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Coldwell Banker Sea Coast Advantage
Market report, updated
Market Report
Search in the neighborhood of OCEAN REEF RESORT NORTH TOWER
Market at a glance
Over the last 6 months, homes sold for 90.5% of list price in 195 days on average.
Average price, last 12 months
What sellers asked vs. what homes actually sold for, by closing month.
Homes sold per month
Closed sales, last 12 months.
Peak: 3 sales in Apr. Last month: 1.
Where the market stands
All homes in this report, by status.
Buyer's or seller's market?
Months it would take to sell every active home at the pace of the last 6 months.
Buyers have room to negotiate in this market.
Average price by status
Average days on market
Browse homes by status
Choose a status to see its numbers, charts and listings.
Active homes
Currently for salePrice vs. living area
Each dot is a home. Hover a dot for its address, click it to see the home.
How long homes have been listed
Number of homes by days on market.
Bedroom mix
Number of homes by bedroom count.
Not enough data to chart this.
Highest price per ft²
Top 7 homes in this status.
All active listings
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 |
|---|---|---|---|---|---|---|
| 7100 Ocean Blvd. N Unit 705Myrtle Beach, SC 29572 | — | 1 | 430 | $142,000 | $330 | 20 days |
| 7100 Ocean Blvd. N Unit 301Myrtle Beach, SC 29572 | — | 1 | 387 | $154,900 | $400 | 29 days |
| 7100 N Ocean Blvd. Unit 626Myrtle Beach, SC 29577 | 4 | 3 | 1,728 | $595,000 | $344 | 44 days |
| 7100 N Ocean Blvd. Unit 1026Myrtle Beach, SC 29577 | 4 | 3 | 1,728 | $595,000 | $344 | 44 days |
| 7100 N Ocean Blvd. Unit 507Myrtle Beach, SC 29572 | — | 1 | 387 | $159,990 | $413 | 47 days |
| 7100 N Ocean Blvd. Unit 912Myrtle Beach, SC 29572 | — | 1 | 387 | $150,000 | $387 | 92 days |
| 7100 Ocean Blvd. N Unit 1206Myrtle Beach, SC 29577 | — | 1 | 387 | $165,000 | $426 | 96 days |
| 7100 N Ocean Blvd. Unit 612Myrtle Beach, SC 29572 | — | 1 | 387 | $174,900 | $451 | 114 days |
| 7100 N Ocean Blvd. Unit 304Myrtle Beach, SC 29572 | — | 1 | 387 | $125,000 | $322 | 147 days |
| 7100 N Ocean Blvd. Unit 613Myrtle Beach, SC 29577 | — | 1 | 390 | $120,000 | $307 | 149 days |
Sold homes
Closed in the last 6 monthsPrice vs. living area
Each dot is a home. Hover a dot for its address, click it to see the home.
How long homes took to sell
Number of homes by days on market.
Bedroom mix
Number of homes by bedroom count.
Not enough data to chart this.
Highest price per ft²
Top 7 homes in this status.
Sold price vs. list price
How close homes sold to their asking price.
All sold listings
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 |
|---|---|---|---|---|---|---|---|
| 7100 N Ocean Blvd. Unit 1103Myrtle Beach, SC 29572 | — | 1 | 387 | $130,000 | 82.5% | $335 | 50 days |
| 7100 N Ocean Blvd. Unit 1011Myrtle Beach, SC 29572 | — | 1 | 400 | $113,750 | 91.0% | $284 | 59 days |
| 7100 N Ocean Blvd. Unit 703Myrtle Beach, SC 29572 | — | 1 | 387 | $113,000 | 87.0% | $291 | 136 days |
| 7100 N Ocean Blvd. Unit 210Myrtle Beach, SC 29572 | — | 1 | 387 | $98,000 | 89.9% | $253 | 378 days |
| 7100 N Ocean Blvd. Unit 1411Myrtle Beach, SC 29572 | — | 1 | 387 | $124,000 | 96.1% | $320 | 166 days |
| 7100 N Ocean Blvd. Unit 204Myrtle Beach, SC 29572 | — | 1 | 387 | $108,000 | 90.1% | $279 | 366 days |
| 7100 N Ocean Blvd. Unit 201Myrtle Beach, SC 29572 | — | 1 | 403 | $120,000 | 96.6% | $297 | 211 days |
Questions about this market?
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These numbers move every month. For what they mean for your home, or for a home you have your eye on, get in touch.
Next steps
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.