A total of 44 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Tract / Population |
1. | $246,400 | NY041950100 / 1,226 |
2. | $245,200 | NY031960598 / 6,127 |
3. | $186,600 | NY031960300 / 2,472 |
4. | $182,600 | NY031960498 / 2,827 |
5. | $167,900 | NY089491200 / 2,869 |
6. | $165,800 | NY033950900 / 3,360 |
7. | $133,100 | NY033951000 / 2,340 |
8. | $131,800 | NY033951200 / 2,107 |
9. | $124,300 | NY033950800 / 2,890 |
10. | $122,300 | NY033950502 / 6,457 |
11. | $122,100 | NY089492000 / 4,802 |
12. | $116,700 | NY089490800 / 2,870 |
13. | $113,100 | NY019101800 / 5,566 |
14. | $112,500 | NY033940000 / 3,134 |
15. | $102,200 | NY089490400 / 3,147 |
16. | $96,100 | NY089492300 / 6,050 |
17. | $95,000 | NY089492100 / 4,413 |
18. | $92,500 | NY089490900 / 3,355 |
19. | $92,000 | NY089490200 / 3,719 |
20. | $91,800 | NY033951100 / 3,900 |
21. | $87,400 | NY089490500 / 3,769 |
22. | $85,500 | NY033950600 / 1,986 |
23. | $83,100 | NY019100400 / 7,517 |
24. | $82,800 | NY089491300 / 4,073 |
25. | $82,700 | NY089490700 / 6,108 |
26. | $82,000 | NY089490600 / 4,631 |
27. | $80,200 | NY089490300 / 5,598 |
28. | $78,700 | NY033950100 / 4,418 |
29. | $78,300 | NY089492600 / 5,874 |
29. | $78,300 | NY033950400 / 4,681 |
31. | $77,700 | NY033950700 / 2,488 |
32. | $76,500 | NY089491700 / 4,381 |
33. | $75,800 | NY089491000 / 4,462 |
34. | $75,300 | NY033950501 / 3,607 |
35. | $74,700 | NY033950300 / 6,204 |
36. | $70,300 | NY089492400 / 2,768 |
37. | $69,400 | NY089492700 / 7,140 |
38. | $68,300 | NY089491800 / 4,071 |
39. | $68,200 | NY089491600 / 2,299 |
40. | $68,100 | NY089491500 / 3,812 |
41. | $67,000 | NY033950200 / 4,125 |
42. | $65,900 | NY089492500 / 2,601 |
43. | $64,900 | NY089491400 / 5,256 |
44. | $63,800 | NY089490100 / 3,565 |
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.