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

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

Market Overview

Total SFR Properties in Coffee (GA)
10,035
Total Investors in Coffee (GA)
2,573
Investor Owned SFR in Coffee (GA)
2,830(28.2%)
Individual Landlords
Landlords
2,353
SFR Owned
2,405
Corporate Landlords
Landlords
220
SFR Owned
435
Understanding Property Counts

Distinct Count Methodology: The total 2,830 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 and Mom-and-Pop Landlords Overwhelmingly Dominate Coffee County's Real Estate Market
Investors own 28.2% of Single-Family Residential properties in Coffee County, GA, with individual, small-scale landlords controlling 93.3% of that portfolio. In the most recent quarter, landlords remained aggressive net buyers, acquiring properties at a 9.9% discount compared to traditional homeowners, while large institutional investors have a negligible presence, owning just 0.1% of investor-held homes.
Landlord Owned Current Holdings
Investors own 2,830 SFR homes in Coffee County, with individuals holding a commanding 85.0% share.
The majority of investor properties were bought with cash (2,369) rather than financed (461), a ratio of more than 5-to-1. Of the total portfolio, 2,723 properties are designated as rentals, representing a 96.2% rental focus.
Landlord vs Traditional Homeowners
In Q1 2026, landlords paid 9.9% less than homeowners, securing an $18,510 average discount per property.
The price advantage for investors has narrowed significantly; the discount was a staggering 65.9% in Q1 2025, showing a much more competitive market now. Landlord acquisition prices have risen from an average of $91,382 in Q1 2025 to $169,050 in Q1 2026.
Current Quarter Purchases
Landlords purchased 24.7% of all SFR properties sold in Coffee County during Q4 2025.
Mom-and-pop landlords (1-10 properties) were responsible for 95.7% of all investor purchases, acquiring 22 of the 23 properties. In contrast, institutional investors (1000+ properties) bought only a single property.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 93.3% of all investor-owned SFR housing in Coffee County.
Conversely, institutional investors with 1,000+ properties have a negligible footprint, owning just 0.1% of the investor portfolio. Single-property landlords alone make up the largest segment, holding 1,772 properties, or 59.9% of all investor-owned homes.
Ownership by Tier & Type
Companies become the majority property holders at the 11-20 property tier, controlling 68.8% of homes in that segment.
Despite this crossover, individuals still dominate the market overall, owning 85.0% of all investor properties. In the largest segment of single-property landlords, individuals own 92.9% of the homes.
Geographic Distribution
The 31533 zip code is the epicenter of investor activity, with 1,327 investor-owned properties.
However, the highest concentration of investors is in the 31552 zip code, where 53.8% of all SFRs are investor-owned. This is followed by 31554, with an ownership rate of 36.5%.
Historical Transactions
Landlords in Coffee County are aggressive net buyers, acquiring 27 properties while only selling 4 in Q1 2026.
This net buyer trend is consistent over time, with a buy-to-sell ratio of 5.9x in 2025 (166 buys vs 28 sells) and 9.6x in 2024 (172 buys vs 18 sells). Data on institutional transactions was not available.
Current Quarter Transactions
In Q1 2026, landlords were involved in 25.2% of all SFR transactions, acquiring 27 of the 107 properties sold.
Inter-landlord trading is rare; only 5.6% of properties bought by single-property investors came from other landlords. The highest average purchase price was paid by small landlords in the 6-10 property tier ($266,500).

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 2,830 SFR homes in Coffee County, with individuals holding a commanding 85.0% share.
Detailed Findings

In Coffee County, GA, investors hold a significant 2,830 Single-Family Residential (SFR) properties, which constitutes 28.2% of the total 10,035 SFRs in the market. This highlights a substantial investor presence shaping the local housing landscape.

The ownership structure is heavily skewed towards individuals over corporations. Individual landlords own 2,405 properties, or 85.0% of the investor-owned market, compared to just 435 properties (15.4%) owned by companies. This indicates the market is driven by local entrepreneurs and small-scale operators rather than large corporate entities.

