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Poorest Cities by Income Near 54155 Zip Code

Median Household Income Rank of City within 50 miles of Zip Code 54155

Based on ACS 2006-2010 data*

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

RankMedian Household Income ▲City / Population
1.$16,544Keshena, WI / 1,069
2.$20,417Middle Village, WI / 206
2.$20,417Leopolis, WI / 47
4.$20,926Big Falls, WI / 120
5.$23,625Green Valley, WI / 152
6.$25,133Neopit, WI / 605
7.$25,658Tigerton, WI / 615
8.$26,250Zoar, WI / 293
9.$28,750Ogdensburg, WI / 233
10.$28,963Oconto Falls, WI / 2,907
11.$30,759Waupaca, WI / 6,012
12.$31,563Bowler, WI / 253
12.$31,563Nichols, WI / 131
14.$31,985Poy Sippi, WI / 699
15.$33,487Crivitz, WI / 834
16.$33,696Suring, WI / 518
17.$34,000Kellnersville, WI / 310
18.$35,724Clintonville, WI / 4,618
19.$35,789Iola, WI / 1,374
20.$35,875Gresham, WI / 574
21.$36,111Marion, WI / 1,362
22.$36,299Gillett, WI / 1,325
23.$36,451Oconto, WI / 4,600
24.$37,016Marinette, WI / 11,095
25.$37,313Hilbert, WI / 1,016
26.$37,500Coleman, WI / 721
27.$39,603Shawano, WI / 9,216
28.$40,453Menominee, MI / 8,689
29.$40,682Tilleda, WI / 52
30.$40,833Pound, WI / 393
31.$41,169Sturgeon Bay, WI / 9,198
32.$41,250Embarrass, WI / 364
32.$41,250Manawa, WI / 1,301
34.$41,727Algoma, WI / 3,216
35.$41,908Lena, WI / 469
36.$41,919Manitowoc, WI / 33,793
37.$42,125Pulcifer, WI / 164
38.$42,135Green Bay, WI / 103,960
39.$42,435Oshkosh, WI / 65,507
40.$42,833Mountain, WI / 224
41.$42,917Caroline, WI / 203
42.$43,566Denmark, WI / 2,049
43.$43,646Weyauwega, WI / 1,975
44.$43,750Bear Creek, WI / 454
45.$44,209New London, WI / 7,150
46.$44,375Saint Nazianz, WI / 793
47.$44,464Eureka, WI / 184
48.$44,702Kimberly, WI / 6,432
49.$44,861Little Sturgeon, WI / 155
50.$44,955Pulaski, WI / 3,768
51.$45,000Krakow, WI / 356
52.$45,851Peshtigo, WI / 3,455
53.$45,856New Holstein, WI / 3,281
54.$45,897Menasha, WI / 17,033
55.$46,250Casco, WI / 579
55.$46,250Cecil, WI / 759
57.$46,438Mishicot, WI / 1,282
58.$46,667Shiocton, WI / 755
59.$46,706Omro, WI / 3,456
60.$46,741Kewaunee, WI / 2,948
61.$46,875Pella, WI / 152
62.$47,316Kiel, WI / 3,918
63.$47,981Two Rivers, WI / 11,873
64.$48,523Black Creek, WI / 1,413
65.$48,750Forestville, WI / 508
66.$49,495Winneconne, WI / 2,018
67.$50,052Tustin, WI / 133
68.$50,125Bonduel, WI / 1,520
69.$50,536Fremont, WI / 754
70.$50,883Neenah, WI / 25,328
71.$50,984Chilton, WI / 3,916
72.$51,094Thornton, WI / 71
73.$51,275Appleton, WI / 72,620
74.$51,667Maribel, WI / 304
75.$51,771Valders, WI / 819
76.$52,083Waukau, WI / 215
77.$52,250Greenleaf, WI / 535
78.$52,477Ashwaubenon, WI / 17,108
79.$53,034Kaukauna, WI / 15,075
80.$53,329Seymour, WI / 3,445
81.$53,411De Pere, WI / 23,225
82.$53,500Brillion, WI / 3,137
83.$53,862Little Chute, WI / 10,493
84.$53,977Abrams, WI / 338
85.$54,327Reedsville, WI / 1,044
86.$54,438Sobieski, WI / 281
87.$54,625Van Dyne, WI / 376
88.$54,659Potter, WI / 169
89.$55,417Legend Lake, WI / 1,799
89.$55,417Elkhart Lake, WI / 924
91.$55,652Bellevue, WI / 14,053
92.$56,029Navarino, WI / 210
93.$56,607Whitelaw, WI / 764
94.$56,813Cleveland, WI / 1,383
95.$56,875Mount Calvary, WI / 456
96.$57,411Saint Cloud, WI / 460
97.$57,500Francis Creek, WI / 526
98.$57,904Luxemburg, WI / 2,421
99.$59,250Forest Junction, WI / 585
100.$59,338Stockbridge, WI / 790
101.$60,417Angelica, WI / 115
102.$60,938Collins, WI / 166
103.$61,240Howard, WI / 16,735
104.$61,734Allouez, WI / 14,246
105.$63,125Dyckesville, WI / 506
106.$66,738Hortonville, WI / 2,649
107.$67,773Wrightstown, WI / 2,702
108.$70,909Dale, WI / 496
109.$71,538Winchester, WI / 664
110.$72,100Combined Locks, WI / 3,185
111.$75,208Northport, WI / 516
112.$78,690Suamico, WI / 10,867
113.$80,724Saint Peter, WI / 1,369
114.$82,000Butte Des Morts, WI / 945
115.$82,069Hobart, WI / 5,993
116.$92,723Sherwood, WI / 2,531

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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