DIXIE LAND SALES INC

Cash-heavy investor in Brunswick-St. Simons, GA. 20 acquisitions, $593,850 tracked volume, $29,693 average price, latest observed Oct 2025.

Brunswick-St. Simons, GAflipperorganization
100% cashNo observed lender$29,693 avgLatest Oct 2025

Investor profile snapshot

DIXIE LAND SALES INC is a flipper real estate investor active in Brunswick-St. Simons, GA with 20 recorded acquisitions totaling approximately $593,850. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in October 2025, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $29,693, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior and cash-heavy execution within the recorded deed activity.

Observed window
January 2022 to October 2025

About 4 years of observed acquisition activity

Latest recorded purchase
October 2025

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Transaction Summary

20
Transactions
20
Properties
$593,850
Total Volume
$29,693
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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Financing Signal

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
100%
Observed lenders
0

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No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Brunswick-St. Simons, GA.

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Frequently asked questions

What type of real estate does DIXIE LAND SALES INC focus on?

Public records associated with DIXIE LAND SALES INC show activity in Single Family Residential, Vacant Land across Brunswick-St. Simons, GA.

How many properties are associated with DIXIE LAND SALES INC?

Public records show approximately 20 properties and 20 recorded transactions associated with DIXIE LAND SALES INC in this dataset.

Which lenders has DIXIE LAND SALES INC worked with?

Recorded mortgage data linking DIXIE LAND SALES INC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is DIXIE LAND SALES INC's activity?

Records show activity from 2022 through 2025, with the most recent observed purchase recorded in October 2025.

Where is DIXIE LAND SALES INC active?

Recorded activity is concentrated in Brunswick-St. Simons, GA, with footprint across 1 state and 1 metro in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.