Winona (MN) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Winona (MN)
13,923
Total Investors in Winona (MN)
902
Investor Owned SFR in Winona (MN)
927(6.7%)
Individual Landlords
Landlords
761
SFR Owned
704
Corporate Landlords
Landlords
141
SFR Owned
230
Understanding Property Counts

Distinct Count Methodology: The total 927 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 Winona County, Securing 61.6% Q4 Price Discounts
Landlords in Winona County own 927 SFR properties (6.7% of the market), with individuals controlling 75.9% and mom-and-pop investors holding 92.1% overall. In Q4 2025, landlords, specifically a new single-property investor, acquired their single purchase at a staggering 61.6% discount to homeowner prices. While landlords remain net buyers in 2025, institutional investors show no significant activity in this localized market.
Landlord Owned Current Holdings
Winona County landlords own 927 SFR properties (6.7% of market), with individuals holding 75.9%.
A significant 94.6% of investor-owned properties are rented, indicating a strong rental market focus. Cash purchases (647 properties) are more prevalent than financed purchases (280 properties) in landlord portfolios. Individual landlords outnumber companies by a 5.39:1 ratio.
Landlord vs Traditional Homeowners
Landlords secured a massive 61.6% discount in Q4, paying $130,000 compared to homeowners' $338,726.
This $208,726 discount in Q4 marks a substantial widening of the price gap, up from a 40.9% discount ($127,504) in Q3 and a 26.5% discount ($73,283) in Q2. The single landlord purchase in Q4 was significantly lower than the average landlord prices of $219,470 in 2024 and $192,743 during 2020-2023.
Current Quarter Purchases
Landlords constituted a minor 5.0% of Q4 SFR purchases, acquiring only 1 property.
This single landlord acquisition in Q4 was entirely driven by mom-and-pop investors (100.0%), specifically a new single-property landlord entering the market. Institutional investors (Tier 09) showed no purchasing activity this quarter.
Ownership by Tier
Mom-and-pop landlords overwhelmingly control 92.1% of investor-owned SFR in Winona County.
Single-property landlords (Tier 01) lead with 56.6% of all investor-owned properties, underscoring their market dominance. Institutional investors (Tier 09) hold 0.0% of properties, indicating no large-scale corporate ownership in the county. Larger investor tiers (51-100 and 101-1000 properties) account for a negligible 0.3% share.
Ownership by Tier & Type
Individual investors maintain majority ownership across all observed tiers, peaking at 85.6% in Tier 01.
Companies exhibit their highest concentration in the two-property tier (41.7%) and the 11-20 properties tier (38.5%). A crossover point where companies become majority owners is not evident in the provided tier breakdowns, with individuals consistently holding over 58% in all listed tiers.
Geographic Distribution
Winona (55987) dominates investor-owned properties with 684, representing 73.8% of the county's total.
Zip code 55910 leads in investor ownership rate at 11.8%, despite its lower property count of 44. The top region by count (55987 at 7.3% rate) does not correlate with the highest ownership rate, indicating varied market dynamics across Winona County's zip codes.
Historical Transactions
Winona County landlords are net buyers with 34 acquisitions against 17 sales in 2025.
Landlords have maintained a net buyer position for the past two years, with 36 net buys in 2024 (59 buys vs 23 sells) and 17 net buys in 2025. Q3 2025 saw a neutral transaction balance (6 buys, 6 sells), a temporary shift from Q2's net buying of 4 properties. No institutional transaction activity was recorded.
Current Quarter Transactions
Landlords comprised only 2.8% of Q4 transactions, completing just one purchase.
The single Q4 landlord transaction was by a Tier 01 investor, priced at $130,000, and was not acquired from another landlord (0.0% inter-landlord). Institutional investors (Tier 09) recorded no transactions this quarter, aligning with their limited market presence.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Winona County landlords own 927 SFR properties (6.7% of market), with individuals holding 75.9%.
Detailed Findings

Winona County's housing market sees a modest 6.7% of its 13,923 SFR properties owned by landlords, totaling 927 properties. This indicates a relatively lower investor penetration compared to other markets, suggesting ample room for growth or a highly selective investment environment.

