Wilkinson (MS) Investor Pulse Report (2025-Q4)

The total landlord-owned SFR portfolio in Wilkinson County, MS, comprises 923 properties, which accounts for a substantial 45.7% of all SFR properties in the market, highlighting significant investor presence.

Ownership is predominantly individual, with individual investors holding 602 properties (65.2% of the investor-owned market), while company investors own 340 properties (36.8%). This indicates a strong mom-and-pop investor base.

There are 850 total landlords in the county, with individual landlords accounting for 625 entities and company landlords for 225. This 2.8:1 ratio of individual to company entities further emphasizes the prevalence of individual investors in the market.

A remarkable 97.7% of landlord-owned properties (902 out of 923) are identified as rented, underscoring a strong focus on rental income within investor portfolios. Only 3 properties are financed, suggesting a preference for cash transactions or properties purchased outright.

The data reveals an overwhelming preference for cash transactions, as 920 landlord-owned properties were acquired via cash, compared to just 3 that were financed. This heavy reliance on cash acquisitions impacts market liquidity and investor financial leverage.

While individual landlords constitute 73.5% of total entities, they hold 65.2% of the properties, suggesting that company landlords, despite being fewer in number (26.5% of entities), own slightly larger average portfolios.

Nearly all landlord-owned properties (902) are non-owner-occupied and actively rented, reinforcing that these properties primarily serve as rental-focused investments rather than short-term flips or future owner-occupied homes.

Landlord acquisition pricing data for Wilkinson County is entirely absent across all provided timeframes, including Q4 2025, Q3, Q2, Q1, the full year 2024, and the 2020-2023 pandemic period. Without this crucial information, no comparison can be made between landlord and traditional homeowner acquisition prices, nor can any specific dollar differences or percentage gaps be calculated.

The lack of data prevents any analysis of how the landlord-homeowner price gap may have changed quarter-over-quarter or year-over-year. Consequently, it is impossible to determine if landlords consistently secured discounts or paid premiums compared to traditional homeowners.

Absence of acquisition price trends by timeframe means no insights can be drawn on price appreciation or decline from pandemic-era (2020-2023) to Q4 2025. This severely limits understanding of market value shifts for investors.

With no pricing data, it is impossible to determine if individual and company landlords typically paid different prices for properties. Their distinct acquisition strategies, if any, remain unquantified.

The total count of properties acquired in each timeframe is also reported as zero, which indicates either no recorded purchases or a data collection gap. This absence extends across all periods, preventing any assessment of acquisition velocity or market activity.

Without any price data, it is impossible to evaluate if any landlord discount or premium was consistent, widening, or narrowing over time, leaving a significant gap in understanding investor market behavior.

A critical finding for Q4 2025 is the complete absence of recorded SFR purchases in Wilkinson County, with both total Q4 SFR purchases and landlord Q4 purchases reported as 0. This indicates no discernible buying activity in the latest quarter.

Due to the lack of Q4 purchase data, it is impossible to determine which investor tiers were most active in purchasing this quarter. All tiers, including mom-and-pop (Tier 01-04) and institutional (Tier 09), reported 0 purchases.

The absence of data also means that the percentage of Q4 landlord purchases made by mom-and-pop landlords (Tier 01-04) versus institutional investors (Tier 09) cannot be calculated. Both segments show 0 purchases for the quarter.

No new landlords (single-property, Tier 01) were recorded entering the market in Q4 2025, as their purchase count stands at 0. This suggests a period of extreme dormancy or a data reporting gap for new entrants.

Without any recorded Q4 purchases, the number of entities active in each tier and their average properties per entity in the quarter cannot be determined. This leaves a void in understanding current investor engagement.

The complete lack of purchase activity for Q4 2025 means no tier exhibited any concentration of buying activity, as all purchase counts are uniformly zero across the board.

Mom-and-pop landlords, encompassing Tiers 01-04 (1-10 properties), collectively control a dominant 96.5% of all investor-owned SFR properties in Wilkinson County, demonstrating their foundational role in the local rental market.

The market is heavily concentrated in the smallest tiers; single-property landlords (Tier 01) alone account for 60.5% (565 properties) of the entire investor-owned SFR portfolio, underscoring the prevalence of small-scale individual investors.

Institutional investors (Tier 09, 1000+ properties) have no recorded ownership in Wilkinson County, controlling 0.0% of the investor-owned SFR market. This challenges common perceptions of institutional dominance in this specific local market.

The distribution of total ownership across tiers shows a steep decline beyond mom-and-pop segments, with Tier 01-04 holding 897 properties. Mid-size landlords (Tiers 05-08) hold only a small fraction, with 30 properties in Tier 05-08 and 2 properties in Tier 101-1000, further solidifying small landlord control.

With no acquisition price data available for any tier, it is impossible to determine how prices varied by investor size, or whether larger investors historically paid more or less than smaller landlords in Wilkinson County.

The number of entities in each tier correlates with property counts; for example, Tier 01 (single-property) has the highest number of entities corresponding to its dominant property share. The average portfolio size per entity predictably increases with higher tiers, though data is sparse for larger tiers.

Comparing ownership distribution across 'All Time' versus 'Q4 2025' reveals no recent changes in tier distribution, as Q4 reported zero new purchases or activity, indicating a static or unrecorded market in the last quarter.

