Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | Percentage of House without a Mortgage where Monthly Holding Costs $700 or More ▼ | County / Population |
| 1. | 21.4% | Blaine, ID / 21,775 |
| 2. | 9.6% | Ada, ID / 368,791 |
| 3. | 7.3% | Valley, ID / 8,667 |
| 4. | 6.6% | Fremont, ID / 12,537 |
| 5. | 6.4% | Kootenai, ID / 133,461 |
| 6. | 5.8% | Butte, ID / 2,769 |
| 7. | 5.8% | Bonner, ID / 40,878 |
| 8. | 5.4% | Clark, ID / 984 |
| 9. | 4.8% | Lewis, ID / 3,645 |
| 10. | 4.7% | Franklin, ID / 12,272 |
| 11. | 4.7% | Latah, ID / 37,511 |
| 12. | 4.7% | Madison, ID / 37,120 |
| 13. | 4.5% | Nez Perce, ID / 38,691 |
| 13. | 4.5% | Shoshone, ID / 12,794 |
| 15. | 4.2% | Minidoka, ID / 18,800 |
| 16. | 3.7% | Adams, ID / 3,520 |
| 17. | 3.6% | Benewah, ID / 9,246 |
| 18. | 3.6% | Bannock, ID / 80,428 |
| 19. | 3.6% | Teton, ID / 8,422 |
| 20. | 3.6% | Canyon, ID / 176,820 |
| 21. | 3.0% | Jerome, ID / 20,142 |
| 22. | 3.0% | Jefferson, ID / 22,892 |
| 23. | 2.9% | Gem, ID / 16,355 |
| 24. | 2.9% | Boundary, ID / 10,748 |
| 25. | 2.7% | Caribou, ID / 6,888 |
| 26. | 2.6% | Power, ID / 7,689 |
| 27. | 2.5% | Oneida, ID / 4,148 |
| 28. | 2.5% | Bonneville, ID / 96,238 |
| 29. | 2.4% | Washington, ID / 10,011 |
| 30. | 2.3% | Gooding, ID / 14,320 |
| 31. | 2.1% | Clearwater, ID / 8,192 |
| 32. | 2.0% | Twin Falls, ID / 72,578 |
| 33. | 1.7% | Idaho, ID / 15,286 |
| 34. | 1.5% | Boise, ID / 7,467 |
| 35. | 1.4% | Cassia, ID / 21,154 |
| 36. | 1.4% | Payette, ID / 22,534 |
| 37. | 1.3% | Lemhi, ID / 7,818 |
| 38. | 1.1% | Bingham, ID / 43,635 |
| 39. | 0.6% | Elmore, ID / 28,791 |
| 40. | 0.3% | Owyhee, ID / 10,995 |
Please note that we only rank locations with 'Percentage of House without a Mortgage where Monthly Holding Costs $700 or More' data. The rank above might not be a complete list. Locations without 'Percentage of House without a Mortgage where Monthly Holding Costs $700 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.