Local Data Search
A total of 141 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Tract / Population |
| 1. | $345,900 | NY109000600 / 5,164 |
| 2. | $312,100 | NY109000100 / 1,479 |
| 3. | $305,600 | NY109000300 / 1,657 |
| 4. | $236,700 | NY109001500 / 5,638 |
| 5. | $235,900 | NY109000200 / 5,666 |
| 6. | $223,500 | NY109000500 / 4,493 |
| 7. | $217,700 | NY109000900 / 3,556 |
| 7. | $217,700 | NY069050601 / 5,837 |
| 9. | $198,000 | NY109001300 / 6,290 |
| 10. | $197,900 | NY123150400 / 4,135 |
| 11. | $190,100 | NY109001600 / 4,263 |
| 12. | $186,700 | NY109000400 / 4,806 |
| 13. | $171,800 | NY109001400 / 3,744 |
| 14. | $170,100 | NY109000700 / 4,060 |
| 15. | $164,500 | NY109001100 / 4,696 |
| 16. | $159,400 | NY109000800 / 2,338 |
| 17. | $157,600 | NY069051500 / 3,273 |
| 18. | $155,600 | NY109002000 / 4,077 |
| 19. | $154,700 | NY069052100 / 4,039 |
| 20. | $148,200 | NY109002300 / 5,591 |
| 21. | $147,000 | NY109001000 / 4,222 |
| 22. | $142,900 | NY109001900 / 5,822 |
| 23. | $137,000 | NY015010300 / 7,597 |
| 24. | $132,800 | NY069051300 / 4,168 |
| 25. | $131,200 | NY107020402 / 4,427 |
| 26. | $131,000 | NY097950200 / 1,777 |
| 26. | $131,000 | NY109002100 / 4,424 |
| 28. | $130,100 | NY015010700 / 7,340 |
| 29. | $125,800 | PA117950700 / 5,366 |
| 29. | $125,800 | NY123150500 / 4,613 |
| 31. | $125,400 | NY069052000 / 5,072 |
| 32. | $124,400 | PA015950100 / 4,568 |
| 33. | $124,300 | NY107020300 / 6,686 |
| 34. | $124,200 | NY015010900 / 4,937 |
| 35. | $123,500 | PA117950900 / 3,992 |
| 36. | $123,100 | PA117950600 / 6,022 |
| 37. | $121,100 | PA117950800 / 3,261 |
| 38. | $119,100 | NY101962300 / 7,867 |
| 39. | $117,900 | PA015950900 / 5,040 |
| 40. | $117,800 | PA117950500 / 4,381 |
| 41. | $116,700 | NY099950800 / 5,983 |
| 42. | $116,100 | NY101960100 / 1,475 |
| 43. | $116,000 | PA081010100 / 2,329 |
| 44. | $115,300 | NY011041000 / 5,393 |
| 45. | $114,100 | NY109001800 / 5,141 |
| 46. | $113,900 | NY069051400 / 2,712 |
| 47. | $113,700 | PA015950800 / 4,070 |
| 48. | $113,500 | NY099950700 / 3,901 |
| 49. | $113,000 | PA015950200 / 5,159 |
| 50. | $111,900 | NY069052200 / 2,484 |
| 51. | $111,100 | NY123150100 / 5,793 |
| 52. | $109,700 | NY109002200 / 4,764 |
| 53. | $108,700 | PA117950100 / 4,191 |
| 54. | $107,600 | NY101961400 / 2,238 |
| 55. | $107,500 | NY109001700 / 4,201 |
| 56. | $105,800 | PA015951300 / 4,056 |
| 57. | $105,600 | NY107020401 / 5,008 |
| 58. | $105,400 | NY101962900 / 2,586 |
| 59. | $100,700 | PA015950500 / 6,369 |
| 60. | $99,900 | NY123150200 / 5,797 |
| 61. | $99,600 | NY123150300 / 4,912 |
| 62. | $99,500 | NY099951000 / 2,235 |
| 63. | $99,400 | NY015010400 / 3,536 |
| 64. | $98,000 | NY107020701 / 3,143 |
| 65. | $97,400 | NY003950800 / 6,288 |
| 66. | $96,900 | PA015950700 / 4,911 |
| 67. | $96,800 | PA105950500 / 2,280 |
| 67. | $96,800 | NY051031100 / 4,936 |
| 69. | $96,700 | PA117951000 / 2,828 |
| 70. | $96,200 | NY101963000 / 4,460 |
