A total of 200 results found. Show Results on Map.
Rank | House Median Value ▼ | Census Tract / Population |
1. | $345,900 | NY109000600 / 5,164 |
2. | $336,400 | PA069110402 / 2,487 |
3. | $312,100 | NY109000100 / 1,479 |
4. | $305,600 | NY109000300 / 1,657 |
5. | $236,700 | NY109001500 / 5,638 |
6. | $235,900 | NY109000200 / 5,666 |
7. | $223,500 | NY109000500 / 4,493 |
8. | $217,700 | NY109000900 / 3,556 |
9. | $212,500 | PA069110401 / 6,061 |
10. | $198,300 | PA127960400 / 3,682 |
11. | $198,000 | NY109001300 / 6,290 |
12. | $195,600 | PA069110500 / 5,192 |
13. | $192,900 | NY007014301 / 5,321 |
14. | $190,300 | NY067016901 / 2,719 |
15. | $190,100 | NY109001600 / 4,263 |
16. | $188,900 | PA069112400 / 4,224 |
17. | $187,400 | PA069110201 / 4,082 |
18. | $186,700 | NY109000400 / 4,806 |
19. | $184,800 | PA069110202 / 4,849 |
20. | $184,400 | PA069110403 / 3,711 |
21. | $179,400 | PA069110300 / 4,133 |
22. | $177,300 | PA127960100 / 1,297 |
23. | $176,700 | PA127960200 / 2,857 |
24. | $171,800 | NY109001400 / 3,744 |
25. | $170,100 | NY109000700 / 4,060 |
26. | $169,500 | PA127960300 / 1,968 |
27. | $164,500 | NY109001100 / 4,696 |
28. | $164,000 | NY007014302 / 9,570 |
29. | $159,400 | NY109000800 / 2,338 |
30. | $159,200 | PA115032400 / 4,533 |
31. | $157,800 | PA115032901 / 3,913 |
32. | $157,200 | PA131400400 / 4,273 |
33. | $155,600 | NY109002000 / 4,077 |
34. | $154,700 | PA069101800 / 4,492 |
35. | $154,300 | NY007013304 / 6,459 |
36. | $151,500 | PA069111500 / 3,566 |
37. | $151,100 | NY007012102 / 4,090 |
38. | $148,200 | NY109002300 / 5,591 |
39. | $148,000 | PA131400300 / 4,551 |
40. | $147,000 | NY109001000 / 4,222 |
41. | $146,500 | PA131400500 / 4,115 |
42. | $143,600 | NY007013000 / 4,410 |
43. | $143,400 | NY025971400 / 3,282 |
44. | $143,300 | PA069111200 / 6,659 |
45. | $142,900 | NY109001900 / 5,822 |
46. | $142,600 | PA131400600 / 3,607 |
47. | $141,800 | PA131400200 / 3,958 |
48. | $140,400 | PA069111100 / 6,855 |
49. | $139,800 | NY007014600 / 5,184 |
50. | $138,900 | PA115032600 / 5,119 |
51. | $137,300 | PA015951100 / 2,799 |
52. | $137,000 | NY015010300 / 7,597 |
53. | $136,400 | PA131400700 / 4,391 |
54. | $136,200 | NY067016902 / 2,277 |
55. | $136,000 | NY007013202 / 3,460 |
56. | $135,700 | NY023971000 / 5,619 |
57. | $135,300 | PA115032100 / 3,918 |
58. | $133,500 | PA115032000 / 3,317 |
59. | $131,300 | NY007012702 / 4,941 |
60. | $131,200 | NY107020402 / 4,427 |
61. | $131,000 | NY109002100 / 4,424 |
62. | $130,500 | PA115032800 / 4,842 |
63. | $130,300 | PA115032700 / 3,452 |
63. | $130,300 | PA115032500 / 4,304 |
65. | $130,100 | NY015010700 / 7,340 |
