A total of 43 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Tract / Population |
1. | $208,300 | ND035011100 / 4,857 |
2. | $184,800 | ND035010801 / 4,260 |
3. | $182,100 | ND035010804 / 4,451 |
4. | $174,300 | MN119020300 / 2,287 |
5. | $154,200 | ND035011700 / 5,403 |
6. | $153,100 | ND035011200 / 5,839 |
7. | $147,100 | ND035010900 / 1,746 |
8. | $145,400 | MN119020100 / 4,742 |
9. | $144,500 | ND035010600 / 2,168 |
10. | $140,700 | MN119020400 / 2,203 |
11. | $140,500 | ND035010300 / 4,734 |
12. | $124,000 | ND035011000 / 2,589 |
13. | $121,900 | ND035010400 / 6,124 |
14. | $121,100 | ND035010200 / 4,371 |
15. | $117,400 | MN119020500 / 2,814 |
16. | $114,800 | ND035010803 / 5,409 |
17. | $114,200 | ND035010700 / 1,609 |
18. | $106,300 | MN119020200 / 1,576 |
19. | $106,100 | ND035010100 / 3,287 |
20. | $106,000 | MN113090300 / 1,865 |
21. | $99,500 | ND035011400 / 2,540 |
22. | $97,700 | MN119020800 / 2,205 |
23. | $97,600 | MN089080100 / 2,338 |
24. | $96,400 | MN119020600 / 5,300 |
25. | $93,800 | MN113090500 / 3,781 |
26. | $92,900 | ND035012000 / 2,873 |
27. | $89,400 | MN089080200 / 2,216 |
28. | $86,000 | MN125010200 / 2,322 |
29. | $85,300 | MN089080400 / 2,822 |
30. | $84,700 | ND097970100 / 2,378 |
31. | $84,100 | ND099957800 / 1,517 |
32. | $81,400 | MN135970500 / 1,921 |
33. | $80,100 | MN113090400 / 3,309 |
34. | $80,000 | ND099958000 / 2,620 |
35. | $77,300 | MN113090200 / 2,638 |
36. | $72,600 | MN119020700 / 2,689 |
37. | $70,900 | MN125010100 / 1,772 |
38. | $69,300 | MN069090200 / 2,257 |
39. | $68,400 | MN089080300 / 2,204 |
40. | $66,600 | ND067950500 / 1,540 |
41. | $60,500 | MN069090100 / 2,363 |
42. | $57,400 | ND099958100 / 2,474 |
43. | $42,100 | ND099957900 / 1,681 |
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.