Zip Codes with the Highest Percentage of High School Students in the United States

United States Report:

Percentage of High School Students

#	Zip Code	Location	City	Population	% In High School	National Rank
1.	79240	34.883937, -100.760664	Lelia Lake, Texas	101	100.00 %	#1
2.	87730	36.093147, -104.271252	Mills, New Mexico	36	100.00 %	#2
3.	83666	43.963799, -115.990950	Placerville, Idaho	55	100.00 %	#3
4.	82731	44.792498, -105.255557	Weston, Wyoming	132	100.00 %	#4
5.	83121	41.810777, -110.538012	Frontier, Wyoming	21	100.00 %	#5
6.	82844	44.797803, -107.228678	Wolf, Wyoming	25	100.00 %	#6
7.	82217	41.769629, -104.225391	Hawk Springs, Wyoming	170	100.00 %	#7
8.	82929	41.587036, -109.822257	Little America, Wyoming	56	100.00 %	#8
9.	81434	38.911606, -107.357711	Somerset, Colorado	190	100.00 %	#9
10.	89311	38.904618, -114.130102	Baker, Nevada	160	100.00 %	#10
11.	95721	38.851842, -120.076204	Echo Lake, California	60	100.00 %	#11
12.	95742	38.591134, -121.161585	Rancho Cordova, California	294	100.00 %	#12
13.	95941	39.531028, -121.248070	Forbestown, California	444	100.00 %	#13
14.	95250	38.244806, -120.417301	Sheep Ranch, California	87	100.00 %	#14
15.	97909	44.243161, -117.428615	Jamieson, Oregon	49	100.00 %	#15
16.	97033	45.197868, -120.580572	Kent, Oregon	74	100.00 %	#16
17.	04764	46.401481, -68.504642	Oxbow, Maine	57	100.00 %	#17
18.	92323	35.206794, -115.402108	Cima, California	21	100.00 %	#18
19.	02366	41.856419, -70.652397	South Carver, Massachusetts	126	100.00 %	#19
20.	07608	40.852999, -74.060355	Teterboro, New Jersey	18	100.00 %	#20
21.	12041	42.539990, -73.973842	Clarksville, New York	14	100.00 %	#21
22.	12416	42.102658, -74.282783	Chichester, New York	87	100.00 %	#22
23.	11042	40.758295, -73.697102	New Hyde Park, New York	513	100.00 %	#23
24.	24131	37.570310, -80.232729	Paint Bank, Virginia	148	100.00 %	#24
25.	24058	37.193077, -80.563903	Belspring, Virginia	176	100.00 %	#25
26.	24624	37.195239, -81.958909	Keen Mountain, Virginia	70	100.00 %	#27
27.	24843	37.477155, -81.693534	Hensley, West Virginia	58	100.00 %	#28
28.	24855	37.409498, -81.425190	Kyle, West Virginia	62	100.00 %	#29
29.	16422	41.661442, -80.316690	Harmonsburg, Pennsylvania	50	100.00 %	#30
30.	17767	41.083938, -77.463367	Salona, Pennsylvania	65	100.00 %	#31
31.	16837	40.945440, -78.474451	Glen Richey, Pennsylvania	188	100.00 %	#32
32.	23023	37.775765, -76.982364	Bruington, Virginia	137	100.00 %	#33
33.	23045	37.427884, -76.269104	Diggs, Virginia	192	100.00 %	#34
34.	22820	38.703938, -79.020531	Criders, Virginia	297	100.00 %	#35
35.	18936	40.220190, -75.229147	Montgomeryville, Pennsylvania	5	100.00 %	#36
36.	19736	39.791301, -75.649270	Yorklyn, Delaware	63	100.00 %	#37
37.	32337	30.474619, -84.019398	Lloyd, Florida	34	100.00 %	#38
38.	32356	29.878709, -83.415596	Salem, Florida	95	100.00 %	#39
39.	25989	37.678587, -81.036977	White Oak, West Virginia	92	100.00 %	#40
40.	29826	33.382032, -81.373959	Elko, South Carolina	45	100.00 %	#42
41.	43909	40.068145, -80.818476	Blaine, Ohio	87	100.00 %	#43
42.	36267	33.198017, -85.944248	Millerville, Alabama	58	100.00 %	#44
43.	35766	34.853176, -86.220142	Princeton, Alabama	89	100.00 %	#45
44.	40376	37.798647, -83.707052	Slade, Kentucky	38	100.00 %	#46
45.	41201	38.074458, -82.738306	Adams, Kentucky	153	100.00 %	#47
46.	41534	37.278293, -82.473703	Hellier, Kentucky	150	100.00 %	#48
47.	38378	35.764199, -88.685463	Spring Creek, Tennessee	59	100.00 %	#50
48.	38880	34.575783, -88.608412	Wheeler, Mississippi	87	100.00 %	#51
