Colusa (CA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Colusa (CA)
5,258
Total Investors in Colusa (CA)
2,995
Investor Owned SFR in Colusa (CA)
2,181(41.5%)
Individual Landlords
Landlords
2,676
SFR Owned
1,842
Corporate Landlords
Landlords
319
SFR Owned
431
Understanding Property Counts

Distinct Count Methodology: The total 2,181 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 Colusa County, Owning 97.6% of Rental Homes and Driving 47.1% of Recent Sales
Investors own 41.5% of all single-family homes in Colusa County, with small 'mom-and-pop' landlords controlling a staggering 97.6% of that portfolio. In the most recent quarter, these investors bought 47.1% of all homes sold, securing them at an average 25.8% discount compared to traditional homeowners. While small landlords are aggressively acquiring property, institutional investors have zero market presence and were recently net sellers.
Landlord Owned Current Holdings
Investors own 2,181 homes, 41.5% of the market, with individuals holding 84.5% of the portfolio.
The majority of investor properties, 1,287, were acquired with cash, compared to 894 that are financed. The portfolio is heavily focused on rentals, with 2,171 of the 2,181 properties classified as rented.
Landlord vs Traditional Homeowners
Landlords paid 25.8% less than homeowners in Q1, a discount of $98,931 per property.
This pricing advantage for investors is a consistent trend, with the discount reaching as high as 36.0% ($179,596) in Q2 2025. The data shows a persistent and significant gap between what investors and homeowners pay.
Current Quarter Purchases
Landlords acquired 47.1% of all single-family homes sold in the fourth quarter.
Activity was driven entirely by mom-and-pop landlords, who made 100% of investor purchases. In Q4, 7 new single-property investors entered the market, while institutional buyers made zero acquisitions.
Ownership by Tier
Mom-and-pop landlords control 97.6% of Colusa County's investor-owned housing.
Single-property landlords alone own 82.2% of all investor-held SFRs, a total of 1,852 properties. Institutional investors (1,000+ properties) have no presence, owning 0.0% of the market.
Ownership by Tier & Type
Individuals dominate small portfolios, but companies become the majority owner in portfolios of 11+ properties.
Individuals own 87.0% of all single-property investor homes. The crossover happens decisively at the 11-20 property tier, where companies own 85.7% of the properties.
Geographic Distribution
Investor activity is highest in zip codes 95987 and 95912, holding a combined 1,244 properties.
The highest investor ownership rates are in different areas, with zip code 95950 reaching 84.0% investor ownership. This shows a clear distinction between where the most properties are and where they are most concentrated.
Historical Transactions
Landlords are aggressive net buyers, acquiring 89 properties for every 1 they sold in 2025.
This trend of accumulation has been consistent, with landlords also being strong net buyers in 2024 (98 buys vs. 16 sells). In contrast, the minimal institutional activity shows they were net sellers in 2024.
Current Quarter Transactions
Landlords were involved in 38.1% of all Q4 transactions, entirely driven by mom-and-pop buyers.
New single-property landlords paid an average of $274,579 per home. None of the investor purchases in Q4 were from other landlords, indicating they are sourcing inventory from the traditional market.

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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 2,181 homes, 41.5% of the market, with individuals holding 84.5% of the portfolio.
Detailed Findings

Investors have a significant footprint in Colusa County, owning 2,181 single-family properties, which constitutes a high 41.5% of the total market inventory of 5,258 homes.

The market is overwhelmingly characterized by small-scale ownership. Individual investors own 1,842 properties, or 84.5% of the investor portfolio, while companies own 431 properties (19.8%).

This individual dominance is also reflected in the entity count, where there are 2,676 individual landlords compared to just 319 company landlords, an 8-to-1 ratio that underscores the 'mom-and-pop' nature of the local market.

Investor portfolios show strong financial health, with more properties owned outright in cash (1,287) than with financing (894). This suggests many investors have significant equity and low leverage.

The strategic focus is clearly on rental income, as 2,171 of the 2,181 investor-owned properties are currently rented, demonstrating a near-total utilization of the portfolio for housing provision.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 25.8% less than homeowners in Q1, a discount of $98,931 per property.
Detailed Findings

Investors in Colusa County consistently acquire properties at a significant discount compared to traditional homeowners. In 2026-Q1, landlords paid an average of $283,819, which is 25.8% less than the homeowner average of $382,750.

