Florence (WI) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Florence (WI)
4,305
Total Investors in Florence (WI)
2,513
Investor Owned SFR in Florence (WI)
1,841(42.8%)
Individual Landlords
Landlords
2,100
SFR Owned
1,493
Corporate Landlords
Landlords
413
SFR Owned
432
Understanding Property Counts

Distinct Count Methodology: The total 1,841 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 Investors Dominate Florence County, Owning 42.8% of Homes with Zero Institutional Presence
In Florence County, landlords own 1,841 single-family properties, a massive 42.8% of the total market. This ownership is almost exclusively in the hands of small 'mom-and-pop' investors (99.8%), with individuals accounting for 81.1% of all investor-owned homes. In Q1 2026, landlords continued to expand their portfolios, purchasing properties at a significant 27.9% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 1,841 homes (42.8% of the market), with individuals holding 81.1%.
The vast majority of investor-owned properties are held in cash (1,642) versus financed (199), a ratio of more than 8 to 1. Individual landlords (2,100) vastly outnumber company landlords (413). In total, 1,824 properties are classified as rentals.
Landlord vs Traditional Homeowners
Landlords secured a 27.9% discount in Q1, paying $94,557 less than homeowners.
The price gap between landlords and homeowners has been consistently large but volatile, ranging from a 7.4% discount in Q3 2025 to a staggering 55.6% discount in Q1 2025. Landlords paid an average of $244,255 in Q1 2026, compared to the $338,812 paid by traditional homeowners.
Current Quarter Purchases
Landlords bought one-third of all homes sold in the last quarter, representing 33.3% of purchases.
All 100% of landlord purchases last quarter were made by 'mom-and-pop' investors in the smallest tiers. Zero properties were acquired by institutional investors. These 6 purchases were all made by new single-property landlords, represented by 11 new entities entering the market.
Ownership by Tier
Mom-and-pop landlords control a near-total 99.8% of all investor-owned rental housing.
Single-property landlords alone own 87.2% of all investor-held SFRs, totaling 1,651 properties. Institutional investors with over 1,000 properties have zero presence, owning 0.0% of the market.
Ownership by Tier & Type
Individual investors are the dominant force across every single ownership tier in the county.
Unlike in larger markets, there is no crossover point where companies become the majority owners; individuals hold the majority even in the 6-10 property tier (66.7%). Individuals own 1,355 single-property rentals, while companies own just 371.
Geographic Distribution
Investor activity is highly concentrated, with ownership rates hitting 60% in zip code 54542.
Zip code 54121 has the highest raw count of investor properties at 1,247, but three zip codes show investor ownership rates over 40%. The zip code 54120 has an investor ownership rate of 54.7%.
Historical Transactions
Landlords are aggressive net buyers, acquiring 11 properties for every 1 they sold in Q1 2026.
This trend of accumulation is consistent over time, with landlords buying 124 properties and selling only 2 in 2025. In 2024, they purchased 82 properties while selling just 6. There is no institutional transaction data, as they are not active in the market.
Current Quarter Transactions
Landlords were involved in 36.7% of all Q1 market transactions, all from the smallest tier.
All 11 landlord transactions were conducted by single-property investors, who paid an average of $244,255. Of these purchases, 18.2% (2 properties) were acquired from other landlords, indicating a degree of churn within the investor community.

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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 1,841 homes (42.8% of the market), with individuals holding 81.1%.
Detailed Findings

Investor ownership in Florence County is exceptionally high, with landlords holding 1,841 of the 4,305 available single-family properties, representing a market penetration of 42.8%.

The market is overwhelmingly characterized by individual investors rather than corporations. Individuals own 1,493 properties (81.1% of the investor-owned total), while companies hold the remaining 432 properties (23.5%).

This individual dominance is also reflected in the entity count, with 2,100 individual landlords compared to just 413 company landlords, demonstrating that the typical investor is a person, not a large firm.

Cash is the preferred method of acquisition and holding in this market. A staggering 1,642 investor-owned properties are held free and clear, while only 199 are financed, indicating a well-capitalized investor base that is less sensitive to interest rate fluctuations.

The portfolio is heavily geared towards generating rental income, with 1,824 properties identified as rented, confirming the primary business model for investors in Florence County.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a 27.9% discount in Q1, paying $94,557 less than homeowners.
Detailed Findings

Investors in Florence County demonstrate a consistent ability to acquire properties well below typical market prices. In Q1 2026, landlords paid an average of $244,255, a 27.9% discount compared to the $338,812 average paid by traditional homeowners.

