A total of 44 results found. Show Results on Map.
Rank | Percentage of Population Divorced Male Age 15 or Older ▼ | County / Population |
1. | 13.5% | Washington, ID / 10,144 |
2. | 13.5% | Custer, ID / 4,338 |
3. | 12.5% | Nez Perce, ID / 39,226 |
4. | 12.4% | Butte, ID / 2,828 |
5. | 12.4% | Clark, ID / 780 |
6. | 12.2% | Lewis, ID / 3,818 |
7. | 12.0% | Lemhi, ID / 7,892 |
8. | 11.4% | Benewah, ID / 9,247 |
9. | 11.1% | Shoshone, ID / 12,797 |
10. | 10.8% | Payette, ID / 22,614 |
11. | 10.7% | Oneida, ID / 4,236 |
12. | 10.5% | Gem, ID / 16,768 |
13. | 10.4% | Valley, ID / 9,793 |
14. | 10.4% | Minidoka, ID / 19,909 |
15. | 10.2% | Caribou, ID / 6,872 |
16. | 9.8% | Twin Falls, ID / 77,122 |
17. | 9.6% | Idaho, ID / 16,215 |
18. | 9.6% | Bear Lake, ID / 5,977 |
19. | 9.5% | Bonner, ID / 40,806 |
20. | 9.4% | Owyhee, ID / 11,479 |
21. | 9.1% | Gooding, ID / 15,327 |
22. | 9.0% | Bingham, ID / 45,312 |
23. | 8.6% | Cassia, ID / 22,813 |
24. | 8.6% | Clearwater, ID / 8,679 |
25. | 8.3% | Adams, ID / 3,976 |
25. | 8.3% | Bonneville, ID / 104,177 |
27. | 8.2% | Boundary, ID / 10,857 |
28. | 8.1% | Canyon, ID / 189,396 |
29. | 7.7% | Kootenai, ID / 139,083 |
30. | 7.7% | Bannock, ID / 82,584 |
31. | 7.7% | Fremont, ID / 13,123 |
32. | 7.6% | Franklin, ID / 12,739 |
33. | 7.2% | Power, ID / 7,717 |
34. | 7.1% | Lincoln, ID / 5,167 |
35. | 6.8% | Jerome, ID / 22,140 |
36. | 6.7% | Ada, ID / 394,961 |
37. | 6.5% | Boise, ID / 7,014 |
38. | 6.1% | Elmore, ID / 26,655 |
39. | 5.6% | Latah, ID / 37,365 |
40. | 5.5% | Camas, ID / 1,276 |
41. | 5.2% | Jefferson, ID / 25,940 |
42. | 3.7% | Madison, ID / 37,311 |
43. | 3.4% | Teton, ID / 10,007 |
44. | 3.3% | Blaine, ID / 21,323 |
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.