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

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

Market Overview

Total SFR Properties in Long (GA)
5,122
Total Investors in Long (GA)
1,017
Investor Owned SFR in Long (GA)
918(17.9%)
Individual Landlords
Landlords
922
SFR Owned
784
Corporate Landlords
Landlords
95
SFR Owned
135
Understanding Property Counts

Distinct Count Methodology: The total 918 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 Dominate Long County with 93% Ownership as Institutions Retreat as Net Sellers
In Long County, GA, landlords own 17.9% of SFRs, with "mom-and-pop" investors controlling 93.0% of that portfolio versus a mere 1.2% for institutions. This quarter, landlords purchased homes at a 43.9% discount to homeowners, though institutional investors were net sellers, signaling a strategic retreat.
Landlord Owned Current Holdings
Landlords own 918 SFR properties in Long County, with individuals holding a dominant 85.4% share.
The majority of investor properties are owned free-and-clear, with 672 held in cash versus 246 financed. A significant 96.5% of the portfolio (886 properties) is non-owner-occupied, indicating a strong focus on rental income.
Landlord vs Traditional Homeowners
Landlords purchased Q1 properties at a massive 43.9% discount, paying $157,126 less than homeowners.
The price gap between landlords and homeowners has dramatically widened, jumping from an average of 23.3% across 2025 to 43.9% in Q1 2026. The provided data does not split acquisition prices between individual and company investors.
Current Quarter Purchases
Landlords acquired 14.8% of all SFR properties sold in Long County this quarter, purchasing 9 homes.
Mom-and-pop investors drove 44.4% of landlord acquisitions (4 properties). Institutional investors (1000+ properties) made no purchases, while large investors (101-1000) matched mom-and-pops by also acquiring 4 properties.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a massive 93.0% of all investor-owned SFRs in Long County.
Institutional investors (1000+ properties) hold a mere 1.2% share of the market. In Q1 2026, this tier was a net seller, indicating a potential reduction in their already small footprint. Data on acquisition price variation by tier was not provided.
Ownership by Tier & Type
While individuals dominate smaller portfolios, companies become the majority owners at the 11-20 property tier, holding 60.0% of SFRs.
The transition to corporate ownership occurs in the 11-20 property tier. Individuals comprise 92.9% of single-property owners but drop to just 40.0% in this mid-size tier. The provided data does not show pricing differences or historical growth by owner type.
Geographic Distribution
Investor activity in Long County is highly concentrated, with zip code 31316 holding 605 properties alone.
The highest ownership rate is in zip code 30427, where investors own 45.2% of SFRs. This contrasts with the volume leader, 31316, which has a more moderate 14.5% ownership rate.
Historical Transactions
Landlords remain net buyers in Long County, but institutional investors are divesting, with 2 sales for every 1 purchase in Q1.
Overall buying activity is slowing, with 10 purchases in Q1 2026, a pace well below the 91 purchases made during 2025. Data on landlord-to-landlord transaction shares and buy/sell price spreads was not available.
Current Quarter Transactions
Landlords were involved in 12.2% of all SFR transactions in Q1, making 10 purchases out of 82 total market sales.
In Q1, institutional buyers paid 17.5% more per property than new mom-and-pop investors ($210,546 vs $179,135). Large landlords (101-1000 tier) were the most active in inter-landlord trading, sourcing 75% of their acquisitions from other investors.

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
Landlords own 918 SFR properties in Long County, with individuals holding a dominant 85.4% share.
Detailed Findings

Investors hold a notable 17.9% of the 5,122 single-family residential properties in Long County, GA, totaling a portfolio of 918 homes.

Individual investors are the backbone of the local rental market, with 922 of the 1,017 total landlords being individuals. They own 784 properties, representing 85.4% of all investor-owned SFRs and underscoring the market's reliance on small-scale real estate investing.

A strong financial position is evident across the investor-owned portfolio, as cash-owned properties (672) outnumber financed ones (246) by a ratio of more than 2.7-to-1. This suggests many landlords have significant equity and lower debt exposure.

The portfolio is overwhelmingly geared towards generating rental income. A total of 886 properties are classified as rented, which accounts for 96.5% of all investor-owned SFRs.

While individuals dominate in number, company-owned portfolios are slightly larger on average. The 95 company entities own 135 properties (1.42 per entity), compared to 922 individual landlords owning 784 properties (0.85 per entity).

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords purchased Q1 properties at a massive 43.9% discount, paying $157,126 less than homeowners.
Detailed Findings

Investors demonstrated a significant pricing advantage in the first quarter, acquiring properties for an average of $201,010. This was a full 43.9% less than the $358,136 paid by traditional homeowners, resulting in a stark $157,126 price difference per property.

