Zip Codes with the Highest Percentage of Swiss in the United States

United States Report:

Percentage of Swiss

#	Zip Code	Location	City	Population	% Swiss	National Rank
1.	98330	46.759076, -122.169796	Elbe, Washington	63	37.50 %	#1
2.	46711	40.661951, -84.926879	Berne, Indiana	7,577	32.54 %	#2
3.	83238	42.321016, -111.116429	Geneva, Idaho	141	29.46 %	#3
4.	53570	42.737195, -89.619882	Monticello, Wisconsin	2,283	28.75 %	#4
5.	53574	42.819241, -89.650108	New Glarus, Wisconsin	3,297	25.43 %	#5
6.	46772	40.722354, -84.910747	Monroe, Indiana	2,920	25.04 %	#6
7.	83220	42.326001, -111.378669	Bern, Idaho	150	24.65 %	#7
8.	66408	39.949912, -95.968525	Bern, Kansas	529	23.59 %	#8
9.	45877	40.957641, -83.947861	Pandora, Ohio	2,192	23.14 %	#9
10.	59933	48.701604, -114.698905	Stryker, Montana	34	21.42 %	#10
11.	95250	38.244806, -120.417301	Sheep Ranch, California	87	20.83 %	#11
12.	44681	40.491571, -81.660410	Sugarcreek, Ohio	7,518	20.37 %	#12
13.	53550	42.552572, -89.494262	Juda, Wisconsin	1,244	20.05 %	#13
14.	25115	38.132333, -81.194088	Kanawha Falls, West Virginia	105	20.00 %	#14
15.	53566	42.611412, -89.649674	Monroe, Wisconsin	14,804	19.94 %	#16
16.	65050	38.540286, -92.688708	Latham, Missouri	567	19.63 %	#17
17.	44610	40.559562, -81.797825	Berlin, Ohio	180	19.59 %	#18
18.	44689	40.645031, -81.659254	Wilmot, Ohio	740	19.25 %	#19
19.	88253	32.947090, -104.442307	Lake Arthur, New Mexico	275	17.71 %	#20
20.	53504	42.717374, -89.850559	Argyle, Wisconsin	2,116	17.41 %	#21
21.	15562	39.746183, -79.131093	Springs, Pennsylvania	181	17.33 %	#22
22.	25183	37.894936, -81.835087	Sharples, West Virginia	235	16.95 %	#23
23.	79091	34.936469, -102.110572	Umbarger, Texas	143	16.36 %	#24
24.	86437	35.387591, -113.661258	Valentine, Arizona	36	16.12 %	#25
25.	26254	38.916951, -79.637329	Bowden, West Virginia	353	15.86 %	#26
26.	46740	40.599996, -84.969139	Geneva, Indiana	3,708	15.79 %	#27
27.	44618	40.770383, -81.681101	Dalton, Ohio	6,634	15.53 %	#28
28.	27256	35.565606, -79.288688	Gulf, North Carolina	166	15.38 %	#29
29.	84329	41.646430, -113.431312	Park Valley, Utah	270	15.28 %	#30
30.	44276	40.937837, -81.835725	Sterling, Ohio	1,881	15.11 %	#31
31.	52141	42.935090, -91.628181	Elgin, Iowa	1,461	15.03 %	#32
32.	26224	38.729569, -80.176802	Helvetia, West Virginia	216	14.86 %	#33
33.	53522	42.556909, -89.783490	Browntown, Wisconsin	1,109	14.64 %	#34
34.	44659	40.694539, -81.701554	Mount Eaton, Ohio	65	14.58 %	#35
35.	44690	40.616168, -81.692005	Winesburg, Ohio	67	14.08 %	#36
36.	61243	41.615133, -89.676756	Deer Grove, Illinois	244	13.95 %	#37
37.	53502	42.730406, -89.438069	Albany, Wisconsin	2,255	13.93 %	#38
38.	64622	39.493404, -93.561160	Bogard, Missouri	719	13.53 %	#39
39.	53587	42.580307, -89.904145	South Wayne, Wisconsin	1,285	13.21 %	#40
40.	53508	42.865677, -89.573525	Belleville, Wisconsin	4,094	13.11 %	#41
41.	17535	40.040870, -76.020656	Kinzers, Pennsylvania	2,094	12.65 %	#42
42.	44606	40.730548, -81.793713	Apple Creek, Ohio	7,607	12.52 %	#43
43.	65034	38.559677, -92.818106	Fortuna, Missouri	584	12.43 %	#44
44.	95637	38.830739, -122.196202	Guinda, California	226	12.35 %	#45
45.	51242	43.440798, -96.334615	Lester, Iowa	211	12.24 %	#46
46.	68433	40.060289, -95.741881	Salem, Nebraska	299	12.00 %	#47
47.	83243	42.268558, -112.674387	Holbrook, Idaho	95	11.92 %	#48
48.	38475	35.265671, -88.014064	Olivehill, Tennessee	622	11.64 %	#49
49.	94940	38.129308, -122.834815	Marshall, California	394	11.58 %	#50
