Zip Codes with the Highest Percentage of Population in Military in Wisconsin

Wisconsin Report:

Percentage of Population in Military

Percentage of Population in Military in the United States by Zip Code

Percentage of Population in Military in the United States by City

#	Zip Code	Location	City	Population	% In Military	National Rank
1.	54857	45.595971, -91.597710	Mikana, Wisconsin	119	2.22 %	#672
2.	54656	44.002819, -90.780675	Sparta, Wisconsin	15,685	1.60 %	#904
3.	53203	43.038491, -87.916365	Milwaukee, Wisconsin	335	1.42 %	#1,008
4.	54660	43.979087, -90.492833	Tomah, Wisconsin	14,203	1.40 %	#1,017
5.	54447	45.106647, -90.722090	Lublin, Wisconsin	555	1.17 %	#1,174
6.	54618	43.963629, -90.285854	Camp Douglas, Wisconsin	2,221	0.83 %	#1,533
7.	53920	43.668314, -89.600099	Briggsville, Wisconsin	485	0.81 %	#1,568
8.	53529	43.239372, -89.525031	Dane, Wisconsin	1,765	0.71 %	#1,730
9.	53158	42.524103, -87.884394	Pleasant Prairie, Wisconsin	11,339	0.69 %	#1,777
10.	54836	46.411036, -92.189046	Foxboro, Wisconsin	1,032	0.69 %	#1,778
11.	54746	44.553241, -90.880056	Humbird, Wisconsin	685	0.59 %	#1,987
12.	53950	43.901142, -90.137808	New Lisbon, Wisconsin	4,246	0.55 %	#2,126
13.	53541	42.566383, -90.033168	Gratiot, Wisconsin	1,011	0.51 %	#2,272
14.	54666	44.170076, -90.449672	Warrens, Wisconsin	2,489	0.50 %	#2,310
15.	54864	46.602234, -91.801441	Poplar, Wisconsin	1,367	0.49 %	#2,359
16.	53532	43.245457, -89.311566	De Forest, Wisconsin	11,448	0.47 %	#2,437
17.	54849	46.459825, -91.686067	Lake Nebagamon, Wisconsin	1,869	0.45 %	#2,524
18.	54854	46.649916, -91.666522	Maple, Wisconsin	891	0.42 %	#2,644
19.	54537	45.533500, -90.615227	Kennan, Wisconsin	627	0.41 %	#2,704
20.	53929	43.751417, -90.283608	Elroy, Wisconsin	2,883	0.40 %	#2,763
21.	53140	42.619878, -87.830903	Kenosha, Wisconsin	28,628	0.39 %	#2,818
22.	54772	45.086703, -91.884639	Wheeler, Wisconsin	1,013	0.39 %	#2,821
23.	54855	46.397429, -90.779790	Marengo, Wisconsin	711	0.38 %	#2,892
24.	53955	43.404661, -89.384335	Poynette, Wisconsin	5,472	0.37 %	#2,966
25.	53086	43.326102, -88.268233	Slinger, Wisconsin	7,334	0.36 %	#3,021
26.	54874	46.569299, -91.936098	South Range, Wisconsin	3,299	0.35 %	#3,105
27.	53922	43.527980, -88.701058	Burnett, Wisconsin	1,128	0.35 %	#3,106
28.	54856	46.432392, -91.109905	Mason, Wisconsin	1,464	0.34 %	#3,173
29.	54143	45.091818, -87.698957	Marinette, Wisconsin	16,005	0.31 %	#3,425
30.	53930	43.691693, -89.486834	Endeavor, Wisconsin	1,282	0.31 %	#3,426
31.	53154	42.880448, -87.901787	Oak Creek, Wisconsin	28,659	0.29 %	#3,603
32.	53142	42.518443, -87.982634	Kenosha, Wisconsin	28,174	0.28 %	#3,609
33.	53191	42.570489, -88.548353	Williams Bay, Wisconsin	2,235	0.28 %	#3,612
34.	53523	42.986257, -89.035238	Cambridge, Wisconsin	4,728	0.27 %	#3,796
35.	54665	43.531971, -90.928690	Viroqua, Wisconsin	8,105	0.27 %	#3,797
36.	53128	42.526865, -88.336227	Genoa City, Wisconsin	6,740	0.26 %	#3,821
37.	53714	43.100348, -89.311966	Madison, Wisconsin	16,424	0.26 %	#3,825
38.	54621	43.652160, -91.067751	Chaseburg, Wisconsin	971	0.26 %	#3,826
39.	54534	46.360808, -90.228213	Hurley, Wisconsin	2,912	0.25 %	#3,927
40.	53139	42.685512, -88.120797	Kansasville, Wisconsin	2,774	0.24 %	#4,047
41.	53561	43.399407, -89.651691	Merrimac, Wisconsin	1,479	0.24 %	#4,052
42.	53923	43.574139, -89.138363	Cambria, Wisconsin	2,215	0.24 %	#4,054
43.	53037	43.316952, -88.159760	Jackson, Wisconsin	6,955	0.23 %	#4,206
44.	54738	44.587658, -91.490654	Eleva, Wisconsin	2,766	0.23 %	#4,211
45.	54739	44.859764, -91.701174	Elk Mound, Wisconsin	3,965	0.23 %	#4,212
46.	53590	43.199765, -89.209548	Sun Prairie, Wisconsin	26,031	0.23 %	#4,213
47.	54210	45.246457, -87.036178	Ellison Bay, Wisconsin	1,022	0.23 %	#4,214
48.	54562	45.815961, -89.104185	Three Lakes, Wisconsin	2,063	0.23 %	#4,215
