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

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

Market Overview

Total SFR Properties in Douglas (NE)
171,156
Total Investors in Douglas (NE)
20,205
Investor Owned SFR in Douglas (NE)
22,424(13.1%)
Individual Landlords
Landlords
16,863
SFR Owned
14,304
Corporate Landlords
Landlords
3,342
SFR Owned
8,361
Understanding Property Counts

Distinct Count Methodology: The total 22,424 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

Douglas County Investors Become Net Sellers as Mom-and-Pop Landlords Dominate 82.5% of Market
Investors own 22,424 SFR properties in Douglas County (13.1% of the market), with individual investors controlling 63.8% of the portfolio. While securing significant discounts of 19.5% against homeowners in Q1, landlords have shifted from net buyers in 2024 to net sellers in 2025 and 2026, a trend led by both small and institutional players.
Landlord Owned Current Holdings
Investors own 22,424 SFR properties in Douglas County, with individuals holding 63.8% of the portfolio.
Cash purchases heavily outweigh financing, with 16,209 properties owned outright compared to 6,215 financed. The vast majority of the portfolio, 21,440 properties, are classified as rented, confirming a strong focus on rental income.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 19.5% less than homeowners, securing an average discount of $69,369 per property.
The price gap between landlords and homeowners has been volatile, peaking at a 33.6% discount in Q3 2025 before settling at 19.5% in Q1 2026. The average landlord acquisition price in Q1 ($285,723) is significantly lower than the average for 2024 ($380,927), signaling a market cooldown.
Current Quarter Purchases
Landlords captured a small 4.1% share of Q4 2025 purchases, acquiring 50 of 1,212 properties sold.
Mom-and-pop landlords (1-10 properties) drove the vast majority of this activity, accounting for 84.3% of all investor purchases. In contrast, institutional investors (1000+ properties) made up only 2.0% of acquisitions, buying just a single property.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 82.5% of investor-owned SFRs in Douglas County.
Institutional investors (1000+ properties) have a minimal footprint, owning just 0.8% of the investor-held portfolio. Single-property landlords alone make up the largest segment, holding 58.4% of all investor-owned homes.
Ownership by Tier & Type
Companies become the dominant owner type in portfolios of 6 or more properties, holding 76.7% of that tier.
While individuals own 85.6% of single-property portfolios, companies control over 83% of portfolios in the 11-20 property range. The crossover from individual to company majority ownership happens in the 6-10 property tier.
Geographic Distribution
Investor activity is highly concentrated in specific zip codes, with 68111 leading at a 37.7% ownership rate.
Zip code 68111 contains 3,254 investor-owned properties, the highest count in the county. Following behind are 68104 with 2,361 properties (20.3% rate) and 68107 with 1,395 properties (18.1% rate), showing deep geographic pockets of investment.
Historical Transactions
Investors in Douglas County have become net sellers, a sharp reversal from being net buyers in 2024.
In Q1 2026, landlords sold 30 more properties than they bought (91 sells vs. 61 buys). This follows a full-year trend in 2025 where they sold a net 252 properties, contrasting with a net positive 101 properties purchased in 2024.
Current Quarter Transactions
Landlord transactions accounted for just 3.6% of market activity in Q1, with 61 transactions out of 1,695 total.
First-time investors paid the highest average price in Q1 at $253,759. In contrast, institutional investors paid 6.0% less, at $238,526, showcasing a pricing advantage for larger, more experienced buyers.

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 22,424 SFR properties in Douglas County, with individuals holding 63.8% of the portfolio.
Detailed Findings

In Douglas County, investors hold 22,424 Single-Family Residential (SFR) properties, which constitutes 13.1% of the total 171,156 SFRs in the market. This portfolio shows a clear dominance of individual investors over corporate entities in the local real estate investing landscape.

Individual landlords own 14,304 properties, accounting for 63.8% of the investor-owned market, while companies own the remaining 8,361 properties (37.3%). This trend extends to the entity level, where 16,863 of the 20,205 total landlords are individuals (83.5%).

A significant financial pattern emerges from the data: cash is the preferred method of ownership. Investors own 16,209 properties with cash, more than double the 6,215 properties that are financed. This indicates a well-capitalized investor base in the region.

The portfolio's purpose is overwhelmingly rental-focused. Of the 22,424 properties, 21,440 are categorized as rented, underscoring the primary strategy of generating rental income for Douglas County investors.

On average, company landlords hold larger portfolios (2.5 properties per entity) compared to individual landlords (0.85 properties per entity). This suggests that while individuals form the backbone of the market by count, companies operate with a slightly larger scale on a per-entity basis.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 19.5% less than homeowners, securing an average discount of $69,369 per property.
Detailed Findings

Investors in Douglas County consistently purchase properties at a significant discount compared to traditional homeowners. In the first quarter of 2026, landlords paid an average of $285,723, which is 19.5% or $69,369 less than the average homeowner price of $355,092.

This pricing advantage for investors has shown significant fluctuation. The discount widened dramatically to 33.6% ($125,060) in Q3 2025, contracted to 17.3% ($65,625) in Q2 2025, and was at its narrowest in Q1 2025 at just 6.4% ($22,823).

