A total of 147 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. | $224,400 | NY0450611005 / 1,368 |
4. | $223,500 | NY0450619001 / 1,063 |
5. | $202,300 | NY0450621001 / 1,526 |
6. | $189,600 | NY0450619002 / 1,110 |
7. | $179,600 | NY0450622002 / 1,266 |
8. | $176,500 | NY0450604002 / 1,044 |
9. | $170,600 | NY0450608032 / 2,773 |
10. | $168,300 | NY0450611001 / 1,059 |
11. | $165,000 | NY0450604004 / 1,733 |
12. | $162,500 | NY0450617002 / 1,332 |
13. | $159,200 | NY0450603003 / 1,738 |
14. | $158,200 | NY0450624002 / 2,543 |
15. | $154,900 | NY0450603004 / 944 |
16. | $154,800 | NY0450617001 / 1,148 |
17. | $154,300 | NY0450602005 / 2,178 |
18. | $154,100 | NY0450618002 / 1,486 |
19. | $153,100 | NY0450619003 / 1,323 |
20. | $150,800 | NY0450602004 / 909 |
21. | $147,900 | NY0450624001 / 666 |
22. | $147,400 | NY0499503006 / 950 |
23. | $145,000 | NY0450618003 / 1,865 |
23. | $145,000 | NY0450611003 / 795 |
25. | $139,700 | NY0450606004 / 3,422 |
26. | $137,700 | NY0450602001 / 1,809 |
27. | $133,200 | NY0450622001 / 1,328 |
28. | $131,500 | NY0450602002 / 2,066 |
29. | $131,000 | NY0450616001 / 979 |
30. | $130,600 | NY0750216022 / 1,310 |
31. | $128,900 | NY0450612001 / 1,609 |
32. | $127,500 | NY0894928003 / 930 |
33. | $126,900 | NY0450616002 / 2,044 |
34. | $126,800 | NY0894929003 / 794 |
35. | $126,500 | NY0499503002 / 2,538 |
36. | $125,000 | NY0450604005 / 637 |
36. | $125,000 | NY0450605002 / 762 |
38. | $124,500 | NY0750215023 / 1,819 |
39. | $124,300 | NY0450603002 / 617 |
40. | $123,700 | NY0450605003 / 2,785 |
41. | $122,100 | NY0450605001 / 1,711 |
42. | $121,900 | NY0450616003 / 1,013 |
43. | $121,500 | NY0499503001 / 1,016 |
44. | $120,200 | NY0450624003 / 989 |
45. | $119,400 | NY0450606002 / 749 |
46. | $118,500 | NY0450606003 / 1,472 |
47. | $115,600 | NY0499503004 / 1,176 |
48. | $114,600 | NY0450610002 / 1,763 |
49. | $113,600 | NY0450612002 / 725 |
50. | $113,400 | NY0450601002 / 850 |
51. | $113,300 | NY0750203022 / 1,450 |
52. | $111,900 | NY0450610003 / 1,155 |
53. | $110,000 | NY0450621003 / 1,875 |
53. | $110,000 | NY0450615004 / 843 |
55. | $109,700 | NY0450615002 / 678 |
56. | $109,400 | NY0450601001 / 1,413 |
57. | $109,000 | NY0499504002 / 1,583 |
58. | $108,500 | NY0450604001 / 2,012 |
59. | $107,900 | NY0894926001 / 1,747 |
60. | $107,700 | NY0750216011 / 593 |
61. | $107,600 | NY0499502003 / 1,214 |
62. | $107,200 | NY0750215024 / 2,349 |
63. | $106,800 | NY0450609005 / 1,047 |
64. | $103,500 | NY0450625001 / 1,179 |
65. | $102,500 | NY0499502001 / 2,033 |
66. | $102,300 | NY0450613003 / 867 |
67. | $102,000 | NY0450610001 / 1,019 |
67. | $102,000 | NY0450622003 / 1,084 |
69. | $101,600 | NY0450607001 / 1,180 |
70. | $101,400 | NY0450607004 / 1,075 |
71. | $100,800 | NY0450614003 / 755 |
72. | $99,700 | NY0450622004 / 990 |
73. | $99,500 | NY0450611004 / 1,480 |
74. | $98,100 | NY0499503003 / 702 |
