Thurston (WA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Thurston (WA)
83,111
Total Investors in Thurston (WA)
20,595
Investor Owned SFR in Thurston (WA)
15,860(19.1%)
Individual Landlords
Landlords
19,449
SFR Owned
13,674
Corporate Landlords
Landlords
1,146
SFR Owned
2,414
Understanding Property Counts

Distinct Count Methodology: The total 15,860 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

Small Landlords Expand in Thurston County as Institutional Investors Retreat
Investors own 15,860 single-family properties in Thurston County, representing 19.1% of the market. Small, 'mom-and-pop' landlords control a commanding 91.4% of this portfolio, while institutional investors are net sellers. In Q1 2026, landlords surprisingly paid a 3.8% premium over traditional homeowners, signaling aggressive acquisition strategies among smaller players.
Landlord Owned Current Holdings
Investors own 15,860 SFR properties in Thurston County, with individuals holding 86.2%.
Of the investor portfolio, 56.0% (8,889 properties) are financed, while 44.0% (6,971) are owned with cash. A significant 98.2% of these properties are non-owner-occupied, confirming their use as rental units.
Landlord vs Traditional Homeowners
Landlords paid a 3.8% premium over homeowners in Q1, averaging $603,975 per property.
The price gap is volatile, shifting from a 4.0% discount in Q2 2025 to premiums of 1.9% in Q3 2025 and 3.8% in Q1 2026. This recent trend of paying more than homeowners suggests heightened competition or a focus on higher-value properties.
Current Quarter Purchases
Landlords acquired 23.4% of all SFR properties sold in the last quarter.
Mom-and-pop landlords (1-10 properties) were the driving force, accounting for 98.2% of all investor purchases (167 properties). In contrast, institutional investors (1000+ properties) made up just 1.7% of acquisitions with only 3 properties.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 91.4% of investor-owned SFRs.
Single-property landlords alone own 77.2% of all investor-held housing (12,579 properties). In sharp contrast, institutional investors with 1000+ properties control just 2.9% of the investor portfolio (470 properties).
Ownership by Tier & Type
Companies become majority owners at the 11-20 property tier, holding 63.4% of properties.
Individual investors overwhelmingly dominate smaller portfolios, owning 93.7% of single-property holdings and 86.4% of two-property portfolios. In tiers with over 10 properties, companies consistently represent the majority ownership.
Geographic Distribution
The 98501 and 98503 zip codes lead Thurston County with over 2,100 investor-owned properties each.
While some areas lead by sheer volume, others show intense concentration. The 98355 zip code has a 100.0% investor ownership rate, and 98530 follows with 64.9%, indicating pockets of highly investor-focused activity.
Historical Transactions
While landlords are strong net buyers with a 6.1x buy-sell ratio, institutional investors are actively selling.
In Q1 2026, landlords overall bought 250 properties and sold only 41. In stark contrast, institutional investors were net sellers, acquiring just 4 properties while divesting 9.
Current Quarter Transactions
Landlords were involved in 22.4% of all Thurston County SFR transactions in Q1 2026.
A massive price gap exists between tiers: new single-property landlords paid an average of $620,682, while institutions paid 47.0% less at $328,714. Institutions also sourced 50% of their purchases from other landlords, compared to just 3.8% for new 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 15,860 SFR properties in Thurston County, with individuals holding 86.2%.
Detailed Findings

In Thurston County, investors hold 15,860 Single-Family Residential (SFR) properties, which constitutes 19.1% of the total 83,111 SFRs in the market. This demonstrates a significant investor presence in the local housing landscape.

The ownership structure is overwhelmingly dominated by individual investors. They own 13,674 properties, or 86.2% of the investor portfolio, compared to 2,414 properties (15.2%) owned by companies. This challenges the narrative that corporate landlords are the primary players in the rental market.

