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

United States Report:

Percentage of Swedes

#	Zip Code	Location	City	Population	% Swedes	National Rank
1.	23001	37.292591, -76.408678	Achilles, Virginia	28	100.00 %	#1
2.	60519	41.778113, -88.242002	Eola, Illinois	74	50.00 %	#2
3.	82335	41.804194, -106.773767	Walcott, Wyoming	44	48.64 %	#3
4.	83119	42.667859, -111.012401	Fairview, Wyoming	96	45.67 %	#4
5.	95041	37.051166, -122.056194	Mount Hermon, California	76	39.08 %	#5
6.	68786	42.501560, -97.557442	Wausa, Nebraska	1,140	31.03 %	#6
7.	77428	28.717530, -96.147938	Collegeport, Texas	77	30.76 %	#7
8.	67464	38.572962, -97.885498	Marquette, Kansas	1,030	30.64 %	#8
9.	68666	41.110595, -97.611211	Stromsburg, Nebraska	1,691	30.38 %	#9
10.	56720	48.574103, -96.886583	Donaldson, Minnesota	69	30.08 %	#10
11.	56734	48.770296, -96.602484	Lake Bronson, Minnesota	546	30.08 %	#11
12.	67456	38.596240, -97.680439	Lindsborg, Kansas	4,530	29.97 %	#12
13.	52652	41.097904, -91.554298	Swedesburg, Iowa	86	29.87 %	#13
14.	61414	41.126132, -90.162662	Altona, Illinois	1,013	29.83 %	#14
15.	56733	48.623020, -96.921686	Kennedy, Minnesota	615	29.39 %	#15
16.	61490	41.192456, -90.255696	Woodhull, Illinois	941	29.23 %	#16
17.	04762	46.958248, -68.124731	New Sweden, Maine	534	29.10 %	#17
18.	66966	39.773447, -97.753225	Scandia, Kansas	662	28.59 %	#18
19.	49834	45.935599, -87.803412	Foster City, Michigan	279	28.41 %	#19
20.	68958	40.518810, -99.497357	Loomis, Nebraska	705	27.39 %	#20
21.	61468	41.244967, -90.407287	Ophiem, Illinois	143	27.36 %	#21
22.	68940	40.547151, -99.246818	Funk, Nebraska	533	27.25 %	#22
23.	49962	46.839281, -88.131113	Skanee, Michigan	248	27.06 %	#23
24.	50249	42.275327, -93.903082	Stratford, Iowa	1,361	26.95 %	#24
25.	68654	41.067027, -97.779132	Polk, Nebraska	615	26.17 %	#25
26.	68846	41.068251, -97.895188	Hordville, Nebraska	339	26.09 %	#26
27.	83337	43.309080, -115.067948	Hill City, Idaho	18	26.08 %	#27
28.	56728	48.784275, -96.977458	Hallock, Minnesota	1,621	25.61 %	#28
29.	55017	45.687859, -93.434603	Dalbo, Minnesota	692	25.47 %	#29
30.	61466	41.108655, -90.479349	North Henderson, Illinois	357	25.25 %	#30
31.	56735	48.931143, -96.554290	Lancaster, Minnesota	880	25.22 %	#31
32.	55080	45.666418, -93.222230	Stanchfield, Minnesota	2,297	25.09 %	#32
33.	95736	39.009780, -120.978273	Weimar, California	29	25.00 %	#33
34.	98235	48.460985, -122.233908	Clearlake, Washington	95	25.00 %	#34
35.	51573	40.977712, -95.085271	Stanton, Iowa	1,208	24.74 %	#35
36.	68728	42.375131, -96.947120	Concord, Nebraska	280	24.11 %	#36
37.	54769	44.527298, -92.241064	Stockholm, Wisconsin	325	24.01 %	#37
38.	68452	40.401587, -97.852541	Ong, Nebraska	119	23.91 %	#38
39.	68045	41.825554, -96.492473	Oakland, Nebraska	2,045	23.90 %	#39
40.	61274	41.368567, -90.277196	Osco, Illinois	404	23.69 %	#40
41.	56732	48.565307, -96.475876	Karlstad, Minnesota	1,224	23.58 %	#41
42.	28367	35.174402, -79.728648	Norman, North Carolina	79	23.52 %	#42
43.	61472	41.103310, -90.383336	Rio, Illinois	666	22.84 %	#43
44.	54839	46.333885, -91.159381	Grand View, Wisconsin	301	22.76 %	#44
45.	50510	42.759296, -94.985603	Albert City, Iowa	1,227	22.76 %	#45
46.	97125	45.662737, -123.232346	Manning, Oregon	63	22.64 %	#46
47.	56685	48.238688, -94.531271	Waskish, Minnesota	129	22.56 %	#47
48.	84732	38.450551, -111.902621	Greenwich, Utah	67	22.44 %	#48
49.	50543	42.272916, -94.302494	Gowrie, Iowa	1,479	22.43 %	#49
50.	55012	45.438085, -92.788113	Center City, Minnesota	1,574	22.24 %	#50
