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

South Dakota 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.	57346	44.222157, -99.410525	Stephan, South Dakota	144	100.00 %	#110
2.	57256	45.236003, -97.202744	Ortley, South Dakota	98	100.00 %	#111
3.	57027	43.192125, -96.519558	Fairview, South Dakota	54	100.00 %	#113
4.	57041	43.724886, -96.861186	Lyons, South Dakota	102	100.00 %	#115
5.	57799	44.492703, -103.869922	Spearfish, South Dakota	18	100.00 %	#149
6.	57737	44.476477, -102.538899	Enning, South Dakota	49	100.00 %	#150
7.	57540	44.461425, -99.607861	Holabird, South Dakota	132	98.21 %	#547
8.	57032	43.424192, -96.678132	Harrisburg, South Dakota	2,476	97.86 %	#577
9.	57245	44.883607, -96.917056	Kranzburg, South Dakota	105	97.05 %	#731
10.	57020	43.675327, -96.827906	Crooks, South Dakota	1,112	96.84 %	#791
11.	57064	43.456944, -96.878265	Tea, South Dakota	2,691	96.79 %	#808
12.	57033	43.617972, -96.960938	Hartford, South Dakota	3,983	96.33 %	#943
13.	57214	44.480747, -97.207006	Badger, South Dakota	156	95.77 %	#1,181
14.	57005	43.592486, -96.590078	Brandon, South Dakota	7,058	95.45 %	#1,360
15.	57077	43.321853, -96.756407	Worthing, South Dakota	1,023	95.34 %	#1,446
16.	57110	43.545488, -96.642616	Sioux Falls, South Dakota	8,440	95.19 %	#1,530
17.	57107	43.597620, -96.820415	Sioux Falls, South Dakota	5,044	94.82 %	#1,802
18.	57015	43.418395, -96.980724	Chancellor, South Dakota	786	94.44 %	#2,122
19.	57763	43.160921, -103.187114	Oelrichs, South Dakota	309	94.44 %	#2,126
20.	57547	43.483939, -101.458224	Long Valley, South Dakota	161	94.33 %	#2,226
21.	57039	43.337838, -96.874855	Lennox, South Dakota	3,228	94.30 %	#2,253
22.	57703	44.031095, -103.079751	Rapid City, South Dakota	10,602	94.21 %	#2,330
23.	57718	44.167566, -103.366745	Black Hawk, South Dakota	4,925	93.93 %	#2,604
24.	57479	45.308316, -98.443747	Warner, South Dakota	622	93.83 %	#2,693
25.	57534	43.613357, -99.705648	Hamill, South Dakota	180	93.75 %	#2,775
26.	57793	44.510564, -103.586908	Whitewood, South Dakota	1,590	93.55 %	#2,994
27.	57050	44.157204, -97.012788	Nunda, South Dakota	183	93.54 %	#3,005
28.	57108	43.476066, -96.710176	Sioux Falls, South Dakota	6,298	93.52 %	#3,033
29.	57055	43.666850, -96.743898	Renner, South Dakota	1,062	93.28 %	#3,300
30.	57424	45.020492, -98.523182	Ashton, South Dakota	373	93.03 %	#3,594
31.	57018	43.797893, -96.981006	Colton, South Dakota	1,398	92.63 %	#4,085
32.	57003	43.746313, -96.755327	Baltic, South Dakota	1,568	92.52 %	#4,213
33.	57022	43.841527, -96.695677	Dell Rapids, South Dakota	4,268	92.51 %	#4,225
34.	57030	43.735725, -96.543710	Garretson, South Dakota	2,656	92.48 %	#4,269
35.	57331	43.474415, -98.044848	Dimock, South Dakota	476	92.39 %	#4,370
36.	57038	42.585156, -96.576625	Jefferson, South Dakota	1,132	92.12 %	#4,726
37.	57569	43.835937, -99.535299	Reliance, South Dakota	493	91.94 %	#4,990
38.	57421	45.755098, -97.927439	Amherst, South Dakota	106	91.83 %	#5,128
39.	57769	44.270091, -103.377549	Piedmont, South Dakota	2,915	91.78 %	#5,197
40.	57105	43.519421, -96.733117	Sioux Falls, South Dakota	24,644	91.66 %	#5,346
41.	57010	42.830023, -96.816087	Burbank, South Dakota	471	91.66 %	#5,347
42.	57053	43.417435, -97.135498	Parker, South Dakota	1,931	91.56 %	#5,466
43.	57024	43.991175, -96.681272	Egan, South Dakota	405	91.56 %	#5,467
44.	57106	43.507343, -96.839962	Sioux Falls, South Dakota	27,845	91.47 %	#5,597
45.	57563	43.377574, -100.394381	Okreek, South Dakota	234	91.46 %	#5,614
46.	57103	43.537544, -96.692021	Sioux Falls, South Dakota	32,856	91.40 %	#5,702
47.	57068	43.572833, -96.499455	Valley Springs, South Dakota	1,585	91.38 %	#5,730
48.	57076	43.980770, -97.357530	Winfred, South Dakota	494	91.35 %	#5,762
49.	57002	44.298575, -96.680382	Aurora, South Dakota	858	91.20 %	#5,961
50.	57766	43.368907, -103.158827	Oral, South Dakota	301	91.20 %	#5,966