By entity count, the disparity is even more pronounced. There are 19,449 individual landlords compared to just 1,146 company landlords, a ratio of nearly 17 to 1. This indicates the market is characterized by a large number of small-scale investors rather than a few large corporations.

An analysis of financing reveals a slight preference for leverage, with 8,889 properties (56.0%) carrying a mortgage, while 6,971 properties (44.0%) are owned outright with cash. This balanced approach suggests varied capital strategies among local investors.

The portfolio is heavily geared towards rentals, with 15,573 properties (98.2%) classified as rented. This high concentration confirms that the vast majority of investor-owned SFRs in Thurston County are actively serving as rental housing for the community.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 3.8% premium over homeowners in Q1, averaging $603,975 per property.
Detailed Findings

In a surprising reversal of typical market patterns, landlords in Thurston County paid more than traditional homeowners in Q1 2026. The average landlord acquisition price was $603,975, a $21,896 (or 3.8%) premium over the homeowner average of $582,079.

This premium is part of a volatile trend. In Q2 2025, landlords secured a 4.0% discount ($24,107), but by Q3 2025 they were paying a 1.9% premium ($11,705). The widening premium in the most recent quarter indicates increased competition or a strategic shift toward acquiring more desirable, and thus more expensive, properties.

Comparing recent prices to the pandemic-era boom (2020-2023) shows significant appreciation. The average landlord acquisition price of $490,999 during 2020-2023 has climbed substantially, with the Q1 2026 price representing a 23.0% increase from that period.

While historical data from 2024 ($559,497) and 2025 ($594,522) shows a steady climb in acquisition costs, the Q1 2026 data marks a new high point. This sustained price growth underscores the continued strength and competitiveness of the Thurston County real estate market for 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 acquired 23.4% of all SFR properties sold in the last quarter.
Detailed Findings

Investor activity remained strong in the final quarter of 2025, with landlords purchasing 170 of the 728 SFRs sold in Thurston County. This accounts for a 23.4% market share of all purchases, highlighting their significant role in market liquidity and demand.

The vast majority of this activity was driven by small-scale investors. Mom-and-pop landlords, defined as those owning 1-10 properties, acquired 167 of the 170 homes, representing an overwhelming 98.2% of all investor purchases.

Activity at the top end of the market was minimal. Institutional investors with portfolios of over 1,000 properties purchased just 3 homes, or 1.7% of the investor total. This starkly contrasts with the high volume from smaller players.

The market continues to attract new entrants. In the last quarter, 207 new landlord entities purchased their first investment property, acquiring a total of 145 homes. This influx of new investors into the single-property tier signals sustained interest in real estate investing in the region.

The data clearly shows that the engine of investor purchasing in Thurston County is not large corporations, but rather new and existing small landlords who are actively growing their portfolios one or two properties at a time.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 91.4% of investor-owned SFRs.
Detailed Findings

The distribution of investor ownership in Thurston County is heavily concentrated among small landlords. Mom-and-pop investors owning 1-10 properties control a combined 91.4% of all investor-owned SFRs, making them the definitive backbone of the local rental market.

Single-property landlords (Tier 01) represent the largest segment by a wide margin, owning 12,579 properties. This accounts for 77.2% of the entire investor-owned housing stock, emphasizing the market's reliance on first-time and small-scale investors.

Mid-size landlords (11-1000 properties) collectively own 5.7% of the portfolio. This segment, while larger on an individual basis, has a much smaller collective footprint than the mom-and-pop category.

Institutional investors (Tier 09), despite their high profile in national discussions, have a very limited presence in Thurston County. They own just 470 properties, which translates to a mere 2.9% share of the investor market, challenging the perception of widespread corporate control.

This ownership structure, with its 31-to-1 ratio of mom-and-pop to institutional ownership, suggests a market characterized by local participation and decentralized ownership rather than consolidation by large entities.

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 majority owners at the 11-20 property tier, holding 63.4% of properties.
Detailed Findings

While individuals dominate overall ownership, a clear crossover point emerges as portfolios grow. Companies become the majority property holders starting in the 11-20 property tier, where they own 85 properties (63.4%) compared to individuals' 49 properties (36.6%).

