Zip Codes with the Highest Percentage of Households with at least two Vehicles in the United States

United States Report:

Percentage of Households with at least two Vehicles

#	Zip Code	Location	City	Population	% H/holds 2+ Cars	National Rank
1.	47467	38.768167, -86.344441	Tunnelton, Indiana	58	100.00 %	#1
2.	51244	43.242534, -95.934580	Matlock, Iowa	45	100.00 %	#2
3.	51502	41.272467, -95.795890	Council Bluffs, Iowa	137	100.00 %	#3
4.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	100.00 %	#4
5.	50059	41.913646, -94.342972	Cooper, Iowa	14	100.00 %	#5
6.	50152	41.966442, -93.821256	Luther, Iowa	26	100.00 %	#6
7.	50117	41.656638, -94.851603	Hamlin, Iowa	251	100.00 %	#7
8.	57256	45.236003, -97.202744	Ortley, South Dakota	98	100.00 %	#8
9.	61324	41.769393, -89.413342	Eldena, Illinois	107	100.00 %	#9
10.	61328	41.509299, -89.458997	Kasbeer, Illinois	96	100.00 %	#10
11.	60519	41.778113, -88.242002	Eola, Illinois	74	100.00 %	#11
12.	61276	41.303276, -90.597164	Preemption, Illinois	71	100.00 %	#12
13.	61091	41.905967, -89.542148	Woosung, Illinois	10	100.00 %	#13
14.	62532	39.757325, -88.991081	Elwin, Illinois	53	100.00 %	#14
15.	58255	48.996928, -98.351766	Maida, North Dakota	6	100.00 %	#15
16.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	100.00 %	#16
17.	57737	44.476477, -102.538899	Enning, South Dakota	49	100.00 %	#17
18.	59002	45.919935, -108.727605	Acton, Montana	63	100.00 %	#18
19.	64192	38.955811, -94.523770	Kansas City, Missouri	19	100.00 %	#19
20.	63880	36.331047, -90.026517	Whiteoak, Missouri	39	100.00 %	#20
21.	63938	36.519966, -90.264293	Fagus, Missouri	31	100.00 %	#21
22.	70801	30.449200, -91.186235	Baton Rouge, Louisiana	88	100.00 %	#22
23.	72133	34.174795, -91.567555	Reydell, Arkansas	23	100.00 %	#23
24.	71659	34.154088, -91.814557	Moscow, Arkansas	8	100.00 %	#24
25.	72181	35.164491, -92.452780	Wooster, Arkansas	41	100.00 %	#25
26.	72038	34.448607, -91.281292	Crocketts Bluff, Arkansas	70	100.00 %	#26
27.	66741	37.721220, -94.677329	Garland, Kansas	263	100.00 %	#27
28.	75207	32.787700, -96.820656	Dallas, Texas	8,116	100.00 %	#28
29.	73561	34.028346, -97.644441	Oscar, Oklahoma	15	100.00 %	#29
30.	79330	33.039383, -101.173427	Justiceburg, Texas	60	100.00 %	#30
31.	80019	39.786982, -104.702170	Aurora, Colorado	61	100.00 %	#31
32.	79231	33.944960, -101.092423	Dougherty, Texas	79	100.00 %	#32
33.	82061	41.445182, -105.161358	Horse Creek, Wyoming	21	100.00 %	#33
34.	82837	44.790905, -106.198347	Leiter, Wyoming	28	100.00 %	#34
35.	82335	41.804194, -106.773767	Walcott, Wyoming	44	100.00 %	#35
36.	76127	32.764822, -97.419502	Naval Air Station Jrb, Texas	289	100.00 %	#36
37.	76885	30.858957, -98.861313	Valley Spring, Texas	41	100.00 %	#37
38.	87060	34.735300, -106.731879	Tome, New Mexico	72	100.00 %	#38
39.	84024	40.949790, -111.440800	Echo, Utah	73	100.00 %	#40
40.	94972	38.339996, -122.935056	Valley Ford, California	60	100.00 %	#41
41.	97125	45.662737, -123.232346	Manning, Oregon	63	100.00 %	#42
42.	95978	39.904002, -121.527823	Stirling City, California	16	100.00 %	#43
43.	97331	44.564551, -123.280960	Corvallis, Oregon	1,349	100.00 %	#44
44.	95736	39.009780, -120.978273	Weimar, California	29	100.00 %	#45
45.	95481	39.131189, -123.163371	Talmage, California	98	100.00 %	#46
46.	89141	35.982470, -115.205227	Las Vegas, Nevada	262	100.00 %	#47
47.	98025	47.429256, -121.887337	Hobart, Washington	133	100.00 %	#48
48.	98853	47.400025, -119.286995	Stratford, Washington	56	100.00 %	#49
49.	02836	41.455436, -71.621710	Kenyon, Rhode Island	138	100.00 %	#50
50.	02358	41.805376, -70.627840	North Pembroke, Massachusetts	4	100.00 %	#51