66. | $129,500 | NY007001500 / 4,953 |
67. | $126,500 | PA069111600 / 2,512 |
68. | $125,400 | NY007001600 / 2,638 |
69. | $124,900 | NY007012300 / 5,257 |
70. | $124,400 | PA015950100 / 4,568 |
71. | $124,300 | NY107020300 / 6,686 |
72. | $124,200 | NY015010900 / 4,937 |
73. | $122,100 | PA069110600 / 2,933 |
74. | $120,900 | NY007013303 / 2,909 |
75. | $120,800 | NY077591500 / 3,498 |
76. | $117,900 | PA015950900 / 5,040 |
76. | $117,900 | NY007012103 / 3,479 |
78. | $117,500 | PA113960100 / 3,923 |
78. | $117,500 | PA069111000 / 2,278 |
80. | $116,900 | NY007014200 / 3,173 |
81. | $114,100 | NY109001800 / 5,141 |
82. | $113,700 | PA015950800 / 4,070 |
83. | $113,100 | NY007014500 / 3,375 |
84. | $113,000 | PA015950200 / 5,159 |
85. | $110,500 | NY007014400 / 4,573 |
86. | $109,700 | NY109002200 / 4,764 |
87. | $109,600 | NY017970300 / 3,849 |
88. | $109,300 | NY007012900 / 1,034 |
89. | $109,200 | NY023970200 / 5,888 |
90. | $109,100 | NY007012101 / 3,708 |
91. | $108,700 | NY007012600 / 5,822 |
92. | $107,500 | NY109001700 / 4,201 |
93. | $107,000 | NY023971200 / 3,928 |
94. | $105,800 | PA015951300 / 4,056 |
95. | $105,600 | NY107020401 / 5,008 |
95. | $105,600 | PA115032200 / 4,461 |
97. | $104,300 | PA015951200 / 5,026 |
98. | $102,900 | NY007001400 / 3,862 |
98. | $102,900 | NY017971000 / 3,630 |
100. | $100,700 | PA015950500 / 6,369 |
101. | $100,500 | NY007011901 / 2,954 |
102. | $100,300 | NY007012701 / 5,528 |
103. | $100,000 | NY007012800 / 5,317 |
104. | $99,600 | NY023970700 / 4,533 |
105. | $99,500 | NY099951000 / 2,235 |
106. | $99,400 | NY015010400 / 3,536 |
107. | $98,700 | NY023970300 / 3,269 |
107. | $98,700 | NY007010200 / 5,390 |
109. | $98,500 | NY007013201 / 2,009 |
110. | $98,000 | NY107020701 / 3,143 |
110. | $98,000 | PA131400100 / 3,367 |
110. | $98,000 | NY007012400 / 2,475 |
113. | $97,400 | NY017970602 / 4,066 |
114. | $96,900 | PA015950700 / 4,911 |
115. | $96,000 | PA069110100 / 2,793 |
115. | $96,000 | NY025970500 / 4,562 |
117. | $95,000 | NY007012201 / 2,641 |
117. | $95,000 | NY007011902 / 2,727 |
119. | $94,400 | NY023970800 / 3,004 |
119. | $94,400 | PA015950600 / 4,222 |
121. | $93,300 | PA069110900 / 3,202 |
122. | $93,000 | NY007013301 / 4,736 |
123. | $92,600 | NY015011200 / 5,338 |
124. | $92,500 | NY015010200 / 5,880 |
124. | $92,500 | NY097950100 / 4,951 |
126. | $92,400 | PA015950300 / 5,616 |
127. | $91,900 | NY107020500 / 3,899 |
128. | $91,700 | PA069110700 / 1,976 |
129. | $91,500 | NY107020702 / 4,409 |
130. | $91,300 | NY017970100 / 6,074 |
131. | $90,600 | NY007013500 / 1,910 |
132. | $89,700 | NY017970500 / 5,623 |
133. | $89,500 | NY107020200 / 5,321 |
