Zip Codes with the Highest Percentage of Households with at least one Vehicle in Minnesota

Minnesota Report:

Percentage of Households with at least one Vehicle

Percentage of Households with at least one Vehicle in the United States by Zip Code

Percentage of Households with at least one Vehicle in the United States by City

#	Zip Code	Location	City	Population	% H/holds 1+ Car	National Rank
1.	56020	43.607381, -93.538328	Conger, Minnesota	124	100.00 %	#109
2.	56525	46.662700, -96.748351	Comstock, Minnesota	127	100.00 %	#112
3.	56056	44.072797, -94.569663	La Salle, Minnesota	116	100.00 %	#114
4.	56371	45.437846, -94.629864	Roscoe, Minnesota	108	100.00 %	#116
5.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	100.00 %	#214
6.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	100.00 %	#218
7.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	99.03 %	#506
8.	55065	44.550758, -93.024955	Randolph, Minnesota	980	98.80 %	#516
9.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	98.79 %	#518
10.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	98.43 %	#533
11.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	98.04 %	#563
12.	55085	44.673833, -92.967957	Vermillion, Minnesota	237	97.75 %	#589
13.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	97.57 %	#618
14.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	97.34 %	#649
15.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	97.26 %	#665
16.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	97.26 %	#667
17.	56425	46.337391, -94.282845	Baxter, Minnesota	5,520	97.21 %	#683
18.	55005	45.393799, -93.201592	Bethel, Minnesota	4,093	97.16 %	#696
19.	55031	44.604526, -92.978829	Hampton, Minnesota	1,797	97.13 %	#702
20.	55322	44.766102, -93.781817	Cologne, Minnesota	2,754	97.13 %	#703
21.	55053	44.338345, -93.055440	Nerstrand, Minnesota	710	97.08 %	#722
22.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	96.98 %	#745
23.	55088	44.523586, -93.383455	Webster, Minnesota	1,569	96.94 %	#758
24.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	96.90 %	#768
25.	55014	45.161745, -93.127980	Circle Pines, Minnesota	26,384	96.90 %	#772
26.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	96.89 %	#773
27.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	96.87 %	#776
28.	56375	45.703877, -94.282547	Saint Stephen, Minnesota	832	96.79 %	#807
29.	55315	44.705643, -93.662951	Carver, Minnesota	2,444	96.75 %	#822
30.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	96.69 %	#837
31.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	96.68 %	#840
32.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	96.51 %	#878
33.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	96.46 %	#904
34.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	96.44 %	#907
35.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	96.36 %	#934
36.	55038	45.165641, -92.971909	Hugo, Minnesota	10,687	96.34 %	#942
37.	55011	45.345744, -93.261937	Cedar, Minnesota	8,696	96.29 %	#959
38.	56374	45.605126, -94.333471	Saint Joseph, Minnesota	10,062	96.16 %	#1,002
39.	56687	47.501024, -94.994123	Wilton, Minnesota	127	96.15 %	#1,005
40.	55020	44.580205, -93.389154	Elko, Minnesota	2,326	96.13 %	#1,015
41.	56330	45.743310, -93.753465	Foreston, Minnesota	1,343	96.10 %	#1,031
42.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	96.02 %	#1,058
43.	55434	45.163716, -93.250487	Minneapolis, Minnesota	27,553	96.01 %	#1,060
44.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	95.99 %	#1,068
45.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	95.91 %	#1,104
46.	55375	44.908752, -93.752716	Saint Bonifacius, Minnesota	1,907	95.89 %	#1,119
47.	55448	45.193911, -93.299952	Minneapolis, Minnesota	26,551	95.88 %	#1,124
48.	56281	44.955853, -95.177294	Prinsburg, Minnesota	603	95.85 %	#1,140