51.	56022	44.041711, -94.838968	Darfur, Minnesota	133	22.01 %	#51
52.	23125	37.343229, -76.279828	New Point, Virginia	119	21.87 %	#52
53.	66939	39.857484, -97.901262	Courtland, Kansas	652	21.75 %	#53
54.	49115	41.875061, -86.641328	Harbert, Michigan	36	21.73 %	#54
55.	61238	41.286966, -90.174237	Cambridge, Illinois	3,388	21.72 %	#55
56.	55006	45.738160, -93.215044	Braham, Minnesota	3,262	21.68 %	#56
57.	67442	38.657479, -97.786403	Falun, Kansas	223	21.62 %	#57
58.	55325	45.092093, -94.319218	Dassel, Minnesota	4,112	21.60 %	#58
59.	04783	47.028810, -68.242949	Stockholm, Maine	655	21.50 %	#59
60.	66520	39.418894, -96.617663	Olsburg, Kansas	528	21.44 %	#60
61.	55032	45.586714, -92.998023	Harris, Minnesota	3,101	21.42 %	#61
62.	55784	47.058391, -93.165281	Swan River, Minnesota	77	21.42 %	#62
63.	56761	48.595533, -95.675823	Wannaska, Minnesota	569	21.39 %	#63
64.	67868	37.888096, -100.714595	Pierceville, Kansas	122	21.21 %	#64
65.	56758	48.470412, -96.541140	Strandquist, Minnesota	425	21.15 %	#65
66.	55074	45.389697, -92.734382	Shafer, Minnesota	893	21.14 %	#66
67.	55008	45.569486, -93.276659	Cambridge, Minnesota	12,310	21.06 %	#67
68.	68923	40.377389, -99.501452	Atlanta, Nebraska	175	20.95 %	#68
69.	80473	40.429847, -106.195540	Rand, Colorado	49	20.93 %	#69
70.	56710	48.188661, -96.988179	Alvarado, Minnesota	527	20.92 %	#70
71.	83277	43.078349, -112.676867	Springfield, Idaho	149	20.86 %	#71
72.	55084	45.462591, -92.716225	Taylors Falls, Minnesota	1,431	20.82 %	#72
73.	61467	41.069401, -90.242457	Oneida, Illinois	1,241	20.73 %	#73
74.	54840	45.762250, -92.686959	Grantsburg, Wisconsin	4,494	20.70 %	#74
75.	55717	47.059050, -92.460469	Canyon, Minnesota	376	20.62 %	#75
76.	61262	41.276171, -90.362230	Lynn Center, Illinois	878	20.59 %	#76
77.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	20.58 %	#77
78.	50246	42.285107, -93.790520	Stanhope, Iowa	828	20.46 %	#78
79.	14738	42.045388, -79.056846	Frewsburg, New York	3,800	20.45 %	#79
80.	80612	40.881541, -104.828050	Carr, Colorado	195	20.45 %	#80
81.	66838	38.552676, -96.754841	Burdick, Kansas	199	20.34 %	#81
82.	51448	42.205359, -95.309789	Kiron, Iowa	654	20.32 %	#82
83.	50544	42.255095, -94.166776	Harcourt, Iowa	608	20.28 %	#83
84.	56313	45.785999, -93.553512	Bock, Minnesota	52	20.28 %	#84
85.	51638	40.824904, -95.263539	Essex, Iowa	1,620	20.24 %	#85
86.	67491	38.387496, -97.902441	Windom, Kansas	415	20.00 %	#86
87.	80866	39.105052, -105.244358	Woodland Park, Colorado	111	20.00 %	#87
88.	16333	41.753624, -78.919668	Ludlow, Pennsylvania	389	19.81 %	#88
89.	61485	41.022341, -90.089100	Victoria, Illinois	643	19.57 %	#89
90.	61331	41.745142, -89.276970	Lee Center, Illinois	51	19.51 %	#90
91.	16740	41.751841, -78.622445	Mount Jewett, Pennsylvania	1,284	19.51 %	#91
92.	55702	46.953167, -92.697989	Alborn, Minnesota	404	19.33 %	#92
93.	16735	41.611384, -78.828387	Kane, Pennsylvania	6,678	19.25 %	#93
94.	15454	39.866963, -79.863526	Leckrone, Pennsylvania	145	19.23 %	#94
95.	56729	48.645080, -96.548732	Halma, Minnesota	187	19.08 %	#95
96.	54459	45.430620, -90.312155	Ogema, Wisconsin	1,359	19.08 %	#96
97.	50040	42.173645, -94.106139	Boxholm, Iowa	223	19.07 %	#97
98.	61413	41.190597, -90.368905	Alpha, Illinois	1,244	18.99 %	#98
99.	55616	47.165792, -91.642073	Two Harbors, Minnesota	6,806	18.96 %	#99
100.	55051	45.947760, -93.297788	Mora, Minnesota	9,171	18.89 %	#100

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