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

Minnesota 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.	56629	48.540188, -94.186705	Birchdale, Minnesota	26	100.00 %	#217
2.	55950	43.732509, -92.963421	Lansing, Minnesota	152	98.21 %	#443
3.	56020	43.607381, -93.538328	Conger, Minnesota	124	94.52 %	#527
4.	55606	47.920026, -89.987848	Hovland, Minnesota	272	91.40 %	#779
5.	55150	44.885619, -93.169985	Mendota, Minnesota	152	91.37 %	#782
6.	56089	43.563886, -93.438467	Twin Lakes, Minnesota	225	91.12 %	#831
7.	55775	47.307666, -93.206496	Pengilly, Minnesota	1,351	90.51 %	#984
8.	56140	43.898613, -96.352976	Ihlen, Minnesota	131	90.41 %	#1,004
9.	56251	45.143769, -94.920255	Kandiyohi, Minnesota	895	88.77 %	#1,601
10.	56377	45.646154, -94.247791	Sartell, Minnesota	12,656	88.74 %	#1,612
11.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	87.84 %	#2,178
12.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	87.55 %	#2,379
13.	55722	47.285274, -93.435998	Coleraine, Minnesota	982	87.32 %	#2,563
14.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	87.31 %	#2,570
15.	55742	47.162343, -93.127887	Goodland, Minnesota	483	87.01 %	#2,790
16.	56425	46.337391, -94.282845	Baxter, Minnesota	5,520	86.70 %	#3,043
17.	56356	45.628804, -94.753835	New Munich, Minnesota	146	86.66 %	#3,086
18.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	86.57 %	#3,167
19.	55779	46.908849, -92.448827	Saginaw, Minnesota	3,490	86.47 %	#3,265
20.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	86.42 %	#3,316
21.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	86.25 %	#3,450
22.	55796	47.944356, -91.786905	Winton, Minnesota	157	86.20 %	#3,498
23.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	86.15 %	#3,541
24.	56016	43.769378, -93.350120	Clarks Grove, Minnesota	1,126	86.10 %	#3,595
25.	55128	44.987546, -92.963553	Saint Paul, Minnesota	27,309	86.09 %	#3,609
26.	55718	46.620931, -92.486403	Carlton, Minnesota	2,772	86.07 %	#3,624
27.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	85.98 %	#3,727
28.	55733	46.707705, -92.361663	Esko, Minnesota	4,106	85.90 %	#3,800
29.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	85.87 %	#3,829
30.	56003	44.209337, -94.092010	Mankato, Minnesota	12,769	85.80 %	#3,897
31.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	85.79 %	#3,902
32.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	85.78 %	#3,907
33.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	85.44 %	#4,307
34.	56529	46.884835, -96.686458	Dilworth, Minnesota	3,034	85.42 %	#4,333
35.	55959	44.080236, -91.738376	Minnesota City, Minnesota	2,191	85.41 %	#4,350
36.	56680	47.659089, -93.957158	Spring Lake, Minnesota	80	85.36 %	#4,415
37.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	85.32 %	#4,489
38.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	85.29 %	#4,537
39.	56319	45.998449, -95.252789	Carlos, Minnesota	1,113	85.14 %	#4,726
40.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	84.96 %	#4,952
41.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	84.91 %	#5,030
42.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	84.91 %	#5,031
43.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	84.91 %	#5,032
44.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	84.89 %	#5,064
45.	56287	44.462238, -95.318386	Seaforth, Minnesota	94	84.84 %	#5,130
46.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	84.81 %	#5,175
47.	55446	45.046438, -93.485395	Minneapolis, Minnesota	12,464	84.80 %	#5,187
48.	55706	47.693090, -91.971699	Babbitt, Minnesota	2,050	84.77 %	#5,241
49.	55038	45.165641, -92.971909	Hugo, Minnesota	10,687	84.62 %	#5,423
50.	55721	47.220628, -93.686796	Cohasset, Minnesota	2,867	84.61 %	#5,441
