Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $292,800 | WI125950600 / 4,062 |
| 2. | $255,600 | WI085970101 / 1,745 |
| 3. | $247,300 | WI085971300 / 2,114 |
| 4. | $231,400 | WI085970900 / 2,348 |
| 5. | $224,200 | WI125940000 / 3,437 |
| 6. | $198,400 | WI085971002 / 2,455 |
| 7. | $184,900 | WI069960100 / 2,352 |
| 8. | $183,800 | WI085970500 / 1,629 |
| 9. | $180,400 | WI085971100 / 1,955 |
| 10. | $179,700 | WI125950500 / 5,866 |
| 11. | $173,800 | WI085970602 / 3,821 |
| 12. | $172,100 | WI125950200 / 4,166 |
| 13. | $167,800 | WI085971001 / 1,245 |
| 14. | $167,500 | WI085970601 / 1,916 |
| 15. | $166,100 | WI085970800 / 1,959 |
| 16. | $161,500 | WI085970102 / 3,888 |
| 17. | $160,000 | WI125950700 / 4,219 |
| 18. | $158,200 | WI085970400 / 3,066 |
| 19. | $156,800 | WI069960500 / 1,826 |
| 20. | $155,100 | MI053950100 / 2,409 |
| 21. | $151,500 | WI067960100 / 2,857 |
| 22. | $149,800 | WI041950400 / 2,689 |
| 23. | $130,700 | WI069960200 / 2,491 |
| 24. | $128,400 | WI041950100 / 1,338 |
| 25. | $123,900 | WI037190100 / 2,701 |
| 26. | $123,500 | WI037190200 / 1,886 |
| 27. | $118,100 | MI061001000 / 2,985 |
| 28. | $115,700 | WI041950300 / 2,817 |
| 29. | $113,900 | WI085971500 / 4,614 |
| 30. | $113,700 | MI071000200 / 1,812 |
| 31. | $107,600 | WI085971400 / 3,624 |
| 32. | $107,400 | MI071000100 / 2,587 |
| 33. | $94,200 | MI053950400 / 1,132 |
| 34. | $92,200 | WI041950200 / 2,690 |
| 35. | $86,500 | MI131970100 / 1,947 |
| 36. | $79,000 | MI131970300 / 2,268 |
| 37. | $71,900 | MI071000500 / 2,454 |
| 38. | $70,000 | MI071000400 / 2,356 |
| 39. | $62,700 | MI071000300 / 2,848 |
| 40. | $61,100 | MI053950200 / 2,490 |
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.