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

United States Report:

Percentage of Welsh

#	Zip Code	Location	City	Population	% Welsh	National Rank
1.	65062	38.501140, -91.659576	Mount Sterling, Missouri	8	41.66 %	#1
2.	21717	39.336956, -77.435683	Buckeystown, Maryland	68	40.62 %	#2
3.	87011	34.045516, -106.018685	Claunch, New Mexico	53	38.70 %	#3
4.	83243	42.268558, -112.674387	Holbrook, Idaho	95	33.77 %	#4
5.	95721	38.851842, -120.076204	Echo Lake, California	60	28.57 %	#5
6.	47139	38.700553, -85.904105	Little York, Indiana	42	22.22 %	#6
7.	18413	41.649697, -75.597080	Clifford, Pennsylvania	195	22.17 %	#7
8.	83121	41.810777, -110.538012	Frontier, Wyoming	21	18.75 %	#9
9.	83252	42.174414, -112.406565	Malad City, Idaho	3,942	18.49 %	#10
10.	43066	40.401335, -83.153117	Radnor, Ohio	1,085	18.17 %	#11
11.	26463	39.438766, -80.349468	Wyatt, West Virginia	164	17.24 %	#12
12.	45685	38.931802, -82.456548	Thurman, Ohio	918	16.73 %	#13
13.	98222	48.565071, -122.792647	Blakely Island, Washington	64	16.66 %	#14
14.	81128	37.168068, -106.740149	Chromo, Colorado	165	15.51 %	#15
15.	59424	47.394232, -110.005500	Coffee Creek, Montana	22	15.38 %	#16
16.	61419	41.200969, -90.118912	Bishop Hill, Illinois	46	14.81 %	#17
17.	18459	41.515264, -75.407977	South Canaan, Pennsylvania	119	14.18 %	#18
18.	14060	42.450155, -78.296467	Farmersville Station, New York	441	14.13 %	#19
19.	64638	39.612058, -93.615116	Dawn, Missouri	640	13.99 %	#20
20.	59058	47.025164, -107.805201	Mosby, Montana	40	13.97 %	#21
21.	80430	40.515722, -106.519584	Coalmont, Colorado	30	13.88 %	#22
22.	84766	38.547380, -112.357386	Sevier, Utah	157	13.86 %	#23
23.	43350	40.395140, -82.699151	Sparta, Ohio	57	13.84 %	#24
24.	97842	45.523452, -116.755233	Imnaha, Oregon	167	13.55 %	#25
25.	19457	40.206881, -75.585751	Parker Ford, Pennsylvania	196	12.82 %	#26
26.	83126	42.594064, -110.830273	Smoot, Wyoming	207	12.65 %	#27
27.	16937	41.967896, -77.710941	Mills, Pennsylvania	124	12.38 %	#28
28.	76874	30.474031, -100.107382	Roosevelt, Texas	98	12.31 %	#29
29.	83808	47.266884, -116.143376	Calder, Idaho	110	12.28 %	#30
30.	81430	38.099341, -108.004883	Placerville, Colorado	93	12.16 %	#31
31.	59928	48.809070, -114.069666	Polebridge, Montana	90	12.00 %	#32
32.	18430	41.763887, -75.503006	Herrick Center, Pennsylvania	62	11.76 %	#33
33.	92305	34.167800, -116.864330	Angelus Oaks, California	289	11.55 %	#34
34.	84667	39.453232, -111.673267	Wales, Utah	319	11.47 %	#35
35.	47856	39.811558, -87.142492	Judson, Indiana	86	11.47 %	#36
36.	52220	41.729894, -91.997876	Conroy, Iowa	72	11.46 %	#37
37.	18653	41.400080, -75.824732	Ransom, Pennsylvania	125	11.17 %	#38
38.	03441	42.825401, -72.445418	Ashuelot, New Hampshire	317	11.11 %	#39
39.	70801	30.449200, -91.186235	Baton Rouge, Louisiana	88	10.95 %	#40
40.	97721	43.122165, -118.389265	Princeton, Oregon	218	10.92 %	#41
41.	18825	41.826103, -75.597592	Jackson, Pennsylvania	200	10.85 %	#42
42.	86430	35.342633, -114.512960	Bullhead City, Arizona	53	10.29 %	#43
43.	23130	37.401504, -76.282730	Onemo, Virginia	126	10.22 %	#44
44.	45809	40.840942, -84.180016	Gomer, Ohio	208	10.13 %	#45
45.	13438	43.354138, -75.159614	Remsen, New York	4,364	10.05 %	#46
46.	13469	43.214828, -75.302367	Stittville, New York	807	10.05 %	#47
47.	45656	38.869833, -82.585785	Oak Hill, Ohio	6,515	10.05 %	#48
48.	97712	43.771253, -120.490891	Brothers, Oregon	35	10.00 %	#49
49.	19519	40.321182, -75.733322	Earlville, Pennsylvania	91	10.00 %	#50
