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House Median Value Rank of Census Block Group within 50 miles of Census Block Group NY0339400001

Based on ACS 2006-2010 data*

A total of 119 results found. Show Results on Map.

RankHouse Median Value ▼Census Block Group / Population
1.$268,200NY0339507002 / 394
2.$215,200NY0339509001 / 742
3.$167,900NY0894912001 / 2,869
4.$162,900NY0894920002 / 898
5.$162,500NY0339505021 / 672
6.$161,700NY0894917001 / 982
7.$160,100NY0894920001 / 784
8.$145,300NY0894902003 / 910
9.$137,500NY0894909001 / 552
10.$136,100NY0894920003 / 807
11.$132,100NY0339508002 / 1,390
12.$130,400NY0339400001 / 2,000
13.$124,300NY0894908002 / 779
14.$123,800NY0894909004 / 631
15.$120,100NY0894923004 / 120
16.$118,900NY0894921001 / 918
17.$118,800NY0339508001 / 1,500
18.$116,400NY0894904003 / 737
19.$115,100NY0894923003 / 1,636
20.$113,900NY0894923001 / 1,620
21.$113,800NY0894908003 / 1,382
22.$113,400NY0191018003 / 1,474
23.$112,900NY0894902004 / 744
24.$112,500NY0894908001 / 709
25.$110,800NY0894920005 / 831
26.$109,600NY0894910004 / 828
27.$103,400NY0894905003 / 1,184
28.$99,800NY0339511001 / 1,237
29.$98,200NY0894904002 / 1,527
30.$98,000NY0894903006 / 925
31.$97,400NY0894904001 / 883
31.$97,400NY0339400002 / 1,134
31.$97,400NY0894921002 / 2,115
34.$96,700NY0894923002 / 972
35.$95,900NY0894915001 / 618
36.$95,700NY0339501003 / 1,225
37.$93,800NY0339505012 / 1,019
38.$90,200NY0894921003 / 1,380
39.$89,400NY0894910002 / 1,225
40.$89,300NY0894913002 / 915
41.$89,100NY0894906001 / 1,189
42.$89,000NY0894907003 / 699
43.$88,000NY0894902002 / 830
44.$86,900NY0894923005 / 670
45.$86,600NY0894907002 / 2,468
46.$86,500NY0191004005 / 605
47.$85,900NY0191004003 / 1,112
47.$85,900NY0894909003 / 489
49.$85,600NY0339506001 / 937
50.$85,400NY0339506002 / 1,049
51.$84,500NY0894916002 / 714
52.$83,900NY0894903003 / 1,146
53.$83,200NY0339504001 / 1,781
54.$81,700NY0894909005 / 987
55.$80,600NY0894907004 / 1,585
56.$80,500NY0894906002 / 1,217
56.$80,500NY0894903004 / 1,238
58.$80,000NY0894905002 / 1,699
59.$79,500NY0339504002 / 853
59.$79,500NY0894913003 / 1,557
61.$79,100NY0339504005 / 720
62.$78,300NY0894914003 / 1,620
63.$78,000NY0339501002 / 973
64.$77,700NY0894913001 / 1,601
65.$77,400NY0894910003 / 812
66.$77,300NY0339503003 / 2,588
67.$77,000NY0191004004 / 794
68.$76,800NY0894920004 / 1,482
69.$76,600NY0894906003 / 1,163
70.$75,500NY0894903001 / 687
71.$75,000NY0894915002 / 675
72.$74,900NY0339501001 / 949
73.$74,700NY0339507001 / 1,063
74.$73,500NY0339503002 / 1,215
74.$73,500NY0339501004 / 1,271
74.$73,500NY0339504003 / 734
77.$73,200NY0894926003 / 1,400
78.$73,100NY0339505022 / 5,785
79.$72,600NY0894924001 / 575
80.$72,200NY0894915003 / 988
81.$72,100NY0894924003 / 847
82.$71,800NY0339503001 / 1,714
83.$71,500NY0339502004 / 811
84.$71,300NY0894917004 / 1,321
85.$70,600NY0894907001 / 1,356
86.$69,900NY0894917003 / 1,221
87.$69,300NY0894918002 / 1,341
88.$68,800NY0894901001 / 849
89.$68,700NY0894906004 / 1,062
90.$68,600NY0191004002 / 649
91.$67,900NY0339505013 / 1,642
91.$67,900NY0339503004 / 687
91.$67,900NY0894924002 / 1,346
94.$67,700NY0894905001 / 886
94.$67,700NY0894918001 / 1,684
96.$67,600NY0894918003 / 1,046
97.$67,500NY0894923006 / 1,032
98.$67,200NY0339502001 / 1,912
99.$66,900NY0894903002 / 855
100.$66,300NY0339502003 / 845
101.$66,100NY0894916001 / 1,034
102.$65,000NY0894901002 / 1,216
103.$64,400NY0339505011 / 946
104.$62,600NY0339502002 / 557
105.$62,400NY0894910001 / 1,597
106.$62,100NY0894901004 / 973
107.$61,100NY0339507003 / 1,031
108.$59,700NY0894902001 / 528
109.$59,300NY0894914001 / 1,337
109.$59,300NY0894915004 / 735
111.$58,900NY0894901003 / 527
112.$57,500NY0894916003 / 551
113.$56,800NY0339504004 / 593
114.$56,500NY0894903005 / 747
115.$55,300NY0894915005 / 796
116.$54,800NY0894909002 / 696
117.$52,700NY0894917002 / 857
118.$51,800NY0894902005 / 707
119.$45,100NY0894914002 / 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.


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