Zip Codes with the Highest Percentage of Population employed in Professional & Scientific industry in the United States

United States Report:

Percentage of Population employed in Professional & Scientific industry

#	Zip Code	Location	City	Population	% In Science	National Rank
1.	26268	38.770661, -79.741547	Glady, West Virginia	44	100.00 %	#1
2.	40849	36.880342, -83.134079	Lejunior, Kentucky	118	100.00 %	#3
3.	99903	55.689879, -132.195857	Meyers Chuck, Alaska	24	100.00 %	#4
4.	28733	35.443836, -83.833423	Fontana Dam, North Carolina	27	100.00 %	#5
5.	81127	37.208736, -107.364232	Chimney Rock, Colorado	57	100.00 %	#6
6.	83874	47.643335, -115.804016	Murray, Idaho	59	100.00 %	#7
7.	06376	41.294723, -72.255852	South Lyme, Connecticut	68	100.00 %	#8
8.	77010	29.754310, -95.361109	Houston, Texas	76	72.97 %	#9
9.	89420	38.626894, -118.251123	Luning, Nevada	32	70.37 %	#10
10.	83215	43.443012, -112.812768	Atomic City, Idaho	20	66.66 %	#11
11.	15447	39.946136, -79.939325	Isabella, Pennsylvania	90	61.29 %	#12
12.	35139	33.711029, -86.966734	Sayre, Alabama	107	58.06 %	#13
13.	47019	38.882276, -84.945502	East Enterprise, Indiana	48	57.14 %	#14
14.	24011	37.270198, -79.941523	Roanoke, Virginia	75	54.54 %	#15
15.	41426	37.783721, -82.997578	Falcon, Kentucky	91	53.84 %	#16
16.	39161	32.502231, -89.868785	Sandhill, Mississippi	82	51.85 %	#17
17.	28378	34.859710, -79.051783	Rex, North Carolina	49	50.00 %	#18
18.	44816	41.334551, -82.355645	Birmingham, Ohio	105	48.00 %	#20
19.	62085	39.078551, -89.806963	Sawyerville, Illinois	24	47.05 %	#21
20.	88040	31.941716, -108.387538	Hachita, New Mexico	86	47.05 %	#22
21.	28452	33.999128, -78.556074	Longwood, North Carolina	360	46.87 %	#23
22.	76831	30.774588, -98.981276	Castell, Texas	12	45.45 %	#24
23.	18035	40.748795, -75.540167	Cherryville, Pennsylvania	66	45.16 %	#25
24.	25907	37.856762, -81.080289	Prince, West Virginia	78	45.16 %	#26
25.	75247	32.813447, -96.879784	Dallas, Texas	254	45.00 %	#27
26.	43925	40.450247, -80.860107	East Springfield, Ohio	85	44.23 %	#28
27.	72679	35.730880, -92.841365	Tilly, Arkansas	66	43.75 %	#29
28.	94592	38.093701, -122.276589	Vallejo, California	149	42.35 %	#30
29.	63938	36.519966, -90.264293	Fagus, Missouri	31	41.66 %	#31
30.	20139	38.640297, -77.691481	Casanova, Virginia	36	41.66 %	#32
31.	07842	40.942121, -74.512172	Hibernia, New Jersey	93	41.66 %	#33
32.	85263	33.735320, -111.688945	Rio Verde, Arizona	1,437	41.29 %	#34
33.	38157	35.114207, -89.891661	Memphis, Tennessee	75	41.17 %	#35
34.	95651	38.815515, -120.916997	Lotus, California	483	40.47 %	#36
35.	10503	41.025560, -73.874987	Ardsley On Hudson, New York	115	39.28 %	#37
36.	96071	40.656287, -121.428965	Old Station, California	169	38.88 %	#38
37.	20004	38.894991, -77.029915	Washington, District Of Columbia	901	38.61 %	#39
38.	02210	42.347682, -71.041731	Boston, Massachusetts	592	38.46 %	#40
39.	21051	39.470986, -76.448728	Fork, Maryland	70	37.83 %	#41
40.	97414	42.961555, -124.203021	Broadbent, Oregon	134	37.50 %	#42
41.	48620	43.807628, -84.380417	Edenville, Michigan	38	37.50 %	#43
42.	17576	40.037195, -76.196760	Smoketown, Pennsylvania	119	37.03 %	#44
43.	75434	33.425661, -95.391682	Cunningham, Texas	68	36.84 %	#45
44.	43127	39.483094, -82.328398	Haydenville, Ohio	67	36.36 %	#46
45.	21105	39.711539, -76.649817	Maryland Line, Maryland	80	36.36 %	#47
46.	74103	36.156061, -95.994826	Tulsa, Oklahoma	2,173	36.12 %	#48
47.	26586	39.527554, -80.107692	Montana Mines, West Virginia	133	36.04 %	#49
48.	77046	29.733084, -95.430659	Houston, Texas	471	35.82 %	#50
49.	45642	39.046999, -83.054263	Jasper, Ohio	47	35.71 %	#51
