Local Data Search
A total of 43 results found. Show Results on Map.
| Rank | Occupied House with no Vehicle ▼ | County / Population |
| 1. | 6.9% | Latah, ID / 36,645 |
| 2. | 6.3% | Nez Perce, ID / 38,886 |
| 3. | 6.2% | Lewis, ID / 3,761 |
| 4. | 6.0% | Lemhi, ID / 7,861 |
| 5. | 5.0% | Bannock, ID / 80,701 |
| 6. | 4.9% | Shoshone, ID / 12,917 |
| 7. | 4.7% | Bonneville, ID / 100,213 |
| 8. | 4.3% | Ada, ID / 380,718 |
| 9. | 4.3% | Jerome, ID / 21,282 |
| 10. | 4.2% | Canyon, ID / 182,723 |
| 11. | 4.2% | Owyhee, ID / 11,389 |
| 12. | 4.2% | Twin Falls, ID / 74,929 |
| 13. | 4.0% | Payette, ID / 22,451 |
| 14. | 3.9% | Bingham, ID / 44,496 |
| 15. | 3.8% | Cassia, ID / 22,109 |
| 16. | 3.5% | Clearwater, ID / 8,766 |
| 17. | 3.4% | Bonner, ID / 40,711 |
| 18. | 3.2% | Washington, ID / 10,105 |
| 19. | 3.2% | Bear Lake, ID / 6,026 |
| 20. | 3.2% | Benewah, ID / 9,302 |
| 21. | 3.2% | Gem, ID / 16,778 |
| 22. | 3.1% | Kootenai, ID / 134,851 |
| 23. | 3.1% | Minidoka, ID / 19,524 |
| 24. | 3.1% | Jefferson, ID / 24,523 |
| 25. | 2.7% | Idaho, ID / 15,947 |
| 26. | 2.6% | Boise, ID / 7,122 |
| 27. | 2.5% | Madison, ID / 36,413 |
| 28. | 2.4% | Oneida, ID / 4,212 |
| 29. | 2.4% | Adams, ID / 3,942 |
| 29. | 2.4% | Custer, ID / 4,277 |
| 31. | 2.2% | Franklin, ID / 12,497 |
| 32. | 2.2% | Boundary, ID / 10,792 |
| 33. | 2.1% | Gooding, ID / 15,140 |
| 34. | 2.0% | Caribou, ID / 6,900 |
| 35. | 1.9% | Power, ID / 7,633 |
| 36. | 1.8% | Fremont, ID / 13,062 |
| 37. | 1.8% | Blaine, ID / 21,329 |
| 38. | 1.6% | Elmore, ID / 26,669 |
| 39. | 1.4% | Camas, ID / 1,216 |
| 40. | 1.3% | Valley, ID / 9,846 |
| 41. | 1.2% | Butte, ID / 2,842 |
| 42. | 0.9% | Lincoln, ID / 5,021 |
| 43. | 0.7% | Teton, ID / 9,413 |
Please note that we only rank locations with 'Occupied House with no Vehicle' data. The rank above might not be a complete list. Locations without 'Occupied House with no Vehicle' 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.