A notable cooling trend is evident in acquisition prices. The Q1 2026 average price of $285,723 represents a substantial drop from the 2024 average of $380,927, suggesting that investors are finding opportunities at lower price points in the current market.

Comparing recent activity to the post-pandemic boom, the 2020-2023 average acquisition price was $213,424. Prices rose sharply through 2024 and 2025 before the recent decline in Q1 2026, reflecting broader market cycles of appreciation and correction.

The data highlights the strategic advantage investors hold in negotiations or their focus on acquiring undervalued assets, allowing them to consistently enter the market below the prices paid by typical homebuyers.

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 captured a small 4.1% share of Q4 2025 purchases, acquiring 50 of 1,212 properties sold.
Detailed Findings

Investor purchasing activity in Douglas County was modest in Q4 2025, with landlords acquiring 50 of the 1,212 total SFRs sold, a market share of just 4.1%. This indicates that the vast majority of transactions involved other buyer types, such as traditional homeowners.

The quarter's activity was overwhelmingly dominated by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, were responsible for 43 of the 50 investor purchases, or 84.3% of the total.

New entrants form a significant part of the acquisition landscape. First-time or single-property investors (Tier 01) were the most active group, with 37 new entities purchasing 29 properties, representing 56.9% of all landlord acquisitions for the quarter.

In stark contrast, institutional investors (1,000+ properties) had a negligible presence, purchasing only one property. This accounts for just 2.0% of landlord buying activity, reinforcing that large corporations are not the primary drivers of acquisitions in this market.

Mid-size landlords also showed limited activity, with investors in the 11-1000 property tiers collectively purchasing only 7 properties, or 14.0% of the investor total. The data clearly shows the market's reliance on new and small landlords for acquisition volume.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 82.5% of investor-owned SFRs in Douglas County.
Detailed Findings

The ownership structure of investor-held real estate in Douglas County is firmly controlled by small-scale landlords. Mom-and-pop investors (owning 1-10 properties) collectively own 82.5% of the 22,424 investor properties, demonstrating a highly fragmented market.

The largest single segment consists of landlords who own just one property. This group (Tier 01) accounts for 13,383 properties, a remarkable 58.4% share of the entire investor portfolio, highlighting the importance of first-time investors to the rental housing supply.

Contrary to common narratives about corporate landlords, institutional investors (Tier 09, 1000+ properties) have a very small presence. They own just 190 properties, which translates to a mere 0.8% of the investor-owned market in the county.

Mid-size investors (11-1000 properties) bridge the gap but still represent a minority share. These tiers combined own 3,829 properties, or 16.7% of the total investor portfolio. The entire market structure is built upon a broad base of small landlords.

This distribution underscores that the local rental market is not concentrated in the hands of a few large entities but is instead supported by thousands of individual and small business owners. Analyzing these property datasets reveals the true composition of market ownership.

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 dominant owner type in portfolios of 6 or more properties, holding 76.7% of that tier.
Detailed Findings

A clear pattern emerges when examining ownership by portfolio size: individuals dominate small portfolios, while companies control larger ones. The tipping point occurs at the 6-10 property tier (Tier 04), where companies own 1,248 properties (76.7%) compared to individuals' 380 (23.3%).

For the smallest investors, individual ownership is the standard. In the single-property tier, individuals own 11,606 properties (85.6%), and in the two-property tier, they own 849 properties (63.8%).

As portfolio sizes increase, company ownership rapidly accelerates. In the 11-20 property tier, companies hold an 83.5% majority share, and this concentration grows to 91.4% in the 51-100 property tier. This suggests that investors incorporate as they scale their operations.

The 3-5 property tier represents a near-even split, with individuals owning a slight majority at 53.9% (1,384 properties) versus companies at 46.1% (1,185 properties). This tier acts as the transition zone before companies take decisive control.

This division highlights different strategies and legal structures investors use as they grow. Early-stage investing is characterized by personal ownership, while scaling beyond five properties appears to be strongly correlated with formal incorporation.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated in specific zip codes, with 68111 leading at a 37.7% ownership rate.
Detailed Findings

Investor ownership in Douglas County is not evenly distributed but is instead highly concentrated in a few key zip codes. The 68111 zip code stands out as the epicenter, where 3,254 investor-owned properties make up an astonishing 37.7% of the area's total SFR housing stock.

The concentration continues in nearby areas. Zip code 68104 has the second-highest count with 2,361 investor properties, representing a 20.3% ownership rate. Similarly, 68107 has 1,395 investor properties, an 18.1% rate.

This geographic clustering suggests that investors are targeting specific neighborhoods, likely driven by factors like rental demand, property values, and potential for appreciation. The top three zip codes alone account for a significant portion of the county's total investor portfolio.

Some zip codes, such as 68023 and 68028, show no investor-owned properties in the dataset, highlighting stark regional disparities in investment strategy. The provided assessor data indicates where investors are most and least active.

Understanding these hyper-local patterns is crucial for market analysis. The difference between a 37.7% investor ownership rate in one zip code and near-zero in another points to distinct sub-markets operating within the same county.

