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

United States Report:

Percentage of Russians

#	Zip Code	Location	City	Population	% Russians	National Rank
1.	99732	63.903609, -142.055746	Chicken, Alaska	27	33.33 %	#1
2.	25866	38.008644, -81.137222	Lochgelly, West Virginia	100	32.08 %	#2
3.	95735	38.805481, -120.132870	Twin Bridges, California	14	28.57 %	#3
4.	93623	37.483535, -119.679414	Fish Camp, California	63	28.57 %	#4
5.	18349	41.099514, -75.368212	Pocono Manor, Pennsylvania	125	25.73 %	#5
6.	15006	40.629420, -79.882643	Bairdford, Pennsylvania	247	24.69 %	#6
7.	58581	46.046269, -99.821218	Zeeland, North Dakota	318	24.07 %	#7
8.	57448	45.600071, -99.417448	Hosmer, South Dakota	437	22.51 %	#8
9.	58440	46.300153, -99.153841	Fredonia, North Dakota	213	21.70 %	#9
10.	11005	40.756578, -73.714178	Floral Park, New York	2,195	20.87 %	#10
11.	11235	40.583552, -73.947900	Brooklyn, New York	77,451	20.22 %	#11
12.	82837	44.790905, -106.198347	Leiter, Wyoming	28	20.00 %	#12
13.	79847	31.809627, -105.276504	Salt Flat, Texas	44	20.00 %	#13
14.	33446	26.451121, -80.186431	Delray Beach, Florida	15,146	19.73 %	#14
15.	57437	45.789053, -99.624988	Eureka, South Dakota	1,726	19.33 %	#15
16.	15776	41.010988, -79.111592	Sprankle Mills, Pennsylvania	58	19.04 %	#16
17.	58495	46.278365, -99.591869	Wishek, North Dakota	1,513	18.45 %	#17
18.	06090	41.944962, -72.867608	West Granby, Connecticut	717	16.73 %	#18
19.	58564	46.277147, -101.372036	Raleigh, North Dakota	166	16.28 %	#19
20.	11753	40.788668, -73.541676	Jericho, New York	11,648	16.14 %	#20
21.	90067	34.057496, -118.413959	Los Angeles, California	2,524	16.09 %	#21
22.	11374	40.726219, -73.861264	Rego Park, New York	44,189	16.01 %	#22
23.	60035	42.182110, -87.812051	Highland Park, Illinois	29,772	15.93 %	#23
24.	58561	46.491755, -99.697036	Napoleon, North Dakota	1,213	15.72 %	#24
25.	11224	40.577257, -73.989762	Brooklyn, New York	51,205	15.70 %	#25
26.	11797	40.820348, -73.472077	Woodbury, New York	9,005	15.54 %	#26
27.	58652	46.906214, -102.268978	Richardton, North Dakota	1,157	15.53 %	#27
28.	58413	46.034544, -99.254021	Ashley, North Dakota	1,271	15.33 %	#28
29.	57470	44.883901, -98.894286	Rockham, South Dakota	205	15.28 %	#29
30.	12416	42.102658, -74.282783	Chichester, New York	87	15.06 %	#30
31.	58631	46.798609, -101.837100	Glen Ullin, North Dakota	1,297	14.77 %	#31
32.	33496	26.405406, -80.157545	Boca Raton, Florida	20,658	14.76 %	#32
33.	33484	26.457230, -80.137519	Delray Beach, Florida	24,390	14.59 %	#33
34.	58562	46.318681, -102.015512	New Leipzig, North Dakota	557	14.58 %	#34
35.	21209	39.374122, -76.666693	Baltimore, Maryland	23,683	14.43 %	#35
36.	33109	25.761877, -80.140858	Miami Beach, Florida	467	14.24 %	#36
37.	58573	46.064656, -100.283253	Strasburg, North Dakota	890	13.91 %	#37
38.	58442	46.553679, -99.179594	Gackle, North Dakota	545	13.82 %	#38
39.	58723	47.759107, -100.679226	Butte, North Dakota	187	13.79 %	#39
40.	57632	45.836850, -100.075589	Herreid, South Dakota	686	13.76 %	#40
41.	10162	40.769298, -73.949942	New York, New York	1,726	13.67 %	#41
42.	58552	46.249550, -100.261422	Linton, North Dakota	2,194	13.65 %	#42
43.	57428	45.441277, -99.677926	Bowdle, South Dakota	813	13.63 %	#43
44.	97026	45.097318, -122.943806	Gervais, Oregon	3,397	13.59 %	#44
45.	11598	40.631555, -73.711280	Woodmere, New York	13,226	13.52 %	#45
46.	58542	46.037412, -100.055829	Hague, North Dakota	413	13.50 %	#46
47.	58460	46.326673, -99.329895	Lehr, North Dakota	305	13.46 %	#47
48.	60089	42.167231, -87.962924	Buffalo Grove, Illinois	42,115	13.30 %	#48
49.	02459	42.314292, -71.194611	Newton Center, Massachusetts	17,856	13.21 %	#49
50.	02067	42.108463, -71.185182	Sharon, Massachusetts	17,389	13.17 %	#50
