Zip Codes with the Highest Percentage of Danish in South Dakota

South Dakota Report:

Percentage of Danish

Percentage of Danish in the United States by Zip Code

Percentage of Danish in the United States by City

#	Zip Code	Location	City	Population	% Danish	National Rank
1.	57070	43.186205, -97.166660	Viborg, South Dakota	1,400	27.98 %	#14
2.	57214	44.480747, -97.207006	Badger, South Dakota	156	21.57 %	#28
3.	57037	43.104561, -97.249244	Irene, South Dakota	1,083	17.12 %	#54
4.	57036	43.279505, -97.149572	Hurley, South Dakota	867	14.83 %	#84
5.	57212	44.378729, -97.139135	Arlington, South Dakota	2,002	13.53 %	#102
6.	57073	43.005958, -97.055057	Wakonda, South Dakota	735	11.93 %	#132
7.	57051	44.221016, -97.345821	Oldham, South Dakota	417	10.87 %	#152
8.	57014	43.099908, -96.950879	Centerville, South Dakota	1,640	10.12 %	#169
9.	57233	44.505260, -97.403632	Erwin, South Dakota	165	9.18 %	#205
10.	57249	44.305877, -97.433427	Lake Preston, South Dakota	1,130	9.07 %	#210
11.	57367	43.050350, -98.510570	Pickstown, South Dakota	176	8.73 %	#221
12.	57779	44.573061, -103.776177	Saint Onge, South Dakota	160	8.33 %	#246
13.	57364	43.434336, -98.617566	New Holland, South Dakota	68	8.19 %	#261
14.	57329	42.988775, -98.143820	Dante, South Dakota	270	7.47 %	#313
15.	57046	42.963725, -97.306152	Mission Hill, South Dakota	649	7.30 %	#326
16.	57031	42.879112, -97.187735	Gayville, South Dakota	689	7.07 %	#348
17.	57312	44.204013, -98.365928	Alpena, South Dakota	567	6.85 %	#371
18.	57562	43.955797, -100.983737	Okaton, South Dakota	50	6.81 %	#377
19.	57053	43.417435, -97.135498	Parker, South Dakota	1,931	6.65 %	#396
20.	57279	45.404033, -96.836346	Wilmot, South Dakota	1,229	6.64 %	#397
21.	57004	43.079433, -96.787659	Beresford, South Dakota	3,326	6.59 %	#400
22.	57072	42.988671, -97.188559	Volin, South Dakota	672	6.23 %	#438
23.	57651	45.475472, -103.148843	Reva, South Dakota	150	5.71 %	#505
24.	57237	44.796462, -96.530951	Gary, South Dakota	635	5.62 %	#521
25.	57231	44.375865, -97.582357	De Smet, South Dakota	1,855	5.61 %	#525
26.	57725	43.932032, -102.791900	Caputa, South Dakota	150	5.55 %	#537
27.	57024	43.991175, -96.681272	Egan, South Dakota	405	5.54 %	#538
28.	57541	43.594002, -99.932051	Ideal, South Dakota	262	5.50 %	#543
29.	57017	44.015255, -96.819123	Colman, South Dakota	1,372	5.46 %	#553
30.	57012	43.603419, -97.243002	Canistota, South Dakota	1,168	5.20 %	#598
31.	57247	45.724003, -97.459472	Lake City, South Dakota	296	5.07 %	#616
32.	57016	43.899015, -96.958995	Chester, South Dakota	685	5.07 %	#617
33.	57078	42.915648, -97.446689	Yankton, South Dakota	18,008	5.02 %	#635
34.	57043	43.408232, -97.309855	Marion, South Dakota	1,564	5.00 %	#638
35.	57340	43.795764, -97.837547	Fulton, South Dakota	311	4.91 %	#667
36.	57071	44.272319, -96.962925	Volga, South Dakota	2,452	4.88 %	#678
37.	57537	44.544939, -101.076340	Hayes, South Dakota	134	4.84 %	#686
38.	57021	43.271392, -96.982572	Davis, South Dakota	295	4.79 %	#698
39.	57322	44.639402, -97.971704	Carpenter, South Dakota	354	4.71 %	#721
40.	57383	43.708571, -98.704103	White Lake, South Dakota	831	4.69 %	#723
41.	57256	45.236003, -97.202744	Ortley, South Dakota	98	4.67 %	#730
42.	57065	43.923069, -96.652687	Trent, South Dakota	408	4.56 %	#756
43.	57269	45.229711, -96.794173	Twin Brooks, South Dakota	412	4.43 %	#788
44.	57761	44.205159, -102.750000	New Underwood, South Dakota	1,123	4.32 %	#816
45.	57449	45.737408, -98.176157	Houghton, South Dakota	206	4.25 %	#845
46.	57054	44.131488, -97.259790	Ramona, South Dakota	545	4.24 %	#846
47.	57075	44.004375, -96.959014	Wentworth, South Dakota	771	4.19 %	#860
48.	57534	43.613357, -99.705648	Hamill, South Dakota	180	4.11 %	#885
49.	57268	44.567787, -96.694974	Toronto, South Dakota	444	4.02 %	#906
50.	57068	43.572833, -96.499455	Valley Springs, South Dakota	1,585	4.00 %	#910
