A total of 44 results found. Show Results on Map.
Rank | Percentage of Population Divorced Female Age 15 or Older ▼ | County / Population |
1. | 18.3% | Boundary, ID / 10,748 |
2. | 17.3% | Lemhi, ID / 7,818 |
3. | 16.9% | Gem, ID / 16,355 |
4. | 15.6% | Idaho, ID / 15,286 |
5. | 15.5% | Nez Perce, ID / 38,691 |
6. | 15.2% | Kootenai, ID / 133,461 |
7. | 14.5% | Blaine, ID / 21,775 |
8. | 14.1% | Shoshone, ID / 12,794 |
9. | 14.1% | Bonner, ID / 40,878 |
10. | 14.0% | Adams, ID / 3,520 |
11. | 13.8% | Ada, ID / 368,791 |
12. | 13.7% | Payette, ID / 22,534 |
13. | 13.4% | Twin Falls, ID / 72,578 |
13. | 13.4% | Canyon, ID / 176,820 |
15. | 11.9% | Bonneville, ID / 96,238 |
16. | 11.9% | Jerome, ID / 20,142 |
17. | 11.9% | Benewah, ID / 9,246 |
18. | 11.8% | Washington, ID / 10,011 |
19. | 11.7% | Clearwater, ID / 8,192 |
20. | 11.6% | Oneida, ID / 4,148 |
21. | 11.5% | Boise, ID / 7,467 |
22. | 11.0% | Minidoka, ID / 18,800 |
23. | 11.0% | Owyhee, ID / 10,995 |
24. | 11.0% | Bannock, ID / 80,428 |
25. | 10.6% | Gooding, ID / 14,320 |
26. | 10.3% | Teton, ID / 8,422 |
27. | 10.2% | Butte, ID / 2,769 |
28. | 10.2% | Valley, ID / 8,667 |
29. | 10.0% | Elmore, ID / 28,791 |
30. | 9.6% | Bingham, ID / 43,635 |
31. | 9.3% | Lewis, ID / 3,645 |
32. | 8.9% | Lincoln, ID / 4,533 |
33. | 8.9% | Cassia, ID / 21,154 |
34. | 8.2% | Latah, ID / 37,511 |
35. | 8.2% | Camas, ID / 1,040 |
36. | 8.0% | Jefferson, ID / 22,892 |
37. | 7.3% | Bear Lake, ID / 5,859 |
38. | 7.2% | Franklin, ID / 12,272 |
39. | 6.6% | Fremont, ID / 12,537 |
40. | 6.3% | Power, ID / 7,689 |
41. | 6.1% | Caribou, ID / 6,888 |
42. | 5.0% | Custer, ID / 4,129 |
43. | 4.3% | Madison, ID / 37,120 |
44. | 3.4% | Clark, ID / 984 |
Please note that we only rank locations with 'Percentage of Population Divorced Female Age 15 or Older' data. The rank above might not be a complete list. Locations without 'Percentage of Population Divorced Female 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.