Local Data Search
A total of 90 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $236,800 | WI063010401 / 5,350 |
| 2. | $214,000 | WI111000600 / 6,592 |
| 3. | $206,300 | MN169670800 / 7,436 |
| 4. | $197,600 | WI111000500 / 3,293 |
| 5. | $188,300 | WI063010600 / 3,137 |
| 6. | $185,800 | WI111000900 / 4,520 |
| 7. | $183,000 | WI111001100 / 4,110 |
| 8. | $181,700 | WI111000200 / 4,847 |
| 9. | $179,900 | WI063010202 / 6,575 |
| 10. | $176,100 | WI063010700 / 5,204 |
| 11. | $171,100 | MN055020200 / 3,547 |
| 12. | $170,600 | WI111000800 / 3,689 |
| 13. | $167,100 | WI063010800 / 3,189 |
| 14. | $165,900 | WI063010201 / 8,912 |
| 15. | $164,700 | WI063000600 / 2,051 |
| 16. | $163,900 | WI121100700 / 4,946 |
| 17. | $162,500 | MN055020100 / 5,819 |
| 18. | $161,400 | WI063000800 / 3,165 |
| 19. | $161,000 | WI063010402 / 8,867 |
| 20. | $159,100 | WI103970200 / 5,037 |
| 21. | $157,300 | WI063010203 / 1,659 |
| 22. | $153,100 | WI063000700 / 4,430 |
| 23. | $152,600 | WI123960600 / 4,536 |
| 23. | $152,600 | WI081950100 / 4,421 |
| 25. | $151,000 | WI081950200 / 4,794 |
| 26. | $150,700 | WI063010500 / 5,449 |
| 27. | $149,100 | WI081950800 / 4,161 |
| 28. | $148,800 | WI063010101 / 5,332 |
| 29. | $147,800 | WI057100700 / 3,982 |
| 30. | $146,300 | WI123960500 / 3,453 |
| 31. | $144,600 | WI123960700 / 3,810 |
| 32. | $142,800 | WI111001001 / 6,810 |
| 33. | $142,600 | WI063010300 / 4,478 |
| 34. | $142,200 | WI063001200 / 4,151 |
| 35. | $142,000 | WI081950700 / 4,656 |
| 36. | $141,800 | WI123960300 / 4,107 |
| 37. | $141,300 | WI081950900 / 5,543 |
| 38. | $141,200 | WI121100800 / 3,552 |
| 39. | $138,900 | WI111000300 / 6,419 |
| 40. | $134,100 | WI063000400 / 5,302 |
| 41. | $131,800 | WI063010102 / 4,448 |
| 42. | $131,500 | WI023960300 / 2,454 |
| 43. | $129,900 | WI103970100 / 2,658 |
| 44. | $129,000 | WI063001101 / 2,186 |
| 45. | $128,600 | WI123960200 / 4,202 |
| 46. | $128,500 | WI049950200 / 3,209 |
| 47. | $128,300 | WI053960400 / 4,270 |
| 48. | $127,900 | WI057100300 / 3,272 |
| 49. | $126,200 | WI053960500 / 4,905 |
| 50. | $124,700 | WI057100200 / 3,718 |
| 51. | $124,000 | MN055020500 / 3,388 |
| 52. | $123,900 | MN055020900 / 3,912 |
| 53. | $122,400 | WI023960200 / 2,480 |
| 54. | $121,600 | WI081950500 / 5,948 |
| 55. | $121,000 | WI001950201 / 1,612 |
| 56. | $120,900 | IA005960200 / 2,450 |
| 56. | $120,900 | IA005960400 / 2,391 |
| 58. | $119,900 | WI103970500 / 4,445 |
| 59. | $118,700 | WI063001102 / 4,099 |
| 60. | $118,400 | WI057100100 / 2,873 |
| 61. | $116,200 | WI123960100 / 4,345 |
| 62. | $115,400 | WI023960100 / 2,681 |
| 63. | $114,900 | WI023960400 / 3,183 |
| 64. | $113,700 | WI023960600 / 3,811 |
| 65. | $113,200 | WI001950400 / 4,785 |
| 66. | $113,000 | WI063000500 / 4,736 |
| 67. | $111,500 | WI081950300 / 5,879 |
| 68. | $110,600 | WI001950502 / 4,007 |
| 69. | $110,100 | WI063000300 / 2,379 |
| 70. | $109,700 | WI123960400 / 5,007 |
| 71. | $109,200 | WI103970300 / 2,984 |
| 72. | $108,300 | WI053960100 / 3,674 |
| 73. | $107,700 | WI063001000 / 3,930 |
| 74. | $105,500 | WI063000100 / 5,035 |
| 75. | $105,000 | WI043960300 / 4,103 |
| 76. | $104,900 | WI043960100 / 3,682 |
| 77. | $103,900 | WI057100400 / 5,214 |
| 77. | $103,900 | WI081950400 / 4,599 |
| 79. | $101,100 | IA005960100 / 1,925 |
| 80. | $100,900 | WI057100500 / 4,288 |
| 81. | $100,600 | WI063000900 / 4,018 |
| 82. | $99,900 | WI063000200 / 4,737 |
| 83. | $99,700 | WI103970400 / 3,081 |
| 84. | $97,600 | WI111001002 / 2,647 |
| 85. | $97,100 | WI057100600 / 3,386 |
| 86. | $96,900 | WI023960500 / 2,192 |
| 87. | $95,600 | WI001950501 / 1,509 |
| 88. | $89,600 | WI081950600 / 4,052 |
| 89. | $86,800 | IA005960300 / 4,184 |
| 90. | $86,100 | WI043960200 / 4,260 |
Please note that we only rank locations with 'House Median Value' data. The rank above might not be a complete list. Locations without 'House Median Value' 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.