Zip Codes with the Highest Percentage of Vacant Housing Units in the United States

United States Report:

Percentage of Vacant Housing Units

#	Zip Code	Location	City	Population	% Vacant Homes	National Rank
1.	01244	42.140452, -73.189237	Mill River, Massachusetts	0	100.00 %	#1
2.	19112	39.893156, -75.168944	Philadelphia, Pennsylvania	29	100.00 %	#2
3.	33194	25.736230, -80.468533	Miami, Florida	0	100.00 %	#3
4.	84113	40.763485, -111.833714	Salt Lake City, Utah	0	100.00 %	#4
5.	60539	41.824257, -88.334694	Mooseheart, Illinois	0	100.00 %	#5
6.	71320	31.190577, -91.793189	Bordelonville, Louisiana	0	100.00 %	#6
7.	77553	29.328800, -94.796543	Galveston, Texas	614	100.00 %	#7
8.	54985	44.075233, -88.518365	Winnebago, Wisconsin	518	100.00 %	#8
9.	36205	33.722041, -85.785751	Anniston, Alabama	19	98.52 %	#9
10.	95721	38.851842, -120.076204	Echo Lake, California	60	98.18 %	#10
11.	93634	37.290606, -119.216328	Lakeshore, California	46	98.02 %	#11
12.	59921	48.607014, -113.967218	Lake Mc Donald, Montana	2	97.70 %	#12
13.	84762	37.460877, -112.759879	Duck Creek Village, Utah	94	95.71 %	#13
14.	87573	35.811494, -105.673481	Tererro, New Mexico	19	95.57 %	#14
15.	84719	37.645213, -112.809028	Brian Head, Utah	121	94.93 %	#15
16.	91743	34.065838, -117.589053	Guasti, California	3	94.44 %	#16
17.	95735	38.805481, -120.132870	Twin Bridges, California	14	94.40 %	#17
18.	95364	38.224869, -119.755729	Pinecrest, California	232	93.28 %	#18
19.	04985	45.374829, -69.799261	West Forks, Maine	95	93.08 %	#19
20.	95728	39.279068, -120.414275	Soda Springs, California	76	92.87 %	#20
21.	95646	38.631489, -120.015167	Kirkwood, California	123	92.84 %	#21
22.	11770	40.644757, -73.160803	Ocean Beach, New York	190	92.83 %	#22
23.	26209	38.435790, -79.977853	Snowshoe, West Virginia	163	92.42 %	#23
24.	04683	44.207632, -68.781091	Sunset, Maine	6	92.30 %	#24
25.	59231	48.428167, -106.555433	Saint Marie, Montana	183	91.11 %	#25
26.	84781	37.373811, -113.520154	Pine Valley, Utah	75	90.90 %	#26
27.	12858	43.908933, -73.675780	Paradox, New York	48	90.87 %	#27
28.	15861	41.400385, -78.059161	Sinnamahoning, Pennsylvania	160	90.84 %	#28
29.	99850	58.414534, -135.345832	Juneau, Alaska	10	90.58 %	#29
30.	06376	41.294723, -72.255852	South Lyme, Connecticut	68	90.42 %	#30
31.	49775	45.775493, -84.482488	Pointe Aux Pins, Michigan	71	90.00 %	#31
32.	04964	44.874499, -70.735227	Oquossoc, Maine	193	89.85 %	#32
33.	27927	36.470280, -75.875397	Corolla, North Carolina	648	89.61 %	#33
34.	93262	36.527243, -118.594938	Sequoia National Park, California	38	89.57 %	#34
35.	99667	61.806241, -151.742977	Skwentna, Alaska	161	89.30 %	#35
36.	28733	35.443836, -83.833423	Fontana Dam, North Carolina	27	89.01 %	#36
37.	03215	43.942624, -71.447783	Waterville Valley, New Hampshire	257	88.95 %	#37
38.	85927	33.801154, -109.627170	Greer, Arizona	177	87.99 %	#38
39.	84028	41.944555, -111.357367	Garden City, Utah	501	87.91 %	#39
40.	87533	36.615960, -106.737979	Espanola, New Mexico	27	87.82 %	#40
41.	32335	30.045197, -85.075935	Sumatra, Florida	11	87.75 %	#41
42.	13640	44.326315, -75.991361	Wellesley Island, New York	326	87.69 %	#42
43.	83429	44.519937, -111.398453	Island Park, Idaho	749	86.90 %	#43
44.	13331	43.866325, -74.880855	Eagle Bay, New York	293	86.57 %	#44
45.	04261	44.503637, -70.961831	Newry, Maine	405	86.20 %	#45
46.	59928	48.809070, -114.069666	Polebridge, Montana	90	86.14 %	#46
47.	04478	45.748492, -69.838002	Rockwood, Maine	300	85.92 %	#47
48.	95720	38.766036, -120.209673	Kyburz, California	167	85.63 %	#48
49.	83433	44.496242, -111.327185	Macks Inn, Idaho	49	85.61 %	#49
