Columbia (WI) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Columbia (WI)
18,682
Total Investors in Columbia (WI)
2,716
Investor Owned SFR in Columbia (WI)
2,117(11.3%)
Individual Landlords
Landlords
2,317
SFR Owned
1,720
Corporate Landlords
Landlords
399
SFR Owned
416
Understanding Property Counts

Distinct Count Methodology: The total 2,117 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 Command 99.9% of Columbia County's Investor Market, Securing 11.5% Q4 Price Discounts
Investors own 2,117 SFR properties in Columbia County, WI (11.3% of the market), a portfolio almost entirely controlled by small mom-and-pop landlords (99.9%). In Q4, landlords purchased 15.6% of homes sold, paying an average of 11.5% less than traditional homeowners. The market is defined by small, individual investors who were strong net buyers in 2024, with institutional investors completely absent from the area.
Landlord Owned Current Holdings
Investors own 2,117 SFR properties, with individuals holding a dominant 81.2% share.
A striking 100% of these properties (2,117) are owned outright in cash, with no financing recorded. The portfolio is heavily focused on rentals, with 2,067 properties (97.6%) actively rented out.
Landlord vs Traditional Homeowners
Landlords secured an 11.5% discount in Q4, paying $42,263 less than homeowners on average.
This Q4 discount marks a dramatic reversal from the prior three quarters of 2025, where landlords paid significant premiums, including a staggering 77.2% premium in Q2. Overall, landlord acquisition prices have appreciated significantly, rising from an average of $290,297 in 2020-2023 to $488,149 in 2025.
Current Quarter Purchases
Landlords acquired 15.6% of all SFR properties sold in Columbia County during Q4 2025.
Mom-and-pop landlords were exclusively responsible for this activity, accounting for 100% of the 5 properties purchased by investors. Institutional investors were completely absent, making zero acquisitions this quarter.
Ownership by Tier
Mom-and-pop landlords have near-total control of the market, owning 99.9% of all investor-held SFRs.
Single-property landlords are the backbone of the rental market, alone accounting for 83.2% of all investor-owned housing. Institutional investors (1,000+ properties) have zero ownership stake in the county.
Ownership by Tier & Type
Individual investors are the majority owners in every portfolio tier, peaking at 91.5% control in the 6-10 property segment.
There is no 'crossover point' where companies become the majority owners; their highest market share is just 28.8% in the 3-5 property tier. This structure highlights a market free from corporate consolidation.
Geographic Distribution
Investor activity is concentrated in zip codes 53901, 53555, and 53955, which hold 56.2% of all investor-owned SFRs.
The highest investor ownership rate is found in the small enclave of 53571, where investors own 100.0% of the properties. The areas with the highest property counts are different from those with the highest penetration rates, such as 53561, which has a 35.8% investor ownership rate.
Historical Transactions
Investors in Columbia County were aggressive net buyers in 2024, acquiring 3.68 properties for every one they sold.
This net acquisition activity demonstrates strong positive market sentiment, with investors adding a net total of 51 properties to their portfolios through 70 purchases versus only 19 sales over the year. Data on institutional transactions was not available.
Current Quarter Transactions
Landlords were involved in 14.9% of all Q4 2025 real estate transactions, with small investors driving all activity.
All 7 investor transactions were by mom-and-pop landlords, and 0% of these purchases were from other landlords, indicating all acquisitions came from the homeowner market. Investors in the 3-5 property tier paid a higher price ($403,200) than new single-property investors ($312,667).

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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 2,117 SFR properties, with individuals holding a dominant 81.2% share.
Detailed Findings

In Columbia County, investors hold a significant 2,117 Single-Family Residential properties, accounting for 11.3% of the total 18,682 SFRs in the market.

The ownership structure is overwhelmingly dominated by individual investors, who own 1,720 properties, or 81.2% of the entire investor portfolio, compared to 416 properties (19.7%) owned by companies.

This individual dominance extends to the entity level, with 2,317 individual landlords far outnumbering the 399 company landlords, reinforcing the 'mom-and-pop' character of the local rental market.

A highly unusual characteristic of this market is the complete absence of financing; all 2,117 investor-owned properties are held in cash, suggesting low leverage and high equity among local investors.

The portfolio is clearly geared towards generating rental income, as evidenced by the 2,067 properties classified as rented, which represents 97.6% of all investor-owned homes.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured an 11.5% discount in Q4, paying $42,263 less than homeowners on average.
Detailed Findings

In Q4 2025, landlords demonstrated sharp purchasing acumen, acquiring properties for an average of $325,600, which is 11.5% less than the $367,863 paid by traditional homeowners—a net discount of $42,263 per property.

