Taylor (IA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Taylor (IA)
1,896
Total Investors in Taylor (IA)
277
Investor Owned SFR in Taylor (IA)
250(13.2%)
Individual Landlords
Landlords
230
SFR Owned
193
Corporate Landlords
Landlords
47
SFR Owned
61
Understanding Property Counts

Distinct Count Methodology: The total 250 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 Taylor County, buying properties at a 45% discount with zero institutional competition.
Investors own 13.2% of the market in Taylor County, with individuals controlling 77.2% of those properties. In Q1 2026, landlords secured a massive 45.2% discount compared to homeowners and acted as strong net buyers, acquiring 8 properties while only selling 2.
Landlord Owned Current Holdings
Investors own 250 SFR properties in Taylor County, with individuals holding a 77.2% majority.
Cash is the preferred acquisition method, with 208 properties owned outright versus only 42 being financed. The rental market is robust, with 242 of the 250 investor-owned properties identified as rented.
Landlord vs Traditional Homeowners
Landlords acquired properties for 45.2% less than homeowners in Q1 2026, a discount of $71,686.
This significant price gap represents a widening trend from Q1 2025, when the discount was only 7.5% ($6,857). Landlord acquisition prices have seen a slight recovery from the 2020-2023 average of $63,817 to $86,857 in the latest quarter.
Current Quarter Purchases
Landlords purchased 27.8% of all SFR properties sold in the last quarter, a total of 5 homes.
Mom-and-pop investors were responsible for 100% of this activity, with zero purchases made by institutional-scale landlords. The most active tier was 'Two-property' landlords, who acquired 3 of the 5 properties.
Ownership by Tier
Mom-and-pop landlords completely dominate Taylor County, controlling 97.6% of all investor-owned SFRs.
Single-property landlords alone make up the largest segment, owning 185 properties, which is 72.5% of the investor-held market. Institutional investors (1,000+ properties) have zero presence, owning 0.0% of the market.
Ownership by Tier & Type
Companies become the dominant owner type in the 6-10 property tier, holding 78.6% of homes.
This is a sharp reversal from smaller tiers, where individuals are the majority, such as the single-property tier where they own 84.0%. Individuals own 158 single properties, while companies own just 30.
Geographic Distribution
The 50833 zip code contains the highest number of investor properties at 86.
However, the highest concentration of investors is in the 50857 zip code, where 28.6% of homes are investor-owned. The 50848 zip code also shows a high density, with a 26.7% investor ownership rate.
Historical Transactions
Investors in Taylor County are aggressive net buyers, acquiring 8 properties and selling only 2 in Q1 2026.
This trend of accumulation is consistent, with a net gain of 26 properties in 2025 (29 buys vs. 3 sells). There is no recorded transaction data for institutional investors, highlighting their absence from the market.
Current Quarter Transactions
Landlord transactions accounted for 30.8% of all market activity in the first quarter, with 8 total transactions.
All 8 of these transactions were conducted by mom-and-pop landlords. Notably, 0% of these purchases were from other landlords, meaning all acquisitions came from the non-investor market.

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 250 SFR properties in Taylor County, with individuals holding a 77.2% majority.
Detailed Findings

In Taylor County, investors hold 250 Single-Family Residential (SFR) properties, representing 13.2% of the total 1,896 SFRs. This indicates a significant, yet not dominant, investor presence in the local housing market.

Ownership is heavily skewed towards individuals, who own 193 properties (77.2%), compared to the 61 properties (24.4%) owned by companies. This structure, with 230 individual landlords versus 47 company landlords, points to a market characterized by small, local operators rather than large-scale corporate entities.

The financial profile of these investors reveals a strong preference for cash transactions. A substantial 208 properties (83.2%) in investor portfolios were acquired with cash, while only 42 (16.8%) are financed. This suggests investors in this market have high liquidity and may not be reliant on traditional lending.

The portfolio usage is overwhelmingly focused on rentals. Of the 250 investor-owned homes, 242 are rented, underscoring the primary strategy of generating rental income in this geography. This high rental concentration is a key feature of the local real estate investing landscape.

Comparing owner types, both individuals and companies demonstrate a heavy focus on rental properties, indicating a shared business model across the board. The higher number of properties owned by individuals reinforces the 'mom-and-pop' character of the Taylor County rental market.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords acquired properties for 45.2% less than homeowners in Q1 2026, a discount of $71,686.
Detailed Findings

Investors in Taylor County consistently acquire properties at a substantial discount compared to traditional homeowners. In Q1 2026, landlords paid an average of $86,857, which is 45.2% less than the $158,543 paid by homeowners, representing a staggering $71,686 price advantage per transaction.

The price gap between landlords and homeowners has widened dramatically over the past year. The Q1 2026 discount of 45.2% is a sharp increase from the 35.2% gap in Q3 2025 and significantly larger than the modest 7.5% discount observed in Q1 2025, indicating a growing ability for investors to secure favorable deals.

