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

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

Market Overview

Total SFR Properties in Sioux (ND)
56
Total Investors in Sioux (ND)
20
Investor Owned SFR in Sioux (ND)
18(32.1%)
Individual Landlords
Landlords
17
SFR Owned
15
Corporate Landlords
Landlords
3
SFR Owned
3
Understanding Property Counts

Distinct Count Methodology: The total 18 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

Sioux County's investor market is defined by high small-investor penetration (32.1%) but zero recent activity.
Investors own a significant 32.1% of the SFR market in Sioux County, ND, a portfolio completely controlled by mom-and-pop landlords (100%). Despite this high ownership rate, the market was dormant in Q4 2025, with zero landlord purchases and no recorded transactions, indicating a static buy-and-hold environment dominated by individual, cash-based investors.
Landlord Owned Current Holdings
Investors own 18 SFRs, a 32.1% share of the Sioux County market, with individuals holding 83.3%.
The portfolio is overwhelmingly cash-based, with 17 of 18 properties owned outright without financing. All 18 properties are identified as non-owner-occupied rentals, indicating a purely investment-focused portfolio.
Landlord vs Traditional Homeowners
No landlord acquisitions occurred in recent quarters, making price trend analysis unavailable for Sioux County.
Historical data points for 2025-Q3 ($1,021,400) and 2025-Q2 ($18,000) are based on zero transactions, highlighting the market's data sparseness. A reliable price comparison to traditional homeowners is not possible due to the lack of sales.
Current Quarter Purchases
The investor market was completely inactive in Q4 2025, with zero properties purchased by landlords.
This lack of activity resulted in a 0.0% market share for landlords. All investor tiers, from mom-and-pop to institutional, recorded zero acquisitions, and no new single-property landlords entered the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) constitute 100% of the investor market in Sioux County.
Single-property landlords are the backbone of the market, owning 17 of the 18 investor-held homes (94.4%). There is zero institutional (1000+ property) ownership in the county.
Ownership by Tier & Type
Individuals own property in every active tier and represent 100% of multi-property portfolios.
Companies own only 3 properties (17.6% of the portfolio), all within the single-property tier. The market's largest portfolio (two properties) is owned by an individual, meaning there is no crossover point where companies become dominant.
Geographic Distribution
Investor activity is concentrated in the 58568 zip code, which contains 10 investor-owned homes.
The highest investor penetration rate is in the 58528 zip code, where 2 of 2 total SFRs (100.0%) are investor-owned. The 58568 zip code also shows a high concentration at a 40.0% ownership rate.
Historical Transactions
No historical buy or sell transactions were recorded for landlords, signaling an extremely illiquid market.
The absence of transaction data makes it impossible to determine a net buyer/seller status or calculate buy/sell ratios. There is no recorded evidence of any landlord-to-landlord trading activity.
Current Quarter Transactions
Landlords had a 0.0% share of market transactions in Q4 2025, as no sales occurred in the county.
All investor tiers, from single-property to institutional, recorded zero transactions. Consequently, there was no inter-landlord trading activity, and no price comparisons by tier are possible.

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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 18 SFRs, a 32.1% share of the Sioux County market, with individuals holding 83.3%.
Detailed Findings

Investors hold a significant stake in Sioux County's housing market, owning 18 single-family residential properties, which constitutes 32.1% of the total 56 SFRs in the area.

The market is dominated by individual investors, who own 15 of the 18 properties (83.3%), compared to just 3 properties (16.7%) held by companies. This structure underscores a market driven by local, small-scale participants rather than corporate entities.

A strong preference for all-cash holdings is evident, with 17 of the 18 properties (94.4%) owned outright. Only a single investor-owned property is financed, signaling that leverage is not a common strategy in this market.

The entire investor portfolio of 18 properties is classified as non-owner-occupied, confirming their use as rental units and highlighting the role of these investors as local housing providers.

The ownership base consists of 20 distinct landlords (17 individuals and 3 companies) for 18 properties. This suggests that some properties are co-owned, reinforcing the small-scale, collaborative nature of local real estate investment.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
No landlord acquisitions occurred in recent quarters, making price trend analysis unavailable for Sioux County.
Detailed Findings

The most critical finding regarding acquisition pricing in Sioux County is the complete absence of landlord purchase activity in recent timeframes, including Q3 2025, Q2 2025, and Q4 2024.

