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6001 Kings Highway S Seahorse Ln

Myrtle Beach, SC 29575

3 bd 2 ba 1,622 sqft Built 1999 single_family
No recorded sales

Location

Timeline: Sale, Listing & Tax History

Recorded events

No recorded events

No sale or listing events are on file for this property.

Tax assessment history

YearBuildingLandTotal assessedTax paid
2025 $206,700 $206,700 $576
2001 $29,900 $29,900 $132

Property facts

Year built
1999
Property type
single_family
Stories
2
Beds
3
Baths
2
Living area
1,622 sqft
Lot size
ZIP code
29575
City
Myrtle Beach
Street
Kings Highway S Seahorse Ln
Coordinates
33.62105, -78.96162

Comparable properties nearby

Block-level micro-comps

Same street, ±3 house numbers, sold in the last 24 months

Frequently asked questions

When did 6001 Kings Highway S Seahorse Ln last sell?
No public-record sale is on file for 6001 Kings Highway S Seahorse Ln.
What is the current tax assessment for 6001 Kings Highway S Seahorse Ln?
The most recent total assessment for 6001 Kings Highway S Seahorse Ln (year 2025) is $206,700 with $576 in property tax.
When was 6001 Kings Highway S Seahorse Ln built?
6001 Kings Highway S Seahorse Ln was built in 1999.
How does 6001 Kings Highway S Seahorse Ln compare to others on Kings Highway S Seahorse Ln?
We track 1 other property on Kings Highway S Seahorse Ln. Browse the list under "Other properties on Kings Highway S Seahorse Ln" to compare beds, baths, and sale history.
What are the property facts for 6001 Kings Highway S Seahorse Ln?
6001 Kings Highway S Seahorse Ln is a 3 bed, 2 bath, 1,622 sqft single_family.
Is 6001 Kings Highway S Seahorse Ln a flip candidate?
No — 6001 Kings Highway S Seahorse Ln does not appear in our flips dataset.
Is 6001 Kings Highway S Seahorse Ln a tax-appeal candidate?
No — 6001 Kings Highway S Seahorse Ln is not currently flagged as a tax-appeal candidate.

Forecast for this area

ZIP-area linear projection — not a per-property automated valuation
Quarterly trend
-1.4%
Implied 1-yr
-5.6%
2026 Q3
$349K
2026 Q4
$343.7K
ZIP 29575 — Median Price History + Forecast

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