Individual landlords overwhelmingly dominate the investor landscape in Winona County, owning 704 (75.9%) of all investor-held SFR properties, significantly outpacing the 230 (24.8%) properties held by company investors. This highlights the prevalence of mom-and-pop operations over corporate entities.

With 761 individual landlords compared to 141 company landlords, the ratio of individual to company entities is approximately 5.39:1, further underscoring the strong presence of independent investors and local ownership over larger corporate portfolios.

The vast majority of landlord-owned properties are utilized for rental income, with 877 properties explicitly identified as rented, representing 94.6% of the entire investor portfolio. This confirms a highly focused, income-generating rental strategy among landlords in the county.

A substantial portion of these investor-owned properties are acquired through cash, with 647 properties (69.8% of the total portfolio) being cash purchases, significantly more than the 280 properties (30.2%) acquired through financing. This suggests a preference for unencumbered assets or a strong capital base among investors.

The high percentage of rented properties, combined with a dominant cash acquisition strategy, points to a stable, income-generating rental market in Winona County, primarily driven by individual investors seeking long-term yields rather than highly leveraged growth.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a massive 61.6% discount in Q4, paying $130,000 compared to homeowners' $338,726.
Detailed Findings

In 2025-Q4, landlords in Winona County demonstrated a remarkable ability to acquire properties at a significant discount, paying an average of $130,000. This represents a substantial 61.6% reduction, or $208,726 less, compared to the $338,726 paid by traditional homeowners during the same period.

The price gap between landlords and homeowners has exhibited high volatility throughout 2025, with the landlord discount widening dramatically in Q4. This surge follows a trend where the discount narrowed to 26.5% in Q2 ($73,283 difference) before expanding to 40.9% in Q3 ($127,504 difference), culminating in the pronounced Q4 disparity.

Analyzing annual trends reveals that the average price for landlord acquisitions was $219,470 in 2024 and $192,743 during the pandemic boom years of 2020-2023. The single Q4 2025 landlord purchase at $130,000 is notably below these historical averages, indicating an acquisition of a lower-priced asset or an exceptional deal during a period of low activity.

The lack of significant reported acquisition activity by landlords in recent quarters (0 properties purchased in 2024 and 2025 according to section 6-1, apart from the single Q4 purchase identified in section 7-1 and 12-2) suggests a cautious or highly selective buying approach in the Winona market.

Despite minimal transaction volume from landlords, the dramatic Q4 price advantage ($208,726 or 61.6%) signals that when investor-buyers are active, they are securing significantly below-market-rate properties compared to traditional homeowners.

The quarter-over-quarter fluctuations in landlord discount rates, from 42.6% in Q1 to 26.5% in Q2, then 40.9% in Q3, and finally 61.6% in Q4, underscore an inconsistent market environment where opportunistic buying can yield substantial savings for well-positioned investors.

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 constituted a minor 5.0% of Q4 SFR purchases, acquiring only 1 property.
Detailed Findings

Landlord activity in the Winona County SFR market was extremely subdued in 2025-Q4, accounting for just 1 (5.0%) of the 20 total SFR purchases. This indicates a minimal direct impact from investor buying on the overall market this quarter, with traditional buyers dominating.

The entirety of landlord purchasing activity was concentrated within the mom-and-pop segment (Tiers 01-04), which made 100.0% of the landlord acquisitions. This highlights the continued dominance of smaller, individual investors even in periods of low market activity.

Specifically, the single Q4 landlord purchase was attributed to a new single-property landlord (Tier 01), who acquired 1 property. This suggests that market entry for first-time investors, albeit low volume, is occurring even during a slow quarter for overall landlord activity.

