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

United States Report:

Percentage of Hungarians

#	Zip Code	Location	City	Population	% Hungarians	National Rank
1.	58641	46.667130, -102.486272	Lefor, North Dakota	107	30.23 %	#1
2.	15053	40.380435, -80.360677	Joffre, Pennsylvania	64	25.67 %	#2
3.	15420	39.957128, -79.868052	Cardale, Pennsylvania	128	22.50 %	#3
4.	08528	40.391847, -74.619948	Kingston, New Jersey	143	16.36 %	#4
5.	26865	39.205600, -78.512418	Yellow Spring, West Virginia	296	14.88 %	#5
6.	15625	40.266702, -79.675270	Darragh, Pennsylvania	41	13.79 %	#6
7.	15492	40.118345, -79.764086	Wickhaven, Pennsylvania	56	13.79 %	#7
8.	15427	40.068210, -79.973300	Daisytown, Pennsylvania	1,162	13.50 %	#8
9.	24888	37.360127, -81.502749	Thorpe, West Virginia	146	12.24 %	#9
10.	88114	33.483319, -103.313806	Crossroads, New Mexico	46	12.00 %	#10
11.	48190	42.131536, -83.593808	Whittaker, Michigan	106	11.64 %	#11
12.	25049	38.115290, -81.558223	Comfort, West Virginia	327	11.56 %	#12
13.	15368	40.014591, -79.989508	Vestaburg, Pennsylvania	514	11.45 %	#13
14.	49075	41.915015, -85.455090	Nottawa, Michigan	161	10.90 %	#14
15.	33945	26.582563, -82.213061	Pineland, Florida	79	10.89 %	#15
16.	78623	29.960572, -98.201092	Fischer, Texas	310	10.81 %	#16
17.	15476	39.869459, -79.920371	Ronco, Pennsylvania	321	10.67 %	#17
18.	15957	40.546257, -78.899995	Strongstown, Pennsylvania	336	9.96 %	#18
19.	43029	40.097477, -83.440642	Irwin, Ohio	621	9.87 %	#19
20.	26544	39.713538, -80.172697	Pentress, West Virginia	200	9.80 %	#20
21.	08554	40.115259, -74.778861	Roebling, New Jersey	3,656	9.55 %	#21
22.	23045	37.427884, -76.269104	Diggs, Virginia	192	9.37 %	#22
23.	58650	46.419931, -102.585345	Regent, North Dakota	484	9.20 %	#23
24.	05666	44.353785, -72.435272	North Montpelier, Vermont	80	9.09 %	#24
25.	43536	41.313478, -84.634005	Mark Center, Ohio	451	8.92 %	#25
26.	43909	40.068145, -80.818476	Blaine, Ohio	87	8.82 %	#26
27.	16677	40.777099, -78.286059	Sandy Ridge, Pennsylvania	329	8.71 %	#27
28.	15752	40.546040, -79.279823	Kent, Pennsylvania	95	8.69 %	#28
29.	28707	35.419332, -83.079839	Balsam, North Carolina	49	8.62 %	#29
30.	33001	24.817135, -80.806013	Long Key, Florida	544	8.31 %	#30
31.	43905	40.105937, -80.849674	Barton, Ohio	234	8.28 %	#31
32.	15358	40.054649, -79.997405	Richeyville, Pennsylvania	734	8.09 %	#32
33.	12863	43.063469, -73.935709	Rock City Falls, New York	596	7.95 %	#33
34.	43963	40.174562, -80.692966	Tiltonsville, Ohio	1,296	7.90 %	#34
35.	44082	41.761873, -80.567535	Pierpont, Ohio	1,469	7.90 %	#35
36.	15547	40.158335, -79.057539	Jennerstown, Pennsylvania	313	7.87 %	#36
37.	07077	40.553712, -74.253211	Sewaren, New Jersey	2,781	7.79 %	#37
38.	44099	41.549205, -80.983305	Windsor, Ohio	1,647	7.58 %	#38
39.	45740	39.476847, -82.076306	Jacksonville, Ohio	416	7.43 %	#39
40.	15674	40.207313, -79.494949	Norvelt, Pennsylvania	459	7.30 %	#40
41.	13640	44.326315, -75.991361	Wellesley Island, New York	326	7.29 %	#41
42.	12063	42.553220, -73.632347	East Schodack, New York	192	7.25 %	#42
43.	07976	40.729572, -74.492095	New Vernon, New Jersey	729	7.20 %	#43
44.	15930	40.294039, -78.717721	Dunlo, Pennsylvania	168	7.18 %	#44
45.	26534	39.646572, -79.988546	Granville, West Virginia	653	7.12 %	#45
46.	48630	44.325675, -84.774032	Houghton Lake Heights, Michigan	265	7.05 %	#46
47.	46595	41.526334, -86.166612	Wyatt, Indiana	117	7.03 %	#47
48.	44671	40.645181, -81.365757	Sandyville, Ohio	383	6.99 %	#48
49.	18221	40.997068, -75.904798	Drifton, Pennsylvania	309	6.98 %	#49