50.	17004	40.597812, -77.738868	Belleville, Pennsylvania	4,841	11.56 %	#51
51.	53516	42.795229, -89.853228	Blanchardville, Wisconsin	1,846	11.46 %	#52
52.	43804	40.450784, -81.740949	Baltic, Ohio	3,573	11.42 %	#53
53.	44654	40.537937, -81.870867	Millersburg, Ohio	17,970	11.33 %	#54
54.	46731	40.793538, -85.099634	Craigville, Indiana	651	11.33 %	#55
55.	47326	40.548680, -84.967266	Bryant, Indiana	2,086	11.31 %	#56
56.	45855	41.085973, -84.585252	Latty, Ohio	200	11.22 %	#57
57.	46543	41.535057, -85.666166	Millersburg, Indiana	3,064	11.18 %	#58
58.	32463	30.631465, -85.590042	Wausau, Florida	136	11.11 %	#59
59.	17529	40.041933, -76.097142	Gordonville, Pennsylvania	4,322	11.07 %	#60
60.	84728	39.060224, -113.580910	Garrison, Utah	201	11.01 %	#61
61.	91948	32.830852, -116.444601	Mount Laguna, California	79	10.97 %	#62
62.	53541	42.566383, -90.033168	Gratiot, Wisconsin	1,011	10.91 %	#63
63.	50597	42.975250, -94.451731	West Bend, Iowa	1,408	10.87 %	#64
64.	18035	40.748795, -75.540167	Cherryville, Pennsylvania	66	10.71 %	#65
65.	67041	38.054381, -97.129218	Elbing, Kansas	218	10.68 %	#66
66.	63563	40.296193, -92.070607	Rutledge, Missouri	551	10.63 %	#67
67.	45817	40.878759, -83.883975	Bluffton, Ohio	6,503	10.55 %	#68
68.	53520	42.609145, -89.357778	Brodhead, Wisconsin	6,613	10.28 %	#69
69.	87564	36.612056, -105.627109	San Cristobal, New Mexico	338	10.16 %	#70
70.	52247	41.518674, -91.723290	Kalona, Iowa	5,437	10.14 %	#71
71.	83239	42.514620, -111.307440	Georgetown, Idaho	610	10.13 %	#72
72.	57054	44.131488, -97.259790	Ramona, South Dakota	545	10.13 %	#73
73.	28725	35.371622, -83.254699	Dillsboro, North Carolina	94	10.00 %	#74
74.	66516	39.616501, -95.720797	Netawaka, Kansas	417	10.00 %	#75
75.	62947	37.528448, -88.454604	Herod, Illinois	597	9.87 %	#76
76.	83119	42.667859, -111.012401	Fairview, Wyoming	96	9.87 %	#77
77.	53928	43.426783, -89.149606	Doylestown, Wisconsin	49	9.80 %	#78
78.	66534	39.876714, -95.836775	Sabetha, Kansas	3,626	9.79 %	#79
79.	68345	40.018889, -96.016026	Du Bois, Nebraska	233	9.73 %	#80
80.	46565	41.691206, -85.583664	Shipshewana, Indiana	7,022	9.69 %	#81
81.	46571	41.565539, -85.547025	Topeka, Indiana	5,009	9.69 %	#82
82.	44677	40.872350, -81.863190	Smithville, Ohio	2,614	9.68 %	#83
83.	98585	46.568779, -122.501232	Silver Creek, Washington	558	9.64 %	#84
84.	54610	44.365291, -91.831459	Alma, Wisconsin	1,877	9.63 %	#85
85.	98833	48.627386, -120.446510	Mazama, Washington	96	9.63 %	#86
86.	63626	38.055815, -90.628156	Blackwell, Missouri	142	9.60 %	#87
87.	44624	40.606944, -81.652175	Dundee, Ohio	4,522	9.58 %	#88
88.	43553	41.530771, -84.227201	Pettisville, Ohio	125	9.48 %	#89
89.	79011	35.635420, -100.207050	Briscoe, Texas	300	9.37 %	#90
90.	46573	41.539863, -86.059505	Wakarusa, Indiana	3,394	9.29 %	#91
91.	44640	40.984919, -81.146083	Limaville, Ohio	102	9.19 %	#92
92.	64436	39.857727, -94.691859	Cosby, Missouri	811	9.10 %	#93
93.	68441	40.229178, -96.252022	Steinauer, Nebraska	247	9.05 %	#94
94.	44667	40.835620, -81.763901	Orrville, Ohio	13,744	8.96 %	#95
95.	61729	40.627471, -89.215915	Congerville, Illinois	1,104	8.94 %	#96
96.	61060	42.477597, -89.612912	Orangeville, Illinois	1,469	8.91 %	#97
97.	67515	38.706187, -100.051165	Arnold, Kansas	125	8.88 %	#98
98.	72063	35.324337, -92.771676	Hattieville, Arkansas	1,491	8.84 %	#99
99.	61941	39.803900, -88.075546	Murdock, Illinois	117	8.75 %	#100
100.	43029	40.097477, -83.440642	Irwin, Ohio	621	8.73 %	#101

1-100 out of 31,614 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