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

United States Report:

Percentage of Dutch

#	Zip Code	Location	City	Population	% Dutch	National Rank
1.	61077	42.237411, -89.358030	Seward, Illinois	42	100.00 %	#1
2.	56153	43.826383, -96.024232	Leota, Minnesota	233	76.83 %	#2
3.	51036	42.969720, -96.189483	Maurice, Iowa	690	72.93 %	#3
4.	17076	40.620637, -77.309084	Oakland Mills, Pennsylvania	119	71.79 %	#4
5.	51239	43.193928, -96.154220	Hull, Iowa	2,931	70.45 %	#5
6.	49335	42.745386, -85.668963	Moline, Michigan	219	69.46 %	#6
7.	51247	43.193752, -96.338127	Rock Valley, Iowa	4,422	69.30 %	#7
8.	51235	43.297946, -96.216786	Doon, Iowa	1,100	67.36 %	#8
9.	51250	43.076976, -96.204836	Sioux Center, Iowa	7,285	67.05 %	#9
10.	99732	63.903609, -142.055746	Chicken, Alaska	27	66.66 %	#10
11.	56128	43.883491, -96.118597	Edgerton, Minnesota	1,993	65.75 %	#11
12.	57344	43.463307, -98.634725	Harrison, South Dakota	186	63.76 %	#12
13.	71820	33.792956, -94.229162	Alleene, Arkansas	22	59.09 %	#13
14.	50251	41.575020, -92.880654	Sully, Iowa	1,403	58.50 %	#14
15.	56281	44.955853, -95.177294	Prinsburg, Minnesota	603	55.98 %	#15
16.	56122	43.898445, -95.956000	Chandler, Minnesota	672	54.77 %	#16
17.	15763	40.905056, -79.143613	Northpoint, Pennsylvania	32	54.54 %	#17
18.	50143	41.341836, -92.804656	Leighton, Iowa	613	54.04 %	#18
19.	57364	43.434336, -98.617566	New Holland, South Dakota	68	52.45 %	#19
20.	51041	43.027141, -96.076217	Orange City, Iowa	6,602	52.12 %	#20
21.	49464	42.844801, -85.984794	Zeeland, Michigan	21,038	52.02 %	#21
22.	57328	43.437622, -98.439006	Corsica, South Dakota	1,302	52.01 %	#22
23.	32335	30.045197, -85.075935	Sumatra, Florida	11	50.00 %	#23
24.	49426	42.861792, -85.896883	Hudsonville, Michigan	27,015	49.33 %	#24
25.	49419	42.679739, -85.980751	Hamilton, Michigan	6,479	49.11 %	#25
26.	49657	44.215267, -85.183625	Mc Bain, Michigan	3,329	46.56 %	#26
27.	67664	39.817253, -99.565240	Prairie View, Kansas	324	45.07 %	#27
28.	50219	41.420909, -92.896533	Pella, Iowa	12,745	44.99 %	#28
29.	50214	41.469931, -93.056110	Otley, Iowa	834	44.56 %	#29
30.	25022	37.865077, -81.797716	Blair, West Virginia	159	44.44 %	#30
31.	51234	43.193399, -96.030260	Boyden, Iowa	1,240	44.12 %	#31
32.	56177	43.874131, -96.252497	Trosky, Minnesota	123	42.73 %	#32
33.	51248	43.198679, -95.656103	Sanborn, Iowa	1,931	42.54 %	#33
34.	51240	43.309361, -96.458419	Inwood, Iowa	1,831	42.51 %	#34
35.	50153	41.564034, -92.809716	Lynnville, Iowa	772	42.48 %	#35
36.	53070	43.627010, -87.812937	Oostburg, Wisconsin	4,637	42.13 %	#36
37.	53935	43.585381, -89.071303	Friesland, Wisconsin	147	42.04 %	#37
38.	56173	43.525151, -96.241181	Steen, Minnesota	429	41.51 %	#38
39.	30726	34.976009, -85.141441	Graysville, Georgia	48	41.00 %	#39
40.	69219	42.687956, -101.037101	Nenzel, Nebraska	9	40.00 %	#40
41.	49315	42.803973, -85.740652	Byron Center, Michigan	13,721	39.10 %	#41
42.	51027	42.966515, -96.326460	Ireton, Iowa	1,248	38.81 %	#42
43.	43914	39.768798, -80.944206	Cameron, Ohio	74	38.46 %	#43
44.	51238	43.074351, -95.892733	Hospers, Iowa	1,244	38.17 %	#44
45.	49632	44.239007, -84.967889	Falmouth, Michigan	1,148	37.08 %	#45
46.	45624	39.163759, -83.354251	Cynthiana, Ohio	120	36.22 %	#46
47.	49428	42.917512, -85.835346	Jenison, Michigan	24,452	35.86 %	#47
48.	51201	43.183440, -95.862677	Sheldon, Iowa	6,245	35.85 %	#48
49.	51244	43.242534, -95.934580	Matlock, Iowa	45	35.29 %	#49
50.	78658	29.599771, -97.588135	Ottine, Texas	102	35.29 %	#50
