Zip Codes with the Highest Percentage of Population Driving to Work in Wisconsin

Wisconsin Report:

Percentage of Population Driving to Work

Percentage of Population Driving to Work in the United States by Zip Code

Percentage of Population Driving to Work in the United States by City

#	Zip Code	Location	City	Population	% Drive to Work	National Rank
1.	53167	42.742194, -88.222189	Rochester, Wisconsin	87	100.00 %	#186
2.	54215	44.224313, -87.800121	Kellnersville, Wisconsin	33	100.00 %	#196
3.	54841	45.616237, -91.777697	Haugen, Wisconsin	25	100.00 %	#197
4.	54934	44.004458, -88.841031	Eureka, Wisconsin	129	100.00 %	#198
5.	54857	45.595971, -91.597710	Mikana, Wisconsin	119	95.83 %	#476
6.	53016	43.312453, -88.719045	Clyman, Wisconsin	131	91.66 %	#741
7.	53571	43.278829, -89.359491	Morrisonville, Wisconsin	154	91.33 %	#790
8.	54160	44.119267, -88.097853	Potter, Wisconsin	67	91.30 %	#793
9.	54645	43.315274, -90.928729	Mount Sterling, Wisconsin	70	90.90 %	#863
10.	53045	43.066104, -88.153259	Brookfield, Wisconsin	21,598	90.83 %	#885
11.	53097	43.242048, -88.009823	Mequon, Wisconsin	4,752	90.72 %	#921
12.	54430	45.147659, -88.873132	Elton, Wisconsin	117	90.56 %	#969
13.	54313	44.586363, -88.115165	Green Bay, Wisconsin	31,412	90.47 %	#994
14.	54976	44.175716, -89.111570	Saxeville, Wisconsin	35	90.00 %	#1,105
15.	54904	44.023400, -88.623839	Oshkosh, Wisconsin	17,963	89.47 %	#1,292
16.	53150	42.871352, -88.134318	Muskego, Wisconsin	21,631	89.44 %	#1,303
17.	53151	42.970273, -88.100563	New Berlin, Wisconsin	30,903	89.38 %	#1,324
18.	53153	42.933688, -88.404698	North Prairie, Wisconsin	1,966	89.18 %	#1,408
19.	53017	43.201013, -88.251366	Colgate, Wisconsin	4,886	89.17 %	#1,414
20.	53103	42.881555, -88.212849	Big Bend, Wisconsin	3,941	89.12 %	#1,437
21.	54173	44.645462, -88.012234	Suamico, Wisconsin	3,379	89.09 %	#1,450
22.	54942	44.294065, -88.547514	Greenville, Wisconsin	4,774	88.90 %	#1,536
23.	54214	44.200385, -87.720211	Francis Creek, Wisconsin	136	88.88 %	#1,546
24.	54845	45.803239, -92.143962	Hertel, Wisconsin	131	88.63 %	#1,671
25.	54136	44.267393, -88.338600	Kimberly, Wisconsin	5,908	88.55 %	#1,718
26.	53558	43.005425, -89.293616	Mc Farland, Wisconsin	9,025	88.47 %	#1,769
27.	53183	43.003522, -88.387794	Wales, Wisconsin	2,917	88.42 %	#1,801
28.	53089	43.144615, -88.233772	Sussex, Wisconsin	15,922	88.38 %	#1,825
29.	53072	43.081609, -88.270816	Pewaukee, Wisconsin	20,751	88.34 %	#1,842
30.	54525	46.426845, -90.219164	Gile, Wisconsin	249	88.34 %	#1,848
31.	54915	44.241923, -88.350456	Appleton, Wisconsin	37,696	88.23 %	#1,918
32.	53076	43.270453, -88.215004	Richfield, Wisconsin	3,054	88.11 %	#2,009
33.	53051	43.142845, -88.119517	Menomonee Falls, Wisconsin	32,399	88.08 %	#2,029
34.	53598	43.210519, -89.338286	Windsor, Wisconsin	2,090	88.07 %	#2,038
35.	53189	42.959035, -88.280264	Waukesha, Wisconsin	21,328	87.97 %	#2,092
36.	53132	42.883878, -88.011546	Franklin, Wisconsin	29,369	87.93 %	#2,119
37.	54913	44.335996, -88.399970	Appleton, Wisconsin	9,800	87.92 %	#2,127
38.	53228	42.969046, -88.043224	Milwaukee, Wisconsin	14,172	87.78 %	#2,223
39.	53022	43.232227, -88.115855	Germantown, Wisconsin	17,507	87.70 %	#2,279
40.	54650	43.918136, -91.233333	Onalaska, Wisconsin	20,384	87.69 %	#2,286
41.	54471	44.930719, -89.424316	Ringle, Wisconsin	1,621	87.64 %	#2,315
42.	53185	42.785829, -88.194357	Waterford, Wisconsin	16,987	87.61 %	#2,339
43.	53154	42.880448, -87.901787	Oak Creek, Wisconsin	28,659	87.60 %	#2,348
44.	53005	43.062401, -88.098804	Brookfield, Wisconsin	20,231	87.54 %	#2,390
45.	53179	42.513801, -88.130588	Trevor, Wisconsin	5,011	87.53 %	#2,394
46.	54474	44.883364, -89.617543	Rothschild, Wisconsin	3,728	87.51 %	#2,407
47.	53146	42.973705, -88.155385	New Berlin, Wisconsin	7,355	87.51 %	#2,410
48.	54980	43.984821, -88.783897	Waukau, Wisconsin	178	87.50 %	#2,429
49.	54169	44.176144, -88.273970	Sherwood, Wisconsin	1,605	87.30 %	#2,574
50.	53177	42.704212, -87.932874	Sturtevant, Wisconsin	7,208	87.19 %	#2,651
51.	53037	43.316952, -88.159760	Jackson, Wisconsin	6,955	87.19 %	#2,654
52.	54956	44.182337, -88.527574	Neenah, Wisconsin	37,675	87.16 %	#2,680
53.	53118	42.962493, -88.491540	Dousman, Wisconsin	6,762	87.10 %	#2,723
54.	53029	43.146603, -88.340998	Hartland, Wisconsin	17,837	87.07 %	#2,746
55.	54180	44.323895, -88.160819	Wrightstown, Wisconsin	1,992	86.92 %	#2,869
56.	53059	43.288443, -88.525347	Neosho, Wisconsin	1,807	86.88 %	#2,892
57.	54140	44.287745, -88.309204	Little Chute, Wisconsin	8,530	86.83 %	#2,927
58.	53546	42.652244, -88.948166	Janesville, Wisconsin	27,790	86.82 %	#2,936
59.	53149	42.880384, -88.337794	Mukwonago, Wisconsin	16,715	86.78 %	#2,971
60.	53406	42.734537, -87.864892	Racine, Wisconsin	22,431	86.76 %	#2,981
61.	54304	44.494087, -88.069927	Green Bay, Wisconsin	30,169	86.74 %	#3,003
62.	54151	45.725441, -87.988217	Niagara, Wisconsin	4,041	86.67 %	#3,072
63.	53928	43.426783, -89.149606	Doylestown, Wisconsin	49	86.66 %	#3,081
64.	53092	43.230401, -87.950302	Thiensville, Wisconsin	20,765	86.66 %	#3,084
65.	53142	42.518443, -87.982634	Kenosha, Wisconsin	28,174	86.63 %	#3,113
66.	54914	44.261862, -88.493919	Appleton, Wisconsin	31,459	86.56 %	#3,174
67.	53126	42.789404, -88.005584	Franksville, Wisconsin	6,286	86.55 %	#3,189
68.	53158	42.524103, -87.884394	Pleasant Prairie, Wisconsin	11,339	86.51 %	#3,225
69.	54121	45.857098, -88.286970	Florence, Wisconsin	3,218	86.41 %	#3,327
70.	54937	43.766090, -88.517194	Fond Du Lac, Wisconsin	9,826	86.37 %	#3,361
71.	53188	43.019562, -88.294049	Waukesha, Wisconsin	33,729	86.33 %	#3,393
72.	53168	42.575462, -88.124436	Salem, Wisconsin	8,229	86.30 %	#3,410
73.	53139	42.685512, -88.120797	Kansasville, Wisconsin	2,774	86.30 %	#3,413
74.	53593	42.985198, -89.579337	Verona, Wisconsin	12,778	86.29 %	#3,417
75.	53090	43.462856, -88.188952	West Bend, Wisconsin	19,866	86.25 %	#3,454
76.	53129	42.936928, -87.999585	Greendale, Wisconsin	14,163	86.24 %	#3,461
77.	54636	44.012416, -91.241954	Holmen, Wisconsin	9,983	86.14 %	#3,550
78.	53033	43.234912, -88.238586	Hubertus, Wisconsin	5,302	86.14 %	#3,552
79.	54476	44.877649, -89.507720	Schofield, Wisconsin	14,957	86.09 %	#3,602
80.	53024	43.340207, -87.931502	Grafton, Wisconsin	14,507	86.07 %	#3,625
81.	54130	44.312592, -88.247703	Kaukauna, Wisconsin	21,527	86.07 %	#3,628
82.	54729	44.940284, -91.392808	Chippewa Falls, Wisconsin	27,881	86.00 %	#3,701
83.	53120	42.796428, -88.417330	East Troy, Wisconsin	8,808	85.93 %	#3,767
84.	54822	45.400937, -91.694413	Cameron, Wisconsin	3,903	85.90 %	#3,804
85.	53069	43.110890, -88.435005	Okauchee, Wisconsin	598	85.89 %	#3,810
86.	53402	42.791951, -87.825075	Racine, Wisconsin	33,114	85.89 %	#3,815
87.	53119	42.893005, -88.485525	Eagle, Wisconsin	5,125	85.83 %	#3,860
88.	54720	44.801571, -91.430482	Altoona, Wisconsin	7,181	85.81 %	#3,881
89.	53181	42.515513, -88.250403	Twin Lakes, Wisconsin	6,501	85.80 %	#3,889
90.	53182	42.702391, -88.041279	Union Grove, Wisconsin	8,453	85.80 %	#3,890
91.	53018	43.032849, -88.391525	Delafield, Wisconsin	7,857	85.78 %	#3,912
92.	54952	44.197312, -88.318512	Menasha, Wisconsin	22,927	85.77 %	#3,923
93.	53191	42.570489, -88.548353	Williams Bay, Wisconsin	2,235	85.70 %	#4,002
94.	53590	43.199765, -89.209548	Sun Prairie, Wisconsin	26,031	85.67 %	#4,034
95.	53718	43.090324, -89.275221	Madison, Wisconsin	3,457	85.64 %	#4,062
96.	53170	42.557433, -88.168445	Silver Lake, Wisconsin	2,054	85.55 %	#4,159
97.	54457	44.231530, -89.866807	Nekoosa, Wisconsin	8,677	85.51 %	#4,209
98.	53575	42.933063, -89.390551	Oregon, Wisconsin	13,702	85.50 %	#4,220
99.	54927	44.101637, -88.655117	Butte Des Morts, Wisconsin	378	85.49 %	#4,232
100.	54944	44.324687, -88.626957	Hortonville, Wisconsin	7,551	85.42 %	#4,336

1-100 out of 765 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