Local Data Search
A total of 92 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Tract / Population |
| 1. | $75,154 | WI141011500 / 6,210 |
| 2. | $73,939 | WI021970900 / 4,422 |
| 3. | $73,299 | WI097960701 / 5,473 |
| 4. | $71,653 | WI025013200 / 8,624 |
| 5. | $67,321 | WI021970800 / 5,613 |
| 6. | $65,021 | WI097960702 / 3,199 |
| 7. | $64,178 | WI025013100 / 4,421 |
| 8. | $61,078 | WI111000200 / 4,847 |
| 9. | $60,556 | WI097960600 / 5,222 |
| 10. | $60,125 | WI021970600 / 4,907 |
| 11. | $59,417 | WI021971000 / 4,120 |
| 12. | $58,500 | WI111001100 / 4,110 |
| 13. | $57,400 | WI021970700 / 3,930 |
| 14. | $56,696 | WI081950200 / 4,794 |
| 15. | $56,667 | WI021970200 / 5,791 |
| 16. | $56,489 | WI021970100 / 4,301 |
| 17. | $55,887 | WI097961300 / 5,170 |
| 18. | $55,504 | WI141010900 / 3,970 |
| 19. | $55,428 | WI111000500 / 3,293 |
| 20. | $54,919 | WI081950900 / 5,543 |
| 21. | $54,777 | WI111000600 / 6,592 |
| 22. | $54,444 | WI111000401 / 5,288 |
| 23. | $53,773 | WI081950100 / 4,421 |
| 24. | $53,640 | WI137960600 / 2,224 |
| 25. | $53,295 | WI047100500 / 3,031 |
| 26. | $52,500 | WI111000800 / 3,689 |
| 27. | $52,153 | WI141010100 / 4,616 |
| 28. | $52,054 | WI141011600 / 5,168 |
| 29. | $51,703 | WI047100600 / 3,952 |
| 30. | $51,563 | WI111000402 / 3,424 |
| 31. | $51,149 | WI141011100 / 3,505 |
| 32. | $51,138 | WI111000900 / 4,520 |
| 33. | $50,694 | WI111001001 / 6,810 |
| 34. | $50,655 | WI097961200 / 5,965 |
| 35. | $50,347 | WI103970200 / 5,037 |
| 36. | $50,192 | WI111000700 / 2,957 |
| 37. | $50,172 | WI057100700 / 3,982 |
| 38. | $50,128 | WI077960400 / 2,649 |
| 39. | $49,617 | WI001950100 / 3,045 |
| 40. | $49,360 | WI057100200 / 3,718 |
| 41. | $49,119 | WI081950500 / 5,948 |
| 42. | $48,521 | WI097960800 / 5,525 |
| 43. | $47,961 | WI103970300 / 2,984 |
| 44. | $47,780 | WI135100600 / 4,811 |
| 45. | $47,500 | WI137960100 / 3,025 |
| 46. | $47,389 | WI021970300 / 3,662 |
| 47. | $47,148 | WI081950800 / 4,161 |
| 48. | $47,088 | WI081950700 / 4,656 |
| 49. | $47,026 | WI141010800 / 2,760 |
| 50. | $46,250 | WI137960200 / 4,275 |
| 51. | $45,548 | WI021970500 / 4,311 |
| 52. | $45,484 | WI057100500 / 4,288 |
| 53. | $45,343 | WI047100300 / 3,161 |
| 54. | $45,313 | WI001950700 / 3,386 |
| 55. | $45,292 | WI057100300 / 3,272 |
| 56. | $44,938 | WI141011000 / 5,613 |
| 56. | $44,938 | WI057100600 / 3,386 |
| 58. | $44,767 | WI111000300 / 6,419 |
| 59. | $44,764 | WI077960500 / 3,644 |
| 60. | $44,717 | WI111000100 / 6,361 |
| 61. | $44,571 | WI077960100 / 2,765 |
| 62. | $44,338 | WI077960300 / 3,765 |
| 63. | $44,100 | WI057100100 / 2,873 |
| 64. | $43,046 | WI097961100 / 6,190 |
| 65. | $42,550 | WI141011300 / 4,268 |
| 66. | $42,525 | WI057100400 / 5,214 |
| 67. | $42,356 | WI123960100 / 4,345 |
| 68. | $42,143 | WI137960400 / 3,387 |
| 69. | $41,750 | WI077960200 / 2,598 |
| 70. | $41,645 | WI141011700 / 4,769 |
| 71. | $41,310 | WI103970100 / 2,658 |
| 72. | $41,161 | WI141011400 / 5,457 |
| 73. | $41,087 | WI097960900 / 3,088 |
| 74. | $41,033 | WI001950501 / 1,509 |
| 75. | $40,991 | WI001950201 / 1,612 |
| 76. | $39,792 | WI081950400 / 4,599 |
| 77. | $39,406 | WI123960200 / 4,202 |
| 78. | $38,085 | WI001950502 / 4,007 |
| 79. | $38,026 | WI001950202 / 2,700 |
| 80. | $37,946 | WI137960700 / 4,424 |
| 81. | $37,357 | WI137960300 / 3,017 |
| 82. | $37,105 | WI097960400 / 6,862 |
| 83. | $37,074 | WI137960800 / 4,279 |
| 84. | $36,859 | WI053960100 / 3,674 |
| 85. | $35,438 | WI097961000 / 2,718 |
| 86. | $34,688 | WI081950600 / 4,052 |
| 87. | $33,750 | WI111001002 / 2,647 |
| 88. | $33,654 | WI021970400 / 6,496 |
| 89. | $32,385 | WI141011200 / 4,026 |
| 90. | $32,105 | WI001950400 / 4,785 |
| 91. | $28,690 | WI103970400 / 3,081 |
| 92. | $27,391 | WI097960300 / 4,093 |
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.