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Expensive Homes Near 54155 Zip Code

House Median Value Rank of City within 50 miles of Zip Code 54155

Based on ACS 2006-2010 data*

A total of 115 results found. Show Results on Map.

RankHouse Median Value ▼City / Population
1.$277,800Little Sturgeon, WI / 155
2.$227,100Dyckesville, WI / 506
3.$226,300Hobart, WI / 5,993
4.$214,000Butte Des Morts, WI / 945
5.$212,500Suamico, WI / 10,867
6.$211,400Saint Peter, WI / 1,369
7.$208,700Sherwood, WI / 2,531
8.$207,500Dale, WI / 496
9.$202,000Sobieski, WI / 281
10.$176,700Howard, WI / 16,735
11.$176,500Winchester, WI / 664
12.$175,000Elkhart Lake, WI / 924
13.$173,400Wrightstown, WI / 2,702
14.$170,900Bellevue, WI / 14,053
15.$169,100Combined Locks, WI / 3,185
16.$165,100De Pere, WI / 23,225
17.$159,900Tustin, WI / 133
18.$158,300Pulcifer, WI / 164
19.$157,900Ashwaubenon, WI / 17,108
20.$156,100Allouez, WI / 14,246
21.$154,900Luxemburg, WI / 2,421
22.$152,500Waukau, WI / 215
23.$146,300Hortonville, WI / 2,649
24.$144,200Stockbridge, WI / 790
25.$144,100Casco, WI / 579
26.$143,600Winneconne, WI / 2,018
27.$142,300Seymour, WI / 3,445
28.$141,700Francis Creek, WI / 526
29.$139,900Little Chute, WI / 10,493
30.$139,700Mountain, WI / 224
31.$138,800Fremont, WI / 754
32.$138,400Sturgeon Bay, WI / 9,198
33.$138,300Appleton, WI / 72,620
34.$137,400Kaukauna, WI / 15,075
35.$136,800Van Dyne, WI / 376
36.$136,500Northport, WI / 516
37.$136,400Mount Calvary, WI / 456
38.$134,300Denmark, WI / 2,049
39.$132,100Green Bay, WI / 103,960
40.$131,800Cleveland, WI / 1,383
41.$131,200Kiel, WI / 3,918
42.$130,800Kimberly, WI / 6,432
42.$130,800Pulaski, WI / 3,768
44.$130,700Legend Lake, WI / 1,799
45.$129,900Neenah, WI / 25,328
46.$129,500Whitelaw, WI / 764
46.$129,500Saint Cloud, WI / 460
48.$128,900Forestville, WI / 508
49.$127,600Saint Nazianz, WI / 793
50.$126,100Abrams, WI / 338
51.$124,300Black Creek, WI / 1,413
52.$123,400Brillion, WI / 3,137
53.$121,100Pella, WI / 152
54.$120,900Omro, WI / 3,456
55.$120,700Cecil, WI / 759
56.$120,500Navarino, WI / 210
57.$120,100Menasha, WI / 17,033
58.$119,000Valders, WI / 819
59.$118,400Oshkosh, WI / 65,507
60.$117,200Bonduel, WI / 1,520
61.$117,000Angelica, WI / 115
62.$116,700Greenleaf, WI / 535
62.$116,700New Holstein, WI / 3,281
62.$116,700Forest Junction, WI / 585
65.$116,600New London, WI / 7,150
66.$116,300Reedsville, WI / 1,044
67.$116,200Shiocton, WI / 755
68.$116,100Maribel, WI / 304
69.$114,800Potter, WI / 169
70.$114,500Krakow, WI / 356
71.$113,700Chilton, WI / 3,916
72.$111,200Lena, WI / 469
73.$110,900Weyauwega, WI / 1,975
74.$110,000Waupaca, WI / 6,012
75.$108,700Mishicot, WI / 1,282
76.$108,600Manitowoc, WI / 33,793
77.$107,500Kewaunee, WI / 2,948
77.$107,500Ogdensburg, WI / 233
79.$107,000Big Falls, WI / 120
80.$105,600Peshtigo, WI / 3,455
81.$105,400Eureka, WI / 184
82.$104,700Crivitz, WI / 834
83.$103,900Hilbert, WI / 1,016
84.$101,500Embarrass, WI / 364
85.$100,000Shawano, WI / 9,216
86.$99,400Oconto Falls, WI / 2,907
87.$99,300Iola, WI / 1,374
88.$98,800Thornton, WI / 71
89.$98,400Poy Sippi, WI / 699
90.$98,100Two Rivers, WI / 11,873
91.$97,900Algoma, WI / 3,216
92.$97,700Manawa, WI / 1,301
93.$95,200Coleman, WI / 721
94.$92,700Bear Creek, WI / 454
94.$92,700Gillett, WI / 1,325
96.$91,500Clintonville, WI / 4,618
97.$88,500Oconto, WI / 4,600
98.$87,400Caroline, WI / 203
99.$86,900Bowler, WI / 253
100.$85,900Pound, WI / 393
101.$85,200Gresham, WI / 574
102.$84,300Collins, WI / 166
103.$83,300Kellnersville, WI / 310
104.$82,100Marion, WI / 1,362
105.$81,700Green Valley, WI / 152
106.$81,400Nichols, WI / 131
107.$81,200Tigerton, WI / 615
108.$78,200Marinette, WI / 11,095
109.$76,300Menominee, MI / 8,689
110.$75,900Suring, WI / 518
111.$69,500Tilleda, WI / 52
112.$62,300Neopit, WI / 605
113.$49,800Keshena, WI / 1,069
114.$46,700Leopolis, WI / 47
115.$24,800Middle Village, WI / 206

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