51.	57263	45.143950, -97.016600	South Shore, South Dakota	560	3.90 %	#951
52.	57029	43.334745, -97.470784	Freeman, South Dakota	2,299	3.84 %	#973
53.	57002	44.298575, -96.680382	Aurora, South Dakota	858	3.82 %	#983
54.	57218	44.652379, -96.592103	Brandt, South Dakota	356	3.69 %	#1,036
55.	57040	43.061032, -97.587350	Lesterville, South Dakota	471	3.64 %	#1,057
56.	57067	43.063033, -97.479540	Utica, South Dakota	561	3.48 %	#1,105
57.	57001	42.974254, -96.617731	Alcester, South Dakota	2,136	3.40 %	#1,139
58.	57241	44.676190, -97.230361	Hayti, South Dakota	880	3.40 %	#1,140
59.	57220	44.467055, -96.917466	Bruce, South Dakota	850	3.36 %	#1,160
60.	57264	45.116757, -96.823791	Stockholm, South Dakota	237	3.32 %	#1,173
61.	57064	43.456944, -96.878265	Tea, South Dakota	2,691	3.30 %	#1,179
62.	57234	44.610285, -96.894291	Estelline, South Dakota	1,250	3.26 %	#1,213
63.	57110	43.545488, -96.642616	Sioux Falls, South Dakota	8,440	3.23 %	#1,226
64.	57045	43.205008, -97.528384	Menno, South Dakota	1,138	3.22 %	#1,234
65.	57248	44.583539, -97.187953	Lake Norden, South Dakota	830	3.21 %	#1,237
66.	57236	44.970814, -97.636916	Garden City, South Dakota	372	3.20 %	#1,242
67.	57265	44.992209, -96.781557	Strandburg, South Dakota	267	3.19 %	#1,254
68.	57020	43.675327, -96.827906	Crooks, South Dakota	1,112	3.15 %	#1,276
69.	57005	43.592486, -96.590078	Brandon, South Dakota	7,058	3.14 %	#1,278
70.	57528	43.176347, -99.781019	Colome, South Dakota	865	3.14 %	#1,279
71.	57039	43.337838, -96.874855	Lennox, South Dakota	3,228	3.14 %	#1,283
72.	57758	44.980444, -102.784344	Mud Butte, South Dakota	146	3.12 %	#1,289
73.	57026	44.258921, -96.540366	Elkton, South Dakota	1,323	3.12 %	#1,296
74.	57006	44.308488, -96.796083	Brookings, South Dakota	21,095	3.11 %	#1,297
75.	57105	43.519421, -96.733117	Sioux Falls, South Dakota	24,644	3.07 %	#1,325
76.	57476	44.699046, -98.635640	Tulare, South Dakota	489	3.05 %	#1,335
77.	57767	44.126914, -102.591012	Owanka, South Dakota	132	3.03 %	#1,353
78.	57533	43.255736, -99.405693	Gregory, South Dakota	1,994	3.00 %	#1,373
79.	57382	44.059026, -98.659699	Wessington Springs, South Dakota	1,719	2.98 %	#1,382
80.	57769	44.270091, -103.377549	Piedmont, South Dakota	2,915	2.97 %	#1,390
81.	57003	43.746313, -96.755327	Baltic, South Dakota	1,568	2.97 %	#1,393
82.	57787	44.604685, -102.813829	Union Center, South Dakota	209	2.96 %	#1,401
83.	57276	44.430861, -96.613455	White, South Dakota	1,203	2.94 %	#1,406
84.	57543	43.749335, -101.453738	Kadoka, South Dakota	937	2.91 %	#1,427
85.	57013	43.278376, -96.617496	Canton, South Dakota	4,384	2.89 %	#1,439
86.	57477	45.033820, -98.144343	Turton, South Dakota	163	2.85 %	#1,463
87.	57730	43.772306, -103.735316	Custer, South Dakota	4,993	2.84 %	#1,474
88.	57032	43.424192, -96.678132	Harrisburg, South Dakota	2,476	2.81 %	#1,485
89.	57321	43.870131, -97.560020	Canova, South Dakota	532	2.81 %	#1,490
90.	57033	43.617972, -96.960938	Hartford, South Dakota	3,983	2.79 %	#1,498
91.	57501	44.527597, -100.309041	Pierre, South Dakota	15,620	2.79 %	#1,501
92.	57323	44.157769, -97.715184	Carthage, South Dakota	333	2.76 %	#1,513
93.	57022	43.841527, -96.695677	Dell Rapids, South Dakota	4,268	2.72 %	#1,536
94.	57755	45.846200, -103.331974	Ludlow, South Dakota	153	2.70 %	#1,551
95.	57348	44.625569, -98.372220	Hitchcock, South Dakota	601	2.70 %	#1,553
96.	57332	43.550572, -97.636937	Emery, South Dakota	835	2.69 %	#1,556
97.	57365	43.859304, -99.400002	Oacoma, South Dakota	493	2.69 %	#1,564
98.	57069	42.829342, -96.947478	Vermillion, South Dakota	11,336	2.62 %	#1,605
99.	57384	44.416769, -98.485405	Wolsey, South Dakota	888	2.61 %	#1,610
100.	57762	44.700513, -103.595363	Nisland, South Dakota	553	2.59 %	#1,625

1-100 out of 363 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