Zip Codes with the Highest Percentage of Households with Income Over $200,000 in Minnesota

Minnesota Report:

Percentage of Households with Income Over $200,000

Percentage of Households with Income Over $200,000 in the United States by Zip Code

Percentage of Households with Income Over $200,000 in the United States by City

#	Zip Code	Location	City	Population	% Income Over $200k	National Rank
1.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	22.51 %	#167
2.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	17.04 %	#321
3.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	16.80 %	#333
4.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	15.66 %	#384
5.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	14.98 %	#421
6.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	14.34 %	#457
7.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	11.87 %	#632
8.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	11.51 %	#663
9.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	11.39 %	#679
10.	55446	45.046438, -93.485395	Minneapolis, Minnesota	12,464	10.26 %	#792
11.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	9.02 %	#975
12.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	8.67 %	#1,032
13.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	8.54 %	#1,051
14.	55902	43.973871, -92.535531	Rochester, Minnesota	18,592	8.49 %	#1,063
15.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	8.37 %	#1,080
16.	56075	43.735153, -94.432490	Northrop, Minnesota	172	8.21 %	#1,105
17.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	7.78 %	#1,196
18.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	7.66 %	#1,225
19.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	7.64 %	#1,229
20.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	7.51 %	#1,263
21.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	7.05 %	#1,374
22.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	6.92 %	#1,415
23.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	6.91 %	#1,416
24.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	6.59 %	#1,504
25.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	6.49 %	#1,539
26.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	6.44 %	#1,556
27.	55047	45.200429, -92.820729	Marine On Saint Croix, Minnesota	2,624	6.36 %	#1,584
28.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	5.97 %	#1,695
29.	55441	45.007993, -93.425314	Minneapolis, Minnesota	17,398	5.78 %	#1,784
30.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	5.64 %	#1,847
31.	55615	47.705484, -90.793919	Tofte, Minnesota	246	5.55 %	#1,880
32.	55089	44.593074, -92.718800	Welch, Minnesota	1,764	5.50 %	#1,913
33.	55359	45.009590, -93.698264	Maple Plain, Minnesota	5,612	5.39 %	#1,973
34.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	5.29 %	#2,019
35.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	5.14 %	#2,080
36.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	4.97 %	#2,182
37.	56236	45.662448, -96.408601	Dumont, Minnesota	448	4.94 %	#2,194
38.	56680	47.659089, -93.957158	Spring Lake, Minnesota	80	4.87 %	#2,245
39.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	4.84 %	#2,257
40.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	4.81 %	#2,281
41.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	4.78 %	#2,296
42.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	4.77 %	#2,302
43.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	4.76 %	#2,309
44.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	4.72 %	#2,328
45.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	4.68 %	#2,362
46.	55082	45.069391, -92.833860	Stillwater, Minnesota	30,311	4.56 %	#2,455
47.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	4.46 %	#2,526
48.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	4.43 %	#2,556
