Local Data Search
A total of 91 results found. Show Results on Map.
| Rank | House Median Value ▲ | City / Population |
| 1. | $24,800 | Middle Village, WI / 206 |
| 2. | $46,700 | Leopolis, WI / 47 |
| 3. | $49,800 | Keshena, WI / 1,069 |
| 4. | $61,500 | Wabeno, WI / 560 |
| 5. | $62,300 | Neopit, WI / 605 |
| 6. | $65,600 | Goodman, WI / 216 |
| 7. | $69,500 | Tilleda, WI / 52 |
| 8. | $71,300 | Mattoon, WI / 358 |
| 9. | $75,900 | Suring, WI / 518 |
| 10. | $76,300 | Menominee, MI / 8,689 |
| 11. | $76,900 | White Lake, WI / 327 |
| 12. | $77,600 | Antigo, WI / 8,312 |
| 13. | $78,200 | Marinette, WI / 11,095 |
| 14. | $79,200 | Elderon, WI / 170 |
| 15. | $80,400 | Amberg, WI / 232 |
| 16. | $81,200 | Tigerton, WI / 615 |
| 17. | $81,400 | Nichols, WI / 131 |
| 18. | $81,700 | Green Valley, WI / 152 |
| 19. | $82,100 | Marion, WI / 1,362 |
| 20. | $82,500 | Wausaukee, WI / 624 |
| 21. | $82,600 | Laona, WI / 599 |
| 22. | $83,100 | Eland, WI / 215 |
| 23. | $85,200 | Gresham, WI / 574 |
| 24. | $85,500 | Aniwa, WI / 288 |
| 25. | $85,900 | Pound, WI / 393 |
| 26. | $86,900 | Bowler, WI / 253 |
| 27. | $87,400 | Caroline, WI / 203 |
| 28. | $88,500 | Oconto, WI / 4,600 |
| 29. | $91,300 | Birnamwood, WI / 794 |
| 30. | $91,500 | Clintonville, WI / 4,618 |
| 31. | $92,700 | Bear Creek, WI / 454 |
| 31. | $92,700 | Gillett, WI / 1,325 |
| 33. | $94,300 | Wittenberg, WI / 1,178 |
| 34. | $95,200 | Coleman, WI / 721 |
| 35. | $97,700 | Manawa, WI / 1,301 |
| 36. | $97,900 | Algoma, WI / 3,216 |
| 37. | $98,800 | Thornton, WI / 71 |
| 38. | $99,300 | Iola, WI / 1,374 |
| 39. | $99,400 | Oconto Falls, WI / 2,907 |
| 40. | $100,000 | Shawano, WI / 9,216 |
| 41. | $101,500 | Embarrass, WI / 364 |
| 42. | $104,700 | Crivitz, WI / 834 |
| 43. | $105,600 | Peshtigo, WI / 3,455 |
| 44. | $107,000 | Big Falls, WI / 120 |
| 45. | $107,500 | Ogdensburg, WI / 233 |
| 46. | $110,900 | Weyauwega, WI / 1,975 |
| 47. | $111,200 | Lena, WI / 469 |
| 48. | $114,500 | Krakow, WI / 356 |
| 49. | $116,200 | Shiocton, WI / 755 |
| 50. | $116,600 | New London, WI / 7,150 |
| 51. | $116,700 | Forest Junction, WI / 585 |
| 51. | $116,700 | Greenleaf, WI / 535 |
| 53. | $117,000 | Angelica, WI / 115 |
| 54. | $117,200 | Bonduel, WI / 1,520 |
| 55. | $120,100 | Menasha, WI / 17,033 |
| 56. | $120,500 | Navarino, WI / 210 |
| 57. | $120,700 | Cecil, WI / 759 |
| 58. | $121,100 | Pella, WI / 152 |
| 59. | $124,300 | Black Creek, WI / 1,413 |
| 60. | $126,100 | Abrams, WI / 338 |
| 61. | $128,900 | Forestville, WI / 508 |
| 62. | $130,700 | Legend Lake, WI / 1,799 |
| 63. | $130,800 | Pulaski, WI / 3,768 |
| 63. | $130,800 | Kimberly, WI / 6,432 |
| 65. | $132,100 | Green Bay, WI / 103,960 |
| 66. | $134,300 | Denmark, WI / 2,049 |
| 67. | $136,500 | Northport, WI / 516 |
| 68. | $137,400 | Kaukauna, WI / 15,075 |
| 69. | $138,300 | Appleton, WI / 72,620 |
| 70. | $139,700 | Mountain, WI / 224 |
| 71. | $139,900 | Little Chute, WI / 10,493 |
| 72. | $142,300 | Seymour, WI / 3,445 |
| 73. | $144,100 | Casco, WI / 579 |
| 74. | $146,300 | Hortonville, WI / 2,649 |
| 75. | $154,900 | Luxemburg, WI / 2,421 |
| 76. | $156,100 | Allouez, WI / 14,246 |
| 77. | $157,900 | Ashwaubenon, WI / 17,108 |
| 78. | $158,300 | Pulcifer, WI / 164 |
| 79. | $165,100 | De Pere, WI / 23,225 |
| 80. | $168,800 | Lakewood, WI / 312 |
| 81. | $169,100 | Combined Locks, WI / 3,185 |
| 82. | $170,900 | Bellevue, WI / 14,053 |
| 83. | $173,400 | Wrightstown, WI / 2,702 |
| 84. | $176,700 | Howard, WI / 16,735 |
| 85. | $187,500 | Townsend, WI / 89 |
| 86. | $202,000 | Sobieski, WI / 281 |
| 87. | $207,500 | Dale, WI / 496 |
| 88. | $212,500 | Suamico, WI / 10,867 |
| 89. | $226,300 | Hobart, WI / 5,993 |
| 90. | $227,100 | Dyckesville, WI / 506 |
| 91. | $277,800 | Little Sturgeon, WI / 155 |
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.