In stark contrast, institutional investors (Tier 09) recorded no purchases in Winona County during Q4 2025, further emphasizing the local market's reliance on smaller-scale investors for any existing landlord acquisition activity.

The fact that a single new landlord entity drove 100.0% of landlord purchases signals that market entry, rather than expansion by existing larger investors, was the primary form of investor activity in this quarter, reflecting a grassroots approach to real estate investment.

The pronounced imbalance, with 19 non-landlord purchases against only 1 landlord purchase, points to a Q4 market overwhelmingly driven by traditional homeowners or other non-investor buyers in Winona County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords overwhelmingly control 92.1% of investor-owned SFR in Winona County.
Detailed Findings

The investor-owned SFR market in Winona County is profoundly dominated by small-scale investors, with mom-and-pop landlords (Tiers 01-04) collectively controlling an overwhelming 92.1% of all investor-held properties. This structure indicates a highly fragmented market composed primarily of local, individual investors.

Single-property landlords (Tier 01) represent the largest segment within the investor landscape, owning 552 properties, which accounts for 56.6% of the total investor-owned SFR portfolio. This highlights the critical role of first-time or minimal-portfolio landlords in the county's rental housing supply.

The complete absence of any properties owned by institutional investors (Tier 09, 1000+ properties) at 0.0% demonstrates that large-scale corporate entities have no significant footprint in Winona County's SFR market. This observation sharply contrasts with national trends often seen in larger metropolitan areas.

Even the mid-size landlord tiers (Tiers 05-08, 11-1000 properties) hold a relatively small combined share, with Tiers 05-06 (11-50 properties) collectively owning 74 properties (7.6%) and Tiers 07-08 (51-1000 properties) owning a mere 3 properties (0.3%). This confirms the market's strong bias towards smaller, independent investors.

The distribution clearly shows a rapid decline in property concentration as portfolio size increases; for example, from 552 properties in Tier 01 down to just 1 property in Tier 08, illustrating an inverted pyramid structure where small players hold the vast majority of assets.

This strong concentration among mom-and-pop landlords means that market dynamics, such as pricing or rental rates, are likely influenced more by individual decisions and local factors than by the strategic moves of large corporate investors.

The significant market share of landlords with 1-5 properties (86.2% combined from Tier 01, 02, 03) indicates that the bulk of rental housing is managed by owners with strong local ties, potentially fostering different landlord-tenant relationships than larger, more distant corporations.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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 maintain majority ownership across all observed tiers, peaking at 85.6% in Tier 01.
Detailed Findings

Individual investors consistently dominate all reported portfolio tiers in Winona County, underscoring their foundational role in the local SFR market. This dominance is most pronounced in the single-property tier (Tier 01), where individual owners hold 477 properties, representing an overwhelming 85.6% of that segment.

While individuals hold the majority, company ownership is relatively more concentrated in specific mid-to-smaller tiers. The two-property tier (Tier 02) has the highest company representation at 40 properties (41.7%), followed closely by the 11-20 property tier (Tier 05) with 15 properties (38.5%) owned by companies.

Based on the available data, a crossover point where company investors become the majority owners is not observed within any of the listed tiers. Individual investors consistently maintain a controlling share, with their lowest reported percentage being 58.3% in the two-property tier (Tier 02).

The breakdown reveals that even in tiers typically associated with larger portfolios, such as the Small-medium (11-20 properties) tier, individual investors still constitute a significant majority, owning 24 properties (61.5%) compared to companies' 15 properties (38.5%).

This widespread individual investor presence across various portfolio sizes reinforces the narrative of Winona County's investor market being driven by local, non-corporate entities, rather than national investment firms.

The data suggests that individuals are the primary drivers of market entry (Tier 01) and also scale up their portfolios (Tiers 03-05) without necessarily forming corporate entities to the same extent as observed in other, larger real estate markets.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Winona (55987) dominates investor-owned properties with 684, representing 73.8% of the county's total.
Detailed Findings

Investor-owned SFR properties in Winona County are highly concentrated within specific zip codes. The 55987 zip code, encompassing Winona city itself, stands out with 684 investor-owned properties, representing a significant 73.8% of all investor-owned SFR in the county. This highlights a clear geographic epicenter for investor activity.

