Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Tract / Population |
| 1. | $80,302 | MO019001202 / 5,299 |
| 2. | $73,324 | MO019001805 / 8,601 |
| 3. | $69,083 | MO019000600 / 4,840 |
| 4. | $67,372 | MO019001201 / 5,661 |
| 5. | $65,547 | MO019001702 / 4,243 |
| 6. | $63,963 | MO019001104 / 9,895 |
| 7. | $61,748 | MO107090602 / 4,065 |
| 8. | $60,375 | MO019001901 / 4,333 |
| 9. | $58,594 | MO177080100 / 3,652 |
| 10. | $58,032 | MO135385100 / 3,986 |
| 11. | $57,572 | MO159480200 / 5,661 |
| 12. | $55,581 | MO101960100 / 8,170 |
| 13. | $55,439 | MO019001803 / 4,226 |
| 14. | $54,590 | MO019001103 / 6,892 |
| 15. | $51,943 | MO101960500 / 7,561 |
| 16. | $51,716 | MO107090100 / 5,408 |
| 17. | $51,660 | MO117480200 / 3,497 |
| 18. | $51,352 | MO101960300 / 7,743 |
| 19. | $50,877 | MO019001400 / 11,027 |
| 20. | $50,847 | MO107090500 / 3,862 |
| 21. | $50,395 | MO033960200 / 2,818 |
| 22. | $50,101 | MO101960900 / 5,152 |
| 23. | $49,125 | MO175490400 / 3,230 |
| 24. | $48,682 | MO195090200 / 2,474 |
| 25. | $48,500 | MO033960100 / 2,559 |
| 26. | $48,366 | MO107090601 / 6,136 |
| 27. | $48,075 | MO141470100 / 6,706 |
| 28. | $47,917 | MO159480100 / 3,847 |
| 29. | $47,821 | MO195090800 / 2,299 |
| 30. | $47,361 | MO041470300 / 2,834 |
| 31. | $47,172 | MO019001504 / 8,690 |
| 32. | $45,988 | MO175490600 / 6,291 |
| 33. | $45,400 | MO089960100 / 3,111 |
| 34. | $44,800 | MO195090700 / 2,785 |
| 35. | $44,391 | MO053950500 / 5,156 |
| 36. | $43,947 | MO089960200 / 3,330 |
| 37. | $43,750 | MO101960700 / 5,116 |
| 38. | $43,693 | MO107090300 / 1,519 |
| 39. | $43,519 | MO195090500 / 4,287 |
| 40. | $43,333 | MO041470100 / 2,373 |
| 41. | $43,281 | MO053950100 / 2,912 |
| 42. | $43,255 | MO053950200 / 3,051 |
| 43. | $42,881 | MO107090400 / 6,628 |
| 44. | $42,534 | MO159480400 / 4,324 |
| 45. | $42,304 | MO115490300 / 3,201 |
| 46. | $42,250 | MO135385400 / 3,793 |
| 47. | $42,035 | MO175490100 / 3,464 |
| 48. | $41,115 | MO195090400 / 2,803 |
| 49. | $40,684 | MO175490200 / 3,543 |
| 50. | $40,486 | MO019001001 / 3,901 |
| 51. | $40,333 | MO015460100 / 3,350 |
| 52. | $40,161 | MO159480300 / 4,027 |
| 53. | $40,076 | MO053950300 / 4,019 |
| 54. | $39,679 | MO089960300 / 3,679 |
| 55. | $39,067 | MO107090200 / 5,695 |
| 56. | $38,167 | MO053950400 / 2,445 |
| 57. | $38,038 | MO159481000 / 4,737 |
| 58. | $37,813 | MO141470200 / 3,536 |
| 59. | $37,643 | MO159480700 / 3,434 |
| 60. | $37,500 | MO019001503 / 3,330 |
| 61. | $37,358 | MO101980000 / 2,700 |
| 62. | $37,140 | MO177080200 / 6,499 |
| 63. | $36,389 | MO041470200 / 2,664 |
| 64. | $36,278 | MO159480500 / 3,010 |
| 65. | $36,250 | MO019000700 / 3,983 |
| 66. | $35,976 | MO115490500 / 2,812 |
| 67. | $34,939 | MO135385200 / 4,154 |
| 68. | $34,049 | MO033960300 / 4,108 |
| 69. | $33,750 | MO083950100 / 3,057 |
| 70. | $33,654 | MO159480600 / 2,370 |
| 71. | $33,211 | MO159481100 / 4,010 |
| 72. | $32,719 | MO195090600 / 2,636 |
| 73. | $31,951 | MO195090100 / 2,687 |
| 74. | $31,742 | MO115490400 / 2,833 |
| 75. | $31,674 | MO019001300 / 3,318 |
| 76. | $29,299 | MO175490500 / 4,281 |
| 77. | $28,787 | MO015460200 / 2,688 |
| 78. | $28,445 | MO159480800 / 3,238 |
| 79. | $28,125 | MO195090300 / 3,155 |
| 80. | $26,690 | MO019001502 / 6,391 |
| 81. | $26,659 | MO101960600 / 3,682 |
| 82. | $26,296 | MO019000900 / 1,690 |
| 83. | $26,165 | MO019001101 / 7,852 |
| 84. | $24,968 | MO175490300 / 4,686 |
| 85. | $21,660 | MO019000300 / 3,525 |
| 86. | $21,387 | MO159480900 / 2,929 |
| 87. | $19,975 | MO101960400 / 6,474 |
| 88. | $19,917 | MO019000200 / 2,035 |
| 89. | $18,725 | MO019002200 / 6,879 |
| 90. | $17,609 | MO117480500 / 1,648 |
| 91. | $17,563 | MO019002100 / 2,783 |
| 92. | $12,415 | MO019000500 / 3,300 |
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.