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

United States Report:

Percentage of High School Graduates

#	Zip Code	Location	City	Population	% High School Grad.	National Rank
1.	82620	42.678136, -107.107762	Alcova, Wyoming	227	100.00 %	#1
2.	82938	41.187273, -109.351039	Mc Kinnon, Wyoming	202	100.00 %	#2
3.	83469	45.130004, -114.563726	Shoup, Idaho	15	100.00 %	#3
4.	82942	41.707864, -108.838928	Point Of Rocks, Wyoming	62	100.00 %	#4
5.	83238	42.321016, -111.116429	Geneva, Idaho	141	100.00 %	#5
6.	81210	38.808675, -106.677959	Almont, Colorado	194	100.00 %	#6
7.	81653	40.894275, -107.241644	Slater, Colorado	42	100.00 %	#7
8.	84018	41.140928, -111.537652	Croydon, Utah	134	100.00 %	#8
9.	81220	38.302659, -107.451818	Cimarron, Colorado	150	100.00 %	#9
10.	81430	38.099341, -108.004883	Placerville, Colorado	93	100.00 %	#10
11.	83011	43.633393, -110.522857	Kelly, Wyoming	242	100.00 %	#11
12.	83012	43.715480, -110.807008	Moose, Wyoming	460	100.00 %	#12
13.	82717	44.445300, -105.403644	Gillette, Wyoming	78	100.00 %	#13
14.	83354	43.681397, -114.332207	Sun Valley, Idaho	90	100.00 %	#14
15.	84024	40.949790, -111.440800	Echo, Utah	73	100.00 %	#15
16.	82052	41.105293, -105.353073	Buford, Wyoming	45	100.00 %	#16
17.	66077	39.422814, -95.115761	Potter, Kansas	77	100.00 %	#17
18.	65457	37.782592, -92.078264	Devils Elbow, Missouri	163	100.00 %	#18
19.	67012	37.673665, -96.546550	Beaumont, Kansas	94	100.00 %	#19
20.	65727	37.765849, -93.295111	Polk, Missouri	157	100.00 %	#20
21.	66506	39.195933, -96.581034	Manhattan, Kansas	2,476	100.00 %	#21
22.	64167	39.323147, -94.480960	Kansas City, Missouri	409	100.00 %	#23
23.	63370	39.080576, -91.223333	Olney, Missouri	41	100.00 %	#24
24.	64433	40.230712, -94.678187	Conception, Missouri	190	100.00 %	#25
25.	62993	37.147184, -89.278179	Unity, Illinois	143	100.00 %	#26
26.	76831	30.774588, -98.981276	Castell, Texas	12	100.00 %	#27
27.	77010	29.754310, -95.361109	Houston, Texas	76	100.00 %	#28
28.	77428	28.717530, -96.147938	Collegeport, Texas	77	100.00 %	#29
29.	78144	28.957538, -97.890389	Panna Maria, Texas	41	100.00 %	#30
30.	76874	30.474031, -100.107382	Roosevelt, Texas	98	100.00 %	#31
31.	78545	26.567589, -99.131644	Falcon Heights, Texas	78	100.00 %	#32
32.	76885	30.858957, -98.861313	Valley Spring, Texas	41	100.00 %	#33
33.	76798	31.547131, -97.120333	Waco, Texas	3,123	100.00 %	#34
34.	78074	29.949425, -98.785953	Waring, Texas	59	100.00 %	#35
35.	71434	31.465499, -92.948951	Gorum, Louisiana	110	100.00 %	#36
36.	71656	33.590820, -91.812336	Monticello, Arkansas	121	100.00 %	#37
37.	72329	35.631028, -90.012868	Driver, Arkansas	90	100.00 %	#38
38.	72038	34.448607, -91.281292	Crocketts Bluff, Arkansas	70	100.00 %	#39
39.	76127	32.764822, -97.419502	Naval Air Station Jrb, Texas	289	100.00 %	#40
40.	76177	32.946080, -97.311957	Fort Worth, Texas	45	100.00 %	#41
41.	73097	35.396952, -97.651948	Wheatland, Oklahoma	39	100.00 %	#42
42.	73553	34.341814, -98.705405	Loveland, Oklahoma	74	100.00 %	#43
43.	73746	36.686034, -98.649600	Hopeton, Oklahoma	60	100.00 %	#44
44.	79330	33.039383, -101.173427	Justiceburg, Texas	60	100.00 %	#45
45.	80423	39.845901, -106.554702	Bond, Colorado	108	100.00 %	#46
46.	80428	40.864384, -106.874276	Clark, Colorado	491	100.00 %	#47
47.	80025	39.925508, -105.299486	Eldorado Springs, Colorado	197	100.00 %	#48
48.	80866	39.105052, -105.244358	Woodland Park, Colorado	111	100.00 %	#49
49.	78623	29.960572, -98.201092	Fischer, Texas	310	100.00 %	#50
50.	79406	33.583653, -101.878651	Lubbock, Texas	4,470	100.00 %	#51