Despite its high property count, the 55987 zip code has an investor ownership rate of 7.3%. In contrast, the 55910 zip code, despite having only 44 investor-owned properties, shows the highest investor penetration rate at 11.8%, suggesting a smaller overall SFR market with a higher proportion of investor activity.

The disparity between regions leading by property count versus those leading by ownership percentage highlights that investor strategies may differ, with some areas attracting high volume and others higher saturation within a smaller market. This indicates a nuanced geographic investment landscape.

Zip code 55972 follows the leading 55987 by count with 52 investor-owned properties (3.5% rate), while 55910 (44 properties, 11.8% rate) and 55964 (8.3% rate) and 55943 (8.2% rate) show moderate to high investor presence. The explicit property counts for 55964 and 55943 are not available.

The lack of valid data for zip codes 55923 and 55962 prevents a complete analysis of the top 5 regions by count and percentage. However, the available data unequivocally points to the 55987 zip code as the primary hub for investor-owned properties in Winona County.

This strong geographic concentration suggests that factors such as local amenities, rental demand, or property values within specific zip codes are significant drivers for investor interest in Winona County, leading to concentrated pockets of ownership rather than an even distribution.

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
Key Insight
Winona County landlords are net buyers with 34 acquisitions against 17 sales in 2025.
Detailed Findings

Landlords in Winona County have consistently acted as net buyers over the last two years, indicating a continuous expansion of their SFR portfolios. In Year 2025, they acquired 34 properties while selling 17, resulting in a net increase of 17 properties, with a buy-to-sell ratio of 2.0x.

This net accumulation trend extends to Year 2024, when landlords purchased 59 properties and sold 23, achieving a robust net gain of 36 properties and a higher buy-to-sell ratio of 2.57x, demonstrating stronger expansion in the prior year.

Examining quarterly activity in 2025 reveals a varied pattern: Q2 saw landlords as net buyers with 12 purchases against 8 sales (a net of 4 properties), while Q3 experienced a perfectly neutral market, with 6 buys and 6 sells. This Q3 neutrality suggests a period of market rebalancing or caution after earlier buying.

The absence of institutional (1000+ tier) transaction data in the provided snippet implies that large-scale corporate investors have no discernible transaction footprint in Winona County, aligning with the earlier observation of their minimal ownership.

The consistent net buying over two years, despite varying quarterly activity, signifies an underlying confidence among landlords in the long-term value and rental income potential of SFR properties in Winona County.

While specific buy and sell prices for these historical periods are not provided, the persistent net buying position suggests that acquisition opportunities or favorable market conditions for expansion have generally outweighed reasons for divestment among landlords.

The slight decrease in net buying from 2024 (36 properties) to 2025 (17 properties) might indicate a gradual slowing of aggressive expansion, potentially due to fewer attractive investment opportunities or a more balanced market environment.

Current Quarter Transactions

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

Key Insight
Landlords comprised only 2.8% of Q4 transactions, completing just one purchase.
Detailed Findings

Landlord participation in Winona County's SFR market was exceptionally low during 2025-Q4, accounting for only 1 transaction out of 36 total, representing a minor 2.8% share. This reflects a period of minimal investor churn or expansion activities in the county.

The sole landlord transaction was conducted by a single-property investor (Tier 01) at an average purchase price of $130,000. This tier's activity, though limited, underscores the continued entry or cautious expansion of small-scale investors, who remain the primary active segment.

Interestingly, this Q4 purchase by the Tier 01 landlord was not sourced from another landlord, as indicated by 0.0% of properties bought from landlords. This suggests the property was acquired from a non-investor, such as a traditional homeowner, indicating direct market interaction.

