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Expensive Homes Near Waterloo%2C OH

House Median Value Rank of City within 50 miles of Waterloo, OH

Based on ACS 2006-2010 data*

A total of 113 results found. Show Results on Map.

RankHouse Median Value ▼City / Population
1.$541,700Kanauga, OH / 126
2.$190,800Bellefonte, KY / 757
3.$184,600Teays Valley, WV / 13,659
4.$164,500Athens, OH / 23,484
5.$158,900Stockdale, OH / 173
6.$149,300Winfield, WV / 2,670
7.$148,500Russell, KY / 3,414
8.$135,900Pea Ridge, WV / 6,893
9.$132,500The Plains, OH / 3,115
10.$127,100Minford, OH / 516
11.$124,200Lucasville, OH / 1,421
12.$122,500Athalia, OH / 326
13.$122,200Cross Lanes, WV / 9,221
14.$121,800South Webster, OH / 854
15.$121,500Salt Rock, WV / 199
16.$120,100Eleanor, WV / 1,669
17.$118,100Gallipolis, OH / 3,560
18.$117,500Hurricane, WV / 6,264
19.$115,100Poca, WV / 1,243
20.$113,300Piketon, OH / 1,874
21.$109,700Upper Falls, WV / 3,768
22.$108,200South Point, OH / 3,773
23.$107,700Waverly City, OH / 4,468
24.$107,000Rosemount, OH / 2,198
25.$106,300Chillicothe, OH / 21,996
25.$106,300Wheelersburg, OH / 7,099
27.$105,700Culloden, WV / 2,795
28.$102,100Barboursville, WV / 3,780
29.$102,000Franklin Furnace, OH / 1,678
30.$101,700Friendship, OH / 323
31.$100,900Prichard, WV / 504
32.$100,800Ravenswood, WV / 3,918
33.$99,800Ceredo, WV / 1,883
34.$97,300Saint Albans, WV / 11,071
35.$96,700Hanging Rock, OH / 173
35.$96,700Rio Grande, OH / 1,210
37.$96,300Albany, OH / 785
38.$94,700Ripley, WV / 3,310
39.$93,500Tuppers Plains, OH / 264
40.$93,200Clarktown, OH / 888
41.$92,400Jackson, OH / 6,368
42.$90,800Raceland, KY / 2,563
43.$90,200Ashland, KY / 21,613
44.$90,000Crown City, OH / 412
45.$89,800Milton, WV / 2,510
46.$89,700Dunbar, WV / 7,866
47.$87,800Lavalette, WV / 707
48.$87,600Apple Grove, WV / 163
49.$87,500Nitro, WV / 7,083
50.$87,300Worthington, KY / 1,559
51.$86,900Greenup, KY / 1,312
51.$86,900Westwood CDP, KY / 4,596
53.$86,700Grayson, KY / 4,216
54.$85,700Hometown, WV / 617
55.$85,000Alum Creek, WV / 1,391
56.$84,600Syracuse, OH / 944
57.$84,300Chesapeake, OH / 968
58.$83,300Burlington, OH / 2,516
59.$83,200Richmond Dale, OH / 206
60.$82,900Ironton, OH / 11,143
61.$81,800New Haven, WV / 1,706
62.$81,500Huntington, WV / 49,228
63.$80,900Zaleski, OH / 234
64.$80,600Flatwoods, KY / 7,420
65.$80,500Buffalo, WV / 1,274
66.$80,100Point Pleasant, WV / 4,400
67.$79,700Peebles, OH / 2,087
67.$79,700Proctorville, OH / 673
69.$79,000Wellston, OH / 5,737
70.$78,900Cheshire, OH / 141
70.$78,900Beaver, OH / 460
72.$78,100Mcarthur, OH / 1,482
73.$77,500Fort Gay, WV / 771
74.$75,700Louisa, KY / 2,907
75.$74,300Wayne, WV / 1,848
75.$74,300West Hamlin, WV / 667
77.$73,900Racine, OH / 779
78.$73,100Wilkesville, OH / 102
79.$72,300Hamden, OH / 988
80.$71,900Kenova, WV / 3,273
81.$71,700New Marshfield, OH / 158
81.$71,700Jefferson, WV / 411
83.$71,500Oak Hill, OH / 1,767
84.$70,600Henderson, WV / 240
85.$69,400Portsmouth, OH / 20,244
86.$69,300Bancroft, WV / 252
87.$68,100Hamlin, WV / 1,224
88.$68,000Centerville Village, OH / 153
89.$65,400Gallipolis Ferry, WV / 915
90.$65,100Wurtland, KY / 1,079
91.$65,000Coalton, OH / 440
91.$65,000Cannonsburg, KY / 765
93.$64,800Sciotodale, OH / 745
94.$63,700Olive Hill, KY / 1,859
95.$63,600Lesage, WV / 1,316
96.$63,400Rarden, OH / 229
96.$63,400Mason, WV / 1,056
98.$63,200Coal Grove, OH / 2,094
98.$63,200South Shore, KY / 1,314
100.$60,800Vinton, OH / 295
101.$60,000Hartford City, WV / 702
102.$58,200West Portsmouth, OH / 3,092
102.$58,200Mcdermott, OH / 203
102.$58,200Otway, OH / 121
105.$57,900Middleport, OH / 2,526
106.$57,500Leon, WV / 149
107.$56,800Pomeroy, OH / 1,680
108.$52,800Garrison, KY / 788
109.$52,300Catlettsburg, KY / 2,011
110.$51,800New Boston, OH / 2,308
111.$48,000Rutland, OH / 450
112.$39,600Vanceburg, KY / 1,997
113.$37,500Rome Village, OH / 108

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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