51.	84719	37.645213, -112.809028	Brian Head, Utah	121	100.00 %	#53
52.	84781	37.373811, -113.520154	Pine Valley, Utah	75	100.00 %	#54
53.	86052	36.416061, -112.275150	North Rim, Arizona	32	100.00 %	#55
54.	85309	33.530879, -112.382786	Glendale Luke Afb, Arizona	682	100.00 %	#56
55.	87011	34.045516, -106.018685	Claunch, New Mexico	53	100.00 %	#58
56.	87573	35.811494, -105.673481	Tererro, New Mexico	19	100.00 %	#59
57.	84764	37.643673, -112.212781	Bryce, Utah	85	100.00 %	#60
58.	82055	41.342373, -106.092158	Centennial, Wyoming	136	100.00 %	#61
59.	82725	44.876794, -105.702597	Recluse, Wyoming	149	100.00 %	#62
60.	81522	38.739630, -108.983003	Gateway, Colorado	61	100.00 %	#63
61.	82061	41.445182, -105.161358	Horse Creek, Wyoming	21	100.00 %	#64
62.	82063	40.948788, -105.939598	Jelm, Wyoming	118	100.00 %	#65
63.	83277	43.078349, -112.676867	Springfield, Idaho	149	100.00 %	#66
64.	83671	45.318557, -115.588555	Warren, Idaho	8	100.00 %	#67
65.	81243	38.222076, -107.186763	Powderhorn, Colorado	76	100.00 %	#68
66.	81248	38.395067, -106.477757	Sargents, Colorado	60	100.00 %	#69
67.	82081	41.506324, -104.474808	Meriden, Wyoming	73	100.00 %	#70
68.	82084	41.023724, -105.444307	Tie Siding, Wyoming	23	100.00 %	#71
69.	83433	44.496242, -111.327185	Macks Inn, Idaho	49	100.00 %	#72
70.	81330	37.238358, -108.462927	Mesa Verde National Park, Colorado	37	100.00 %	#73
71.	82217	41.769629, -104.225391	Hawk Springs, Wyoming	170	100.00 %	#74
72.	84112	40.764906, -111.840937	Salt Lake City, Utah	1,648	100.00 %	#75
73.	82929	41.587036, -109.822257	Little America, Wyoming	56	100.00 %	#76
74.	81335	37.470198, -108.880372	Yellow Jacket, Colorado	215	100.00 %	#77
75.	82224	42.886336, -104.923722	Lost Springs, Wyoming	84	100.00 %	#78
76.	81642	39.312809, -106.567714	Meredith, Colorado	61	100.00 %	#79
77.	82242	42.697234, -104.138077	Van Tassell, Wyoming	51	100.00 %	#80
78.	52652	41.097904, -91.554298	Swedesburg, Iowa	86	100.00 %	#81
79.	51502	41.272467, -95.795890	Council Bluffs, Iowa	137	100.00 %	#82
80.	45115	38.814683, -83.704258	Decatur, Ohio	28	100.00 %	#85
81.	45384	39.708734, -83.883736	Wilberforce, Ohio	567	100.00 %	#86
82.	45809	40.840942, -84.180016	Gomer, Ohio	208	100.00 %	#87
83.	46290	39.934406, -86.161542	Indianapolis, Indiana	189	100.00 %	#88
84.	45838	40.739946, -84.476686	Elgin, Ohio	29	100.00 %	#89
85.	46513	41.362893, -86.448143	Donaldson, Indiana	56	100.00 %	#90
86.	45349	39.990917, -83.938169	North Hampton, Ohio	110	100.00 %	#91
87.	45352	40.050152, -84.744321	Palestine, Ohio	170	100.00 %	#92
88.	46216	39.859999, -86.009334	Indianapolis, Indiana	261	100.00 %	#93
89.	46045	40.289407, -86.149993	Goldsmith, Indiana	55	100.00 %	#94
90.	50137	41.608226, -92.904421	Killduff, Iowa	64	100.00 %	#95
91.	50145	41.204542, -93.500353	Liberty Center, Iowa	26	100.00 %	#96
92.	50152	41.966442, -93.821256	Luther, Iowa	26	100.00 %	#97
93.	49666	44.637585, -85.555186	Mayfield, Michigan	39	100.00 %	#98
94.	49761	45.554470, -84.530521	Mullett Lake, Michigan	31	100.00 %	#99
95.	49434	42.769658, -86.205446	Macatawa, Michigan	44	100.00 %	#100
96.	50117	41.656638, -94.851603	Hamlin, Iowa	251	100.00 %	#101
97.	50041	42.638427, -93.247895	Bradford, Iowa	123	100.00 %	#102
98.	49115	41.875061, -86.641328	Harbert, Michigan	36	100.00 %	#103
99.	50059	41.913646, -94.342972	Cooper, Iowa	14	100.00 %	#104
100.	47019	38.882276, -84.945502	East Enterprise, Indiana	48	100.00 %	#105

1-100 out of 31,632 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