Dakota (NE) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Dakota (NE)
4,590
Total Investors in Dakota (NE)
1,156
Investor Owned SFR in Dakota (NE)
985(21.5%)
Individual Landlords
Landlords
1,064
SFR Owned
828
Corporate Landlords
Landlords
92
SFR Owned
162
Understanding Property Counts

Distinct Count Methodology: The total 985 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 Dakota County, Acquiring Properties at a 62.7% Discount
Investors own 985 single-family properties in Dakota County, representing 21.5% of the market. This ownership is overwhelmingly controlled by mom-and-pop landlords (93.8%), with individual investors comprising 84.1% of all holdings. In Q1 2026, landlords purchased 19.0% of homes sold, paying an average of $113,646, a steep 62.7% discount compared to traditional homeowners.
Landlord Owned Current Holdings
Investors own 985 SFR properties, with individual landlords holding 84.1% of the portfolio.
The vast majority of investor-owned properties, 98.1% (966 properties), are designated as rentals. Cash purchases significantly outweigh financing, with 684 properties owned outright compared to 301 that are financed.
Landlord vs Traditional Homeowners
Landlords acquired properties for 62.7% less than homeowners in Q1 2026, a $190,764 discount.
The price gap between landlords and homeowners has widened dramatically from previous quarters; in Q1 2025, landlords actually paid a 19.4% premium. The current quarter's average landlord purchase price was $113,646 versus the homeowner average of $304,410.
Current Quarter Purchases
Landlords purchased 19.0% of all single-family homes sold in the most recent quarter.
Mom-and-pop landlords (1-10 properties) accounted for 25.0% of investor purchases. No institutional investors (1,000+ properties) made acquisitions this quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 93.8% of investor-owned SFRs.
Single-property landlords alone account for 76.4% of all investor-owned housing in Dakota County. In contrast, institutional investors with over 1,000 properties have zero presence in the market.
Ownership by Tier & Type
Companies become the majority property owners starting at the 6-10 property tier.
Individuals dominate smaller portfolios, owning 93.6% of single-property holdings. However, in the 6-10 property tier, companies own 72.3% of the properties, marking a clear strategic crossover point.
Geographic Distribution
Investor activity is highly concentrated, with 55.2% of all landlord-owned homes located in a single zip code: 68776.
While 68776 has the highest count of investor properties (544), other zip codes have higher saturation rates. The 68743 zip code leads with a 53.5% investor ownership rate, followed by 68030 at 45.7%.
Historical Transactions
Landlords in Dakota County are active net buyers, acquiring two properties for every one they sold in Q1 2026.
This net buyer trend is consistent over time, with landlords purchasing 20 properties while selling 9 in 2025, and acquiring 30 while selling 8 in 2024. There is no transaction activity from institutional investors.
Current Quarter Transactions
Landlords were involved in 14.3% of all single-family property transactions in Q1 2026.
A significant price disparity exists between investor tiers, with new single-property landlords paying $230,000 on average, while mid-size investors paid just $74,861. All landlord purchases this quarter came from non-landlord sellers.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 985 SFR properties, with individual landlords holding 84.1% of the portfolio.
Detailed Findings

Investors hold a significant 21.5% of the single-family residential market in Dakota County, with a portfolio of 985 properties. This indicates a strong presence of real estate investing activity relative to the total market size of 4,590 SFR properties.

Ownership is heavily skewed towards individuals over corporate entities. Individual investors own 828 properties, accounting for 84.1% of the landlord portfolio, while companies own the remaining 162 properties (16.4%).

The landlord entity count further highlights this individual dominance. There are 1,064 individual landlords compared to just 92 company landlords, a ratio of more than 11 to 1.

Investor activity is clearly focused on generating rental income, as 966 of the 985 properties (98.1%) are classified as rented. This high concentration underscores the rental-centric strategy of landlords in the area.

Cash is the preferred method for acquisitions in Dakota County. Investors own more than twice as many properties with cash (684) as they do with financing (301), signaling a well-capitalized investor base that can move quickly on opportunities.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired properties for 62.7% less than homeowners in Q1 2026, a $190,764 discount.
Detailed Findings

In Q1 2026, investors in Dakota County achieved a staggering 62.7% price discount compared to traditional homeowners. Landlords paid an average of $113,646 per property, while homeowners paid $304,410, a difference of $190,764.

This massive discount marks a sharp reversal from prior trends. In Q2 2025, the discount was a modest 5.5% ($15,615), and in Q1 2025, landlords paid a 19.4% premium over homeowners, spending $45,310 more on average per property.

