Zip Codes with the Highest Percentage of Population employed in Transportation in the United States

United States Report:

Percentage of Population employed in Transportation

#	Zip Code	Location	City	Population	% In Transportation	National Rank
1.	21522	39.610099, -79.241125	Bittinger, Maryland	53	100.00 %	#1
2.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	100.00 %	#2
3.	97817	44.710498, -118.803610	Bates, Oregon	11	100.00 %	#3
4.	88417	35.003420, -104.379686	Cuervo, New Mexico	58	100.00 %	#4
5.	89017	37.679878, -115.407429	Hiko, Nevada	130	100.00 %	#5
6.	60519	41.778113, -88.242002	Eola, Illinois	74	100.00 %	#6
7.	24887	37.371746, -81.384000	Switchback, West Virginia	67	76.19 %	#7
8.	26617	38.492358, -80.848281	Dille, West Virginia	176	70.00 %	#8
9.	92267	34.273872, -114.192901	Parker Dam, California	113	68.18 %	#9
10.	97840	44.942985, -116.902590	Oxbow, Oregon	148	64.61 %	#10
11.	57547	43.483939, -101.458224	Long Valley, South Dakota	161	62.50 %	#11
12.	92323	35.206794, -115.402108	Cima, California	21	60.00 %	#13
13.	97634	42.130232, -121.818744	Midland, Oregon	64	59.25 %	#14
14.	36065	32.045518, -86.049727	Pine Level, Alabama	46	58.88 %	#15
15.	24316	36.950316, -81.687259	Broadford, Virginia	26	57.14 %	#16
16.	96119	41.042003, -120.506086	Madeline, California	70	57.14 %	#17
17.	40816	37.016202, -83.328942	Chappell, Kentucky	71	56.25 %	#18
18.	15420	39.957128, -79.868052	Cardale, Pennsylvania	128	54.05 %	#19
19.	93605	37.172770, -119.299700	Big Creek, California	258	53.70 %	#20
20.	98235	48.460985, -122.233908	Clearlake, Washington	95	53.12 %	#21
21.	41390	37.409407, -83.376913	Whick, Kentucky	81	47.05 %	#23
22.	61276	41.303276, -90.597164	Preemption, Illinois	71	46.87 %	#24
23.	97425	43.447003, -121.894101	Crescent Lake, Oregon	122	45.83 %	#25
24.	50145	41.204542, -93.500353	Liberty Center, Iowa	26	45.45 %	#26
25.	40339	37.940544, -84.645953	Keene, Kentucky	81	45.45 %	#27
26.	98421	47.257939, -122.401802	Tacoma, Washington	603	45.22 %	#28
27.	57737	44.476477, -102.538899	Enning, South Dakota	49	41.66 %	#29
28.	61332	41.189533, -88.982636	Leonore, Illinois	36	41.17 %	#30
29.	75207	32.787700, -96.820656	Dallas, Texas	8,116	41.10 %	#31
30.	40803	37.050449, -83.417586	Asher, Kentucky	160	40.74 %	#32
31.	99695	61.426177, -150.677083	Anchorage, Alaska	35	40.00 %	#35
32.	23407	37.841163, -75.539089	Mappsville, Virginia	155	40.00 %	#36
33.	85922	33.557802, -109.275383	Blue, Arizona	36	40.00 %	#37
34.	83826	48.977402, -116.197022	Eastport, Idaho	94	39.65 %	#38
35.	96085	41.737962, -123.075570	Scott Bar, California	68	39.13 %	#39
36.	82640	43.548877, -106.140654	Linch, Wyoming	41	38.88 %	#40
37.	72571	35.626923, -91.545097	Rosie, Arkansas	497	38.37 %	#41
38.	95923	40.171312, -121.120605	Canyon Dam, California	67	38.09 %	#42
39.	39635	31.193020, -90.465110	Fernwood, Mississippi	150	37.50 %	#43
40.	43902	39.887287, -80.980616	Alledonia, Ohio	212	37.17 %	#44
41.	64165	39.321457, -94.573972	Kansas City, Missouri	61	36.84 %	#45
42.	22433	38.367057, -77.859386	Burr Hill, Virginia	105	36.84 %	#46
43.	71401	31.748861, -91.968654	Aimwell, Louisiana	119	36.73 %	#47
44.	75121	33.086549, -96.417603	Copeville, Texas	43	36.36 %	#48
45.	87027	36.151678, -107.014047	La Jara, New Mexico	145	36.36 %	#49
46.	30726	34.976009, -85.141441	Graysville, Georgia	48	36.00 %	#50
47.	72930	35.433590, -94.040732	Cecil, Arkansas	413	35.91 %	#51
48.	04764	46.401481, -68.504642	Oxbow, Maine	57	35.29 %	#52
49.	46513	41.362893, -86.448143	Donaldson, Indiana	56	35.00 %	#53