While recent transaction volume is low, historical pricing data shows a clear upward trend. The average acquisition price of $86,857 in Q1 2026 is a significant increase from the 2020-2023 pandemic-era average of $63,817, signaling notable price appreciation in the assets targeted by investors.

The consistent ability of landlords to pay far below the typical homeowner price suggests a strategy focused on off-market deals, distressed properties, or other acquisitions not available to the general public. This pattern highlights a distinct operational advantage for investors in the local market.

The quarterly data shows some volatility, with prices fluctuating between $85,000 and $119,714 over the last year. However, the consistent theme is the deep discount investors achieve relative to the broader market, a key driver of their investment strategy in Taylor County.

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 27.8% of all SFR properties sold in the last quarter, a total of 5 homes.
Detailed Findings

In the fourth quarter of 2025, landlords demonstrated significant market activity, purchasing 5 of the 18 total SFRs sold in Taylor County. This captures a notable 27.8% of all transactions, establishing investors as a key buyer segment in the market.

The entirety of this purchasing activity was driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) accounted for 100% of the 5 properties acquired by investors, with no activity recorded from mid-size or institutional players.

Activity was concentrated in the smallest portfolio tiers. Landlords expanding to their second property were the most active, acquiring 3 homes (60.0% of investor purchases). This highlights that growth in the market is happening at the entry-level of real estate investment.

The data reveals a complete absence of institutional capital in the acquisition market. With 0% of purchases attributed to the 1,000+ property tier, Taylor County's market dynamics are shaped exclusively by local and small-scale operators.

The purchasing behavior underscores a market of incremental growth, where existing small landlords are expanding their portfolios one or two properties at a time. This contrasts sharply with markets characterized by large-scale institutional acquisitions.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords completely dominate Taylor County, controlling 97.6% of all investor-owned SFRs.
Detailed Findings

The investor landscape in Taylor County is defined by the overwhelming dominance of small-scale landlords. Mom-and-pop investors, who own between 1 and 10 properties, control a staggering 97.6% of all investor-owned SFR housing stock.

The most significant group within this segment is the single-property landlord. This tier alone accounts for 185 properties, representing 72.5% of the entire investor portfolio in the county. This signifies that the market is highly fragmented and built upon a foundation of entry-level investors.

In stark contrast to national headlines, institutional investors (Tier 09, 1,000+ properties) have absolutely no footprint in Taylor County, with a 0.0% ownership share. The market is devoid of large-scale corporate landlord activity.

Mid-size landlords (11-1,000 properties) also have a negligible presence. Tiers holding 11-50 properties collectively own just 6 homes, or 2.4% of the investor market, reinforcing the area's character as a small-investor haven.

This distribution reveals a market insulated from the trends of institutional consolidation seen elsewhere. The investment ecosystem is entirely supported by local, small-portfolio individuals and companies, making it a distinct and highly localized market.

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 the 6-10 property tier, holding 78.6% of homes.
Detailed Findings

In Taylor County, a clear crossover point emerges where company ownership overtakes individual ownership as portfolios grow. While individuals dominate smaller tiers, companies hold a 78.6% majority share in the 6-10 property tier, controlling 11 of the 14 properties.

This pattern shows a strategic shift to a corporate structure as landlords scale their operations. For portfolios of 1-5 properties, individuals are the clear majority, owning 84.0% of single-property portfolios and 75.0% of 3-5 property portfolios.

The data suggests that as investment activity becomes more serious (beyond a few properties), operators prefer the legal and financial structure of a company. This transition happens decisively once a portfolio approaches half a dozen properties.

Even in the two-property tier, individuals maintain a strong 64.3% majority, indicating the initial stages of portfolio building are typically done under personal names. The move to formalize as a company appears to be a key step in an investor's growth trajectory in this market.

This tier-based analysis of property ownership by owner type provides a clear picture of how investment strategies mature in Taylor County, with incorporation marking a significant milestone for scaling landlords.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 50833 zip code contains the highest number of investor properties at 86.
Detailed Findings

Investor activity in Taylor County is concentrated in a few key zip codes. The 50833 area has the largest absolute number of investor-owned properties, with 86 homes, followed by 50851 with 68. These two zip codes alone account for over 60% of all investor properties in the county.

A different story emerges when looking at ownership rates. The 50857 zip code has the highest investor penetration, with 28.6% of its housing stock owned by investors. This is closely followed by 50848, where the rate is 26.7%, indicating these smaller areas are major hotspots for rental investment.

The distinction between high-count and high-percentage areas is crucial. While 50833 has the most investor properties (86), its ownership rate is a more modest 11.9%. Conversely, 50848 has fewer properties (31) but a much higher investor concentration (26.7%), suggesting a different market dynamic.

The top five zip codes by investor ownership rate are 50857 (28.6%), 50848 (26.7%), 50862 (25.0%), 50836 (16.3%), and 50851 (13.7%). These areas represent the core of investor focus within the county.

This geographic analysis reveals where investors are most active, allowing for a deeper understanding of sub-market trends. The patterns show that while some areas attract a large volume of investors, others have a much deeper saturation of rental properties relative to their size.