A look at entity counts reinforces this pattern, with 2,353 individual landlords compared to only 220 company landlords. This nearly 11-to-1 ratio of individual-to-company entities underscores the granular, non-institutional nature of real estate investing in the county.

Financing patterns reveal a strong preference for all-cash acquisitions. Investors own 2,369 properties outright with cash, while only 461 are financed. This reliance on cash suggests a well-capitalized investor base that can move quickly on opportunities without dependency on traditional lending.

The portfolio is clearly focused on generating rental income, with 2,723 of the 2,830 properties being rented. This 96.2% rental rate confirms that the overwhelming majority of investor-owned properties are active components of the area's rental supply.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q1 2026, landlords paid 9.9% less than homeowners, securing an $18,510 average discount per property.
Detailed Findings

Investors in Coffee County consistently purchase properties for less than traditional homeowners. In Q1 2026, landlords paid an average of $169,050, which is $18,510 (or 9.9%) below the average homeowner price of $187,560. This price gap highlights an investor's ability to find and secure deals below the typical market rate.

The investor discount has seen a dramatic compression over the past year. In Q1 2025, landlords enjoyed a massive 65.9% price advantage, paying $176,921 less than homeowners. The narrowing of this gap to just 9.9% in Q1 2026 suggests increased competition for available inventory and rising acquisition costs for investors.

Looking at quarterly trends, the landlord discount has progressively tightened from 65.9% in Q1 2025, to 45.4% in Q2, 37.3% in Q3, and finally 9.9% in Q1 2026. This consistent trend points to a fundamental shift in market dynamics over the last year.

Overall acquisition prices for landlords have increased substantially. The average purchase price rose from $136,864 for all of 2025 to $169,050 in the first quarter of 2026 alone, demonstrating significant price appreciation in the assets investors are targeting.

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 24.7% of all SFR properties sold in Coffee County during Q4 2025.
Detailed Findings

Investor activity accounted for a quarter of the market in Q4 2025, with landlords acquiring 23 of the 89 total SFRs sold in Coffee County. This 24.7% market share indicates that investors are a consistent and significant source of demand.

The purchasing activity is almost entirely driven by small-scale investors. Mom-and-pop landlords (owning 1-10 properties) acquired 22 of the 23 properties bought by investors, making up 95.7% of the investor purchase volume. This reinforces the grassroots nature of the local investment scene.

New entrants are a key driver of market activity. In Q4 2025, 17 new single-property landlords entered the market, acquiring 14 properties. These first-time investors represented 60.9% of all properties purchased by landlords, signaling a healthy and growing base of small investors.

In stark contrast, institutional investors with portfolios of over 1,000 properties had a minimal impact, purchasing only one property in the entire quarter. This 4.3% share of investor activity underscores their near-total absence from the acquisition market here.

The data clearly shows that the lifeblood of the Coffee County investment market is the small landlord, particularly those just starting their portfolios, not large, out-of-state corporations.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 93.3% of all investor-owned SFR housing in Coffee County.
Detailed Findings

The distribution of property ownership in Coffee County is overwhelmingly dominated by small landlords. Investors with portfolios of 1-10 properties (Tiers 01-04) collectively own 93.3% of all investor-held SFRs, cementing their status as the foundation of the rental market.

Single-property landlords (Tier 01) are the single largest group, holding 1,772 properties. This represents 59.9% of all investor-owned homes, meaning the typical real estate investor in the area is a new or small-scale operator.

The mid-size tiers show a sharp drop-off in ownership. Small-to-medium landlords (11-50 properties) control just 5.5% of the portfolio, and medium-to-large investors (51-1000 properties) own a combined 1.1%.

Institutional investors (Tier 09, 1000+ properties) have a nearly non-existent presence, owning just 2 properties in the entire county. This accounts for a mere 0.1% of the investor-owned housing stock, challenging any narrative that large corporations are controlling the local market.

