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Median Household Income Rank of Census Tract within 50 miles of Census Tract NY033950502

Based on ACS 2006-2010 data*

A total of 51 results found. Show Results on Map.

RankMedian Household Income ▼Census Tract / Population
1.$71,563NY019101000 / 4,211
2.$70,709NY019100600 / 5,550
3.$57,434NY019100700 / 3,924
4.$56,516NY019101800 / 5,566
5.$55,733NY019100200 / 4,296
6.$55,529NY089490400 / 3,147
7.$54,707NY019101900 / 6,940
8.$54,444NY033951200 / 2,107
9.$54,423NY019102100 / 1,863
10.$54,211NY019101700 / 5,208
11.$53,875NY033950800 / 2,890
12.$53,438NY031960498 / 2,827
13.$51,623NY031960200 / 2,480
14.$50,833NY019100100 / 5,805
15.$49,960NY031960300 / 2,472
16.$49,913NY089492000 / 4,802
17.$49,470NY031960100 / 2,410
18.$49,187NY089492300 / 6,050
19.$49,040NY019101400 / 1,542
20.$47,227NY033950600 / 1,986
21.$46,404NY089490500 / 3,769
22.$45,272NY033950502 / 6,457
23.$44,796NY033950900 / 3,360
24.$44,730NY031960598 / 6,127
25.$44,556NY019100400 / 7,517
26.$43,831NY033951100 / 3,900
27.$43,777NY033940000 / 3,134
28.$43,594NY089490200 / 3,719
29.$43,224NY089491000 / 4,462
30.$41,968NY033950100 / 4,418
31.$41,528NY089492400 / 2,768
32.$40,944NY019100300 / 6,539
33.$40,750NY089490800 / 2,870
34.$40,455NY033950400 / 4,681
35.$40,333NY019101600 / 1,507
36.$40,191NY033950300 / 6,204
37.$39,560NY089490300 / 5,598
38.$39,140NY089490700 / 6,108
39.$38,688NY019102000 / 3,141
40.$38,559NY033950200 / 4,125
41.$37,525NY033951000 / 2,340
42.$37,305NY033950700 / 2,488
43.$37,224NY089490600 / 4,631
44.$36,754NY033950501 / 3,607
45.$33,500NY089490100 / 3,565
46.$32,455NY019100900 / 4,832
47.$25,387NY019102200 / 3,039
48.$24,401NY089490900 / 3,355
49.$24,385NY019101300 / 3,083
50.$24,302NY089491200 / 2,869
51.$5,972NY089491100 / 2,499

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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