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

Minnesota Report:

Percentage of Housing Units occupied by the Owner

Percentage of Housing Units occupied by the Owner in the United States by Zip Code

Percentage of Housing Units occupied by the Owner in the United States by City

#	Zip Code	Location	City	Population	% Owner-Occupied	National Rank
1.	56356	45.628804, -94.753835	New Munich, Minnesota	146	98.33 %	#9
2.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	97.08 %	#11
3.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	96.55 %	#14
4.	55011	45.345744, -93.261937	Cedar, Minnesota	8,696	96.49 %	#16
5.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	95.72 %	#28
6.	55005	45.393799, -93.201592	Bethel, Minnesota	4,093	95.61 %	#32
7.	56056	44.072797, -94.569663	La Salle, Minnesota	116	94.64 %	#53
8.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	94.47 %	#60
9.	55445	45.122441, -93.379184	Minneapolis, Minnesota	8,853	94.42 %	#62
10.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	94.11 %	#80
11.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	94.00 %	#85
12.	56177	43.874131, -96.252497	Trosky, Minnesota	123	93.87 %	#92
13.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	93.67 %	#105
14.	55733	46.707705, -92.361663	Esko, Minnesota	4,106	93.55 %	#114
15.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	93.22 %	#131
16.	55085	44.673833, -92.967957	Vermillion, Minnesota	237	93.18 %	#133
17.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	93.06 %	#143
18.	55038	45.165641, -92.971909	Hugo, Minnesota	10,687	93.01 %	#145
19.	56375	45.703877, -94.282547	Saint Stephen, Minnesota	832	92.98 %	#146
20.	55020	44.580205, -93.389154	Elko, Minnesota	2,326	92.70 %	#168
21.	56357	45.701947, -93.799926	Oak Park, Minnesota	822	92.59 %	#176
22.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	92.39 %	#194
23.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	92.14 %	#213
24.	55088	44.523586, -93.383455	Webster, Minnesota	1,569	91.88 %	#236
25.	56294	44.319920, -95.219743	Wanda, Minnesota	108	91.83 %	#242
26.	55079	45.404336, -93.026729	Stacy, Minnesota	7,064	91.65 %	#260
27.	55036	45.870777, -93.109172	Henriette, Minnesota	198	91.42 %	#284
28.	55014	45.161745, -93.127980	Circle Pines, Minnesota	26,384	91.42 %	#285
29.	56281	44.955853, -95.177294	Prinsburg, Minnesota	603	91.28 %	#297
30.	55751	47.378630, -92.668216	Iron, Minnesota	1,726	91.24 %	#305
31.	55982	43.817856, -92.888682	Waltham, Minnesota	535	91.05 %	#329
32.	56020	43.607381, -93.538328	Conger, Minnesota	124	90.90 %	#342
33.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	90.90 %	#345
34.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	90.52 %	#384
35.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	90.49 %	#392
36.	56525	46.662700, -96.748351	Comstock, Minnesota	127	90.19 %	#425
37.	55370	44.777180, -94.036783	Plato, Minnesota	787	90.16 %	#428
38.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	90.02 %	#440
39.	56162	43.833367, -94.668263	Ormsby, Minnesota	283	90.00 %	#449
40.	55073	45.272533, -92.814871	Scandia, Minnesota	2,790	89.93 %	#459
41.	55931	43.520214, -91.454298	Eitzen, Minnesota	256	89.76 %	#485
42.	56022	44.041711, -94.838968	Darfur, Minnesota	133	89.65 %	#495
43.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	89.64 %	#497
44.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	89.59 %	#503
45.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	89.54 %	#510
46.	56580	46.734263, -96.636178	Sabin, Minnesota	835	89.47 %	#517
47.	55398	45.457476, -93.576397	Zimmerman, Minnesota	10,172	89.37 %	#528
48.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	89.36 %	#529
49.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	89.32 %	#533
