Woods (OK) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Woods (OK)
3,112
Total Investors in Woods (OK)
1,162
Investor Owned SFR in Woods (OK)
1,103(35.4%)
Individual Landlords
Landlords
1,003
SFR Owned
896
Corporate Landlords
Landlords
159
SFR Owned
228
Understanding Property Counts

Distinct Count Methodology: The total 1,103 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

Woods County's investor market is defined by small, cash-only landlords owning 35.4% of SFRs with zero institutional presence.
Individual investors own 81.2% of the 1,103 landlord-held properties, with mom-and-pop landlords (1-10 properties) controlling 99.3% of that stock. Historically, landlords have been strong net buyers, though no purchase activity was recorded in the most recent quarter.
Landlord Owned Current Holdings
Investors own 1,103 SFRs in Woods County, with individual landlords holding 81.2% of the portfolio.
The entire investor-owned portfolio of 1,103 properties is held in cash, with zero financed properties recorded. Of these, 1,073 are classified as rented properties. Individual landlords (1,003) vastly outnumber company landlords (159).
Landlord vs Traditional Homeowners
Landlords historically acquired properties at a massive 79.7% discount compared to traditional homeowners in Woods County.
The price gap between landlords and homeowners appeared to widen dramatically, moving from a 42.1% landlord discount in Q1 2025 to 79.7% in Q2 2025. However, these figures are based on periods with zero recorded landlord purchases, indicating the averages may be based on thin or historical data.
Current Quarter Purchases
Landlord purchase activity was 0.0% in Q4 2025, as no SFR sales were recorded for any buyer type.
No purchases were attributed to any investor tier, including mom-and-pop (Tiers 01-04) or institutional (Tier 09) landlords. The complete lack of recorded transactions indicates a market pause or data reporting lag for the period.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a near-total 99.3% of investor-owned SFRs in Woods County.
Single-property landlords are the foundation of the market, owning 742 properties, which represents 61.6% of all investor-owned housing. Institutional investors (1,000+ properties) have absolutely no presence, with a 0.0% market share.
Ownership by Tier & Type
Individual investors are the dominant majority owners in every single landlord tier in Woods County.
Companies fail to become the majority at any portfolio size; even in the 6-10 property tier, they own just 44.6% of properties compared to individuals' 55.4%. Among single-property landlords, individuals own 85.0% of the homes.
Geographic Distribution
Investor activity is hyper-concentrated, with one zip code, 73717, containing 71.9% of all investor-owned homes.
Several zip codes exhibit high investor ownership rates, led by 73860 at 43.2% and 73731 at 42.5%. The area with the highest property count (73717) has a slightly lower penetration rate of 33.5%.
Historical Transactions
Landlords in Woods County are historically strong net buyers, with a 7.5-to-1 buy-to-sell ratio in 2024.
The trend of accumulation continued into 2025, where landlords acquired 19 properties while only selling one. There is no transaction data for institutional investors, aligning with their 0% ownership in the county.
Current Quarter Transactions
The landlord share of transactions was 0.0% in Q1, as no recorded transactions occurred across the entire market.
No transactions were logged for any investor tier, from single-property to institutional. This prevents any analysis of Q1 pricing strategies or inter-landlord trading 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
Investors own 1,103 SFRs in Woods County, with individual landlords holding 81.2% of the portfolio.
Detailed Findings

In Woods County, investors hold a significant 1,103 Single-Family Residential (SFR) properties, making up 35.4% of the total market of 3,112 SFRs. This indicates a substantial rental market and a high concentration of real estate investing activity relative to the market's size.

The ownership structure is overwhelmingly dominated by individuals. Individual landlords own 896 properties, or 81.2% of the investor portfolio, while companies own the remaining 228 properties (20.7%). This challenges the common narrative of corporate dominance in rental markets.

A defining characteristic of this market is its reliance on all-cash holdings. Data shows that 100% of the 1,103 investor-owned properties are owned outright, with zero properties recorded as being financed. This suggests investors in this area are well-capitalized and not reliant on leverage.

The number of landlord entities reflects the property ownership split, with 1,003 individual landlords compared to just 159 company landlords. This highlights that the market is composed of a large base of small, independent operators rather than a few large firms.

The primary use of these properties is for rental income, with 1,073 of the 1,103 properties identified as rented. This high rental penetration underscores the importance of landlords in providing housing for the local community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords historically acquired properties at a massive 79.7% discount compared to traditional homeowners in Woods County.
Detailed Findings

Analysis of historical pricing data reveals a stark difference in acquisition costs between landlords and traditional homeowners in Woods County. In Q2 2025, the average landlord acquisition price was recorded at $34,350, a staggering $134,900 (or 79.7%) less than the homeowner average of $169,250.

This price advantage for landlords was also evident in the prior quarter, Q1 2025, where they paid an average of $90,714 compared to homeowners at $156,579. This represents a 42.1% discount, or a savings of $65,865 per property.

