A total of 44 results found. Show Results on Map.
Rank | $50K to $75K Household Income Percentage ▼ | County / Population |
1. | 27.0% | Teton, ID / 8,422 |
2. | 25.7% | Payette, ID / 22,534 |
3. | 24.4% | Oneida, ID / 4,148 |
4. | 24.1% | Lincoln, ID / 4,533 |
5. | 24.0% | Jefferson, ID / 22,892 |
6. | 23.9% | Boundary, ID / 10,748 |
7. | 23.6% | Valley, ID / 8,667 |
8. | 23.1% | Fremont, ID / 12,537 |
9. | 22.9% | Canyon, ID / 176,820 |
10. | 22.9% | Elmore, ID / 28,791 |
11. | 22.6% | Camas, ID / 1,040 |
12. | 22.4% | Boise, ID / 7,467 |
13. | 22.0% | Lemhi, ID / 7,818 |
13. | 22.0% | Franklin, ID / 12,272 |
15. | 21.8% | Ada, ID / 368,791 |
16. | 21.8% | Bear Lake, ID / 5,859 |
17. | 21.4% | Caribou, ID / 6,888 |
18. | 21.3% | Cassia, ID / 21,154 |
19. | 21.2% | Gem, ID / 16,355 |
20. | 21.2% | Minidoka, ID / 18,800 |
21. | 21.0% | Jerome, ID / 20,142 |
21. | 21.0% | Custer, ID / 4,129 |
21. | 21.0% | Bingham, ID / 43,635 |
24. | 21.0% | Kootenai, ID / 133,461 |
25. | 20.9% | Clark, ID / 984 |
26. | 20.8% | Bonneville, ID / 96,238 |
27. | 20.3% | Twin Falls, ID / 72,578 |
28. | 20.3% | Gooding, ID / 14,320 |
29. | 20.3% | Lewis, ID / 3,645 |
30. | 20.1% | Nez Perce, ID / 38,691 |
31. | 19.8% | Blaine, ID / 21,775 |
32. | 19.8% | Benewah, ID / 9,246 |
33. | 19.6% | Clearwater, ID / 8,192 |
34. | 19.3% | Bonner, ID / 40,878 |
35. | 19.2% | Bannock, ID / 80,428 |
36. | 19.1% | Shoshone, ID / 12,794 |
37. | 19.1% | Latah, ID / 37,511 |
38. | 17.9% | Power, ID / 7,689 |
39. | 17.0% | Washington, ID / 10,011 |
40. | 16.5% | Adams, ID / 3,520 |
41. | 16.5% | Madison, ID / 37,120 |
42. | 16.4% | Idaho, ID / 15,286 |
43. | 15.6% | Owyhee, ID / 10,995 |
44. | 11.1% | Butte, ID / 2,769 |
Please note that we only rank locations with '$50K to $75K Household Income Percentage' data. The rank above might not be a complete list. Locations without '$50K to $75K Household Income Percentage' 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.