Zip Codes with the Highest Percentage of Hispanics in Wisconsin

Wisconsin Report:

Percentage of Hispanics

Percentage of Hispanics in the United States by Zip Code

Percentage of Hispanics in the United States by City

#	Zip Code	Location	City	Population	% Hispanics	National Rank
1.	53204	43.018044, -87.926201	Milwaukee, Wisconsin	42,382	64.81 %	#619
2.	53215	42.999261, -87.943078	Milwaukee, Wisconsin	54,950	38.35 %	#1,416
3.	53404	42.754054, -87.811291	Racine, Wisconsin	16,949	21.76 %	#2,564
4.	53403	42.675422, -87.806530	Racine, Wisconsin	27,545	15.38 %	#3,472
5.	53713	43.033062, -89.395283	Madison, Wisconsin	22,951	15.08 %	#3,542
6.	53115	42.656603, -88.668293	Delavan, Wisconsin	15,205	14.40 %	#3,674
7.	54302	44.506823, -87.973868	Green Bay, Wisconsin	30,295	14.25 %	#3,705
8.	54648	43.832220, -90.631371	Norwalk, Wisconsin	1,677	14.19 %	#3,721
9.	53195	42.513643, -88.484260	Zenda, Wisconsin	101	13.86 %	#3,789
10.	53140	42.619878, -87.830903	Kenosha, Wisconsin	28,628	12.62 %	#4,085
11.	54966	44.198448, -89.512831	Plainfield, Wisconsin	2,021	11.42 %	#4,381
12.	53114	42.609350, -88.746035	Darien, Wisconsin	2,509	10.96 %	#4,539
13.	53143	42.559472, -87.829891	Kenosha, Wisconsin	24,558	10.33 %	#4,769
14.	53212	43.076155, -87.908252	Milwaukee, Wisconsin	30,801	10.32 %	#4,775
15.	53207	42.973016, -87.902595	Milwaukee, Wisconsin	36,443	10.18 %	#4,821
16.	53147	42.596164, -88.421295	Lake Geneva, Wisconsin	14,854	9.78 %	#4,989
17.	53186	43.022155, -88.204676	Waukesha, Wisconsin	33,535	9.55 %	#5,068
18.	53016	43.312453, -88.719045	Clyman, Wisconsin	131	9.16 %	#5,230
19.	53144	42.615013, -87.922461	Kenosha, Wisconsin	23,326	8.59 %	#5,493
20.	53221	42.955266, -87.941421	Milwaukee, Wisconsin	35,422	8.04 %	#5,758
21.	53405	42.726918, -87.830175	Racine, Wisconsin	25,721	8.02 %	#5,766
22.	54422	44.994814, -90.447474	Curtiss, Wisconsin	1,184	8.02 %	#5,767
23.	53511	42.554101, -89.094465	Beloit, Wisconsin	47,513	7.34 %	#6,166
24.	53402	42.791951, -87.825075	Racine, Wisconsin	33,114	6.73 %	#6,532
25.	54921	44.307359, -89.560071	Bancroft, Wisconsin	1,372	6.41 %	#6,752
26.	53081	43.708288, -87.738348	Sheboygan, Wisconsin	43,928	6.38 %	#6,778
27.	53585	42.530749, -88.719449	Sharon, Wisconsin	2,107	6.31 %	#6,836
28.	54922	44.542539, -88.749292	Bear Creek, Wisconsin	1,515	6.27 %	#6,868
29.	53190	42.807771, -88.736201	Whitewater, Wisconsin	18,257	6.10 %	#6,994
30.	53951	43.387892, -89.876273	North Freedom, Wisconsin	2,347	5.92 %	#7,127
31.	53188	43.019562, -88.294049	Waukesha, Wisconsin	33,729	5.80 %	#7,195
32.	53156	42.892657, -88.608784	Palmyra, Wisconsin	2,951	5.72 %	#7,266
33.	53594	43.190229, -88.964085	Waterloo, Wisconsin	5,005	5.71 %	#7,269
34.	53208	43.047073, -87.967198	Milwaukee, Wisconsin	35,150	5.61 %	#7,368
35.	53549	42.972663, -88.787067	Jefferson, Wisconsin	10,045	5.27 %	#7,675
36.	54301	44.480778, -88.016063	Green Bay, Wisconsin	25,857	5.16 %	#7,766
37.	53233	43.036845, -87.933551	Milwaukee, Wisconsin	15,485	5.15 %	#7,774
38.	53184	42.520513, -88.613186	Walworth, Wisconsin	3,872	5.11 %	#7,809
39.	54240	44.326554, -87.622718	Tisch Mills, Wisconsin	20	5.00 %	#7,917
40.	53177	42.704212, -87.932874	Sturtevant, Wisconsin	7,208	4.99 %	#7,927
41.	53142	42.518443, -87.982634	Kenosha, Wisconsin	28,174	4.93 %	#7,990
42.	53094	43.144111, -88.732086	Watertown, Wisconsin	16,984	4.86 %	#8,077
43.	54754	44.440347, -90.793689	Merrillan, Wisconsin	1,439	4.86 %	#8,078
44.	53214	43.020327, -88.012870	Milwaukee, Wisconsin	35,584	4.83 %	#8,114
45.	53220	42.965054, -87.991144	Milwaukee, Wisconsin	25,276	4.75 %	#8,204
46.	53110	42.946467, -87.862619	Cudahy, Wisconsin	18,484	4.71 %	#8,247
47.	53704	43.137011, -89.336611	Madison, Wisconsin	43,176	4.66 %	#8,300
48.	54982	44.069753, -89.292831	Wautoma, Wisconsin	6,974	4.66 %	#8,302
49.	53219	42.996549, -87.991860	Milwaukee, Wisconsin	33,714	4.64 %	#8,324
50.	53235	42.971324, -87.874390	Milwaukee, Wisconsin	8,825	4.60 %	#8,359
51.	54943	44.122562, -89.572665	Hancock, Wisconsin	1,807	4.59 %	#8,373
52.	54845	45.803239, -92.143962	Hertel, Wisconsin	131	4.58 %	#8,387
53.	53406	42.734537, -87.864892	Racine, Wisconsin	22,431	4.47 %	#8,509
54.	53154	42.880448, -87.901787	Oak Creek, Wisconsin	28,659	4.39 %	#8,614
55.	53121	42.717008, -88.535397	Elkhorn, Wisconsin	15,530	4.36 %	#8,641
56.	53719	43.040171, -89.510073	Madison, Wisconsin	18,162	4.32 %	#8,688
57.	53559	43.168658, -89.077092	Marshall, Wisconsin	5,503	4.30 %	#8,713
58.	53540	43.221828, -90.293606	Gotham, Wisconsin	142	4.22 %	#8,812
59.	53139	42.685512, -88.120797	Kansasville, Wisconsin	2,774	4.18 %	#8,866
60.	53172	42.908397, -87.861757	South Milwaukee, Wisconsin	20,939	4.08 %	#9,015
61.	53949	43.783181, -89.337398	Montello, Wisconsin	7,089	4.06 %	#9,031
62.	53205	43.053498, -87.933739	Milwaukee, Wisconsin	10,875	4.04 %	#9,058
63.	53189	42.959035, -88.280264	Waukesha, Wisconsin	21,328	4.01 %	#9,098
64.	53057	43.797353, -88.232911	Mount Calvary, Wisconsin	2,047	4.00 %	#9,105
65.	53916	43.422066, -88.912146	Beaver Dam, Wisconsin	20,943	3.90 %	#9,263
66.	54914	44.261862, -88.493919	Appleton, Wisconsin	31,459	3.90 %	#9,268
67.	54909	44.280703, -89.367441	Almond, Wisconsin	2,140	3.83 %	#9,378
68.	53224	43.163330, -88.039699	Milwaukee, Wisconsin	19,523	3.83 %	#9,379
69.	53717	43.068664, -89.513863	Madison, Wisconsin	10,772	3.74 %	#9,514
70.	53711	43.045852, -89.461683	Madison, Wisconsin	42,476	3.70 %	#9,585
71.	54611	44.456128, -90.951538	Alma Center, Wisconsin	1,165	3.69 %	#9,610
72.	54303	44.543344, -88.047175	Green Bay, Wisconsin	27,638	3.62 %	#9,714
73.	53703	43.079575, -89.378389	Madison, Wisconsin	26,715	3.57 %	#9,807
74.	53202	43.046669, -87.896808	Milwaukee, Wisconsin	20,967	3.44 %	#10,036
75.	53158	42.524103, -87.884394	Pleasant Prairie, Wisconsin	11,339	3.43 %	#10,070
76.	53923	43.574139, -89.138363	Cambria, Wisconsin	2,215	3.43 %	#10,071
77.	54135	44.927379, -88.607936	Keshena, Wisconsin	3,529	3.42 %	#10,094
78.	53714	43.100348, -89.311966	Madison, Wisconsin	16,424	3.41 %	#10,105
79.	53715	43.055610, -89.387808	Madison, Wisconsin	10,426	3.40 %	#10,124
80.	54923	43.997757, -88.966832	Berlin, Wisconsin	8,568	3.39 %	#10,140
81.	53933	43.575978, -88.892080	Fox Lake, Wisconsin	4,015	3.36 %	#10,185
82.	54930	44.032622, -89.555283	Coloma, Wisconsin	1,702	3.34 %	#10,214
83.	53170	42.557433, -88.168445	Silver Lake, Wisconsin	2,054	3.31 %	#10,267
84.	54170	44.536158, -88.577197	Shiocton, Wisconsin	3,773	3.31 %	#10,268
85.	53538	42.924450, -88.862787	Fort Atkinson, Wisconsin	17,352	3.31 %	#10,269
86.	54861	46.598499, -90.649659	Odanah, Wisconsin	376	3.19 %	#10,482
87.	53227	42.994804, -88.043128	Milwaukee, Wisconsin	23,949	3.18 %	#10,502
88.	53191	42.570489, -88.548353	Williams Bay, Wisconsin	2,235	3.17 %	#10,520
89.	53225	43.114279, -88.042959	Milwaukee, Wisconsin	25,991	3.15 %	#10,567
90.	53168	42.575462, -88.124436	Salem, Wisconsin	8,229	3.07 %	#10,720
91.	53218	43.114511, -87.991962	Milwaukee, Wisconsin	40,513	3.07 %	#10,721
92.	54442	45.358854, -89.658980	Irma, Wisconsin	1,242	3.05 %	#10,766
93.	53705	43.074014, -89.460509	Madison, Wisconsin	30,225	3.04 %	#10,792
94.	54670	43.844892, -90.479553	Wilton, Wisconsin	1,746	3.03 %	#10,814
95.	53525	42.546920, -88.847431	Clinton, Wisconsin	3,938	3.02 %	#10,843
96.	53004	43.506891, -87.870755	Belgium, Wisconsin	2,785	3.01 %	#10,858
97.	53210	43.068910, -87.973688	Milwaukee, Wisconsin	30,509	2.94 %	#11,017
98.	54952	44.197312, -88.318512	Menasha, Wisconsin	22,927	2.94 %	#11,019
99.	53228	42.969046, -88.043224	Milwaukee, Wisconsin	14,172	2.92 %	#11,067
100.	54985	44.075233, -88.518365	Winnebago, Wisconsin	518	2.89 %	#11,119

1-100 out of 767 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