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Expensive Homes Near 29160 Zip Code

House Median Value Rank of City within 50 miles of Zip Code 29160

Based on ACS 2006-2010 data*

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

RankHouse Median Value ▼City / Population
1.$317,800Arcadia Lakes, SC / 927
2.$314,300Boykin, SC / 100
3.$308,100Lake Murray Of Richland, SC / 4,853
4.$301,500Blythewood, SC / 1,459
5.$181,000Forest Acres, SC / 10,412
6.$180,000Ridgeway, SC / 520
7.$174,000Aiken, SC / 28,807
8.$172,700Stateburg, SC / 1,486
9.$161,700Lexington, SC / 16,410
10.$157,100Little Mountain, SC / 288
11.$156,900Camden, SC / 6,805
12.$156,100Columbia, SC / 127,605
13.$145,500Springdale town, SC / 2,623
14.$141,900Gilbert, SC / 487
15.$140,800Pineridge, SC / 2,203
16.$138,000Cameron, SC / 456
17.$136,200Seven Oaks, SC / 16,332
18.$135,700Pelion, SC / 766
19.$135,400Trenton, SC / 157
20.$132,700Santee, SC / 909
21.$132,000West Columbia, SC / 14,668
22.$130,700Chapin, SC / 1,248
23.$130,100Elgin, SC / 1,587
24.$129,400Irmo, SC / 11,085
25.$129,200Summit, SC / 448
26.$123,500Orangeburg, SC / 13,855
27.$123,100Oak Grove, SC / 10,479
28.$120,400Saint George, SC / 1,994
29.$119,200Sumter, SC / 40,340
30.$118,400Lugoff, SC / 7,074
31.$116,000Lakewood, SC / 2,716
32.$115,600Cayce, SC / 12,319
33.$114,300Red Bank, SC / 10,084
34.$113,200Reevesville, SC / 209
35.$110,300Hopkins, SC / 3,061
36.$109,400Peak, SC / 42
37.$109,300Newberry, SC / 10,272
38.$108,500South Congaree, SC / 2,367
39.$108,300Smoaks, SC / 113
40.$107,300Batesburg-Leesville, SC / 5,288
41.$106,700Saint Andrews, SC / 20,835
42.$106,500Paxville, SC / 252
43.$106,300Prosperity, SC / 971
44.$104,800Privateer, SC / 2,052
45.$103,600Dalzell, SC / 3,226
46.$103,300Dentsville, SC / 13,475
47.$101,600Woodfield, SC / 10,054
48.$101,400Holly Hill, SC / 1,103
49.$101,100Johnston, SC / 2,471
50.$97,700Elloree, SC / 638
51.$96,600Manning, SC / 4,185
52.$95,800Graniteville, SC / 2,845
53.$95,700Saint Matthews, SC / 2,053
54.$95,000Bamberg, SC / 3,633
55.$93,900Pinewood, SC / 405
56.$92,800Ehrhardt, SC / 520
57.$92,600Oakland, SC / 1,361
58.$92,500Lodge, SC / 85
59.$92,000Eutawville, SC / 542
60.$85,000Monetta, SC / 247
61.$84,600New Ellenton, SC / 2,173
62.$84,400Ulmer, SC / 99
63.$84,000Gadsden, SC / 2,079
64.$83,900Summerton, SC / 1,030
65.$83,300Rowesville, SC / 409
66.$83,000Jenkinsville, SC / 40
67.$82,500Pomaria, SC / 149
68.$81,300Ward, SC / 89
69.$79,800Winnsboro, SC / 3,657
70.$79,300Cane Savannah, SC / 1,400
71.$79,200Barnwell, SC / 4,791
72.$78,800Oswego, SC / 45
73.$78,300Alcolu, SC / 293
74.$76,800Salley, SC / 323
75.$75,400Denmark, SC / 3,589
75.$75,400Ridge Spring, SC / 911
77.$75,000Branchville, SC / 980
78.$74,900Gaston, SC / 1,233
79.$74,800Swansea, SC / 807
80.$74,500Cope, SC / 146
81.$73,600East Sumter, SC / 1,131
82.$73,400Saluda, SC / 3,450
83.$72,600Eastover, SC / 630
84.$72,100Williston, SC / 3,165
84.$72,100Norway, SC / 260
86.$71,800Cordova, SC / 130
87.$71,000Warrenville, SC / 1,121
88.$70,600Govan, SC / 119
89.$69,500Springfield, SC / 494
90.$69,100Mulberry, SC / 330
91.$67,700Cherryvale, SC / 3,050
92.$66,500North, SC / 946
93.$64,600Wedgefield, SC / 1,389
94.$64,300Wilkinson Heights, SC / 2,274
95.$63,900Wagener, SC / 483
96.$62,700Langley, SC / 1,440
97.$62,400Brookdale, SC / 4,329
98.$62,200Edisto, SC / 2,361
99.$61,100Hilda, SC / 617
100.$60,600Kline, SC / 244
101.$58,800Gloverville, SC / 3,271
102.$56,100Winnsboro Mills, SC / 1,998
103.$55,000Neeses, SC / 264
103.$55,000Livingston, SC / 121
105.$52,600Blackville, SC / 3,287
106.$51,000Perry, SC / 138
107.$48,500Woodford, SC / 177
108.$48,200Rembert, SC / 222
109.$47,500Windsor, SC / 139
110.$46,800Snelling, SC / 290
111.$43,900Bowman, SC / 1,151
111.$43,900South Sumter, SC / 2,414
113.$43,800Vance, SC / 222
114.$39,200Olar, SC / 547
115.$37,900Elko, SC / 121

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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