50.	92328	36.276880, -117.033326	Death Valley, California	442	9.90 %	#51
51.	72515	36.284993, -92.051868	Bexar, Arkansas	111	9.90 %	#52
52.	95424	38.970739, -122.663820	Clearlake Park, California	91	9.89 %	#53
53.	83421	43.987943, -111.550988	Chester, Idaho	280	9.73 %	#54
54.	27982	35.562630, -75.470911	Waves, North Carolina	50	9.72 %	#55
55.	75764	31.889038, -95.156300	Gallatin, Texas	229	9.66 %	#56
56.	67513	38.430135, -99.537571	Alexander, Kansas	115	9.64 %	#57
57.	84621	39.073692, -111.884175	Axtell, Utah	203	9.63 %	#58
58.	81239	38.590972, -106.570620	Parlin, Colorado	160	9.52 %	#59
59.	76845	31.528930, -99.480415	Gouldbusk, Texas	159	9.37 %	#61
60.	18012	40.812250, -75.592194	Aquashicola, Pennsylvania	55	9.33 %	#62
61.	83657	44.186914, -116.347219	Ola, Idaho	171	9.30 %	#63
62.	25204	37.897130, -81.606021	Twilight, West Virginia	340	9.26 %	#64
63.	20701	39.128093, -76.792239	Annapolis Junction, Maryland	40	9.25 %	#65
64.	25115	38.132333, -81.194088	Kanawha Falls, West Virginia	105	9.23 %	#66
65.	26447	38.908317, -80.475009	Walkersville, West Virginia	775	9.20 %	#67
66.	24562	37.718310, -78.640859	Howardsville, Virginia	254	9.17 %	#68
67.	45894	40.759425, -84.471116	Venedocia, Ohio	684	9.15 %	#69
68.	88065	32.662092, -108.296692	Tyrone, New Mexico	372	8.98 %	#70
69.	44678	40.558291, -81.350190	Somerdale, Ohio	213	8.94 %	#71
70.	13313	42.878248, -75.267671	Bridgewater, New York	620	8.90 %	#72
71.	45353	40.297525, -84.023390	Pemberton, Ohio	112	8.88 %	#73
72.	18341	41.000776, -75.132222	Minisink Hills, Pennsylvania	186	8.87 %	#74
73.	92384	35.924252, -116.188668	Shoshone, California	70	8.87 %	#75
74.	18651	41.254109, -75.959745	Plymouth, Pennsylvania	9,704	8.83 %	#76
75.	68723	42.282752, -97.208240	Carroll, Nebraska	610	8.78 %	#77
76.	13354	43.261606, -75.270920	Holland Patent, New York	3,090	8.71 %	#78
77.	40763	36.689199, -83.925619	Siler, Kentucky	543	8.71 %	#79
78.	97732	43.426238, -118.341989	Crane, Oregon	113	8.55 %	#80
79.	25154	38.133510, -81.731850	Peytona, West Virginia	958	8.53 %	#81
80.	18708	41.295730, -75.963196	Shavertown, Pennsylvania	8,784	8.52 %	#82
81.	16694	40.168656, -78.139873	Wood, Pennsylvania	151	8.52 %	#83
82.	67334	37.025634, -96.178218	Chautauqua, Kansas	76	8.51 %	#84
83.	43317	40.479847, -82.683235	Chesterville, Ohio	104	8.49 %	#85
84.	18504	41.425215, -75.696155	Scranton, Pennsylvania	22,070	8.35 %	#86
85.	18601	41.067902, -76.178203	Beach Haven, Pennsylvania	261	8.33 %	#87
86.	08074	39.716183, -75.172270	Richwood, New Jersey	57	8.33 %	#88
87.	19523	40.203761, -75.837424	Geigertown, Pennsylvania	117	8.33 %	#89
88.	41142	38.277962, -83.072918	Grahn, Kentucky	95	8.33 %	#90
89.	13486	43.347530, -75.356372	Westernville, New York	832	8.31 %	#91
90.	28735	35.474962, -82.347445	Gerton, North Carolina	167	8.25 %	#92
91.	50137	41.608226, -92.904421	Killduff, Iowa	64	8.16 %	#93
92.	14415	42.753296, -77.023266	Bellona, New York	62	8.10 %	#94
93.	05764	43.525972, -73.189974	Poultney, Vermont	3,699	8.05 %	#95
94.	74761	33.988254, -95.194351	Swink, Oklahoma	227	8.03 %	#96
95.	18251	41.005872, -76.085137	Sybertsville, Pennsylvania	95	8.00 %	#97
96.	81431	38.112345, -108.467944	Redvale, Colorado	381	7.97 %	#98
97.	16343	41.417814, -79.743383	Reno, Pennsylvania	417	7.94 %	#99
98.	57426	45.725442, -98.504771	Barnard, South Dakota	88	7.82 %	#100
99.	12837	43.476445, -73.255601	Hampton, New York	849	7.81 %	#101
100.	20319	38.867147, -77.016598	Washington, District Of Columbia	57	7.81 %	#102

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