Local Data Search
A total of 44 results found. Show Results on Map.
| Rank | Male Median Age ▲ | County / Population |
| 1. | 23.30 | Madison, ID / 36,413 |
| 2. | 26.60 | Latah, ID / 36,645 |
| 3. | 28.60 | Elmore, ID / 26,669 |
| 4. | 29.60 | Jefferson, ID / 24,523 |
| 5. | 30.20 | Franklin, ID / 12,497 |
| 6. | 30.30 | Canyon, ID / 182,723 |
| 6. | 30.30 | Bannock, ID / 80,701 |
| 8. | 30.70 | Bonneville, ID / 100,213 |
| 8. | 30.70 | Bingham, ID / 44,496 |
| 10. | 30.90 | Jerome, ID / 21,282 |
| 11. | 31.90 | Cassia, ID / 22,109 |
| 12. | 32.60 | Fremont, ID / 13,062 |
| 13. | 33.40 | Minidoka, ID / 19,524 |
| 14. | 33.50 | Teton, ID / 9,413 |
| 15. | 33.70 | Ada, ID / 380,718 |
| 16. | 33.90 | Twin Falls, ID / 74,929 |
| 17. | 34.10 | Gooding, ID / 15,140 |
| 18. | 34.30 | Owyhee, ID / 11,389 |
| 19. | 34.60 | Camas, ID / 1,216 |
| 19. | 34.60 | Lincoln, ID / 5,021 |
| 21. | 34.70 | Power, ID / 7,633 |
| 22. | 36.10 | Payette, ID / 22,451 |
| 23. | 37.00 | Oneida, ID / 4,212 |
| 24. | 37.40 | Kootenai, ID / 134,851 |
| 25. | 37.70 | Caribou, ID / 6,900 |
| 26. | 38.50 | Blaine, ID / 21,329 |
| 27. | 38.70 | Nez Perce, ID / 38,886 |
| 28. | 39.80 | Custer, ID / 4,277 |
| 29. | 40.80 | Bear Lake, ID / 6,026 |
| 30. | 41.30 | Boundary, ID / 10,792 |
| 31. | 41.50 | Washington, ID / 10,105 |
| 32. | 41.60 | Gem, ID / 16,778 |
| 33. | 43.50 | Benewah, ID / 9,302 |
| 34. | 44.30 | Bonner, ID / 40,711 |
| 35. | 44.50 | Shoshone, ID / 12,917 |
| 36. | 44.90 | Valley, ID / 9,846 |
| 37. | 46.60 | Idaho, ID / 15,947 |
| 38. | 47.00 | Boise, ID / 7,122 |
| 39. | 47.10 | Clearwater, ID / 8,766 |
| 40. | 47.30 | Lewis, ID / 3,761 |
| 41. | 47.40 | Clark, ID / 857 |
| 42. | 47.70 | Butte, ID / 2,842 |
| 43. | 48.40 | Adams, ID / 3,942 |
| 44. | 48.80 | Lemhi, ID / 7,861 |
Please note that we only rank locations with 'Male Median Age' data. The rank above might not be a complete list. Locations without 'Male Median Age' 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.