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

United States Report:

Percentage of Poles

#	Zip Code	Location	City	Population	% Poles	National Rank
1.	78144	28.957538, -97.890389	Panna Maria, Texas	41	100.00 %	#1
2.	25855	37.942806, -81.151143	Hilltop, West Virginia	38	100.00 %	#2
3.	78113	28.977484, -98.071792	Falls City, Texas	1,893	50.12 %	#3
4.	68817	41.267480, -98.793822	Ashton, Nebraska	471	50.00 %	#4
5.	49776	45.245423, -83.722627	Posen, Michigan	2,042	49.66 %	#5
6.	62831	38.234969, -89.222732	Du Bois, Illinois	695	49.15 %	#6
7.	57239	45.509211, -97.299294	Grenville, South Dakota	257	48.20 %	#7
8.	78116	29.117609, -97.772239	Gillett, Texas	240	47.69 %	#8
9.	54473	44.650645, -89.352368	Rosholt, Wisconsin	2,502	47.11 %	#9
10.	54423	44.633903, -89.462294	Custer, Wisconsin	2,029	45.94 %	#10
11.	07057	40.853084, -74.106323	Wallington, New Jersey	11,583	45.52 %	#11
12.	54625	44.132702, -91.520917	Dodge, Wisconsin	272	44.81 %	#12
13.	11222	40.728367, -73.945427	Brooklyn, New York	39,360	42.65 %	#13
14.	54747	44.394958, -91.500452	Independence, Wisconsin	2,429	41.78 %	#14
15.	54103	45.636396, -88.520774	Armstrong Creek, Wisconsin	537	41.38 %	#15
16.	43909	40.068145, -80.818476	Blaine, Ohio	87	41.17 %	#16
17.	49722	45.416200, -84.866533	Conway, Michigan	83	40.62 %	#17
18.	47986	40.507066, -87.203951	Templeton, Indiana	73	40.42 %	#18
19.	18634	41.185012, -76.023088	Nanticoke, Pennsylvania	14,185	40.38 %	#19
20.	56328	45.955721, -94.514478	Flensburg, Minnesota	143	40.37 %	#20
21.	60557	41.438362, -88.769875	Wedron, Illinois	101	39.61 %	#22
22.	14206	42.880078, -78.810472	Buffalo, New York	22,988	39.30 %	#23
23.	62883	38.168038, -89.104683	Scheller, Illinois	607	39.09 %	#24
24.	54440	44.813612, -89.370207	Hatley, Wisconsin	2,866	37.82 %	#26
25.	25977	37.798919, -80.921540	Meadow Creek, West Virginia	49	37.50 %	#27
26.	54137	44.758807, -88.257427	Krakow, Wisconsin	1,101	37.47 %	#28
27.	56314	45.817053, -94.442870	Bowlus, Minnesota	1,052	37.25 %	#29
28.	18641	41.333286, -75.736544	Pittston, Pennsylvania	6,252	36.56 %	#30
29.	43127	39.483094, -82.328398	Haydenville, Ohio	67	36.36 %	#31
30.	62876	38.291101, -89.190269	Radom, Illinois	330	36.04 %	#32
31.	14227	42.886935, -78.730383	Buffalo, New York	24,573	35.46 %	#33
32.	15777	40.693717, -78.959968	Starford, Pennsylvania	121	35.10 %	#34
33.	18617	41.176580, -76.079834	Glen Lyon, Pennsylvania	1,892	35.05 %	#35
34.	99667	61.806241, -151.742977	Skwentna, Alaska	161	34.82 %	#36
35.	78117	28.966588, -97.923263	Hobson, Texas	577	34.71 %	#37
36.	48475	43.670124, -82.933407	Ubly, Michigan	2,780	33.65 %	#39
37.	68634	41.378670, -97.490755	Duncan, Nebraska	326	33.51 %	#40
38.	18519	41.463071, -75.630851	Dickson City, Pennsylvania	5,322	33.31 %	#41
39.	18642	41.356348, -75.773181	Duryea, Pennsylvania	4,151	33.14 %	#42
40.	54447	45.106647, -90.722090	Lublin, Wisconsin	555	32.92 %	#43
41.	54407	44.532382, -89.304847	Amherst Junction, Wisconsin	1,761	32.72 %	#44
42.	19435	40.327484, -75.569174	Frederick, Pennsylvania	73	32.35 %	#45
43.	13495	43.114019, -75.271854	Yorkville, New York	2,271	32.35 %	#46
44.	62808	38.306180, -89.188699	Ashley, Illinois	1,496	31.89 %	#47
45.	14043	42.900438, -78.701764	Depew, New York	26,537	31.84 %	#48
46.	54612	44.249551, -91.501347	Arcadia, Wisconsin	4,475	31.66 %	#49
47.	48434	43.661719, -82.612881	Forestville, Michigan	106	31.45 %	#50
48.	60634	41.946189, -87.806117	Chicago, Illinois	74,164	31.38 %	#51
49.	68853	41.288137, -98.981939	Loup City, Nebraska	1,591	31.26 %	#52
50.	01038	42.385496, -72.606930	Hatfield, Massachusetts	2,558	31.18 %	#53