134. | $89,400 | NY007012500 / 6,304 |
135. | $89,000 | PA069101200 / 3,687 |
136. | $88,900 | NY023970600 / 2,891 |
136. | $88,900 | NY017970802 / 3,690 |
138. | $88,800 | NY011040900 / 3,734 |
139. | $88,700 | NY025970400 / 5,864 |
140. | $88,600 | NY077591600 / 4,437 |
141. | $88,200 | NY107020100 / 6,567 |
142. | $87,800 | PA015951000 / 2,933 |
143. | $87,600 | NY017970801 / 3,964 |
144. | $87,500 | PA115032902 / 1,747 |
145. | $87,400 | PA069110800 / 3,824 |
145. | $87,400 | NY007001700 / 4,402 |
147. | $87,000 | PA115032300 / 3,737 |
148. | $86,800 | NY007012202 / 4,074 |
149. | $86,000 | NY015011000 / 4,224 |
150. | $85,900 | NY017970700 / 2,340 |
151. | $85,800 | NY023971100 / 4,583 |
151. | $85,800 | NY007012000 / 1,630 |
153. | $85,400 | NY007013600 / 3,746 |
154. | $85,200 | NY017970900 / 5,348 |
154. | $85,200 | NY007011903 / 2,742 |
156. | $84,800 | NY107020600 / 7,415 |
157. | $84,400 | NY015010600 / 3,093 |
158. | $84,200 | NY023970100 / 4,081 |
158. | $84,200 | PA015950400 / 3,362 |
160. | $83,400 | NY023970500 / 3,780 |
161. | $83,200 | NY015000500 / 3,220 |
162. | $83,100 | NY023970400 / 2,827 |
163. | $82,600 | NY015010100 / 3,091 |
164. | $82,400 | NY017970400 / 3,454 |
165. | $82,300 | NY007014100 / 3,014 |
166. | $82,000 | NY097950500 / 4,476 |
167. | $81,800 | NY023970900 / 5,049 |
168. | $80,500 | NY107020703 / 4,502 |
169. | $79,300 | NY017970601 / 4,342 |
170. | $78,500 | NY007013400 / 4,068 |
170. | $78,500 | NY007013700 / 3,596 |
172. | $78,100 | NY007013100 / 2,728 |
173. | $78,000 | NY015010500 / 2,906 |
174. | $77,800 | NY007000700 / 3,910 |
175. | $77,600 | NY007001800 / 4,466 |
176. | $77,200 | NY007000100 / 2,788 |
177. | $76,800 | NY097950400 / 3,936 |
178. | $76,600 | NY017970200 / 4,665 |
179. | $76,400 | NY007013800 / 3,478 |
180. | $76,200 | NY015000400 / 2,057 |
181. | $75,300 | NY007001300 / 3,000 |
182. | $74,300 | NY007000600 / 2,285 |
183. | $73,200 | NY015011100 / 7,573 |
184. | $72,900 | NY015000200 / 2,494 |
185. | $71,400 | NY007000900 / 1,673 |
186. | $70,800 | NY015000700 / 2,671 |
187. | $67,500 | NY015010800 / 3,839 |
188. | $67,400 | NY007000400 / 2,456 |
189. | $66,900 | NY007014000 / 3,161 |
190. | $66,700 | NY007001200 / 873 |
191. | $65,900 | NY007000200 / 3,450 |
192. | $65,100 | NY015000900 / 3,697 |
193. | $64,500 | NY007013900 / 2,420 |
194. | $64,000 | NY007000500 / 1,822 |
195. | $61,900 | NY007000300 / 3,320 |
196. | $59,800 | NY015001100 / 3,295 |
197. | $58,900 | NY015000600 / 4,634 |
198. | $56,000 | NY015001000 / 3,029 |
199. | $47,000 | NY007001100 / 1,493 |
200. | $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.