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

Wisconsin 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.	54834	45.742262, -91.476654	Edgewater, Wisconsin	15	20.00 %	#233
2.	53122	43.047520, -88.087029	Elm Grove, Wisconsin	6,369	16.28 %	#352
3.	53092	43.230401, -87.950302	Thiensville, Wisconsin	20,765	15.42 %	#395
4.	53045	43.066104, -88.153259	Brookfield, Wisconsin	21,598	11.54 %	#661
5.	53217	43.159843, -87.917801	Milwaukee, Wisconsin	29,479	11.35 %	#683
6.	54417	45.023944, -89.646908	Brokaw, Wisconsin	56	10.34 %	#784
7.	53018	43.032849, -88.391525	Delafield, Wisconsin	7,857	8.20 %	#1,109
8.	54211	45.176638, -87.159609	Ephraim, Wisconsin	200	7.95 %	#1,162
9.	53044	43.744702, -87.782476	Kohler, Wisconsin	1,968	7.68 %	#1,221
10.	53203	43.038491, -87.916365	Milwaukee, Wisconsin	335	7.59 %	#1,241
11.	53058	43.112242, -88.411504	Nashotah, Wisconsin	3,501	7.23 %	#1,328
12.	53005	43.062401, -88.098804	Brookfield, Wisconsin	20,231	7.11 %	#1,355
13.	53097	43.242048, -88.009823	Mequon, Wisconsin	4,752	6.71 %	#1,472
14.	54862	45.778701, -91.142381	Ojibwa, Wisconsin	286	6.66 %	#1,485
15.	53069	43.110890, -88.435005	Okauchee, Wisconsin	598	6.44 %	#1,555
16.	53593	42.985198, -89.579337	Verona, Wisconsin	12,778	6.23 %	#1,633
17.	53029	43.146603, -88.340998	Hartland, Wisconsin	17,837	5.97 %	#1,693
18.	53598	43.210519, -89.338286	Windsor, Wisconsin	2,090	5.83 %	#1,760
19.	53125	42.545797, -88.561360	Fontana, Wisconsin	1,941	5.71 %	#1,822
20.	54913	44.335996, -88.399970	Appleton, Wisconsin	9,800	5.57 %	#1,868
21.	53017	43.201013, -88.251366	Colgate, Wisconsin	4,886	5.55 %	#1,878
22.	53211	43.083997, -87.884877	Milwaukee, Wisconsin	35,225	5.30 %	#2,018
23.	53072	43.081609, -88.270816	Pewaukee, Wisconsin	20,751	4.71 %	#2,339
24.	54531	45.752815, -89.774667	Hazelhurst, Wisconsin	1,459	4.58 %	#2,440
25.	53126	42.789404, -88.005584	Franksville, Wisconsin	6,286	4.52 %	#2,480
26.	53705	43.074014, -89.460509	Madison, Wisconsin	30,225	4.44 %	#2,547
27.	54517	46.101089, -90.960361	Clam Lake, Wisconsin	133	4.28 %	#2,677
28.	53066	43.115869, -88.495464	Oconomowoc, Wisconsin	28,217	4.14 %	#2,789
29.	53012	43.314732, -88.034639	Cedarburg, Wisconsin	17,708	3.68 %	#3,231
30.	53717	43.068664, -89.513863	Madison, Wisconsin	10,772	3.68 %	#3,232
31.	53151	42.970273, -88.100563	New Berlin, Wisconsin	30,903	3.64 %	#3,275
32.	53158	42.524103, -87.884394	Pleasant Prairie, Wisconsin	11,339	3.56 %	#3,358
33.	54441	44.644250, -90.102492	Hewitt, Wisconsin	790	3.55 %	#3,365
34.	53711	43.045852, -89.461683	Madison, Wisconsin	42,476	3.50 %	#3,411
35.	53562	43.120820, -89.531081	Middleton, Wisconsin	19,417	3.47 %	#3,445
36.	54944	44.324687, -88.626957	Hortonville, Wisconsin	7,551	3.41 %	#3,512
37.	53183	43.003522, -88.387794	Wales, Wisconsin	2,917	3.33 %	#3,605
38.	53558	43.005425, -89.293616	Mc Farland, Wisconsin	9,025	3.27 %	#3,690
39.	53578	43.314782, -89.777202	Prairie Du Sac, Wisconsin	4,970	3.24 %	#3,719
40.	54016	44.985346, -92.688140	Hudson, Wisconsin	22,548	3.21 %	#3,761
41.	53597	43.185831, -89.457830	Waunakee, Wisconsin	13,162	3.16 %	#3,832
42.	54855	46.397429, -90.779790	Marengo, Wisconsin	711	3.08 %	#3,940
43.	54169	44.176144, -88.273970	Sherwood, Wisconsin	1,605	3.08 %	#3,941
44.	53129	42.936928, -87.999585	Greendale, Wisconsin	14,163	3.07 %	#3,961
45.	53076	43.270453, -88.215004	Richfield, Wisconsin	3,054	3.06 %	#3,975
46.	53033	43.234912, -88.238586	Hubertus, Wisconsin	5,302	3.05 %	#3,990
47.	54448	44.935263, -89.836533	Marathon, Wisconsin	3,926	3.00 %	#4,062
48.	54173	44.645462, -88.012234	Suamico, Wisconsin	3,379	2.90 %	#4,213
49.	53189	42.959035, -88.280264	Waukesha, Wisconsin	21,328	2.85 %	#4,297
50.	53226	43.049005, -88.042230	Milwaukee, Wisconsin	18,835	2.84 %	#4,317
