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Median Household Income Rank of Census Tract within 50 miles of Census Tract NY007012202

Based on ACS 2006-2010 data*

A total of 185 results found. Show Results on Map.

RankMedian Household Income ▼Census Tract / Population
1.$139,306NY109000300 / 1,657
2.$115,625PA069110402 / 2,487
3.$82,754PA069110401 / 6,061
4.$78,247NY007014302 / 9,570
5.$75,817NY109001200 / 4,520
6.$75,288NY007013000 / 4,410
7.$74,113NY107020402 / 4,427
8.$71,908NY067016801 / 1,979
9.$71,509NY067016901 / 2,719
10.$69,208NY007013303 / 2,909
11.$68,947NY067016902 / 2,277
12.$68,029NY007012702 / 4,941
13.$67,961NY007013304 / 6,459
14.$67,453NY007014600 / 5,184
15.$65,612NY109001500 / 5,638
16.$65,559NY109000600 / 5,164
17.$64,375NY109001400 / 3,744
18.$63,617NY107020300 / 6,686
19.$62,857NY109001600 / 4,263
20.$62,844NY007014400 / 4,573
21.$62,807NY109000500 / 4,493
22.$62,224PA069110500 / 5,192
23.$62,139NY109002000 / 4,077
24.$62,034NY107020401 / 5,008
25.$61,838NY023970300 / 3,269
26.$61,684NY109002300 / 5,591
27.$61,538PA069110201 / 4,082
28.$61,336NY007012102 / 4,090
29.$60,817NY007014301 / 5,321
30.$60,350NY007012103 / 3,479
31.$59,650NY105950300 / 1,238
32.$58,523NY007012900 / 1,034
33.$55,795NY007012201 / 2,641
34.$55,647PA131400400 / 4,273
35.$55,000PA069110300 / 4,133
36.$54,875NY007011902 / 2,727
37.$54,800NY007014500 / 3,375
38.$54,745NY023971200 / 3,928
39.$54,648NY053030700 / 7,064
40.$54,483NY109002100 / 4,424
41.$54,337NY109002200 / 4,764
42.$53,826NY109001900 / 5,822
43.$53,520PA069110202 / 4,849
44.$53,138NY011040900 / 3,734
45.$52,861NY007010200 / 5,390
46.$52,736NY023970400 / 2,827
47.$52,647NY007014200 / 3,173
48.$52,546NY007012701 / 5,528
49.$52,109NY053030900 / 3,716
50.$51,958NY023970700 / 4,533
51.$51,913NY007013301 / 4,736
52.$51,563NY007001500 / 4,953
53.$51,417NY007001600 / 2,638
54.$51,360NY007013202 / 3,460
55.$51,317NY007012101 / 3,708
56.$51,288NY107020500 / 3,899
57.$51,192NY007012600 / 5,822
58.$51,010PA115032100 / 3,918
59.$50,929NY023971000 / 5,619
60.$50,893NY007012300 / 5,257
61.$50,865NY107020701 / 3,143
62.$50,781NY025970300 / 2,369
63.$50,448NY023970200 / 5,888
64.$50,321NY015011000 / 4,224
65.$50,297NY077590800 / 5,205
66.$50,250PA127960400 / 3,682
67.$50,197PA069111100 / 6,855
68.$50,156NY007012000 / 1,630
69.$50,107NY007012800 / 5,317
70.$49,768NY109000900 / 3,556
71.$49,750NY025970800 / 4,520
72.$49,321PA131400500 / 4,115
73.$49,153NY109001300 / 6,290
74.$49,152NY107020200 / 5,321
75.$48,829NY107020100 / 6,567
76.$48,542NY017970801 / 3,964
77.$48,527NY109001800 / 5,141
78.$48,510NY077591200 / 2,331
79.$48,449PA115032000 / 3,317
80.$48,221NY077590400 / 5,917
81.$48,208NY053031000 / 5,809
82.$48,031NY017970802 / 3,690
83.$47,772PA127960500 / 3,675
84.$47,734NY077591400 / 5,573
85.$47,721PA127960300 / 1,968
86.$47,611NY107020702 / 4,409
87.$47,591NY017970200 / 4,665
88.$47,564NY017970700 / 2,340
89.$47,500NY053030800 / 3,636
90.$47,474NY023970100 / 4,081
91.$47,361PA115032500 / 4,304