Due to zero transactions, any reported average acquisition prices, such as $1,021,400 in Q3 2025, are artifacts of data aggregation and do not reflect actual market sales during those periods. This points to a highly illiquid market where properties trade infrequently.

Without active sales, it is impossible to conduct a meaningful price trend analysis or to assess price appreciation from the pandemic era (2020-2023) to the present.

Similarly, the lack of concurrent sales data for both landlords and traditional homeowners prevents any comparison of purchasing power or the calculation of a potential landlord discount.

The data demonstrates that Sioux County is a thinly traded market where establishing consistent pricing benchmarks is challenging, a characteristic typical of rural or low-volume real estate environments.

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

Key Insight
The investor market was completely inactive in Q4 2025, with zero properties purchased by landlords.
Detailed Findings

In Q4 2025, the real estate investor market in Sioux County came to a complete standstill, with landlords acquiring zero new properties. This reflects a total of zero SFR purchases across the entire county for the quarter.

As a result of this inactivity, landlords captured 0.0% of the market's purchase volume, a clear indicator of a dormant period for both investment and general real estate sales.

The purchasing halt was universal across all investor sizes. Mom-and-pop landlords (Tiers 01-04) made zero purchases, and there was no activity from institutional investors, who have no presence in the county.

The lack of acquisitions in the single-property tier signifies that no new landlords entered the Sioux County market during Q4 2025, pausing any potential growth in the investor base.

This period of dormancy contrasts with the existing investor-owned portfolio of 18 properties, suggesting the market is characterized by long-term holds rather than frequent trading.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) constitute 100% of the investor market in Sioux County.
Detailed Findings

The investor landscape in Sioux County is exclusively composed of mom-and-pop landlords (portfolios of 1-10 properties), who control 100% of the 18 investor-owned SFRs.

Market ownership is heavily concentrated in the smallest possible tier, with single-property landlords (Tier 01) owning 17 properties, which accounts for 94.4% of the entire investor portfolio.

The remaining 5.6% of the market consists of a single property held by one two-property landlord (Tier 02), further highlighting the ultra-small-scale nature of investment in the area.

There is a complete absence of mid-size (11-1,000 properties) and institutional (1,000+ properties) investors, demonstrating that this market is driven entirely by local, small-scale participants.

Due to the lack of transactions, no meaningful price analysis by tier is possible, but the ownership structure itself confirms that investment strategies are not dictated by large-scale capital.

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 own property in every active tier and represent 100% of multi-property portfolios.
Detailed Findings

Individual investors are the definitive force in Sioux County, owning 14 of the 17 single-property portfolios and the county's only two-property portfolio.

Corporate investment is minimal and confined to the entry level. The 3 properties owned by companies all exist within the single-property (Tier 01) category, representing just 17.6% of that tier's holdings.

The market structure shows no evidence of a 'crossover point' where companies overtake individuals in ownership. In fact, individual ownership becomes absolute (100%) in the largest active tier (two-property).

This pattern reveals a market where scale is achieved exclusively by individuals, not corporate entities, reinforcing the small-scale, personal nature of local real estate investment.

Given the absence of sales activity, it is not possible to compare acquisition prices between individual and company investors within any tier.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in the 58568 zip code, which contains 10 investor-owned homes.
Detailed Findings

Investor ownership in Sioux County is not evenly distributed but concentrated in specific zip codes. The 58568 zip code is the primary hub, home to 10 of the 18 investor-owned properties.

While 58568 leads by sheer volume, the 58528 zip code exhibits the highest possible investor saturation, with 100.0% of its 2 SFR properties being investor-owned.

The top three zip codes by property count (58568, 58538, and 58570) collectively hold 16 of the 18 investor properties (88.9%), demonstrating significant geographic clustering.

High investor ownership rates are a key feature, with 58568 at 40.0% and 58538 at 27.3%, both well above the national average and indicating that rentals are a major component of the housing stock in these communities.