This price advantage translates to a significant financial benefit of $94,557 per property, showcasing a sophisticated purchasing strategy or a focus on off-market and distressed assets.

The discount for investors has been a persistent feature of the market, though its magnitude fluctuates significantly by quarter. The Q1 2026 discount of 27.9% is substantial, but it follows a period of even more extreme gaps, such as the 55.6% ($181,089) discount observed in Q1 2025.

This pattern of securing deep discounts suggests that investors are not competing directly with homeowners for the same properties, but are instead targeting different segments of the inventory, potentially requiring renovations or having other complexities.

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

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords bought one-third of all homes sold in the last quarter, representing 33.3% of purchases.
Detailed Findings

Landlord purchasing activity remains robust, capturing 33.3% of all SFR sales in the most recent quarter with 6 acquisitions out of a total of 18 market-wide.

The acquisition market is exclusively driven by the smallest investors. Mom-and-pop landlords (1-10 properties) accounted for 100% of all investor purchases, highlighting the grassroots nature of market growth.

In fact, all 6 properties purchased by investors went to new, single-property landlords (Tier 01). This indicates a healthy influx of new entrants into the local real estate investing scene rather than consolidation by larger players.

Institutional investors (1,000+ properties) had no purchasing activity, recording 0 acquisitions. Their absence underscores that the investment landscape in Florence County is defined by local, small-scale participants.

The 6 properties acquired by the smallest tier were purchased by 11 distinct entities, suggesting some acquisitions may involve partnerships or co-ownership structures among new investors.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a near-total 99.8% of all investor-owned rental housing.
Detailed Findings

The ownership structure in Florence County is definitively decentralized, with mom-and-pop investors (1-10 properties) controlling 99.8% of the entire investor-owned SFR portfolio.

The market's foundation rests on its smallest participants. Single-property landlords (Tier 01) are the most significant group, owning 1,651 properties, which constitutes a remarkable 87.2% of all investor-owned housing.

As portfolio sizes increase, the number of properties drops off precipitously. Two-property landlords hold 127 properties (6.7%), and those with 3-5 properties hold 105 (5.5%), with all larger tiers combined making up less than 1% of the total.

There is no institutional investor footprint in Florence County. The 1,000+ property tier (Tier 09) holds 0 properties, indicating this market is completely off the radar for large-scale corporate landlords.

This distribution reveals a highly fragmented market, which can create opportunities for local services but also means there is no single large entity influencing rental rates or property values.

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 force across every single ownership tier in the county.
Detailed Findings

Individual investors overwhelmingly control the market at every level of ownership. In the largest single-property tier, individuals own 1,355 homes (78.5%) compared to just 371 owned by companies.

The trend of individual dominance continues up the ownership ladder. Individuals own 68.2% of two-property portfolios and 85.7% of portfolios sized 3-5 properties.

Florence County's market structure defies national trends where companies typically take over as portfolio sizes grow. Here, there is no crossover point; individuals maintain a clear majority even in the 6-10 property tier, holding 66.7% of assets.

This data confirms that the typical investor journey in this area involves individuals scaling their personal portfolios, rather than the market being professionalized by corporate entities.

The limited presence of company ownership even at mid-size tiers suggests that the local investment environment may favor direct, personal management over corporate structures.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with ownership rates hitting 60% in zip code 54542.
Detailed Findings

Investor ownership is not evenly distributed across Florence County, but is instead clustered in specific zip codes. The 54542 zip code has the highest concentration, with an investor ownership rate of 60.0%.

The zip code 54120 follows closely, with 54.7% of its single-family homes owned by investors, indicating that in certain pockets of the county, landlords are the majority owners.

While some areas have extreme ownership rates, the largest volume of investor properties is located in the 54121 zip code, which contains 1,247 investor-owned homes, representing 42.1% of its housing stock.

This distinction between high-volume and high-percentage areas is critical. It shows that while investors have a broad presence, their deepest penetration occurs in smaller, more targeted submarkets.

In contrast, the 54151 zip code has a much lower, yet still significant, investor ownership rate of 18.7%, illustrating the varied investment landscape within the county.

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
Landlords are aggressive net buyers, acquiring 11 properties for every 1 they sold in Q1 2026.
Detailed Findings

The investor community in Florence County is in a strong accumulation phase. In Q1 2026, landlords were aggressive net buyers, purchasing 11 properties while selling only 1.

This pattern of net buying is not a recent development but a consistent long-term trend. Throughout 2025, investors acquired 124 properties and sold a mere 2, a buy-to-sell ratio of 62-to-1.

