Market report, updated
Search in the neighborhood of Atlantica II
Over the last 12 months, homes sold for 97.9% of list price in 138 days on average.
What sellers asked vs. what homes actually sold for, by closing month.
Closed sales, last 12 months.
Peak: 1 sale in Feb. Last month: 0.
All homes in this report, by status.
Months it would take to sell every active home at the pace of the last 6 months.
Supply and demand are roughly in balance in this market.
Choose a status to see its numbers, charts and listings.
Each dot is a home. Hover a dot for its address, click it to see the home.
Number of homes by days on market.
Number of homes by bedroom count.
Top 1 home in this status.
Every home in this list is on the map. Click a marker for the home.
| Address | Beds | Baths | Living ft² | List price | $ / ft² | Days on market |
|---|---|---|---|---|---|---|
| 1700 North Ocean Blvd. Unit 1253Myrtle Beach, SC 29577 | 2 | 2 | 977 | $349,900 | $358 | 43 days |
Each dot is a home. Hover a dot for its address, click it to see the home.
Number of homes by days on market.
Number of homes by bedroom count.
Top 2 homes in this status.
How close homes sold to their asking price.
Every home in this list is on the map. Click a marker for the home.
| Address | Beds | Baths | Living ft² | Sold price | Sold / list | $ / ft² | Days to sell |
|---|---|---|---|---|---|---|---|
| 1700 N Ocean Blvd. Unit 651Myrtle Beach, SC 29577 | 2 | 2 | 795 | $290,000 | 92.7% | $364 | 242 days |
| 1700 N Ocean Blvd. Unit 852Myrtle Beach, SC 29577 | 2 | 2 | 882 | $280,500 | 103.1% | $318 | 34 days |
These numbers move every month. For what they mean for your home, or for a home you have your eye on, get in touch.

Provided courtesy of The Coastal Carolinas Association of REALTORS®. Information Deemed Reliable but Not Guaranteed. Copyright 2026 of the Coastal Carolinas Association of REALTORS® MLS. All rights reserved. Information is provided exclusively for consumers’ personal, non-commercial use, that it may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing.