Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | Median Household Income ▼ | City / Population |
| 1. | $67,440 | Tyhee, ID / 1,033 |
| 2. | $66,250 | Clarkston, UT / 827 |
| 3. | $60,380 | Moreland, ID / 1,780 |
| 4. | $57,917 | Portage, UT / 215 |
| 5. | $56,346 | Riverside, ID / 973 |
| 6. | $54,375 | Arimo, ID / 305 |
| 7. | $52,500 | Dayton, ID / 443 |
| 8. | $51,845 | Richmond, UT / 2,640 |
| 9. | $51,298 | Inkom, ID / 849 |
| 10. | $50,900 | Lewiston, UT / 1,740 |
| 11. | $49,028 | Rockland, ID / 329 |
| 12. | $47,734 | Groveland, ID / 646 |
| 13. | $47,250 | Franklin, ID / 677 |
| 14. | $46,806 | Cornish, UT / 353 |
| 15. | $46,125 | Downey, ID / 660 |
| 16. | $45,837 | Chubbuck, ID / 13,036 |
| 17. | $45,546 | Preston, ID / 5,102 |
| 18. | $43,977 | Rockford, ID / 106 |
| 19. | $43,750 | Georgetown, ID / 345 |
| 20. | $43,056 | Soda Springs, ID / 3,056 |
| 21. | $42,708 | Bancroft, ID / 389 |
| 22. | $42,500 | Plymouth, UT / 339 |
| 23. | $42,250 | Weston, ID / 495 |
| 24. | $41,881 | Blackfoot, ID / 11,524 |
| 25. | $41,564 | Pocatello, ID / 53,258 |
| 26. | $40,714 | Paris, ID / 632 |
| 27. | $40,341 | Grace, ID / 900 |
| 28. | $40,000 | Mccammon, ID / 758 |
| 29. | $38,523 | Malad City, ID / 2,451 |
| 30. | $38,125 | Bloomington, ID / 211 |
| 31. | $37,500 | Clifton, ID / 341 |
| 32. | $36,510 | Montpelier, ID / 2,600 |
| 33. | $36,250 | Arbon Valley, ID / 686 |
| 33. | $36,250 | Lava Hot Springs, ID / 436 |
| 35. | $36,000 | Bennington, ID / 219 |
| 36. | $35,281 | American Falls, ID / 4,315 |
| 37. | $34,432 | Cove, UT / 504 |
| 38. | $34,306 | Trenton, UT / 507 |
| 39. | $34,107 | Aberdeen, ID / 2,147 |
| 40. | $32,542 | Fort Hall, ID / 2,852 |
| 41. | $21,250 | Oxford, ID / 58 |
Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median 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.