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Expensive Homes Near 34476 Zip Code

House Median Value Rank of City within 50 miles of Zip Code 34476

Based on ACS 2006-2010 data*

A total of 106 results found. Show Results on Map.

RankHouse Median Value ▼City / Population
1.$593,800Pine Island, FL / 142
2.$469,200Black Diamond, FL / 1,241
3.$378,500Oakland, FL / 2,283
4.$324,500Yalaha, FL / 1,140
5.$322,800Montverde, FL / 1,265
6.$286,900Homosassa, FL / 2,499
7.$275,000Altoona, FL / 88
8.$266,500Citrus Hills, FL / 7,173
9.$262,500Yankeetown, FL / 602
10.$257,100Silver Lake, FL / 1,892
11.$255,400Pine Ridge, FL / 8,910
12.$252,900Clermont, FL / 26,141
13.$250,800Tangerine, FL / 1,755
14.$233,200Howie In The Hills, FL / 1,176
15.$229,100Mount Dora, FL / 12,367
16.$225,100The Villages, FL / 40,341
17.$224,600Pittman, FL / 287
18.$222,100Apopka, FL / 39,482
19.$216,700Seville, FL / 347
20.$204,300Minneola, FL / 9,003
21.$202,300Ferndale, FL / 153
22.$198,300Crystal River, FL / 3,274
23.$195,700Weeki Wachee Gardens, FL / 1,076
24.$193,500Mount Plymouth, FL / 4,167
25.$191,900Groveland, FL / 7,935
26.$187,900North Weeki Wachee, FL / 8,398
27.$186,400Sugarmill Woods, FL / 7,255
28.$178,900Timber Pines, FL / 5,144
29.$176,200Newberry, FL / 4,828
30.$172,400Fruitland Park, FL / 4,062
31.$171,600Sorrento, FL / 826
32.$170,700Spring Lake, FL / 480
33.$169,100Trilby, FL / 637
34.$168,400Gainesville, FL / 124,271
35.$167,400Eustis, FL / 18,689
36.$165,800Umatilla, FL / 3,466
37.$165,200Keystone Heights, FL / 1,420
38.$163,100Spring Hill, FL / 96,702
39.$162,100Astatula, FL / 2,526
40.$154,300Archer, FL / 1,038
41.$153,800Mcintosh, FL / 276
42.$147,600Lecanto, FL / 5,140
43.$147,100Mascotte, FL / 4,835
44.$146,900Citrus Springs, FL / 7,633
45.$146,600Ocala, FL / 56,051
46.$145,800Tavares, FL / 13,682
47.$143,000Leesburg, FL / 20,138
48.$140,300North Brooksville, FL / 4,001
49.$136,000Lady Lake, FL / 14,074
50.$132,200Hawthorne, FL / 1,639
51.$130,700Ridge Manor, FL / 4,148
52.$123,500Waldo, FL / 808
53.$123,300Masaryktown, FL / 1,130
54.$122,800Inverness Highlands South, FL / 5,882
55.$122,500Floral City, FL / 4,917
56.$120,900Belleview, FL / 4,516
57.$119,100Dunnellon, FL / 1,551
58.$118,300Bushnell, FL / 3,370
59.$118,200Inverness Highlands North, FL / 1,982
60.$117,600Garden Grove, FL / 737
60.$117,600South Brooksville, FL / 3,931
62.$116,700Pierson, FL / 1,742
63.$114,200Micanopy, FL / 704
64.$113,600Lake Panasoffkee, FL / 4,641
65.$113,000Hill 'n Dale, FL / 2,048
66.$111,400Bronson, FL / 1,469
67.$110,600Center Hill, FL / 1,220
68.$110,100Hernando, FL / 9,001
69.$109,500Inverness, FL / 7,320
70.$107,800Welaka, FL / 498
71.$106,500Inglis, FL / 1,580
72.$106,100Pine Lakes, FL / 819
73.$105,700Silver Springs Shores, FL / 6,873
74.$104,700Beverly Hills, FL / 8,520
75.$104,500Dade City North, FL / 3,201
76.$103,500East Bronson, FL / 1,193
77.$102,900Williston, FL / 2,776
78.$100,800Crescent City, FL / 2,373
79.$100,000Bayport, FL / 41
80.$98,900Webster, FL / 880
81.$95,800Reddick, FL / 358
82.$93,900Williston Highlands, FL / 2,201
83.$93,800Lacoochee, FL / 2,084
84.$93,200Astor, FL / 1,641
84.$93,200Interlachen, FL / 2,021
86.$92,800Paisley, FL / 840
87.$91,000Homosassa Springs, FL / 14,888
88.$89,300Coleman, FL / 527
89.$87,300Zellwood, FL / 2,322
90.$87,200Wiscon, FL / 862
91.$86,400East Williston, FL / 631
92.$86,200Istachatta, FL / 173
93.$83,700Brookridge, FL / 4,581
94.$82,000Chiefland, FL / 2,422
95.$79,300High Point, FL / 3,337
96.$78,100Lisbon, FL / 255
97.$76,800Lake Mack-Forest Hills, FL / 1,030
98.$76,700Pomona Park, FL / 1,256
99.$70,400Wildwood, FL / 6,285
100.$68,100Nobleton, FL / 92
101.$59,800Lake Kathryn, FL / 709
102.$52,500Otter Creek, FL / 212
103.$49,500Raleigh, FL / 71
104.$48,500Brooksville, FL / 7,884
105.$44,200Morriston, FL / 144
106.$19,800Okahumpka, FL / 159

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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