Zip Codes with the Highest Percentage of Properties valued over $1,000,000 in Minnesota

Minnesota Report:

Percentage of Properties valued over $1,000,000

Percentage of Properties valued over $1,000,000 in the United States by Zip Code

Percentage of Properties valued over $1,000,000 in the United States by City

#	Zip Code	Location	City	Population	% Properties > $1M	National Rank
1.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	9.26 %	#343
2.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	7.87 %	#401
3.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	4.91 %	#591
4.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	3.84 %	#712
5.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	3.64 %	#743
6.	56207	45.505918, -96.066571	Alberta, Minnesota	352	3.38 %	#789
7.	56578	46.926574, -95.661692	Rochert, Minnesota	842	2.75 %	#932
8.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	2.58 %	#977
9.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	2.28 %	#1,081
10.	55781	47.682784, -93.032331	Side Lake, Minnesota	408	2.22 %	#1,112
11.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	1.93 %	#1,241
12.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	1.84 %	#1,276
13.	55979	43.921262, -91.956478	Utica, Minnesota	928	1.66 %	#1,399
14.	56127	43.548714, -94.780895	Dunnell, Minnesota	446	1.61 %	#1,426
15.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	1.56 %	#1,454
16.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	1.39 %	#1,585
17.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	1.37 %	#1,607
18.	56479	46.406875, -94.790551	Staples, Minnesota	5,315	1.33 %	#1,648
19.	56733	48.623020, -96.921686	Kennedy, Minnesota	615	1.30 %	#1,676
20.	55970	43.599585, -92.837811	Rose Creek, Minnesota	919	1.29 %	#1,691
21.	55929	43.976413, -92.143978	Dover, Minnesota	963	1.25 %	#1,732
22.	56041	44.161305, -94.533087	Hanska, Minnesota	1,202	1.21 %	#1,770
23.	56738	48.347128, -96.336999	Newfolden, Minnesota	1,319	1.19 %	#1,793
24.	55797	46.569282, -92.394987	Wrenshall, Minnesota	1,325	1.16 %	#1,817
25.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	1.15 %	#1,825
26.	56065	43.931416, -93.928471	Mapleton, Minnesota	2,740	1.13 %	#1,840
27.	56029	43.530047, -93.522279	Emmons, Minnesota	758	1.10 %	#1,876
28.	55404	44.962198, -93.262011	Minneapolis, Minnesota	27,282	1.06 %	#1,927
29.	55031	44.604526, -92.978829	Hampton, Minnesota	1,797	0.85 %	#2,244
30.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	0.84 %	#2,266
31.	55790	47.826489, -92.319184	Tower, Minnesota	1,883	0.83 %	#2,289
32.	55945	44.267724, -92.069877	Kellogg, Minnesota	1,573	0.82 %	#2,303
33.	56309	46.061768, -95.809299	Ashby, Minnesota	1,169	0.80 %	#2,346
34.	56271	45.244754, -95.404995	Murdock, Minnesota	1,323	0.80 %	#2,347
35.	55110	45.098195, -93.005239	Saint Paul, Minnesota	39,703	0.78 %	#2,402
36.	56433	46.987441, -94.696524	Akeley, Minnesota	1,601	0.72 %	#2,524
37.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	0.69 %	#2,592
38.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	0.69 %	#2,594
39.	56686	48.784049, -94.911697	Williams, Minnesota	1,016	0.68 %	#2,622
40.	56037	44.011133, -94.038473	Good Thunder, Minnesota	1,633	0.66 %	#2,689
41.	55910	44.128660, -91.971828	Altura, Minnesota	1,576	0.66 %	#2,690
42.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	0.66 %	#2,693
43.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	0.60 %	#2,858
44.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	0.59 %	#2,893
45.	55020	44.580205, -93.389154	Elko, Minnesota	2,326	0.58 %	#2,923
46.	56442	46.682188, -94.062610	Crosslake, Minnesota	2,107	0.57 %	#2,962
47.	55397	44.826625, -93.909063	Young America, Minnesota	2,565	0.55 %	#3,032
48.	55373	45.089804, -93.732568	Rockford, Minnesota	4,363	0.54 %	#3,076
49.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	0.53 %	#3,107
