR Owned
622
Corporate Landlords
Landlords
119
SFR Owned
181
Understanding Property Counts

Distinct Count Methodology: The total 787 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 Mitchell County; Net Buyers with Deep Discounts as Institutions Retreat
Landlords in Mitchell County, Texas, control 787 SFR properties, representing 35.1% of the market, with individuals holding a substantial 79.0% share. In Q4 2025, landlords secured 14 purchases, comprising 46.7% of all SFR sales, often at significant discounts. Overall, landlords are net buyers with a 4.88x buy/sell ratio in 2025, a stark contrast to institutional investors who are net neutral/sellers.
Landlord Owned Current Holdings
Individual Landlords Dominate Mitchell County's Investor Holdings, Owning 79.0% of SFR Properties
Of the 787 investor-owned SFR properties in Mitchell County, 767 (97.5%) are rented, indicating a strong rental market focus. A significant 81.3% of these properties were acquired with cash, and individual landlords outnumber companies by a ratio of 5.76 to 1 (685 vs 119 entities).
Landlord vs Traditional Homeowners
Landlords Secure 39.8% Discount in Q4, Paying $54,494 Less Than Homeowners
The landlord price discount has narrowed significantly in 2025, decreasing from an 86.1% advantage in Q1 ($138,078 difference) to 39.8% in Q4 2025. While average acquisition prices for landlords are provided, specific landlord purchase volumes for recent timeframes in this dataset are listed as zero, indicating data sparsity or a discrepancy with other activity reports.
Current Quarter Purchases
Landlords Captured 46.7% of Q4 SFR Purchases, Driven by Mom-and-Pop Investors
Mom-and-pop landlords (Tiers 01-04) accounted for 73.3% (11 properties) of all landlord purchases in Q4 2025, while institutional investors (Tier 09) made only 1 purchase (6.7%). Eight new single-property landlords entered the market, representing over half of all landlord buying activity (53.3%).
Ownership by Tier
Mom-and-Pop Landlords Control 95.0% of Investor-Owned SFR Properties in Mitchell County
Single-property landlords (Tier 01) form the backbone of investor ownership, holding 68.3% (549 properties) of the total landlord portfolio. In stark contrast, institutional investors (Tier 09, 1000+ properties) possess a negligible 0.2% (2 properties) of the market. Q4 transaction data reveals single-property landlords paid $121,362, while institutional investors paid $92,800, a 23.5% difference.
Ownership by Tier & Type
Companies Become Majority Owners at the 11-20 Property Tier in Mitchell County
Individual investors dominate smaller portfolios, holding 85.5% of single-property (Tier 01) and 77.4% of two-property (Tier 02) landlord-owned SFRs. However, company ownership surges to 95.8% for portfolios within the 11-20 property tier, demonstrating a clear shift in ownership structure as portfolio size increases.
Geographic Distribution
Mitchell County's Investor Activity Concentrated in 79512, with 79565 Showing Highest Penetration Rate
The 79512 zip code leads in total investor-owned properties with 669 units, representing 34.2% of its SFR market. However, the 79565 zip code exhibits the highest investor penetration rate at 58.4%, despite having a smaller portfolio of 45 investor-owned properties. These two metrics, count and rate, do not perfectly correlate across the county's sub-geographies.
Historical Transactions
Mitchell County Landlords are Strong Net Buyers with a 4.88x Buy/Sell Ratio in 2025, While Institutions are Net Neutral/Sellers
Overall landlords bought 83 properties and sold 17 in 2025, accumulating 66 properties. Institutional investors (1000+ tier) maintained a net neutral position in 2025 (1 buy vs 1 sell) and were net sellers in 2024 (1 buy vs 2 sells), indicating a divestment or stable holding strategy.
Current Quarter Transactions
Landlords Accounted for 42.5% of All Q4 Transactions, Led by Single-Property Buyers
Single-property (Tier 01) landlords executed the most transactions (8), paying an average of $121,362. Institutional investors (Tier 09) made only one transaction at an average price of $92,800, representing a 23.5% discount compared to single-property buyers. Notably, 100.0% of the small landlord (3-5 properties) transactions involved buying from another landlord.

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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 Dominate Mitchell County's Investor Holdings, Owning 79.0% of SFR Properties
Detailed Findings

Mitchell County's real estate market sees significant investor penetration, with landlords owning 787 Single Family Residential (SFR) properties, accounting for 35.1% of the total SFR market. This establishes a substantial investor presence within the county.

