Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▲ | City / Population |
| 1. | $50,000 | Meadowlands, MN / 119 |
| 1. | $50,000 | Kinney, MN / 131 |
| 3. | $54,800 | Keewatin, MN / 1,132 |
| 4. | $57,400 | Calumet, MN / 322 |
| 5. | $57,700 | Mckinley, MN / 44 |
| 6. | $60,900 | Bovey, MN / 768 |
| 7. | $64,300 | Buhl, MN / 891 |
| 8. | $66,200 | Hoyt Lakes, MN / 2,066 |
| 9. | $70,900 | Gilbert, MN / 1,770 |
| 10. | $71,600 | Biwabik, MN / 1,076 |
| 11. | $72,900 | Chisholm, MN / 4,954 |
| 12. | $74,200 | Babbitt, MN / 1,357 |
| 13. | $76,900 | Nashwauk, MN / 1,129 |
| 14. | $77,700 | Taconite, MN / 316 |
| 15. | $77,900 | Leonidas, MN / 80 |
| 16. | $78,100 | Aurora, MN / 1,481 |
| 17. | $78,300 | Tower, MN / 390 |
| 18. | $78,900 | Marble, MN / 680 |
| 19. | $80,100 | Eveleth, MN / 3,727 |
| 20. | $81,800 | Floodwood, MN / 487 |
| 21. | $82,800 | Iron Junction, MN / 85 |
| 22. | $83,600 | Orr, MN / 295 |
| 23. | $85,000 | Brookston, MN / 98 |
| 24. | $88,000 | Virginia, MN / 8,766 |
| 25. | $88,100 | Hibbing, MN / 16,396 |
| 26. | $92,100 | Soudan, MN / 451 |
| 27. | $92,500 | Warba, MN / 150 |
| 28. | $107,800 | Cook, MN / 591 |
| 29. | $110,300 | Mountain Iron, MN / 2,876 |
| 30. | $112,900 | Coleraine, MN / 1,946 |
| 31. | $136,200 | Proctor, MN / 3,001 |
| 32. | $140,300 | Scanlon, MN / 913 |
| 32. | $140,300 | Grand Rapids, MN / 10,762 |
| 34. | $145,300 | La Prairie, MN / 874 |
| 35. | $146,500 | Cloquet, MN / 12,019 |
| 36. | $151,300 | Duluth, MN / 86,066 |
| 37. | $156,300 | Mahnomen CDP, MN / 338 |
| 38. | $169,600 | Arnold, MN / 3,066 |
| 39. | $170,800 | Big Lake CDP, MN / 288 |
| 40. | $194,900 | Esko, MN / 1,881 |
| 41. | $199,800 | Hermantown, MN / 9,149 |
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.