51.	51003	42.978769, -95.989423	Alton, Iowa	1,628	34.91 %	#51
52.	88040	31.941716, -108.387538	Hachita, New Mexico	86	34.09 %	#52
53.	49418	42.876500, -85.777140	Grandville, Michigan	25,028	33.97 %	#53
54.	50232	41.556725, -92.969720	Reasnor, Iowa	582	33.49 %	#54
55.	56186	44.033228, -96.074258	Woodstock, Minnesota	460	33.14 %	#55
56.	57041	43.724886, -96.861186	Lyons, South Dakota	102	32.71 %	#56
57.	57375	43.563945, -98.489710	Stickney, South Dakota	774	32.69 %	#57
58.	80426	39.865363, -106.949929	Burns, Colorado	89	31.94 %	#58
59.	12429	41.815633, -73.974822	Esopus, New York	51	31.81 %	#59
60.	43336	40.293419, -83.583099	Middleburg, Ohio	63	31.25 %	#60
61.	53013	43.566689, -87.857051	Cedar Grove, Wisconsin	3,056	31.11 %	#61
62.	50207	41.431966, -92.637540	New Sharon, Iowa	2,689	31.10 %	#62
63.	49423	42.743806, -86.083703	Holland, Michigan	46,804	30.83 %	#63
64.	51230	43.356790, -96.308175	Alvord, Iowa	449	30.26 %	#64
65.	61252	41.846678, -90.122788	Fulton, Illinois	5,823	30.26 %	#65
66.	57369	43.434866, -98.933703	Platte, South Dakota	2,777	29.29 %	#66
67.	49434	42.769658, -86.205446	Macatawa, Michigan	44	29.23 %	#67
68.	51246	43.434380, -96.158729	Rock Rapids, Iowa	3,786	28.73 %	#68
69.	49316	42.804553, -85.555433	Caledonia, Michigan	13,968	28.60 %	#69
70.	51242	43.440798, -96.334615	Lester, Iowa	211	28.57 %	#70
71.	49424	42.851627, -86.123410	Holland, Michigan	42,299	28.52 %	#71
72.	49435	43.024459, -85.834989	Marne, Michigan	3,615	28.47 %	#72
73.	49460	42.939431, -86.132496	West Olive, Michigan	7,697	28.36 %	#73
74.	15440	39.733340, -79.606044	Gibbon Glade, Pennsylvania	333	28.21 %	#74
75.	56138	43.534582, -96.389525	Hills, Minnesota	834	28.17 %	#75
76.	51350	43.308446, -95.595654	Melvin, Iowa	483	27.87 %	#76
77.	56134	43.790501, -96.228735	Hardwick, Minnesota	395	27.72 %	#77
78.	53956	43.546705, -89.016106	Randolph, Wisconsin	3,313	27.55 %	#78
79.	98264	48.950253, -122.459792	Lynden, Washington	16,795	27.40 %	#79
80.	52543	41.201977, -92.512669	Cedar, Iowa	275	27.16 %	#80
81.	22924	38.001103, -78.722539	Batesville, Virginia	59	27.02 %	#81
82.	25936	37.933950, -81.073357	Thurmond, West Virginia	75	26.53 %	#82
83.	50137	41.608226, -92.904421	Killduff, Iowa	64	26.53 %	#83
84.	54140	44.287745, -88.309204	Little Chute, Wisconsin	8,530	26.36 %	#84
85.	53919	43.733861, -88.776015	Brandon, Wisconsin	2,649	26.25 %	#85
86.	58542	46.037412, -100.055829	Hague, North Dakota	413	26.14 %	#86
87.	67438	38.515821, -97.278375	Durham, Kansas	324	26.10 %	#87
88.	26424	39.268418, -80.165149	Rosemont, West Virginia	98	26.00 %	#88
89.	50119	41.313093, -92.939687	Harvey, Iowa	520	25.94 %	#89
90.	56045	43.762432, -93.195530	Hollandale, Minnesota	783	25.88 %	#90
91.	49404	43.070693, -85.951738	Coopersville, Michigan	7,952	25.85 %	#91
92.	46998	40.574753, -86.350827	Young America, Indiana	115	25.45 %	#92
93.	95736	39.009780, -120.978273	Weimar, California	29	25.00 %	#93
94.	26720	39.281441, -79.325999	Gormania, West Virginia	182	25.00 %	#94
95.	65468	37.271130, -91.784196	Eunice, Missouri	35	25.00 %	#95
96.	49401	42.975656, -85.939287	Allendale, Michigan	13,110	24.51 %	#96
97.	54136	44.267393, -88.338600	Kimberly, Wisconsin	5,908	24.37 %	#97
98.	53963	43.644142, -88.748161	Waupun, Wisconsin	13,422	24.20 %	#98
99.	49323	42.717853, -85.791078	Dorr, Michigan	7,817	24.18 %	#99
100.	51237	43.334511, -96.010646	George, Iowa	1,775	24.12 %	#100

1-100 out of 31,614 total

1 2 3 4 5 6 ... [ Last >> ] ... [ Next >> ]

% 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