Haskell (OK) Investor Pulse Report (2025-Q4)

Haskell County, Oklahoma, sees landlords collectively owning 557 Single Family Residential (SFR) properties, representing 23.0% of the county's total 2,418 SFR properties. This indicates a significant investor presence within the local housing market.

Individual investors are the dominant force among landlords in Haskell County, owning 447 (80.3%) of all investor-owned SFR properties, which significantly outweighs the 118 (21.2%) properties held by companies. This pattern suggests a market largely shaped by smaller, individual investors rather than large corporate entities.

The landlord ecosystem in the county consists of 668 distinct entities, with individual landlords (581) being nearly seven times more numerous than company landlords (87). This concentration of individual entities further reinforces the mom-and-pop nature of the local investor market.

A striking 539 of all landlord-owned properties are rented, underscoring the primary focus on rental income within investor portfolios. This high rental rate indicates a mature rental market where properties are actively generating income.

Cash acquisitions are the preferred method for landlords in Haskell County, with 473 properties acquired outright compared to only 84 properties that are financed. This strong preference for cash transactions suggests either a highly liquid investor base or a strategy to minimize debt and maximize immediate returns.

While individuals dominate overall SFR property ownership, companies hold a higher proportion of rented properties relative to their overall portfolio size compared to individuals. This hints at differing operational strategies, with companies potentially more focused on pure rental operations.

The ratio of properties to entities reveals distinct operating scales: 581 individual landlords own 447 distinct SFR properties (averaging 0.77 properties per individual landlord entity, implying many single-property owners or co-ownership), while 87 company landlords own 118 properties (averaging 1.36 properties per company landlord), indicating a slightly larger, but still modest, average portfolio size for companies.

A notable data anomaly exists for Haskell County: despite average acquisition prices being provided, zero distinct SFR properties were reportedly purchased by landlords across all measured timeframes, including Q4 2025, 2025 year-to-date, 2024, and the 2020-2023 period. This suggests a complete lack of reported landlord acquisition activity in these periods, making the average prices an abstraction for non-existent purchases.

Despite the absence of actual landlord purchases, provided comparison data for Q3 2025 shows landlords' average prices at $237,500, a significant $57,310 (31.8%) premium over traditional homeowners who paid $180,190. This contrasts sharply with prior quarters.

The price dynamics in earlier quarters were volatile: Q2 2025 saw landlords' average prices at $98,927, representing a substantial $94,970 (49.0%) discount compared to homeowners' $193,897. This indicates landlords were hypothetically securing properties for nearly half the price of traditional buyers.

Similarly, in Q1 2025, landlords were associated with average prices of $108,013, which was a $60,048 (35.7%) discount compared to homeowners' $168,061. The significant swing from deep discounts in Q1/Q2 to a premium in Q3, despite zero actual purchases, highlights extreme theoretical price fluctuations in the market.

The overall average acquisition price for landlords for the entire Year 2025 is cited as $120,791, albeit for zero properties purchased. This hypothetical average suggests a lower price point than homeowners observed in Q1 and Q2, but the actual market impact is nullified by the lack of transactions.

No specific data is available to compare acquisition price trends between individual and company landlords, nor to assess price appreciation from the pandemic era (2020-2023) to Q4 2025, due to the reported zero landlord acquisitions during these periods.

The complete absence of landlord acquisition counts across all presented timeframes means that while average prices are calculated, there is no actual purchasing activity for landlords to analyze in terms of quantity, consistency of discounts, or overall market participation during these periods. This severely limits insights into active landlord buying strategies.

The data for Q4 2025 landlord purchases in Haskell County is marked by a significant absence: 'nan' is reported for the number of distinct SFR properties landlords acquired, making it impossible to calculate their market share. This indicates a complete lack of recorded landlord buying activity for the quarter.

Overall, the market saw 18 total SFR purchases in Q4 2025, all attributed to non-landlord buyers. This means traditional homeowners or other non-investor entities were the sole active participants in the SFR market during this period, based on the provided data.

Consequently, mom-and-pop landlords (Tiers 01-04) registered 0 purchases in Q4 2025, representing 0.0% of landlord purchases. This is consistent with the broader 'nan' figure for all landlord acquisitions.

Similarly, institutional investors (Tier 09, 1000+ properties) also recorded 0 purchases in Q4 2025, further emphasizing the lack of investor buying activity across the spectrum. There were no new entities entering the market as single-property landlords (Tier 01) either.

