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House Median Value Rank of Census Tract within 50 miles of Census Tract VT007002302

Based on ACS 2006-2010 data*

A total of 116 results found. Show Results on Map.

RankHouse Median Value ▼Census Tract / Population
1.$506,300VT007000900 / 2,728
2.$473,900VT007003900 / 6,031
3.$460,500VT007003501 / 3,718
4.$412,300VT015953600 / 4,273
5.$388,800VT007003301 / 3,662
6.$351,900VT023955700 / 1,847
7.$344,000VT007003400 / 7,122
8.$313,000VT007002301 / 2,490
9.$309,200VT007001000 / 2,139
10.$306,900VT007000600 / 4,941
11.$306,200VT007000800 / 2,660
12.$298,400VT007003100 / 8,496
13.$296,100VT023955800 / 1,227
14.$294,700VT007001100 / 2,528
15.$282,100VT001960200 / 2,761
16.$275,500VT007002701 / 5,372
17.$267,900VT013020200 / 3,851
18.$267,800VT007002702 / 4,904
19.$265,900VT007000500 / 3,652
20.$262,200VT007002602 / 3,900
21.$261,000VT023954300 / 5,054
22.$256,200VT007003502 / 4,986
23.$255,300VT023955600 / 1,443
24.$255,200VT007002900 / 6,175
25.$254,900VT007002101 / 2,880
26.$253,000VT007003304 / 5,151
27.$249,400VT007002800 / 5,010
28.$249,100VT007000200 / 6,409
29.$245,200NY031960598 / 6,127
30.$243,500VT011010900 / 4,508
31.$243,400VT001960400 / 5,095
32.$241,800VT007002302 / 6,319
33.$239,600VT023954600 / 2,257
34.$237,100VT007003000 / 4,087
35.$234,900VT007002601 / 5,255
36.$232,000VT007002102 / 7,312
37.$231,700VT015953500 / 5,166
38.$228,400VT007003503 / 2,021
39.$227,200VT023954800 / 2,182
40.$226,800VT015953100 / 3,544
41.$226,600VT007000400 / 2,867
42.$226,500VT011011000 / 5,409
43.$226,400VT023954400 / 2,996
44.$225,900VT001960900 / 5,372
45.$224,500VT007000300 / 3,311
46.$224,200VT007004002 / 4,749
47.$223,000VT011010600 / 5,955
48.$221,600VT007000100 / 4,669
49.$220,000VT007003600 / 3,720
50.$218,900VT001960100 / 3,874
51.$218,300VT023954200 / 2,804
52.$217,800VT023954100 / 2,503
53.$217,600VT011010800 / 3,774
54.$214,900VT007002500 / 3,702
55.$214,200VT001960700 / 3,979
56.$212,400VT023955000 / 2,591
57.$211,000VT001960500 / 3,890
58.$206,300VT013020100 / 3,254
59.$205,300VT001960600 / 2,563
60.$200,800VT015953400 / 2,464
61.$200,200NY031960900 / 3,739
62.$200,000VT011010400 / 3,439
63.$199,800VT007002400 / 3,431
64.$198,900VT023955300 / 4,369
65.$196,700VT011010500 / 6,419
66.$196,100VT023954700 / 1,445
67.$190,300VT007002200 / 8,258
68.$189,300VT001960800 / 4,489
69.$186,600NY031960300 / 2,472
70.$185,800VT001961000 / 2,197
71.$185,400VT001960300 / 2,621
72.$183,900VT017959300 / 2,467
73.$182,600VT015953300 / 2,915
73.$182,600NY031960498 / 2,827
75.$181,100NY019101000 / 4,211
76.$177,200VT011010100 / 7,138
77.$176,700VT023954900 / 2,019
78.$175,300VT023954500 / 2,884
79.$170,500VT023955400 / 3,510
80.$168,000VT023955500 / 6,669
81.$164,800VT011010700 / 3,270
82.$158,500VT017959200 / 3,387
83.$156,900VT011010200 / 4,299
84.$156,300VT023955100 / 4,558
85.$155,100NY031961100 / 2,072
86.$150,900NY019100700 / 3,924
87.$149,500VT019951700 / 4,250
88.$149,400VT015953000 / 2,292
89.$149,300VT015953200 / 3,386
90.$148,000VT011010300 / 3,336
91.$147,500VT019951600 / 4,290
92.$138,700NY031960200 / 2,480
93.$137,500NY019101400 / 1,542
94.$136,100VT023955200 / 4,554
95.$131,200NY019102100 / 1,863
96.$130,700NY019100600 / 5,550
97.$128,700NY031960700 / 1,901
98.$128,100NY031960100 / 2,410
99.$128,000NY019100800 / 4,550
100.$125,900NY019100200 / 4,296
101.$124,600NY019101900 / 6,940
102.$124,300NY033950800 / 2,890
103.$123,100NY019100900 / 4,832
104.$122,800NY019101300 / 3,083
105.$120,600NY019101700 / 5,208
106.$119,800VT005957700 / 3,071
107.$118,900NY019100100 / 5,805
108.$113,100NY019101800 / 5,566
109.$99,700NY031960800 / 1,785
110.$96,300NY031961000 / 4,837
111.$93,200NY019102200 / 3,039
112.$91,100NY019100300 / 6,539
113.$90,600NY019102000 / 3,141
114.$85,500NY033950600 / 1,986
115.$83,100NY019100400 / 7,517
116.$32,600NY019101600 / 1,507

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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