A total of 43 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Block Group / Population |
1. | $230,100 | ID0550019001 / 2,544 |
2. | $222,400 | MT0890002002 / 1,353 |
3. | $222,100 | ID0559400003 / 670 |
4. | $215,300 | ID0799602001 / 555 |
5. | $209,700 | ID0359400002 / 1,434 |
6. | $202,600 | ID0099400004 / 821 |
7. | $195,100 | MT0890002004 / 1,752 |
8. | $184,200 | ID0799602005 / 624 |
9. | $184,000 | ID0570055001 / 963 |
10. | $178,800 | ID0359701002 / 1,069 |
11. | $175,000 | ID0799602007 / 828 |
12. | $171,700 | ID0799604002 / 921 |
13. | $171,400 | ID0799602004 / 652 |
14. | $167,700 | ID0570057001 / 833 |
15. | $164,000 | MT0619646001 / 1,234 |
16. | $160,200 | ID0099501003 / 1,699 |
17. | $146,900 | MT0890001002 / 1,197 |
18. | $146,200 | ID0799603005 / 694 |
19. | $143,700 | ID0799604005 / 932 |
20. | $141,400 | MT0619645001 / 1,377 |
21. | $140,600 | ID0570056002 / 988 |
22. | $140,000 | ID0799603001 / 547 |
23. | $137,800 | ID0799604003 / 1,106 |
24. | $136,200 | ID0359400003 / 730 |
25. | $135,700 | MT0619646002 / 941 |
26. | $125,900 | ID0799603002 / 989 |
26. | $125,900 | ID0799604001 / 684 |
28. | $123,800 | ID0570056001 / 747 |
29. | $123,400 | ID0099400002 / 871 |
30. | $121,200 | MT0890002005 / 895 |
31. | $120,800 | ID0799603003 / 693 |
32. | $117,300 | ID0359701004 / 352 |
33. | $115,500 | ID0799602003 / 709 |
34. | $114,100 | ID0099501001 / 1,641 |
35. | $110,800 | ID0799602002 / 539 |
36. | $107,900 | ID0099501002 / 949 |
37. | $98,600 | ID0799604006 / 829 |
38. | $97,700 | ID0099501004 / 379 |
39. | $96,100 | ID0799602006 / 432 |
40. | $93,200 | MT0890001003 / 712 |
41. | $90,800 | ID0799603004 / 722 |
42. | $87,400 | ID0799604004 / 461 |
43. | $75,800 | ID0359701001 / 616 |
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.