With zero reported purchases across all investor tiers in Q4 2025, questions regarding the number of active entities per tier and the average properties per entity remain unanswerable for this specific timeframe.

The absence of Q4 landlord purchase data prevents any analysis of which tiers were most active or concentrated during the current quarter. This leaves a significant gap in understanding recent investor behavior and market momentum in Haskell County.

This widespread lack of reported landlord purchase activity for Q4 2025 suggests either a quiescent period for investors in Haskell County or a limitation in the data capture for this specific quarter, making it challenging to draw conclusions about current acquisition strategies.

Haskell County's investor-owned SFR market is overwhelmingly composed of smaller landlords, with mom-and-pop investors (Tiers 01-04) controlling 96.4% of all investor-held properties. This translates to 500 properties collectively owned by landlords with 1 to 10 properties.

Single-property landlords (Tier 01) represent the largest segment, owning 446 properties, which accounts for 78.1% of the total investor-owned SFR. This high concentration highlights the market's reliance on individuals owning just one rental home.

Small landlords in Tiers 03-05 (3-5 properties) and Tiers 06-10 (6-10 properties) contribute significantly, holding 49 (8.6%) and 29 (5.1%) properties respectively. These segments collectively reinforce the small-scale nature of the local investor landscape.

In stark contrast to the small landlord dominance, institutional investors (Tier 09, 1000+ properties) hold a negligible share, with only 1 property (0.2%) of the total investor portfolio. This indicates that Haskell County is not a target market for large-scale institutional investment.

Mid-size landlords, specifically Tiers 11-20 (14 properties, 2.5%) and Tiers 21-50 (3 properties, 0.5%), form a small but present segment, demonstrating some capacity for modest portfolio growth beyond single properties.

The total number of distinct SFR properties in the ownership tier data sums to 571, which is slightly higher than the 557 investor-owned SFR properties listed in the current holdings, potentially due to minor data reconciliation differences across sections. However, the percentages accurately reflect the distribution within the reported tier data.

No specific data on acquisition prices by tier or how tier distribution has evolved over time (e.g., comparing All Time vs recent quarters) is provided for Haskell County, limiting analysis on pricing strategies and historical growth trends by investor size.

Individual investors hold a commanding lead in the smallest portfolio tiers in Haskell County. For single-property landlords (Tier 01), individuals own 396 properties (87.8%), significantly overshadowing the 55 properties (12.2%) held by companies. This pattern extends to two-property landlords (Tier 02), where individuals own 18 properties (69.2%) compared to companies' 8 properties (30.8%).

The crossover point where companies become the majority owners occurs within the small landlord segment. In Tier 03-05, companies own 27 properties (55.1%) versus 22 properties (44.9%) for individuals. This trend continues more strongly in Tier 06-10, where companies control 22 properties (75.9%) against individuals' 7 properties (24.1%).

An interesting reversal appears in the Small-medium Tier 11-20, where individual investors surprisingly reclaim dominance, owning 13 properties (92.9%) compared to only 1 property (7.1%) for companies. This suggests unique circumstances or individual investors with slightly larger, but still personal, portfolios.

Following this anomaly, companies once again take the majority in the Small-medium Tier 21-50, holding 2 properties (66.7%) while individuals own 1 property (33.3%). This pattern indicates companies generally increase their proportional ownership as portfolio sizes grow, despite the Tier 11-20 outlier.

The institutional Tier 09 (1000+ properties) has a single property owned, but the data does not specify if it's company or individual, though it is typically assumed to be company-owned. This confirms the very limited institutional presence observed in previous sections.

No data is provided regarding how individual versus company acquisition prices differ within each tier, which would offer further insights into their respective buying strategies. Similarly, growth patterns (all-time vs Q4) broken down by owner type are not available, preventing an analysis of dynamic shifts.

The overall trend suggests that while individual landlords form the foundational majority of the Haskell County market, companies selectively scale up their operations in certain mid-size tiers, indicating a strategic, albeit limited, corporate presence. The Tier 11-20 outlier warrants further investigation if more granular data were available.

Within Haskell County, the zip code OK-Haskell-74462 stands out as the primary hub for investor activity, boasting 408 landlord-owned SFR properties. This represents a significant 23.6% of all SFR properties within that specific zip code, indicating a high concentration of investment.

Following 74462, other notable regions by investor property count include OK-Haskell-74941 with 63 properties (25.1% investor rate), OK-Haskell-74944 with 28 properties (27.7% rate), OK-Haskell-74552 with 25 properties (19.8% rate), and OK-Haskell-74472 with 21 properties (17.2% rate). These five zip codes collectively account for the vast majority of investor-owned properties in the county.