51.	54449	44.638415, -90.208267	Marshfield, Wisconsin	25,727	2.82 %	#4,359
52.	54769	44.527298, -92.241064	Stockholm, Wisconsin	325	2.81 %	#4,374
53.	53939	43.692018, -89.127074	Kingston, Wisconsin	173	2.77 %	#4,451
54.	54964	43.880354, -88.664904	Pickett, Wisconsin	916	2.77 %	#4,452
55.	53191	42.570489, -88.548353	Williams Bay, Wisconsin	2,235	2.75 %	#4,491
56.	54212	45.109776, -87.209025	Fish Creek, Wisconsin	1,120	2.70 %	#4,578
57.	53093	43.665596, -87.957508	Waldo, Wisconsin	1,934	2.67 %	#4,639
58.	53024	43.340207, -87.931502	Grafton, Wisconsin	14,507	2.60 %	#4,760
59.	53118	42.962493, -88.491540	Dousman, Wisconsin	6,762	2.56 %	#4,863
60.	54519	46.039070, -89.288472	Conover, Wisconsin	956	2.54 %	#4,906
61.	53132	42.883878, -88.011546	Franklin, Wisconsin	29,369	2.53 %	#4,928
62.	53095	43.394024, -88.145432	West Bend, Wisconsin	24,923	2.50 %	#4,997
63.	53139	42.685512, -88.120797	Kansasville, Wisconsin	2,774	2.49 %	#5,024
64.	53213	43.049099, -88.001338	Milwaukee, Wisconsin	26,141	2.47 %	#5,071
65.	53153	42.933688, -88.404698	North Prairie, Wisconsin	1,966	2.47 %	#5,073
66.	54986	44.119117, -88.760359	Winneconne, Wisconsin	4,464	2.45 %	#5,141
67.	53570	42.737195, -89.619882	Monticello, Wisconsin	2,283	2.45 %	#5,142
68.	54850	46.816315, -90.699699	La Pointe, Wisconsin	246	2.45 %	#5,144
69.	54813	45.652939, -92.044813	Barronett, Wisconsin	643	2.42 %	#5,214
70.	53402	42.791951, -87.825075	Racine, Wisconsin	33,114	2.42 %	#5,216
71.	54115	44.382413, -88.122406	De Pere, Wisconsin	30,808	2.40 %	#5,262
72.	54956	44.182337, -88.527574	Neenah, Wisconsin	37,675	2.39 %	#5,291
73.	54701	44.734491, -91.499743	Eau Claire, Wisconsin	35,852	2.39 %	#5,292
74.	53507	42.995428, -89.896540	Barneveld, Wisconsin	1,981	2.31 %	#5,488
75.	53517	43.056983, -89.832329	Blue Mounds, Wisconsin	1,588	2.27 %	#5,624
76.	54313	44.586363, -88.115165	Green Bay, Wisconsin	31,412	2.24 %	#5,720
77.	54082	45.068040, -92.749369	Houlton, Wisconsin	1,421	2.22 %	#5,776
78.	54301	44.480778, -88.016063	Green Bay, Wisconsin	25,857	2.21 %	#5,806
79.	53202	43.046669, -87.896808	Milwaukee, Wisconsin	20,967	2.21 %	#5,807
80.	54548	45.863599, -89.816704	Minocqua, Wisconsin	5,292	2.20 %	#5,843
81.	53149	42.880384, -88.337794	Mukwonago, Wisconsin	16,715	2.20 %	#5,844
82.	53587	42.580307, -89.904145	South Wayne, Wisconsin	1,285	2.17 %	#5,920
83.	54155	44.527495, -88.200548	Oneida, Wisconsin	4,204	2.16 %	#5,937
84.	53594	43.190229, -88.964085	Waterloo, Wisconsin	5,005	2.15 %	#5,971
85.	53146	42.973705, -88.155385	New Berlin, Wisconsin	7,355	2.14 %	#6,004
86.	54941	43.854571, -88.996575	Green Lake, Wisconsin	2,852	2.13 %	#6,044
87.	53051	43.142845, -88.119517	Menomonee Falls, Wisconsin	32,399	2.11 %	#6,105
88.	54650	43.918136, -91.233333	Onalaska, Wisconsin	20,384	2.11 %	#6,106
89.	54932	43.831997, -88.590949	Eldorado, Wisconsin	915	2.11 %	#6,107
90.	54467	44.413919, -89.538901	Plover, Wisconsin	11,959	2.11 %	#6,108
91.	54529	45.677711, -89.667165	Harshaw, Wisconsin	993	2.05 %	#6,308
92.	54513	45.566645, -90.137778	Brantwood, Wisconsin	575	2.01 %	#6,437
93.	53104	42.545975, -88.023404	Bristol, Wisconsin	5,029	2.00 %	#6,465
94.	54610	44.365291, -91.831459	Alma, Wisconsin	1,877	2.00 %	#6,469
95.	54967	44.122584, -88.955032	Poy Sippi, Wisconsin	369	2.00 %	#6,471
96.	54403	45.036780, -89.507521	Wausau, Wisconsin	24,461	1.99 %	#6,517
97.	53119	42.893005, -88.485525	Eagle, Wisconsin	5,125	1.99 %	#6,518
98.	54720	44.801571, -91.430482	Altoona, Wisconsin	7,181	1.98 %	#6,543
99.	53013	43.566689, -87.857051	Cedar Grove, Wisconsin	3,056	1.98 %	#6,544
100.	53589	42.923455, -89.206438	Stoughton, Wisconsin	19,371	1.96 %	#6,612

1-100 out of 765 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