This Q4 discount represents a significant market shift, completely reversing the trend seen in the first three quarters of 2025 where landlords consistently paid premiums. The volatility peaked in Q2, when landlords paid an average of $680,746, a $296,506 (77.2%) premium over homeowners.

The data reveals substantial price appreciation over time. The average landlord acquisition price has surged 68.2% from the 2020-2023 average of $290,297 to the 2025 average of $488,149.

The sharp quarterly fluctuations in landlord pricing, from a 77.2% premium to an 11.5% discount within months, suggest that a small number of non-standard or high-value transactions can heavily influence the quarterly averages in a smaller market like Columbia County.

Despite the lack of purchases in most recent quarters, the price data indicates that when landlords do buy, their pricing strategy relative to the homeowner market is highly variable and opportunistic.

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 acquired 15.6% of all SFR properties sold in Columbia County during Q4 2025.
Detailed Findings

Investor activity accounted for 15.6% of the housing market in Q4, with landlords purchasing 5 of the 32 total SFRs sold in Columbia County.

The entirety of this purchasing activity was driven by small investors, as mom-and-pop landlords (Tiers 01-04) made 100% of the investor acquisitions. Institutional investors with over 1,000 properties had no presence in the market.

New entrants are the lifeblood of the local investor market. Six new landlord entities purchased 4 single properties, representing 80.0% of all investor buying activity for the quarter.

The data shows a clear concentration at the smallest end of the investor spectrum, with no purchases made by any investor holding more than five properties.

This Q4 activity reinforces the market's structure as one built on a foundation of new and small-scale landlords rather than portfolio growth from larger, established players.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords have near-total control of the market, owning 99.9% of all investor-held SFRs.
Detailed Findings

The investor landscape in Columbia County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords (owning 1-10 properties) control 99.9% of the 2,117 investor-owned SFRs.

Ownership is heavily concentrated in the smallest tier, with single-property landlords alone holding 1,790 properties, which constitutes a remarkable 83.2% of the entire investor-owned housing stock.

The next three tiers combined—those owning 2 to 10 properties—make up just 16.7% of the portfolio, further highlighting the market's reliance on first-time and very small investors.

There is a complete absence of large-scale and institutional investment, with zero properties held by landlords in the 1,000+ property tier. This signifies a highly fragmented market insulated from large corporate influence.

The data shows a market structure that is broad at the base but lacks any significant scale, with almost no investors growing their portfolios beyond 10 properties in the county.

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 majority owners in every portfolio tier, peaking at 91.5% control in the 6-10 property segment.
Detailed Findings

Across all portfolio sizes in Columbia County, individual investors maintain majority control. Their ownership share remains robust from the single-property tier (81.5%) all the way to the 6-10 property tier (91.5%).

Unlike in more consolidated markets, there is no tier where company ownership surpasses individual ownership. This absence of a 'crossover point' indicates that even as portfolios grow modestly, they tend to remain under individual control.

Company ownership reaches its peak in the 3-5 property tier, where corporations hold 47 properties, or 28.8% of the homes in that segment.

Interestingly, the corporate share declines in the next tier up, falling to just 8.5% in the 6-10 property category. This suggests that the few companies operating in the market do not typically scale beyond a small handful of properties.

This pattern reinforces that the path to portfolio growth in Columbia County is predominantly an individual endeavor, not a corporate one.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in zip codes 53901, 53555, and 53955, which hold 56.2% of all investor-owned SFRs.
Detailed Findings

A significant concentration of investor properties exists within just three zip codes. Together, 53901 (Portage), 53555 (Lodi), and 53955 (Poynette) are home to 1,189 investor-owned SFRs, representing 56.2% of the county's total investor portfolio.

The largest market by sheer volume is 53901, which contains 484 investor-owned homes, corresponding to a 12.0% ownership rate.

A key finding is the divergence between high-volume and high-penetration areas. The zip code 53571 stands out with a 100.0% investor ownership rate, indicating it is a small, fully investor-controlled area, though it does not top the list for property count.

Similarly, 53561 shows a very high concentration with a 35.8% investor ownership rate, well above the county average of 11.3%, signaling a prime target for rental investment.

This geographic analysis reveals distinct investor strategies: targeting larger population centers like Portage for volume, while also identifying smaller communities where they can achieve a much higher market share.

