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707 26th Ave

North Myrtle Beach, SC 29582

2 bd 2 ba 1,280 sqft Built 1984 townhomes
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 $71,100 $150,000 $221,100 $2,868
2021 $83,648 $9,125 $92,773 $1,260
2020 $83,648 $9,125 $92,773 $1,246
2019 $83,648 $9,125 $92,773 $1,202
2018 $72,738 $7,935 $80,673 $1,107
2017 $72,738 $7,935 $80,673 $1,097
2015 $72,738 $7,935 $80,673 $1,088
2014 $72,700 $7,900 $80,600 $1,053
2008 $3,300 $900 $4,200 $935
2007 $3,300 $900 $4,200 $928
2006 $3,300 $900 $4,200 $890
2001 $45,100 $11,000 $56,100 $591

Property facts

Year built
1984
Property type
townhomes
Stories
2
Beds
2
Baths
2
Living area
1,280 sqft
Lot size
ZIP code
29582
City
North Myrtle Beach
Street
26th Ave
Coordinates
33.80653, -78.71395

Comparable properties nearby

Block-level micro-comps

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

Frequently asked questions

When did 707 26th Ave last sell?
No public-record sale is on file for 707 26th Ave.
What is the current tax assessment for 707 26th Ave?
The most recent total assessment for 707 26th Ave (year 2025) is $221,100 with $2,868 in property tax.
When was 707 26th Ave built?
707 26th Ave was built in 1984.
How does 707 26th Ave compare to others on 26th Ave?
We track 8 other properties on 26th Ave. Browse the list under "Other properties on 26th Ave" to compare beds, baths, and sale history.
What are the property facts for 707 26th Ave?
707 26th Ave is a 2 bed, 2 bath, 1,280 sqft townhomes.
Is 707 26th Ave a flip candidate?
No — 707 26th Ave does not appear in our flips dataset.
Is 707 26th Ave a tax-appeal candidate?
No — 707 26th Ave 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
+0.2%
Implied 1-yr
+0.9%
2026 Q3
$525.2K
2026 Q4
$526.4K
ZIP 29582 — Median Price History + Forecast

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