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House Median Value Rank of Census Block Group within 50 miles of Census Block Group NY0450608034

Based on ACS 2006-2010 data*

A total of 182 results found. Show Results on Map.

RankHouse Median Value ▼Census Block Group / Population
1.$673,800NY0430115023 / 508
2.$267,300NY0450602003 / 440
3.$229,000NY0450601004 / 621
4.$224,400NY0450611005 / 1,368
5.$223,500NY0450619001 / 1,063
6.$202,300NY0450621001 / 1,526
7.$196,000NY0430115022 / 656
8.$189,600NY0450619002 / 1,110
9.$179,600NY0450622002 / 1,266
10.$176,500NY0450604002 / 1,044
11.$170,600NY0450608032 / 2,773
12.$168,300NY0450611001 / 1,059
13.$165,000NY0450604004 / 1,733
14.$162,500NY0450617002 / 1,332
15.$161,700NY0894917001 / 982
16.$159,200NY0450603003 / 1,738
17.$158,200NY0450624002 / 2,543
18.$154,900NY0450603004 / 944
19.$154,800NY0450617001 / 1,148
20.$154,300NY0450602005 / 2,178
21.$154,100NY0450618002 / 1,486
22.$153,100NY0450619003 / 1,323
23.$150,800NY0450602004 / 909
24.$150,600NY0650242001 / 1,213
25.$147,900NY0450624001 / 666
26.$147,400NY0499503006 / 950
27.$145,000NY0450618003 / 1,865
27.$145,000NY0450611003 / 795
29.$144,600NY0650242003 / 840
30.$139,700NY0450606004 / 3,422
31.$137,700NY0450602001 / 1,809
32.$136,100NY0894920003 / 807
33.$133,200NY0450622001 / 1,328
34.$131,500NY0450602002 / 2,066
35.$131,000NY0450616001 / 979
36.$128,900NY0450612001 / 1,609
37.$127,500NY0894928003 / 930
38.$126,900NY0450616002 / 2,044
39.$126,800NY0894929003 / 794
40.$126,500NY0499503002 / 2,538
41.$125,000NY0450605002 / 762
41.$125,000NY0450604005 / 637
43.$124,300NY0450603002 / 617
44.$123,700NY0450605003 / 2,785
45.$122,100NY0650241011 / 1,605
45.$122,100NY0450605001 / 1,711
47.$121,900NY0450616003 / 1,013
48.$121,500NY0499503001 / 1,016
49.$120,200NY0450624003 / 989
50.$119,400NY0450606002 / 749
51.$118,500NY0450606003 / 1,472
52.$115,600NY0499503004 / 1,176
53.$114,600NY0450610002 / 1,763
54.$113,900NY0650245002 / 1,084
55.$113,600NY0450612002 / 725
56.$113,400NY0450601002 / 850
57.$113,300NY0750203022 / 1,450
58.$111,900NY0450610003 / 1,155
59.$110,400NY0430115021 / 788
60.$110,000NY0450621003 / 1,875
60.$110,000NY0450615004 / 843
62.$109,700NY0450615002 / 678
63.$109,400NY0450601001 / 1,413
64.$109,000NY0499504002 / 1,583
65.$108,500NY0450604001 / 2,012
66.$107,900NY0894926001 / 1,747
67.$107,600NY0499502003 / 1,214
68.$107,400NY0499501001 / 1,129
69.$106,800NY0499505001 / 975
69.$106,800NY0450609005 / 1,047
71.$103,800NY0499506002 / 1,104
72.$103,500NY0450625001 / 1,179
73.$102,500NY0499502001 / 2,033
74.$102,300NY0450613003 / 867
75.$102,000NY0450622003 / 1,084
75.$102,000NY0450610001 / 1,019
77.$101,600NY0450607001 / 1,180
78.$101,400NY0450607004 / 1,075
79.$100,800NY0450614003 / 755
80.$99,700NY0450622004 / 990
81.$99,500NY0450611004 / 1,480
82.$98,100NY0499503003 / 702
83.$97,600NY0450618004 / 881
83.$97,600NY0450613002 / 1,057
85.$97,000NY0450609004 / 813
85.$97,000NY0450611002 / 1,565
87.$96,800NY0499507002 / 1,232
88.$96,600NY0450609001 / 1,006