51.	58261	48.288209, -97.287019	Minto, North Dakota	1,036	30.79 %	#54
52.	49743	45.266958, -83.893364	Hawks, Michigan	860	30.58 %	#55
53.	17834	40.787577, -76.468560	Kulpmont, Pennsylvania	3,494	30.56 %	#56
54.	13417	43.101278, -75.293446	New York Mills, New York	3,180	30.31 %	#57
55.	60706	41.963820, -87.816767	Harwood Heights, Illinois	22,809	30.28 %	#58
56.	82845	44.763362, -106.673474	Wyarno, Wyoming	49	30.23 %	#59
57.	17976	40.822230, -76.204485	Shenandoah, Pennsylvania	7,864	30.22 %	#60
58.	14212	42.894746, -78.820451	Buffalo, New York	15,364	30.21 %	#61
59.	60638	41.783650, -87.770407	Chicago, Illinois	55,788	30.15 %	#62
60.	48470	43.739107, -82.773235	Ruth, Michigan	921	30.12 %	#63
61.	54162	44.662540, -88.270904	Pulaski, Wisconsin	7,380	29.58 %	#64
62.	68663	41.311197, -97.701080	Silver Creek, Nebraska	861	29.03 %	#65
63.	46595	41.526334, -86.166612	Wyatt, Indiana	117	28.90 %	#66
64.	54771	44.931521, -90.801969	Thorp, Wisconsin	3,826	28.87 %	#67
65.	19137	39.995604, -75.074623	Philadelphia, Pennsylvania	8,069	28.64 %	#68
66.	15631	40.090245, -79.587608	Everson, Pennsylvania	983	28.63 %	#69
67.	44080	41.371590, -81.065647	Parkman, Ohio	108	28.57 %	#70
68.	95735	38.805481, -120.132870	Twin Bridges, California	14	28.57 %	#71
69.	68838	41.231787, -98.676056	Farwell, Nebraska	422	28.38 %	#72
70.	17832	40.804821, -76.455124	Marion Heights, Pennsylvania	755	28.27 %	#73
71.	18234	40.992540, -75.964634	Lattimer Mines, Pennsylvania	461	28.18 %	#74
72.	49634	44.215690, -86.289669	Filer City, Michigan	86	27.77 %	#75
73.	54481	44.544653, -89.560343	Stevens Point, Wisconsin	37,335	27.62 %	#76
74.	48445	43.950222, -82.990555	Kinde, Michigan	1,741	27.52 %	#77
75.	60171	41.925482, -87.839077	River Grove, Illinois	10,681	27.43 %	#78
76.	48432	43.901679, -82.974888	Filion, Michigan	794	27.34 %	#79
77.	76629	31.153602, -96.665768	Bremond, Texas	1,926	27.34 %	#80
78.	49736	46.065236, -84.145816	Goetzville, Michigan	599	27.31 %	#81
79.	18706	41.193156, -75.935911	Wilkes Barre, Pennsylvania	7,575	27.00 %	#82
80.	14225	42.928824, -78.752459	Buffalo, New York	35,893	26.75 %	#83
81.	14086	42.905511, -78.629121	Lancaster, New York	28,516	26.61 %	#84
82.	54895	45.449439, -91.460777	Weyerhaeuser, Wisconsin	1,076	26.58 %	#85
83.	18705	41.272427, -75.841557	Wilkes Barre, Pennsylvania	15,485	26.53 %	#86
84.	56340	45.759467, -94.429019	Holdingford, Minnesota	2,287	26.28 %	#87
85.	18651	41.254109, -75.959745	Plymouth, Pennsylvania	9,704	26.26 %	#88
86.	08821	40.520946, -74.681625	Flagtown, New Jersey	307	26.25 %	#89
87.	48467	44.004543, -82.993538	Port Austin, Michigan	2,652	26.01 %	#90
88.	15611	40.307829, -79.657289	Adamsburg, Pennsylvania	287	26.00 %	#91
89.	14026	42.942011, -78.689442	Bowmansville, New York	722	25.72 %	#92
90.	23130	37.401504, -76.282730	Onemo, Virginia	126	25.56 %	#93
91.	56142	44.480505, -96.227708	Ivanhoe, Minnesota	1,171	25.48 %	#94
92.	43928	40.009876, -80.894430	Glencoe, Ohio	100	25.47 %	#95
93.	60459	41.745449, -87.769853	Burbank, Illinois	27,978	25.41 %	#96
94.	15624	40.364679, -79.467964	Crabtree, Pennsylvania	452	25.28 %	#97
95.	01035	42.356482, -72.568576	Hadley, Massachusetts	4,793	25.22 %	#98
96.	14218	42.817887, -78.824667	Buffalo, New York	20,203	24.97 %	#99
97.	54443	44.608922, -89.751725	Junction City, Wisconsin	2,288	24.93 %	#100
98.	55725	48.320711, -92.660559	Crane Lake, Minnesota	111	24.64 %	#101
99.	56373	45.859740, -94.230562	Royalton, Minnesota	2,546	24.62 %	#102
100.	01092	42.205423, -72.238171	West Warren, Massachusetts	1,087	24.60 %	#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