The shift suggests that in the current quarter, investors are successfully targeting distressed assets or off-market deals that are unavailable or unattractive to traditional buyers. This could signal a change in market conditions or investor strategy.

Historical pricing data shows a steady increase in acquisition costs leading up to the recent quarter. The average price during the 2020-2023 period was $153,919, which rose to $292,346 for the full year of 2025 before the sharp drop in Q1 2026.

The very low transaction volume in recent quarters means these averages are based on a small sample size, but the trend reversal is nonetheless dramatic and indicates a significant shift in the types of properties being acquired by investors.

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 purchased 19.0% of all single-family homes sold in the most recent quarter.
Detailed Findings

Investor activity constituted a significant portion of the market in the last quarter, with landlords acquiring 4 of the 21 total SFR properties sold, a market share of 19.0%.

Mid-size investors were the most active buyers. Landlords in the 21-50 property tier purchased 3 properties, making up 75.0% of all investor acquisitions for the period.

Mom-and-pop investors also contributed to the activity, with a new single-property landlord entering the market by purchasing one home, representing 25.0% of the quarter's investor-led acquisitions.

The data confirms a complete absence of institutional buying activity. Investors in the 1,000+ property tier made zero purchases, reinforcing that the Dakota County market is driven entirely by smaller, local operators.

Overall, the 4 properties acquired by landlords were split between just two tiers, showing a concentration of buying power among small-to-mid-size investors this quarter.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 93.8% of investor-owned SFRs.
Detailed Findings

The investor landscape in Dakota County is unequivocally dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, collectively hold 93.8% of all investor-owned single-family homes.

The most granular tier, single-property landlords, forms the bedrock of the market. This group alone owns 767 properties, which translates to 76.4% of the entire investor-owned SFR inventory.

The concentration at the small end of the scale is stark. The top four tiers (1, 2, 3-5, and 6-10 properties) together account for 944 of the 985 investor-owned properties, leaving very little inventory for larger operators.

Mid-size landlords (11-100 properties) represent a small fraction of the market, owning a combined 61 properties or just 6.2% of the total.

There is no institutional investor footprint in Dakota County. The data shows 0.0% ownership for landlords in the 101-1000 and 1000+ property tiers, highlighting a market completely driven by smaller, private capital.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

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 majority property owners starting at the 6-10 property tier.
Detailed Findings

While individuals own the vast majority of investor properties overall (84.1%), ownership structure shifts decisively as portfolio sizes increase. The crossover point occurs in the 6-10 property tier, where companies own 34 properties, or 72.3% of the homes in that bracket.

Individual investors overwhelmingly dominate the entry level of the market. They own 720 of the 767 single-property landlord-held homes (93.6%) and 53 of the 63 two-property landlord-held homes (81.5%).

The transition toward corporate ownership is gradual but clear. In the 3-5 property tier, individuals still hold a strong majority at 69.2%. This share drops to just 27.7% in the 6-10 property tier, where companies take control.

Even as portfolio sizes grow, individuals maintain a presence. In the 11-20 property tier, ownership is nearly evenly split, with individuals holding a slight 51.9% majority (14 properties) compared to companies at 48.1% (13 properties).

This pattern suggests that while most investors start as individuals, a strategy of professionalization and incorporation occurs for those who scale their portfolios beyond five properties.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with 55.2% of all landlord-owned homes located in a single zip code: 68776.
Detailed Findings

Geographic concentration is a defining feature of the Dakota County investor market. A single zip code, 68776, contains 544 investor-owned properties, accounting for 55.2% of the county's entire investor portfolio.

The top five zip codes by property count hold 959 properties, representing 97.4% of all investor holdings in the county, indicating that activity is confined to a few key areas.

There is a distinct difference between areas with high property counts and those with high ownership rates. While 68776 has the most properties, its investor ownership rate is a modest 15.6%. In contrast, the zip code 68743 has the highest saturation, with 53.5% of its homes owned by investors, despite having only 53 such properties. Such high-penetration areas can be identified using a detailed property search tool.

High investor penetration is common in several smaller zip codes. Four of the top five zip codes by ownership rate have investor saturation above 34%, including 68030 (45.7%), 68731 (38.0%), and 68733 (34.3%).

This analysis reveals a dual market structure: one large, moderately penetrated core market (68776) and several smaller, highly saturated sub-markets where investors own a third or more of the local housing stock.

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
Key Insight
Landlords in Dakota County are active net buyers, acquiring two properties for every one they sold in Q1 2026.
Detailed Findings

Investors in Dakota County are consistently expanding their portfolios, acting as strong net buyers. In Q1 2026, they purchased 4 properties and sold only 2, demonstrating continued accumulation of assets.