In the smaller tiers, individual ownership is nearly absolute. Individuals own 93.7% of single-property portfolios and 86.4% of two-property portfolios. This highlights that the entry point and early growth stages of real estate investment are almost exclusively an individual endeavor.

The trend of company dominance continues in larger portfolio sizes. In the 21-50 property tier, companies own 58.9%, and in the 51-100 tier, they own 63.8%. This suggests that as investors scale, they increasingly turn to corporate structures for liability protection and operational efficiency.

Even in the 6-10 property tier, which is still majority-owned by individuals (56.7%), company ownership rises to a significant 43.3%. This marks a transitional phase where the use of LLCs and other corporate entities becomes much more common.

This data illustrates a distinct lifecycle in portfolio management: investors typically start as individuals and then incorporate as their holdings expand beyond the 10-property threshold.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 98501 and 98503 zip codes lead Thurston County with over 2,100 investor-owned properties each.
Detailed Findings

Investor ownership in Thurston County is highly concentrated in specific zip codes. The 98501 area leads with 2,206 investor-owned properties, followed closely by 98503 (2,139 properties), 98513 (2,070 properties), and 98502 (1,926 properties). These four zip codes alone account for a significant portion of the county's rental housing.

The areas with the highest counts do not necessarily have the highest penetration rates. For example, 98501 has an investor ownership rate of 16.5%, while 98503 has a higher rate of 20.8%. This distinction is important for understanding market dynamics.

Certain smaller zip codes exhibit extreme investor concentration. The 98355 area shows a 100.0% investor ownership rate, suggesting it may be a community composed entirely of rental properties or a data anomaly with a small sample size. Similarly, 98530 has a 64.9% rate, indicating a market heavily dominated by rentals.

The top five zip codes by ownership percentage are 98355 (100.0%), 98530 (64.9%), 98576 (28.4%), 98589 (23.2%), and 98597 (21.7%). These figures point to niche markets where investors have a disproportionately large footprint.

Analyzing both total counts and ownership percentages reveals two different types of investor markets within Thurston County: large, popular rental hubs and smaller, highly concentrated investor enclaves.

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
While landlords are strong net buyers with a 6.1x buy-sell ratio, institutional investors are actively selling.
Detailed Findings

The Thurston County market shows a clear divergence in strategy between small and large investors. Overall, landlords are aggressive net buyers, acquiring 250 properties and selling only 41 in Q1 2026. This results in a strong buy-to-sell ratio of 6.1, signaling broad market confidence.

This net buying trend has been consistent over the past two years. In 2024, landlords purchased 1,071 properties while selling 170 (a 6.3x ratio), and in 2025 they purchased 923 and sold 209 (a 4.4x ratio). This demonstrates a sustained period of portfolio accumulation across the market.

However, institutional investors (1000+ properties) are moving in the opposite direction. In Q1 2026, they were net sellers, having purchased 4 properties but sold 9. This pattern of divestment is not new; they were also net sellers in 2024 (3 buys vs. 10 sells) and 2025 (4 buys vs. 12 sells).

This trend suggests that large, institutional capital is exiting the Thurston County SFR market, while smaller, local investors are actively absorbing that inventory and expanding their own holdings. The market's growth is being fueled from the bottom up.

The data paints a picture of a market in transition, where the ownership of rental properties is becoming even more decentralized as large players sell off assets to smaller, local landlords.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 22.4% of all Thurston County SFR transactions in Q1 2026.
Detailed Findings

In Q1 2026, landlords participated in 250 of the 1,117 total SFR transactions in Thurston County, capturing a 22.4% market share. This activity was heavily skewed towards smaller investors, with mom-and-pop landlords (Tiers 01-04) responsible for 236 of those transactions.