This hyper-local concentration reveals that investment is targeted at specific community pockets rather than being spread broadly across the county.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Key Insight
No historical buy or sell transactions were recorded for landlords, signaling an extremely illiquid market.
Detailed Findings

The historical transaction log for Sioux County landlords is empty, indicating a market with extremely low or untracked liquidity. This suggests that investors who own property here tend to hold it for the long term.

Without any recorded buy or sell transactions, it is impossible to determine whether landlords have been net buyers or net sellers over time. The data points to a static, rather than a dynamic, market.

Analysis of potential profit margins is not feasible, as there are no corresponding buy and sell prices to compare.

The concept of inter-landlord trading, where investors buy from or sell to each other, is not observed in the available data. This suggests a lack of a formalized investor network or market churn.

This absence of historical activity is consistent for all investor types, including the non-existent institutional tier, reinforcing the picture of a quiet, buy-and-hold environment.

Current Quarter Transactions

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

Key Insight
Landlords had a 0.0% share of market transactions in Q4 2025, as no sales occurred in the county.
Detailed Findings

The fourth quarter of 2025 was marked by a complete lack of transactions in Sioux County, with zero total SFRs changing hands. Consequently, landlords' share of transactions was 0.0%.

This inactivity was consistent across the entire investor spectrum. Transaction volume was zero for single-property landlords (Tier 01) and all other mom-and-pop tiers.

Pricing analysis by tier is impossible due to the absence of sales. The average purchase price for every tier was effectively $0, reflecting the market standstill.

With no purchases taking place, there was no opportunity for inter-landlord trading. The percentage of properties bought from other landlords was 0.0% for all tiers.

This Q4 data powerfully illustrates a market defined by its existing ownership structure rather than active trading, contrasting the significant 32.1% investor ownership rate with zero transactional momentum.

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Executive Summary

Small Investors Dominate Sioux County with 32.1% Market Share Amidst a Dormant Transaction Market
Holdings
Landlords own 18 SFR properties in Sioux County, ND, representing a significant 32.1% of the market's 56 total SFRs. Individual investors hold a commanding 83.3% of this portfolio (15 properties), with companies owning the remaining 16.7% (3 properties).
Pricing
A complete lack of recent landlord or homeowner sales activity makes current pricing trends and direct comparisons unavailable, pointing to an exceptionally illiquid market where transactions are too infrequent to establish reliable benchmarks.
Activity
The investor market was completely dormant in Q4 2025, with landlords purchasing zero properties and accounting for 0.0% of all sales. No new landlords entered the market, and all investor tiers reported zero acquisitions.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control 100% of the investor-owned housing in Sioux County. Single-property owners alone account for a dominant 94.4% of the portfolio (17 properties), with zero institutional presence.
Ownership Type
Individual investors are the definitive force in the market, owning 83.3% of properties and exclusively controlling all multi-property portfolios. Companies have a minimal presence, owning only 3 single-property rentals.
Transactions
With no recorded sales in Q4 2025 and no available historical data, landlords exhibit a net neutral position born from total market inactivity. There is no evidence of buying, selling, or inter-landlord trading.
Market Narrative

The real estate investor market in Sioux County, ND, is a study in contrasts, defined by high penetration and low activity. Investors own 18 single-family homes, a substantial 32.1% of the county's total SFR stock. This market is exclusively controlled by small-scale participants, with 'mom-and-pop' landlords (1-10 properties) owning 100% of the portfolio. Ownership is further concentrated among individuals, who hold 15 of the 18 properties (83.3%), while single-property landlords alone account for a staggering 94.4% of all investor-owned housing.

Investor behavior is characterized by a long-term, buy-and-hold strategy, financed predominantly by cash. In a striking display of market illiquidity, there were zero investor purchases and zero total SFR transactions in Q4 2025. This lack of sales activity makes it impossible to analyze pricing trends or compare investor purchasing power against homeowners. The data suggests a static environment where properties rarely change hands, and the investor base remains stable rather than expansive.

The key takeaway for Sioux County is that its rental housing market is provided by a small, stable group of local, individual investors who own their properties outright. The narrative of large, corporate landlords is non-existent here. Instead, the market dynamics are dictated by hyper-local concentration in specific zip codes and a near-total absence of the transactional churn seen in larger, more liquid markets. This signifies a mature, settled investment landscape rather than one focused on growth or speculation.

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 02:42 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographySioux (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 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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