Institutional investors (Tier 09), consistent with their overall low presence and activity in the county, recorded no transactions during Q4 2025, confirming their sustained lack of engagement in the local transaction market.

The $130,000 average purchase price for the Tier 01 transaction in Q4 is significantly lower than the average homeowner price of $338,726 for the same period, indicating either a substantial discount or the acquisition of a lower-value property by the new landlord.

The extremely low landlord transaction volume in Q4, both in terms of overall market share and specific tier activity, suggests a highly cautious or illiquid market for investor-driven sales and purchases in Winona County.

The activity for Q4 aligns with the overall ownership distribution where Tier 01 dominates, reinforcing that any sporadic landlord activity in the county is likely to come from this segment of the market.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Mom-and-Pop Landlords Dominate Winona County, Acquiring Properties at a 61.6% Q4 Discount
Holdings
Landlords in Winona County, MN, own 927 SFR properties, representing 6.7% of the total SFR market. Individual investors hold the vast majority at 704 properties (75.9%), while companies own 230 properties (24.8%).
Pricing
Landlords in Winona County paid an average of $130,000 in Q4, a substantial 61.6% less than traditional homeowners who paid $338,726. This $208,726 discount is the largest observed in 2025, following a volatile year for price gaps.
Activity
Landlords accounted for only 1 (5.0%) of the 20 total SFR purchases in Q4, with this sole acquisition made by a new single-property landlord. No institutional investors were active in purchasing this quarter, signifying minimal investor-driven acquisition.
Market Share
Mom-and-pop landlords (1-10 properties) control an overwhelming 92.1% of all investor-owned housing in Winona County, led by single-property owners at 56.6%. Institutional investors (1000+ properties) hold a 0.0% share, completely absent from the market.
Ownership Type
Individual investors maintain majority ownership across all observed tiers, with 85.6% in Tier 01. The ratio of individual to company landlords by entity count is 5.39:1 (761 vs 141), confirming individual dominance. A clear crossover point where companies become majority owners is not evident in the data.
Transactions
Landlords in Winona County are consistently net buyers, with 34 acquisitions against 17 sales in 2025, reflecting a 2.0x buy/sell ratio. However, institutional investors recorded no transactions in Q4, remaining inactive in the market.
Market Narrative

The Winona County, MN, SFR market is largely characterized by local, small-scale investors. Landlords collectively own 927 properties, which constitutes a modest 6.7% of the county's 13,923 total SFR properties. This investor landscape is overwhelmingly dominated by individual landlords, who hold 704 properties (75.9%), significantly more than the 230 properties (24.8%) owned by companies. Furthermore, mom-and-pop landlords (Tiers 01-04) control a commanding 92.1% of all investor-owned SFR, while institutional investors (Tier 09) have a negligible 0.0% market share, underscoring the fragmented, non-corporate nature of investor activity across Winona County.

Investor behavior in Q4 2025 showed extreme caution, with landlords participating in only 1 (5.0%) of the 20 total SFR purchases. This single acquisition was made by a new single-property landlord, highlighting a low entry barrier for individual investors. Notably, landlords secured a significant advantage in Q4, paying an average of $130,000, which represents a substantial 61.6% discount compared to the $338,726 paid by traditional homeowners. Historically, landlords have maintained a net buyer position, with 34 acquisitions against 17 sales in 2025, but institutional investors exhibited no transaction activity during Q4, signaling a retreat from market engagement.

The pronounced dominance of mom-and-pop landlords and the complete absence of institutional investors suggests that market dynamics in Winona County are primarily influenced by local, individual investment decisions rather than large corporate strategies. This structure fosters a localized rental housing supply, with most properties managed by owners with smaller portfolios. The significant price discounts achieved by the few active landlords in Q4 indicate an opportunistic buying environment for those with capital, while the overall low transaction volume implies a subdued market for investor activity, mainly driven by first-time landlords or small expansions in Winona County.

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 17, 2026 at 12:37 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyWinona (MN)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail