Zip Codes with the Highest Percentage of Filipinos in Minnesota

Minnesota Report:

Percentage of Filipinos

Percentage of Filipinos in the United States by Zip Code

Percentage of Filipinos in the United States by City

#	Zip Code	Location	City	Population	% Filipinos	National Rank
1.	56208	45.246719, -96.004770	Appleton, Minnesota	3,700	2.56 %	#499
2.	56177	43.874131, -96.252497	Trosky, Minnesota	123	2.43 %	#542
3.	56249	45.318795, -95.904576	Holloway, Minnesota	379	1.31 %	#1,108
4.	56295	45.035813, -95.826677	Watson, Minnesota	289	1.03 %	#1,407
5.	56688	47.805467, -93.839563	Wirt, Minnesota	98	1.02 %	#1,416
6.	56216	44.942507, -95.059378	Blomkest, Minnesota	827	0.72 %	#1,950
7.	56328	45.955721, -94.514478	Flensburg, Minnesota	143	0.69 %	#2,025
8.	56659	47.657721, -94.063841	Max, Minnesota	155	0.64 %	#2,165
9.	55121	44.845104, -93.144259	Saint Paul, Minnesota	7,714	0.64 %	#2,166
10.	56230	44.796548, -95.087438	Danube, Minnesota	982	0.61 %	#2,252
11.	55107	44.930730, -93.080271	Saint Paul, Minnesota	16,032	0.56 %	#2,440
12.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	0.54 %	#2,515
13.	55753	47.398412, -93.075789	Keewatin, Minnesota	1,061	0.47 %	#2,842
14.	55114	44.966690, -93.195072	Saint Paul, Minnesota	1,309	0.45 %	#2,965
15.	55118	44.894315, -93.100947	Saint Paul, Minnesota	27,270	0.42 %	#3,127
16.	55933	43.643388, -92.682502	Elkton, Minnesota	251	0.39 %	#3,351
17.	55771	48.116822, -92.904103	Orr, Minnesota	1,755	0.39 %	#3,352
18.	55421	45.050555, -93.249955	Minneapolis, Minnesota	25,622	0.38 %	#3,440
19.	56021	44.278448, -94.312711	Courtland, Minnesota	1,056	0.37 %	#3,506
20.	55982	43.817856, -92.888682	Waltham, Minnesota	535	0.37 %	#3,507
21.	55419	44.902370, -93.287659	Minneapolis, Minnesota	17,197	0.36 %	#3,591
22.	56580	46.734263, -96.636178	Sabin, Minnesota	835	0.35 %	#3,665
23.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	0.35 %	#3,666
24.	55119	44.942599, -93.005601	Saint Paul, Minnesota	37,778	0.35 %	#3,667
25.	56759	48.550917, -96.037479	Strathcona, Minnesota	288	0.34 %	#3,774
26.	56735	48.931143, -96.554290	Lancaster, Minnesota	880	0.34 %	#3,775
27.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	0.34 %	#3,776
28.	55106	44.959966, -93.047108	Saint Paul, Minnesota	54,296	0.34 %	#3,777
29.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	0.34 %	#3,778
30.	56279	45.213912, -95.179039	Pennock, Minnesota	1,180	0.33 %	#3,878
31.	56458	47.204662, -94.991786	Lake George, Minnesota	303	0.33 %	#3,879
32.	55414	44.978043, -93.223019	Minneapolis, Minnesota	24,126	0.32 %	#4,000
33.	55425	44.851564, -93.225631	Minneapolis, Minnesota	9,027	0.32 %	#4,001
34.	55902	43.973871, -92.535531	Rochester, Minnesota	18,592	0.31 %	#4,077
35.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	0.31 %	#4,078
36.	55088	44.523586, -93.383455	Webster, Minnesota	1,569	0.31 %	#4,079
37.	56219	45.607652, -96.818280	Browns Valley, Minnesota	1,331	0.30 %	#4,114
38.	55101	44.966917, -93.084634	Saint Paul, Minnesota	21,969	0.30 %	#4,115
39.	56686	48.784049, -94.911697	Williams, Minnesota	1,016	0.29 %	#4,334
40.	56097	43.721047, -93.723161	Wells, Minnesota	4,350	0.29 %	#4,335
41.	56228	44.951236, -94.685179	Cosmos, Minnesota	1,048	0.28 %	#4,360
42.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	0.28 %	#4,361
43.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	0.28 %	#4,362
44.	56534	46.471572, -96.011397	Erhard, Minnesota	1,108	0.27 %	#4,598
45.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	0.27 %	#4,599
46.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	0.27 %	#4,600
47.	55413	44.999734, -93.238000	Minneapolis, Minnesota	12,082	0.27 %	#4,601
48.	55431	44.825914, -93.310998	Minneapolis, Minnesota	18,542	0.27 %	#4,602
49.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	0.27 %	#4,603
50.	55084	45.462591, -92.716225	Taylors Falls, Minnesota	1,431	0.27 %	#4,604
51.	56358	45.855393, -93.465499	Ogilvie, Minnesota	3,013	0.26 %	#4,647
52.	56590	46.028103, -96.152761	Wendell, Minnesota	373	0.26 %	#4,648
53.	55423	44.877193, -93.281359	Minneapolis, Minnesota	34,594	0.26 %	#4,649
54.	55716	47.321452, -93.267196	Calumet, Minnesota	383	0.26 %	#4,650
55.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	0.26 %	#4,651
56.	55752	46.968400, -93.209340	Jacobson, Minnesota	390	0.25 %	#4,813
57.	56033	43.578874, -93.939249	Frost, Minnesota	389	0.25 %	#4,814
58.	56169	44.338334, -96.006510	Russell, Minnesota	777	0.25 %	#4,815
59.	56141	43.877080, -95.804580	Iona, Minnesota	400	0.25 %	#4,816
60.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	0.25 %	#4,817
61.	56521	47.011364, -95.871696	Callaway, Minnesota	818	0.24 %	#4,980
62.	56044	44.564804, -93.956605	Henderson, Minnesota	2,037	0.24 %	#4,981
63.	55901	44.071655, -92.507712	Rochester, Minnesota	42,221	0.24 %	#4,982
64.	55427	45.004595, -93.381351	Minneapolis, Minnesota	23,441	0.24 %	#4,983
65.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	0.24 %	#4,984
66.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	0.24 %	#4,985
67.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	0.24 %	#4,986
68.	56446	46.128838, -95.097490	Eagle Bend, Minnesota	1,677	0.23 %	#5,165
69.	55418	45.021310, -93.244136	Minneapolis, Minnesota	30,795	0.23 %	#5,166
70.	55432	45.096587, -93.254518	Minneapolis, Minnesota	30,576	0.23 %	#5,167
71.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	0.23 %	#5,168
72.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	0.23 %	#5,169
73.	56736	47.739696, -96.175696	Mentor, Minnesota	875	0.22 %	#5,419
74.	56248	45.786154, -96.135813	Herman, Minnesota	902	0.22 %	#5,422
75.	56137	43.839616, -95.345120	Heron Lake, Minnesota	1,319	0.22 %	#5,423
76.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	0.22 %	#5,424
77.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	0.22 %	#5,425
78.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	0.22 %	#5,426
79.	55018	44.414410, -92.995374	Dennison, Minnesota	909	0.22 %	#5,427
80.	56466	46.388684, -94.635389	Motley, Minnesota	2,762	0.21 %	#5,614
81.	56360	45.895197, -95.116621	Osakis, Minnesota	3,806	0.21 %	#5,615
82.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	0.21 %	#5,617
83.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	0.21 %	#5,618
84.	56011	44.596318, -93.779250	Belle Plaine, Minnesota	6,028	0.21 %	#5,619
85.	56025	43.764325, -93.919728	Easton, Minnesota	474	0.21 %	#5,620
86.	56175	44.260146, -95.638718	Tracy, Minnesota	3,232	0.21 %	#5,621
87.	55024	44.628546, -93.138429	Farmington, Minnesota	21,125	0.21 %	#5,622
88.	55337	44.778472, -93.272269	Burnsville, Minnesota	45,174	0.21 %	#5,623
89.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	0.21 %	#5,624
90.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	0.20 %	#5,888
91.	55604	47.957281, -90.615999	Grand Marais, Minnesota	3,384	0.20 %	#5,889
92.	56118	43.936029, -95.029368	Bingham Lake, Minnesota	481	0.20 %	#5,890
93.	55420	44.835969, -93.277176	Minneapolis, Minnesota	21,315	0.20 %	#5,891
94.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	0.20 %	#5,892
95.	55904	43.962190, -92.399553	Rochester, Minnesota	24,407	0.20 %	#5,893
96.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	0.20 %	#5,894
97.	55108	44.980341, -93.174961	Saint Paul, Minnesota	15,914	0.20 %	#5,896
98.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	0.20 %	#5,897
99.	56447	46.747619, -93.910176	Emily, Minnesota	1,026	0.19 %	#6,146
100.	55428	45.064039, -93.383509	Minneapolis, Minnesota	29,933	0.19 %	#6,147

1-100 out of 862 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