| 71. | $94,900 | PA117950400 / 3,891 |
| 72. | $94,500 | NY069051900 / 4,704 |
| 73. | $94,400 | PA015950600 / 4,222 |
| 74. | $93,900 | NY101961500 / 2,018 |
| 75. | $93,400 | NY051031300 / 4,515 |
| 76. | $92,600 | NY015011200 / 5,338 |
| 77. | $92,500 | NY015010200 / 5,880 |
| 77. | $92,500 | NY097950100 / 4,951 |
| 79. | $92,400 | PA015950300 / 5,616 |
| 79. | $92,400 | NY101960600 / 4,106 |
| 81. | $91,900 | NY107020500 / 3,899 |
| 82. | $91,500 | PA105950100 / 4,642 |
| 82. | $91,500 | NY107020702 / 4,409 |
| 84. | $89,500 | NY107020200 / 5,321 |
| 85. | $89,300 | NY101961100 / 4,395 |
| 86. | $89,200 | NY069051600 / 4,149 |
| 87. | $88,900 | NY101960500 / 2,769 |
| 88. | $88,800 | NY099950900 / 3,843 |
| 89. | $88,300 | NY101962800 / 3,689 |
| 90. | $88,200 | NY107020100 / 6,567 |
| 91. | $88,100 | NY101962600 / 2,658 |
| 92. | $87,800 | PA015951000 / 2,933 |
| 92. | $87,800 | NY101962700 / 3,330 |
| 94. | $87,700 | NY101961600 / 1,496 |
| 95. | $87,100 | PA015951400 / 4,284 |
| 96. | $86,000 | NY015011000 / 4,224 |
| 97. | $84,800 | NY107020600 / 7,415 |
| 98. | $84,400 | NY015010600 / 3,093 |
| 99. | $84,200 | PA015950400 / 3,362 |
| 100. | $83,600 | NY097950300 / 3,426 |
| 101. | $83,200 | NY015000500 / 3,220 |
| 102. | $82,900 | NY101961200 / 3,689 |
| 103. | $82,600 | NY015010100 / 3,091 |
| 104. | $82,400 | NY101962400 / 2,906 |
| 105. | $82,000 | NY097950500 / 4,476 |
| 106. | $81,500 | NY051031400 / 4,688 |
| 107. | $80,500 | NY107020703 / 4,502 |
| 108. | $79,700 | PA117950200 / 3,661 |
| 109. | $79,300 | NY101960400 / 4,138 |
| 110. | $78,600 | NY101961000 / 3,626 |
| 111. | $78,300 | NY101960200 / 3,018 |
| 112. | $78,000 | NY015010500 / 2,906 |
| 113. | $77,800 | NY101962500 / 2,203 |
| 114. | $77,400 | NY101961700 / 3,444 |
| 115. | $76,800 | NY097950400 / 3,936 |
| 116. | $76,200 | NY015000400 / 2,057 |
| 117. | $75,800 | NY101962200 / 2,598 |
| 118. | $75,500 | NY101962000 / 4,422 |
| 119. | $75,000 | PA117950300 / 4,038 |
| 120. | $74,400 | NY101961300 / 4,218 |
| 121. | $74,300 | NY101960300 / 2,563 |
| 122. | $73,200 | NY015011100 / 7,573 |
| 123. | $72,900 | NY015000200 / 2,494 |
| 124. | $72,400 | NY003950100 / 2,617 |
| 125. | $72,300 | NY101961800 / 3,464 |
| 126. | $71,300 | NY101961900 / 3,404 |
| 127. | $70,800 | NY015000700 / 2,671 |
| 128. | $67,500 | NY015010800 / 3,839 |
| 128. | $67,500 | NY101960700 / 2,849 |
| 130. | $65,400 | NY101962100 / 3,298 |
| 131. | $65,100 | NY015000900 / 3,697 |
| 132. | $64,900 | NY069051800 / 2,402 |
| 133. | $61,100 | NY003951000 / 3,338 |
| 134. | $60,300 | NY101960800 / 3,136 |
| 135. | $59,800 | NY015001100 / 3,295 |
| 136. | $58,900 | NY015000600 / 4,634 |
| 137. | $57,500 | NY101960900 / 2,661 |
| 138. | $57,000 | NY003950900 / 4,064 |
| 139. | $56,400 | NY003950700 / 4,081 |
| 140. | $56,000 | NY015001000 / 3,029 |
| 141. | $43,600 | NY015000100 / 2,783 |
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.