Webster (GA) Investor Pulse Report (2026-Q1)

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

Market Overview

Total SFR Properties in Webster (GA)
571
Total Investors in Webster (GA)
221
Investor Owned SFR in Webster (GA)
192(33.6%)
Individual Landlords
Landlords
196
SFR Owned
165
Corporate Landlords
Landlords
25
SFR Owned
27
Understanding Property Counts

Distinct Count Methodology: The total 192 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 Individual Investors Dominate Webster County, Owning 99% of Rentals and Paying Unusual Q1 Premiums
Investors own 192 single-family properties in Webster County, GA, representing 33.6% of the market. This portfolio is overwhelmingly controlled by mom-and-pop landlords (99.0%), with individuals owning 85.9% of all properties. In Q1 2026, landlords were net buyers and paid a surprising 147.3% premium over traditional homeowners, a significant deviation from historical discounts.
Landlord Owned Current Holdings
Investors own 192 SFRs, 33.6% of the market, with individuals holding 85.9%.
Cash ownership heavily outweighs financing, with 176 properties owned outright compared to just 16 with a mortgage. The market consists of 221 distinct landlords, of which 196 are individuals and 25 are companies.
Landlord vs Traditional Homeowners
Landlords paid a 147.3% premium over homeowners in Q1, an anomaly.
In Q1 2026, landlords paid an average of $309,090 versus just $125,000 for traditional homeowners, a price difference of $184,090. This completely reverses the trend from Q3 2025, when landlords secured a 37.2% discount.
Current Quarter Purchases
Landlords acquired 33.3% of all SFR properties sold in Q4 2025.
Mom-and-pop investors accounted for 100% of landlord purchases, with all activity coming from new, single-property landlords. This activity introduced 3 new landlord entities into the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 99.0% of investor-owned SFRs.
Single-property landlords alone own 156 properties, representing 80.0% of the entire investor portfolio. There is zero institutional (1000+ property) ownership in Webster County.
Ownership by Tier & Type
Individual investors own the vast majority of properties in every significant tier.
Companies only reach a 50% share in the tiny 11-20 property tier, which contains just two properties. In the dominant single-property tier, individuals own 138 properties (88.5%) compared to just 18 owned by companies.
Geographic Distribution
Investor activity is concentrated in the 31824 zip code, holding 121 properties.
The highest investor penetration rate is in the 39877 zip code at 40.8%, where two in five homes are investor-owned. The top zip codes by property count and ownership percentage are largely the same, showing focused investment.
Historical Transactions
Landlords in Webster County are consistent net buyers, acquiring properties faster than they sell.
In Q1 2026, landlords bought 3 properties and sold only 1, resulting in a net portfolio gain. This continues a multi-year trend of accumulation, with a net gain of 4 properties in 2025 and 11 in 2024.
Current Quarter Transactions
Landlords accounted for 27.3% of all Q1 transactions, with all activity from new investors.
All 3 landlord purchases were made by single-property investors at an average price of $309,090. None of these acquisitions were from other landlords, indicating investors are buying from the general market.

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Current Holdings Portfolio

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

Chart Section5 Holdings
Key Insight
Investors own 192 SFRs, 33.6% of the market, with individuals holding 85.9%.
Detailed Findings

In Webster County, landlords have a significant footprint, controlling 192 single-family residential properties, which accounts for 33.6% of the total 571 SFRs in the market. This high concentration indicates that one-third of the local single-family housing stock serves as rental or investment properties.

The ownership structure is dominated by private individuals rather than corporations. Individual investors own 165 properties, or 85.9% of the landlord portfolio, while companies own the remaining 27 properties (14.1%). This 6-to-1 ratio of individual to company-owned properties underscores a market characterized by local, small-scale real estate investing.

A defining feature of this market is the preference for cash transactions. An overwhelming 176 investor-owned properties were acquired with cash, compared to only 16 that are financed. This suggests that local landlords are well-capitalized and operate with low leverage, making their portfolios resilient to interest rate fluctuations.

The investor base itself is broad, with 221 distinct landlord entities active in the county. Similar to property ownership, individuals make up the vast majority of these entities, with 196 individual landlords compared to just 25 company landlords. This further highlights the 'Main Street' nature of Webster County's rental market.

Virtually the entire investor portfolio is geared towards rental income, with 191 of the 192 properties classified as rented or non-owner-occupied. This near-total rental focus confirms that the primary strategy for landlords in this area is generating cash flow from long-term holds.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid a 147.3% premium over homeowners in Q1, an anomaly.
Detailed Findings

In a striking market reversal, landlords paid a significant premium for properties in Q1 2026. The average acquisition price for an investor was $309,090, which is 147.3% higher than the $125,000 average paid by traditional homeowners. This resulted in landlords paying an extra $184,090 per property during the quarter.

This Q1 anomaly stands in stark contrast to historical patterns. For instance, in Q3 2025, landlords paid an average of $163,267 while homeowners paid $260,000, giving investors a 37.2% discount. The shift from a substantial discount to an extreme premium suggests a low-volume market where one or two high-value investor purchases can heavily skew the quarterly average.

The average acquisition price for landlords has shown considerable volatility. The Q1 2026 average of $309,090 is a significant jump from both the 2025 average ($163,267) and the 2024 average ($265,375). This indicates that pricing is highly dependent on the specific properties transacted in any given period rather than a smooth market-wide trend.

Analysis of longer-term pricing shows a steady appreciation from the pandemic era. The average price during 2020-2023 was $180,284, indicating that recent acquisitions, despite their volatility, are occurring at much higher price points than just a few years ago.

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 33.3% of all SFR properties sold in Q4 2025.
Detailed Findings

In the final quarter of 2025, landlords demonstrated significant market participation by purchasing 2 of the 6 total SFRs sold, capturing a 33.3% market share of acquisitions. This level of activity highlights continued investor demand in Webster County.

The acquisition market was exclusively driven by the smallest investors. All 100.0% of landlord purchases were made by mom-and-pop landlords operating in Tiers 01-04. No properties were acquired by mid-size or institutional investors, reinforcing the local, small-scale nature of the market.

Drilling down further, all investor activity came from the single-property (Tier 01) category. These two purchases were made by three distinct entities, signaling the entry of new landlords into the rental market rather than portfolio expansion by existing investors.

The complete absence of purchases from landlords in Tier 05 (11-20 properties) and above indicates that market growth is currently happening at the grassroots level. The data shows no activity from larger, more established investors during this period.

This pattern of new, single-property landlords driving all acquisition activity suggests a market that is accessible to first-time investors. The barrier to entry appears low, allowing individuals to begin their investment journey in Webster County.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 99.0% of investor-owned SFRs.
Detailed Findings

The investor landscape in Webster County is unequivocally dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties (Tiers 01-04), collectively own 99.0% of all investor-held SFRs. This concentration dispels any notion of large corporate control over the local rental market.

The single-property tier (Tier 01) forms the bedrock of the market, with these landlords owning 156 properties. This accounts for 80.0% of all investor-owned housing, highlighting the critical role of first-time or small-scale investors.

As portfolio size increases, the number of properties drops off sharply. Landlords with two properties (Tier 02) and those with 3-5 properties (Tier 03) each hold 17 properties, representing 8.7% of the market share respectively. The tiers above this have negligible holdings.

There is absolutely no presence of institutional investors (Tier 09, 1000+ properties) in Webster County. The largest portfolio size noted in the data is the small-medium tier (11-20 properties), which contains only two properties. This data is a core element of the county's property ownership report profile.

This ownership structure indicates a highly fragmented market where influence is spread across many small landlords rather than concentrated in the hands of a few large players. This has significant implications for market stability, rental pricing, and property management standards.

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

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Individual investors own the vast majority of properties in every significant tier.
Detailed Findings

Across all meaningful portfolio tiers in Webster County, individual investors are the dominant owners. There is no crossover point where companies become the majority, a pattern often seen in larger markets. Individuals maintain a strong majority in the tiers that comprise nearly the entire market.

In the most foundational tier, single-property landlords, individuals own 138 of the 156 properties, an 88.5% share. Companies own just 18 properties (11.5%) in this category, showing that new market entrants are overwhelmingly private individuals.

This trend continues into larger portfolios. For two-property owners, individuals hold 16 of 17 properties (94.1%). In the 3-5 property tier, individuals own 11 of 17 properties (64.7%).

The only tier to show an even split is the small-medium (11-20) category, where one property is owned by an individual and one by a company. However, with only two properties total, this tier is not statistically significant and does not represent a shift toward corporate ownership.

This data confirms that the Webster County rental market is built and maintained by private citizens. The business model is not reliant on corporate structuring, even as landlords begin to scale their portfolios into the 6-10 property range, where individuals still own two-thirds of the assets.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in the 31824 zip code, holding 121 properties.
Detailed Findings

Geographic analysis of Webster County reveals a clear concentration of investor activity in specific zip codes. The 31824 zip code is the epicenter of landlord ownership, with 121 investor-owned SFRs, representing 34.8% of that area's housing stock.

While 31824 leads in raw numbers, the 39877 zip code has the highest rate of investor ownership. In this area, 40.8% of SFRs are landlord-owned, indicating a very high penetration of rental properties within that community.

The top five regions by both count and percentage overlap significantly, pointing to a focused investment strategy rather than a broad, even distribution. The zip codes 31824, 31825, 39877, and 31832 all appear on both top-5 lists, highlighting them as the primary targets for local investors.

The data shows a strong correlation between areas with a high count of investor properties and a high percentage rate. This suggests that as investors enter the market, they are drawn to the same areas, compounding the concentration of rental housing over time.

Even in the lower-density areas like 31780, the investor ownership rate remains substantial at 25.0%, indicating that a baseline of rental property presence exists across the entire 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
Key Insight
Landlords in Webster County are consistent net buyers, acquiring properties faster than they sell.
Detailed Findings

Historical transaction data shows a clear and consistent trend: landlords in Webster County are in accumulation mode. In the first quarter of 2026, investors were net buyers, acquiring 3 SFR properties while selling only 1, for a net gain of 2 properties.

This pattern of growth is not new. In 2025, landlords bought 5 properties and sold just 1, increasing their collective holdings by 4 properties. The activity was even more pronounced in 2024, with 13 purchases against only 2 sales, for a net gain of 11 properties.

The sustained net buying activity over multiple years signals strong confidence in the local rental market. Investors are choosing to expand their portfolios rather than divest, indicating favorable conditions such as steady rental demand or property value appreciation.

There is no institutional investor transaction activity to report. All buying and selling is conducted by smaller, independent landlords, which aligns with the overall ownership structure of the county.

The consistent buy-to-sell ratio, which heavily favors acquisitions, suggests a long-term hold strategy is prevalent among local investors. This contrasts with markets dominated by flipping or short-term speculation.

Current Quarter Transactions

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

Key Insight
Landlords accounted for 27.3% of all Q1 transactions, with all activity from new investors.
Detailed Findings

In Q1 2026, landlords were a significant force in the market, responsible for 3 of the 11 total SFR transactions, a 27.3% share of all activity. This demonstrates that investors are actively competing with traditional homebuyers for available inventory.

All investor purchasing activity this quarter came exclusively from the single-property (Tier 01) category. These 3 transactions represent new entrants to the market or existing homeowners buying their first investment property. No mid-size or institutional tiers recorded any purchases.

The average purchase price for these new landlords was $309,090, a figure notably higher than homeowner averages for the same period. This suggests these investors may have targeted higher-value properties or faced stiff competition.

Notably, 0% of landlord purchases were from other landlords. This lack of inter-landlord trading indicates that investors are acquiring properties from the open market, likely from traditional homeowners, rather than from a churn of existing rental stock.

The concentration of transactions at the entry-level tier, combined with the lack of institutional activity, paints a picture of a market defined by grassroots growth. The data from comprehensive market reports like this one shows the market's health is dependent on the decisions of many small, independent buyers.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Small Individual Investors Dominate Webster County, Owning 99% of Rentals and Paying Unusual Q1 Premiums
Holdings
Landlords own 192 SFR properties, 33.6% of Webster County's market, with individual investors holding 165 of those properties (85.9%) compared to just 27 (14.1%) for companies.
Pricing
In a sharp reversal, landlords paid 147.3% more than homeowners in Q1 2026, an average price of $309,090 compared to the homeowner average of $125,000.
Activity
Investors purchased 27.3% of homes sold in Q1 (3 properties), with all acquisitions made by new, single-property landlords entering the market.
Market Share
Mom-and-pop landlords (1-10 properties) control 99.0% of all investor housing, while institutional investors (1000+) have no presence in the county.
Ownership Type
Individual investors overwhelmingly dominate ownership with 85.9% of the portfolio; there is no portfolio tier where companies become the majority owner.
Transactions
Landlords remain net buyers, with 3 purchases versus 1 sale in Q1 2026, continuing a multi-year trend of portfolio accumulation. There was no institutional transaction activity.
Market Narrative

In Webster County, Georgia, the single-family rental market is defined by small, independent operators. Landlords own a substantial 192 properties, representing 33.6% of the county's total SFR housing stock. This market is overwhelmingly controlled by mom-and-pop landlords (1-10 properties), who hold 99.0% of the investor-owned inventory. Further analysis based on assessor data reveals that individual investors, not corporations, are the primary owners, holding 85.9% of these properties. Institutional investors with portfolios of 1,000 or more properties have zero presence, solidifying the 'Main Street' character of this market.

Investor activity in the first quarter of 2026 highlights ongoing growth and a peculiar pricing dynamic. Landlords were net buyers, acquiring 3 properties while selling only one, and were involved in 27.3% of all market transactions. All purchasing activity came from new, single-property investors, signaling a healthy influx of first-time landlords. In a striking anomaly, these investors paid an average of $309,090, a 147.3% premium over the $125,000 paid by traditional homeowners. This reverses historical trends of investor discounts and suggests that in a low-volume market, a few high-value purchases can significantly skew averages.

The key takeaway from Webster County is a portrait of a stable, growing rental market fueled by local individuals, not distant corporations. The preference for cash purchases (176 cash vs. 16 financed) indicates low leverage and financial resilience. Investors are consistently accumulating properties and targeting specific zip codes like 31824 and 39877. This market structure, characterized by a fragmented base of small landlords, creates a unique environment for both renters and prospective investors, distinct from the national narrative of corporate consolidation.

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 08:45 AM
Data Period Q1 2026
Geography Level County
Geography Webster (GA)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

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How to cite this report

BatchData. (2026). Q1 2026 Webster (GA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ga-webster/. Licensed under CC BY-NC-ND 4.0.