Local Data Search
A total of 40 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $237,700 | ID019970401 / 2,560 |
| 2. | $220,400 | ID019971400 / 7,842 |
| 3. | $218,900 | ID019970503 / 3,970 |
| 4. | $209,400 | ID019971500 / 1,593 |
| 5. | $188,900 | ID051960400 / 9,978 |
| 6. | $187,600 | ID019970603 / 2,011 |
| 7. | $185,500 | ID065950400 / 6,014 |
| 8. | $185,300 | ID065950302 / 8,955 |
| 9. | $182,800 | ID019970501 / 7,747 |
| 10. | $172,600 | ID065950100 / 6,139 |
| 11. | $164,400 | ID019970402 / 2,828 |
| 12. | $159,500 | ID065950500 / 5,476 |
| 13. | $157,700 | ID019971302 / 5,609 |
| 14. | $156,700 | ID019970300 / 6,586 |
| 15. | $153,700 | ID065950200 / 3,533 |
| 16. | $152,400 | ID019971000 / 5,144 |
| 17. | $150,400 | ID011950100 / 8,179 |
| 18. | $148,800 | ID019970900 / 5,140 |
| 19. | $145,300 | ID051960300 / 6,380 |
| 20. | $141,100 | ID051960200 / 4,028 |
| 21. | $139,400 | ID019970403 / 9,454 |
| 22. | $138,400 | ID065950301 / 6,296 |
| 23. | $137,300 | ID019970502 / 4,625 |
| 24. | $133,900 | ID019971301 / 6,165 |
| 25. | $132,800 | ID019970602 / 5,214 |
| 26. | $130,400 | ID011950600 / 5,318 |
| 27. | $128,700 | ID011950700 / 4,727 |
| 28. | $127,800 | ID019971100 / 3,569 |
| 29. | $127,600 | ID011950400 / 6,561 |
| 30. | $123,000 | ID011950300 / 6,071 |
| 31. | $117,600 | ID019970601 / 2,754 |
| 32. | $116,900 | ID051960100 / 4,137 |
| 33. | $116,500 | ID019970800 / 3,517 |
| 34. | $114,900 | ID043970300 / 8,070 |
| 35. | $108,500 | ID023970100 / 2,842 |
| 36. | $103,800 | ID019971200 / 4,062 |
| 37. | $103,300 | ID011950500 / 7,100 |
| 38. | $100,500 | ID011940000 / 2,683 |
| 39. | $89,100 | ID019970700 / 5,557 |
| 40. | $82,800 | ID033950100 / 857 |
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.