Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | House Median Value ▼ | City / Population |
| 1. | $650,900 | Duck, NC / 390 |
| 2. | $584,200 | Waves, NC / 103 |
| 3. | $583,300 | Rodanthe, NC / 418 |
| 4. | $496,500 | Southern Shores, NC / 2,656 |
| 5. | $421,400 | Manteo, NC / 1,717 |
| 6. | $377,200 | Kitty Hawk, NC / 3,265 |
| 7. | $352,400 | Nags Head, NC / 2,785 |
| 8. | $309,000 | Manns Harbor, NC / 894 |
| 9. | $291,300 | Kill Devil Hills, NC / 6,630 |
| 10. | $280,900 | Moyock, NC / 3,987 |
| 11. | $258,300 | Coinjock, NC / 219 |
| 12. | $256,600 | South Mills, NC / 400 |
| 13. | $247,400 | Camden, NC / 534 |
| 14. | $246,400 | Bayview, NC / 367 |
| 15. | $215,200 | Wanchese, NC / 1,752 |
| 16. | $201,100 | Bath, NC / 229 |
| 17. | $175,300 | Winfall, NC / 755 |
| 18. | $162,500 | Pantego, NC / 186 |
| 19. | $158,000 | Hertford, NC / 1,848 |
| 20. | $152,200 | Elizabeth City, NC / 18,647 |
| 21. | $151,900 | Sunbury, NC / 331 |
| 22. | $151,100 | Gatesville, NC / 328 |
| 23. | $135,200 | Edenton, NC / 5,111 |
| 24. | $115,900 | Engelhard, NC / 478 |
| 25. | $108,700 | Cofield, NC / 313 |
| 26. | $107,100 | Fairfield, NC / 539 |
| 27. | $103,600 | Columbia, NC / 932 |
| 28. | $97,900 | Harrellsville, NC / 144 |
| 29. | $95,800 | Colerain, NC / 198 |
| 30. | $95,000 | Jamesville, NC / 398 |
| 31. | $94,500 | Ahoskie, NC / 5,109 |
| 32. | $94,000 | Askewville, NC / 171 |
| 33. | $90,700 | Swanquarter, NC / 429 |
| 34. | $88,000 | Creswell, NC / 357 |
| 34. | $88,000 | Plymouth, NC / 3,912 |
| 36. | $84,000 | Windsor, NC / 3,328 |
| 37. | $80,300 | Roper, NC / 685 |
| 38. | $75,900 | Belhaven, NC / 1,937 |
| 39. | $75,500 | Williamston, NC / 5,514 |
| 40. | $55,600 | Powellsville, NC / 210 |
Please note that we only rank locations with 'House Median Value' data. The rank above might not be a complete list. Locations without 'House Median Value' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.