A total of 44 results found. Show Results on Map.
Rank | Percentage of Renters Paying $2000 or More ▼ | County / Population |
1. | 3.7% | Boone, IN / 54,796 |
2. | 3.6% | Monroe, IN / 134,442 |
3. | 3.6% | Hamilton, IN / 261,244 |
4. | 3.4% | Wells, IN / 27,744 |
5. | 3.1% | Harrison, IN / 38,616 |
6. | 1.9% | Hendricks, IN / 140,028 |
7. | 1.9% | Posey, IN / 26,100 |
8. | 1.6% | Orange, IN / 19,820 |
9. | 1.6% | Warrick, IN / 58,393 |
10. | 1.6% | Knox, IN / 38,425 |
11. | 1.1% | Bartholomew, IN / 75,855 |
12. | 1.1% | Kosciusko, IN / 76,982 |
13. | 1.0% | St Joseph, IN / 266,522 |
14. | 1.0% | Delaware, IN / 117,344 |
15. | 1.0% | Vanderburgh, IN / 178,298 |
16. | 0.9% | Johnson, IN / 135,994 |
17. | 0.9% | Porter, IN / 162,026 |
18. | 0.8% | Elkhart, IN / 196,855 |
19. | 0.8% | Wabash, IN / 33,225 |
20. | 0.8% | Tippecanoe, IN / 168,635 |
21. | 0.7% | Grant, IN / 70,176 |
22. | 0.7% | Warren, IN / 8,563 |
23. | 0.7% | Marion, IN / 890,976 |
24. | 0.7% | Vigo, IN / 107,151 |
25. | 0.6% | Allen, IN / 351,332 |
26. | 0.5% | Lake, IN / 494,417 |
26. | 0.5% | Clark, IN / 107,381 |
28. | 0.5% | Randolph, IN / 26,262 |
29. | 0.4% | Spencer, IN / 20,977 |
29. | 0.4% | Adams, IN / 34,162 |
31. | 0.3% | Shelby, IN / 44,237 |
32. | 0.3% | Howard, IN / 83,326 |
32. | 0.3% | Jefferson, IN / 32,393 |
34. | 0.3% | Morgan, IN / 68,654 |
35. | 0.3% | Madison, IN / 131,444 |
36. | 0.3% | Henry, IN / 48,921 |
37. | 0.2% | Vermillion, IN / 16,412 |
38. | 0.2% | Dearborn, IN / 49,580 |
39. | 0.2% | Marshall, IN / 46,976 |
39. | 0.2% | Floyd, IN / 73,594 |
41. | 0.1% | Jasper, IN / 33,055 |
42. | 0.1% | Wayne, IN / 69,187 |
43. | 0.1% | Putnam, IN / 38,048 |
44. | 0.1% | Jackson, IN / 41,902 |
Please note that we only rank locations with 'Percentage of Renters Paying $2000 or More' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $2000 or More' 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.