When examining investor ownership rates, OK-Haskell-74943 emerges as having the highest percentage, with 50.0% of its SFR properties being investor-owned. This highlights an exceptionally dense investor presence, even though its absolute property count may not place it among the top five by volume.

Four zip codes, OK-Haskell-74462, OK-Haskell-74941, OK-Haskell-74944, and OK-Haskell-74552, appear in both the top 5 by count and top 5 by percentage lists. This strong correlation indicates these areas are not only popular for investors but also exhibit high market penetration by landlords.

Conversely, OK-Haskell-74472, while being among the top five by property count (21 properties), has a relatively lower investor ownership rate of 17.2% compared to its peers. This suggests a larger overall SFR market in this zip code, diluting the investor concentration percentage.

No data regarding acquisition prices across these specific geographic regions is available. Therefore, it is not possible to analyze how prices vary or if investors are targeting lower-priced or higher-value markets within Haskell County.

The clustering of investor-owned properties and high ownership rates in specific zip codes demonstrates a clear geographic concentration of investor interest within Haskell County, suggesting certain areas are more attractive or accessible for rental property investment.

Landlords in Haskell County were clear net buyers in both recent full years for which data is available. In Year 2025, they acquired 21 properties while selling 8, resulting in a net gain of 13 properties. This buying trend was even stronger in Year 2024, with 40 purchases against only 6 sales, yielding a substantial net increase of 34 properties.

Looking at quarterly activity in 2025, landlords maintained a net buyer position, with 10 buys and 2 sells in Q2, resulting in a net 8 properties acquired. However, Q3 2025 showed a balanced market with 2 buys and 2 sells, indicating a temporary halt in net accumulation.

In contrast to the overall landlord trend, institutional investors (1000+ tier) exhibited a net seller position in Year 2024, selling 2 properties while only buying 1, resulting in a net divestment of 1 property. This divergence suggests different strategies between large-scale and general investors.

No data is available for the percentage of buy or sell transactions that occur between landlords (inter-landlord transfers). This crucial metric would provide insight into market liquidity and internal trading dynamics within the investor segment.

Similarly, average buy prices compared to average sell prices are not provided for either all landlords or institutional investors. This absence prevents an analysis of implied profit margins or changes in pricing strategies over time for transactions.

The transaction volume for landlords remained relatively consistent year-over-year from 2024 (40 buys, 6 sells) to 2025 (21 buys, 8 sells), although 2025 data is only year-to-date. This consistent activity, predominantly on the buying side, indicates sustained interest in expanding rental portfolios despite a slight slowdown in 2025.

The stark difference in net positions between all landlords (net buyers) and institutional investors (net sellers in 2024) suggests that smaller, non-institutional investors are primarily driving market accumulation in Haskell County, while larger entities are either exiting or rebalancing their local portfolios.

Haskell County's Q4 2025 transaction data shows a complete absence of landlord involvement: 'nan' is reported for both total landlord transactions and their market share. This indicates no recorded buying or selling activity by landlords during the quarter.

Out of a total of 26 SFR transactions that took place in Q4 2025, none were attributed to landlords. This means the entire transaction volume for the quarter was driven by traditional homeowners or other non-investor entities, based on the provided data.

Consequently, both mom-and-pop landlords (Tier 01-04) and institutional investors (Tier 09) registered 0 transactions in Q4 2025. This uniform lack of activity across all investor tiers further underscores their complete withdrawal from or lack of recorded participation in the market during this period.

Without any recorded purchases by landlords in Q4 2025, it is impossible to determine average purchase prices by tier, which would otherwise reveal price strategies of different investor sizes. All tier-specific average purchase prices are listed as $0, reflecting this absence of data.

Similarly, the crucial metric of inter-landlord trading activity (properties bought from other landlords) cannot be assessed for Q4 2025, as there were no landlord purchases reported from any source. This leaves a gap in understanding market liquidity and internal investor-to-investor transactions.

The absence of Q4 transaction data for landlords prevents a comparison of tier activity in transactions versus their overall ownership distribution. This limits insights into whether certain tiers are becoming more or less active relative to their existing market share.

This widespread lack of reported landlord transaction activity in Q4 2025 suggests either a period of extreme dormancy for investors in Haskell County or potential data reporting limitations that obscure their market participation during the quarter.