Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Percentage of Houses without a Mortgage where Total Holding Costs 40% or More of Owner Income ▼ | County / Population |
| 1. | 12.5% | Crawford, IN / 10,702 |
| 2. | 12.0% | Pike, IN / 12,849 |
| 3. | 11.8% | Brown, IN / 15,181 |
| 4. | 10.7% | Marshall, IN / 47,045 |
| 5. | 10.5% | Starke, IN / 23,310 |
| 6. | 10.4% | Fayette, IN / 24,220 |
| 7. | 9.9% | Pulaski, IN / 13,395 |
| 8. | 9.6% | Union, IN / 7,449 |
| 9. | 9.5% | Fulton, IN / 20,762 |
| 10. | 9.3% | Porter, IN / 164,386 |
| 11. | 9.2% | Newton, IN / 14,199 |
| 12. | 9.1% | Marion, IN / 904,535 |
| 13. | 9.0% | Washington, IN / 28,162 |
| 14. | 8.8% | Shelby, IN / 44,435 |
| 14. | 8.8% | Switzerland, IN / 10,509 |
| 14. | 8.8% | Owen, IN / 21,583 |
| 17. | 8.8% | Lake, IN / 495,230 |
| 18. | 8.6% | Madison, IN / 131,244 |
| 19. | 8.5% | Jennings, IN / 28,373 |
| 20. | 8.3% | Kosciusko, IN / 77,328 |
| 21. | 8.2% | Johnson, IN / 140,033 |
| 22. | 8.1% | Hendricks, IN / 145,880 |
| 23. | 8.0% | Henry, IN / 49,381 |
| 23. | 8.0% | Greene, IN / 33,032 |
| 25. | 7.9% | Vermillion, IN / 16,224 |
| 26. | 7.9% | Spencer, IN / 20,948 |
| 27. | 7.8% | Clay, IN / 26,908 |
| 28. | 7.7% | Boone, IN / 56,823 |
| 29. | 7.7% | Lawrence, IN / 46,131 |
| 30. | 7.6% | Vigo, IN / 107,805 |
| 31. | 7.4% | Scott, IN / 24,044 |
| 32. | 7.4% | Jefferson, IN / 32,501 |
| 33. | 7.1% | Elkhart, IN / 198,214 |
| 34. | 7.1% | Vanderburgh, IN / 179,610 |
| 35. | 7.1% | Sullivan, IN / 21,379 |
| 36. | 7.1% | Ripley, IN / 28,702 |
| 36. | 7.1% | Monroe, IN / 138,048 |
| 38. | 7.0% | Warren, IN / 8,490 |
| 39. | 7.0% | Clinton, IN / 33,179 |
| 40. | 6.9% | Decatur, IN / 25,772 |
| 41. | 6.8% | La Porte, IN / 111,335 |
| 42. | 6.7% | Morgan, IN / 69,033 |
| 43. | 6.7% | Blackford, IN / 12,742 |
| 44. | 6.7% | Floyd, IN / 74,601 |
| 45. | 6.6% | White, IN / 24,612 |
| 46. | 6.6% | Martin, IN / 10,300 |
| 47. | 6.5% | Dearborn, IN / 49,904 |
| 48. | 6.5% | Knox, IN / 38,392 |
| 48. | 6.5% | Clark, IN / 110,100 |
| 50. | 6.5% | Jay, IN / 21,353 |
| 51. | 6.5% | Wayne, IN / 68,797 |
| 52. | 6.5% | Carroll, IN / 20,105 |
| 53. | 6.4% | Adams, IN / 34,343 |
| 54. | 6.3% | Putnam, IN / 37,995 |
| 55. | 6.3% | Orange, IN / 19,828 |
| 56. | 6.2% | Grant, IN / 69,886 |
| 57. | 6.1% | Harrison, IN / 39,102 |
| 58. | 6.1% | Posey, IN / 25,840 |
| 59. | 6.1% | Howard, IN / 82,914 |
| 60. | 6.0% | St Joseph, IN / 266,785 |
| 61. | 6.0% | De Kalb, IN / 42,218 |
| 61. | 6.0% | Benton, IN / 8,816 |
| 63. | 5.9% | Parke, IN / 17,251 |
| 63. | 5.9% | Lagrange, IN / 37,284 |
| 65. | 5.9% | Randolph, IN / 26,101 |
| 66. | 5.8% | Delaware, IN / 117,459 |
| 67. | 5.8% | Jackson, IN / 42,414 |
| 68. | 5.6% | Hancock, IN / 69,778 |
| 69. | 5.5% | Franklin, IN / 23,108 |
| 70. | 5.5% | Rush, IN / 17,349 |
| 71. | 5.4% | Steuben, IN / 34,116 |
| 72. | 5.4% | Wells, IN / 27,677 |
| 73. | 5.4% | Huntington, IN / 37,144 |
| 74. | 5.2% | Miami, IN / 36,850 |
| 75. | 5.1% | Tippecanoe, IN / 173,317 |
| 75. | 5.1% | Hamilton, IN / 276,098 |
| 77. | 5.0% | Wabash, IN / 32,804 |
| 78. | 4.9% | Gibson, IN / 33,437 |
| 79. | 4.9% | Noble, IN / 47,547 |
| 80. | 4.9% | Cass, IN / 38,875 |
| 81. | 4.9% | Jasper, IN / 33,369 |
| 82. | 4.7% | Bartholomew, IN / 77,297 |
| 83. | 4.7% | Warrick, IN / 59,643 |
| 84. | 4.7% | Ohio, IN / 6,093 |
| 85. | 4.6% | Fountain, IN / 17,212 |
| 86. | 4.2% | Tipton, IN / 15,917 |
| 87. | 4.1% | Whitley, IN / 33,234 |
| 88. | 4.1% | Allen, IN / 355,940 |
| 89. | 3.8% | Daviess, IN / 31,604 |
| 90. | 3.6% | Dubois, IN / 41,995 |
| 91. | 3.0% | Perry, IN / 19,408 |
| 92. | 2.7% | Montgomery, IN / 38,207 |
Please note that we only rank locations with 'Percentage of Houses without a Mortgage where Total Holding Costs 40% or More of Owner Income' data. The rank above might not be a complete list. Locations without 'Percentage of Houses without a Mortgage where Total Holding Costs 40% or More of Owner Income' 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.