Local Data Search
A total of 44 results found. Show Results on Map.
| Rank | Male Median Age ▲ | County / Population |
| 1. | 22.70 | Madison, ID / 37,120 |
| 2. | 25.00 | Latah, ID / 37,511 |
| 3. | 28.50 | Elmore, ID / 28,791 |
| 4. | 28.70 | Jefferson, ID / 22,892 |
| 5. | 29.20 | Bannock, ID / 80,428 |
| 6. | 30.00 | Canyon, ID / 176,820 |
| 7. | 30.10 | Franklin, ID / 12,272 |
| 8. | 30.40 | Bonneville, ID / 96,238 |
| 8. | 30.40 | Bingham, ID / 43,635 |
| 10. | 31.00 | Cassia, ID / 21,154 |
| 11. | 31.50 | Fremont, ID / 12,537 |
| 12. | 32.50 | Jerome, ID / 20,142 |
| 13. | 33.00 | Minidoka, ID / 18,800 |
| 14. | 33.40 | Ada, ID / 368,791 |
| 15. | 33.50 | Twin Falls, ID / 72,578 |
| 15. | 33.50 | Teton, ID / 8,422 |
| 17. | 33.70 | Gooding, ID / 14,320 |
| 18. | 34.40 | Owyhee, ID / 10,995 |
| 19. | 34.60 | Power, ID / 7,689 |
| 20. | 34.80 | Payette, ID / 22,534 |
| 21. | 35.60 | Oneida, ID / 4,148 |
| 22. | 35.90 | Lincoln, ID / 4,533 |
| 23. | 37.00 | Kootenai, ID / 133,461 |
| 24. | 37.20 | Camas, ID / 1,040 |
| 25. | 38.10 | Caribou, ID / 6,888 |
| 25. | 38.10 | Blaine, ID / 21,775 |
| 27. | 38.90 | Nez Perce, ID / 38,691 |
| 28. | 39.50 | Bear Lake, ID / 5,859 |
| 29. | 39.60 | Clark, ID / 984 |
| 30. | 41.20 | Gem, ID / 16,355 |
| 30. | 41.20 | Washington, ID / 10,011 |
| 32. | 41.50 | Boundary, ID / 10,748 |
| 33. | 42.60 | Custer, ID / 4,129 |
| 34. | 43.00 | Benewah, ID / 9,246 |
| 35. | 43.50 | Bonner, ID / 40,878 |
| 36. | 43.90 | Shoshone, ID / 12,794 |
| 37. | 44.30 | Valley, ID / 8,667 |
| 38. | 44.90 | Butte, ID / 2,769 |
| 39. | 45.50 | Idaho, ID / 15,286 |
| 40. | 46.20 | Clearwater, ID / 8,192 |
| 41. | 46.30 | Boise, ID / 7,467 |
| 42. | 46.60 | Adams, ID / 3,520 |
| 43. | 47.60 | Lewis, ID / 3,645 |
| 44. | 48.00 | Lemhi, ID / 7,818 |
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.