A total of 44 results found. Show Results on Map.
Rank | Percentage of Population Divorced Male Age 15 or Older ▼ | County / Population |
1. | 24.9% | Clark, ID / 857 |
2. | 16.2% | Custer, ID / 4,277 |
3. | 16.1% | Oneida, ID / 4,212 |
4. | 13.3% | Butte, ID / 2,842 |
5. | 13.2% | Washington, ID / 10,105 |
6. | 12.9% | Shoshone, ID / 12,917 |
7. | 12.2% | Lewis, ID / 3,761 |
8. | 12.2% | Minidoka, ID / 19,524 |
9. | 11.7% | Bear Lake, ID / 6,026 |
10. | 11.7% | Payette, ID / 22,451 |
11. | 11.5% | Nez Perce, ID / 38,886 |
12. | 11.3% | Idaho, ID / 15,947 |
13. | 10.7% | Caribou, ID / 6,900 |
14. | 10.3% | Gooding, ID / 15,140 |
15. | 9.9% | Gem, ID / 16,778 |
16. | 9.9% | Lemhi, ID / 7,861 |
17. | 9.6% | Twin Falls, ID / 74,929 |
18. | 9.1% | Bingham, ID / 44,496 |
19. | 9.1% | Bonner, ID / 40,711 |
20. | 9.0% | Cassia, ID / 22,109 |
21. | 8.7% | Lincoln, ID / 5,021 |
22. | 8.4% | Clearwater, ID / 8,766 |
23. | 8.3% | Bannock, ID / 80,701 |
24. | 8.3% | Bonneville, ID / 100,213 |
25. | 8.1% | Kootenai, ID / 134,851 |
26. | 7.9% | Boundary, ID / 10,792 |
27. | 7.9% | Power, ID / 7,633 |
28. | 7.8% | Benewah, ID / 9,302 |
29. | 7.5% | Franklin, ID / 12,497 |
30. | 7.4% | Canyon, ID / 182,723 |
31. | 7.3% | Jerome, ID / 21,282 |
32. | 7.1% | Fremont, ID / 13,062 |
33. | 6.9% | Owyhee, ID / 11,389 |
34. | 6.9% | Adams, ID / 3,942 |
34. | 6.9% | Ada, ID / 380,718 |
36. | 6.6% | Camas, ID / 1,216 |
37. | 6.0% | Elmore, ID / 26,669 |
38. | 5.7% | Latah, ID / 36,645 |
39. | 5.4% | Valley, ID / 9,846 |
40. | 5.2% | Jefferson, ID / 24,523 |
41. | 4.7% | Blaine, ID / 21,329 |
42. | 4.3% | Boise, ID / 7,122 |
43. | 3.9% | Madison, ID / 36,413 |
44. | 2.8% | Teton, ID / 9,413 |
Please note that we only rank locations with 'Percentage of Population Divorced Male Age 15 or Older' data. The rank above might not be a complete list. Locations without 'Percentage of Population Divorced Male Age 15 or Older' 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.