Stark (ND) Investor Pulse Report (2025-Q4)

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

Market Overview

Total SFR Properties in Stark (ND)
9,022
Total Investors in Stark (ND)
2,144
Investor Owned SFR in Stark (ND)
1,776(19.7%)
Individual Landlords
Landlords
1,955
SFR Owned
1,542
Corporate Landlords
Landlords
189
SFR Owned
284
Understanding Property Counts

Distinct Count Methodology: The total 1,776 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 Stark County, Controlling 91.3% of Investor SFRs as Strong Net Buyers
Investors own 1,776 SFR properties (19.7% of the market) in Stark County, with individual mom-and-pop landlords (1-10 properties) controlling a staggering 91.3%. In Q4, landlords were active net buyers, purchasing 31.8% of all homes sold at an 11.3% discount compared to homeowners, while institutional investors remain a negligible force with only 0.3% of holdings.
Landlord Owned Current Holdings
Landlords own 1,776 SFR properties in Stark County, with individuals controlling 86.8%.
Cash purchases (1,278) significantly outnumber financed properties (498), indicating high liquidity among investors. The portfolio is overwhelmingly rental-focused, with 1,745 of the 1,776 properties being non-owner-occupied. Individuals comprise the vast majority of landlords, with 1,955 entities compared to just 189 companies.
Landlord vs Traditional Homeowners
Landlords paid 11.3% less than homeowners in Q4, a $40,801 average discount.
The landlord purchasing discount has been volatile, narrowing from a high of 21.0% ($73,813) in Q3 2025 to 11.3% in Q4. This suggests changing market dynamics or negotiation power. Prices have steadily appreciated from the 2020-2023 average of $250,735 to the Q4 2025 average of $319,148.
Current Quarter Purchases
Landlords acquired 31.8% of all SFR properties sold in Q4 2025.
Mom-and-pop landlords (1-10 properties) drove this activity, accounting for 79.1% of all investor purchases. The market saw an influx of 46 new single-property landlords, highlighting strong grassroots entry. Institutional investors (1000+) had a minimal impact, purchasing only 2 properties (4.7% share).
Ownership by Tier
Mom-and-pop landlords control a dominant 91.3% of investor-owned housing in Stark County.
This concentration at the small-investor level leaves institutional investors (1000+ properties) with a minuscule 0.3% share, or just 6 properties total. Single-property landlords are the largest group, owning 1,332 properties, which is 73.3% of the entire investor-owned SFR market.
Ownership by Tier & Type
Companies become the dominant owner type in the 6-10 property portfolio tier.
While individuals own 90.7% of single-property portfolios, companies take majority control at the 6-10 property tier (72.5%) and the 11-20 property tier (85.7%). An anomaly exists in the 51-100 tier, which is 97.9% individual-owned, suggesting a unique local landlord holds that portfolio.
Geographic Distribution
Investor ownership is heavily concentrated in specific zip codes, reaching 69.1% in 58655.
While zip code 58601 has the highest absolute number of investor-owned homes (1,092), its 14.3% ownership rate is modest. In contrast, smaller zip codes like 58630 (64.6%), 58638 (57.1%), and 58622 (44.5%) show extremely high investor penetration, indicating they are rental-dominant communities.
Historical Transactions
Landlords in Stark County are aggressive net buyers, acquiring 6.9 properties for every 1 they sold in Q4.
This strong net buying trend is not new; landlords have been consistently accumulating properties, adding a net 286 properties in 2025 and 233 in 2024. Even the small institutional segment has been a net buyer, signaling confidence across all investor sizes in the local market.
Current Quarter Transactions
Landlords were involved in 30.0% of all Q4 2025 real estate transactions.
A massive price gap exists between buyer tiers: institutional investors paid an average of $96,000, which is 72.1% less than the $343,867 paid by new single-property landlords. Institutions were also more likely to buy from other landlords, sourcing 33.3% of their deals this way, compared to just 4.3% for new entrants.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Landlords own 1,776 SFR properties in Stark County, with individuals controlling 86.8%.
Detailed Findings

Investors hold a significant 19.7% share of the single-family residential market in Stark County, with a total portfolio of 1,776 properties.

