A total of 42 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Block Group / Population |
1. | $253,700 | SD0819663022 / 1,491 |
2. | $231,300 | WY0119502002 / 1,592 |
3. | $217,000 | SD0930203021 / 711 |
4. | $213,300 | SD0930203011 / 1,291 |
5. | $211,000 | SD0199677002 / 1,580 |
6. | $208,900 | SD1030117003 / 1,266 |
7. | $207,800 | SD0819661001 / 2,074 |
8. | $207,500 | SD0819663023 / 1,136 |
9. | $194,800 | SD0819663011 / 1,321 |
10. | $184,500 | SD0819661002 / 1,924 |
11. | $175,400 | SD0819662001 / 1,034 |
12. | $171,000 | SD0819666001 / 843 |
13. | $166,500 | SD0930204004 / 912 |
14. | $165,500 | SD0819662002 / 824 |
15. | $154,400 | WY0119502003 / 1,467 |
16. | $153,900 | WY0459513002 / 1,125 |
17. | $153,300 | SD0819666002 / 2,016 |
18. | $145,000 | WY0119502001 / 1,306 |
19. | $144,400 | WY0459511002 / 1,645 |
20. | $142,300 | SD0819663012 / 1,995 |
21. | $130,700 | SD0199677003 / 863 |
22. | $127,700 | SD0819661003 / 783 |
23. | $126,400 | SD0930204006 / 2,355 |
24. | $125,000 | SD0199676002 / 924 |
25. | $124,900 | WY0119503001 / 986 |
26. | $122,100 | WY0119503002 / 1,410 |
27. | $118,200 | SD0930204003 / 735 |
28. | $116,000 | WY0459511001 / 1,300 |
29. | $112,400 | WY0459513003 / 1,616 |
30. | $109,800 | SD0930204002 / 1,105 |
31. | $107,900 | SD0819661004 / 484 |
32. | $107,400 | SD0199677004 / 2,076 |
33. | $106,800 | SD0819662003 / 1,966 |
34. | $103,800 | SD0930204005 / 750 |
35. | $98,100 | SD0199677005 / 1,118 |
36. | $93,400 | SD0819666003 / 1,654 |
37. | $92,900 | SD0819666004 / 1,028 |
38. | $83,800 | SD0199677001 / 1,297 |
39. | $79,200 | SD0930204001 / 1,043 |
40. | $73,600 | WY0459513001 / 1,380 |
41. | $68,300 | SD0819663021 / 2,039 |
42. | $9,999 | SD0819663013 / 1,058 |
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.