This highly fragmented ownership structure, with 93.3% held by mom-and-pop landlords, suggests a market characterized by local capital and individual decision-making rather than centralized, corporate strategies.

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 majority property holders at the 11-20 property tier, controlling 68.8% of homes in that segment.
Detailed Findings

While individual investors dominate the Coffee County market overall, a clear pattern emerges as portfolios grow: ownership increasingly shifts to company structures. The crossover point occurs in the 11-20 property tier, where companies own 95 properties (68.8%) compared to individuals' 43 properties (31.2%).

In the smallest tiers, individual ownership is nearly absolute. For single-property landlords, individuals own 1,649 homes (92.9%) versus 126 for companies (7.1%). This trend continues for two-property (87.6% individual) and 3-5 property (83.9% individual) portfolios.

The 6-10 property tier represents a transition zone where individuals still hold a majority at 61.0%, but company ownership becomes more significant at 39.0%. This suggests that as investors scale beyond five properties, they begin to formalize their operations under a corporate entity for liability and financial purposes.

This data illustrates a typical investor lifecycle in Coffee County: individuals start and grow small portfolios, but those who scale into mid-size operations tend to adopt a corporate structure. This defines the path from a personal investment to a professional business.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
The 31533 zip code is the epicenter of investor activity, with 1,327 investor-owned properties.
Detailed Findings

Investor ownership in Coffee County is highly concentrated geographically. The zip code 31533 is the clear leader in sheer volume, containing 1,327 investor-owned properties, which is 31.3% of its total SFR housing stock.

While 31533 has the highest count, the 31552 zip code has the highest penetration rate. In this area, investors own 53.8% of all homes, making it a majority-investor market. This indicates a very strong focus on rental properties within that specific community.

Other key areas of concentration include 31535 (593 properties, 21.6% rate), 31554 (346 properties, 36.5% rate), and 31519 (276 properties, 27.2% rate). These five zip codes collectively house a significant portion of the county's rental inventory.

The data reveals a key distinction between markets with a high volume of investor properties and those with a high percentage. For example, 31552 has the highest rate but not the highest count, suggesting it's a smaller market that is heavily saturated with investors. In contrast, 31533 is a larger market with a high but not dominant investor presence.

This geographic analysis allows for a targeted understanding of where investors are most active, distinguishing between areas of scale and areas of saturation within Coffee 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 Coffee County are aggressive net buyers, acquiring 27 properties while only selling 4 in Q1 2026.
Detailed Findings

Transaction data reveals a clear and sustained trend of accumulation among landlords in Coffee County. In the first quarter of 2026, investors were strong net buyers, purchasing 27 SFR properties while only selling 4, resulting in a net gain of 23 properties to their portfolios.

This behavior is not a recent development. The net buyer pattern was even more pronounced in previous years. For the full year of 2025, landlords bought 166 properties and sold just 28, a buy-to-sell ratio of 5.9-to-1. In 2024, the ratio was an even higher 9.6-to-1, with 172 acquisitions versus only 18 sales.

The consistent, multi-year trend of net buying indicates strong confidence in the local rental market. Investors are actively expanding their holdings rather than divesting, which contributes to a tighter for-sale market for traditional homebuyers.

The data for institutional (1000+ tier) transactions was not available for this period, but given their minimal ownership share, their activity would not significantly alter the overall market trend driven by smaller landlords.

This long-term accumulation strategy signals that investors see Coffee County as a market with stable, long-term growth potential for rental income and property appreciation.

Current Quarter Transactions

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

Key Insight
In Q1 2026, landlords were involved in 25.2% of all SFR transactions, acquiring 27 of the 107 properties sold.
Detailed Findings

During Q1 2026, investor activity represented a quarter of all market transactions in Coffee County. Landlords participated in 27 of the 107 total SFR transactions, a market share of 25.2%, underscoring their role as a primary source of housing demand.