The investor landscape is overwhelmingly dominated by individual 'mom-and-pop' owners, who control 1,542 properties, accounting for 86.8% of all investor-owned SFRs. In contrast, company-owned properties number just 284, or 16.0% of the total.

A strong preference for all-cash transactions is evident, with 1,278 properties owned outright versus only 498 that are financed. This 2.6-to-1 cash-to-financed ratio suggests investors in this market possess substantial capital and may be less sensitive to interest rate fluctuations.

The portfolio's primary purpose is clear, with 1,745 properties classified as rented or non-owner-occupied. This demonstrates a deep focus on generating rental income rather than speculative holding.

The entity count further solidifies the market structure, with 1,955 individual landlords compared to only 189 company landlords. This highlights that the rental market in Stark County is supported by a large base of small-scale, local investors, not large corporations.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 11.3% less than homeowners in Q4, a $40,801 average discount.
Detailed Findings

Investors in Stark County consistently purchase properties at a notable discount compared to traditional homeowners. In Q4 2025, landlords paid an average of $319,148, which is 11.3% less than the $359,949 paid by homeowners, representing a savings of $40,801 per property.

This price advantage has fluctuated throughout the year, indicating dynamic market conditions. The discount was most significant in Q3 2025, when landlords achieved a 21.0% price advantage ($73,813 difference), but it narrowed considerably from the 2.5% discount ($8,305 difference) seen in Q1 2025.

The long-term price trend shows significant appreciation in investor acquisition costs. The average purchase price in Q4 2025 ($319,148) is substantially higher than the average of $250,735 during the 2020-2023 period, marking a 27.3% increase and reflecting broader market price growth.

While acquisition activity was quiet in the most recent quarters based on the data, historical pricing patterns reveal that investors are adept at securing properties below the typical market rate paid by owner-occupants.

The consistent ability of investors to acquire properties for less suggests sophisticated purchasing strategies, such as targeting off-market deals, purchasing properties requiring renovation, or leveraging cash offers for better negotiating power.

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 31.8% of all SFR properties sold in Q4 2025.
Detailed Findings

Investor activity surged in Q4 2025, with landlords purchasing 42 of the 132 total SFRs sold, capturing a substantial 31.8% of the market share for the quarter.

The backbone of this purchasing activity was small-scale investors. Mom-and-pop landlords (Tiers 01-04) were responsible for 34 of these acquisitions, representing 79.1% of all landlord purchases and demonstrating their collective market power.

New entrants were a primary driver of Q4 activity. The single-property tier alone saw 46 new landlord entities acquire 30 properties, accounting for 69.8% of all investor-bought homes. This signals a healthy and accessible entry point for new real estate investors in Stark County.

In stark contrast, institutional investors (Tier 09) had a negligible presence, acquiring just 2 properties, or 4.7% of the investor total. This data counters the narrative of large corporations dominating the purchasing landscape.

Activity was distributed across various mid-size tiers as well, though in smaller volumes, with landlords in every tier from 11 to 1000+ properties making at least one acquisition. This indicates a diverse ecosystem of investors actively growing their portfolios.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords control a dominant 91.3% of investor-owned housing in Stark County.
Detailed Findings

The ownership structure of investor-held real estate in Stark County is overwhelmingly concentrated among small-scale landlords. Mom-and-pop investors (owning 1-10 properties) control a combined 91.3% of the market, cementing their role as the primary providers of single-family rental housing.

Single-property landlords (Tier 01) alone represent the largest segment by a wide margin, owning 1,332 properties. This accounts for 73.3% of all investor-owned SFRs, highlighting the market's reliance on first-time and small-scale investors.