The discount available to landlords has widened dramatically and abruptly. Throughout 2025, the price gap held steady in a range of 22.5% to 24.1%. The sharp increase to 43.9% in Q1 2026 suggests a major shift in market dynamics or investor acquisition strategy.

Overall landlord acquisition prices have been on a downward trend, falling from an average of $268,169 in 2024 to $231,086 in 2025, and further to $201,010 in the most recent quarter. This indicates investors are finding or targeting lower-priced assets.

In contrast, homeowner prices have been more volatile, jumping to a high of $358,136 in Q1 2026 after hovering between $301,931 and $317,055 during 2025. This divergence between rising homeowner prices and falling investor prices is the primary driver of the expanding discount.

The data signals that investors and homeowners are increasingly operating in different segments of the market. Investors appear to be successfully targeting distressed or off-market properties that are not accessible to or desired by traditional buyers.

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 14.8% of all SFR properties sold in Long County this quarter, purchasing 9 homes.
Detailed Findings

In the most recent quarter, landlords captured 14.8% of the market's sales activity, purchasing 9 of the 61 single-family homes sold in Long County.

The market for new rentals is being built by new investors. Four new single-property landlords entered the market this quarter, and their purchases accounted for 44.4% of all investor buying activity.

Quarterly purchasing was highly polarized. Activity was concentrated at the opposite ends of the investor spectrum, with 4 properties bought by first-time landlords and another 4 properties acquired by a single large landlord entity in the 101-1000 property tier.

The largest institutional investors, those with portfolios exceeding 1,000 properties, were entirely absent from the acquisitions market this quarter, purchasing zero homes.

Mid-size landlords were almost completely inactive. Only a single purchase was made by an investor in the 21-50 property tier, while all other mid-size tiers (11-20 and 51-100) recorded no buying activity at all.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a massive 93.0% of all investor-owned SFRs in Long County.
Detailed Findings

The investor landscape in Long County is overwhelmingly dominated by small-scale operators. Landlords with portfolios of 1-10 properties, often called mom-and-pops, own a combined 93.0% of all investor-held single-family homes.

First-time and single-property landlords form the foundation of the market. This group alone owns 742 properties, which represents 79.6% of the entire investor-owned housing stock in the county.

Contrary to common narratives about corporate landlords, the institutional tier (1,000+ properties) has a minimal presence here. They own just 11 properties, accounting for a mere 1.2% of the total investor portfolio.

The market structure reveals a 'hollow middle,' with a steep drop-off in ownership after the smallest tiers. All mid-size and large tiers combined, from 11 to 1,000 properties, own just 5.8% of the portfolio.

This fragmented ownership model, with hundreds of different single-property landlords, indicates a highly decentralized rental market rather than one controlled by a few 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
While individuals dominate smaller portfolios, companies become the majority owners at the 11-20 property tier, holding 60.0% of SFRs.
Detailed Findings

A clear transition point exists where ownership shifts from individuals to corporate structures. In the 11-20 property portfolio tier, companies own a 60.0% majority of the assets, a stark reversal from smaller tiers.

Individual investors are the standard for smaller portfolios. They own 92.9% of single-property holdings and maintain a majority of at least 77.4% in all tiers up to 10 properties.

Even as companies take over, individual investors maintain a significant presence in the mid-size category. In the 11-20 property tier, individuals still own 8 homes, a 40.0% share.

Some investors utilize corporate structures from the very beginning. Companies own 53 properties within the single-property tier, representing 7.1% of that segment, suggesting an early move toward professionalization for a minority of landlords.

This ownership pattern suggests different scaling strategies. Individuals appear to dominate the entry-level and small portfolio segment, while corporate entities are the primary vehicle for scaling into mid-size operations.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Long County is highly concentrated, with zip code 31316 holding 605 properties alone.
Detailed Findings

Investor ownership is not evenly distributed across Long County; it is intensely focused on specific areas. The 31316 zip code is the clear epicenter by volume, containing 605 properties, which is 65.9% of all investor-owned SFRs in the county.

The highest market penetration is found in a different area, zip code 30427. Here, nearly half of all single-family homes (45.2%) are owned by investors, indicating a very high concentration of rental properties.

This highlights a key distinction between ownership volume and ownership rate. The area with the most investor properties (31316) is not the one where investors have the highest market share, pointing to different market dynamics and housing stock in each zip code.

The top four zip codes listed (31316, 30427, 31301, 31313) account for all 918 investor-owned properties in the dataset. This reveals that investor activity is exclusively contained within these specific geographic pockets.

Drilling down into specific neighborhoods using a property search tool could reveal even more granular patterns, but at the zip code level, it's clear that investor strategy is geographically targeted rather than widespread.

