Local Data Search
A total of 95 results found. Show Results on Map.
| Rank | Population in Poverty Percentage ▼ | County / Population |
| 1. | 31.5% | Grundy, TN / 13,910 |
| 2. | 30.3% | Hancock, TN / 6,782 |
| 3. | 28.7% | Lake, TN / 7,827 |
| 4. | 26.6% | Haywood, TN / 19,010 |
| 5. | 26.3% | Cocke, TN / 35,473 |
| 6. | 25.2% | Meigs, TN / 11,581 |
| 7. | 25.0% | Fentress, TN / 17,777 |
| 8. | 24.6% | Van Buren, TN / 5,503 |
| 9. | 24.5% | Scott, TN / 22,171 |
| 10. | 24.2% | Perry, TN / 7,778 |
| 11. | 24.1% | Macon, TN / 21,934 |
| 12. | 24.1% | Lauderdale, TN / 27,745 |
| 13. | 23.8% | Johnson, TN / 18,190 |
| 14. | 23.5% | Carter, TN / 57,710 |
| 15. | 23.2% | Campbell, TN / 40,623 |
| 16. | 23.1% | Bledsoe, TN / 12,946 |
| 17. | 22.5% | Putnam, TN / 70,570 |
| 18. | 21.9% | Union, TN / 19,088 |
| 19. | 21.8% | Sequatchie, TN / 13,814 |
| 20. | 21.7% | Jackson, TN / 11,491 |
| 20. | 21.7% | Bedford, TN / 44,172 |
| 22. | 21.7% | Weakley, TN / 34,557 |
| 23. | 21.1% | Mcnairy, TN / 25,760 |
| 24. | 21.1% | Warren, TN / 39,539 |
| 25. | 20.8% | Hardin, TN / 25,995 |
| 26. | 20.3% | Decatur, TN / 11,716 |
| 27. | 20.3% | Dyer, TN / 38,174 |
| 28. | 20.0% | Hardeman, TN / 27,655 |
| 29. | 19.7% | Shelby, TN / 922,696 |
| 30. | 19.7% | Greene, TN / 68,172 |
| 31. | 19.6% | Carroll, TN / 28,644 |
| 32. | 19.4% | Houston, TN / 8,286 |
| 33. | 19.4% | Claiborne, TN / 31,901 |
| 34. | 19.2% | Morgan, TN / 21,664 |
| 35. | 19.2% | Overton, TN / 21,777 |
| 36. | 19.2% | Dekalb, TN / 18,569 |
| 37. | 19.2% | Rhea, TN / 31,215 |
| 38. | 19.1% | White, TN / 25,460 |
| 39. | 19.1% | Gibson, TN / 49,015 |
| 40. | 18.8% | Unicoi, TN / 18,257 |
| 40. | 18.8% | Monroe, TN / 44,015 |
| 42. | 18.7% | Marion, TN / 28,123 |
| 43. | 18.7% | Crockett, TN / 14,524 |
| 44. | 18.7% | Grainger, TN / 22,419 |
| 45. | 18.7% | Clay, TN / 7,888 |
| 46. | 18.6% | Madison, TN / 97,378 |
| 47. | 18.4% | Polk, TN / 16,690 |
| 48. | 18.3% | Lewis, TN / 12,003 |
| 49. | 18.3% | Hawkins, TN / 56,562 |
| 50. | 18.2% | Jefferson, TN / 50,600 |
| 51. | 17.7% | Smith, TN / 19,035 |
| 52. | 17.7% | Hamblen, TN / 61,857 |
| 53. | 17.6% | Benton, TN / 16,456 |
| 54. | 17.5% | Coffee, TN / 52,344 |
| 55. | 17.4% | Lawrence, TN / 41,319 |
| 56. | 17.4% | Davidson, TN / 612,884 |
| 57. | 17.3% | Mcminn, TN / 52,075 |
| 58. | 17.2% | Henry, TN / 32,042 |
| 59. | 17.1% | Giles, TN / 29,558 |
| 60. | 17.1% | Stewart, TN / 13,133 |
| 61. | 17.1% | Pickett, TN / 5,072 |
| 62. | 16.9% | Washington, TN / 119,768 |
| 63. | 16.7% | Tipton, TN / 59,689 |
| 64. | 16.5% | Anderson, TN / 74,257 |
| 65. | 16.4% | Marshall, TN / 29,902 |
| 66. | 16.4% | Henderson, TN / 27,518 |
| 67. | 16.0% | Hickman, TN / 24,506 |
| 67. | 16.0% | Bradley, TN / 97,192 |
| 69. | 15.9% | Sullivan, TN / 155,815 |
| 70. | 15.9% | Lincoln, TN / 32,885 |
| 71. | 15.8% | Cumberland, TN / 54,977 |
| 72. | 15.5% | Wayne, TN / 17,016 |
| 73. | 15.1% | Chester, TN / 16,793 |
| 74. | 14.9% | Obion, TN / 31,905 |
| 75. | 14.7% | Hamilton, TN / 328,960 |
| 76. | 14.6% | Montgomery, TN / 163,603 |
| 77. | 14.5% | Moore, TN / 6,266 |
| 78. | 14.0% | Dickson, TN / 48,712 |
| 79. | 13.9% | Loudon, TN / 47,102 |
| 80. | 13.7% | Cannon, TN / 13,631 |
| 81. | 13.7% | Knox, TN / 423,748 |
| 82. | 13.5% | Sevier, TN / 87,507 |
| 83. | 13.4% | Roane, TN / 54,156 |
| 84. | 13.3% | Maury, TN / 79,029 |
| 85. | 13.2% | Franklin, TN / 41,054 |
| 86. | 13.0% | Fayette, TN / 37,458 |
| 87. | 12.9% | Humphreys, TN / 18,416 |
| 88. | 12.7% | Rutherford, TN / 250,517 |
| 89. | 12.0% | Robertson, TN / 64,347 |
| 90. | 11.8% | Blount, TN / 121,140 |
| 91. | 10.1% | Sumner, TN / 155,592 |
| 92. | 9.7% | Trousdale, TN / 7,751 |
| 93. | 9.3% | Cheatham, TN / 38,809 |
| 94. | 7.6% | Wilson, TN / 109,563 |
| 95. | 5.2% | Williamson, TN / 174,260 |
Please note that we only rank locations with 'Population in Poverty Percentage' data. The rank above might not be a complete list. Locations without 'Population in Poverty Percentage' 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.