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Poorest Cities by Income Near 54115 Zip Code

Median Household Income Rank of City within 50 miles of Zip Code 54115

Based on ACS 2006-2010 data*

A total of 115 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.$23,625Green Valley, WI / 152
5.$23,750Greenbush, WI / 98
6.$28,963Oconto Falls, WI / 2,907
7.$31,563Nichols, WI / 131
8.$31,985Poy Sippi, WI / 699
9.$33,696Suring, WI / 518
10.$34,000Kellnersville, WI / 310
11.$35,724Clintonville, WI / 4,618
12.$35,875Gresham, WI / 574
13.$36,111Marion, WI / 1,362
14.$36,299Gillett, WI / 1,325
15.$36,451Oconto, WI / 4,600
16.$37,313Hilbert, WI / 1,016
17.$37,500Coleman, WI / 721
18.$39,603Shawano, WI / 9,216
19.$40,682Tilleda, WI / 52
20.$40,833Pound, WI / 393
21.$41,169Sturgeon Bay, WI / 9,198
22.$41,250Manawa, WI / 1,301
22.$41,250Embarrass, WI / 364
24.$41,727Algoma, WI / 3,216
25.$41,908Lena, WI / 469
26.$41,919Manitowoc, WI / 33,793
27.$42,125Pulcifer, WI / 164
28.$42,135Green Bay, WI / 103,960
29.$42,435Oshkosh, WI / 65,507
30.$42,708Sheboygan, WI / 49,734
31.$42,917Caroline, WI / 203
32.$43,318Plymouth, WI / 8,372
33.$43,566Denmark, WI / 2,049
34.$43,646Weyauwega, WI / 1,975
35.$43,750Bear Creek, WI / 454
36.$44,128Fond Du Lac, WI / 42,898
37.$44,209New London, WI / 7,150
38.$44,375Saint Nazianz, WI / 793
39.$44,464Eureka, WI / 184
40.$44,702Kimberly, WI / 6,432
41.$44,861Little Sturgeon, WI / 155
42.$44,955Pulaski, WI / 3,768
43.$45,000Krakow, WI / 356
44.$45,851Peshtigo, WI / 3,455
45.$45,856New Holstein, WI / 3,281
46.$45,897Menasha, WI / 17,033
47.$46,250Cecil, WI / 759
47.$46,250Casco, WI / 579
49.$46,438Mishicot, WI / 1,282
50.$46,667Shiocton, WI / 755
51.$46,706Omro, WI / 3,456
52.$46,741Kewaunee, WI / 2,948
53.$46,875Pella, WI / 152
54.$47,316Kiel, WI / 3,918
55.$47,981Two Rivers, WI / 11,873
56.$48,523Black Creek, WI / 1,413
57.$48,750Forestville, WI / 508
58.$49,056North Fond Du Lac, WI / 4,935
59.$49,495Winneconne, WI / 2,018
60.$50,052Tustin, WI / 133
61.$50,125Bonduel, WI / 1,520
62.$50,536Fremont, WI / 754
63.$50,883Neenah, WI / 25,328
64.$50,984Chilton, WI / 3,916
65.$51,094Thornton, WI / 71
66.$51,250Glenbeulah, WI / 499
67.$51,275Appleton, WI / 72,620
68.$51,667Maribel, WI / 304
69.$51,771Valders, WI / 819
70.$51,968Sheboygan Falls, WI / 7,608
71.$52,083Waukau, WI / 215
72.$52,250Greenleaf, WI / 535
73.$52,477Ashwaubenon, WI / 17,108
74.$53,034Kaukauna, WI / 15,075
75.$53,329Seymour, WI / 3,445
76.$53,411De Pere, WI / 23,225
77.$53,500Brillion, WI / 3,137
78.$53,862Little Chute, WI / 10,493
79.$53,977Abrams, WI / 338
80.$54,327Reedsville, WI / 1,044
81.$54,438Sobieski, WI / 281
82.$54,625Van Dyne, WI / 376
83.$54,659Potter, WI / 169
84.$55,417Legend Lake, WI / 1,799
84.$55,417Elkhart Lake, WI / 924
86.$55,652Bellevue, WI / 14,053
87.$56,029Navarino, WI / 210
88.$56,607Whitelaw, WI / 764
89.$56,813Cleveland, WI / 1,383
90.$56,875Mount Calvary, WI / 456
91.$57,411Saint Cloud, WI / 460
92.$57,500Francis Creek, WI / 526
93.$57,904Luxemburg, WI / 2,421
94.$59,250Forest Junction, WI / 585
95.$59,338Stockbridge, WI / 790
96.$60,417Angelica, WI / 115
97.$60,938Collins, WI / 166
98.$61,240Howard, WI / 16,735
99.$61,734Allouez, WI / 14,246
100.$62,536Rosendale, WI / 1,100
101.$63,125Dyckesville, WI / 506
102.$66,516Howards Grove, WI / 3,126
103.$66,738Hortonville, WI / 2,649
104.$67,773Wrightstown, WI / 2,702
105.$70,909Dale, WI / 496
106.$71,538Winchester, WI / 664
107.$72,100Combined Locks, WI / 3,185
108.$75,208Northport, WI / 516
109.$77,946Kohler, WI / 2,046
110.$78,690Suamico, WI / 10,867
111.$80,724Saint Peter, WI / 1,369
112.$82,000Butte Des Morts, WI / 945
113.$82,069Hobart, WI / 5,993
114.$92,554Taycheedah, WI / 570
115.$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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