The pattern of net buying has been robust over the past several years. During 2025, landlords maintained a buy-to-sell ratio of over 2.2-to-1 (20 buys vs. 9 sells). This ratio was even stronger in 2024, at 3.75-to-1 (30 buys vs. 8 sells).

Transactional momentum has slowed recently, with only 6 total landlord transactions (4 buys, 2 sells) in Q1 2026, compared to 29 in 2025 and 38 in 2024. This reflects a broader market cooldown but has not altered the net accumulation strategy.

The institutional tier (1,000+ properties) recorded zero buy or sell transactions in any observed period. This confirms that all market dynamics are driven by the buying and selling behavior of smaller, non-institutional landlords.

This consistent net buying behavior indicates strong long-term confidence among local investors in the Dakota County single-family rental market.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 14.3% of all single-family property transactions in Q1 2026.
Detailed Findings

In Q1 2026, landlords participated in 4 of the 28 total SFR transactions in Dakota County, capturing a 14.3% share of market activity.

A striking price gap emerged between different types of investors this quarter. The new single-property landlord paid $230,000 for their acquisition, a price point much closer to the traditional homeowner average. In contrast, the more experienced mid-size investor (21-50 property tier) acquired 3 properties at an average price of just $74,861.

This price difference of $155,139 suggests that larger, more established investors have access to different deal funnels, likely focusing on distressed or off-market properties that require significant capital or expertise, while new entrants compete for on-market properties.

There was no inter-landlord trading this quarter. All 4 properties acquired by investors were purchased from non-landlord owners, indicating that new inventory is being converted into rental stock rather than being exchanged between existing operators.

The transaction activity was split between two tiers: one purchase by a Tier 01 landlord and three by Tier 06 investors, with no activity from any other investor segment.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Individual landlords dominate Dakota County with 84.1% ownership, securing properties at a 62.7% discount to homeowners
Holdings
Landlords own 985 SFR properties, representing 21.5% of Dakota County's market. Individual investors hold a commanding 84.1% of these properties (828), while companies own the remaining 15.9% (162).
Pricing
Landlords paid 62.7% less than homeowners in Q1 2026, securing an average discount of $190,764 per property ($113,646 vs. $304,410). This marks a sharp reversal from the prior year when investors sometimes paid a premium.
Activity
In Q1 2026, landlords purchased 19.0% of all SFRs sold (4 properties), with one new single-property landlord entering the market. Mid-size investors were the most active, acquiring 75.0% of investor-purchased homes.
Market Share
Small mom-and-pop landlords (1-10 properties) control 93.8% of all investor-owned housing in the county. In stark contrast, institutional investors (1,000+ properties) have zero ownership stake.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 6-10 properties, controlling 72.3% of the homes in that tier.
Transactions
Landlords remain net buyers with a 2.0x buy-to-sell ratio in Q1 2026 (4 buys vs 2 sells), continuing a multi-year trend of portfolio expansion. There was no institutional transaction activity.
Market Narrative

The single-family rental market in Dakota County, Nebraska is fundamentally shaped by small, private investors. Landlords own 985 properties, a notable 21.5% of the total SFR housing stock. This portfolio is overwhelmingly controlled by individuals, who own 84.1% of these homes, compared to just 15.9% for companies. The market structure detailed in this investor pulse report defies the narrative of corporate consolidation, with mom-and-pop landlords (1-10 properties) commanding a 93.8% ownership share, while large institutional investors have no presence at all.

Investor behavior in Q1 2026 highlights a strategy of disciplined, value-oriented acquisitions. Landlords captured 19.0% of all home purchases while securing a remarkable 62.7% discount compared to traditional homeowners, paying just $113,646 on average. This deep discount, coupled with a consistent net-buyer position (a 2.0x buy-to-sell ratio in Q1), demonstrates that local investors are effectively expanding their portfolios with financially advantageous properties, likely sourced from off-market channels. Activity is led by existing mid-size investors, who paid significantly less ($74,861) than new market entrants ($230,000).

The key takeaway is that the Dakota County investment landscape is mature, localized, and efficient. It is dominated by experienced private investors who are expanding their holdings by acquiring properties far below the typical consumer market rate. With no institutional competition and a clear preference for cash purchases, these small-to-mid-size operators are poised to continue shaping the local rental market. The high concentration in specific zip codes, where investors own up to 53.5% of homes, points to targeted strategies that have created pockets of significant rental density.

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 21, 2026 at 11:20 PM
Data Period Q1 2026
Geography Level County
Geography Dakota (NE)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Dakota (NE) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ne-dakota/. Licensed under CC BY-NC-ND 4.0.