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
Key Insight
Investors in Columbia County were aggressive net buyers in 2024, acquiring 3.68 properties for every one they sold.
Detailed Findings

Landlords acted as strong net buyers throughout 2024, signaling confidence in the Columbia County real estate market. They purchased 70 properties while selling only 19, resulting in a buy-to-sell ratio of 3.68 to 1.

This aggressive acquisition strategy led to a net expansion of investor portfolios in the county by 51 SFR properties over the course of the year.

The high volume of buying compared to selling suggests that investors were focused on accumulation and long-term holds rather than short-term flipping or divestment during 2024.

No specific data is available for institutional (1,000+ unit) investors, but their overall absence from ownership statistics in the county implies their transaction volume was likely zero.

The transaction behavior from 2024 paints a picture of a growing, acquisitive investor base composed almost entirely of small-scale operators looking to expand their local holdings.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 14.9% of all Q4 2025 real estate transactions, with small investors driving all activity.
Detailed Findings

In the final quarter of 2025, landlords participated in 7 of the 47 total SFR transactions, capturing a 14.9% share of all market activity.

This activity was exclusively driven by mom-and-pop investors, who accounted for 100% of landlord-related transactions. Institutional investors logged zero transactions, reflecting their lack of presence in the county.

A notable finding is that investors sourced all new properties from the general market, with 0% of their purchases coming from other landlords. This indicates a focus on acquiring homes from traditional homeowners rather than trading within the investor community.

Pricing strategies appeared to differ by experience level. Investors in the 3-5 property tier paid an average of $403,200, a significant $90,533 more than the $312,667 average paid by new single-property landlords.

First-time or single-property investors were the most active group, responsible for 6 of the 7 (85.7%) landlord transactions, underscoring their role as the primary engine of investor market activity.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Columbia County's investor market is defined by mom-and-pop landlords who control 99.9% of holdings and acquire properties at significant discounts.
Holdings
In Columbia County, landlords own 2,117 SFR properties, representing 11.3% of the total market. The portfolio is overwhelmingly held by individual investors, who own 1,720 homes (81.2%), compared to companies which own just 416 (19.7%).
Pricing
Landlords demonstrated significant purchasing power in Q4 2025, paying 11.5% less than traditional homeowners. This amounted to a discount of $42,263 per property, with an average purchase price of $325,600 versus the homeowner average of $367,863.
Activity
During Q4 2025, landlords purchased 5 properties, accounting for 15.6% of all sales. Activity was driven entirely by new and small investors, with 6 new single-property landlord entities entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) exert near-total control over the investor market with a 99.9% ownership share. In contrast, institutional investors (1,000+ properties) have zero presence, holding 0.0% of the market.
Ownership Type
Individual investors dominate every portfolio size, meaning there is no tier where companies become the majority owner. Even as portfolios grow, they remain overwhelmingly in the hands of individuals, reinforcing a non-corporate market structure.
Transactions
Landlords in Columbia County were strong net buyers in 2024, with a 3.68x buy-to-sell ratio based on 70 acquisitions versus only 19 sales. Institutional investors were completely inactive, with no recorded transactions.
Market Narrative

The investor-owned housing market in Columbia County, WI, is the quintessential example of a decentralized, locally-driven ecosystem. Investors own 2,117 properties, making up 11.3% of the county's single-family housing stock. This portfolio is firmly in the hands of small operators, with mom-and-pop landlords (1-10 properties) controlling 99.9% of all holdings and individual owners accounting for 81.2%. Institutional capital is entirely absent, creating a market free from large-scale corporate influence.

Investor behavior reflects this small-scale structure. In Q4 2025, landlords acquired 15.6% of homes sold, all of which were purchased by mom-and-pop investors. They demonstrated savvy purchasing by securing an 11.5% discount compared to traditional homeowners. This activity is consistent with their strong net-buyer position in 2024, when they acquired nearly four properties for every one sold. The market is fueled by a steady stream of new entrants, with first-time landlords driving the majority of recent purchases.

The key takeaway from the data is that Columbia County's rental market is stable, non-corporate, and built on a foundation of small, independent landlords. Growth comes from gradual, individual acquisitions rather than large portfolio trades. The complete lack of institutional presence and the reliance on cash purchases suggest a market that is both insulated from and unattractive to the large-scale financial players shaping real estate trends elsewhere. This creates a distinct environment where local dynamics, not national trends, dictate investor activity.

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 10:21 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyColumbia (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
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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
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
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 Section12 Transactions