Zip Codes with the Highest Percentage of Swiss in Wisconsin

Wisconsin Report:

Percentage of Swiss

Percentage of Swiss in the United States by Zip Code

Percentage of Swiss in the United States by City

#	Zip Code	Location	City	Population	% Swiss	National Rank
1.	53570	42.737195, -89.619882	Monticello, Wisconsin	2,283	28.75 %	#4
2.	53574	42.819241, -89.650108	New Glarus, Wisconsin	3,297	25.43 %	#5
3.	53550	42.552572, -89.494262	Juda, Wisconsin	1,244	20.05 %	#13
4.	53566	42.611412, -89.649674	Monroe, Wisconsin	14,804	19.94 %	#16
5.	53504	42.717374, -89.850559	Argyle, Wisconsin	2,116	17.41 %	#21
6.	53522	42.556909, -89.783490	Browntown, Wisconsin	1,109	14.64 %	#34
7.	53502	42.730406, -89.438069	Albany, Wisconsin	2,255	13.93 %	#38
8.	53587	42.580307, -89.904145	South Wayne, Wisconsin	1,285	13.21 %	#40
9.	53508	42.865677, -89.573525	Belleville, Wisconsin	4,094	13.11 %	#41
10.	53516	42.795229, -89.853228	Blanchardville, Wisconsin	1,846	11.46 %	#52
11.	53541	42.566383, -90.033168	Gratiot, Wisconsin	1,011	10.91 %	#63
12.	53520	42.609145, -89.357778	Brodhead, Wisconsin	6,613	10.28 %	#69
13.	53928	43.426783, -89.149606	Doylestown, Wisconsin	49	9.80 %	#78
14.	54610	44.365291, -91.831459	Alma, Wisconsin	1,877	9.63 %	#85
15.	53544	42.877560, -89.905663	Hollandale, Wisconsin	804	8.17 %	#112
16.	54934	44.004458, -88.841031	Eureka, Wisconsin	129	7.37 %	#133
17.	53521	42.838105, -89.400302	Brooklyn, Wisconsin	2,917	7.26 %	#139
18.	53530	42.696315, -90.109559	Darlington, Wisconsin	4,346	7.07 %	#147
19.	53969	43.496142, -89.308138	Wyocena, Wisconsin	121	6.72 %	#163
20.	53572	42.961103, -89.733649	Mount Horeb, Wisconsin	8,475	5.93 %	#189
21.	53507	42.995428, -89.896540	Barneveld, Wisconsin	1,981	5.76 %	#204
22.	53537	42.666177, -89.211284	Footville, Wisconsin	320	5.60 %	#223
23.	53503	43.142976, -89.957507	Arena, Wisconsin	1,763	5.52 %	#233
24.	53536	42.761448, -89.267911	Evansville, Wisconsin	7,139	5.51 %	#234
25.	54629	44.173760, -91.639591	Fountain City, Wisconsin	2,579	5.45 %	#243
26.	54422	44.994814, -90.447474	Curtiss, Wisconsin	1,184	5.19 %	#260
27.	54862	45.778701, -91.142381	Ojibwa, Wisconsin	286	5.11 %	#262
28.	54622	44.273358, -91.773881	Cochrane, Wisconsin	2,339	4.86 %	#282
29.	53586	42.573849, -90.229228	Shullsburg, Wisconsin	2,170	4.84 %	#285
30.	53517	43.056983, -89.832329	Blue Mounds, Wisconsin	1,588	4.84 %	#286
31.	53576	42.625684, -89.233172	Orfordville, Wisconsin	2,273	4.74 %	#299
32.	54845	45.803239, -92.143962	Hertel, Wisconsin	131	4.67 %	#310
33.	54488	44.840396, -90.333122	Unity, Wisconsin	1,209	4.52 %	#323
34.	54670	43.844892, -90.479553	Wilton, Wisconsin	1,746	4.14 %	#371
35.	53593	42.985198, -89.579337	Verona, Wisconsin	12,778	4.08 %	#378
36.	53578	43.314782, -89.777202	Prairie Du Sac, Wisconsin	4,970	4.03 %	#387
37.	53582	43.018376, -89.978808	Ridgeway, Wisconsin	1,117	3.94 %	#391
38.	54761	44.623256, -92.178330	Plum City, Wisconsin	1,179	3.89 %	#397
39.	54850	46.816315, -90.699699	La Pointe, Wisconsin	246	3.85 %	#401
40.	53565	42.833363, -90.165771	Mineral Point, Wisconsin	4,623	3.82 %	#407
41.	54498	45.035112, -90.629022	Withee, Wisconsin	2,196	3.81 %	#409
42.	53937	43.386743, -90.170085	Hillpoint, Wisconsin	968	3.58 %	#439
43.	53515	43.122614, -89.736221	Black Earth, Wisconsin	2,112	3.40 %	#478
44.	53003	43.205609, -88.508182	Ashippun, Wisconsin	187	3.40 %	#479
45.	54805	45.421155, -92.026328	Almena, Wisconsin	1,504	3.26 %	#505
46.	53825	42.919231, -90.590239	Stitzer, Wisconsin	407	3.02 %	#563
47.	54857	45.595971, -91.597710	Mikana, Wisconsin	119	2.99 %	#571
48.	54762	45.256474, -91.996707	Prairie Farm, Wisconsin	1,365	2.96 %	#584
49.	53533	42.995020, -90.158915	Dodgeville, Wisconsin	6,529	2.96 %	#586
