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

United States Report:

Percentage of English

#	Zip Code	Location	City	Population	% English	National Rank
1.	24415	37.932493, -79.322085	Brownsburg, Virginia	21	100.00 %	#1
2.	22548	37.825167, -76.704166	Sharps, Virginia	11	100.00 %	#2
3.	28378	34.859710, -79.051783	Rex, North Carolina	49	100.00 %	#3
4.	42403	37.449359, -87.929438	Blackford, Kentucky	30	100.00 %	#4
5.	87573	35.811494, -105.673481	Tererro, New Mexico	19	100.00 %	#5
6.	45114	39.362597, -83.864307	Cuba, Ohio	29	100.00 %	#6
7.	45115	38.814683, -83.704258	Decatur, Ohio	28	100.00 %	#7
8.	48743	44.442112, -83.876347	Long Lake, Michigan	25	100.00 %	#8
9.	39771	33.606811, -89.275596	Walthall, Mississippi	27	100.00 %	#9
10.	41760	37.212417, -83.078342	Scuddy, Kentucky	114	75.24 %	#10
11.	04413	45.533071, -67.744141	Brookton, Maine	170	71.34 %	#11
12.	24131	37.570310, -80.232729	Paint Bank, Virginia	148	70.00 %	#12
13.	25165	38.141672, -81.660941	Racine, West Virginia	130	68.00 %	#13
14.	41135	38.362741, -83.270794	Emerson, Kentucky	352	67.47 %	#14
15.	32183	29.084501, -81.835317	Ocklawaha, Florida	90	67.14 %	#15
16.	53195	42.513643, -88.484260	Zenda, Wisconsin	101	66.66 %	#16
17.	84764	37.643673, -112.212781	Bryce, Utah	85	66.29 %	#17
18.	21810	38.293004, -75.687476	Allen, Maryland	38	65.00 %	#19
19.	41604	37.380740, -82.663565	Beaver, Kentucky	312	62.12 %	#20
20.	84637	38.813941, -112.699083	Kanosh, Utah	84	62.00 %	#21
21.	24731	37.400523, -81.148292	Kegley, West Virginia	164	61.70 %	#22
22.	84645	39.860513, -111.840055	Mona, Utah	1,417	61.21 %	#23
23.	22957	38.229674, -78.191677	Montpelier Station, Virginia	30	60.93 %	#24
24.	84776	37.700220, -112.015753	Tropic, Utah	514	60.03 %	#25
25.	21866	37.967128, -76.021365	Tylerton, Maryland	85	58.82 %	#26
26.	23440	37.838810, -75.995819	Tangier, Virginia	693	58.56 %	#27
27.	25025	38.312074, -81.377518	Blount, West Virginia	255	57.73 %	#28
28.	25540	38.157024, -82.127441	Midkiff, West Virginia	237	57.65 %	#29
29.	23304	36.992325, -76.570378	Battery Park, Virginia	126	57.24 %	#30
30.	40941	37.184317, -83.654115	Garrard, Kentucky	269	57.21 %	#31
31.	41421	37.991411, -83.149314	Elkfork, Kentucky	109	56.25 %	#32
32.	25022	37.865077, -81.797716	Blair, West Virginia	159	55.55 %	#33
33.	84732	38.450551, -111.902621	Greenwich, Utah	67	55.10 %	#34
34.	23354	37.479173, -75.902453	Franktown, Virginia	314	54.94 %	#35
35.	84753	37.969014, -113.857429	Modena, Utah	87	54.79 %	#36
36.	84038	41.789746, -111.435422	Laketown, Utah	317	54.26 %	#37
37.	84002	40.456697, -110.325839	Altonah, Utah	110	54.16 %	#38
38.	27943	35.218373, -75.687462	Hatteras, North Carolina	634	53.83 %	#39
39.	98025	47.429256, -121.887337	Hobart, Washington	133	52.94 %	#40
40.	38030	35.974140, -89.582619	Finley, Tennessee	220	51.61 %	#41
41.	83223	42.182459, -111.433521	Bloomington, Idaho	268	51.38 %	#42
42.	27936	35.242441, -75.618528	Frisco, North Carolina	401	50.96 %	#43
43.	81243	38.222076, -107.186763	Powderhorn, Colorado	76	50.68 %	#44
44.	86021	36.988657, -112.899024	Colorado City, Arizona	4,064	50.67 %	#45
45.	25818	37.866397, -81.192011	Bradley, West Virginia	109	50.63 %	#46
46.	27202	36.185580, -79.506028	Altamahaw, North Carolina	24	50.00 %	#47
47.	21627	38.175538, -76.047801	Crocheron, Maryland	34	50.00 %	#48
48.	83433	44.496242, -111.327185	Macks Inn, Idaho	49	50.00 %	#50
49.	45349	39.990917, -83.938169	North Hampton, Ohio	110	50.00 %	#51
