Zip Codes with the Highest Percentage of Housing Units occupied by the Owner in the United States

United States Report:

Percentage of Housing Units occupied by the Owner

#	Zip Code	Location	City	Population	% Owner-Occupied	National Rank
1.	21051	39.470986, -76.448728	Fork, Maryland	70	100.00 %	#1
2.	25644	37.677814, -81.945289	Sarah Ann, West Virginia	4	100.00 %	#2
3.	30664	33.560817, -82.804227	Sharon, Georgia	38	100.00 %	#3
4.	65623	36.749205, -93.906255	Butterfield, Missouri	39	100.00 %	#4
5.	50227	42.594869, -93.427855	Popejoy, Iowa	21	100.00 %	#5
6.	50241	41.308523, -93.731721	Saint Marys, Iowa	7	100.00 %	#6
7.	47123	38.284744, -86.462128	Grantsburg, Indiana	30	100.00 %	#8
8.	56356	45.628804, -94.753835	New Munich, Minnesota	146	98.33 %	#9
9.	52328	42.075077, -91.665634	Robins, Iowa	1,281	97.08 %	#10
10.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	97.08 %	#11
11.	68135	41.207379, -96.193646	Omaha, Nebraska	13,403	96.86 %	#12
12.	18954	40.225413, -74.992957	Richboro, Pennsylvania	10,349	96.60 %	#13
13.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	96.55 %	#14
14.	48070	42.481899, -83.168088	Huntington Woods, Michigan	6,150	96.52 %	#15
15.	55011	45.345744, -93.261937	Cedar, Minnesota	8,696	96.49 %	#16
16.	07970	40.813672, -74.575196	Mount Freedom, New Jersey	258	96.42 %	#17
17.	19025	40.144657, -75.162776	Dresher, Pennsylvania	5,610	96.33 %	#18
18.	64167	39.323147, -94.480960	Kansas City, Missouri	409	96.26 %	#19
19.	60490	41.683799, -88.143752	Bolingbrook, Illinois	9,263	96.08 %	#20
20.	19373	39.901816, -75.532483	Thornton, Pennsylvania	3,631	96.06 %	#21
21.	60467	41.600117, -87.892455	Orland Park, Illinois	20,904	96.05 %	#22
22.	38139	35.079657, -89.755097	Germantown, Tennessee	14,482	96.05 %	#23
23.	77094	29.769285, -95.681292	Houston, Texas	7,779	95.97 %	#24
24.	33158	25.635974, -80.307064	Miami, Florida	6,457	95.83 %	#25
25.	06092	41.865160, -72.854438	West Simsbury, Connecticut	4,187	95.79 %	#26
26.	22039	38.750523, -77.314559	Fairfax Station, Virginia	18,471	95.75 %	#27
27.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	95.72 %	#28
28.	60157	41.974486, -88.054956	Medinah, Illinois	2,111	95.71 %	#29
29.	01921	42.683108, -71.018330	Boxford, Massachusetts	7,921	95.67 %	#30
30.	18035	40.748795, -75.540167	Cherryville, Pennsylvania	66	95.65 %	#31
31.	55005	45.393799, -93.201592	Bethel, Minnesota	4,093	95.61 %	#32
32.	63034	38.845391, -90.288495	Florissant, Missouri	16,803	95.60 %	#33
33.	52411	42.053802, -91.729225	Cedar Rapids, Iowa	5,587	95.52 %	#34
34.	21770	39.350268, -77.259679	Monrovia, Maryland	5,460	95.51 %	#35
35.	11762	40.682635, -73.445756	Massapequa Park, New York	24,471	95.50 %	#36
36.	08535	40.226835, -74.451077	Millstone Township, New Jersey	2,073	95.49 %	#37
37.	46290	39.934406, -86.161542	Indianapolis, Indiana	189	95.45 %	#38
38.	17508	40.125116, -76.218381	Brownstown, Pennsylvania	192	95.38 %	#39
39.	23939	37.309810, -78.762157	Evergreen, Virginia	119	95.23 %	#40
40.	48440	42.952979, -83.404762	Hadley, Michigan	56	95.23 %	#41
41.	72387	35.325706, -90.771557	Vanndale, Arkansas	41	95.23 %	#42
42.	66226	39.032766, -94.856475	Shawnee, Kansas	6,906	95.21 %	#43
43.	01128	42.092296, -72.489135	Springfield, Massachusetts	2,993	95.18 %	#44
44.	48374	42.473226, -83.522863	Novi, Michigan	11,994	95.13 %	#45
45.	46045	40.289407, -86.149993	Goldsmith, Indiana	55	95.00 %	#46
46.	18929	40.254293, -75.078492	Jamison, Pennsylvania	7,873	94.96 %	#47
47.	60175	41.948188, -88.388701	Saint Charles, Illinois	17,953	94.76 %	#48
48.	61057	41.827705, -89.403541	Nachusa, Illinois	63	94.73 %	#49
49.	95618	38.544002, -121.685559	Davis, California	643	94.71 %	#50
