Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Percentage of Houses with a Mortgage where Total Holding Costs 10% or Less of Owner Income ▼ | County / Population |
| 1. | 12.4% | Sullivan, IN / 21,520 |
| 2. | 11.9% | Martin, IN / 10,324 |
| 3. | 11.7% | Gibson, IN / 33,386 |
| 4. | 11.1% | Greene, IN / 33,084 |
| 5. | 9.9% | Blackford, IN / 12,960 |
| 6. | 9.5% | Ohio, IN / 6,067 |
| 7. | 8.9% | Posey, IN / 26,100 |
| 8. | 8.6% | Jay, IN / 21,441 |
| 8. | 8.6% | Knox, IN / 38,425 |
| 10. | 8.4% | Daviess, IN / 31,045 |
| 11. | 8.1% | Grant, IN / 70,176 |
| 12. | 7.9% | Delaware, IN / 117,344 |
| 13. | 7.7% | Warren, IN / 8,563 |
| 14. | 7.7% | Wells, IN / 27,744 |
| 15. | 7.5% | Vermillion, IN / 16,412 |
| 16. | 7.5% | St Joseph, IN / 266,522 |
| 17. | 7.5% | Howard, IN / 83,326 |
| 18. | 7.4% | Shelby, IN / 44,237 |
| 19. | 7.3% | Decatur, IN / 25,584 |
| 20. | 7.3% | Randolph, IN / 26,262 |
| 21. | 7.2% | Vigo, IN / 107,151 |
| 22. | 7.2% | Wabash, IN / 33,225 |
| 23. | 7.1% | Pulaski, IN / 13,596 |
| 24. | 6.9% | Porter, IN / 162,026 |
| 24. | 6.9% | Putnam, IN / 38,048 |
| 26. | 6.9% | Parke, IN / 17,394 |
| 27. | 6.9% | Jasper, IN / 33,055 |
| 28. | 6.7% | Spencer, IN / 20,977 |
| 29. | 6.7% | Floyd, IN / 73,594 |
| 30. | 6.6% | Boone, IN / 54,796 |
| 31. | 6.5% | Hamilton, IN / 261,244 |
| 31. | 6.5% | Dearborn, IN / 49,580 |
| 33. | 6.4% | Allen, IN / 351,332 |
| 34. | 6.4% | Tipton, IN / 16,132 |
| 35. | 6.3% | Madison, IN / 131,444 |
| 36. | 6.3% | Orange, IN / 19,820 |
| 36. | 6.3% | Cass, IN / 39,058 |
| 38. | 6.2% | Vanderburgh, IN / 178,298 |
| 39. | 6.2% | Miami, IN / 37,307 |
| 40. | 6.2% | Lagrange, IN / 36,996 |
| 41. | 6.1% | Bartholomew, IN / 75,855 |
| 41. | 6.1% | Clark, IN / 107,381 |
| 43. | 6.1% | Newton, IN / 14,300 |
| 43. | 6.1% | La Porte, IN / 110,937 |
| 45. | 6.0% | Fulton, IN / 20,684 |
| 46. | 6.0% | Dubois, IN / 41,809 |
| 47. | 6.0% | Franklin, IN / 23,194 |
| 48. | 5.9% | Owen, IN / 21,737 |
| 49. | 5.9% | Marion, IN / 890,976 |
| 50. | 5.9% | Elkhart, IN / 196,855 |
| 51. | 5.9% | Kosciusko, IN / 76,982 |
| 52. | 5.8% | Marshall, IN / 46,976 |
| 53. | 5.8% | Steuben, IN / 34,092 |
| 54. | 5.8% | Clinton, IN / 33,270 |
| 55. | 5.7% | Clay, IN / 26,983 |
| 56. | 5.7% | Warrick, IN / 58,393 |
| 56. | 5.7% | Montgomery, IN / 38,138 |
| 58. | 5.7% | Henry, IN / 48,921 |
| 59. | 5.6% | Fountain, IN / 17,329 |
| 59. | 5.6% | Whitley, IN / 32,991 |
| 61. | 5.6% | Lake, IN / 494,417 |
| 61. | 5.6% | Johnson, IN / 135,994 |
| 63. | 5.5% | Pike, IN / 12,955 |
| 64. | 5.5% | Tippecanoe, IN / 168,635 |
| 65. | 5.3% | Scott, IN / 24,109 |
| 66. | 5.3% | Rush, IN / 17,568 |
| 67. | 5.3% | Harrison, IN / 38,616 |
| 68. | 5.2% | Jefferson, IN / 32,393 |
| 69. | 5.2% | Monroe, IN / 134,442 |
| 70. | 5.2% | Huntington, IN / 37,321 |
| 71. | 5.2% | Lawrence, IN / 46,192 |
| 72. | 5.0% | Wayne, IN / 69,187 |
| 73. | 4.9% | Noble, IN / 47,513 |
| 74. | 4.8% | Jackson, IN / 41,902 |
| 75. | 4.8% | De Kalb, IN / 41,968 |
| 76. | 4.7% | Hancock, IN / 68,011 |
| 77. | 4.6% | Perry, IN / 19,316 |
| 78. | 4.5% | Hendricks, IN / 140,028 |
| 79. | 4.5% | Benton, IN / 8,820 |
| 80. | 4.4% | White, IN / 24,734 |
| 81. | 4.4% | Ripley, IN / 28,570 |
| 82. | 4.3% | Carroll, IN / 20,135 |
| 83. | 4.2% | Fayette, IN / 24,367 |
| 84. | 4.0% | Starke, IN / 23,343 |
| 85. | 4.0% | Morgan, IN / 68,654 |
| 86. | 3.9% | Adams, IN / 34,162 |
| 87. | 3.8% | Crawford, IN / 10,825 |
| 88. | 3.8% | Brown, IN / 15,271 |
| 89. | 3.7% | Jennings, IN / 28,470 |
| 90. | 3.3% | Washington, IN / 28,226 |
| 91. | 2.9% | Switzerland, IN / 10,393 |
| 92. | 2.6% | Union, IN / 7,463 |
Please note that we only rank locations with 'Percentage of Houses with a Mortgage where Total Holding Costs 10% or Less of Owner Income' data. The rank above might not be a complete list. Locations without 'Percentage of Houses with a Mortgage where Total Holding Costs 10% or Less 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.