Zip Codes with the Highest Percentage of Swiss in Minnesota

Minnesota 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.	56244	45.481584, -95.798305	Hancock, Minnesota	1,441	4.94 %	#276
2.	56654	48.511415, -93.947764	Loman, Minnesota	130	4.85 %	#284
3.	55963	44.190570, -92.656046	Pine Island, Minnesota	4,164	4.62 %	#313
4.	56543	46.291177, -96.332239	Foxhome, Minnesota	289	3.26 %	#506
5.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	2.93 %	#593
6.	55985	44.154632, -92.906566	West Concord, Minnesota	2,055	2.66 %	#674
7.	55085	44.673833, -92.967957	Vermillion, Minnesota	237	2.31 %	#845
8.	56659	47.657721, -94.063841	Max, Minnesota	155	2.24 %	#882
9.	55955	44.069819, -92.746399	Mantorville, Minnesota	945	2.20 %	#900
10.	55931	43.520214, -91.454298	Eitzen, Minnesota	256	2.01 %	#1,023
11.	56294	44.319920, -95.219743	Wanda, Minnesota	108	1.85 %	#1,147
12.	56653	48.366209, -93.563990	Littlefork, Minnesota	1,434	1.79 %	#1,192
13.	55939	43.545705, -92.081139	Harmony, Minnesota	2,154	1.65 %	#1,353
14.	55944	44.028435, -92.744489	Kasson, Minnesota	7,234	1.63 %	#1,379
15.	56129	43.523916, -96.029052	Ellsworth, Minnesota	840	1.60 %	#1,419
16.	56010	43.908210, -94.197372	Amboy, Minnesota	1,250	1.55 %	#1,486
17.	55956	44.278666, -92.526324	Mazeppa, Minnesota	1,904	1.54 %	#1,505
18.	55990	43.733366, -92.247970	Wykoff, Minnesota	959	1.51 %	#1,527
19.	55945	44.267724, -92.069877	Kellogg, Minnesota	1,573	1.43 %	#1,663
20.	55026	44.515936, -92.339584	Frontenac, Minnesota	387	1.42 %	#1,667
21.	56165	43.725343, -95.703057	Reading, Minnesota	419	1.40 %	#1,689
22.	56678	47.508078, -95.113057	Solway, Minnesota	774	1.40 %	#1,690
23.	56307	45.620660, -94.615537	Albany, Minnesota	4,082	1.35 %	#1,771
24.	56138	43.534582, -96.389525	Hills, Minnesota	834	1.34 %	#1,792
25.	56683	47.727399, -94.737235	Tenstrike, Minnesota	549	1.34 %	#1,793
26.	55027	44.409186, -92.623060	Goodhue, Minnesota	2,589	1.31 %	#1,843
27.	56226	45.421616, -95.678120	Clontarf, Minnesota	259	1.30 %	#1,861
28.	56160	43.841157, -94.804734	Odin, Minnesota	279	1.27 %	#1,926
29.	55053	44.338345, -93.055440	Nerstrand, Minnesota	710	1.23 %	#2,020
30.	56169	44.338334, -96.006510	Russell, Minnesota	777	1.22 %	#2,041
31.	55960	44.139506, -92.543519	Oronoco, Minnesota	2,797	1.22 %	#2,042
32.	56685	48.238688, -94.531271	Waskish, Minnesota	129	1.21 %	#2,069
33.	56323	45.629632, -95.723921	Cyrus, Minnesota	617	1.20 %	#2,093
34.	56221	45.563606, -96.198145	Chokio, Minnesota	1,024	1.18 %	#2,143
35.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	1.17 %	#2,165
36.	56088	43.825427, -94.458131	Truman, Minnesota	2,163	1.14 %	#2,236
37.	56327	45.763118, -95.606743	Farwell, Minnesota	743	1.13 %	#2,263
38.	56267	45.583774, -95.922393	Morris, Minnesota	6,739	1.13 %	#2,264
39.	55735	46.315510, -93.134297	Finlayson, Minnesota	2,034	1.11 %	#2,315
40.	55013	45.356996, -92.896587	Chisago City, Minnesota	5,000	1.10 %	#2,351
41.	55795	46.297871, -92.882916	Willow River, Minnesota	1,527	1.07 %	#2,437
42.	56293	44.407004, -95.257292	Wabasso, Minnesota	1,244	1.07 %	#2,438
43.	55950	43.732509, -92.963421	Lansing, Minnesota	152	1.06 %	#2,466
44.	55384	44.934963, -93.636686	Spring Park, Minnesota	1,473	1.05 %	#2,495
45.	55941	43.738241, -91.360790	Hokah, Minnesota	1,075	1.04 %	#2,536
46.	55964	44.164098, -92.165049	Plainview, Minnesota	4,303	1.03 %	#2,574
47.	55335	44.531090, -94.553138	Gibbon, Minnesota	1,911	1.03 %	#2,575
48.	56450	46.246125, -93.820572	Garrison, Minnesota	1,015	1.03 %	#2,576
49.	56236	45.662448, -96.408601	Dumont, Minnesota	448	1.03 %	#2,577
50.	56225	45.459406, -96.440095	Clinton, Minnesota	826	1.02 %	#2,615