50.	33945	26.582563, -82.213061	Pineland, Florida	79	35.71 %	#52
51.	83312	42.026182, -113.591375	Almo, Idaho	140	35.71 %	#53
52.	02163	42.366168, -71.122850	Boston, Massachusetts	1,191	35.50 %	#54
53.	83803	47.998381, -116.560140	Bayview, Idaho	296	35.48 %	#55
54.	02669	41.666646, -69.989702	West Chatham, Massachusetts	156	34.78 %	#56
55.	33109	25.761877, -80.140858	Miami Beach, Florida	467	33.81 %	#58
56.	21867	38.109905, -75.793137	Upper Fairmount, Maryland	118	33.33 %	#59
57.	24882	37.608860, -81.758767	Simon, West Virginia	112	33.33 %	#60
58.	65701	36.795787, -92.775526	Mc Clurg, Missouri	25	33.33 %	#61
59.	60661	41.882458, -87.643946	Chicago, Illinois	4,382	33.06 %	#62
60.	64858	36.901178, -94.530495	Racine, Missouri	157	32.72 %	#64
61.	07935	40.730048, -74.453965	Green Village, New Jersey	515	32.57 %	#65
62.	25909	37.839501, -81.196181	Prosperity, West Virginia	109	32.35 %	#66
63.	10005	40.705390, -74.008988	New York, New York	884	32.34 %	#67
64.	30346	33.925077, -84.338507	Atlanta, Georgia	1,452	32.30 %	#68
65.	35074	33.226706, -87.124209	Green Pond, Alabama	164	32.25 %	#69
66.	15492	40.118345, -79.764086	Wickhaven, Pennsylvania	56	32.00 %	#70
67.	18012	40.812250, -75.592194	Aquashicola, Pennsylvania	55	32.00 %	#71
68.	99513	61.214772, -149.885658	Anchorage, Alaska	268	31.91 %	#72
69.	41778	37.277860, -83.333801	Yerkes, Kentucky	224	31.70 %	#73
70.	46045	40.289407, -86.149993	Goldsmith, Indiana	55	31.70 %	#74
71.	94105	37.789168, -122.395009	San Francisco, California	2,058	31.64 %	#75
72.	02109	42.362653, -71.053804	Boston, Massachusetts	3,428	31.58 %	#76
73.	25165	38.141672, -81.660941	Racine, West Virginia	130	31.50 %	#77
74.	15072	40.139109, -79.856499	Pricedale, Pennsylvania	111	31.48 %	#78
75.	82731	44.792498, -105.255557	Weston, Wyoming	132	31.46 %	#79
76.	83287	42.022136, -111.458350	Fish Haven, Idaho	139	31.11 %	#80
77.	75201	32.787764, -96.800135	Dallas, Texas	3,348	30.64 %	#82
78.	98243	48.620140, -123.022775	Deer Harbor, Washington	141	30.35 %	#83
79.	92091	32.993560, -117.207121	Rancho Santa Fe, California	1,061	30.23 %	#84
80.	73022	35.619043, -97.978287	Concho, Oklahoma	92	30.18 %	#85
81.	60557	41.438362, -88.769875	Wedron, Illinois	101	30.15 %	#86
82.	99352	46.308815, -119.303713	Richland, Washington	38,753	30.09 %	#87
83.	39088	32.782690, -90.740711	Holly Bluff, Mississippi	142	30.00 %	#88
84.	07428	41.181315, -74.517986	Mc Afee, New Jersey	127	30.00 %	#89
85.	22924	38.001103, -78.722539	Batesville, Virginia	59	30.00 %	#90
86.	33001	24.817135, -80.806013	Long Key, Florida	544	29.93 %	#91
87.	36559	30.567897, -87.903136	Montrose, Alabama	411	29.93 %	#92
88.	20818	38.976812, -77.163057	Cabin John, Maryland	1,987	29.89 %	#93
89.	60614	41.922667, -87.652537	Chicago, Illinois	65,474	29.82 %	#94
90.	95463	39.182916, -123.552571	Navarro, California	142	29.78 %	#95
91.	20152	38.919133, -77.502434	Chantilly, Virginia	6,595	29.77 %	#96
92.	03291	43.179735, -71.141976	West Nottingham, New Hampshire	71	29.72 %	#97
93.	48724	43.464759, -83.919594	Carrollton, Michigan	308	29.56 %	#98
94.	80025	39.925508, -105.299486	Eldorado Springs, Colorado	197	29.54 %	#99
95.	10985	41.583519, -74.373188	Thompson Ridge, New York	57	29.41 %	#100
96.	22102	38.947955, -77.231920	Mc Lean, Virginia	18,607	29.31 %	#101
97.	02114	42.363175, -71.068646	Boston, Massachusetts	10,868	29.31 %	#102
98.	60657	41.938964, -87.656811	Chicago, Illinois	66,789	29.23 %	#103
99.	95497	38.696659, -123.436861	The Sea Ranch, California	751	29.15 %	#104
100.	20692	38.181015, -76.502084	Valley Lee, Maryland	453	29.07 %	#105

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