A total of 44 results found. Show Results on Map.
Rank | Mean Household Income ▼ | County / Population |
1. | $79,253 | Blaine, ID / 21,329 |
2. | $72,123 | Ada, ID / 380,718 |
3. | $64,839 | Bonneville, ID / 100,213 |
4. | $62,747 | Valley, ID / 9,846 |
5. | $61,276 | Teton, ID / 9,413 |
6. | $60,205 | Jefferson, ID / 24,523 |
7. | $60,163 | Kootenai, ID / 134,851 |
8. | $56,568 | Bingham, ID / 44,496 |
9. | $56,525 | Boise, ID / 7,122 |
10. | $56,463 | Bannock, ID / 80,701 |
11. | $56,165 | Bonner, ID / 40,711 |
12. | $55,983 | Nez Perce, ID / 38,886 |
13. | $55,294 | Camas, ID / 1,216 |
14. | $54,949 | Franklin, ID / 12,497 |
15. | $54,076 | Elmore, ID / 26,669 |
16. | $53,605 | Caribou, ID / 6,900 |
17. | $53,175 | Fremont, ID / 13,062 |
18. | $53,129 | Adams, ID / 3,942 |
19. | $53,071 | Canyon, ID / 182,723 |
20. | $52,737 | Lincoln, ID / 5,021 |
21. | $52,229 | Clark, ID / 857 |
22. | $51,890 | Twin Falls, ID / 74,929 |
23. | $51,627 | Gem, ID / 16,778 |
24. | $51,488 | Power, ID / 7,633 |
25. | $51,253 | Clearwater, ID / 8,766 |
26. | $51,061 | Cassia, ID / 22,109 |
27. | $50,235 | Custer, ID / 4,277 |
28. | $50,004 | Washington, ID / 10,105 |
29. | $49,669 | Payette, ID / 22,451 |
30. | $49,322 | Butte, ID / 2,842 |
31. | $49,053 | Bear Lake, ID / 6,026 |
32. | $48,853 | Latah, ID / 36,645 |
33. | $48,780 | Madison, ID / 36,413 |
34. | $48,699 | Minidoka, ID / 19,524 |
35. | $48,072 | Jerome, ID / 21,282 |
36. | $47,461 | Lemhi, ID / 7,861 |
37. | $47,202 | Oneida, ID / 4,212 |
38. | $46,925 | Gooding, ID / 15,140 |
39. | $46,888 | Owyhee, ID / 11,389 |
40. | $44,951 | Benewah, ID / 9,302 |
41. | $44,642 | Idaho, ID / 15,947 |
42. | $44,642 | Boundary, ID / 10,792 |
43. | $42,720 | Shoshone, ID / 12,917 |
44. | $42,127 | Lewis, ID / 3,761 |
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.