Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $167,900 | NY089491200 / 2,869 |
| 2. | $165,800 | NY033950900 / 3,360 |
| 3. | $133,100 | NY033951000 / 2,340 |
| 4. | $131,800 | NY033951200 / 2,107 |
| 5. | $124,300 | NY033950800 / 2,890 |
| 6. | $122,300 | NY033950502 / 6,457 |
| 7. | $122,100 | NY089492000 / 4,802 |
| 8. | $116,700 | NY089490800 / 2,870 |
| 9. | $112,500 | NY033940000 / 3,134 |
| 10. | $102,200 | NY089490400 / 3,147 |
| 11. | $96,100 | NY089492300 / 6,050 |
| 12. | $95,000 | NY089492100 / 4,413 |
| 13. | $92,500 | NY089490900 / 3,355 |
| 14. | $92,000 | NY089490200 / 3,719 |
| 15. | $91,800 | NY033951100 / 3,900 |
| 16. | $91,700 | NY045060700 / 4,270 |
| 17. | $87,400 | NY089490500 / 3,769 |
| 18. | $85,500 | NY033950600 / 1,986 |
| 19. | $84,600 | NY089492800 / 3,665 |
| 19. | $84,600 | NY089492900 / 2,299 |
| 21. | $82,800 | NY089491300 / 4,073 |
| 22. | $82,700 | NY089490700 / 6,108 |
| 23. | $82,000 | NY089490600 / 4,631 |
| 24. | $80,200 | NY089490300 / 5,598 |
| 25. | $78,700 | NY033950100 / 4,418 |
| 26. | $78,300 | NY089492600 / 5,874 |
| 26. | $78,300 | NY033950400 / 4,681 |
| 28. | $77,700 | NY033950700 / 2,488 |
| 29. | $76,500 | NY089491700 / 4,381 |
| 30. | $75,800 | NY089491000 / 4,462 |
| 31. | $75,300 | NY033950501 / 3,607 |
| 32. | $74,700 | NY033950300 / 6,204 |
| 33. | $70,300 | NY089492400 / 2,768 |
| 34. | $69,400 | NY089492700 / 7,140 |
| 35. | $68,300 | NY089491800 / 4,071 |
| 36. | $68,200 | NY089491600 / 2,299 |
| 37. | $68,100 | NY089491500 / 3,812 |
| 38. | $67,000 | NY033950200 / 4,125 |
| 39. | $65,900 | NY089492500 / 2,601 |
| 40. | $64,900 | NY089491400 / 5,256 |
| 41. | $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.