Local Data Search
A total of 141 results found. Show Results on Map.
| Rank | House Median Value ▼ | Census Block Group / Population |
| 1. | $267,300 | NY0450602003 / 440 |
| 2. | $229,000 | NY0450601004 / 621 |
| 3. | $170,600 | NY0450608032 / 2,773 |
| 4. | $168,300 | NY0450611001 / 1,059 |
| 5. | $167,900 | NY0894912001 / 2,869 |
| 6. | $162,900 | NY0894920002 / 898 |
| 7. | $161,700 | NY0894917001 / 982 |
| 8. | $160,100 | NY0894920001 / 784 |
| 9. | $154,300 | NY0450602005 / 2,178 |
| 10. | $150,800 | NY0450602004 / 909 |
| 11. | $145,300 | NY0894902003 / 910 |
| 12. | $139,700 | NY0450606004 / 3,422 |
| 13. | $137,700 | NY0450602001 / 1,809 |
| 14. | $137,500 | NY0894909001 / 552 |
| 15. | $136,100 | NY0894920003 / 807 |
| 16. | $131,500 | NY0450602002 / 2,066 |
| 17. | $130,400 | NY0339400001 / 2,000 |
| 18. | $127,500 | NY0894928003 / 930 |
| 19. | $126,800 | NY0894929003 / 794 |
| 20. | $125,000 | NY0450605002 / 762 |
| 21. | $124,300 | NY0894908002 / 779 |
| 22. | $123,800 | NY0894909004 / 631 |
| 23. | $123,700 | NY0450605003 / 2,785 |
| 24. | $122,100 | NY0450605001 / 1,711 |
| 25. | $120,100 | NY0894923004 / 120 |
| 26. | $119,400 | NY0450606002 / 749 |
| 27. | $118,900 | NY0894921001 / 918 |
| 28. | $118,500 | NY0450606003 / 1,472 |
| 29. | $116,400 | NY0894904003 / 737 |
| 30. | $115,100 | NY0894923003 / 1,636 |
| 31. | $114,600 | NY0450610002 / 1,763 |
| 32. | $113,900 | NY0894923001 / 1,620 |
| 33. | $113,800 | NY0894908003 / 1,382 |
| 34. | $113,400 | NY0450601002 / 850 |
| 35. | $112,900 | NY0894902004 / 744 |
| 36. | $112,500 | NY0894908001 / 709 |
| 37. | $110,800 | NY0894920005 / 831 |
| 38. | $109,600 | NY0894910004 / 828 |
| 39. | $109,400 | NY0450601001 / 1,413 |
| 40. | $108,500 | NY0450604001 / 2,012 |
| 41. | $107,900 | NY0894926001 / 1,747 |
| 42. | $107,600 | NY0499502003 / 1,214 |
| 43. | $106,800 | NY0894925004 / 641 |
| 43. | $106,800 | NY0450609005 / 1,047 |
| 45. | $103,400 | NY0894905003 / 1,184 |
| 46. | $102,000 | NY0450610001 / 1,019 |
| 47. | $101,600 | NY0450607001 / 1,180 |
| 48. | $101,400 | NY0450607004 / 1,075 |
| 49. | $98,200 | NY0894904002 / 1,527 |
| 50. | $98,000 | NY0894903006 / 925 |
| 51. | $97,400 | NY0894921002 / 2,115 |
| 51. | $97,400 | NY0339400002 / 1,134 |
| 51. | $97,400 | NY0894904001 / 883 |
| 54. | $97,000 | NY0450611002 / 1,565 |
| 54. | $97,000 | NY0450609004 / 813 |
| 56. | $96,700 | NY0894923002 / 972 |
| 57. | $96,600 | NY0450609001 / 1,006 |
| 58. | $96,400 | NY0450609003 / 1,728 |
| 59. | $95,900 | NY0894915001 / 618 |
| 60. | $95,800 | NY0499502002 / 1,668 |
| 61. | $95,000 | NY0450606001 / 1,133 |
| 62. | $90,300 | NY0450607003 / 1,377 |
| 63. | $90,200 | NY0894921003 / 1,380 |
| 63. | $90,200 | NY0894929002 / 726 |
| 65. | $89,900 | NY0894927002 / 870 |
| 66. | $89,400 | NY0894910002 / 1,225 |
| 67. | $89,300 | NY0894913002 / 915 |
| 68. | $89,200 | NY0894928001 / 923 |
| 69. | $89,100 | NY0894906001 / 1,189 |
