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House Median Value Rank of Census Tract within 50 miles of Census Tract KY055930300

Based on ACS 2006-2010 data*

A total of 118 results found. Show Results on Map.

RankHouse Median Value ▼Census Tract / Population
1.$168,400IN163010404 / 6,252
2.$165,800KY145031302 / 5,555
3.$161,800IN129040500 / 3,296
4.$160,300KY145030800 / 4,459
5.$152,700KY101020702 / 6,516
6.$151,300IN163010403 / 6,864
7.$150,700IN129040400 / 5,525
8.$145,800KY145031400 / 5,994
9.$136,300KY145031100 / 5,543
10.$135,900KY145031600 / 3,085
11.$135,800IL199021400 / 5,028
12.$134,800IL199020900 / 3,867
13.$132,700KY145031301 / 4,791
14.$131,800KY047200900 / 5,873
15.$130,900KY107970700 / 4,791
16.$129,700IN129040300 / 2,744
17.$125,600IL165956200 / 3,472
18.$122,400IN129040200 / 2,436
19.$114,700IL199021300 / 4,878
20.$114,500IL087977600 / 4,993
21.$108,900KY101020601 / 6,988
22.$107,400IL127970100 / 4,894
23.$105,800KY107970200 / 3,239
24.$105,600KY157950200 / 4,752
25.$105,500KY157950300 / 4,212
26.$105,200KY221970200 / 6,284
27.$104,700IL065973200 / 2,534
28.$103,800IL165955600 / 2,460
29.$103,700KY101020800 / 4,088
30.$102,700IL199021200 / 4,709
31.$102,600KY145031200 / 4,716
32.$101,700KY157950600 / 6,205
33.$100,400KY145030900 / 3,521
34.$97,100KY107970100 / 3,140
35.$96,600KY101020100 / 1,927
36.$96,300IL199021000 / 4,790
37.$95,300KY083020800 / 5,700
38.$95,100IN163003200 / 3,723
39.$93,900KY107970500 / 5,349
40.$93,700KY221970300 / 4,989
41.$93,400KY143960200 / 1,322
42.$92,500KY157950400 / 5,763
43.$92,400IL165955700 / 2,738
44.$91,900IL151971200 / 2,355
44.$91,900KY055930100 / 1,616
46.$91,800KY145031500 / 6,651
47.$91,500KY107970300 / 6,599
48.$90,700IL087977700 / 2,333
48.$90,700KY101020602 / 4,985
50.$90,000KY047201000 / 2,009
51.$89,800KY055930300 / 1,737
52.$89,700KY157950500 / 4,913
53.$89,600KY101020900 / 7,571
54.$89,400IN129040700 / 2,917
55.$88,800KY157950100 / 5,541
56.$88,200IN129040600 / 3,529
57.$87,400KY139040200 / 6,640
58.$85,700IL151971300 / 2,071
59.$85,500KY145030300 / 1,550
60.$84,900KY225950201 / 5,885
61.$84,800KY221970100 / 2,844
62.$84,700KY007950100 / 4,140
63.$83,400IL127970400 / 2,539
63.$83,400KY143960100 / 7,045
65.$79,500KY033920100 / 2,216
66.$79,000KY225950202 / 2,582
67.$78,400IL199020800 / 6,957
68.$78,000KY033920300 / 5,302
69.$77,900IL127970300 / 3,746
70.$77,500IN163003100 / 2,615
71.$77,100KY145030700 / 4,728
72.$76,600KY233960200 / 2,703
73.$76,200KY101020500 / 2,446
74.$76,100KY233960100 / 4,374
75.$75,000KY083020700 / 4,621
76.$74,800KY233960300 / 2,454
77.$74,100KY149970200 / 3,648
77.$74,100IL127970200 / 4,246
79.$72,800IL193958400 / 3,267
80.$72,000KY145030500 / 1,297
81.$71,300KY107970800 / 3,300
81.$71,300KY225950300 / 4,938
83.$70,100IL087977800 / 3,707
84.$67,100IL193958100 / 3,401
85.$66,300KY225950100 / 1,672
86.$66,200KY055930200 / 4,486
87.$65,800KY107970400 / 2,327
87.$65,800KY107971300 / 5,307
87.$65,800IL069971000 / 1,957
90.$64,800IL165956100 / 2,778
90.$64,800KY145031000 / 4,376
92.$62,900IL199021100 / 3,608
93.$61,400IL055040800 / 3,152
94.$61,000KY139040100 / 2,874
95.$60,800IL165955800 / 3,235
95.$60,800IL165956000 / 3,089
97.$60,500KY145030400 / 1,819
98.$60,400KY107971000 / 2,941
99.$60,300KY101020200 / 1,587
100.$60,000KY101020400 / 2,391
101.$59,700KY107970600 / 3,260
102.$59,200KY033920200 / 5,416
103.$58,000IL059972800 / 3,043
104.$56,700IL069970900 / 2,445
105.$55,700IL059972700 / 2,730
106.$54,300KY107971100 / 3,357
107.$53,800IL165955900 / 2,495
108.$50,000KY101020300 / 1,733
109.$49,900KY145030600 / 3,791
109.$49,900KY107970900 / 3,276
111.$49,700IL153971000 / 3,250
112.$45,900IL165955100 / 2,641
113.$45,700KY055930400 / 1,474
114.$43,800IL165955500 / 2,263
115.$42,700KY145030200 / 2,244
116.$41,900IL193958000 / 2,516
117.$37,800KY233960400 / 4,203
118.$26,300KY145030100 / 1,097

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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