49.	54136	44.267393, -88.338600	Kimberly, Wisconsin	5,908	0.22 %	#4,349
50.	54838	46.239802, -91.799906	Gordon, Wisconsin	1,135	0.22 %	#4,351
51.	54631	43.292817, -90.826692	Gays Mills, Wisconsin	1,783	0.22 %	#4,352
52.	54814	46.898756, -90.833727	Bayfield, Wisconsin	2,448	0.22 %	#4,354
53.	54642	44.152060, -91.045009	Melrose, Wisconsin	1,770	0.21 %	#4,474
54.	54644	44.030579, -91.009652	Mindoro, Wisconsin	1,257	0.21 %	#4,475
55.	53506	43.142330, -90.274134	Avoca, Wisconsin	1,195	0.21 %	#4,476
56.	54007	45.189887, -92.370065	Deer Park, Wisconsin	1,183	0.21 %	#4,477
57.	53811	42.533572, -90.499950	Hazel Green, Wisconsin	3,124	0.20 %	#4,688
58.	54923	43.997757, -88.966832	Berlin, Wisconsin	8,568	0.20 %	#4,689
59.	54459	45.430620, -90.312155	Ogema, Wisconsin	1,359	0.19 %	#4,846
60.	53572	42.961103, -89.733649	Mount Horeb, Wisconsin	8,475	0.19 %	#4,847
61.	53012	43.314732, -88.034639	Cedarburg, Wisconsin	17,708	0.18 %	#5,050
62.	53129	42.936928, -87.999585	Greendale, Wisconsin	14,163	0.18 %	#5,051
63.	53555	43.320142, -89.555808	Lodi, Wisconsin	7,931	0.18 %	#5,052
64.	54119	45.613320, -88.196502	Dunbar, Wisconsin	1,309	0.18 %	#5,053
65.	53716	43.065163, -89.313783	Madison, Wisconsin	19,230	0.18 %	#5,054
66.	54615	44.264629, -90.822507	Black River Falls, Wisconsin	10,271	0.18 %	#5,055
67.	54457	44.231530, -89.866807	Nekoosa, Wisconsin	8,677	0.17 %	#5,258
68.	54437	44.777208, -90.629136	Greenwood, Wisconsin	3,159	0.17 %	#5,260
69.	54880	46.574179, -92.128476	Superior, Wisconsin	30,770	0.17 %	#5,261
70.	54670	43.844892, -90.479553	Wilton, Wisconsin	1,746	0.17 %	#5,262
71.	53143	42.559472, -87.829891	Kenosha, Wisconsin	24,558	0.17 %	#5,266
72.	54002	44.964435, -92.371387	Baldwin, Wisconsin	4,740	0.16 %	#5,391
73.	53948	43.768825, -90.050278	Mauston, Wisconsin	7,740	0.16 %	#5,396
74.	53597	43.185831, -89.457830	Waunakee, Wisconsin	13,162	0.16 %	#5,397
75.	54112	45.041909, -88.040930	Coleman, Wisconsin	2,423	0.16 %	#5,398
76.	54416	44.885102, -88.947960	Bowler, Wisconsin	1,623	0.16 %	#5,399
77.	53150	42.871352, -88.134318	Muskego, Wisconsin	21,631	0.15 %	#5,652
78.	53221	42.955266, -87.941421	Milwaukee, Wisconsin	35,422	0.15 %	#5,653
79.	53543	43.056151, -90.368421	Highland, Wisconsin	1,658	0.15 %	#5,654
80.	54635	44.403748, -91.039713	Hixton, Wisconsin	1,683	0.15 %	#5,655
81.	53703	43.079575, -89.378389	Madison, Wisconsin	26,715	0.15 %	#5,657
82.	54022	44.847472, -92.606877	River Falls, Wisconsin	19,288	0.15 %	#5,658
83.	53925	43.326711, -89.057123	Columbus, Wisconsin	7,487	0.15 %	#5,659
84.	54025	45.143853, -92.679923	Somerset, Wisconsin	4,588	0.15 %	#5,660
85.	53115	42.656603, -88.668293	Delavan, Wisconsin	15,205	0.14 %	#5,896
86.	53070	43.627010, -87.812937	Oostburg, Wisconsin	4,637	0.14 %	#5,899
87.	54629	44.173760, -91.639591	Fountain City, Wisconsin	2,579	0.14 %	#5,903
88.	54180	44.323895, -88.160819	Wrightstown, Wisconsin	1,992	0.14 %	#5,904
89.	53503	43.142976, -89.957507	Arena, Wisconsin	1,763	0.14 %	#5,905
90.	54011	44.718295, -92.464636	Ellsworth, Wisconsin	6,155	0.14 %	#5,906
91.	54021	44.734174, -92.706319	Prescott, Wisconsin	5,506	0.14 %	#5,907
92.	53516	42.795229, -89.853228	Blanchardville, Wisconsin	1,846	0.14 %	#5,908
93.	54767	44.823835, -92.267998	Spring Valley, Wisconsin	2,721	0.14 %	#5,909
94.	53013	43.566689, -87.857051	Cedar Grove, Wisconsin	3,056	0.13 %	#6,201
95.	53093	43.665596, -87.957508	Waldo, Wisconsin	1,934	0.13 %	#6,208
96.	53170	42.557433, -88.168445	Silver Lake, Wisconsin	2,054	0.13 %	#6,211
97.	53227	42.994804, -88.043128	Milwaukee, Wisconsin	23,949	0.13 %	#6,213
98.	53589	42.923455, -89.206438	Stoughton, Wisconsin	19,371	0.13 %	#6,214
99.	54425	45.006623, -90.351018	Dorchester, Wisconsin	1,955	0.13 %	#6,215
100.	54801	45.859509, -91.908931	Spooner, Wisconsin	6,610	0.13 %	#6,216

1-100 out of 766 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