50.	85619	32.441689, -110.756495	Mount Lemmon, Arizona	73	85.60 %	#50
51.	83821	48.620392, -116.848771	Coolin, Idaho	230	85.56 %	#51
52.	93664	37.223000, -119.001021	Shaver Lake, California	637	85.42 %	#52
53.	04851	43.858217, -68.885157	Matinicus, Maine	51	85.39 %	#53
54.	85931	34.379227, -110.915647	Forest Lakes, Arizona	266	85.15 %	#54
55.	04541	43.891388, -69.473697	Chamberlain, Maine	28	85.08 %	#55
56.	17729	41.527076, -77.762951	Cross Fork, Pennsylvania	129	85.06 %	#56
57.	99579	58.100872, -156.353797	Egegik, Alaska	117	85.04 %	#57
58.	83354	43.681397, -114.332207	Sun Valley, Idaho	90	84.95 %	#58
59.	83469	45.130004, -114.563726	Shoup, Idaho	15	84.84 %	#59
60.	95923	40.171312, -121.120605	Canyon Dam, California	67	84.79 %	#60
61.	12139	43.500184, -74.579588	Piseco, New York	272	84.71 %	#61
62.	96061	40.331975, -121.460674	Mill Creek, California	77	84.64 %	#62
63.	18624	41.053592, -75.641135	Lake Harmony, Pennsylvania	439	84.25 %	#63
64.	92341	34.244411, -117.072654	Green Valley Lake, California	305	84.13 %	#64
65.	81220	38.302659, -107.451818	Cimarron, Colorado	150	84.09 %	#65
66.	54561	46.057055, -89.438087	Star Lake, Wisconsin	89	84.08 %	#66
67.	93260	35.861928, -118.636698	Posey, California	247	83.94 %	#67
68.	33924	26.500000, -82.179588	Captiva, Florida	339	83.91 %	#68
69.	93628	36.807595, -118.901544	Hume, California	92	83.87 %	#69
70.	84735	37.613400, -112.575066	Hatch, Utah	177	83.82 %	#70
71.	15821	41.350958, -78.368514	Benezett, Pennsylvania	192	83.78 %	#71
72.	84027	40.145819, -110.956901	Fruitland, Utah	335	83.70 %	#72
73.	18356	41.011933, -75.097363	Shawnee On Delaware, Pennsylvania	176	83.59 %	#73
74.	05356	42.948696, -72.870938	West Dover, Vermont	824	83.45 %	#74
75.	12841	43.639940, -73.507678	Huletts Landing, New York	87	83.33 %	#75
76.	33945	26.582563, -82.213061	Pineland, Florida	79	83.26 %	#76
77.	55725	48.320711, -92.660559	Crane Lake, Minnesota	111	83.17 %	#77
78.	49761	45.554470, -84.530521	Mullett Lake, Michigan	31	83.16 %	#78
79.	93208	36.057458, -118.591951	Camp Nelson, California	186	82.91 %	#79
80.	28575	34.689314, -76.888048	Salter Path, North Carolina	134	82.83 %	#80
81.	26268	38.770661, -79.741547	Glady, West Virginia	44	82.73 %	#81
82.	04936	45.422099, -70.624526	Eustis, Maine	236	82.62 %	#82
83.	21842	38.355333, -75.126626	Ocean City, Maryland	10,147	82.28 %	#83
84.	57420	45.313510, -100.171670	Akaska, South Dakota	92	82.22 %	#84
85.	19930	38.543717, -75.063494	Bethany Beach, Delaware	2,673	82.19 %	#85
86.	05340	43.158051, -72.931400	Bondville, Vermont	688	82.17 %	#86
87.	08247	39.052267, -74.783628	Stone Harbor, New Jersey	1,204	82.16 %	#87
88.	99546	51.879281, -176.639595	Adak, Alaska	316	82.01 %	#88
89.	02713	41.432882, -70.873822	Cuttyhunk, Massachusetts	56	81.87 %	#89
90.	16217	41.346142, -79.181312	Cooksburg, Pennsylvania	167	81.84 %	#90
91.	54850	46.816315, -90.699699	La Pointe, Wisconsin	246	81.67 %	#91
92.	97028	45.288769, -121.805716	Government Camp, Oregon	247	81.65 %	#92
93.	96063	40.408796, -121.579609	Mineral, California	109	81.63 %	#93
94.	04625	44.240082, -68.263388	Cranberry Isles, Maine	54	81.63 %	#94
95.	86024	34.735779, -111.154569	Happy Jack, Arizona	641	81.56 %	#95
96.	93623	37.483535, -119.679414	Fish Camp, California	63	81.35 %	#96
97.	59081	45.008936, -109.957763	Silver Gate, Montana	26	81.31 %	#97
98.	59916	48.042156, -113.381385	Essex, Montana	104	81.27 %	#98
99.	54211	45.176638, -87.159609	Ephraim, Wisconsin	200	81.26 %	#99
100.	13360	43.737593, -74.741983	Inlet, New York	412	81.05 %	#100

