A total of 44 results found. Show Results on Map.
Rank | Percentage of Renters Paying $700-$1000 ▼ | County / Population |
1. | 42.2% | Camas, ID / 1,276 |
2. | 41.8% | Teton, ID / 10,007 |
3. | 41.4% | Lincoln, ID / 5,167 |
4. | 38.4% | Jerome, ID / 22,140 |
5. | 36.8% | Ada, ID / 394,961 |
6. | 36.1% | Kootenai, ID / 139,083 |
7. | 35.4% | Bonner, ID / 40,806 |
8. | 35.2% | Canyon, ID / 189,396 |
9. | 33.6% | Bonneville, ID / 104,177 |
10. | 32.8% | Jefferson, ID / 25,940 |
11. | 32.6% | Payette, ID / 22,614 |
12. | 31.6% | Gem, ID / 16,768 |
13. | 31.2% | Franklin, ID / 12,739 |
14. | 31.1% | Twin Falls, ID / 77,122 |
15. | 29.7% | Nez Perce, ID / 39,226 |
16. | 29.3% | Elmore, ID / 26,655 |
17. | 29.2% | Latah, ID / 37,365 |
18. | 29.1% | Minidoka, ID / 19,909 |
19. | 28.6% | Boise, ID / 7,014 |
20. | 28.5% | Blaine, ID / 21,323 |
21. | 26.9% | Shoshone, ID / 12,797 |
22. | 24.9% | Clearwater, ID / 8,679 |
23. | 24.5% | Lemhi, ID / 7,892 |
24. | 24.4% | Bingham, ID / 45,312 |
25. | 24.2% | Bannock, ID / 82,584 |
26. | 23.3% | Oneida, ID / 4,236 |
27. | 22.5% | Adams, ID / 3,976 |
28. | 21.9% | Boundary, ID / 10,857 |
29. | 21.4% | Gooding, ID / 15,327 |
30. | 21.1% | Washington, ID / 10,144 |
31. | 20.1% | Idaho, ID / 16,215 |
32. | 20.0% | Power, ID / 7,717 |
33. | 19.1% | Lewis, ID / 3,818 |
34. | 18.5% | Custer, ID / 4,338 |
35. | 18.3% | Owyhee, ID / 11,479 |
36. | 17.1% | Benewah, ID / 9,247 |
37. | 15.4% | Bear Lake, ID / 5,977 |
38. | 15.3% | Butte, ID / 2,828 |
39. | 14.3% | Fremont, ID / 13,123 |
40. | 14.3% | Valley, ID / 9,793 |
41. | 13.7% | Madison, ID / 37,311 |
42. | 11.6% | Caribou, ID / 6,872 |
43. | 10.3% | Cassia, ID / 22,813 |
44. | 5.6% | Clark, ID / 780 |
Please note that we only rank locations with 'Percentage of Renters Paying $700-$1000' data. The rank above might not be a complete list. Locations without 'Percentage of Renters Paying $700-$1000' 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.