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Louisiana Median Asian Household Income Zip Code Rank

Based on ACS 2008-2012 data*

A total of 144 results found. Show Results on Map.

RankMedian Asian Household Income ▼Zip / Population
1.$250,00170763 / 3,383
1.$250,00171119 / 12,463
1.$250,00170730 / 3,452
1.$250,00171104 / 15,093
1.$250,00170563 / 18,419
1.$250,00171342 / 8,322
7.$200,36870460 / 22,464
8.$188,08870360 / 27,234
9.$166,30270125 / 15,967
10.$160,72970471 / 21,186
11.$160,41770555 / 7,691
12.$143,34670819 / 4,891
13.$137,81370533 / 7,046
14.$115,07870726 / 52,037
15.$112,95570714 / 20,166
16.$110,57370047 / 13,175
17.$106,28870548 / 10,315
18.$96,46770448 / 24,692
19.$93,15570345 / 9,385
20.$90,83370122 / 29,038
21.$90,74171129 / 13,315
22.$90,11970634 / 24,595
23.$85,41770006 / 16,355
24.$84,38770810 / 37,064
25.$81,40670546 / 16,722
26.$80,93871457 / 27,356
27.$80,70570115 / 34,096
28.$78,96670070 / 12,567
29.$77,50071291 / 33,803
30.$76,87570706 / 21,809
31.$76,05870124 / 16,962
32.$74,53170087 / 8,861
33.$74,50971112 / 31,498
34.$74,29870809 / 23,909
35.$74,15070458 / 35,004
36.$73,75070737 / 38,135
37.$73,69870461 / 28,002
38.$73,33370119 / 35,187
39.$72,13570817 / 30,598
40.$71,62870769 / 36,601
41.$71,19270301 / 43,984
42.$69,21370734 / 7,249
43.$68,17771055 / 20,654
44.$68,12570605 / 34,234
45.$66,32270816 / 43,002
46.$66,10670778 / 2,101
47.$65,75071106 / 34,755
48.$65,39371118 / 26,071
49.$65,09970058 / 39,856
50.$64,56771409 / 6,736
51.$64,16770508 / 35,141
52.$63,38270578 / 16,086
53.$62,80070592 / 19,785
54.$61,56971360 / 35,443
55.$61,43870072 / 56,307
56.$59,68871303 / 20,376
57.$59,37571203 / 36,563
58.$58,93571201 / 19,957
59.$58,87570065 / 50,957
60.$58,24371078 / 5,608
61.$58,12571486 / 5,909
62.$58,03670123 / 26,574
63.$57,33370380 / 22,044
64.$57,05070814 / 14,478
65.$57,00770791 / 24,659
66.$56,25070005 / 24,552
67.$55,79970075 / 4,196
68.$55,10471446 / 23,082
69.$54,37571115 / 14,342
70.$54,23170601 / 31,251
71.$53,66470094 / 32,218
72.$52,75070808 / 33,223
73.$51,62071292 / 19,821
74.$50,49470037 / 16,093
75.$50,46971047 / 12,196
76.$49,97170002 / 18,657
77.$49,89670560 / 42,664
78.$49,64370113 / 6,988
79.$49,49270003 / 39,449
80.$48,67370056 / 38,903
81.$48,46770506 / 43,584
82.$46,90670001 / 38,019
83.$46,64170343 / 4,536
84.$46,44270710 / 3,676
85.$46,29570806 / 28,253
86.$45,00070544 / 11,837
87.$44,83371037 / 19,165
88.$44,61570128 / 16,882
89.$44,16771459 / 11,631
90.$43,75070130 / 12,780
91.$42,32170648 / 8,229
92.$42,27371270 / 30,816
93.$42,11570062 / 17,242
94.$42,10770815 / 30,382
95.$41,81870127 / 20,329
96.$41,65970401 / 21,553
97.$41,48471463 / 10,331
98.$40,40370131 / 28,411
99.$39,32770510 / 25,473
100.$39,31870433 / 31,693
101.$38,33371351 / 10,838
102.$37,00070647 / 8,645
103.$36,32070126 / 21,569
104.$36,04270032 / 3,687
105.$35,44170802 / 26,737
106.$35,13970114 / 24,794
107.$34,82670538 / 15,563
108.$34,68870129 / 8,806
109.$34,37570503 / 27,577
110.$33,96670820 / 17,050
111.$33,56571108 / 18,572
112.$32,94470518 / 12,154
113.$31,98970116 / 11,644
114.$31,46370043 / 16,663
115.$31,25071373 / 7,018
116.$31,08970364 / 30,007
117.$29,50071052 / 10,224
118.$28,38871105 / 22,299
119.$28,17371301 / 22,830
120.$26,75071469 / 3,108
121.$26,62571461 / 2,558
122.$26,45870121 / 11,945
123.$25,70971111 / 38,999
124.$24,46870118 / 33,797
125.$24,44470663 / 28,195
126.$24,21970535 / 18,459
127.$23,89771403 / 4,721
128.$21,96470607 / 25,818
129.$19,37571263 / 7,853
129.$19,37570053 / 16,554
131.$15,79571433 / 3,913
132.$15,75070359 / 7,781
133.$14,87570112 / 3,452
134.$14,55070582 / 19,741
135.$11,59470041 / 1,843
136.$6,87571462 / 1,016
137.$6,14670517 / 25,431
138.$4,51970570 / 40,667
139.$2,49970092 / 7,227
139.$2,49971430 / 2,764
139.$2,49970357 / 3,479
139.$2,49970392 / 8,297
139.$2,49971322 / 6,888
139.$2,49971435 / 3,947

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