88.$96,600NY0450604003 / 897
90.$96,400NY0450609003 / 1,728
90.$96,400NY0650242002 / 2,508
92.$95,900NY0894915001 / 618
93.$95,800NY0499502002 / 1,668
94.$95,500NY0450614001 / 1,279
95.$95,000NY0450606001 / 1,133
96.$94,900NY0750202001 / 1,817
97.$94,200NY0750204002 / 2,909
98.$93,300NY0750205005 / 1,982
99.$91,200NY0499505002 / 1,336
100.$91,100NY0750203011 / 2,441
100.$91,100NY0750215021 / 839
102.$90,300NY0450607003 / 1,377
103.$90,200NY0894921003 / 1,380
103.$90,200NY0894929002 / 726
105.$90,000NY0650243031 / 1,418
105.$90,000NY0750201002 / 604
107.$89,900NY0894927002 / 870
107.$89,900NY0499507003 / 640
109.$89,300NY0894913002 / 915
110.$89,200NY0894928001 / 923
111.$88,800NY0450601003 / 1,274
111.$88,800NY0450618005 / 1,262
113.$88,400NY0750215022 / 1,889
114.$88,200NY0499501002 / 1,495
115.$87,800NY0499504001 / 1,187
116.$87,300NY0650245001 / 1,591
117.$87,100NY0450609002 / 1,772
118.$86,300NY0450615003 / 1,694
119.$86,200NY0450618001 / 1,656
120.$85,300NY0499507001 / 1,366
121.$85,200NY0499503005 / 1,121
121.$85,200NY0750204001 / 2,277
123.$85,100NY0750205002 / 815
124.$84,800NY0750202003 / 754
124.$84,800NY0499507004 / 972
126.$84,500NY0894916002 / 714
127.$83,900NY0650245003 / 2,263
128.$83,800NY0894928004 / 800
129.$82,900NY0450625002 / 1,234
129.$82,900NY0450625003 / 928
131.$81,700NY0750202002 / 1,349
132.$81,300NY0499507005 / 812
133.$80,800NY0450607002 / 638
134.$80,700NY0750215012 / 1,423
135.$79,300NY0750205001 / 1,283
136.$79,200NY0450603001 / 699
137.$79,000NY0650244003 / 1,148
138.$78,800NY0894927003 / 786
139.$78,500NY0750215011 / 1,447
140.$78,300NY0894914003 / 1,620
141.$77,700NY0894928002 / 1,012
142.$76,800NY0894920004 / 1,482
143.$75,300NY0499506001 / 768
144.$75,000NY0450613001 / 608
144.$75,000NY0894915002 / 675
146.$74,800NY0750205004 / 919
146.$74,800NY0750201003 / 947
148.$74,700NY0750205003 / 819
148.$74,700NY0750201001 / 1,330
150.$73,500NY0894926004 / 1,649
151.$73,200NY0894926003 / 1,400
152.$72,400NY0894927004 / 542
153.$72,300NY0894927001 / 681
154.$72,200NY0450621002 / 1,576
154.$72,200NY0894915003 / 988
156.$71,300NY0894917004 / 1,321
157.$69,900NY0894917003 / 1,221
158.$69,300NY0894927006 / 390
158.$69,300NY0894918002 / 1,341
160.$67,700NY0894918001 / 1,684
161.$67,600NY0894918003 / 1,046
162.$66,800NY0450615001 / 552
163.$66,500NY0894925002 / 567
164.$66,300NY0450614002 / 726
165.$66,200NY0650244001 / 1,490
166.$66,100NY0894916001 / 1,034
167.$64,400NY0750203021 / 1,840
168.$64,100NY0894927005 / 587
169.$60,200NY0750201004 / 767
170.$59,600NY0894926002 / 1,078
171.$59,300NY0894925001 / 431
171.$59,300NY0894915004 / 735
173.$59,100NY0450612003 / 1,307
174.$57,700NY0894927008 / 1,327
175.$57,500NY0894916003 / 551
176.$55,300NY0894915005 / 796
177.$55,000NY0894927007 / 1,957
178.$53,300NY0894929001 / 779
179.$52,700NY0894917002 / 857
180.$47,900NY0894925005 / 377
181.$45,100NY0894914002 / 721
182.$40,300NY0450614004 / 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.


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