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 remain net buyers in Long County, but institutional investors are divesting, with 2 sales for every 1 purchase in Q1.
Detailed Findings

A significant divergence in strategy is emerging between large and small investors. While the overall landlord market continues to be a net acquirer of property (10 buys vs. 8 sells in Q1), the institutional tier is actively selling (1 buy vs. 2 sells).

For the past two years, landlords have been consistent net buyers, adding a net 51 properties in 2024 and a net 80 properties in 2025. The positive net activity in Q1 2026 continues this trend, albeit at a slower pace.

The institutional retreat is a recent development. After being transaction-neutral in 2025 (1 buy and 1 sell), these large-scale investors shifted to become net sellers in the first quarter of 2026, signaling a potential strategic exit from the Long County market.

Transaction volume shows clear signs of a slowdown. The 10 landlord purchases in Q1 2026 projects to an annualized rate of 40, which is less than half of the 82 buys in 2024 and 91 buys in 2025.

Market liquidity appears to be tightening from both sides. While buying has slowed, selling from the landlord community is also modest, with only 8 properties sold in Q1.

Current Quarter Transactions

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

Key Insight
Landlords were involved in 12.2% of all SFR transactions in Q1, making 10 purchases out of 82 total market sales.
Detailed Findings

A pricing inversion occurred this quarter among investor tiers. The institutional buyer paid a 17.5% premium over new single-property landlords, with an average purchase price of $210,546 compared to $179,135 for the smallest investors.

Sourcing strategies differ significantly by investor size. The large landlord tier (101-1000 properties) relied heavily on acquiring properties from other investors, with 75% of their purchases (3 of 4) coming from within the landlord community.

In contrast, new entrants are buying from the general public. New single-property investors sourced only 25% of their acquisitions (1 of 4) from another landlord, suggesting they primarily compete with traditional homebuyers for on-market listings.

The highest purchase price was not from the institutional tier, but from the large 101-1000 tier, which paid an average of $275,264 for its acquisitions. This was over $64,000 more than the institutional purchase price.

Mid-size investors demonstrated very little activity in the inter-landlord market. The single purchase in the 21-50 tier was not sourced from another landlord, indicating a focus on acquiring properties from outside the existing rental pool.

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

Small Landlords Dominate Long County with 93% Ownership as Institutions Retreat as Net Sellers
Holdings
Landlords own 918 SFR properties in Long County, GA (17.9% of the market), with individual investors holding a commanding 85.4% of that portfolio (784 properties) compared to companies at 14.7% (135 properties).
Pricing
In Q1, landlords secured properties for 43.9% less than traditional homeowners, an average discount of $157,126 per property ($201,010 vs $358,136).
Activity
Landlords purchased 14.8% of all homes sold in the latest quarter (9 properties), with activity driven by 4 new single-property landlords entering the market.
Market Share
Small, "mom-and-pop" landlords (1-10 properties) control 93.0% of investor-owned housing, while institutional investors (1000+) own a minimal 1.2% share.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in the 11-20 property tier, controlling 60.0% of assets at that level.
Transactions
Landlords as a whole were net buyers in Q1 (10 buys vs 8 sells), but institutional investors were net sellers, divesting more properties than they acquired (1 buy vs 2 sells).
Market Narrative

The single-family rental market in Long County, GA is fundamentally shaped by small, individual investors. Landlords own 918 properties, representing 17.9% of the county's total SFR housing stock. This portfolio is overwhelmingly controlled by individuals, who own 85.4% of these homes. The market structure defies the narrative of corporate dominance; "mom-and-pop" landlords (1-10 properties) control a massive 93.0% of investor-owned homes, while the largest institutional tier (1000+ properties) holds a mere 1.2% share.

Investor behavior in the first quarter reveals a market of savvy, cost-conscious buyers and a diverging strategy between large and small players. Landlords acquired properties at a remarkable 43.9% discount compared to traditional homeowners, a gap that widened significantly from 2025. While landlords overall remained net buyers (10 purchases vs. 8 sales), institutional investors were net sellers (1 purchase vs. 2 sales), signaling a potential strategic retreat from the area. This activity was led by the smallest investors, with four new single-property landlords entering the market.

The key takeaway from this market reports dashboard is that the Long County rental market is, and continues to be, a landscape defined by local, small-scale entrepreneurship. The pricing advantage suggests these investors are skilled at finding value that traditional buyers may miss. The retreat of institutional capital, coupled with the entry of new mom-and-pop landlords, reinforces the decentralized nature of this market and indicates that future growth will likely continue to come from the grassroots level rather than from large portfolio acquisitions.

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 07:10 AM
Data Period Q1 2026
Geography Level County
Geography Long (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 Long (GA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ga-long/. Licensed under CC BY-NC-ND 4.0.