50.	55024	44.628546, -93.138429	Farmington, Minnesota	21,125	89.18 %	#556
51.	55090	45.054457, -92.956880	Willernie, Minnesota	390	89.17 %	#559
52.	56078	44.005583, -93.772122	Pemberton, Minnesota	543	88.88 %	#607
53.	56367	45.763248, -94.161565	Rice, Minnesota	5,441	88.76 %	#627
54.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	88.39 %	#699
55.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	88.26 %	#726
56.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	88.12 %	#748
57.	55977	43.550036, -92.650161	Taopi, Minnesota	197	88.05 %	#760
58.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	87.87 %	#802
59.	55092	45.349572, -93.069716	Wyoming, Minnesota	9,239	87.82 %	#818
60.	55955	44.069819, -92.746399	Mantorville, Minnesota	945	87.79 %	#830
61.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	87.77 %	#837
62.	55376	45.204322, -93.684752	Saint Michael, Minnesota	7,675	87.70 %	#850
63.	56340	45.759467, -94.429019	Holdingford, Minnesota	2,287	87.67 %	#858
64.	56032	43.762947, -93.556522	Freeborn, Minnesota	332	87.67 %	#859
65.	55031	44.604526, -92.978829	Hampton, Minnesota	1,797	87.64 %	#865
66.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	87.57 %	#888
67.	55434	45.163716, -93.250487	Minneapolis, Minnesota	27,553	87.48 %	#916
68.	55960	44.139506, -92.543519	Oronoco, Minnesota	2,797	87.43 %	#923
69.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	87.32 %	#945
70.	56330	45.743310, -93.753465	Foreston, Minnesota	1,343	87.27 %	#950
71.	55049	44.176279, -93.230762	Medford, Minnesota	2,246	87.22 %	#962
72.	55804	46.933068, -91.927159	Duluth, Minnesota	14,263	87.22 %	#963
73.	56425	46.337391, -94.282845	Baxter, Minnesota	5,520	87.22 %	#964
74.	55315	44.705643, -93.662951	Carver, Minnesota	2,444	87.19 %	#975
75.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	87.16 %	#987
76.	55322	44.766102, -93.781817	Cologne, Minnesota	2,754	87.09 %	#1,001
77.	55053	44.338345, -93.055440	Nerstrand, Minnesota	710	86.83 %	#1,062
78.	55810	46.756745, -92.269437	Duluth, Minnesota	8,608	86.82 %	#1,063
79.	55046	44.451844, -93.419222	Lonsdale, Minnesota	2,945	86.73 %	#1,085
80.	55056	45.509408, -92.961454	North Branch, Minnesota	10,835	86.62 %	#1,107
81.	55448	45.193911, -93.299952	Minneapolis, Minnesota	26,551	86.52 %	#1,130
82.	55360	44.915960, -93.919645	Mayer, Minnesota	1,527	86.44 %	#1,156
83.	55019	44.411004, -93.250262	Dundas, Minnesota	1,039	86.40 %	#1,163
84.	56155	43.765868, -95.946055	Lismore, Minnesota	469	86.36 %	#1,175
85.	55017	45.687859, -93.434603	Dalbo, Minnesota	692	86.31 %	#1,189
86.	55959	44.080236, -91.738376	Minnesota City, Minnesota	2,191	86.21 %	#1,212
87.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	86.19 %	#1,223
88.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	86.09 %	#1,256
89.	56546	47.100433, -96.743078	Georgetown, Minnesota	368	86.00 %	#1,277
90.	55012	45.438085, -92.788113	Center City, Minnesota	1,574	85.95 %	#1,295
91.	55338	44.666072, -93.974535	Green Isle, Minnesota	917	85.95 %	#1,296
92.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	85.76 %	#1,350
93.	55973	43.804299, -92.777916	Sargeant, Minnesota	302	85.71 %	#1,368
94.	55040	45.468531, -93.277925	Isanti, Minnesota	9,495	85.68 %	#1,381
95.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	85.53 %	#1,419
96.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	85.53 %	#1,420
97.	56035	43.805300, -93.255377	Geneva, Minnesota	485	85.50 %	#1,425
98.	55018	44.414410, -92.995374	Dennison, Minnesota	909	85.28 %	#1,493
99.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	85.28 %	#1,494
100.	56026	43.885775, -93.290995	Ellendale, Minnesota	1,932	85.10 %	#1,542

1-100 out of 862 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