51.	56119	43.706631, -95.483048	Brewster, Minnesota	1,151	84.61 %	#5,448
52.	56565	46.042983, -96.304650	Nashua, Minnesota	138	84.61 %	#5,449
53.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	84.53 %	#5,558
54.	55092	45.349572, -93.069716	Wyoming, Minnesota	9,239	84.48 %	#5,628
55.	56177	43.874131, -96.252497	Trosky, Minnesota	123	84.48 %	#5,630
56.	55741	47.463124, -92.376242	Gilbert, Minnesota	3,190	84.47 %	#5,637
57.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	84.43 %	#5,698
58.	55009	44.487292, -92.862697	Cannon Falls, Minnesota	7,832	84.31 %	#5,855
59.	55793	47.115899, -93.286131	Warba, Minnesota	646	84.28 %	#5,887
60.	55082	45.069391, -92.833860	Stillwater, Minnesota	30,311	84.27 %	#5,906
61.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	84.25 %	#5,949
62.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	84.23 %	#5,984
63.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	84.22 %	#6,000
64.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	84.22 %	#6,002
65.	56456	46.663517, -94.324435	Jenkins, Minnesota	223	84.21 %	#6,016
66.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	84.17 %	#6,071
67.	55734	47.364577, -92.463633	Eveleth, Minnesota	6,640	84.13 %	#6,137
68.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	84.03 %	#6,264
69.	55988	44.025550, -91.774965	Stockton, Minnesota	226	84.00 %	#6,306
70.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	83.96 %	#6,363
71.	55014	45.161745, -93.127980	Circle Pines, Minnesota	26,384	83.95 %	#6,371
72.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	83.95 %	#6,372
73.	55070	45.409935, -93.376536	Saint Francis, Minnesota	5,575	83.88 %	#6,476
74.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	83.85 %	#6,512
75.	56722	47.985955, -96.640398	Euclid, Minnesota	411	83.82 %	#6,555
76.	55768	47.518899, -92.679712	Mountain Iron, Minnesota	2,768	83.77 %	#6,635
77.	55013	45.356996, -92.896587	Chisago City, Minnesota	5,000	83.76 %	#6,653
78.	55763	47.327944, -92.205981	Makinen, Minnesota	591	83.68 %	#6,756
79.	55448	45.193911, -93.299952	Minneapolis, Minnesota	26,551	83.68 %	#6,757
80.	55710	47.649681, -92.697535	Britt, Minnesota	1,498	83.65 %	#6,797
81.	55318	44.810762, -93.636185	Chaska, Minnesota	19,232	83.62 %	#6,842
82.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	83.60 %	#6,879
83.	55375	44.908752, -93.752716	Saint Bonifacius, Minnesota	1,907	83.58 %	#6,906
84.	55056	45.509408, -92.961454	North Branch, Minnesota	10,835	83.54 %	#6,968
85.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	83.50 %	#7,027
86.	55738	47.264329, -92.660294	Forbes, Minnesota	631	83.49 %	#7,041
87.	55025	45.256176, -93.029098	Forest Lake, Minnesota	19,659	83.47 %	#7,068
88.	55319	45.467449, -93.928342	Clear Lake, Minnesota	4,369	83.47 %	#7,075
89.	55362	45.292082, -93.838711	Monticello, Minnesota	13,833	83.42 %	#7,147
90.	56043	43.649401, -93.222394	Hayward, Minnesota	479	83.39 %	#7,193
91.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	83.38 %	#7,204
92.	55110	45.098195, -93.005239	Saint Paul, Minnesota	39,703	83.36 %	#7,227
93.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	83.35 %	#7,246
94.	55379	44.743507, -93.526107	Shakopee, Minnesota	23,250	83.31 %	#7,316
95.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	83.30 %	#7,332
96.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	83.27 %	#7,380
97.	55947	43.822952, -91.365543	La Crescent, Minnesota	7,338	83.23 %	#7,435
98.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	83.22 %	#7,455
99.	56369	45.468603, -94.335020	Rockville, Minnesota	416	83.19 %	#7,515
100.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	83.13 %	#7,601

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