49.	55977	43.550036, -92.650161	Taopi, Minnesota	197	4.41 %	#2,571
50.	55419	44.902370, -93.287659	Minneapolis, Minnesota	17,197	4.35 %	#2,618
51.	55906	44.099889, -92.408210	Rochester, Minnesota	16,153	4.33 %	#2,639
52.	55387	44.868884, -93.786996	Waconia, Minnesota	8,595	4.32 %	#2,647
53.	56685	48.238688, -94.531271	Waskish, Minnesota	129	4.28 %	#2,674
54.	55787	46.695191, -93.099700	Tamarack, Minnesota	362	4.22 %	#2,715
55.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	4.20 %	#2,732
56.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	4.20 %	#2,735
57.	55038	45.165641, -92.971909	Hugo, Minnesota	10,687	4.10 %	#2,826
58.	56722	47.985955, -96.640398	Euclid, Minnesota	411	4.08 %	#2,849
59.	55409	44.923939, -93.283436	Minneapolis, Minnesota	21,100	4.06 %	#2,873
60.	55118	44.894315, -93.100947	Saint Paul, Minnesota	27,270	4.00 %	#2,915
61.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	3.96 %	#2,943
62.	55073	45.272533, -92.814871	Scandia, Minnesota	2,790	3.94 %	#2,968
63.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	3.92 %	#2,983
64.	55150	44.885619, -93.169985	Mendota, Minnesota	152	3.84 %	#3,060
65.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	3.74 %	#3,157
66.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	3.47 %	#3,446
67.	56468	46.493690, -94.314742	Nisswa, Minnesota	4,645	3.45 %	#3,475
68.	55112	45.081866, -93.190493	Saint Paul, Minnesota	45,035	3.36 %	#3,569
69.	55116	44.910719, -93.169581	Saint Paul, Minnesota	23,552	3.32 %	#3,622
70.	56174	44.016336, -95.305092	Storden, Minnesota	441	3.14 %	#3,855
71.	55318	44.810762, -93.636185	Chaska, Minnesota	19,232	3.07 %	#3,962
72.	55812	46.811660, -92.073969	Duluth, Minnesota	10,085	3.06 %	#3,976
73.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	3.05 %	#3,991
74.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	3.02 %	#4,041
75.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	3.02 %	#4,046
76.	56089	43.563886, -93.438467	Twin Lakes, Minnesota	225	2.97 %	#4,089
77.	55110	45.098195, -93.005239	Saint Paul, Minnesota	39,703	2.95 %	#4,123
78.	56534	46.471572, -96.011397	Erhard, Minnesota	1,108	2.94 %	#4,145
79.	56578	46.926574, -95.661692	Rochert, Minnesota	842	2.84 %	#4,322
80.	55612	47.794989, -90.666598	Lutsen, Minnesota	510	2.80 %	#4,400
81.	56301	45.478378, -94.225600	Saint Cloud, Minnesota	29,030	2.79 %	#4,421
82.	56063	44.206406, -93.816358	Madison Lake, Minnesota	2,462	2.77 %	#4,453
83.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	2.76 %	#4,470
84.	55979	43.921262, -91.956478	Utica, Minnesota	928	2.73 %	#4,525
85.	56052	44.327421, -93.557905	Kilkenny, Minnesota	760	2.73 %	#4,532
86.	56581	47.459060, -96.777148	Shelly, Minnesota	364	2.72 %	#4,548
87.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	2.71 %	#4,560
88.	56566	47.294965, -95.663175	Naytahwaush, Minnesota	367	2.70 %	#4,579
89.	55079	45.404336, -93.026729	Stacy, Minnesota	7,064	2.68 %	#4,618
90.	56320	45.470319, -94.426810	Cold Spring, Minnesota	7,834	2.66 %	#4,658
91.	56543	46.291177, -96.332239	Foxhome, Minnesota	289	2.63 %	#4,702
92.	55796	47.944356, -91.786905	Winton, Minnesota	157	2.63 %	#4,703
93.	56288	45.238995, -94.949862	Spicer, Minnesota	4,676	2.63 %	#4,704
94.	56515	46.279173, -95.708325	Battle Lake, Minnesota	2,733	2.63 %	#4,709
95.	56249	45.318795, -95.904576	Holloway, Minnesota	379	2.58 %	#4,809
96.	55376	45.204322, -93.684752	Saint Michael, Minnesota	7,675	2.57 %	#4,842
97.	56442	46.682188, -94.062610	Crosslake, Minnesota	2,107	2.56 %	#4,867
98.	55088	44.523586, -93.383455	Webster, Minnesota	1,569	2.55 %	#4,888
99.	55328	45.033414, -93.814206	Delano, Minnesota	7,332	2.52 %	#4,949
100.	56058	44.448969, -93.913545	Le Sueur, Minnesota	5,903	2.52 %	#4,952

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