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

United States Report:

Percentage of Whites

#	Zip Code	Location	City	Population	% Whites	National Rank
1.	99732	63.903609, -142.055746	Chicken, Alaska	27	100.00 %	#1
2.	99146	48.957294, -118.280382	Laurier, Washington	44	100.00 %	#2
3.	99154	47.373718, -118.364699	Mohler, Washington	34	100.00 %	#3
4.	97604	43.008576, -122.204163	Crater Lake, Oregon	39	100.00 %	#4
5.	97819	44.490173, -117.731756	Bridgeport, Oregon	44	100.00 %	#5
6.	98222	48.565071, -122.792647	Blakely Island, Washington	64	100.00 %	#6
7.	98616	46.087943, -122.266703	Cougar, Washington	96	100.00 %	#7
8.	95735	38.805481, -120.132870	Twin Bridges, California	14	100.00 %	#8
9.	95736	39.009780, -120.978273	Weimar, California	29	100.00 %	#9
10.	95232	38.358464, -120.579304	Glencoe, California	17	100.00 %	#10
11.	97134	45.461864, -123.968928	Oceanside, Oregon	44	100.00 %	#11
12.	70521	30.336473, -91.849187	Cecilia, Louisiana	37	100.00 %	#12
13.	70375	29.699308, -90.552722	Mathews, Louisiana	79	100.00 %	#13
14.	69354	42.490539, -103.218623	Marsland, Nebraska	65	100.00 %	#14
15.	69355	41.782140, -103.517313	Melbeta, Nebraska	132	100.00 %	#15
16.	71316	31.241848, -91.741404	Acme, Louisiana	47	100.00 %	#16
17.	71659	34.154088, -91.814557	Moscow, Arkansas	8	100.00 %	#17
18.	71401	31.748861, -91.968654	Aimwell, Louisiana	119	100.00 %	#18
19.	71952	34.301405, -93.859430	Langley, Arkansas	206	100.00 %	#19
20.	71820	33.792956, -94.229162	Alleene, Arkansas	22	100.00 %	#20
21.	72139	35.360791, -91.507462	Russell, Arkansas	188	100.00 %	#21
22.	72133	34.174795, -91.567555	Reydell, Arkansas	23	100.00 %	#22
23.	72085	35.366943, -91.821941	Letona, Arkansas	132	100.00 %	#23
24.	72578	36.478570, -91.888963	Sturkie, Arkansas	114	100.00 %	#24
25.	72515	36.284993, -92.051868	Bexar, Arkansas	111	100.00 %	#25
26.	72424	36.380619, -90.738823	Datto, Arkansas	81	100.00 %	#27
27.	72553	35.693950, -91.477093	Magness, Arkansas	77	100.00 %	#28
28.	72181	35.164491, -92.452780	Wooster, Arkansas	41	100.00 %	#29
29.	72387	35.325706, -90.771557	Vanndale, Arkansas	41	100.00 %	#30
30.	72828	34.928524, -93.562707	Briggsville, Arkansas	114	100.00 %	#31
31.	73561	34.028346, -97.644441	Oscar, Oklahoma	15	100.00 %	#32
32.	75434	33.425661, -95.391682	Cunningham, Texas	68	100.00 %	#33
33.	76885	30.858957, -98.861313	Valley Spring, Texas	41	100.00 %	#34
34.	76831	30.774588, -98.981276	Castell, Texas	12	100.00 %	#35
35.	76949	32.034057, -100.690070	Silver, Texas	30	100.00 %	#36
36.	78074	29.949425, -98.785953	Waring, Texas	59	100.00 %	#37
37.	79025	34.925917, -102.217648	Dawn, Texas	138	100.00 %	#38
38.	80430	40.515722, -106.519584	Coalmont, Colorado	30	100.00 %	#39
39.	82322	42.164077, -107.812922	Bairoil, Wyoming	119	100.00 %	#40
41.	82710	44.805712, -104.220454	Aladdin, Wyoming	376	100.00 %	#42
42.	82714	44.563360, -104.685682	Devils Tower, Wyoming	85	100.00 %	#43
43.	82725	44.876794, -105.702597	Recluse, Wyoming	149	100.00 %	#44
44.	82061	41.445182, -105.161358	Horse Creek, Wyoming	21	100.00 %	#45
45.	80473	40.429847, -106.195540	Rand, Colorado	49	100.00 %	#46
47.	80479	40.000628, -106.899947	Toponas, Colorado	44	100.00 %	#48
50.	82844	44.797803, -107.228678	Wolf, Wyoming	25	100.00 %	#51
51.	82845	44.763362, -106.673474	Wyarno, Wyoming	49	100.00 %	#52
52.	81021	38.452377, -103.409305	Arlington, Colorado	20	100.00 %	#53
53.	82936	41.096157, -110.221522	Lonetree, Wyoming	68	100.00 %	#54
54.	90263	34.037037, -118.705803	Malibu, California	2	100.00 %	#55