49.	55024	44.628546, -93.138429	Farmington, Minnesota	21,125	95.81 %	#1,165
50.	56054	44.435016, -94.374481	Lafayette, Minnesota	1,011	95.76 %	#1,182
51.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	95.76 %	#1,184
52.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	95.75 %	#1,187
53.	56173	43.525151, -96.241181	Steen, Minnesota	429	95.73 %	#1,194
54.	55982	43.817856, -92.888682	Waltham, Minnesota	535	95.72 %	#1,199
55.	55446	45.046438, -93.485395	Minneapolis, Minnesota	12,464	95.69 %	#1,214
56.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	95.63 %	#1,250
57.	55733	46.707705, -92.361663	Esko, Minnesota	4,106	95.62 %	#1,260
58.	55071	44.811097, -92.994716	Saint Paul Park, Minnesota	5,185	95.60 %	#1,271
59.	55977	43.550036, -92.650161	Taopi, Minnesota	197	95.52 %	#1,319
60.	56024	44.144861, -93.856989	Eagle Lake, Minnesota	2,239	95.49 %	#1,333
61.	55049	44.176279, -93.230762	Medford, Minnesota	2,246	95.41 %	#1,392
62.	55920	44.013359, -92.623778	Byron, Minnesota	5,618	95.39 %	#1,408
63.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	95.38 %	#1,416
64.	55445	45.122441, -93.379184	Minneapolis, Minnesota	8,853	95.21 %	#1,516
65.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	95.14 %	#1,555
66.	55328	45.033414, -93.814206	Delano, Minnesota	7,332	95.05 %	#1,621
67.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	95.02 %	#1,642
68.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	94.99 %	#1,666
69.	56026	43.885775, -93.290995	Ellendale, Minnesota	1,932	94.94 %	#1,705
70.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	94.92 %	#1,719
71.	55973	43.804299, -92.777916	Sargeant, Minnesota	302	94.91 %	#1,725
72.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	94.90 %	#1,742
73.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	94.88 %	#1,755
74.	55397	44.826625, -93.909063	Young America, Minnesota	2,565	94.87 %	#1,769
75.	55079	45.404336, -93.026729	Stacy, Minnesota	7,064	94.86 %	#1,776
76.	55932	44.140847, -92.313097	Elgin, Minnesota	1,796	94.81 %	#1,814
77.	55070	45.409935, -93.376536	Saint Francis, Minnesota	5,575	94.79 %	#1,835
78.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	94.76 %	#1,859
79.	55381	44.930963, -94.199979	Silver Lake, Minnesota	1,887	94.73 %	#1,872
80.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	94.73 %	#1,874
81.	55370	44.777180, -94.036783	Plato, Minnesota	787	94.73 %	#1,879
82.	55359	45.009590, -93.698264	Maple Plain, Minnesota	5,612	94.72 %	#1,882
83.	55751	47.378630, -92.668216	Iron, Minnesota	1,726	94.72 %	#1,886
84.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	94.71 %	#1,890
85.	55363	45.037192, -93.918320	Montrose, Minnesota	2,839	94.69 %	#1,914
86.	55301	45.248102, -93.675550	Albertville, Minnesota	3,962	94.68 %	#1,925
87.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	94.60 %	#1,986
88.	55110	45.098195, -93.005239	Saint Paul, Minnesota	39,703	94.53 %	#2,043
89.	56160	43.841157, -94.804734	Odin, Minnesota	279	94.48 %	#2,085
90.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	94.46 %	#2,105
91.	55388	44.947419, -93.842598	Watertown, Minnesota	4,482	94.44 %	#2,124
92.	55967	43.795434, -92.507025	Racine, Minnesota	801	94.42 %	#2,143
93.	55330	45.327251, -93.572212	Elk River, Minnesota	26,514	94.41 %	#2,147
94.	56052	44.327421, -93.557905	Kilkenny, Minnesota	760	94.40 %	#2,158
95.	56230	44.796548, -95.087438	Danube, Minnesota	982	94.40 %	#2,160
96.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	94.38 %	#2,178
97.	56032	43.762947, -93.556522	Freeborn, Minnesota	332	94.36 %	#2,197
98.	55092	45.349572, -93.069716	Wyoming, Minnesota	9,239	94.35 %	#2,204
99.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	94.33 %	#2,225
100.	55379	44.743507, -93.526107	Shakopee, Minnesota	23,250	94.33 %	#2,231

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