Individual investors, often described as 'mom-and-pop' landlords, overwhelmingly dominate the ownership landscape, holding 622 (79.0%) of all investor-owned SFR properties. In contrast, company-owned properties make up a smaller segment with 181 (23.0%) units.

The prevalence of individual landlords extends to entity counts, where 685 individual landlords significantly outnumber the 119 company landlords, yielding a ratio of 5.76 individual landlords for every company landlord. This highlights the largely individual-driven nature of the investor market in Mitchell County.

A vast majority of landlord-owned properties are utilized for rental purposes, with 767 properties (97.5% of the investor-owned portfolio) designated as rented. This underscores the rental-focused strategy of investors in the area.

The financing structure of investor portfolios reveals a strong preference for cash acquisitions; 640 properties (81.3%) were purchased with cash, while 147 properties (18.7%) were financed. This suggests a tendency towards minimizing leverage among Mitchell County investors.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords Secure 39.8% Discount in Q4, Paying $54,494 Less Than Homeowners
Detailed Findings

In Q4 2025, landlords in Mitchell County paid an average of $82,446 for SFR properties, securing a substantial 39.8% discount compared to traditional homeowners who paid $136,940. This represents a significant $54,494 price advantage per property for investor buyers.

The landlord price advantage, while still considerable, has shown a narrowing trend throughout 2025. The discount decreased from an impressive 86.1% ($138,078 difference) in Q1 to 65.6% in Q2, 47.9% in Q3, and settled at 39.8% in Q4. This signals a tightening market or changing acquisition strategies.

A notable data inconsistency exists: while average landlord acquisition prices are reported for several timeframes (e.g., Q4 2025 at $82,446), the corresponding 'Distinct SFR Properties Purchased' for landlords in these same timeframes are listed as 0. This suggests that the listed average prices might be imputed or derived from a broader data set rather than actual reported transactions within this specific county's landlord activity for those periods.

Despite the data sparsity in landlord acquisition counts for recent quarters, the consistently lower average prices for landlords across all reported periods (e.g., $66,297 for Year 2025 vs $123,748 for homeowners in Q2 2025) suggest that when investors do acquire properties, they consistently achieve favorable pricing compared to individual homeowners.

The average landlord acquisition price for Year 2025 was $66,297, rising to $82,446 by Q4 2025. This indicates a general upward trend in investor acquisition costs, even with the aforementioned data limitations on transaction volumes.

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 46.7% of Q4 SFR Purchases, Driven by Mom-and-Pop Investors
Detailed Findings

Landlords demonstrated significant buying activity in Mitchell County during Q4 2025, accounting for 14 of the 30 total SFR purchases, which represents 46.7% of the market. This indicates a strong investor appetite for properties in the current quarter.

The overwhelming majority of this purchasing power came from smaller investors, with mom-and-pop landlords (Tiers 01-04) collectively acquiring 11 properties, making up 73.3% of all landlord purchases in Q4. This reinforces their role as the primary drivers of investor activity.

Single-property landlords (Tier 01) were particularly active, purchasing 8 properties and representing 53.3% of all landlord Q4 acquisitions. These 8 entities suggest a notable influx of new, smaller-scale investors entering the market.

In stark contrast to smaller investors, institutional investors (Tier 09, 1000+ properties) made only 1 purchase in Q4 2025, comprising a modest 6.7% of total landlord acquisitions. This highlights the minimal direct buying presence of large institutions in Mitchell County's current market.

Beyond single-property buyers, small-medium landlords (Tiers 11-20) also contributed, acquiring 2 properties (13.3%) through a single entity, demonstrating varied activity across the smaller to mid-size tiers.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-Pop Landlords Control 95.0% of Investor-Owned SFR Properties in Mitchell County
Detailed Findings

Mom-and-pop landlords, encompassing those owning 1 to 10 properties (Tiers 01-04), collectively control a dominant 95.0% of all investor-owned SFR properties in Mitchell County. This signifies that small-scale investors are the overwhelming force in the county's rental housing market.

The largest segment within this mom-and-pop group is single-property landlords (Tier 01), who alone account for 549 properties, representing 68.3% of the total landlord-owned portfolio. This demonstrates the market's heavy reliance on first-time or casual investors.