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
Investors in Taylor County are aggressive net buyers, acquiring 8 properties and selling only 2 in Q1 2026.
Detailed Findings

Landlords in Taylor County are firmly in an accumulation phase, consistently buying more properties than they sell. In the first quarter of 2026, they demonstrated a 4-to-1 buy-to-sell ratio, acquiring 8 properties while only divesting 2.

This behavior is not a recent anomaly but a sustained trend. For the full year of 2025, investors were even more aggressive, with a buy-to-sell ratio of nearly 10-to-1, purchasing 29 properties and selling just 3. This indicates strong, ongoing confidence in the local rental market.

The data from 2024, while showing a tighter margin, still positions landlords as net buyers with 6 acquisitions versus 5 sales. Across all recent timeframes, the pattern of portfolio growth remains unbroken.

Notably, there is no transaction activity to report for institutional-grade investors (1,000+ properties). All buying and selling is being conducted by the smaller mom-and-pop and mid-size segments, which shape the entirety of market liquidity.

This persistent net buying activity from smaller investors is a primary driver of the market, signaling a continuous transfer of housing stock from homeowners or other sellers into the rental pool managed by local operators.

Current Quarter Transactions

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

Key Insight
Landlord transactions accounted for 30.8% of all market activity in the first quarter, with 8 total transactions.
Detailed Findings

In Q1 2026, landlords were a significant force in the Taylor County market, participating in 8 of the 26 total SFR transactions. This gives them a 30.8% share of all transaction activity, highlighting their role in driving market liquidity.

The entirety of this activity was driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) accounted for 100% of the 8 investor transactions, with zero participation from larger institutional players.

An important finding is the source of these acquisitions. None of the properties purchased by investors in Q1 were bought from other landlords (0.0%). This indicates that investors are exclusively acquiring homes from the general public, such as traditional homeowners, rather than trading assets among themselves.

Pricing varied slightly across the active tiers. Landlords in the 'Two-property' tier paid an average of $88,000 for their 6 acquisitions, while the single transaction in the '6-10' property tier was priced at $80,000.

The transaction data for the quarter confirms the broader ownership trends: the market is moved by small, local investors who are expanding their portfolios by purchasing from the non-investor housing stock. There is no evidence of an internal, investor-to-investor market.

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

Mom-and-pop investors dominate Taylor County, acquiring properties at a 45% discount with zero institutional competition.
Holdings
Landlords own 250 SFR properties in Taylor County, 13.2% of the total market. Individual investors are the primary owners, holding 193 of these properties (77.2%) compared to companies with 61 (24.4%).
Pricing
In Q1 2026, landlords paid an average of $86,857, securing a massive 45.2% discount compared to the $158,543 paid by traditional homeowners, a price gap of $71,686 per property.
Activity
Investors purchased 27.8% of all homes sold in the last measured quarter, with 100% of that activity coming from mom-and-pop landlords. There were no purchases by institutional investors.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) have a near-total grip on the market, controlling 97.6% of all investor-owned housing. Institutional investors (1,000+ properties) have a 0.0% share.
Ownership Type
Individuals dominate smaller portfolios, but companies become the majority owners in the 6-10 property tier, where they control 78.6% of the properties. This marks the key transition point for scaling investors.
Transactions
Landlords are strong net buyers, with an 4x buy/sell ratio in Q1 2026 (8 buys vs 2 sells), a continuation of the strong accumulation seen in 2025. Institutional investors recorded zero transactions.
Market Narrative

The real estate investor market in Taylor County, Iowa, is a model of hyperlocal, small-scale activity. Investors own 250 single-family properties, constituting 13.2% of the county's total SFR housing stock. The market is overwhelmingly shaped by individuals, who own 193 (77.2%) of these homes, compared to just 61 (24.4%) held by companies. This dynamic is further reflected in the tier distribution, where 'mom-and-pop' landlords (1-10 properties) control a staggering 97.6% of investor-owned homes, while large-scale institutional investors have zero presence.

Investor behavior is characterized by savvy acquisitions and consistent portfolio growth. In the first quarter of 2026, landlords purchased properties at an average price of $86,857, a remarkable 45.2% discount compared to the $158,543 paid by traditional homeowners. This demonstrates a clear ability to source undervalued assets. Furthermore, investors are aggressive net buyers, acquiring four properties for every one they sold in Q1. This activity is exclusively driven by small landlords, who accounted for 100% of the investor purchases in the latest quarter, drawing their inventory from the general homeowner market rather than from other investors.

The key takeaway from this Investor Pulse report is that Taylor County is a market defined by, and for, the small landlord. The absence of institutional capital, combined with a strong preference for cash purchases and significant acquisition discounts, creates a stable and predictable environment. The market's health and growth are tied directly to the confidence and financial capacity of these local operators who continue to steadily expand their rental portfolios, shaping the local housing landscape one property at a time.

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 12:53 PM
Data Period Q1 2026
Geography Level County
Geography Taylor (IA)
×
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 Taylor (IA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ia-taylor/. Licensed under CC BY-NC-ND 4.0.