1-100 out of 31,773 total

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% Apart./Condos
% Arabs
% Asians
% Blacks
% Bottled Gas
% Carpool to Work
% Children Under 10
% Chinese
% Coal / Coke
% College Grad.
% Construction Jobs
% Cubans
% Czechs
% Danish
% Detached
% Drive to Work
% Dutch
% Electrical
% English
% Farming Jobs
% Filipinos
% French
% French Canadians
% Fuel/Oil
% Germans
% Gov. Employees

% Greeks
% H/Income < $10k
% H/Income > $100k
% H/holds 1+ Car
% H/holds 2+ Cars
% High School Grad.
% Hispanics
% Hungarians
% In Agricultural
% In Arts
% In College
% In Construction
% In Finance
% In High School
% In IT
% In Labor Force
% In Labor Force (f)
% In Labor Force (m)
% In Manufacturing
% In Military
% In Retail Trade
% In Science
% In Social Work
% In Transportation
% Income Over $200k
% Indians (Asian)

% Irish
% Italians
% Japanese
% Korens
% Lithuanians
% Management Jobs
% Mexicans
% Natives
% No-Mortgage Prop.
% Norwegians
% Not in Labor Force
% Owner-Occupied
% Poles
% Portugese
% Poverty Level
% Poverty Level
% Production Jobs
% Properties < $200k
% Properties < $500k
% Properties > $1M
% Properties > $500k
% Pub/Transit
% Russians
% Sales Jobs
% Scotts
% Self-Employed

% Seniors Over 65
% Service Jobs
% Slovaks
% Solar Heated
% Swedes
% Swiss
% Tenant-Occupied
% Ukranians
% Unemployment Rate
% Utility Gas
% Vacant Homes
% Walk to Work
% Welsh
% West Indians
% Whites
% Wood Heated
% Work from Home
Avg. Income/H/hold
Avg. Income/Person
Avg. Population Age
Commute Time
Females / Male
Males / Female
People / Sq. Mile
Rooms / Home