A total of 44 results found. Show Results on Map.
Rank | Percentage of Population Never Married Male Age 15 or Older ▼ | County / Population |
1. | 45.5% | Latah, ID / 36,645 |
2. | 42.6% | Madison, ID / 36,413 |
3. | 34.5% | Camas, ID / 1,216 |
4. | 31.1% | Blaine, ID / 21,329 |
5. | 30.4% | Bannock, ID / 80,701 |
6. | 30.1% | Nez Perce, ID / 38,886 |
7. | 29.9% | Ada, ID / 380,718 |
8. | 27.8% | Jerome, ID / 21,282 |
9. | 27.7% | Twin Falls, ID / 74,929 |
10. | 27.5% | Canyon, ID / 182,723 |
11. | 27.3% | Elmore, ID / 26,669 |
12. | 27.2% | Bingham, ID / 44,496 |
13. | 26.9% | Teton, ID / 9,413 |
14. | 26.8% | Gooding, ID / 15,140 |
15. | 26.8% | Owyhee, ID / 11,389 |
16. | 26.0% | Minidoka, ID / 19,524 |
17. | 25.2% | Bonneville, ID / 100,213 |
18. | 25.0% | Lincoln, ID / 5,021 |
19. | 24.8% | Kootenai, ID / 134,851 |
20. | 24.4% | Lewis, ID / 3,761 |
21. | 24.3% | Payette, ID / 22,451 |
22. | 24.0% | Shoshone, ID / 12,917 |
23. | 23.9% | Cassia, ID / 22,109 |
24. | 23.6% | Boundary, ID / 10,792 |
25. | 23.4% | Idaho, ID / 15,947 |
25. | 23.4% | Fremont, ID / 13,062 |
27. | 23.2% | Clearwater, ID / 8,766 |
28. | 23.1% | Franklin, ID / 12,497 |
29. | 23.0% | Custer, ID / 4,277 |
30. | 22.3% | Power, ID / 7,633 |
31. | 21.8% | Jefferson, ID / 24,523 |
32. | 21.5% | Adams, ID / 3,942 |
33. | 21.1% | Benewah, ID / 9,302 |
34. | 20.7% | Gem, ID / 16,778 |
35. | 20.5% | Clark, ID / 857 |
36. | 20.4% | Bonner, ID / 40,711 |
37. | 19.2% | Oneida, ID / 4,212 |
38. | 18.6% | Boise, ID / 7,122 |
39. | 18.5% | Valley, ID / 9,846 |
40. | 18.2% | Washington, ID / 10,105 |
41. | 17.7% | Lemhi, ID / 7,861 |
42. | 16.1% | Caribou, ID / 6,900 |
43. | 14.9% | Bear Lake, ID / 6,026 |
44. | 14.4% | Butte, ID / 2,842 |
Please note that we only rank locations with 'Percentage of Population Never Married Male Age 15 or Older' data. The rank above might not be a complete list. Locations without 'Percentage of Population Never Married 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.