A dramatic pricing difference emerged between investor tiers. First-time landlords buying a single property paid the highest average price at $620,682. In stark contrast, institutional investors (Tier 09) paid an average of only $328,714, a 47.0% discount. This suggests institutions are targeting fundamentally different assets, such as lower-cost or distressed properties.

The source of properties also varies significantly by tier. Institutional investors relied heavily on the existing landlord network, acquiring 50.0% of their properties from other investors. This indicates a preference for portfolio transactions or off-market deals within the investor community.

Conversely, new single-property landlords sourced almost all of their homes from the open market, with only 3.8% of their 209 purchases coming from another landlord. This highlights their reliance on traditional, publicly-listed inventory.

The transaction data reveals sophisticated, cost-focused acquisition strategies by large investors, who leverage their networks to buy cheaper assets, while new entrants compete more directly with traditional homebuyers at higher price points.

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 Thurston County's housing market, controlling 91.4% of rentals as institutions retreat as net sellers.
Holdings
Landlords own 15,860 SFR properties, representing 19.1% of Thurston County's market. Individual investors overwhelmingly lead, holding 13,674 properties (86.2%) compared to companies' 2,414 (15.2%).
Pricing
Defying national trends, landlords paid a 3.8% premium over homeowners in Q1 2026, with an average acquisition price of $603,975 versus the homeowner average of $582,079.
Activity
In the last quarter, landlords purchased 23.4% of all homes sold (170 properties), with 207 new single-property landlord entities entering the market and driving 81.0% of investor acquisition volume.
Market Share
Small 'mom-and-pop' landlords (1-10 properties) control a commanding 91.4% of investor-owned housing, while large institutional investors (1000+) own just 2.9% of the portfolio.
Ownership Type
Individual investors are the primary force in smaller portfolios, but companies become the majority owners in portfolios sized at 11-20 properties and larger, signaling a shift to corporate structures as investors scale.
Transactions
Landlords are aggressive net buyers with a 6.1x buy-to-sell ratio in Q1 (250 buys vs 41 sells), while institutional investors are net sellers, having acquired only 4 properties while selling 9.
Market Narrative

In Thurston County, the narrative of Wall Street dominating housing is turned on its head. Investors own a significant 19.1% of the single-family housing market, a total of 15,860 properties, but this portfolio is firmly in the hands of local players. Individual investors own 86.2% of these homes, and 'mom-and-pop' landlords with 1-10 properties control a staggering 91.4% of all investor-owned housing. In contrast, institutional firms with over 1,000 properties own just 2.9%, revealing a highly decentralized and community-based rental market. This structure is further reinforced by the constant influx of new entrants, with 207 new single-property landlords joining the market in the last quarter alone.

Investor behavior in Thurston County is characterized by aggressive acquisition from small players and strategic divestment from large ones. Landlords as a whole are strong net buyers, purchasing properties at more than six times the rate they sell them. Surprisingly, they paid a 3.8% premium over traditional homeowners in Q1 2026, suggesting fierce competition for available inventory. This contrasts sharply with institutional investors, who are consistent net sellers and employ a different strategy altogether. They acquire properties at a 47.0% discount compared to new landlords and source half their deals from other investors, indicating a focus on off-market or portfolio transactions.

The key takeaway from the latest Investor Pulse report for Thurston County is a story of two markets. On one side, a growing army of small, local landlords is confidently expanding, paying market rates to build their portfolios and supplying the majority of rental housing. On the other, large-scale institutional capital is quietly retreating, selling off assets to these smaller buyers. This dynamic suggests the local rental market is not consolidating but is instead becoming more fragmented, with ownership returning to smaller, community-based investors. This trend ensures the market's future will be shaped by the decisions of thousands of individuals, not a handful of corporations.

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 22, 2026 at 05:28 AM
Data Period Q1 2026
Geography Level County
Geography Thurston (WA)
×
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 Thurston (WA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-wa-thurston/. Licensed under CC BY-NC-ND 4.0.