Activity was overwhelmingly concentrated among mom-and-pop investors (Tiers 01-04), who were responsible for 26 of the 27 investor transactions. Institutional investors (Tier 09) conducted only one transaction, further highlighting their limited role in the market.

Investors are primarily acquiring properties from the open market, not from each other. For the most active group, single-property landlords, only 1 of their 18 purchases (5.6%) was from another landlord. This indicates that new inventory is being converted into rental stock rather than existing rentals simply changing hands.

A surprising pricing pattern emerged in Q1, with smaller landlords in the 6-10 property tier paying the highest average price at $266,500. This was significantly more than the $165,076 average paid by new single-property investors, suggesting that more established small investors may be targeting higher-value or turnkey properties.

Overall, the Q1 transaction data portrays a market where new and small investors are actively pulling properties from the for-sale market, with very little churn occurring within the existing investor community.

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

Individual Investors and Mom-and-Pop Landlords Command 93% of Coffee County's Investor Market, Actively Buying at a Discount
Holdings
In Coffee County, GA, landlords own 2,830 single-family properties, representing 28.2% of the market. This portfolio is overwhelmingly held by individual investors (2,405 properties, 85.0%) compared to companies (435 properties, 15.4%).
Pricing
Landlords demonstrated a distinct pricing advantage in Q1 2026, paying an average of $169,050, which is 9.9% less than the $187,560 paid by traditional homeowners, a discount of $18,510 per property.
Activity
Investors purchased 24.7% of all homes sold in the most recent quarter, with activity dominated by small players. This included 17 new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) control a commanding 93.3% of all investor-owned housing. In stark contrast, institutional investors with 1,000+ properties own just 0.1% of the portfolio.
Ownership Type
Individual investors are dominant in smaller portfolios, but companies become the majority owners in portfolios of 11-20 properties, indicating a shift to corporate structures as investors scale.
Transactions
Investors in Coffee County are strong net buyers, with a 6.75-to-1 buy/sell ratio in Q1 2026 (27 buys vs 4 sells). Data for institutional transactions was unavailable but their market impact is negligible.
Market Narrative

In Coffee County, GA, the property ownership landscape is defined not by large corporations, but by a robust community of local, small-scale investors. These landlords own 2,830 single-family residential homes, accounting for a significant 28.2% of the county's total SFR market. The composition of this ownership is overwhelmingly granular: individual investors own 85.0% of these properties, and when categorized by size, 'mom-and-pop' landlords (1-10 properties) control a staggering 93.3% of the entire investor portfolio. In contrast, institutional investors (1,000+ properties) have a nearly non-existent footprint, holding just 0.1% of investor-owned homes.

This investor base is not only dominant but also highly active and strategic. In the most recent quarter, landlords accounted for 24.7% of all home purchases, consistently acquiring properties at a discount. In Q1 2026, they paid an average of 9.9% less than traditional homebuyers, a clear competitive advantage. Transactional data further reveals a strong accumulation trend; landlords have been consistent net buyers year-over-year, with a buy-to-sell ratio of nearly 7-to-1 in the first quarter of 2026. This behavior indicates strong confidence in the local market and results in the steady conversion of for-sale inventory into rental housing.

The key takeaway from this investor pulse is that the Coffee County housing market is fundamentally shaped by the actions of thousands of individual and small-scale landlords. Their preference for cash purchases, ability to secure properties below market rate, and consistent strategy of portfolio growth are the primary forces driving the rental market. The narrative of 'Wall Street' buying up homes does not apply here; instead, the story is one of widespread, grassroots real estate investment that forms the backbone of the local housing ecosystem.

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 05:43 AM
Data Period Q1 2026
Geography Level County
Geography Coffee (GA)
×
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 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 Coffee (GA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ga-coffee/. Licensed under CC BY-NC-ND 4.0.