Local Data Search
A total of 39 results found. Show Results on Map.
| Rank | Median Two or More Race Household Income ▼ | County / Population |
| 1. | $145,288 | Fremont, ID / 12,537 |
| 2. | $97,936 | Boise, ID / 7,467 |
| 3. | $70,720 | Madison, ID / 37,120 |
| 4. | $51,889 | Minidoka, ID / 18,800 |
| 5. | $48,125 | Bingham, ID / 43,635 |
| 6. | $46,528 | Adams, ID / 3,520 |
| 7. | $44,375 | Custer, ID / 4,129 |
| 8. | $42,292 | Caribou, ID / 6,888 |
| 9. | $41,402 | Blaine, ID / 21,775 |
| 10. | $41,389 | Boundary, ID / 10,748 |
| 11. | $40,813 | Cassia, ID / 21,154 |
| 12. | $40,625 | Clearwater, ID / 8,192 |
| 13. | $40,320 | Ada, ID / 368,791 |
| 14. | $40,125 | Gooding, ID / 14,320 |
| 15. | $39,922 | Elmore, ID / 28,791 |
| 16. | $39,821 | Kootenai, ID / 133,461 |
| 17. | $38,828 | Teton, ID / 8,422 |
| 18. | $38,281 | Lemhi, ID / 7,818 |
| 19. | $38,036 | Owyhee, ID / 10,995 |
| 20. | $38,000 | Lewis, ID / 3,645 |
| 21. | $37,308 | Jerome, ID / 20,142 |
| 22. | $37,300 | Bannock, ID / 80,428 |
| 23. | $37,250 | Bonner, ID / 40,878 |
| 24. | $36,442 | Jefferson, ID / 22,892 |
| 25. | $36,250 | Canyon, ID / 176,820 |
| 26. | $31,384 | Shoshone, ID / 12,794 |
| 27. | $31,250 | Payette, ID / 22,534 |
| 28. | $30,455 | Nez Perce, ID / 38,691 |
| 29. | $30,000 | Franklin, ID / 12,272 |
| 30. | $29,250 | Benewah, ID / 9,246 |
| 31. | $26,837 | Idaho, ID / 15,286 |
| 32. | $26,507 | Twin Falls, ID / 72,578 |
| 33. | $26,250 | Bonneville, ID / 96,238 |
| 34. | $25,221 | Latah, ID / 37,511 |
| 35. | $22,500 | Valley, ID / 8,667 |
| 36. | $17,500 | Gem, ID / 16,355 |
| 37. | $14,559 | Lincoln, ID / 4,533 |
| 38. | $10,500 | Butte, ID / 2,769 |
| 39. | $2,499 | Washington, ID / 10,011 |
Please note that we only rank locations with 'Median Two or More Race Household Income' data. The rank above might not be a complete list. Locations without 'Median Two or More Race 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.