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Median Household Income Rank of Census Tract within 50 miles of Census Tract VT007000100

Based on ACS 2006-2010 data*

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

RankMedian Household Income ▼Census Tract / Population
1.$132,292VT007003301 / 3,662
2.$92,431VT007003501 / 3,718
3.$87,500VT007002800 / 5,010
4.$84,531VT007003400 / 7,122
5.$82,867VT007002701 / 5,372
6.$82,210VT007002900 / 6,175
7.$82,070VT007002702 / 4,904
8.$75,428VT007003000 / 4,087
9.$73,097VT023955300 / 4,369
10.$72,554VT011010900 / 4,508
11.$72,373VT007003100 / 8,496
12.$72,006VT007003502 / 4,986
13.$71,962VT007002302 / 6,319
14.$71,797VT007002602 / 3,900
15.$71,563NY019101000 / 4,211
16.$70,709NY019100600 / 5,550
17.$68,945VT011011000 / 5,409
18.$68,274VT007002301 / 2,490
19.$68,125VT001960100 / 3,874
20.$66,944VT023955800 / 1,227
21.$66,930VT007002101 / 2,880
22.$66,129VT007001100 / 2,528
23.$66,106VT011010600 / 5,955
24.$65,450VT007003503 / 2,021
25.$65,054VT001960400 / 5,095
26.$64,727VT013020200 / 3,851
27.$64,514VT023955600 / 1,443
28.$63,750VT007002102 / 7,312
29.$63,693VT023954400 / 2,996
30.$63,438VT001960200 / 2,761
31.$62,976VT007000200 / 6,409
32.$61,889VT023954200 / 2,804
33.$61,880VT007003304 / 5,151
34.$61,741VT015953100 / 3,544
35.$61,402VT023955000 / 2,591
36.$60,452VT023954300 / 5,054
37.$60,344VT001960900 / 5,372
38.$60,250VT023955700 / 1,847
39.$58,869VT023955400 / 3,510
40.$58,393VT023954100 / 2,503
41.$57,434NY019100700 / 3,924
42.$57,328VT023954500 / 2,884
43.$56,902VT023954600 / 2,257
44.$56,888VT023954700 / 1,445
45.$56,585NY019100800 / 4,550
46.$56,516NY019101800 / 5,566
47.$56,250VT015953600 / 4,273
48.$55,961VT023955500 / 6,669
49.$55,954VT015953500 / 5,166
50.$55,904VT011010800 / 3,774
51.$55,875VT007004002 / 4,749
52.$55,733NY019100200 / 4,296
53.$54,813VT015953300 / 2,915
54.$54,707NY019101900 / 6,940
55.$54,637VT007003900 / 6,031
56.$54,423NY019102100 / 1,863
57.$54,388VT007002601 / 5,255
58.$54,231VT011010400 / 3,439
59.$54,211NY019101700 / 5,208
60.$53,875NY033950800 / 2,890
61.$53,706VT023954000 / 4,467
62.$53,438NY031960498 / 2,827
62.$53,438VT007002200 / 8,258
64.$53,378NY031961100 / 2,072
65.$52,472VT001960300 / 2,621
66.$52,250VT011010500 / 6,419
67.$51,865VT007003600 / 3,720
68.$51,623NY031960200 / 2,480
69.$51,518VT007000100 / 4,669
70.$51,475VT013020100 / 3,254
71.$51,453VT023954900 / 2,019
72.$51,438NY031960900 / 3,739
73.$51,378VT001960600 / 2,563
74.$50,833NY019100100 / 5,805
75.$50,801VT001960500 / 3,890
76.$50,670VT007000800 / 2,660
77.$50,640VT017959300 / 2,467
78.$50,475VT017959200 / 3,387
79.$50,273VT011010100 / 7,138
80.$49,960NY031960300 / 2,472
81.$49,470NY031960100 / 2,410
82.$49,040NY019101400 / 1,542
83.$48,831VT015953000 / 2,292
84.$48,689VT015953400 / 2,464
85.$48,517VT011010200 / 4,299
86.$47,625NY031960700 / 1,901
87.$47,227NY033950600 / 1,986
88.$46,515VT001960700 / 3,979
89.$46,395VT001961000 / 2,197
90.$45,020NY031960800 / 1,785
91.$45,014VT001960800 / 4,489
92.$44,730NY031960598 / 6,127
93.$44,556NY019100400 / 7,517
94.$44,223VT007002400 / 3,431
95.$43,011VT023954800 / 2,182
96.$42,076VT019951700 / 4,250
97.$41,848VT007002500 / 3,702
98.$41,194VT021962200 / 3,967
99.$40,944NY019100300 / 6,539
100.$40,709VT005957700 / 3,071
101.$40,333NY019101600 / 1,507
102.$40,169NY031961000 / 4,837
103.$39,435VT007000600 / 4,941
104.$38,688NY019102000 / 3,141
105.$37,745VT011010300 / 3,336
106.$37,133VT023955200 / 4,554
107.$35,608NY031961200 / 5,077
108.$35,118VT007000900 / 2,728
109.$34,962VT023955100 / 4,558
110.$34,932VT011010700 / 3,270
111.$34,336VT007000300 / 3,311
112.$32,455NY019100900 / 4,832
113.$28,092VT007000500 / 3,652
114.$27,808VT015953200 / 3,386
115.$26,667VT027965300 / 252
116.$25,822VT007000400 / 2,867
117.$25,431VT007001000 / 2,139
118.$25,387NY019102200 / 3,039
119.$24,385NY019101300 / 3,083

Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median Household Income' 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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