92.$47,328NY017970100 / 6,074
93.$47,246NY007012500 / 6,304
94.$46,828NY023971100 / 4,583
95.$46,793NY007011903 / 2,742
96.$46,779PA127960200 / 2,857
97.$46,473NY017970602 / 4,066
98.$46,362NY017970601 / 4,342
99.$46,200PA015950800 / 4,070
100.$45,958NY077591500 / 3,498
101.$45,900NY077591600 / 4,437
102.$45,833NY007012202 / 4,074
103.$45,798PA015951200 / 5,026
104.$45,257NY017971000 / 3,630
105.$45,068NY015010100 / 3,091
106.$44,892PA115032400 / 4,533
107.$44,828PA015951100 / 2,799
108.$44,806NY077590500 / 3,041
109.$44,556NY007011901 / 2,954
110.$44,500PA069110600 / 2,933
111.$44,466NY107020600 / 7,415
112.$44,412PA131400100 / 3,367
113.$43,809PA115032901 / 3,913
114.$43,788PA131400600 / 3,607
115.$43,705PA115032800 / 4,842
116.$43,443NY109001700 / 4,201
117.$43,367NY007013201 / 2,009
118.$43,347PA131400300 / 4,551
119.$43,125PA015950500 / 6,369
120.$43,049NY017970500 / 5,623
121.$43,013NY109000700 / 4,060
122.$42,625NY007013800 / 3,478
123.$42,281NY023970500 / 3,780
124.$42,097NY025970400 / 5,864
125.$42,031PA115032600 / 5,119
126.$41,833PA115032200 / 4,461
127.$41,804NY025971300 / 2,310
128.$41,801PA015950200 / 5,159
129.$41,667NY109001100 / 4,696
130.$41,500NY007013100 / 2,728
131.$41,078NY007000700 / 3,910
132.$40,752NY017970900 / 5,348
133.$40,652NY007001700 / 4,402
134.$40,588NY053031100 / 2,530
135.$40,399PA015950100 / 4,568
136.$40,375PA015950900 / 5,040
137.$40,271PA115032700 / 3,452
138.$40,167PA069111000 / 2,278
139.$40,163NY007012400 / 2,475
140.$39,511NY007014100 / 3,014
141.$39,417NY025970600 / 5,603
142.$39,179NY107020703 / 4,502
143.$38,773NY077590900 / 2,726
144.$38,730NY007013400 / 4,068
145.$38,500PA069110100 / 2,793
146.$37,775NY025970500 / 4,562
147.$37,195PA115032300 / 3,737
148.$36,799PA015951000 / 2,933
149.$36,743NY025971400 / 3,282
150.$36,500NY077591000 / 3,170
151.$36,140PA127960100 / 1,297
152.$35,500NY007013700 / 3,596
153.$35,417PA069110700 / 1,976
154.$35,326NY109001000 / 4,222
155.$34,875NY023970800 / 3,004
156.$34,221PA015950300 / 5,616
157.$34,159NY109000800 / 2,338
158.$33,618PA115032902 / 1,747
159.$33,353PA069110900 / 3,202
160.$31,982NY017970300 / 3,849
161.$31,667NY007000900 / 1,673
162.$31,146PA015950400 / 3,362
163.$31,023NY023970900 / 5,049
164.$30,905NY007000400 / 2,456
165.$30,850PA069110800 / 3,824
166.$30,500NY023970600 / 2,891
167.$30,054NY007000200 / 3,450
168.$29,857NY017970400 / 3,454
169.$29,710NY007013600 / 3,746
170.$29,361NY109000400 / 4,806
171.$28,977NY007001400 / 3,862
172.$27,153NY007000600 / 2,285
173.$27,139NY007001800 / 4,466
174.$26,283NY007000300 / 3,320
175.$25,945NY007000100 / 2,788
176.$25,426NY007013500 / 1,910
177.$23,980NY007014000 / 3,161
178.$21,895NY007000500 / 1,822
179.$21,773NY007013900 / 2,420
180.$19,809NY109000100 / 1,479
181.$19,763NY077591100 / 3,221
182.$18,299NY007001300 / 3,000
183.$16,985NY109000200 / 5,666
184.$16,824NY007001100 / 1,493
185.$9,892NY007001200 / 873

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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