The influence of large institutional investors is virtually nonexistent in this market. The 1000+ property tier holds just 6 properties, a mere 0.3% of the total investor portfolio, challenging any notion of corporate dominance.

Mid-size landlords (11-1000 properties) fill the gap but still represent a smaller portion of the market, collectively owning 8.4% of the properties. The 51-100 property tier is the largest of this group, with 94 properties (5.2% share).

This distribution reveals a highly fragmented and decentralized rental market, powered by thousands of individual decisions rather than a few large corporate strategies. This structure has significant implications for market stability and the nature of landlord-tenant relationships 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
Companies become the dominant owner type in the 6-10 property portfolio tier.
Detailed Findings

Individual investors form the foundation of the market, overwhelmingly dominating the smaller portfolio tiers. They own 90.7% of single-property portfolios and 88.3% of two-property portfolios, showcasing their role as the primary entry point for real estate investment.

A distinct crossover point occurs as portfolios grow. In the 6-10 property tier, ownership flips dramatically, with companies controlling 72.5% of the properties. This trend continues in the 11-20 property tier, where companies own a commanding 85.7% share, indicating a strategic shift to corporate structures for managing larger portfolios.

Despite this trend, individual ownership remains significant even at larger scales. The 51-100 property tier is an interesting outlier, with individuals owning 92 of the 94 properties (97.9%), suggesting the presence of a large, family-run or sole-proprietor portfolio.

In the smallest tiers (1-5 properties), individuals own a combined 1,441 properties compared to 185 for companies, a ratio of nearly 8-to-1. This highlights the grassroots nature of the local rental market.

This data reveals a sophisticated market structure where investors appear to incorporate their holdings as they scale past five properties, likely for liability protection and operational efficiency, before large individual holdings reappear at higher tiers.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor ownership is heavily concentrated in specific zip codes, reaching 69.1% in 58655.
Detailed Findings

Investor activity in Stark County is not uniform but highly concentrated in specific geographic pockets. Four zip codes exhibit investor ownership rates above 44%, signaling areas that are predominantly rental markets.

The highest concentration is found in ND-Stark-58655, where investors own 134 properties, representing an extraordinary 69.1% of all SFRs in that area. This is closely followed by ND-Stark-58630, with a 64.6% investor ownership rate.

A clear distinction exists between areas with the highest count versus the highest percentage of investor ownership. ND-Stark-58601 contains the largest number of investor properties at 1,092, but this only constitutes a 14.3% ownership rate, reflecting its larger overall size.

This pattern suggests targeted investment strategies, where landlords focus on specific neighborhoods or towns, potentially due to factors like housing affordability, demand from a specific workforce, or local economic drivers.

The top five zip codes by property count (58601, 58622, 58630, 58655, 58652) collectively account for 1,687 properties, or 95.0% of all investor-owned SFRs in the county, demonstrating significant geographic consolidation of rental housing.

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 in Stark County are aggressive net buyers, acquiring 6.9 properties for every 1 they sold in Q4.
Detailed Findings

Investors in Stark County are in a strong accumulation phase, consistently buying far more properties than they sell. In Q4 2025, landlords made 62 purchases while only making 9 sales, resulting in a buy-to-sell ratio of 6.9-to-1 and a net gain of 53 properties.

This pattern of net acquisition has been consistent over the past two years. For the full year of 2025, investors added a net 286 properties to their portfolios (317 buys vs. 31 sells). This follows a similar trend from 2024, which saw a net gain of 233 properties (261 buys vs. 28 sells).

This behavior indicates strong investor confidence in the future of the Stark County housing market and a clear strategy of long-term holding over short-term flipping.

Even the small contingent of institutional investors (1000+ tier) has historically been in an acquisition mode. In 2024, they were net buyers, purchasing 5 properties while selling 4, contributing to the overall growth trend.

