Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Block Group / Population |
| 1. | $64,722 | UT0211107012 / 4,224 |
| 2. | $61,250 | UT0011002001 / 350 |
| 3. | $60,786 | UT0211102004 / 2,080 |
| 4. | $59,076 | UT0211101003 / 1,233 |
| 5. | $54,076 | UT0211107021 / 900 |
| 6. | $53,333 | UT0011002002 / 780 |
| 7. | $50,759 | UT0211102003 / 2,434 |
| 8. | $49,596 | UT0211104004 / 1,477 |
| 9. | $49,109 | UT0532702001 / 881 |
| 10. | $47,917 | UT0170003002 / 989 |
| 11. | $47,054 | UT0532701002 / 925 |
| 12. | $46,667 | UT0011001002 / 1,245 |
| 13. | $46,116 | UT0211104002 / 1,404 |
| 14. | $45,938 | UT0532701003 / 1,495 |
| 15. | $45,417 | UT0211107022 / 2,865 |
| 16. | $44,135 | UT0211105002 / 1,718 |
| 17. | $43,667 | UT0011002003 / 1,647 |
| 18. | $43,036 | UT0211103001 / 1,610 |
| 19. | $42,955 | UT0211105001 / 2,111 |
| 20. | $42,337 | UT0211103002 / 1,597 |
| 21. | $41,956 | UT0211106003 / 3,023 |
| 22. | $41,278 | UT0211101002 / 1,810 |
| 23. | $41,042 | UT0532702002 / 1,670 |
| 24. | $40,975 | UT0170003001 / 1,254 |
| 25. | $40,625 | UT0211102002 / 1,251 |
| 26. | $38,788 | UT0211107011 / 1,202 |
| 27. | $38,197 | UT0211105003 / 3,615 |
| 28. | $37,750 | UT0211104003 / 870 |
| 29. | $36,029 | UT0211106002 / 1,045 |
| 30. | $35,833 | UT0211101001 / 436 |
| 31. | $34,211 | UT0211102001 / 1,575 |
| 32. | $34,000 | UT0211107013 / 839 |
| 33. | $33,438 | UT0319601001 / 715 |
| 34. | $33,173 | UT0011001001 / 937 |
| 35. | $31,983 | UT0211104001 / 1,124 |
| 36. | $30,327 | UT0211101004 / 307 |
| 37. | $29,844 | UT0211106004 / 911 |
| 38. | $26,024 | UT0011001003 / 1,472 |
| 39. | $23,875 | UT0211105004 / 1,370 |
| 40. | $19,250 | UT0211106001 / 1,408 |
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.