56.	88126	33.788288, -103.279466	Pep, New Mexico	25	100.00 %	#57
58.	86430	35.342633, -114.512960	Bullhead City, Arizona	53	100.00 %	#59
59.	83243	42.268558, -112.674387	Holbrook, Idaho	95	100.00 %	#60
60.	83671	45.318557, -115.588555	Warren, Idaho	8	100.00 %	#61
61.	83547	45.297773, -116.328125	Pollock, Idaho	270	100.00 %	#62
62.	83602	44.092834, -116.143960	Banks, Idaho	23	100.00 %	#63
63.	83283	42.371097, -111.632456	Thatcher, Idaho	123	100.00 %	#64
64.	83287	42.022136, -111.458350	Fish Haven, Idaho	139	100.00 %	#65
65.	84304	41.821842, -111.979131	Cache Junction, Utah	43	100.00 %	#66
66.	83215	43.443012, -112.812768	Atomic City, Idaho	20	100.00 %	#67
67.	83812	47.013723, -116.261637	Clarkia, Idaho	97	100.00 %	#68
68.	83469	45.130004, -114.563726	Shoup, Idaho	15	100.00 %	#69
69.	83643	44.621392, -116.504946	Mesa, Idaho	95	100.00 %	#70
70.	84024	40.949790, -111.440800	Echo, Utah	73	100.00 %	#71
71.	84086	41.393941, -111.241608	Woodruff, Utah	369	100.00 %	#72
72.	92338	34.702766, -116.093376	Ludlow, California	10	100.00 %	#73
74.	99850	58.414534, -135.345832	Juneau, Alaska	10	100.00 %	#75
75.	63567	40.424368, -92.715620	Worthington, Missouri	145	100.00 %	#76
77.	63880	36.331047, -90.026517	Whiteoak, Missouri	39	100.00 %	#78
79.	63464	39.964496, -92.064581	Plevna, Missouri	43	100.00 %	#80
81.	63387	39.168733, -91.026437	Whiteside, Missouri	95	100.00 %	#82
82.	64457	40.162713, -94.682355	Guilford, Missouri	323	100.00 %	#83
83.	64471	40.274616, -94.193859	New Hampton, Missouri	559	100.00 %	#84
87.	64781	37.979459, -93.808180	Roscoe, Missouri	84	100.00 %	#88
91.	65320	39.089489, -92.942024	Arrow Rock, Missouri	91	100.00 %	#92
92.	65532	37.771107, -91.670239	Lake Spring, Missouri	54	100.00 %	#93
93.	65701	36.795787, -92.775526	Mc Clurg, Missouri	25	100.00 %	#94
94.	65727	37.765849, -93.295111	Polk, Missouri	157	100.00 %	#95
95.	65354	38.678154, -92.918056	Syracuse, Missouri	262	100.00 %	#96
97.	66077	39.422814, -95.115761	Potter, Kansas	77	100.00 %	#98
100.	66759	37.568663, -95.938866	New Albany, Kansas	44	100.00 %	#101
40.	80740	39.725661, -103.382898	Lindon, Colorado	107	100.00 %	#41
46.	82837	44.790905, -106.198347	Leiter, Wyoming	28	100.00 %	#47
48.	81243	38.222076, -107.186763	Powderhorn, Colorado	76	100.00 %	#49
49.	82190	44.832382, -110.888662	Yellowstone National Park, Wyoming	64	100.00 %	#50
55.	88347	32.748932, -105.614342	Sacramento, New Mexico	127	100.00 %	#56
57.	88354	32.783735, -105.427521	Weed, New Mexico	124	100.00 %	#58
73.	91743	34.065838, -117.589053	Guasti, California	3	100.00 %	#74
76.	63763	37.050366, -90.184100	Mc Gee, Missouri	138	100.00 %	#77
78.	63460	40.011297, -92.207573	Novelty, Missouri	344	100.00 %	#79
80.	63824	37.004158, -89.525611	Blodgett, Missouri	120	100.00 %	#81
84.	64165	39.321457, -94.573972	Kansas City, Missouri	61	100.00 %	#85
85.	64438	40.171906, -94.410370	Darlington, Missouri	283	100.00 %	#86
86.	64745	38.151260, -94.507744	Foster, Missouri	51	100.00 %	#87
88.	65035	38.347899, -91.924208	Freeburg, Missouri	1,599	100.00 %	#89
89.	65054	38.478929, -91.951245	Loose Creek, Missouri	554	100.00 %	#90
90.	65062	38.501140, -91.659576	Mount Sterling, Missouri	8	100.00 %	#91
96.	66118	39.106147, -94.613268	Kansas City, Kansas	1	100.00 %	#97
98.	66862	38.156119, -96.531876	Matfield Green, Kansas	161	100.00 %	#99
99.	67018	37.058581, -97.864803	Bluff City, Kansas	154	100.00 %	#100

1-100 out of 31,799 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