49.	49877	46.118188, -87.709365	Ralph, Michigan	51	100.00 %	#52
50.	47392	39.902344, -84.945198	Webster, Indiana	68	100.00 %	#53
51.	47430	38.775701, -86.290990	Fort Ritner, Indiana	75	100.00 %	#54
52.	59076	46.278042, -107.075551	Sanders, Montana	47	100.00 %	#55
53.	60967	40.614415, -87.592357	Stockland, Illinois	86	100.00 %	#56
54.	60141	41.858329, -87.837895	Hines, Illinois	247	100.00 %	#57
55.	61077	42.237411, -89.358030	Seward, Illinois	42	100.00 %	#58
56.	57571	43.114752, -99.094968	Saint Charles, South Dakota	58	100.00 %	#60
57.	61941	39.803900, -88.075546	Murdock, Illinois	117	100.00 %	#61
58.	62962	37.055863, -89.329533	Miller City, Illinois	93	100.00 %	#62
59.	76831	30.774588, -98.981276	Castell, Texas	12	100.00 %	#63
60.	76949	32.034057, -100.690070	Silver, Texas	30	100.00 %	#64
61.	71330	31.109760, -92.237537	Echo, Louisiana	75	100.00 %	#65
62.	72181	35.164491, -92.452780	Wooster, Arkansas	41	100.00 %	#66
63.	70373	29.523011, -90.436566	Larose, Louisiana	19	100.00 %	#67
64.	76177	32.946080, -97.311957	Fort Worth, Texas	45	100.00 %	#68
65.	74753	33.915945, -96.544587	Platter, Oklahoma	102	100.00 %	#69
66.	73437	34.367943, -97.412376	Graham, Oklahoma	158	100.00 %	#70
67.	73802	36.544763, -99.301438	Woodward, Oklahoma	40	100.00 %	#71
68.	73571	34.929488, -99.879727	Vinson, Oklahoma	125	100.00 %	#72
69.	80423	39.845901, -106.554702	Bond, Colorado	108	100.00 %	#73
70.	96125	39.600599, -120.636358	Sierra City, California	328	90.32 %	#74
71.	58323	48.850791, -98.917919	Calvin, North Dakota	68	88.88 %	#75
72.	14614	43.157055, -77.615197	Rochester, New York	926	87.50 %	#76
73.	34141	25.826388, -81.009700	Ochopee, Florida	128	86.95 %	#77
74.	63951	37.113212, -90.288029	Lowndes, Missouri	394	86.66 %	#78
75.	80862	38.924013, -103.055131	Wild Horse, Colorado	68	85.71 %	#79
76.	96132	41.027281, -120.669427	Termo, California	61	85.71 %	#80
77.	58343	48.288705, -99.728892	Knox, North Dakota	115	85.71 %	#81
78.	18628	41.430240, -76.313808	Lopez, Pennsylvania	501	85.27 %	#82
79.	97634	42.130232, -121.818744	Midland, Oregon	64	84.00 %	#83
80.	25205	38.020590, -81.773017	Uneeda, West Virginia	183	83.78 %	#84
81.	82831	44.645177, -106.052983	Arvada, Wyoming	170	83.33 %	#85
82.	61037	41.787710, -89.760595	Galt, Illinois	138	83.33 %	#86
83.	38738	33.922888, -90.540753	Parchman, Mississippi	4,906	82.37 %	#87
84.	37140	35.860974, -87.660782	Only, Tennessee	1,246	81.61 %	#88
85.	05907	44.946913, -71.781954	Norton, Vermont	232	81.25 %	#89
86.	24604	37.211983, -81.538085	Bishop, Virginia	336	81.13 %	#90
87.	58009	47.331257, -97.250884	Blanchard, North Dakota	92	80.00 %	#91
88.	80755	39.882794, -102.366079	Vernon, Colorado	181	80.00 %	#92
89.	46513	41.362893, -86.448143	Donaldson, Indiana	56	79.31 %	#93
90.	93216	35.772237, -119.269620	Delano, California	4,412	78.51 %	#94
91.	61479	40.999055, -89.654666	Speer, Illinois	169	78.26 %	#95
92.	05254	43.160007, -73.067015	Manchester, Vermont	227	77.77 %	#96
93.	44503	41.098889, -80.648012	Youngstown, Ohio	998	77.52 %	#97
94.	25986	37.873078, -80.805022	Spring Dale, West Virginia	72	77.27 %	#98
95.	82642	43.209838, -107.686884	Lysite, Wyoming	80	76.92 %	#99
96.	59242	48.420444, -104.711144	Homestead, Montana	35	76.92 %	#100
97.	30177	34.414116, -84.378641	Tate, Georgia	338	76.74 %	#101
98.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	76.64 %	#102
99.	56434	46.379653, -94.925494	Aldrich, Minnesota	84	76.00 %	#103
100.	52581	40.801220, -93.063949	Plano, Iowa	339	75.60 %	#104

1-100 out of 31,401 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