This price gap translates to a substantial $98,931 in savings per transaction, indicating that investors are effectively sourcing deals, likely through off-market channels or by targeting properties needing renovation.

This is not a new phenomenon; the trend of deep discounts was even more pronounced in prior quarters. In Q2 2025, the gap widened to a remarkable 36.0%, representing a $179,596 price difference.

The persistence of this double-digit discount suggests a structural advantage for investors, who can move quickly with cash offers and have the expertise to evaluate properties that typical buyers may overlook.

While the discount has narrowed from its peak, the Q1 2026 figure of 25.8% remains exceptionally high and signals a key strategic advantage for real estate investing in the region.

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 acquired 47.1% of all single-family homes sold in the fourth quarter.
Detailed Findings

Investor purchasing activity surged in the fourth quarter, with landlords acquiring 8 of the 17 total SFRs sold, capturing a dominant 47.1% market share of all transactions.

The entirety of this purchasing volume came from small-scale landlords. Mom-and-pop investors (Tiers 01-04) accounted for 100% of landlord acquisitions, highlighting a grassroots expansion of the rental market.

New entrants are a primary driver of growth. Seven of the eight investor purchases were made by new, single-property landlords, indicating a healthy and accessible market for first-time investors.

In stark contrast, institutional investors with portfolios of 1,000+ properties were completely inactive, making zero purchases during the quarter.

This composition of buying activity, dominated by new and small investors, defines the character of the Colusa market as one of local, individual participation rather than corporate consolidation.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control 97.6% of Colusa County's investor-owned housing.
Detailed Findings

The investor landscape in Colusa County is unequivocally controlled by small landlords. Those owning 1-10 properties (mom-and-pop) command a near-total 97.6% share of all investor-owned SFRs.

The market structure is highly fragmented and concentrated at the smallest scale. Landlords owning just a single property represent the largest segment by far, holding 1,852 properties for an 82.2% ownership share.

The narrative of large-scale corporate ownership does not apply here. Institutional investors (Tier 09) have a 0.0% market share, with no properties recorded in their portfolios.

Mid-size landlords also represent a very small fraction of the market, with tiers from 11 to 50 properties collectively owning just 2.4% of the inventory.

This distribution reveals a market built on thousands of individual decisions by small investors, rather than the strategic acquisitions of a few large entities, a key insight for understanding local housing dynamics.

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
Individuals dominate small portfolios, but companies become the majority owner in portfolios of 11+ properties.
Detailed Findings

Ownership structure in Colusa County evolves distinctly with portfolio size. Individual investors are the bedrock of the market, owning 87.0% of single-property portfolios and 65.3% of two-property portfolios.

A clear transition to a corporate structure occurs as investors scale their operations. Companies become the majority owners in the 11-20 property tier, controlling a dominant 85.7% of homes within that segment.

This pattern suggests a professionalization threshold, where investors adopt a company structure for liability protection, financing, and operational efficiency once their portfolio grows beyond 10 properties.

Despite this shift at larger scales, the vast majority of investor-owned homes in the county are held by individuals, given the heavy concentration of ownership in the 1-5 property tiers.

This split highlights two different strategies: the accessible, individual-led investment at smaller scales and the more formalized, company-led approach for larger, more complex portfolios.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highest in zip codes 95987 and 95912, holding a combined 1,244 properties.
Detailed Findings

Geographic analysis reveals specific pockets of high investor concentration in Colusa County. The largest volume of investor-owned properties is located in zip codes 95987 (694 properties), 95912 (550 properties), and 95932 (413 properties).

However, the highest market penetration is found in different zip codes. Investor ownership rates are most extreme in 95950 (84.0%), 95955 (74.9%), and 95970 (66.3%), making these areas primarily rental markets.

This divergence between volume and rate is significant. It shows that while some zip codes have more total rental properties, others are more fundamentally defined by investor ownership, which impacts the local housing character.

Zip code 95955 stands out as a key investor hub, appearing on both lists with a high count of 250 properties and a very high ownership rate of 74.9%.

These patterns allow for targeted analysis of sub-markets, distinguishing between areas of high rental inventory and areas where investors are the dominant property owners. Comprehensive assessor data provides the foundation for such detailed geographic insights.

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 89 properties for every 1 they sold in 2025.
Detailed Findings

Historical transaction data shows landlords in Colusa County are in a phase of strong portfolio expansion. In 2025, they acted as aggressive net buyers, purchasing 89 properties while selling only one.