The crossover point where companies become the majority owners over individuals occurs at the 6-10 property tier (Tier 04). In this tier, companies own 75.7% of properties (28 properties), significantly surpassing individual ownership at 24.3% (9 properties).

Individual investors overwhelmingly dominate the smaller portfolio tiers, holding 73.8% (425 properties) in the single-property tier (Tier 01) and 65.4% (85 properties) in the two-property tier (Tier 02). This highlights the foundational role of individual 'mom-and-pop' investors.

Company ownership rapidly gains strength in mid-sized portfolios, controlling 96.7% (29 properties) of the small-medium tier (11-20 properties). This indicates that as portfolios grow slightly larger, they are almost exclusively held by corporate entities.

The split between individual and company ownership is clearly delineated: individuals lead substantially in Tiers 01-02, while companies take the majority share from Tier 04 upwards. Tier 03 (3-5 properties) shows a near-even split, with individuals at 52.3% (92 properties) and companies at 47.7% (84 properties), marking a transition point.

With no pricing data available for any tier or owner type, it is impossible to analyze how individual vs. company acquisition prices differ within each tier, leaving their respective buying strategies unquantified.

The highest company concentration is observed in the Tier 05 (11-20 properties) where they own 96.7% of properties. Conversely, the highest individual concentration is in Tier 01 (single-property) with 73.8% ownership, reinforcing their prevalence at the entry level.

Growth patterns by owner type (all-time vs. Q4) cannot be assessed due to the complete absence of Q4 purchase data, which registered zero acquisitions for both individual and company investors across all tiers.

The 39669 zip code of Wilkinson County, MS, has the most investor-owned properties, totaling 582. This zip code alone accounts for a significant portion of the county's investor-owned SFR, making it a key area for landlord activity.

The 39638 zip code demonstrates the highest investor ownership rate within Wilkinson County, with 55.7% of its total SFR properties being investor-owned. This high percentage signifies a market heavily influenced by landlord activity.

Conversely, the provided data lists only four zip codes, implying that these are the only areas with recorded investor activity in Wilkinson County, with no specific 'lowest' regions to compare. This suggests a highly concentrated geographic distribution of landlord properties.

Acquisition prices across these geographic regions cannot be assessed as pricing data is entirely absent for all regions within Wilkinson County, preventing any comparative analysis of market value and investment costs.

The total SFR inventory for the top region, MS-Wilkinson-39669, is higher than others, contributing to its leading position in total investor-owned properties. This indicates a larger overall housing stock where investors are active.

The number of landlord entities operating in each of these top regions is not explicitly provided in this section, preventing an analysis of landlord density per geographic area.

There is a strong correlation between high count and high percentage regions. For instance, MS-Wilkinson-39669 leads in count and has a high ownership rate of 50.2%, while MS-Wilkinson-39638, despite a lower count, shows the highest ownership percentage at 55.7%, indicating intense investor focus in those areas.

A significant data gap exists as no historical transaction data, including buy/sell counts or average prices, is available for all landlords or specifically for institutional investors (1000+ tier) in Wilkinson County. This renders it impossible to determine if landlords overall are net buyers or net sellers.

Similarly, the net position of institutional investors (1000+ tier) cannot be determined, as all their buy and sell transactions are reported as 0. This lack of data prevents any analysis of whether they are accumulating or divesting properties in the county.

The percentage of buy transactions originating from other landlords (inter-landlord) cannot be calculated due to the complete absence of buy transaction data for all timeframes, for both general landlords and institutional investors.

Concurrently, the percentage of sell transactions that go to other landlords is also indeterminable, given the lack of any recorded sell transaction data for any period or investor type.

Without any recorded buy or sell prices, it's impossible to compare average buy prices to average sell prices. This precludes any analysis of implied profit margins for landlords in Wilkinson County over time.

The buy/sell ratio, a key indicator of market direction, cannot be calculated or tracked across timeframes (Q4 vs Q3, earlier, annual, or All Time) due to the complete absence of transaction counts for all periods.

Since no transaction data is available for either general landlords or institutional investors, it is impossible to identify any differences in their historical transaction patterns or market engagement strategies.

A critical finding for Q4 2025 in Wilkinson County is the complete absence of recorded SFR transactions. Both total quarterly transactions and landlord transactions are reported as 0, indicating a period of extreme inactivity or a data collection gap.

Due to the lack of Q4 transaction data, the volume of transactions across investor tiers cannot be determined. All tiers, including mom-and-pop (Tier 01-04) and institutional (Tier 09), show 0 transactions, preventing any assessment of their activity levels.

With zero transactions recorded, there are no average purchase prices by tier for Q4 2025. This means it is impossible to determine which tiers, if any, paid the most or least for properties in the most recent quarter.

Inter-landlord trading activity also registered at 0 for Q4 2025. This means no properties were recorded as being bought from other landlords, preventing any analysis of market liquidity or internal investor trading dynamics.

The absence of purchase prices by tier makes it impossible to calculate any price spread between the highest and lowest purchasing tiers for Q4 2025, leaving their relative market valuations unquantified.

Given the complete lack of transactions, no tier exhibited any inter-landlord purchase percentage, as all purchase activity was zero. This prevents identifying which investor segments might rely more on transactions with other landlords.

The complete inactivity in Q4 transactions (0 for all tiers) stands in stark contrast to the existing ownership distribution. While landlords hold 923 properties, none were recorded buying or selling in the last quarter, indicating either market stagnation or a data reporting lag.