The high volume of acquisitions relative to sales suggests a tight supply of rental properties and a market where landlords are more inclined to expand their portfolios than to divest assets.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 30.0% of all Q4 2025 real estate transactions.
Detailed Findings

Landlords played a crucial role in market liquidity during Q4 2025, participating in 62 of the 207 total transactions, which translates to a 30.0% market share.

Purchasing activity was dominated by mom-and-pop investors (Tiers 01-04), who were responsible for 52 of the 62 landlord transactions. In contrast, institutional investors (Tier 09) conducted only 3 transactions.

A dramatic divergence in purchasing strategy is evident in the prices paid by different tiers. New, single-property landlords paid the highest average price at $343,867. Conversely, institutional investors paid the lowest at just $96,000 per property, a staggering 72.1% less. This suggests institutions are targeting a completely different asset class, likely distressed or lower-value properties.

The source of acquisitions also differs by tier. Institutional buyers relied on the existing investor network for a third of their purchases, with 33.3% of their acquisitions coming from other landlords. New investors, however, sourced almost entirely from the open market, with only 4.3% of their purchases being from other landlords.

This reveals a two-tiered market: new individual investors competing for market-rate properties, and larger, more established investors leveraging networks to acquire lower-cost assets from fellow landlords.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Mom-and-Pop Landlords Dominate Stark County's Investor Market with 91.3% Ownership and Active Buying
Holdings
Landlords own 1,776 SFR properties in Stark County, representing 19.7% of the total market. Individual investors overwhelmingly dominate, holding 1,542 of these properties (86.8%) compared to just 284 (16.0%) for companies.
Pricing
Landlords paid 11.3% less than traditional homeowners in Q4 2025, securing an average discount of $40,801 per property ($319,148 vs $359,949).
Activity
In Q4 2025, landlords purchased 42 properties, accounting for 31.8% of all sales. This activity was heavily driven by new entrants, with 46 single-property landlord entities entering the market.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control a commanding 91.3% of all investor-owned housing, while large institutional investors (1000+) own a mere 0.3%.
Ownership Type
Individual investors form the backbone of the market, but companies become the majority owners in the 6-10 property tier (72.5% share) and the 11-20 property tier (85.7% share).
Transactions
Landlords are aggressive net buyers with a 6.9x buy/sell ratio in Q4 (62 buys vs 9 sells), consistently expanding their portfolios year-over-year.
Market Narrative

The single-family rental market in Stark County, North Dakota, is overwhelmingly defined by small, local investors. Landlords own 1,776 properties, a significant 19.7% of the county's SFR housing stock. This landscape is dominated not by corporations, but by individuals, who own 86.8% of these homes. The market structure is highly fragmented: 'mom-and-pop' landlords with 1-10 properties control a staggering 91.3% of all investor-owned housing. In stark contrast, institutional investors with over 1,000 properties have a negligible footprint, owning just 0.3% of the portfolio, decisively countering the narrative of Wall Street dominance in this region.

Investor behavior in Stark County is characterized by strategic acquisition and long-term accumulation. In the last quarter, landlords were highly active, purchasing 31.8% of all homes sold and demonstrating strong confidence in the market. They consistently secure properties at a discount, paying 11.3% less than traditional homeowners in Q4. Transaction data reveals investors are aggressive net buyers, acquiring nearly seven properties for every one they sold in Q4, a trend that has held steady for the past two years. This activity is fueled by new entrants, with 46 new single-property landlords joining the market in the last quarter alone.

The key takeaway is that the Stark County rental market is a robust, grassroots ecosystem powered by individual capital and local expertise. The high concentration of ownership in specific zip codes, with some exceeding 60% investor penetration, points to highly targeted investment strategies. The market's health is driven by the continuous entry of new, small-scale landlords and the consistent portfolio growth of existing ones. This decentralized ownership model suggests a resilient rental market that is more responsive to local economic conditions than to national corporate directives, providing a stable, if concentrated, supply of rental housing for the community.

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 19, 2026 at 02:45 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyStark (ND)
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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