This high-velocity acquisition trend was also evident in 2024, when landlords bought 98 properties and sold just 16, confirming a sustained strategy of accumulation over the past two years.

The behavior of institutional investors, though limited, runs counter to the overall market trend. In 2024, the 1,000+ tier was a net seller, acquiring only one property while divesting two.

This strategic divergence highlights that the growth in investor-owned housing is entirely driven by smaller, local landlords, while the largest players are slightly contracting their limited presence.

The overwhelming buy-to-sell ratio signals strong market confidence among the county's dominant mom-and-pop investor base, who are actively increasing their holdings.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 38.1% of all Q4 transactions, entirely driven by mom-and-pop buyers.
Detailed Findings

In the fourth quarter, investors were a formidable presence in the market, participating in 8 of the 21 total SFR transactions for a 38.1% share of activity.

The entirety of this activity originated from mom-and-pop investors. New, single-property landlords were the most active, accounting for 7 of the 8 investor purchases.

A notable pricing pattern emerged among these buyers. The newest investors (Tier 01) paid a lower average price of $274,579, while the slightly larger small landlords (Tier 03-05) paid more, at $348,500.

Investors sourced all of their Q4 acquisitions from the open market, with 0% of transactions occurring between landlords. This shows they are competing directly with traditional buyers for homeowner-listed properties.

The complete absence of institutional transactions in Q4 further solidifies the market's reliance on small, local capital for its rental housing supply.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Investors Dominate Colusa County, Owning 97.6% of Rental Homes and Driving 47.1% of Recent Sales
Holdings
Landlords own 2,181 single-family residential properties in Colusa County, representing a significant 41.5% of the total market. The portfolio is overwhelmingly held by individual investors, who own 1,842 properties (84.5%), compared to 431 properties (19.8%) owned by companies.
Pricing
In Q1 2026, landlords acquired properties for 25.8% less than traditional homeowners, representing an average discount of $98,931 per property ($283,819 for landlords vs. $382,750 for homeowners).
Activity
Landlords were a major force in the Q4 2025 market, purchasing 47.1% of all homes sold (8 of 17). This activity was driven by new and small investors, with 7 new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) have near-total control of the market, owning 97.6% of all investor-held housing. In contrast, institutional investors (1,000+ properties) have a 0.0% market share.
Ownership Type
Individual investors form the backbone of the market, dominating smaller portfolios with 87.0% ownership in the single-property tier. A shift occurs in portfolios larger than 10 properties, where companies become the majority owners.
Transactions
Landlords are aggressive net buyers, acquiring 89 properties for every 1 they sold in 2025. This contrasts sharply with institutional investors, who were net sellers in their limited activity during 2024.
Market Narrative

In Colusa County, the single-family rental market is not just influenced by investors; it is defined by them. Landlords own 2,181 properties, a remarkable 41.5% of the county's entire single-family housing stock. This market is fundamentally a 'mom-and-pop' operation. Individual investors own 1,842 properties (84.5% of the portfolio), and small landlords with 1-10 properties control a staggering 97.6% of all investor-owned homes. In stark contrast, institutional investors have zero presence, challenging any narrative of a corporate takeover in this region.

The behavior of these local investors reveals a clear strategy of opportunistic acquisition. In the most recent quarter of activity, they purchased 47.1% of all homes sold, demonstrating significant market power. They achieve this by securing properties at a deep 25.8% discount compared to traditional homeowners, a savings of nearly $100,000 per home. This buying is fueling growth, with 7 new single-property landlords entering the market in Q4. Transaction data confirms landlords are in a strong accumulation phase, acting as net buyers while the few institutional players have been net sellers.

The key takeaway for the Colusa County housing market is its profound reliance on small, local investors for its rental supply. This structure creates a highly fragmented but active market where individuals, not corporations, drive trends. The high investor ownership rate, combined with their ability to purchase at a discount, indicates a mature rental market where local expertise and deal-sourcing provide a competitive edge. This dynamic suggests that future market trends will be dictated by the collective actions of thousands of small players rather than the strategic moves of a few large firms. For deeper analysis, professionals can leverage a comprehensive property data API to track these granular shifts.

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 20, 2026 at 11:36 PM
Data Period Q1 2026
Geography Level County
Geography Colusa (CA)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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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
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
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Licensing & Usage Rights

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How to cite this report

BatchData. (2026). Q1 2026 Colusa (CA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ca-colusa/. Licensed under CC BY-NC-ND 4.0.