It is critical to note that for the periods showing these large discounts (Q1 and Q2 2025), there were zero distinct SFR properties recorded as purchased by landlords. This suggests the average prices are calculated from a limited or historical dataset and do not reflect current, active market transactions.

The overall price trend for landlords shows a decrease from an average of $101,185 in 2024 to a calculated average of $57,559 for 2025. This contrasts with the pandemic-era (2020-2023) average of $79,339, though all recent figures are impacted by the lack of transaction volume.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Key Insight
Landlord purchase activity was 0.0% in Q4 2025, as no SFR sales were recorded for any buyer type.
Detailed Findings

In Q4 2025, the Woods County real estate market saw a complete halt in recorded transaction activity. Landlords purchased zero properties, accounting for 0.0% of the total market share, as the total market itself recorded zero SFR purchases.

This lack of activity was universal across all investor sizes. Mom-and-pop landlords, who constitute the vast majority of owners in the county, made no new acquisitions during this period. Likewise, there was no purchasing from mid-size or institutional investors.

The data indicates no new landlords entered the market in Q4, as the single-property (Tier 01) category, a proxy for new investors, recorded zero purchases. This is a significant deviation from historical trends where landlords have been active buyers.

This pause in acquisitions prevents an analysis of which investor tiers were most active. The data suggests a market freeze, where neither landlords nor traditional homeowners completed recorded transactions during the fourth quarter.

The complete absence of sales activity is the most significant finding for this period. It could signify a number of factors, including a lack of available inventory, a mismatch in buyer and seller expectations, or a lag in the reporting of transactional data.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a near-total 99.3% of investor-owned SFRs in Woods County.
Detailed Findings

The investor landscape in Woods County is definitively shaped by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively own 99.3% of all investor-held SFRs, demonstrating their critical role in the local housing market.

First-time or single-property investors (Tier 01) form the largest single segment, controlling 742 properties. This accounts for 61.6% of the entire investor portfolio, highlighting the market's reliance on small, independent landlords.

The distribution of ownership is heavily skewed towards the smallest tiers. Following single-property owners, landlords with 3-5 properties represent the next largest group, owning 245 properties or 20.3% of the portfolio.

In stark contrast to national headlines, institutional investors (Tier 09, 1,000+ properties) have zero presence in Woods County. Their market share is 0.0%, indicating this market is not a target for large-scale corporate investment.

Even mid-size landlords are exceedingly rare. Investors owning 11-50 properties collectively control just nine properties, or less than 1% of the total investor-owned stock, further cementing the market's small-investor character.

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 are the dominant majority owners in every single landlord tier in Woods County.
Detailed Findings

In Woods County, individual investors maintain majority ownership across all portfolio sizes, with no crossover point where companies take control. This pattern reinforces the market's person-to-person, rather than corporate, nature.

Even as portfolio sizes increase, individuals remain dominant. In the 6-10 property tier, the highest tier with a significant number of properties, individuals own 41 homes (55.4%) while companies own 33 (44.6%).

The dominance of individuals is most pronounced at the entry level. Among single-property landlords, 641 properties (85.0%) are owned by individuals, compared to just 113 (15.0%) owned by companies. This suggests the path to becoming a landlord in this area is primarily an individual endeavor.

The data shows a consistent pattern: the share of company ownership increases slightly with portfolio size but never surpasses that of individual investors. For example, companies own just 17.4% of two-property portfolios and 22.1% of 3-5 property portfolios.

This ownership structure indicates that the rental market in Woods County is likely managed directly by local owners, differing significantly from markets with heavy corporate landlord presence.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is hyper-concentrated, with one zip code, 73717, containing 71.9% of all investor-owned homes.
Detailed Findings

The geographic distribution of investor-owned properties in Woods County is extremely concentrated. A single zip code, OK-Woods-73717, is home to 793 investor properties, which accounts for 71.9% of the county's entire investor portfolio.

While 73717 leads by sheer volume, other areas show higher market penetration by investors. The zip code 73860 has the highest investor ownership rate at 43.2%, with 227 of its properties being investor-owned. This is followed closely by 73731, with a 42.5% rate.

This highlights a key distinction between concentration by count and concentration by rate. The area with the most investor properties does not necessarily have the highest percentage of them, pointing to different market dynamics within the county's sub-regions.

The top five zip codes by investor property count are 73717 (793 properties), 73860 (227), 73842 (44), 73731 (34), and 73726 (nan). This short list accounts for nearly the entire investor portfolio, showing a lack of broad distribution.

Analyzing this geographic data is crucial for understanding local market dynamics. The heavy concentration suggests that certain neighborhoods or towns are focal points for rental housing and investment, which can be further explored using comprehensive property datasets.

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
Landlords in Woods County are historically strong net buyers, with a 7.5-to-1 buy-to-sell ratio in 2024.
Detailed Findings

Historical transaction data shows that landlords in Woods County are consistently in a phase of portfolio accumulation. In 2024, they were strong net buyers, purchasing 45 properties while only selling 6, resulting in a net gain of 39 properties and a 7.5x buy/sell ratio.

