Local Data Search
A total of 95 results found. Show Results on Map.
| Rank | Percentage of Houses with a Value of $300K - $500K ▼ | County / Population |
| 1. | 34.4% | Williamson, TN / 165,526 |
| 2. | 13.4% | Loudon, TN / 45,176 |
| 3. | 13.2% | Fayette, TN / 36,820 |
| 4. | 13.0% | Wilson, TN / 106,472 |
| 5. | 11.4% | Sumner, TN / 151,874 |
| 6. | 11.2% | Davidson, TN / 621,465 |
| 7. | 10.3% | Sevier, TN / 83,448 |
| 8. | 10.2% | Knox, TN / 423,655 |
| 9. | 9.9% | Blount, TN / 119,489 |
| 10. | 8.8% | Shelby, TN / 918,186 |
| 11. | 8.3% | Jefferson, TN / 50,116 |
| 12. | 8.2% | Washington, TN / 116,750 |
| 13. | 8.0% | Hamilton, TN / 330,941 |
| 14. | 7.4% | Moore, TN / 6,044 |
| 15. | 7.4% | Sequatchie, TN / 13,377 |
| 16. | 7.3% | Bradley, TN / 95,184 |
| 17. | 7.0% | Franklin, TN / 41,021 |
| 18. | 7.0% | Roane, TN / 53,186 |
| 19. | 6.7% | Polk, TN / 15,735 |
| 20. | 6.7% | Cumberland, TN / 52,852 |
| 21. | 6.5% | Rutherford, TN / 240,181 |
| 22. | 6.5% | Lincoln, TN / 32,764 |
| 23. | 6.3% | Bedford, TN / 44,291 |
| 24. | 6.3% | Sullivan, TN / 153,314 |
| 25. | 6.2% | Marion, TN / 27,960 |
| 26. | 6.1% | Maury, TN / 80,190 |
| 27. | 6.0% | Cannon, TN / 13,505 |
| 28. | 5.7% | Cheatham, TN / 39,042 |
| 29. | 5.7% | Robertson, TN / 63,521 |
| 30. | 5.6% | Madison, TN / 96,346 |
| 31. | 5.5% | Johnson, TN / 18,019 |
| 32. | 5.4% | Dickson, TN / 47,140 |
| 33. | 5.3% | Humphreys, TN / 18,151 |
| 34. | 5.3% | Putnam, TN / 69,938 |
| 35. | 5.3% | Bledsoe, TN / 12,941 |
| 36. | 5.1% | Giles, TN / 29,075 |
| 37. | 5.0% | Smith, TN / 18,863 |
| 38. | 5.0% | Hamblen, TN / 61,698 |
| 39. | 4.9% | Fentress, TN / 17,412 |
| 40. | 4.9% | Monroe, TN / 44,602 |
| 41. | 4.7% | Rhea, TN / 30,633 |
| 42. | 4.6% | Anderson, TN / 73,382 |
| 43. | 4.5% | Hardeman, TN / 27,759 |
| 44. | 4.4% | Cocke, TN / 35,406 |
| 45. | 4.3% | Trousdale, TN / 7,682 |
| 46. | 4.3% | Chester, TN / 16,106 |
| 47. | 4.1% | Mcminn, TN / 52,055 |
| 48. | 4.0% | Montgomery, TN / 153,491 |
| 49. | 3.9% | Meigs, TN / 11,747 |
| 50. | 3.9% | Tipton, TN / 57,543 |
| 51. | 3.9% | White, TN / 24,897 |
| 52. | 3.9% | Overton, TN / 20,816 |
| 52. | 3.9% | Hawkins, TN / 56,957 |
| 54. | 3.7% | Greene, TN / 65,698 |
| 55. | 3.6% | Coffee, TN / 51,694 |
| 56. | 3.6% | Union, TN / 18,927 |
| 57. | 3.5% | Lawrence, TN / 40,899 |
| 58. | 3.5% | Dekalb, TN / 18,624 |
| 59. | 3.5% | Wayne, TN / 16,592 |
| 60. | 3.4% | Grundy, TN / 14,262 |
| 61. | 3.4% | Weakley, TN / 33,389 |
| 62. | 3.4% | Marshall, TN / 29,297 |
| 63. | 3.3% | Crockett, TN / 14,408 |
| 64. | 3.2% | Pickett, TN / 4,803 |
| 65. | 3.1% | Hickman, TN / 23,670 |
| 66. | 3.1% | Claiborne, TN / 31,081 |
| 67. | 3.0% | Warren, TN / 39,915 |
| 68. | 3.0% | Carter, TN / 58,955 |
| 68. | 3.0% | Macon, TN / 21,708 |
| 70. | 3.0% | Grainger, TN / 22,549 |
| 71. | 2.9% | Van Buren, TN / 5,423 |
| 72. | 2.9% | Henderson, TN / 26,687 |
| 73. | 2.9% | Gibson, TN / 48,586 |
| 74. | 2.9% | Benton, TN / 16,130 |
| 75. | 2.9% | Hardin, TN / 26,093 |
| 76. | 2.8% | Campbell, TN / 40,646 |
| 77. | 2.8% | Henry, TN / 31,567 |
| 78. | 2.8% | Houston, TN / 8,041 |
| 79. | 2.7% | Stewart, TN / 13,078 |
| 80. | 2.4% | Perry, TN / 7,694 |
| 81. | 2.4% | Obion, TN / 31,610 |
| 82. | 2.3% | Clay, TN / 7,937 |
| 83. | 2.3% | Scott, TN / 21,852 |
| 84. | 2.1% | Dyer, TN / 37,698 |
| 85. | 2.0% | Unicoi, TN / 17,686 |
| 86. | 1.9% | Lauderdale, TN / 26,568 |
| 87. | 1.6% | Lewis, TN / 11,466 |
| 88. | 1.5% | Carroll, TN / 28,686 |
| 89. | 1.4% | Morgan, TN / 19,294 |
| 90. | 1.3% | Jackson, TN / 10,896 |
| 91. | 1.2% | Decatur, TN / 11,472 |
| 92. | 1.1% | Mcnairy, TN / 25,436 |
| 93. | 0.9% | Haywood, TN / 19,155 |
| 94. | 0.7% | Hancock, TN / 6,633 |
| 95. | 0.1% | Lake, TN / 7,404 |
Please note that we only rank locations with 'Percentage of Houses with a Value of $300K - $500K' data. The rank above might not be a complete list. Locations without 'Percentage of Houses with a Value of $300K - $500K' 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.