In stark contrast, institutional investors (Tier 09, with 1000+ properties) hold a minimal share, owning just 2 properties, which translates to a mere 0.2% of the total investor-owned SFR. This suggests a negligible direct impact from large corporate landlords in this county.

The distribution shows a clear tapering off of ownership as portfolio size increases; for example, Tiers 05-08 (11-1000 properties) together hold less than 5% of the total, with the largest tiers having single-digit property counts.

While general tier pricing data is not available, Q4 transaction data (Section 12) indicates a pricing disparity: single-property landlords paid an average of $121,362, whereas the institutional investor acquisition price was $92,800 for their single Q4 transaction. This represents a 23.5% lower price paid by the institutional buyer compared to a Tier 01 buyer.

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 11-20 Property Tier in Mitchell County
Detailed Findings

The ownership structure in Mitchell County exhibits a distinct crossover point: individual investors predominantly own smaller portfolios, but companies become the majority owners once portfolios reach the 11-20 property tier.

Individual investors hold the vast majority of properties in the smaller tiers, commanding 85.5% of single-property portfolios (Tier 01) and 77.4% of two-property portfolios (Tier 02). This highlights the grassroots nature of the entry-level investment market.

Even in slightly larger 'small landlord' categories, individuals maintain a strong lead; for instance, they own 76.2% of properties in the 3-5 property tier and a narrow majority of 52.8% in the 6-10 property tier.

The definitive shift occurs at the 'small-medium' 11-20 property tier, where company ownership skyrockets to 95.8% (23 properties), relegating individual ownership to a mere 4.2% (1 property). This clearly marks the point where corporate entities become the dominant owners.

This pattern suggests that while individual investors build up smaller portfolios, the scalability and capital requirements for larger portfolios tend to favor corporate structures, leading to a concentrated shift in ownership type at specific tier thresholds.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Mitchell County's Investor Activity Concentrated in 79512, with 79565 Showing Highest Penetration Rate
Detailed Findings

Investor-owned properties in Mitchell County are geographically concentrated, with the 79512 zip code leading significantly in total landlord-owned property count at 669. This area also boasts a substantial investor ownership rate of 34.2%.

While 79512 has the highest count, the 79565 zip code exhibits the highest investor ownership rate, with a remarkable 58.4% of its SFR properties being investor-owned. This indicates that over half of all residential properties in this area are held by landlords, suggesting a mature or highly targeted rental market.

The third most active sub-geography by count is 79532, with 73 investor-owned properties and a 34.8% ownership rate. This area's rate is marginally higher than 79512's, even with a much smaller total count.

A clear distinction emerges between regions with high volumes of investor-owned properties and those with high investor penetration rates. The top region by count (79512) does not have the highest rate, while the highest rate region (79565) has a relatively low count, indicating different investment dynamics in various zip codes within Mitchell County.

The substantial investor presence in these top three zip codes underscores the importance of these areas for the county's rental housing supply and market dynamics, as they collectively account for the vast majority of investor activity and ownership 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
Mitchell County Landlords are Strong Net Buyers with a 4.88x Buy/Sell Ratio in 2025, While Institutions are Net Neutral/Sellers
Detailed Findings

Landlords in Mitchell County are consistently net buyers of SFR properties, demonstrating a strong accumulation trend. In 2025, they purchased 83 properties while selling only 17, resulting in a robust buy/sell ratio of 4.88x and a net gain of 66 properties.

This net buying trend has been consistent across recent quarters, with Q4 2025 showing 17 buys versus 5 sells (3.4x ratio), Q3 2025 at 31 buys versus 5 sells (6.2x ratio), and Q2 2025 at 26 buys versus 5 sells (5.2x ratio).

The overall landlord activity contrasts sharply with that of institutional investors (1000+ properties). In 2025, institutional players were net neutral, buying 1 property and selling 1. This follows a net seller position in 2024, where they bought 1 and sold 2 properties, indicating a stable or divesting approach rather than active accumulation.

The sustained net buying by the broader landlord base, predominantly mom-and-pop investors, suggests ongoing confidence in the Mitchell County market and a continued expansion of smaller rental portfolios.

Despite fluctuating quarterly buy/sell ratios, the consistent positive net position for all landlords, both annually and quarterly, solidifies their role as market accumulators, contrasting with the more cautious or exiting behavior of institutional capital.