50.	55707	46.554781, -92.631629	Barnum, Minnesota	3,179	0.50 %	#3,209
51.	56329	45.706134, -93.894542	Foley, Minnesota	6,313	0.49 %	#3,248
52.	55409	44.923939, -93.283436	Minneapolis, Minnesota	21,100	0.47 %	#3,340
53.	56036	43.551882, -93.221023	Glenville, Minnesota	2,137	0.46 %	#3,388
54.	55719	47.541039, -92.862190	Chisholm, Minnesota	5,889	0.45 %	#3,436
55.	55975	43.677871, -92.364465	Spring Valley, Minnesota	4,834	0.43 %	#3,528
56.	56284	44.783641, -95.207938	Renville, Minnesota	2,222	0.43 %	#3,529
57.	55779	46.908849, -92.448827	Saginaw, Minnesota	3,490	0.43 %	#3,530
58.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	0.43 %	#3,533
59.	55359	45.009590, -93.698264	Maple Plain, Minnesota	5,612	0.42 %	#3,581
60.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	0.41 %	#3,643
61.	55731	47.973323, -91.985645	Ely, Minnesota	6,264	0.40 %	#3,702
62.	56156	43.666604, -96.240790	Luverne, Minnesota	6,332	0.39 %	#3,767
63.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	0.38 %	#3,827
64.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	0.38 %	#3,828
65.	55918	43.745852, -92.855344	Brownsdale, Minnesota	999	0.37 %	#3,889
66.	56468	46.493690, -94.314742	Nisswa, Minnesota	4,645	0.37 %	#3,890
67.	56252	45.178253, -95.310120	Kerkhoven, Minnesota	1,299	0.36 %	#3,949
68.	55812	46.811660, -92.073969	Duluth, Minnesota	10,085	0.36 %	#3,950
69.	56452	46.963298, -94.466583	Hackensack, Minnesota	1,811	0.36 %	#3,951
70.	55387	44.868884, -93.786996	Waconia, Minnesota	8,595	0.36 %	#3,953
71.	55113	45.012196, -93.151186	Saint Paul, Minnesota	38,278	0.36 %	#3,954
72.	55003	45.014769, -92.783467	Bayport, Minnesota	3,162	0.36 %	#3,955
73.	56063	44.206406, -93.816358	Madison Lake, Minnesota	2,462	0.33 %	#4,155
74.	56288	45.238995, -94.949862	Spicer, Minnesota	4,676	0.33 %	#4,156
75.	56381	45.563647, -95.549827	Starbuck, Minnesota	2,684	0.31 %	#4,287
76.	55362	45.292082, -93.838711	Monticello, Minnesota	13,833	0.29 %	#4,460
77.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	0.29 %	#4,462
78.	56150	43.642151, -95.195626	Lakefield, Minnesota	2,879	0.28 %	#4,508
79.	55430	45.063112, -93.300411	Minneapolis, Minnesota	21,102	0.27 %	#4,610
80.	55063	45.838574, -92.902898	Pine City, Minnesota	8,294	0.26 %	#4,682
81.	56514	46.647040, -96.426955	Barnesville, Minnesota	3,232	0.25 %	#4,784
82.	55923	43.850577, -92.179087	Chatfield, Minnesota	4,113	0.25 %	#4,785
83.	56649	48.528814, -93.409564	International Falls, Minnesota	10,774	0.25 %	#4,786
84.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	0.23 %	#4,970
85.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	0.23 %	#4,971
86.	56320	45.470319, -94.426810	Cold Spring, Minnesota	7,834	0.22 %	#5,029
87.	55325	45.092093, -94.319218	Dassel, Minnesota	4,112	0.22 %	#5,035
88.	56273	45.319028, -95.025978	New London, Minnesota	4,165	0.21 %	#5,164
89.	56374	45.605126, -94.333471	Saint Joseph, Minnesota	10,062	0.20 %	#5,261
90.	55060	44.055769, -93.231453	Owatonna, Minnesota	26,230	0.20 %	#5,262
91.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	0.20 %	#5,264
92.	55032	45.586714, -92.998023	Harris, Minnesota	3,101	0.20 %	#5,265
93.	55769	47.434858, -93.131307	Nashwauk, Minnesota	2,258	0.20 %	#5,267
94.	56097	43.721047, -93.723161	Wells, Minnesota	4,350	0.19 %	#5,350
95.	55102	44.933307, -93.121401	Saint Paul, Minnesota	17,727	0.19 %	#5,352
96.	56501	46.838507, -95.828650	Detroit Lakes, Minnesota	15,047	0.18 %	#5,473
97.	56633	47.328909, -94.536311	Cass Lake, Minnesota	4,323	0.18 %	#5,475
98.	55441	45.007993, -93.425314	Minneapolis, Minnesota	17,398	0.17 %	#5,564
99.	55428	45.064039, -93.383509	Minneapolis, Minnesota	29,933	0.17 %	#5,565
100.	55920	44.013359, -92.623778	Byron, Minnesota	5,618	0.16 %	#5,638

1-100 out of 859 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