Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▼ | City / Population |
| 1. | $157,600 | Kingsland, GA / 15,111 |
| 2. | $118,600 | Woodbine, GA / 1,140 |
| 3. | $117,800 | Rockingham, GA / 198 |
| 4. | $110,800 | Blackshear, GA / 3,428 |
| 5. | $97,500 | Sunnyside, GA / 1,578 |
| 6. | $96,700 | Deenwood, GA / 1,495 |
| 7. | $95,700 | Ray City, GA / 1,284 |
| 8. | $92,300 | Jesup, GA / 10,176 |
| 9. | $91,400 | Baxley, GA / 4,506 |
| 10. | $87,900 | Patterson, GA / 674 |
| 11. | $85,800 | Douglas, GA / 11,478 |
| 12. | $81,700 | Odum, GA / 451 |
| 13. | $79,500 | Hazlehurst, GA / 4,114 |
| 14. | $78,900 | Nashville, GA / 4,960 |
| 15. | $77,600 | Folkston, GA / 4,565 |
| 16. | $75,000 | Hoboken, GA / 542 |
| 17. | $72,100 | Homerville, GA / 2,799 |
| 18. | $70,300 | Broxton, GA / 1,222 |
| 19. | $69,800 | Alapaha, GA / 924 |
| 20. | $67,600 | Statenville, GA / 767 |
| 21. | $66,600 | Waycross, GA / 14,728 |
| 22. | $65,700 | Nahunta, GA / 1,049 |
| 23. | $65,200 | Alma, GA / 3,480 |
| 24. | $63,500 | Moody, GA / 1,087 |
| 25. | $62,900 | Fargo, GA / 399 |
| 26. | $62,200 | Lumber City, GA / 2,021 |
| 27. | $61,700 | Offerman, GA / 480 |
| 28. | $54,200 | Lakeland, GA / 3,192 |
| 29. | $50,900 | Homeland, GA / 1,507 |
| 30. | $50,000 | Argyle, GA / 122 |
| 31. | $47,400 | Willacoochee, GA / 1,614 |
| 32. | $47,300 | Nicholls, GA / 2,626 |
| 33. | $43,900 | Screven, GA / 916 |
| 34. | $43,200 | Pearson, GA / 2,584 |
| 35. | $40,600 | Ambrose, GA / 352 |
| 36. | $40,300 | Graham, GA / 556 |
| 37. | $37,500 | Denton, GA / 322 |
| 38. | $34,800 | Surrency, GA / 271 |
| 39. | $33,900 | Jacksonville, GA / 163 |
| 40. | $25,000 | Du Pont, GA / 247 |
| 41. | $24,400 | Satilla, GA / 206 |
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.