50.	44255	41.303157, -81.227901	Mantua, Ohio	8,454	6.93 %	#50
51.	07064	40.568447, -74.247736	Port Reading, New Jersey	3,828	6.88 %	#51
52.	15754	40.559015, -79.151094	Lucernemines, Pennsylvania	511	6.87 %	#52
53.	43730	39.618641, -82.101440	Corning, Ohio	2,479	6.77 %	#53
54.	43616	41.655956, -83.438325	Oregon, Ohio	16,776	6.75 %	#54
55.	22741	38.440240, -77.878311	Stevensburg, Virginia	209	6.66 %	#55
56.	89411	39.023665, -119.825401	Genoa, Nevada	444	6.62 %	#56
57.	15460	39.807134, -79.907610	Martin, Pennsylvania	119	6.61 %	#57
58.	15745	40.625257, -78.920006	Heilwood, Pennsylvania	331	6.55 %	#58
59.	58630	46.869094, -102.565463	Gladstone, North Dakota	521	6.49 %	#59
60.	10950	41.317294, -74.197530	Monroe, New York	38,791	6.49 %	#60
61.	13667	44.837240, -74.960450	Norfolk, New York	3,524	6.48 %	#61
62.	44050	41.248733, -82.128200	Lagrange, Ohio	5,888	6.48 %	#62
63.	43971	40.153710, -80.707142	Yorkville, Ohio	1,277	6.46 %	#63
64.	49792	45.354421, -84.300773	Tower, Michigan	69	6.38 %	#64
65.	44072	41.471152, -81.324920	Novelty, Ohio	4,082	6.31 %	#65
66.	98539	46.637019, -123.279465	Doty, Washington	184	6.30 %	#66
67.	70711	30.530369, -90.598868	Albany, Louisiana	3,844	6.29 %	#67
68.	44076	41.532030, -80.816751	Orwell, Ohio	4,519	6.24 %	#68
69.	43438	41.602607, -82.706506	Kelleys Island, Ohio	367	6.21 %	#70
70.	44084	41.671377, -80.899161	Rock Creek, Ohio	3,433	6.18 %	#71
71.	15721	40.812319, -78.798097	Burnside, Pennsylvania	283	6.09 %	#72
72.	08850	40.448582, -74.441418	Milltown, New Jersey	8,461	6.07 %	#73
73.	15963	40.220951, -78.781115	Windber, Pennsylvania	11,942	6.05 %	#74
74.	15473	40.055368, -79.793752	Perryopolis, Pennsylvania	3,691	6.04 %	#75
75.	15444	40.012145, -79.908474	Hiller, Pennsylvania	555	6.04 %	#76
76.	15031	40.368384, -80.177081	Cuddy, Pennsylvania	576	6.02 %	#77
77.	12720	41.663925, -74.918974	Bethel, New York	168	5.98 %	#78
78.	34762	28.729849, -81.938122	Okahumpka, Florida	372	5.94 %	#79
79.	43901	40.223586, -80.855814	Adena, Ohio	2,303	5.94 %	#80
80.	18067	40.718768, -75.483052	Northampton, Pennsylvania	15,953	5.91 %	#81
81.	44064	41.621372, -81.030134	Montville, Ohio	1,659	5.89 %	#82
82.	08863	40.537300, -74.311151	Fords, New Jersey	11,698	5.88 %	#83
83.	15779	40.414066, -79.231459	Torrance, Pennsylvania	516	5.85 %	#84
84.	92066	33.215251, -116.536330	Ranchita, California	338	5.84 %	#85
85.	43913	40.274781, -80.658478	Brilliant, Ohio	1,728	5.79 %	#86
86.	07095	40.553151, -74.288563	Woodbridge, New Jersey	20,298	5.78 %	#87
87.	23938	36.898645, -77.996167	Dundas, Virginia	394	5.76 %	#88
88.	98641	46.562265, -124.028893	Oysterville, Washington	48	5.76 %	#90
89.	43618	41.662649, -83.360545	Oregon, Ohio	2,964	5.71 %	#92
90.	67739	39.888068, -100.786208	Herndon, Kansas	328	5.71 %	#93
91.	44054	41.471600, -82.090338	Sheffield Lake, Ohio	12,052	5.70 %	#94
92.	15620	40.322956, -79.341876	Bradenville, Pennsylvania	617	5.65 %	#95
93.	44053	41.429936, -82.216113	Lorain, Ohio	17,193	5.62 %	#96
94.	95430	38.445603, -123.063756	Duncans Mills, California	175	5.60 %	#97
95.	25625	37.828174, -82.072811	Holden, West Virginia	1,133	5.59 %	#98
96.	58631	46.798609, -101.837100	Glen Ullin, North Dakota	1,297	5.58 %	#99
97.	63866	36.536606, -89.601567	Marston, Missouri	658	5.56 %	#100
98.	49119	41.874173, -86.549249	New Troy, Michigan	112	5.55 %	#101
99.	79748	32.392111, -101.648343	Knott, Texas	247	5.55 %	#102
100.	44418	41.306501, -80.606788	Fowler, Ohio	1,237	5.54 %	#103

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