This net buying activity carried into 2025, with records showing 19 properties purchased versus only a single property sold. This demonstrates a continued strategy of growth and a long-term belief in the local market among investors.

The data reflects a market where landlords are holding onto their assets rather than flipping or divesting. The low sales volume relative to purchases signals a stable, long-term rental market.

Consistent with their absence in ownership data, institutional investors (1,000+ properties) recorded no buy or sell transactions. The entirety of investor transaction activity is driven by the smaller mom-and-pop and mid-size landlords who dominate the area.

This pattern of net accumulation suggests that the 35.4% investor market share in Woods County is likely to hold steady or grow, provided that acquisition opportunities become available again after the recent pause in market activity.

Current Quarter Transactions

Q1 2026 transaction analysis by tier, price, and inter-landlord activity

Key Insight
The landlord share of transactions was 0.0% in Q1, as no recorded transactions occurred across the entire market.
Detailed Findings

In Q1, landlords were involved in 0.0% of market transactions, a figure driven by the fact that there were zero total SFR transactions recorded in Woods County for the period. The market showed no signs of transactional activity from any party.

This lack of activity was consistent across all investor portfolio sizes. Mom-and-pop landlords (Tiers 01-04), who are the most numerous owners, did not transact. Similarly, no transactions were recorded for any mid-sized or institutional investors.

As a result, it is impossible to determine an average purchase price by tier for Q1. The absence of data precludes any analysis of whether smaller investors paid more or less than their larger, albeit non-existent, counterparts in the quarter.

There was also no inter-landlord trading activity. The percentage of properties bought from other landlords was 0%, as no acquisitions of any kind were recorded. This indicates a complete lack of liquidity within the investor market for the period.

The primary finding for Q1 transactions is the market-wide standstill. This halt in sales activity, affecting all buyer and seller types, is the most significant event of the quarter, pointing to potential data lags or severe market illiquidity.

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Executive Summary

Woods County's investor market is dominated by small, cash-only landlords who own 35.4% of SFRs, with no institutional presence.
Holdings
Landlords own 1,103 SFR properties in Woods County, representing 35.4% of the total market. Individual investors overwhelmingly dominate, holding 896 properties (81.2%) compared to companies with 228 (20.7%).
Pricing
Historical data shows landlords acquiring properties at a significant 42.1% discount to traditional homeowners in early 2025 ($90,714 vs $156,579), though no recent purchases were recorded to confirm this trend.
Activity
No landlord purchase activity was recorded in the most recent quarter. Historically, landlords have been active net buyers, acquiring 45 properties in 2024.
Market Share
The market is almost entirely controlled by small investors (1-10 properties), who own 99.3% of the investor-held housing stock. Institutional investors (1000+ properties) have a 0.0% share.
Ownership Type
Individual investors are the majority owners in every portfolio size, with companies failing to gain a majority even in the 6-10 property tier. The entire portfolio of 1,103 properties is held in cash.
Transactions
Historically, landlords are strong net buyers, with a 7.5x buy-to-sell ratio in 2024 (45 buys vs 6 sells). However, no transactions were recorded in the most recent reporting period.
Market Narrative

The real estate investor market in Woods County, Oklahoma, is a testament to the enduring power of the small, local landlord. Investors own a significant 35.4% of all single-family homes, totaling 1,103 properties. This portfolio is firmly in the hands of individuals, who own 81.2% of these homes, dwarfing the 20.7% held by companies. The market structure detailed in these Investor Pulse reports is defined by mom-and-pop operators (1-10 properties), who control a staggering 99.3% of investor housing, while institutional firms with over 1,000 properties have zero presence.

Investor behavior in Woods County is characterized by prudence and a long-term outlook. A remarkable 100% of the investor-owned portfolio is held in cash, with no financing recorded, indicating a well-capitalized and low-risk approach to real estate investing. Historically, these investors have been aggressive accumulators, posting a 7.5-to-1 buy-to-sell ratio in 2024. While pricing data must be viewed with caution due to low recent transaction volume, it suggests landlords have been able to acquire properties at substantial discounts compared to traditional homeowners. However, a complete halt in recorded market transactions in the most recent quarter signals a potential shift or data lag.

The key takeaway from Woods County is the existence of a robust, self-contained investor ecosystem devoid of large-scale corporate influence. Ownership is hyper-concentrated geographically, with 71.9% of investor properties located in a single zip code. The market's health is tied directly to the activity of thousands of individual operators. The recent pause in transactions is the most critical trend to monitor, as it will determine if this is a short-term anomaly or the beginning of a new, more illiquid phase for this unique, small-investor-driven market.

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.

Tier Properties Category
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 Generated July 22, 2026 at 01:25 AM
Data Period Q1 2026
Geography Level County
Geography Woods (OK)
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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 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
Chart Section11 Yoy All Landlords

Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Woods (OK) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ok-woods/. Licensed under CC BY-NC-ND 4.0.