51.	10597	41.292024, -73.606222	Waccabuc, New York	445	13.11 %	#51
52.	11576	40.803242, -73.637480	Roslyn, New York	11,810	13.09 %	#52
53.	11509	40.587962, -73.729710	Atlantic Beach, New York	2,861	13.07 %	#53
54.	99556	59.829589, -151.630103	Anchor Point, Alaska	2,417	12.89 %	#54
55.	15422	39.979175, -79.818927	Chestnut Ridge, Pennsylvania	345	12.88 %	#55
56.	33437	26.516231, -80.168113	Boynton Beach, Florida	39,212	12.83 %	#56
57.	58483	46.609117, -99.393718	Streeter, North Dakota	355	12.74 %	#57
58.	11229	40.601293, -73.944493	Brooklyn, New York	80,554	12.74 %	#58
59.	11557	40.635065, -73.691343	Hewlett, New York	7,966	12.70 %	#59
60.	91436	34.152875, -118.486056	Encino, California	13,109	12.64 %	#60
61.	21208	39.383959, -76.724261	Pikesville, Maryland	31,497	12.61 %	#61
62.	90046	34.108455, -118.362081	Los Angeles, California	49,831	12.58 %	#62
63.	19096	39.997758, -75.274112	Wynnewood, Pennsylvania	13,299	12.52 %	#63
64.	12784	41.667446, -74.611602	Thompsonville, New York	59	12.50 %	#64
65.	99644	57.910272, -152.382792	Ouzinkie, Alaska	244	12.50 %	#65
66.	19004	40.009753, -75.231508	Bala Cynwyd, Pennsylvania	9,299	12.40 %	#66
67.	57330	43.257308, -98.157816	Delmont, South Dakota	735	12.38 %	#67
68.	11021	40.786114, -73.728183	Great Neck, New York	19,623	12.38 %	#68
69.	19066	40.002694, -75.249023	Merion Station, Pennsylvania	5,951	12.32 %	#69
70.	07041	40.737406, -74.298021	Millburn, New Jersey	6,880	12.31 %	#70
71.	11020	40.770007, -73.712974	Great Neck, New York	4,043	12.28 %	#71
72.	18459	41.515264, -75.407977	South Canaan, Pennsylvania	119	12.16 %	#72
73.	33066	26.252758, -80.170374	Pompano Beach, Florida	16,785	12.07 %	#73
74.	19025	40.144657, -75.162776	Dresher, Pennsylvania	5,610	12.07 %	#74
75.	63750	37.132463, -90.171057	Gipsy, Missouri	131	11.90 %	#75
76.	95605	38.592745, -121.540036	West Sacramento, California	12,747	11.87 %	#76
77.	19072	40.024156, -75.257859	Narberth, Pennsylvania	9,824	11.56 %	#77
78.	98295	48.958114, -122.117603	Sumas, Washington	4,826	11.50 %	#78
79.	57456	45.758128, -99.020789	Leola, South Dakota	1,029	11.50 %	#79
80.	60015	42.170385, -87.871782	Deerfield, Illinois	27,224	11.50 %	#80
81.	11375	40.722975, -73.843179	Forest Hills, New York	70,204	11.47 %	#81
82.	02468	42.329175, -71.231583	Waban, Massachusetts	5,738	11.37 %	#82
83.	11042	40.758295, -73.697102	New Hyde Park, New York	513	11.35 %	#83
84.	06117	41.785160, -72.763564	West Hartford, Connecticut	17,553	11.33 %	#84
85.	15660	40.243584, -79.774659	Lowber, Pennsylvania	297	11.30 %	#85
86.	48322	42.538168, -83.381721	West Bloomfield, Michigan	30,130	11.22 %	#86
87.	10577	41.041731, -73.709727	Purchase, New York	3,454	11.16 %	#88
88.	57646	45.700393, -100.081293	Mound City, South Dakota	272	11.14 %	#89
89.	12448	42.089536, -74.200347	Lake Hill, New York	218	11.11 %	#90
90.	58638	46.927423, -102.047233	Hebron, North Dakota	1,069	11.11 %	#91
91.	33434	26.382712, -80.167138	Boca Raton, Florida	20,728	11.06 %	#92
92.	11230	40.622104, -73.965118	Brooklyn, New York	88,933	11.03 %	#93
93.	57452	45.558212, -99.883922	Java, South Dakota	375	10.94 %	#94
94.	58313	48.159676, -100.048449	Balta, North Dakota	61	10.93 %	#95
95.	11577	40.784638, -73.640578	Roslyn Heights, New York	12,176	10.92 %	#96
96.	67073	38.383819, -97.328482	Lehigh, Kansas	351	10.89 %	#97
97.	11023	40.799784, -73.733445	Great Neck, New York	8,501	10.88 %	#98
98.	11239	40.644728, -73.879186	Brooklyn, New York	14,620	10.87 %	#99
99.	10514	41.172330, -73.768948	Chappaqua, New York	12,004	10.77 %	#100
100.	90210	34.099891, -118.414338	Beverly Hills, California	21,396	10.73 %	#101

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