| 70. | $89,000 | NY0894907003 / 699 |
| 71. | $88,800 | NY0450601003 / 1,274 |
| 72. | $88,200 | NY0499501002 / 1,495 |
| 73. | $88,000 | NY0894902002 / 830 |
| 74. | $87,100 | NY0450609002 / 1,772 |
| 75. | $86,900 | NY0894923005 / 670 |
| 76. | $86,600 | NY0894907002 / 2,468 |
| 77. | $85,900 | NY0894909003 / 489 |
| 78. | $84,500 | NY0894916002 / 714 |
| 79. | $83,900 | NY0894903003 / 1,146 |
| 80. | $83,800 | NY0894928004 / 800 |
| 81. | $81,700 | NY0894909005 / 987 |
| 82. | $80,800 | NY0450607002 / 638 |
| 83. | $80,600 | NY0894907004 / 1,585 |
| 84. | $80,500 | NY0894906002 / 1,217 |
| 84. | $80,500 | NY0894903004 / 1,238 |
| 86. | $80,000 | NY0894905002 / 1,699 |
| 87. | $79,500 | NY0894913003 / 1,557 |
| 88. | $78,800 | NY0894927003 / 786 |
| 89. | $78,300 | NY0894914003 / 1,620 |
| 90. | $77,700 | NY0894913001 / 1,601 |
| 90. | $77,700 | NY0894928002 / 1,012 |
| 92. | $77,400 | NY0894910003 / 812 |
| 93. | $76,800 | NY0894920004 / 1,482 |
| 94. | $76,600 | NY0894906003 / 1,163 |
| 95. | $75,500 | NY0894903001 / 687 |
| 96. | $75,000 | NY0894915002 / 675 |
| 97. | $73,500 | NY0894926004 / 1,649 |
| 98. | $73,200 | NY0894926003 / 1,400 |
| 99. | $72,600 | NY0894924001 / 575 |
| 100. | $72,400 | NY0894927004 / 542 |
| 101. | $72,300 | NY0894927001 / 681 |
| 102. | $72,200 | NY0894915003 / 988 |
| 103. | $72,100 | NY0894924003 / 847 |
| 104. | $71,500 | NY0339502004 / 811 |
| 105. | $71,300 | NY0894917004 / 1,321 |
| 106. | $70,600 | NY0894907001 / 1,356 |
| 107. | $69,900 | NY0894917003 / 1,221 |
| 108. | $69,300 | NY0894927006 / 390 |
| 108. | $69,300 | NY0894918002 / 1,341 |
| 110. | $68,800 | NY0894901001 / 849 |
| 111. | $68,700 | NY0894906004 / 1,062 |
| 112. | $67,900 | NY0894924002 / 1,346 |
| 113. | $67,700 | NY0894918001 / 1,684 |
| 113. | $67,700 | NY0894905001 / 886 |
| 115. | $67,600 | NY0894918003 / 1,046 |
| 116. | $67,500 | NY0894923006 / 1,032 |
| 117. | $66,900 | NY0894903002 / 855 |
| 118. | $66,500 | NY0894925002 / 567 |
| 119. | $66,100 | NY0894916001 / 1,034 |
| 120. | $65,000 | NY0894901002 / 1,216 |
| 121. | $64,100 | NY0894927005 / 587 |
| 122. | $62,400 | NY0894910001 / 1,597 |
| 123. | $62,100 | NY0894901004 / 973 |
| 124. | $59,700 | NY0894902001 / 528 |
| 125. | $59,600 | NY0894926002 / 1,078 |
| 126. | $59,300 | NY0894914001 / 1,337 |
| 126. | $59,300 | NY0894925001 / 431 |
| 126. | $59,300 | NY0894915004 / 735 |
| 129. | $58,900 | NY0894901003 / 527 |
| 130. | $57,700 | NY0894927008 / 1,327 |
| 131. | $57,500 | NY0894916003 / 551 |
| 132. | $56,500 | NY0894903005 / 747 |
| 133. | $55,300 | NY0894915005 / 796 |
| 134. | $55,000 | NY0894927007 / 1,957 |
| 135. | $54,800 | NY0894909002 / 696 |
| 136. | $53,300 | NY0894929001 / 779 |
| 137. | $52,700 | NY0894917002 / 857 |
| 138. | $51,800 | NY0894902005 / 707 |
| 139. | $47,900 | NY0894925005 / 377 |
| 140. | $47,400 | NY0894925003 / 585 |
| 141. | $45,100 | NY0894914002 / 721 |
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.