HILL OXFORD THREE LLC

Cash-heavy investor in New Castle, IN. 15 acquisitions, $3.55M tracked volume, $236,873 average price, latest observed Jun 2023.

New Castle, INmulti-entityorganization
100% cashNo observed lender$236,873 avgLatest Jun 2023

Investor profile snapshot

HILL OXFORD THREE LLC is a multi-entity real estate investor active in New Castle, IN with 15 recorded acquisitions totaling approximately $3,553,089. Recorded purchases span 6 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in June 2023, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $236,873, which reads as mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
March 2022 to June 2023

Roughly 15 months of recorded buying activity

Latest recorded purchase
June 2023

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 6 metros

Spread across several metros inside the same state footprint

Strategy read
Cash-heavy

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

15
Transactions
15
Properties
$3.55M
Total Volume
$236,873
Average Price

Property Types

Single Family ResidentialObserved type
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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

Find cash-heavy borrower prospects in New Castle, IN

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 New Castle, IN.

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Frequently asked questions

What type of real estate does HILL OXFORD THREE LLC focus on?

Public records associated with HILL OXFORD THREE LLC show activity in Single Family Residential across New Castle, IN.

How many properties are associated with HILL OXFORD THREE LLC?

Public records show approximately 15 properties and 15 recorded transactions associated with HILL OXFORD THREE LLC in this dataset.

Which lenders has HILL OXFORD THREE LLC worked with?

Recorded mortgage data linking HILL OXFORD THREE LLC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is HILL OXFORD THREE LLC's activity?

Records show activity from 2022 through 2023, with the most recent observed purchase recorded in June 2023.

Where is HILL OXFORD THREE LLC active?

Recorded activity is concentrated in New Castle, IN, with footprint across 1 state and 6 metros 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.