50.	54421	44.895191, -90.288689	Colby, Wisconsin	3,297	2.93 %	#595
51.	54756	44.468101, -91.939605	Nelson, Wisconsin	1,008	2.84 %	#623
52.	53810	42.825365, -91.010343	Glen Haven, Wisconsin	530	2.80 %	#636
53.	53557	43.339091, -88.797547	Lowell, Wisconsin	456	2.79 %	#641
54.	53583	43.265013, -89.821180	Sauk City, Wisconsin	5,180	2.76 %	#648
55.	54527	46.108948, -90.664619	Glidden, Wisconsin	1,303	2.73 %	#657
56.	53560	43.192255, -89.737666	Mazomanie, Wisconsin	3,521	2.69 %	#668
57.	53078	43.317703, -88.466213	Rubicon, Wisconsin	1,880	2.64 %	#685
58.	53575	42.933063, -89.390551	Oregon, Wisconsin	13,702	2.64 %	#686
59.	54832	46.326003, -91.299624	Drummond, Wisconsin	453	2.54 %	#723
60.	53510	42.739231, -90.326449	Belmont, Wisconsin	1,308	2.53 %	#725
61.	53594	43.190229, -88.964085	Waterloo, Wisconsin	5,005	2.49 %	#740
62.	53718	43.090324, -89.275221	Madison, Wisconsin	3,457	2.47 %	#753
63.	53558	43.005425, -89.293616	Mc Farland, Wisconsin	9,025	2.45 %	#767
64.	54731	45.342470, -91.067380	Conrath, Wisconsin	808	2.45 %	#768
65.	53951	43.387892, -89.876273	North Freedom, Wisconsin	2,347	2.44 %	#774
66.	53569	42.989029, -90.438953	Montfort, Wisconsin	1,080	2.37 %	#803
67.	54619	43.749213, -90.784403	Cashton, Wisconsin	4,124	2.37 %	#804
68.	53559	43.168658, -89.077092	Marshall, Wisconsin	5,503	2.36 %	#811
69.	54721	44.633744, -92.082731	Arkansaw, Wisconsin	1,399	2.36 %	#812
70.	53528	43.114694, -89.637100	Cross Plains, Wisconsin	5,064	2.34 %	#828
71.	53577	43.311608, -90.064349	Plain, Wisconsin	1,437	2.34 %	#829
72.	54722	44.720269, -91.129065	Augusta, Wisconsin	3,991	2.29 %	#851
73.	54747	44.394958, -91.500452	Independence, Wisconsin	2,429	2.29 %	#853
74.	53926	43.666586, -89.222382	Dalton, Wisconsin	1,377	2.29 %	#854
75.	53598	43.210519, -89.338286	Windsor, Wisconsin	2,090	2.27 %	#863
76.	53943	43.386819, -90.035254	Loganville, Wisconsin	1,024	2.25 %	#875
77.	54755	44.586938, -91.687237	Mondovi, Wisconsin	7,019	2.21 %	#894
78.	53553	42.923246, -90.300207	Linden, Wisconsin	693	2.20 %	#899
79.	54769	44.527298, -92.241064	Stockholm, Wisconsin	325	2.18 %	#914
80.	54469	44.349138, -89.873884	Port Edwards, Wisconsin	1,942	2.18 %	#915
81.	54812	45.392528, -91.882516	Barron, Wisconsin	5,553	2.17 %	#921
82.	53523	42.986257, -89.035238	Cambridge, Wisconsin	4,728	2.13 %	#939
83.	54446	44.762459, -90.484200	Loyal, Wisconsin	2,988	2.12 %	#948
84.	53531	43.056870, -89.099744	Deerfield, Wisconsin	3,843	2.11 %	#950
85.	54411	45.062560, -90.033418	Athens, Wisconsin	5,240	2.07 %	#978
86.	53714	43.100348, -89.311966	Madison, Wisconsin	16,424	2.03 %	#1,005
87.	53716	43.065163, -89.313783	Madison, Wisconsin	19,230	2.02 %	#1,011
88.	54493	44.719622, -90.805989	Willard, Wisconsin	689	1.98 %	#1,037
89.	53809	42.991650, -90.631955	Fennimore, Wisconsin	3,959	1.98 %	#1,038
90.	53545	42.693871, -89.116054	Janesville, Wisconsin	41,957	1.96 %	#1,049
91.	53563	42.787676, -88.913258	Milton, Wisconsin	9,373	1.95 %	#1,059
92.	54817	45.674723, -91.524934	Birchwood, Wisconsin	2,139	1.95 %	#1,063
93.	54773	44.389993, -91.296378	Whitehall, Wisconsin	3,635	1.94 %	#1,070
94.	53589	42.923455, -89.206438	Stoughton, Wisconsin	19,371	1.92 %	#1,086
95.	53588	43.188010, -90.077079	Spring Green, Wisconsin	3,818	1.92 %	#1,089
96.	53532	43.245457, -89.311566	De Forest, Wisconsin	11,448	1.91 %	#1,095
97.	53579	43.295981, -88.867735	Reeseville, Wisconsin	1,869	1.90 %	#1,101
98.	54634	43.601607, -90.439528	Hillsboro, Wisconsin	3,869	1.89 %	#1,109
99.	53529	43.239372, -89.525031	Dane, Wisconsin	1,765	1.89 %	#1,112
100.	54870	45.708737, -91.782420	Sarona, Wisconsin	1,630	1.88 %	#1,122

1-100 out of 766 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