A total of 96 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Block Group / Population |
1. | $345,900 | WI1259506001 / 1,277 |
2. | $345,600 | WI0859709002 / 690 |
3. | $321,400 | MI0539502001 / 204 |
4. | $288,900 | WI1259506003 / 1,308 |
5. | $286,900 | WI0859701011 / 563 |
6. | $278,200 | MI0539501003 / 1,513 |
7. | $277,600 | WI0859701013 / 647 |
8. | $259,800 | WI1259400001 / 1,278 |
9. | $256,800 | WI1259506002 / 1,477 |
10. | $255,100 | WI0859713001 / 1,450 |
11. | $248,000 | WI1259505004 / 1,263 |
12. | $228,300 | WI0859713002 / 664 |
13. | $221,300 | WI0859709003 / 575 |
14. | $212,900 | WI0859710021 / 1,152 |
15. | $209,900 | WI0859711002 / 829 |
16. | $208,900 | WI0859704003 / 894 |
17. | $206,700 | WI0859710022 / 753 |
17. | $206,700 | WI0859701012 / 535 |
19. | $206,200 | WI0859709001 / 1,083 |
20. | $205,800 | WI0859710011 / 401 |
21. | $199,300 | WI0859706023 / 855 |
22. | $196,400 | WI0859708003 / 429 |
23. | $195,500 | WI1259505001 / 1,411 |
24. | $194,200 | WI1259502001 / 1,263 |
25. | $193,800 | WI1259507001 / 1,207 |
26. | $184,200 | WI0859706022 / 1,003 |
27. | $183,800 | WI0859705001 / 1,629 |
28. | $181,600 | WI0859708002 / 620 |
29. | $179,700 | WI1259505002 / 1,226 |
30. | $170,200 | WI1259502002 / 1,282 |
30. | $170,200 | WI0859706011 / 1,367 |
32. | $169,400 | WI1259400002 / 2,159 |
33. | $167,200 | WI1259502003 / 1,621 |
34. | $166,200 | WI0859710023 / 550 |
35. | $165,100 | WI0859701023 / 1,094 |
36. | $164,900 | WI0859714004 / 544 |
37. | $162,300 | WI0859706012 / 549 |
38. | $161,400 | WI1259507003 / 1,252 |
39. | $161,000 | WI0859701021 / 1,622 |
40. | $159,800 | WI1259505005 / 766 |
41. | $155,600 | WI0859701022 / 1,172 |
42. | $155,000 | WI0859706021 / 1,963 |
43. | $154,300 | MI0539507001 / 416 |
44. | $152,500 | WI0371901003 / 932 |
45. | $150,000 | WI0419504002 / 1,120 |
46. | $149,300 | MI1319701002 / 609 |
47. | $145,400 | WI1259505003 / 1,200 |
48. | $145,300 | WI0419501002 / 676 |
49. | $142,300 | WI0859715003 / 1,751 |
50. | $142,100 | WI0859708001 / 910 |
51. | $141,900 | MI0710002002 / 1,124 |
52. | $133,700 | WI0859704002 / 973 |
53. | $130,000 | WI0859715002 / 506 |
54. | $129,500 | WI1259507002 / 1,760 |
55. | $124,600 | WI0419503001 / 1,259 |
56. | $123,100 | WI0859704001 / 1,199 |
57. | $123,000 | WI0859714002 / 880 |
58. | $121,000 | WI0419504001 / 1,104 |
59. | $119,200 | MI0610010002 / 365 |
60. | $115,900 | MI1319703001 / 760 |
61. | $113,800 | WI0419501001 / 662 |
62. | $111,700 | MI0710001002 / 1,718 |
63. | $101,000 | MI0539504001 / 726 |
64. | $99,800 | WI0859714003 / 654 |
65. | $96,400 | MI0710002001 / 688 |
66. | $94,600 | WI0859714001 / 1,546 |
67. | $94,300 | WI0859715001 / 1,734 |
67. | $94,300 | MI0710001001 / 869 |
69. | $92,600 | WI0419503002 / 1,558 |
70. | $92,200 | MI0710005001 / 1,339 |
71. | $91,100 | MI0130002003 / 2,488 |
71. | $91,100 | MI0539504002 / 406 |
73. | $90,800 | MI0539503001 / 676 |
74. | $89,500 | WI0371902002 / 610 |
75. | $88,300 | MI0539501001 / 504 |
76. | $87,100 | WI0859715004 / 623 |
77. | $83,300 | MI1319703002 / 1,096 |
78. | $81,800 | MI0539503002 / 559 |
79. | $76,700 | MI0539502002 / 845 |
80. | $74,000 | MI1319701001 / 1,338 |
81. | $72,200 | MI0710004001 / 1,335 |
81. | $72,200 | MI0130002001 / 1,503 |
83. | $70,500 | WI0371901002 / 1,079 |
84. | $70,000 | MI0130001004 / 930 |
85. | $68,700 | MI0539501002 / 392 |
86. | $67,000 | MI0710003002 / 1,184 |
87. | $65,400 | MI0710004002 / 1,021 |
88. | $65,300 | MI1319702002 / 1,364 |
89. | $64,000 | MI1319702003 / 558 |
90. | $63,900 | MI1319702001 / 839 |
91. | $59,700 | MI0710005002 / 1,115 |
92. | $57,900 | MI0710003001 / 1,664 |
93. | $57,000 | MI0539502004 / 545 |
94. | $45,500 | MI0539502003 / 896 |
95. | $38,900 | MI1319703003 / 412 |
96. | $32,300 | MI0539503004 / 646 |
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.