51.	55992	44.322284, -92.682716	Zumbrota, Minnesota	4,353	1.00 %	#2,674
52.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	1.00 %	#2,675
53.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	0.99 %	#2,708
54.	55981	44.360774, -92.073934	Wabasha, Minnesota	4,176	0.98 %	#2,740
55.	55927	44.018831, -92.889524	Dodge Center, Minnesota	3,418	0.97 %	#2,769
56.	55947	43.822952, -91.365543	La Crescent, Minnesota	7,338	0.97 %	#2,770
57.	55906	44.099889, -92.408210	Rochester, Minnesota	16,153	0.96 %	#2,817
58.	56082	44.339326, -94.027736	Saint Peter, Minnesota	12,232	0.92 %	#2,981
59.	56757	48.462307, -96.795012	Stephen, Minnesota	1,078	0.92 %	#2,982
60.	56466	46.388684, -94.635389	Motley, Minnesota	2,762	0.91 %	#3,022
61.	56283	44.527995, -95.138830	Redwood Falls, Minnesota	7,099	0.91 %	#3,023
62.	56057	44.402266, -93.715617	Le Center, Minnesota	3,757	0.91 %	#3,024
63.	55396	44.548417, -94.371892	Winthrop, Minnesota	2,265	0.90 %	#3,064
64.	55923	43.850577, -92.179087	Chatfield, Minnesota	4,113	0.89 %	#3,105
65.	55972	43.998854, -92.055706	Saint Charles, Minnesota	4,506	0.89 %	#3,106
66.	55721	47.220628, -93.686796	Cohasset, Minnesota	2,867	0.88 %	#3,151
67.	56159	43.946144, -94.934600	Mountain Lake, Minnesota	3,089	0.87 %	#3,189
68.	55922	43.562471, -91.896581	Canton, Minnesota	1,037	0.83 %	#3,394
69.	56041	44.161305, -94.533087	Hanska, Minnesota	1,202	0.82 %	#3,449
70.	55954	43.557061, -91.780106	Mabel, Minnesota	1,522	0.82 %	#3,450
71.	56578	46.926574, -95.661692	Rochert, Minnesota	842	0.81 %	#3,500
72.	55731	47.973323, -91.985645	Ely, Minnesota	6,264	0.79 %	#3,638
73.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	0.79 %	#3,639
74.	55901	44.071655, -92.507712	Rochester, Minnesota	42,221	0.78 %	#3,701
75.	55082	45.069391, -92.833860	Stillwater, Minnesota	30,311	0.78 %	#3,702
76.	55710	47.649681, -92.697535	Britt, Minnesota	1,498	0.78 %	#3,704
77.	55943	43.782867, -91.582769	Houston, Minnesota	3,002	0.78 %	#3,705
78.	55763	47.327944, -92.205981	Makinen, Minnesota	591	0.77 %	#3,755
79.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	0.77 %	#3,756
80.	55066	44.511925, -92.539132	Red Wing, Minnesota	18,412	0.76 %	#3,812
81.	56338	45.993131, -93.871916	Hillman, Minnesota	1,561	0.76 %	#3,813
82.	55114	44.966690, -93.195072	Saint Paul, Minnesota	1,309	0.76 %	#3,814
83.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	0.75 %	#3,891
84.	56592	47.538201, -96.009471	Winger, Minnesota	483	0.75 %	#3,892
85.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	0.73 %	#4,021
86.	56319	45.998449, -95.252789	Carlos, Minnesota	1,113	0.73 %	#4,022
87.	55925	43.907106, -91.449642	Dakota, Minnesota	998	0.72 %	#4,094
88.	56452	46.963298, -94.466583	Hackensack, Minnesota	1,811	0.72 %	#4,095
89.	56227	45.290841, -96.168828	Correll, Minnesota	231	0.71 %	#4,159
90.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	0.71 %	#4,160
91.	56465	46.530841, -94.108939	Merrifield, Minnesota	1,727	0.70 %	#4,244
92.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	0.70 %	#4,245
93.	56180	44.261989, -95.462544	Walnut Grove, Minnesota	1,098	0.70 %	#4,246
94.	56673	48.741785, -95.130494	Roosevelt, Minnesota	786	0.70 %	#4,247
95.	56101	43.885011, -95.144745	Windom, Minnesota	5,960	0.70 %	#4,248
96.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	0.70 %	#4,249
97.	56278	45.360593, -96.359819	Ortonville, Minnesota	2,901	0.69 %	#4,331
98.	55902	43.973871, -92.535531	Rochester, Minnesota	18,592	0.68 %	#4,391
99.	56579	46.463530, -96.338999	Rothsay, Minnesota	1,214	0.68 %	#4,392
100.	55921	43.614433, -91.456075	Caledonia, Minnesota	5,197	0.67 %	#4,500

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