51.	57329	42.988775, -98.143820	Dante, South Dakota	270	91.08 %	#6,137
52.	57035	43.648147, -97.072051	Humboldt, South Dakota	1,056	91.00 %	#6,247
53.	57312	44.204013, -98.365928	Alpena, South Dakota	567	90.98 %	#6,266
54.	57071	44.272319, -96.962925	Volga, South Dakota	2,452	90.97 %	#6,276
55.	57026	44.258921, -96.540366	Elkton, South Dakota	1,323	90.94 %	#6,313
56.	57384	44.416769, -98.485405	Wolsey, South Dakota	888	90.90 %	#6,361
57.	57037	43.104561, -97.249244	Irene, South Dakota	1,083	90.84 %	#6,443
58.	57367	43.050350, -98.510570	Pickstown, South Dakota	176	90.80 %	#6,498
59.	57259	44.998770, -96.547609	Revillo, South Dakota	545	90.80 %	#6,499
60.	57048	43.753896, -97.193198	Montrose, South Dakota	987	90.76 %	#6,550
61.	57065	43.923069, -96.652687	Trent, South Dakota	408	90.60 %	#6,757
62.	57334	43.549822, -97.997122	Ethan, South Dakota	882	90.47 %	#6,930
63.	57725	43.932032, -102.791900	Caputa, South Dakota	150	90.47 %	#6,935
64.	57246	45.042535, -96.671637	Labolt, South Dakota	222	90.24 %	#7,220
65.	57031	42.879112, -97.187735	Gayville, South Dakota	689	90.13 %	#7,364
66.	57363	43.691415, -98.255432	Mount Vernon, South Dakota	1,114	90.13 %	#7,365
67.	57716	43.124273, -102.189729	Batesland, South Dakota	486	90.13 %	#7,366
68.	57359	43.902598, -98.163388	Letcher, South Dakota	925	90.11 %	#7,393
69.	57719	44.174679, -102.998152	Box Elder, South Dakota	4,091	90.07 %	#7,447
70.	57328	43.437622, -98.439006	Corsica, South Dakota	1,302	90.03 %	#7,492
71.	57353	44.376815, -97.839664	Iroquois, South Dakota	902	89.91 %	#7,654
72.	57276	44.430861, -96.613455	White, South Dakota	1,203	89.89 %	#7,688
73.	57012	43.603419, -97.243002	Canistota, South Dakota	1,168	89.86 %	#7,721
74.	57054	44.131488, -97.259790	Ramona, South Dakota	545	89.86 %	#7,726
75.	57450	45.239215, -99.866956	Hoven, South Dakota	865	89.79 %	#7,818
76.	57344	43.463307, -98.634725	Harrison, South Dakota	186	89.74 %	#7,891
77.	57702	44.032012, -103.415359	Rapid City, South Dakota	29,375	89.63 %	#8,044
78.	57013	43.278376, -96.617496	Canton, South Dakota	4,384	89.60 %	#8,090
79.	57029	43.334745, -97.470784	Freeman, South Dakota	2,299	89.40 %	#8,357
80.	57006	44.308488, -96.796083	Brookings, South Dakota	21,095	89.39 %	#8,366
81.	57427	45.480547, -98.318576	Bath, South Dakota	518	89.35 %	#8,421
82.	57049	42.528455, -96.525279	North Sioux City, South Dakota	4,507	89.30 %	#8,494
83.	57241	44.676190, -97.230361	Hayti, South Dakota	880	89.06 %	#8,834
84.	57047	43.514367, -97.220760	Monroe, South Dakota	262	88.79 %	#9,206
85.	57043	43.408232, -97.309855	Marion, South Dakota	1,564	88.76 %	#9,242
86.	57340	43.795764, -97.837547	Fulton, South Dakota	311	88.63 %	#9,427
87.	57238	44.866616, -96.858066	Goodwin, South Dakota	522	88.55 %	#9,555
88.	57052	43.292356, -97.707966	Olivet, South Dakota	427	88.53 %	#9,586
89.	57021	43.271392, -96.982572	Davis, South Dakota	295	88.46 %	#9,672
90.	57465	45.150856, -98.688664	Northville, South Dakota	366	88.43 %	#9,706
91.	57034	43.120164, -96.538284	Hudson, South Dakota	871	88.26 %	#9,940
92.	57368	43.756286, -98.475708	Plankinton, South Dakota	1,201	88.20 %	#10,029
93.	57375	43.563945, -98.489710	Stickney, South Dakota	774	88.18 %	#10,057
94.	57472	45.456577, -100.069124	Selby, South Dakota	1,086	88.13 %	#10,125
95.	57242	44.776621, -97.352097	Hazel, South Dakota	421	88.12 %	#10,134
96.	57788	44.572683, -103.341238	Vale, South Dakota	533	87.86 %	#10,478
97.	57001	42.974254, -96.617731	Alcester, South Dakota	2,136	87.79 %	#10,590
98.	57063	42.930268, -97.684565	Tabor, South Dakota	944	87.63 %	#10,798
99.	57058	43.753215, -97.378834	Salem, South Dakota	2,019	87.52 %	#10,949
100.	57366	43.391569, -97.946598	Parkston, South Dakota	2,560	87.41 %	#11,088

1-100 out of 363 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