A total of 44 results found. Show Results on Map.
Rank | Mean Household Income ▼ | County / Population |
1. | $79,975 | Blaine, ID / 21,323 |
2. | $71,277 | Ada, ID / 394,961 |
3. | $65,991 | Bonneville, ID / 104,177 |
4. | $63,573 | Teton, ID / 10,007 |
5. | $62,210 | Jefferson, ID / 25,940 |
6. | $61,934 | Kootenai, ID / 139,083 |
7. | $61,867 | Valley, ID / 9,793 |
8. | $60,283 | Caribou, ID / 6,872 |
9. | $57,188 | Franklin, ID / 12,739 |
10. | $56,989 | Bannock, ID / 82,584 |
11. | $56,755 | Nez Perce, ID / 39,226 |
12. | $56,521 | Bingham, ID / 45,312 |
13. | $55,543 | Fremont, ID / 13,123 |
14. | $54,735 | Bonner, ID / 40,806 |
15. | $54,627 | Boise, ID / 7,014 |
16. | $54,492 | Minidoka, ID / 19,909 |
17. | $53,999 | Latah, ID / 37,365 |
18. | $53,898 | Twin Falls, ID / 77,122 |
19. | $53,897 | Camas, ID / 1,276 |
20. | $53,698 | Elmore, ID / 26,655 |
21. | $52,973 | Cassia, ID / 22,813 |
22. | $52,586 | Power, ID / 7,717 |
23. | $52,508 | Butte, ID / 2,828 |
24. | $51,905 | Canyon, ID / 189,396 |
25. | $51,875 | Custer, ID / 4,338 |
26. | $51,555 | Clearwater, ID / 8,679 |
27. | $51,255 | Lincoln, ID / 5,167 |
28. | $50,893 | Madison, ID / 37,311 |
29. | $50,339 | Gooding, ID / 15,327 |
30. | $50,148 | Gem, ID / 16,768 |
31. | $49,906 | Payette, ID / 22,614 |
32. | $49,581 | Lemhi, ID / 7,892 |
33. | $49,151 | Jerome, ID / 22,140 |
34. | $48,968 | Washington, ID / 10,144 |
35. | $48,438 | Oneida, ID / 4,236 |
36. | $48,383 | Bear Lake, ID / 5,977 |
37. | $47,246 | Clark, ID / 780 |
38. | $46,765 | Adams, ID / 3,976 |
39. | $46,558 | Benewah, ID / 9,247 |
40. | $46,351 | Shoshone, ID / 12,797 |
41. | $45,611 | Idaho, ID / 16,215 |
42. | $45,491 | Boundary, ID / 10,857 |
43. | $44,832 | Lewis, ID / 3,818 |
44. | $44,292 | Owyhee, ID / 11,479 |
Please note that we only rank locations with 'Mean Household Income' data. The rank above might not be a complete list. Locations without 'Mean Household Income' 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.