50.	82084	41.023724, -105.444307	Tie Siding, Wyoming	23	50.00 %	#52
51.	95728	39.279068, -120.414275	Soda Springs, California	76	50.00 %	#53
52.	21824	37.977220, -76.028791	Ewell, Maryland	279	49.71 %	#54
53.	66760	37.348316, -94.624352	Opolis, Kansas	117	49.45 %	#55
54.	42762	37.447204, -86.397944	Millwood, Kentucky	258	48.57 %	#56
55.	83866	47.184211, -116.412103	Santa, Idaho	300	48.14 %	#58
56.	84626	39.889570, -112.003221	Elberta, Utah	288	47.80 %	#59
57.	59841	46.334211, -114.222998	Pinesdale, Montana	446	47.74 %	#60
58.	24218	36.732213, -83.065203	Ben Hur, Virginia	91	47.41 %	#61
59.	84033	40.975444, -111.502205	Henefer, Utah	931	46.86 %	#62
60.	23423	37.530821, -75.693724	Quinby, Virginia	419	46.76 %	#63
61.	99146	48.957294, -118.280382	Laurier, Washington	44	46.66 %	#64
62.	25076	37.842492, -81.882912	Ethel, West Virginia	283	46.15 %	#65
63.	24962	37.672837, -80.735147	Pence Springs, West Virginia	51	46.15 %	#66
64.	84726	37.623162, -111.531139	Escalante, Utah	971	45.23 %	#67
65.	43467	41.250142, -83.485940	West Millgrove, Ohio	32	45.00 %	#68
66.	84656	39.236543, -112.164526	Scipio, Utah	308	44.98 %	#69
67.	84749	38.378508, -111.602903	Lyman, Utah	217	44.98 %	#70
68.	84718	37.564745, -112.114524	Cannonville, Utah	164	44.62 %	#71
69.	83312	42.026182, -113.591375	Almo, Idaho	140	44.23 %	#72
70.	83234	42.431913, -112.075724	Downey, Idaho	1,204	44.01 %	#73
71.	84649	39.375458, -112.282095	Oak City, Utah	801	43.96 %	#74
72.	84330	41.907908, -112.132795	Plymouth, Utah	385	43.57 %	#75
73.	84640	39.528067, -112.481778	Lynndyl, Utah	148	43.31 %	#76
74.	83232	42.144412, -111.962558	Dayton, Idaho	241	43.04 %	#77
75.	89317	38.877416, -115.003354	Lund, Nevada	292	42.96 %	#78
76.	96119	41.042003, -120.506086	Madeline, California	70	42.85 %	#79
77.	23184	37.285793, -76.530620	Wicomico, Virginia	44	42.85 %	#80
78.	40020	37.937581, -85.389770	Fairfield, Kentucky	40	42.85 %	#81
79.	83261	42.237527, -111.396737	Paris, Idaho	594	42.83 %	#82
80.	21130	39.465161, -76.201154	Perryman, Maryland	128	42.55 %	#83
81.	84747	38.371597, -111.739786	Loa, Utah	943	42.55 %	#84
82.	08329	39.275985, -75.007658	Mauricetown, New Jersey	162	42.42 %	#86
83.	83286	42.085186, -112.030648	Weston, Idaho	1,114	42.29 %	#87
84.	30522	34.795583, -84.342302	Cherrylog, Georgia	584	42.27 %	#88
85.	84725	37.547591, -113.862547	Enterprise, Utah	1,472	42.08 %	#89
86.	84313	41.149551, -113.661460	Grouse Creek, Utah	121	42.04 %	#90
87.	40915	36.887310, -83.807554	Bimble, Kentucky	949	42.03 %	#91
88.	84035	40.446672, -109.198727	Jensen, Utah	727	42.03 %	#92
89.	25047	37.920527, -81.767625	Clothier, West Virginia	402	41.98 %	#93
90.	04625	44.240082, -68.263388	Cranberry Isles, Maine	54	41.93 %	#94
91.	04628	44.890935, -67.250582	Dennysville, Maine	667	41.67 %	#95
92.	72528	36.234116, -92.103848	Dolph, Arkansas	248	41.53 %	#96
93.	36790	32.728068, -86.898505	Stanton, Alabama	189	41.46 %	#97
94.	14708	42.019219, -78.063617	Alma, New York	171	41.43 %	#98
95.	25685	37.775006, -82.332643	Naugatuck, West Virginia	138	41.25 %	#99
96.	04658	44.507893, -67.878002	Milbridge, Maine	1,277	41.07 %	#100
97.	30726	34.976009, -85.141441	Graysville, Georgia	48	41.00 %	#101
98.	18357	41.230605, -75.238504	Skytop, Pennsylvania	87	40.97 %	#102
99.	84636	39.087742, -112.312877	Holden, Utah	444	40.93 %	#103
100.	28581	34.844375, -76.435463	Stacy, North Carolina	206	40.78 %	#104

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