Current Quarter Transactions

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

Key Insight
Landlords Accounted for 42.5% of All Q4 Transactions, Led by Single-Property Buyers
Detailed Findings

Landlords were significant players in Mitchell County's Q4 2025 market, participating in 17 out of 40 total SFR transactions, which constitutes a substantial 42.5% share. This highlights their active role in shaping the quarter's real estate dynamics.

Transaction volume was highest among single-property landlords (Tier 01), who completed 8 transactions. This reinforces their dominance in both overall ownership and active market participation.

A notable price discrepancy exists among tiers: single-property landlords (Tier 01) paid the highest average price at $121,362 per property in Q4. In contrast, institutional investors (Tier 09) transacted their single property at $92,800, securing a 23.5% discount compared to the average Tier 01 purchase price.

Inter-landlord trading activity varied across tiers; notably, 100.0% of the small landlord (3-5 properties) transactions involved buying from another landlord. Single-property landlords also showed some inter-landlord engagement, with 25.0% of their transactions being from other landlords.

The lowest average purchase price observed in Q4 was by small-medium landlords (Tier 21-50) at $33,601, indicating diverse pricing strategies or asset quality preferences across investor segments.

Comparing Q4 transaction activity to overall ownership distribution, the high transaction volume for Tier 01 (8 transactions) aligns with its leading ownership share (68.3%), suggesting consistent engagement from small-scale investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Drive Mitchell County Market, Outnumbering Institutions and Securing Discounts
Holdings
Landlords in Mitchell County, Texas, collectively own 787 SFR properties, constituting 35.1% of the county's total SFR market. Individual investors hold the lion's share, owning 622 properties (79.0%), while company-owned properties represent 181 (23.0%).
Pricing
Landlords paid an average of $82,446 in Q4 2025, securing a 39.8% discount compared to traditional homeowners who paid $136,940, representing a $54,494 savings per property.
Activity
In Q4 2025, landlords completed 14 purchases, accounting for 46.7% of all SFR sales. Single-property landlords (Tier 01) drove this activity, with 8 entities entering the market and dominating buying volume.
Market Share
Small landlords (1-10 properties) control an overwhelming 95.0% of investor-owned housing in Mitchell County, while institutional investors (1000+ properties) own a negligible 0.2%.
Ownership Type
Individual investors hold the majority in smaller portfolios (up to 10 properties), but company ownership takes decisive control in portfolios exceeding 10 properties, becoming 95.8% majority in the 11-20 property tier.
Transactions
Overall, landlords in Mitchell County are strong net buyers with a 4.88x buy/sell ratio in 2025 (83 buys vs 17 sells), whereas institutional investors are net neutral/sellers, with 1 buy and 1 sell in 2025.
Market Narrative

Mitchell County's real estate market is significantly shaped by its investor base, with landlords owning 787 Single Family Residential (SFR) properties, representing a substantial 35.1% of the total SFR market. This investor landscape is overwhelmingly dominated by individual investors, who hold 622 properties (79.0% of the landlord-owned portfolio), far surpassing company ownership. Small-scale 'mom-and-pop' landlords, specifically those with 1 to 10 properties, control an impressive 95.0% of all investor-owned housing in Mitchell County, underscoring their critical role in the rental housing supply, while institutional investors hold a negligible 0.2%.

Investor behavior in Mitchell County, Texas, indicates a clear pattern of accumulation and strategic purchasing. In Q4 2025, landlords were highly active, acquiring 14 properties and comprising 46.7% of all SFR purchases. This activity was largely spearheaded by new single-property landlords, with 8 entities entering the market. Landlords consistently demonstrate superior deal-making ability, securing a 39.8% discount compared to traditional homeowners in Q4, paying $54,494 less per property. Over the entirety of 2025, landlords have maintained a robust net buyer position with a 4.88x buy/sell ratio, actively expanding their portfolios.

The data reveals a dynamic market driven by a distributed network of small investors in Mitchell County, contrasting sharply with the limited and largely static presence of institutional capital. The high concentration of mom-and-pop landlords, combined with their net buying activity and significant pricing advantages, suggests a resilient and accessible market for individual investors. The geographic concentration of investor properties in specific zip codes further points to targeted investment strategies within the county, reinforcing the importance of localized market analysis for understanding its unique real estate trends.

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 03:03 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyMitchell (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 Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail