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

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

Market Overview

Total SFR Properties in Charlton (GA)
2,642
Total Investors in Charlton (GA)
776
Investor Owned SFR in Charlton (GA)
672(25.4%)
Individual Landlords
Landlords
716
SFR Owned
610
Corporate Landlords
Landlords
60
SFR Owned
64
Understanding Property Counts

Distinct Count Methodology: The total 672 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

Individual investors dominate Charlton County's SFR market, owning 91% of rental homes with 99% controlled by mom-and-pop landlords.
Investors own 672 single-family homes in Charlton County, GA, representing 25.4% of the total market. In Q4 2025, landlords acquired 26.7% of all properties sold, with all purchases made by small, single-property investors. Landlords are strong net buyers and consistently acquire properties at a significant discount, paying up to 69.9% less than traditional homeowners in recent quarters.
Landlord Owned Current Holdings
Investors own 672 SFRs, with individuals holding 90.8% of the portfolio.
The vast majority of investor-owned properties, 615 out of 672, are held in cash, with only 57 noted as financed. Of all properties held by landlords, 660 are confirmed rented. There are 716 individual landlords compared to just 60 operating as companies.
Landlord vs Traditional Homeowners
Landlords secured discounts up to 69.9% compared to traditional homeowners in recent quarters.
In Q3 2025, landlords paid $168,225 on average, a 34.4% discount ($88,206) compared to the homeowner price of $256,431. This gap widened from Q1 2025, where landlords paid $84,762, a massive 69.9% discount ($196,492) below the homeowner average of $281,254.
Current Quarter Purchases
Landlords purchased 26.7% of all SFR properties sold in Q4 2025.
Mom-and-pop landlords were responsible for 100% of investor purchases in the quarter, acquiring 4 properties. All of this activity came from the smallest tier of single-property investors, with no purchases from mid-size or institutional tiers.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) overwhelmingly control 99.1% of investor-owned SFRs.
Single-property landlords alone account for 82.0% of all investor-owned housing, with 565 properties. In stark contrast, institutional investors with over 1,000 properties own just a single property, representing 0.1% of the market.
Ownership by Tier & Type
Companies become the majority owners at the 6-10 property tier, despite individuals dominating smaller portfolios.
In the 6-10 property tier, companies own 14 properties (51.9%) compared to 13 for individuals (48.1%). Below this level, individuals are dominant, owning 93.3% of single-property portfolios and 90.0% of two-property portfolios.
Geographic Distribution
Investor activity is highly concentrated, with the 31537 and 31562 zip codes holding the vast majority of rental properties.
The 31537 zip code contains 517 investor-owned properties with a 24.2% ownership rate. The 31562 zip code has 155 investor-owned properties and the highest concentration, with a 30.7% ownership rate.
Historical Transactions
Landlords in Charlton County are aggressive net buyers, acquiring 6.25 properties for every one they sold in 2025.
Throughout 2025, landlords purchased 50 SFR properties while selling only 8, resulting in a net gain of 42 properties for the rental market. This accumulation trend was consistent, with a net gain of 27 properties in 2024 (30 buys vs 3 sells).
Current Quarter Transactions
Landlords were involved in 29.4% of all SFR transactions in Q4 2025.
All 5 of the landlord transactions in the quarter were purchases by single-property investors. Notably, 0% of these properties were acquired from other landlords, indicating that new housing stock is being converted into rentals rather than investors trading existing assets.

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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 672 SFRs, with individuals holding 90.8% of the portfolio.
Detailed Findings

In Charlton County, GA, real estate investors own a significant 25.4% of the single-family residential (SFR) market, totaling 672 properties out of 2,642 total SFRs.

The market is overwhelmingly characterized by individual ownership. Individual landlords control 610 properties, which accounts for 90.8% of the investor-owned portfolio, while companies own the remaining 64 properties (9.5%).

This individual dominance is even more pronounced when looking at entity counts, with 716 individual landlords active in the market compared to just 60 companies. This establishes a ratio of nearly 12 individual landlords for every one company landlord.

A defining feature of this market is the preference for cash acquisitions. An overwhelming 91.5% of investor-owned homes (615 properties) are owned outright, with only 57 properties carrying financing. This indicates a low-leverage, high-equity investment environment.

The portfolio is heavily focused on rental income, with 660 properties classified as rented, confirming the primary strategy for these holdings. This high concentration of individual, cash-rich landlords shapes the local rental market dynamics.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured discounts up to 69.9% compared to traditional homeowners in recent quarters.
Detailed Findings

Landlord acquisition prices in Charlton County reveal a strategy of purchasing properties at a substantial discount compared to traditional homeowners. In Q3 2025, investors paid an average of $168,225, which is 34.4% less than the $256,431 paid by homeowners, a cash difference of $88,206 per property.

This trend of deep discounts was even more pronounced earlier in the year. During Q1 2025, landlords acquired properties for an average of just $84,762, a staggering 69.9% discount, or $196,492 less than the average homeowner purchase price of $281,254.

The data shows a consistent pattern of landlords targeting lower-priced assets, likely representing distressed properties or those in need of renovation, which are less appealing to traditional retail buyers.

While there were no landlord acquisitions recorded in 2026-Q1, the historical data from 2020-2023 shows an average acquisition price of $94,038. This establishes a clear baseline that investor activity is concentrated at the lower end of the price spectrum.

The significant and sustained price gap between what investors and homeowners pay suggests two parallel markets are operating, with investors specializing in sourcing off-market or value-add opportunities that fall outside the typical homebuyer's search criteria.

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 26.7% of all SFR properties sold in Q4 2025.
Detailed Findings

In Q4 2025, investor activity accounted for 26.7% of all SFR sales in Charlton County, with landlords acquiring 4 of the 15 total properties sold. This demonstrates a continued and significant presence in the local real estate market.

The purchasing activity was exclusively driven by mom-and-pop investors. All 4 properties acquired by landlords were purchased by those in the single-property tier, representing 100% of the quarter's investor buying volume.

This activity signals the entry of new landlords or the first step for existing homeowners into investment property ownership, as 5 distinct entities made these 4 purchases. This highlights the grassroots nature of market growth.

Notably, there was zero acquisition activity from mid-size (11-1,000 properties) or institutional (1,000+ properties) investors during the quarter. The market's new rental supply is entirely sourced from small-scale, local buyers.

The complete dominance of the single-property tier in Q4 acquisitions reinforces that the lifeblood of the Charlton County rental market is the small, individual investor, not large corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) overwhelmingly control 99.1% of investor-owned SFRs.
Detailed Findings

The ownership structure in Charlton County is completely dominated by small investors. Mom-and-pop landlords, defined as those owning 1-10 properties, control a staggering 99.1% of all investor-owned SFRs.

The single-property tier is the bedrock of the market, with these landlords owning 565 properties, which constitutes 82.0% of the entire investor-held portfolio. This highlights the highly fragmented and decentralized nature of the rental landscape.

Mid-size investors play a very minor role. Landlords in the 51-100 property tier hold just 3 properties (0.4%), and those in the 101-1,000 property tier hold 2 properties (0.3%).

Institutional ownership is statistically insignificant. The largest tier of investors (1,000+ properties) owns only one property in the entire county, accounting for just 0.1% of the investor market share.

This distribution definitively shows that the narrative of large corporations controlling the housing market does not apply in Charlton County. Instead, the rental market is shaped by hundreds of individual, small-scale landlords.

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
Companies become the majority owners at the 6-10 property tier, despite individuals dominating smaller portfolios.
Detailed Findings

While individual investors dominate the Charlton County market overall, a clear crossover point emerges as portfolios grow. Companies become the majority owners in the 6-10 property tier, holding 14 properties (51.9%) versus 13 properties (48.1%) for individuals.

This transition marks a strategic shift where investors with larger portfolios are more likely to professionalize their operations under a corporate structure for liability and financial reasons.

At smaller scales, individual ownership is the standard. In the single-property tier, individuals own 529 of the 565 properties (93.3%). Similarly, for the two-property tier, individuals own 36 of 40 properties (90.0%).

The 3-5 property tier also remains heavily skewed towards individuals, who own 48 of 51 properties (94.1%), showing that the transition to a corporate entity typically happens only after an investor has scaled beyond five properties.

This data reveals a distinct lifecycle for real estate investors in the county, beginning with individual ownership and graduating to a corporate structure as their portfolio size and complexity increase.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is highly concentrated, with the 31537 and 31562 zip codes holding the vast majority of rental properties.
Detailed Findings

Geographic analysis of Charlton County reveals that investor ownership is not evenly distributed but is heavily concentrated in specific zip codes. The 31537 zip code is the epicenter of activity by volume, containing 517 investor-owned SFRs.

In this key area (31537), investors own 24.2% of all single-family properties, a significant market penetration that shapes the local housing supply and rental availability.

The highest rate of investor ownership is found in the 31562 zip code. While it has a smaller count of 155 investor-owned homes, the ownership rate reaches 30.7%, meaning nearly one in every three SFRs is owned by an investor.

These pockets of high concentration suggest that investors are targeting specific neighborhoods or communities, likely based on factors like affordability, rental demand, and potential for appreciation.

Understanding this hyper-local concentration is crucial for anyone analyzing the county's housing market, as the impact of investor activity is felt much more intensely in these specific zones than county-wide averages would suggest.

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 Charlton County are aggressive net buyers, acquiring 6.25 properties for every one they sold in 2025.
Detailed Findings

Historical transaction data shows landlords in Charlton County are in a strong accumulation phase, consistently acting as net buyers. In 2025, they demonstrated a buy-to-sell ratio of 6.25-to-1, purchasing 50 properties while only selling 8.

This aggressive buying resulted in a net addition of 42 properties to the investor-owned portfolio over the course of the year, signaling strong confidence in the local rental market.

The pattern of net acquisition is not new. In 2024, landlords bought 30 properties and sold just 3, for a net gain of 27 properties and an even higher buy-to-sell ratio of 10-to-1.

Quarterly data from 2025 confirms this trend. In Q3, investors were net buyers by a margin of 14 properties (15 buys vs 1 sell), and in Q2, they were net buyers by 3 properties (5 buys vs 2 sells).

There is no available transaction data for institutional investors, which aligns with their minimal ownership in the county. The market's transaction flow is driven entirely by smaller investors who are actively expanding their holdings.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 29.4% of all SFR transactions in Q4 2025.
Detailed Findings

In the final quarter of 2025, landlords played a role in 29.4% of all market transactions, participating in 5 of the 17 total SFR sales in Charlton County.

All landlord-involved transactions were on the buy-side and were executed exclusively by investors in the single-property tier. This underscores that market growth is fueled by new entrants and small-scale players.

A significant finding from the quarter is the source of these acquisitions. None of the 5 properties purchased by investors were bought from other landlords (0% inter-landlord trading). This means every purchase represented a conversion of a property into a rental, expanding the overall rental housing supply.

No transactional activity was recorded for mid-size or institutional tiers, reinforcing that the transactional market, like the ownership market, is a domain of the small investor.

The average purchase price for these transactions was not available (nan), but the volume and sourcing data clearly depict a market where new capital from small investors is actively bringing more single-family homes into the rental pool.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Individual investors command Charlton County's SFR market, owning 91% of rentals as mom-and-pop landlords control over 99% of the portfolio.
Holdings
Landlords own 672 SFR properties in Charlton County, GA, representing 25.4% of the market. Individual investors hold a commanding 610 of these properties (90.8%), while companies own just 64 (9.5%).
Pricing
Landlords consistently acquire properties at a deep discount, paying 34.4% less than homeowners in Q3 2025 ($168,225 vs $256,431) and up to 69.9% less in Q1 2025.
Activity
In Q4 2025, landlords purchased 26.7% of all SFRs sold (4 properties), with 100% of this activity driven by 5 new or single-property investors entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) dominate the market, controlling 99.1% of all investor-owned housing, while institutional investors (1000+) own a mere 0.1%.
Ownership Type
Individual investors are the standard, but companies become the majority owners in portfolios once they scale to the 6-10 property tier.
Transactions
Landlords are strong net buyers, acquiring 50 properties versus selling only 8 in 2025, a 6.25x buy/sell ratio. No institutional transactions were recorded.
Market Narrative

The single-family rental market in Charlton County, GA is fundamentally shaped by small, individual investors. They own 672 properties, a significant 25.4% of the county's total SFR housing stock. Ownership is highly decentralized, with individual landlords controlling 90.8% of this portfolio (610 homes), compared to just 9.5% for companies. The market structure defies the national narrative of corporate dominance; mom-and-pop landlords (1-10 properties) control a staggering 99.1% of investor-owned homes, while institutional firms with over 1,000 properties own just a single property (0.1%).

Investor behavior is characterized by strategic, value-oriented acquisitions and consistent portfolio growth. In the most recent quarter with activity (Q4 2025), landlords purchased 26.7% of all homes sold, with 100% of this buying coming from new, single-property investors. They secure these properties at extreme discounts, paying up to 69.9% less than traditional homeowners, which indicates a focus on distressed or off-market assets. Furthermore, landlords are aggressive net buyers, having purchased 6.25 properties for every one sold in 2025, steadily increasing the county's rental housing supply.

The key takeaway for Charlton County is that its rental market is a grassroots ecosystem, not a corporate one. It relies on hundreds of local, cash-heavy individuals who are actively expanding their holdings. This structure suggests a market with deep local knowledge but also potential fragmentation. The high concentration of investor ownership in specific zip codes, such as 31562 (30.7%), means the impact of this activity is hyper-localized, influencing rental availability and pricing far more intensely in certain neighborhoods than county-wide figures suggest.

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 05:27 AM
Data Period Q1 2026
Geography Level County
Geography Charlton (GA)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
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Chart Section4 Distribution
Chart Section4 Distribution
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Chart Section5 Holdings
Chart Section5 Holdings
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Chart Section6 Prices
Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
Chart Section6 Trends
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Chart Section7 Purchases
Chart Section7 Purchases
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Chart Section7 Tiers
Chart Section7 Tiers
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Chart Section8 Distribution
Chart Section8 Distribution
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Chart Section8 Prices
Chart Section8 Prices
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Chart Section8 Prices Q4
Chart Section8 Prices Q4
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Chart Section8 Prices 2020
Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
Chart Section9 Ownership
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Chart Section9 Growth
Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
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
Chart Section11 Institutional
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Chart Section11 Institutional Price
Chart Section11 Institutional Price
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

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How to cite this report

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