50.	92861	33.817473, -117.810462	Villa Park, California	5,932	94.70 %	#51
51.	85310	33.713148, -112.174366	Glendale, Arizona	22,916	94.66 %	#52
52.	56056	44.072797, -94.569663	La Salle, Minnesota	116	94.64 %	#53
53.	20754	38.730710, -76.646639	Dunkirk, Maryland	6,525	94.62 %	#54
54.	14506	43.002205, -77.505265	Mendon, New York	1,289	94.55 %	#55
55.	21029	39.216893, -76.970294	Clarksville, Maryland	7,616	94.53 %	#56
56.	60463	41.659339, -87.788859	Palos Heights, Illinois	13,286	94.48 %	#57
57.	60029	42.056978, -87.791914	Golf, Illinois	354	94.48 %	#58
58.	07746	40.320572, -74.251415	Marlboro, New Jersey	17,316	94.47 %	#59
59.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	94.47 %	#60
60.	46373	41.448355, -87.467901	Saint John, Indiana	8,279	94.46 %	#61
61.	55445	45.122441, -93.379184	Minneapolis, Minnesota	8,853	94.42 %	#62
62.	76034	32.890063, -97.147489	Colleyville, Texas	19,643	94.39 %	#63
63.	08319	39.370409, -74.810816	Estell Manor, New Jersey	1,204	94.35 %	#64
64.	53017	43.201013, -88.251366	Colgate, Wisconsin	4,886	94.32 %	#65
65.	21738	39.279844, -77.026706	Glenwood, Maryland	2,761	94.30 %	#66
66.	52737	41.259208, -91.374836	Columbus City, Iowa	199	94.28 %	#67
67.	78739	30.178839, -97.889064	Austin, Texas	8,643	94.28 %	#68
68.	25231	38.601872, -81.558941	Advent, West Virginia	93	94.28 %	#69
69.	46845	41.207641, -85.109366	Fort Wayne, Indiana	15,491	94.26 %	#70
70.	07046	40.887678, -74.440666	Mountain Lakes, New Jersey	4,260	94.26 %	#71
71.	20148	39.003230, -77.516219	Ashburn, Virginia	3,840	94.25 %	#72
72.	64166	39.321599, -94.518270	Kansas City, Missouri	248	94.25 %	#73
73.	08836	40.596376, -74.557320	Martinsville, New Jersey	3,962	94.24 %	#74
74.	10527	41.321183, -73.769878	Granite Springs, New York	1,097	94.23 %	#75
75.	66610	38.967634, -95.840836	Topeka, Kansas	6,789	94.20 %	#76
76.	03304	43.133177, -71.537242	Bow, New Hampshire	7,138	94.20 %	#77
77.	27342	36.075555, -79.629701	Sedalia, North Carolina	30	94.11 %	#78
78.	24846	37.537771, -81.880689	Isaban, West Virginia	37	94.11 %	#79
79.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	94.11 %	#80
80.	21737	39.250059, -77.039289	Glenelg, Maryland	828	94.09 %	#81
81.	07739	40.336952, -74.034535	Little Silver, New Jersey	6,158	94.08 %	#82
82.	33332	26.059091, -80.416122	Fort Lauderdale, Florida	3,778	94.07 %	#83
83.	07702	40.326064, -74.059667	Shrewsbury, New Jersey	3,590	94.03 %	#84
84.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	94.00 %	#85
85.	67215	37.617703, -97.447588	Wichita, Kansas	4,363	93.99 %	#86
86.	48069	42.471383, -83.143874	Pleasant Ridge, Michigan	2,384	93.97 %	#87
87.	19435	40.327484, -75.569174	Frederick, Pennsylvania	73	93.93 %	#88
88.	78015	29.747683, -98.650270	Boerne, Texas	5,654	93.92 %	#89
89.	02367	41.959100, -70.802753	Plympton, Massachusetts	2,637	93.92 %	#90
90.	77059	29.615219, -95.134960	Houston, Texas	16,690	93.91 %	#91
91.	56177	43.874131, -96.252497	Trosky, Minnesota	123	93.87 %	#92
92.	60190	41.867918, -88.162954	Winfield, Illinois	12,065	93.86 %	#93
93.	54171	44.726014, -88.122044	Sobieski, Wisconsin	3,021	93.84 %	#94
94.	60184	41.961142, -88.254439	Wayne, Illinois	698	93.82 %	#95
95.	06060	41.998344, -72.848699	North Granby, Connecticut	2,308	93.82 %	#96
96.	33478	26.956289, -80.228763	Jupiter, Florida	11,315	93.78 %	#97
97.	10913	41.068258, -73.954975	Blauvelt, New York	5,076	93.77 %	#98
98.	60053	42.042355, -87.789270	Morton Grove, Illinois	21,668	93.77 %	#99
99.	10985	41.583519, -74.373188	Thompson Ridge, New York	57	93.75 %	#100
100.	61332	41.189533, -88.982636	Leonore, Illinois	36	93.75 %	#101

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