The previous year, 2024, showed a similar trend with 82 properties bought versus 6 sold. This sustained, high-volume net buying activity demonstrates strong confidence in the local market and a focus on long-term holds.

The complete absence of transaction data for institutional investors (1,000+ tier) aligns with their 0% ownership stake. The transaction market, like the ownership market, is entirely driven by smaller players.

This relentless acquisition pace suggests that the high 42.8% investor market share is not static but is likely to continue growing in the near future.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 36.7% of all Q1 market transactions, all from the smallest tier.
Detailed Findings

Investors played a significant role in the Q1 market, participating in 11 of the 30 total SFR transactions, which amounts to a 36.7% share of all activity.

Transactional activity is exclusively concentrated at the entry level of the market. All 11 landlord transactions were carried out by investors in the single-property (Tier 01) category.

These new and small-scale investors paid an average purchase price of $244,255 in Q1, aligning with the significant discount they secured compared to traditional homeowners.

There is evidence of an internal market for rental properties, with 18.2% of investor purchases (2 of 11) sourced from other landlords. This indicates a liquid market where investors can both enter and exit positions by transacting with peers.

No transactions were recorded for any landlord tier larger than a single property, reinforcing that market dynamism and growth are currently being driven entirely by new and small investors.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Florence County is a mom-and-pop investor stronghold, with small landlords owning 42.8% of all homes and buying at a 28% discount.
Holdings
Landlords own 1,841 SFR properties, representing a massive 42.8% of the Florence County market. The portfolio is dominated by individual investors, who hold 1,493 of these properties (81.1%), compared to 432 (23.5%) held by companies.
Pricing
In Q1 2026, landlords demonstrated significant purchasing power by paying an average of $244,255, which is 27.9% less than the $338,812 paid by traditional homeowners, a discount of $94,557 per property.
Activity
Investors acquired 33.3% of all properties sold in the last quarter, with 100% of this activity driven by new single-property landlords. A total of 11 new landlord entities entered the market through 6 purchases.
Market Share
The market is almost entirely controlled by small landlords (1-10 properties), who own 99.8% of all investor-held housing. In contrast, institutional investors (1,000+ properties) have zero presence, owning 0.0% of the market.
Ownership Type
Individual investors dominate every ownership tier, holding the majority of properties even in portfolios of 6-10 homes. There is no crossover point where companies become the majority owners, a stark contrast to national trends.
Transactions
Landlords are strong net buyers with an 11-to-1 buy/sell ratio in Q1 2026 (11 buys vs 1 sell). Institutional investors are completely inactive, recording zero buys and zero sells, reinforcing their absence from the market.
Market Narrative

The real estate market in Florence County, Wisconsin, is defined by an extraordinary concentration of small, local investors. Landlords now own 1,841 single-family homes, a staggering 42.8% of the county's entire SFR housing stock. This landscape is not shaped by Wall Street firms but by Main Street individuals, who own 81.1% (1,493) of these properties. The market structure is overwhelmingly composed of 'mom-and-pop' landlords (1-10 properties), who control a near-total 99.8% of all investor-owned homes, while institutional investors with 1,000+ properties have absolutely no presence.

Investor behavior is characterized by aggressive acquisition and savvy deal-making. In the first quarter of 2026, landlords were involved in 36.7% of all property transactions and demonstrated a clear purchasing advantage, acquiring homes for an average of $244,255, a 27.9% discount compared to traditional homeowners. This activity is driven entirely by new market entrants, with 100% of recent investor purchases made by single-property landlords. Furthermore, landlords are in a heavy accumulation phase, acting as strong net buyers with an 11-to-1 buy-to-sell ratio in Q1, a trend consistent with prior years.

The key takeaway from this Investor Pulse report is that Florence County represents a hyper-local, highly fragmented market dominated by individual capital and small-scale operations. The high ownership rate, significant purchasing discounts, and continuous net buying from mom-and-pop investors signal a market where local knowledge and relationships provide a deep competitive advantage. The complete absence of institutional capital suggests this market operates on a different set of principles than major metropolitan areas, making it a unique case study in grassroots real estate investment.

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 05:36 AM
Data Period Q1 2026
Geography Level County
Geography Florence (WI)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
Chart Section4 Distribution
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Chart Section5 Holdings
Chart Section5 Holdings
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Chart Section6 Prices
Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
Chart Section6 Trends
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Chart Section7 Purchases
Chart Section7 Purchases
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Chart Section7 Tiers
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
Chart Section8 Prices Q4
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Chart Section8 Prices 2020
Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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
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Chart Section11 Institutional
Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Florence (WI) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-wi-florence/. Licensed under CC BY-NC-ND 4.0.