75. | $97,600 | NY0450618004 / 881 |
75. | $97,600 | NY0450613002 / 1,057 |
77. | $97,000 | NY0450609004 / 813 |
77. | $97,000 | NY0450611002 / 1,565 |
79. | $96,700 | NY0750214011 / 4,278 |
80. | $96,600 | NY0450609001 / 1,006 |
80. | $96,600 | NY0450604003 / 897 |
82. | $96,400 | NY0450609003 / 1,728 |
83. | $95,800 | NY0499502002 / 1,668 |
84. | $95,500 | NY0450614001 / 1,279 |
85. | $95,000 | NY0450606001 / 1,133 |
86. | $94,900 | NY0750202001 / 1,817 |
87. | $94,300 | NY0750216031 / 1,305 |
88. | $94,200 | NY0750204002 / 2,909 |
89. | $91,200 | NY0499505002 / 1,336 |
90. | $91,100 | NY0750215021 / 839 |
90. | $91,100 | NY0750203011 / 2,441 |
92. | $90,300 | NY0450607003 / 1,377 |
93. | $90,200 | NY0894929002 / 726 |
94. | $90,000 | NY0750201002 / 604 |
95. | $89,900 | NY0894927002 / 870 |
96. | $89,500 | NY0750216041 / 1,096 |
97. | $89,200 | NY0894928001 / 923 |
98. | $88,800 | NY0450618005 / 1,262 |
98. | $88,800 | NY0450601003 / 1,274 |
100. | $88,400 | NY0750215022 / 1,889 |
101. | $87,600 | NY0750216013 / 1,233 |
102. | $87,100 | NY0450609002 / 1,772 |
103. | $86,300 | NY0450615003 / 1,694 |
104. | $86,200 | NY0450618001 / 1,656 |
105. | $85,200 | NY0750204001 / 2,277 |
105. | $85,200 | NY0499503005 / 1,121 |
107. | $84,800 | NY0750202003 / 754 |
108. | $83,800 | NY0894928004 / 800 |
109. | $82,900 | NY0450625003 / 928 |
109. | $82,900 | NY0450625002 / 1,234 |
111. | $81,700 | NY0750202002 / 1,349 |
112. | $80,900 | NY0750216043 / 1,740 |
113. | $80,800 | NY0450607002 / 638 |
114. | $80,700 | NY0750215012 / 1,423 |
115. | $80,100 | NY0750216021 / 1,871 |
116. | $79,200 | NY0450603001 / 699 |
117. | $78,800 | NY0750216032 / 1,720 |
117. | $78,800 | NY0894927003 / 786 |
119. | $78,500 | NY0750215011 / 1,447 |
120. | $77,700 | NY0894928002 / 1,012 |
121. | $75,000 | NY0450613001 / 608 |
122. | $74,800 | NY0750201003 / 947 |
122. | $74,800 | NY0750205004 / 919 |
124. | $74,700 | NY0750205003 / 819 |
124. | $74,700 | NY0750201001 / 1,330 |
126. | $73,500 | NY0750216042 / 1,129 |
127. | $72,400 | NY0894927004 / 542 |
128. | $72,300 | NY0894927001 / 681 |
129. | $72,200 | NY0450621002 / 1,576 |
130. | $72,000 | NY0750216053 / 1,058 |
131. | $69,300 | NY0894927006 / 390 |
132. | $68,800 | NY0750216012 / 1,282 |
133. | $67,700 | NY0894918001 / 1,684 |
134. | $66,800 | NY0450615001 / 552 |
135. | $66,300 | NY0450614002 / 726 |
136. | $64,400 | NY0750203021 / 1,840 |
137. | $64,100 | NY0894927005 / 587 |
138. | $60,200 | NY0750201004 / 767 |
139. | $59,100 | NY0450612003 / 1,307 |
140. | $57,700 | NY0894927008 / 1,327 |
141. | $56,500 | NY0750216054 / 402 |
142. | $55,000 | NY0894927007 / 1,957 |
142. | $55,000 | NY0750216051 / 1,431 |
144. | $54,400 | NY0750216052 / 805 |
145. | $53,300 | NY0894929001 / 779 |
146. | $52,700 | NY0894917002 / 857 |
147. | $40,300 | NY0450614004 / 912 |
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.