Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | House Median Value ▲ | City / Population |
| 1. | $27,600 | Foxworth, MS / 506 |
| 2. | $45,000 | Silver Creek, MS / 225 |
| 2. | $45,000 | New Augusta, MS / 874 |
| 4. | $46,300 | Beaumont, MS / 1,103 |
| 5. | $47,200 | Sandersville, MS / 673 |
| 6. | $47,500 | Varnado, LA / 294 |
| 7. | $55,000 | Bassfield, MS / 319 |
| 8. | $67,100 | Prentiss, MS / 1,409 |
| 9. | $69,000 | Richton, MS / 977 |
| 10. | $71,400 | Purvis, MS / 1,816 |
| 11. | $71,600 | Lumberton, MS / 1,938 |
| 12. | $71,900 | Sharon, MS / 1,498 |
| 13. | $75,100 | Bogalusa, LA / 12,417 |
| 14. | $76,900 | Laurel, MS / 18,506 |
| 15. | $77,400 | Mount Olive, MS / 1,176 |
| 16. | $77,500 | Taylorsville, MS / 1,343 |
| 17. | $77,600 | Glendale, MS / 1,540 |
| 18. | $78,600 | Ellisville, MS / 4,444 |
| 19. | $79,000 | Rawls Springs, MS / 1,355 |
| 20. | $83,500 | Sun, LA / 358 |
| 21. | $84,300 | Angie, LA / 214 |
| 22. | $84,700 | Columbia, MS / 6,573 |
| 23. | $85,700 | Mclain, MS / 932 |
| 24. | $87,000 | Tylertown, MS / 2,083 |
| 25. | $87,700 | Soso, MS / 384 |
| 26. | $89,900 | Collins, MS / 2,602 |
| 26. | $89,900 | Franklinton, LA / 3,816 |
| 28. | $102,900 | Seminary, MS / 313 |
| 29. | $105,000 | Wiggins, MS / 4,281 |
| 30. | $105,500 | Nicholson, MS / 3,306 |
| 31. | $110,100 | Picayune, MS / 11,087 |
| 32. | $111,200 | Hattiesburg, MS / 45,713 |
| 33. | $120,000 | Petal, MS / 10,301 |
| 34. | $124,000 | Arnold Line, MS / 1,578 |
| 35. | $132,100 | Poplarville, MS / 3,016 |
| 36. | $132,400 | Sumrall, MS / 1,209 |
| 37. | $135,300 | Saucier, MS / 660 |
| 38. | $141,200 | West Hattiesburg, MS / 6,516 |
| 39. | $141,800 | Lyman, MS / 1,804 |
| 40. | $176,900 | Hide-A-Way Lake, MS / 1,554 |
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.