51.	07979	40.710140, -74.730717	Pottersville, New Jersey	339	100.00 %	#52
52.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	100.00 %	#53
53.	08064	39.963394, -74.639414	New Lisbon, New Jersey	197	100.00 %	#54
54.	10985	41.583519, -74.373188	Thompson Ridge, New York	57	100.00 %	#55
55.	14083	42.677412, -78.440118	Java Village, New York	43	100.00 %	#56
56.	13602	44.061817, -75.741909	Fort Drum, New York	4,651	100.00 %	#57
57.	15625	40.266702, -79.675270	Darragh, Pennsylvania	41	100.00 %	#58
58.	17254	39.971093, -77.587759	Scotland, Pennsylvania	87	100.00 %	#59
59.	17270	39.852539, -77.798372	Williamson, Pennsylvania	100	100.00 %	#61
60.	16155	41.068219, -80.510814	Villa Maria, Pennsylvania	124	100.00 %	#62
61.	13341	43.036698, -75.397188	Franklin Springs, New York	54	100.00 %	#63
62.	13475	42.866228, -74.853412	Van Hornesville, New York	7	100.00 %	#64
63.	11430	40.650916, -73.788526	Jamaica, New York	229	100.00 %	#65
64.	20319	38.867147, -77.016598	Washington, District Of Columbia	57	100.00 %	#66
65.	18035	40.748795, -75.540167	Cherryville, Pennsylvania	66	100.00 %	#67
66.	19319	39.928651, -75.525364	Cheyney, Pennsylvania	774	100.00 %	#68
67.	19710	39.793040, -75.587754	Montchanin, Delaware	38	100.00 %	#69
68.	19732	39.794447, -75.574804	Rockland, Delaware	54	100.00 %	#70
69.	25048	37.949868, -81.420217	Colcord, West Virginia	12	100.00 %	#71
70.	24846	37.537771, -81.880689	Isaban, West Virginia	37	100.00 %	#72
71.	24943	37.831170, -80.740986	Grassy Meadows, West Virginia	31	100.00 %	#73
72.	24316	36.950316, -81.687259	Broadford, Virginia	26	100.00 %	#74
73.	24327	36.771626, -81.821579	Emory, Virginia	476	100.00 %	#75
74.	25612	37.765981, -81.987155	Chauncey, West Virginia	38	100.00 %	#76
75.	26586	39.527554, -80.107692	Montana Mines, West Virginia	133	100.00 %	#77
76.	27202	36.185580, -79.506028	Altamahaw, North Carolina	24	100.00 %	#78
77.	22579	37.808477, -76.312087	Wicomico Church, Virginia	25	100.00 %	#79
78.	21810	38.293004, -75.687476	Allen, Maryland	38	100.00 %	#80
79.	21717	39.336956, -77.435683	Buckeystown, Maryland	68	100.00 %	#81
80.	22957	38.229674, -78.191677	Montpelier Station, Virginia	30	100.00 %	#82
81.	21737	39.250059, -77.039289	Glenelg, Maryland	828	100.00 %	#83
82.	22509	38.113966, -77.066490	Loretto, Virginia	46	100.00 %	#84
83.	22845	38.786329, -78.816413	Orkney Springs, Virginia	34	100.00 %	#85
84.	21051	39.470986, -76.448728	Fork, Maryland	70	100.00 %	#86
85.	29375	34.862576, -82.110212	Reidville, South Carolina	33	100.00 %	#87
86.	28378	34.859710, -79.051783	Rex, North Carolina	49	100.00 %	#88
87.	33847	27.802721, -81.862786	Homeland, Florida	283	100.00 %	#89
88.	35052	33.586867, -86.406479	Cook Springs, Alabama	278	100.00 %	#90
89.	36267	33.198017, -85.944248	Millerville, Alabama	58	100.00 %	#91
90.	36065	32.045518, -86.049727	Pine Level, Alabama	46	100.00 %	#92
91.	35082	33.117113, -86.170740	Hollins, Alabama	31	100.00 %	#93
92.	35457	33.304145, -87.773144	Echola, Alabama	79	100.00 %	#94
93.	30638	33.776298, -83.424829	Farmington, Georgia	45	100.00 %	#95
94.	30726	34.976009, -85.141441	Graysville, Georgia	48	100.00 %	#96
95.	38378	35.764199, -88.685463	Spring Creek, Tennessee	59	100.00 %	#97
96.	37684	36.308302, -82.376077	Mountain Home, Tennessee	404	100.00 %	#98
97.	38157	35.114207, -89.891661	Memphis, Tennessee	75	100.00 %	#99
98.	39161	32.502231, -89.868785	Sandhill, Mississippi	82	100.00 %	#100
99.	44828	41.234154, -82.870448	Flat Rock, Ohio	107	100.00 %	#101
100.	43972	40.102594, -80.973089	Bannock, Ohio	101	100.00 %	#102

1-100 out of 31,719 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