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. | $206,300 | MN169670800 / 7,436 |
| 3. | $188,300 | WI063010600 / 3,137 |
| 4. | $185,800 | WI111000900 / 4,520 |
| 5. | $179,900 | WI063010202 / 6,575 |
| 6. | $176,100 | WI063010700 / 5,204 |
| 7. | $171,100 | MN055020200 / 3,547 |
| 8. | $168,700 | MN169670300 / 6,508 |
| 9. | $167,100 | WI063010800 / 3,189 |
| 10. | $165,900 | WI063010201 / 8,912 |
| 11. | $164,700 | WI063000600 / 2,051 |
| 12. | $163,900 | WI121100700 / 4,946 |
| 13. | $162,500 | MN055020100 / 5,819 |
| 14. | $161,400 | WI063000800 / 3,165 |
| 15. | $161,000 | WI063010402 / 8,867 |
| 16. | $159,100 | WI103970200 / 5,037 |
| 17. | $157,300 | WI063010203 / 1,659 |
| 18. | $156,700 | MN169670500 / 5,829 |
| 19. | $153,100 | WI063000700 / 4,430 |
| 20. | $152,600 | WI123960600 / 4,536 |
| 20. | $152,600 | WI081950100 / 4,421 |
| 22. | $151,000 | WI081950200 / 4,794 |
| 23. | $150,700 | WI063010500 / 5,449 |
| 24. | $150,600 | WI011960500 / 3,279 |
| 25. | $149,100 | WI081950800 / 4,161 |
| 26. | $148,800 | WI063010101 / 5,332 |
| 27. | $147,800 | WI057100700 / 3,982 |
| 28. | $146,700 | MN169670600 / 3,771 |
| 29. | $146,300 | WI123960500 / 3,453 |
| 30. | $145,300 | MN169670200 / 3,034 |
| 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. | $134,100 | WI063000400 / 5,302 |
| 40. | $132,700 | MN055020300 / 2,560 |
| 41. | $131,800 | WI063010102 / 4,448 |
| 42. | $131,300 | WI019950800 / 3,199 |
| 43. | $129,900 | WI103970100 / 2,658 |
| 44. | $129,000 | WI063001101 / 2,186 |
| 45. | $128,600 | WI123960200 / 4,202 |
| 46. | $128,300 | WI053960400 / 4,270 |
| 47. | $127,900 | WI057100300 / 3,272 |
| 48. | $126,200 | WI053960500 / 4,905 |
| 49. | $125,200 | WI141010900 / 3,970 |
| 50. | $124,700 | WI057100200 / 3,718 |
| 51. | $124,200 | WI121100300 / 2,364 |
| 52. | $124,000 | MN055020500 / 3,388 |
| 53. | $123,900 | MN055020900 / 3,912 |
| 54. | $122,400 | WI023960200 / 2,480 |
| 55. | $121,900 | MN169670400 / 4,521 |
| 56. | $121,600 | WI081950500 / 5,948 |
| 57. | $121,200 | MN169670700 / 3,720 |
| 58. | $121,000 | WI001950201 / 1,612 |
| 59. | $120,300 | WI141010800 / 2,760 |
| 60. | $120,100 | WI121100100 / 3,363 |
| 61. | $119,700 | WI121100600 / 3,959 |
| 62. | $118,700 | WI063001102 / 4,099 |
| 63. | $118,400 | WI057100100 / 2,873 |
| 64. | $117,900 | WI121100500 / 2,935 |
| 65. | $117,500 | WI053960200 / 3,169 |
| 66. | $116,500 | WI053960300 / 4,266 |
| 67. | $116,200 | WI123960100 / 4,345 |
| 68. | $115,400 | WI023960100 / 2,681 |
| 69. | $115,200 | WI121100400 / 4,086 |
| 70. | $113,700 | WI019950600 / 4,901 |
| 71. | $113,000 | WI063000500 / 4,736 |
| 72. | $111,500 | WI081950300 / 5,879 |
| 73. | $110,100 | WI063000300 / 2,379 |
| 74. | $109,700 | WI123960400 / 5,007 |
| 75. | $109,200 | WI103970300 / 2,984 |
| 76. | $108,300 | WI053960100 / 3,674 |
| 77. | $107,700 | WI063001000 / 3,930 |
| 78. | $105,500 | WI063000100 / 5,035 |
| 79. | $103,900 | WI057100400 / 5,214 |
| 79. | $103,900 | WI081950400 / 4,599 |
| 81. | $101,100 | IA005960100 / 1,925 |
| 82. | $100,900 | WI057100500 / 4,288 |
| 83. | $100,600 | WI063000900 / 4,018 |
| 84. | $99,900 | WI063000200 / 4,737 |
| 85. | $99,700 | WI103970400 / 3,081 |
| 86. | $98,500 | WI019950700 / 4,063 |
| 87. | $97,600 | WI111001002 / 2,647 |
| 88. | $97,100 | WI057100600 / 3,386 |
| 89. | $95,600 | WI001950501 / 1,509 |
| 90. | $89,600 | WI081950600 / 4,052 |
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.