50.	61855	39.931865, -88.676957	Milmine, Illinois	74	34.78 %	#54
51.	62950	37.746447, -89.560711	Jacob, Illinois	232	34.54 %	#55
52.	29826	33.382032, -81.373959	Elko, South Carolina	45	34.48 %	#56
53.	47924	40.487884, -86.764199	Buck Creek, Indiana	98	34.48 %	#57
54.	61471	40.701420, -90.830200	Raritan, Illinois	142	34.14 %	#58
55.	41778	37.277860, -83.333801	Yerkes, Kentucky	224	34.14 %	#59
56.	99553	54.143830, -165.818818	Akutan, Alaska	713	34.02 %	#60
57.	67482	39.025253, -97.250810	Talmage, Kansas	97	33.89 %	#61
58.	25160	38.324256, -81.268453	Pond Gap, West Virginia	330	33.72 %	#62
59.	79353	33.795251, -102.586712	Pep, Texas	24	33.33 %	#63
60.	80862	38.924013, -103.055131	Wild Horse, Colorado	68	33.33 %	#64
61.	78658	29.599771, -97.588135	Ottine, Texas	102	33.33 %	#65
62.	67150	37.048748, -98.220065	Waldron, Kansas	29	33.33 %	#66
63.	08329	39.275985, -75.007658	Mauricetown, New Jersey	162	33.33 %	#67
64.	40941	37.184317, -83.654115	Garrard, Kentucky	269	33.33 %	#68
65.	24867	37.578991, -81.488412	New Richmond, West Virginia	265	33.33 %	#69
66.	47445	39.125296, -87.189345	Midland, Indiana	41	33.33 %	#70
67.	46377	41.193490, -87.346685	Shelby, Indiana	372	33.33 %	#71
68.	12727	41.660107, -74.982500	Cochecton Center, New York	23	33.33 %	#72
69.	23441	37.712264, -75.698925	Tasley, Virginia	86	33.33 %	#73
70.	82051	41.624083, -105.609208	Bosler, Wyoming	87	33.33 %	#74
71.	76373	34.158685, -99.127695	Oklaunion, Texas	194	33.33 %	#75
72.	23426	37.933170, -75.675639	Sanford, Virginia	203	32.95 %	#76
73.	24634	37.276808, -81.887992	Pilgrims Knob, Virginia	479	32.82 %	#77
74.	42060	36.968557, -88.846659	Lovelaceville, Kentucky	179	32.81 %	#78
75.	99605	60.869127, -149.471506	Hope, Alaska	155	32.60 %	#79
76.	25818	37.866397, -81.192011	Bradley, West Virginia	109	32.55 %	#80
77.	70451	30.548924, -90.487542	Natalbany, Louisiana	175	32.53 %	#81
78.	61936	39.803199, -88.726892	La Place, Illinois	310	32.21 %	#82
79.	79231	33.944960, -101.092423	Dougherty, Texas	79	32.14 %	#83
80.	39148	32.055635, -89.990157	Piney Woods, Mississippi	56	32.00 %	#84
81.	99571	55.070915, -162.830675	Cold Bay, Alaska	171	31.88 %	#85
82.	71316	31.241848, -91.741404	Acme, Louisiana	47	31.57 %	#86
83.	70747	30.874086, -91.676393	Innis, Louisiana	97	31.57 %	#87
84.	99724	66.390584, -147.337916	Beaver, Alaska	84	30.90 %	#88
85.	47430	38.775701, -86.290990	Fort Ritner, Indiana	75	30.76 %	#89
86.	68414	40.310748, -95.683154	Nemaha, Nebraska	301	30.06 %	#91
87.	26684	38.165700, -80.842143	Pool, West Virginia	185	30.00 %	#92
88.	75680	32.013987, -94.714824	Minden, Texas	82	30.00 %	#93
89.	15763	40.905056, -79.143613	Northpoint, Pennsylvania	32	30.00 %	#94
90.	83677	45.052143, -115.517963	Yellow Pine, Idaho	45	30.00 %	#95
91.	66759	37.568663, -95.938866	New Albany, Kansas	44	30.00 %	#96
92.	88255	32.731367, -103.959417	Loco Hills, New Mexico	153	29.68 %	#97
93.	95910	39.467828, -120.841386	Alleghany, California	106	29.62 %	#98
94.	97033	45.197868, -120.580572	Kent, Oregon	74	29.54 %	#99
95.	82215	42.382878, -104.708397	Hartville, Wyoming	142	29.21 %	#101
96.	41310	37.639448, -83.246396	Bays, Kentucky	46	29.16 %	#102
97.	63934	37.202796, -90.408225	Clubb, Missouri	93	28.94 %	#103
98.	92384	35.924252, -116.188668	Shoshone, California	70	28.88 %	#104
99.	65660	37.334212, -92.273898	Graff, Missouri	215	28.84 %	#105
100.	98673	45.660565, -120.954087	Wishram, Washington	213	28.57 %	#107

1-100 out of 31,697 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