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
Chart Section11 Yoy Institutional
Key Insight
Investors in Douglas County have become net sellers, a sharp reversal from being net buyers in 2024.
Detailed Findings

A significant market shift has occurred among Douglas County landlords, who have transitioned from net buyers to net sellers. In Q1 2026, investors sold 91 properties while purchasing only 61, resulting in a net disposition of 30 properties.

This selling trend is not an anomaly but an acceleration of a pattern established in 2025. For the full year 2025, landlords sold 589 properties and bought 337, for a net reduction of 252 properties from their portfolios. This is a dramatic reversal from 2024, when they were net buyers of 101 properties.

Institutional investors (1,000+ properties) are also consistently divesting. In Q1 2026, they sold 3 properties while buying only 1. This continues their trend from 2025, where they were net sellers of 9 properties, and 2024, where they were net sellers of 13 properties.

The data points to a broader market sentiment shift. The aggressive acquisition seen in prior years has given way to profit-taking or portfolio consolidation across all investor sizes. This trend could signal a market peak or a strategic pivot in response to changing economic conditions.

This evolution from accumulation to disposition is a critical finding in recent Investor Pulse reports, suggesting a cooling period for investor demand in the Douglas County market.

Current Quarter Transactions

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

Key Insight
Landlord transactions accounted for just 3.6% of market activity in Q1, with 61 transactions out of 1,695 total.
Detailed Findings

In the first quarter of 2026, landlords played a minor role in Douglas County's overall transaction volume, participating in just 61 of the 1,695 total SFR transactions. This represents a small 3.6% share of the market's activity.

A clear pricing hierarchy emerged among different investor tiers. Single-property landlords paid the highest average price at $253,759 per property. This suggests new entrants may be paying a premium to secure their first investment property in a competitive environment.

In contrast, larger investors secured better pricing. The institutional (1000+) buyer acquired their property for $238,526, which is 6.0% less than what single-property investors paid. The large (101-1000) tier paid the least, averaging just $131,204 on their two transactions.

Intra-investor trading appears limited, especially for smaller buyers. Of the 37 transactions by single-property landlords, only 5 (13.5%) were purchased from another landlord. This indicates that most new investors are acquiring properties from homeowners or other sources.

The Q1 transaction data reinforces the theme of a market dominated by small investors, but it also reveals that these smaller players are paying more on average than their larger, more established counterparts.

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

Douglas County's small investors dominate 82.5% of the market but are now net sellers, signaling a market shift.
Holdings
Landlords own 22,424 SFR properties, representing 13.1% of the Douglas County market. Individual investors are the majority, holding 14,304 properties (63.8%) compared to 8,361 (37.3%) for companies.
Pricing
Investors demonstrated significant buying power in Q1 2026, paying an average of $285,723, which is 19.5% less than the $355,092 paid by traditional homeowners, a discount of $69,369.
Activity
Investor acquisition activity was low in Q4 2025, accounting for only 4.1% of all purchases (50 properties). The market saw the entry of 37 new single-property landlords during the period.
Market Share
Mom-and-pop landlords (1-10 properties) overwhelmingly control investor housing with an 82.5% share, while institutional investors (1000+) own a minimal 0.8% of the portfolio.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in the 6-10 property tier, controlling 76.7% of properties at that level and an even greater share in larger tiers.
Transactions
Investors have become net sellers in Douglas County, selling a net 30 properties in Q1 2026. This trend includes institutional investors, who were also net sellers of 2 properties in the same quarter.
Market Narrative

In Douglas County, the single-family rental market is fundamentally shaped by small, independent investors. Landlords own 22,424 properties, or 13.1% of the total market, with individuals comprising 63.8% of this ownership base. The market structure heavily favors mom-and-pop landlords (1-10 properties), who control a commanding 82.5% of investor-owned homes, dwarfing the minimal 0.8% share held by large institutional firms. This distribution challenges the narrative of corporate dominance and highlights a deeply fragmented ownership landscape, which can be explored in our market reports.

Despite their market control, investor behavior is shifting. In Q1 2026, landlords demonstrated significant pricing power, acquiring properties at a 19.5% discount compared to traditional homeowners. However, their acquisition volume has slowed considerably, capturing only 4.1% of Q4 2025 sales. More critically, investors have pivoted from being net buyers in 2024 to consistent net sellers throughout 2025 and into Q1 2026. This trend is consistent across all tiers, including institutional players, who are also divesting from the market.

This transition from accumulation to disposition signals a pivotal moment for the Douglas County housing market. The retreat of investors, who have been a key source of demand, could create opportunities for traditional homebuyers but may also indicate a belief that the market has peaked. The high concentration of investor activity in specific zip codes like 68111, where investors own 37.7% of SFRs, suggests these areas may be most impacted by this strategic shift. The dominant trend is clear: the small investors who built the local rental market are now leading the charge in selling.

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 11:22 PM
Data Period Q1 2026
Geography Level County
Geography Douglas (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 Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section11 Yoy Institutional
Chart Section11 Yoy Institutional
×
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 Douglas (NE) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ne-douglas/. Licensed under CC BY-NC-ND 4.0.