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

United States Report:

Percentage of Population employed in Information Technology

#	Zip Code	Location	City	Population	% In IT	National Rank
1.	23184	37.285793, -76.530620	Wicomico, Virginia	44	100.00 %	#1
2.	23358	37.645672, -75.863884	Hacksneck, Virginia	111	54.05 %	#2
3.	41142	38.277962, -83.072918	Grahn, Kentucky	95	33.92 %	#3
4.	40941	37.184317, -83.654115	Garrard, Kentucky	269	33.33 %	#4
5.	61324	41.769393, -89.413342	Eldena, Illinois	107	33.33 %	#5
6.	46102	39.996366, -86.619013	Advance, Indiana	40	29.62 %	#6
7.	16155	41.068219, -80.510814	Villa Maria, Pennsylvania	124	27.77 %	#7
8.	80426	39.865363, -106.949929	Burns, Colorado	89	27.77 %	#8
9.	22433	38.367057, -77.859386	Burr Hill, Virginia	105	26.31 %	#9
10.	18086	40.739162, -75.548368	Treichlers, Pennsylvania	228	25.84 %	#10
11.	12785	41.521037, -74.589126	Westbrookville, New York	186	25.83 %	#11
12.	25505	38.009362, -82.051976	Big Creek, West Virginia	146	25.00 %	#12
13.	54637	43.880448, -90.270617	Hustler, Wisconsin	42	25.00 %	#13
14.	98833	48.627386, -120.446510	Mazama, Washington	96	25.00 %	#14
15.	59217	47.593914, -104.263304	Crane, Montana	74	24.00 %	#16
16.	71820	33.792956, -94.229162	Alleene, Arkansas	22	24.00 %	#17
17.	90068	34.137411, -118.328915	Los Angeles, California	21,713	23.85 %	#18
18.	04672	44.432196, -68.283322	Salsbury Cove, Maine	32	23.80 %	#19
19.	21624	38.838522, -76.262319	Claiborne, Maryland	147	23.52 %	#20
20.	53195	42.513643, -88.484260	Zenda, Wisconsin	101	23.07 %	#21
21.	40983	37.344116, -83.741617	Sextons Creek, Kentucky	275	23.07 %	#22
22.	24861	37.366561, -81.357999	Maybeury, West Virginia	421	22.50 %	#23
23.	93554	35.405722, -117.773354	Randsburg, California	105	22.50 %	#24
24.	96773	19.932738, -155.177047	Ninole, Hawaii	182	22.22 %	#25
25.	37228	36.196291, -86.803583	Nashville, Tennessee	331	22.22 %	#26
26.	26667	38.267930, -80.980942	Drennen, West Virginia	62	22.22 %	#27
27.	20862	39.181230, -77.018806	Brinklow, Maryland	321	22.01 %	#28
28.	31039	32.592505, -84.391001	Howard, Georgia	58	21.73 %	#29
29.	25696	37.667571, -82.132087	Varney, West Virginia	140	21.62 %	#30
30.	21130	39.465161, -76.201154	Perryman, Maryland	128	21.15 %	#31
31.	91604	34.139082, -118.392750	Studio City, California	26,137	21.06 %	#32
32.	87713	36.169822, -105.361517	Chacon, New Mexico	296	20.58 %	#33
33.	90046	34.108455, -118.362081	Los Angeles, California	49,831	20.32 %	#34
34.	91602	34.151360, -118.364786	North Hollywood, California	16,978	20.15 %	#35
35.	88003	32.277763, -106.746824	Las Cruces, New Mexico	1,614	20.05 %	#36
36.	18230	40.924477, -75.942605	Junedale, Pennsylvania	48	20.00 %	#37
37.	16915	41.775629, -77.970678	Coudersport, Pennsylvania	5,987	20.00 %	#38
38.	15492	40.118345, -79.764086	Wickhaven, Pennsylvania	56	20.00 %	#39
39.	22729	38.374194, -78.017758	Mitchells, Virginia	78	19.78 %	#40
40.	24413	38.543510, -79.598066	Blue Grass, Virginia	202	19.70 %	#41
41.	90069	34.093781, -118.381061	West Hollywood, California	20,395	19.69 %	#42
42.	12507	42.008365, -73.918926	Barrytown, New York	108	19.67 %	#43
43.	41651	37.466306, -82.758767	Minnie, Kentucky	270	19.48 %	#44
44.	95537	40.726949, -124.217378	Fields Landing, California	213	19.44 %	#45
45.	90036	34.070291, -118.349191	Los Angeles, California	32,885	18.88 %	#46
46.	91759	34.231318, -117.662032	Mt Baldy, California	35	18.75 %	#47
47.	93603	36.645450, -118.924982	Badger, California	260	18.75 %	#48
48.	95625	38.349195, -121.902943	Elmira, California	153	18.36 %	#49
49.	46155	39.743581, -85.430448	Mays, Indiana	164	18.29 %	#50
50.	16677	40.777099, -78.286059	Sandy Ridge, Pennsylvania	329	18.18 %	#51
51.	73561	34.028346, -97.644441	Oscar, Oklahoma	15	18.18 %	#52
52.	02672	41.635751, -70.318777	West Hyannisport, Massachusetts	248	18.07 %	#53
53.	77960	28.653515, -97.252385	Fannin, Texas	125	18.03 %	#54
54.	94021	37.266388, -122.263080	Loma Mar, California	128	18.00 %	#55
55.	91505	34.174215, -118.345928	Burbank, California	29,235	17.95 %	#56
56.	88038	32.985159, -108.379233	Gila, New Mexico	132	17.89 %	#57
57.	64676	39.652594, -93.066557	Rothville, Missouri	272	17.79 %	#58
58.	41203	37.857871, -82.463956	Beauty, Kentucky	533	17.69 %	#59
59.	20148	39.003230, -77.516219	Ashburn, Virginia	3,840	17.66 %	#60
60.	99150	48.795844, -118.568901	Malo, Washington	275	17.64 %	#61
61.	25932	37.773753, -81.313401	Surveyor, West Virginia	427	17.64 %	#62
62.	41390	37.409407, -83.376913	Whick, Kentucky	81	17.64 %	#63
63.	12416	42.102658, -74.282783	Chichester, New York	87	17.64 %	#64
64.	18457	41.471966, -75.049326	Rowland, Pennsylvania	82	17.64 %	#65
65.	23423	37.530821, -75.693724	Quinby, Virginia	419	17.54 %	#66
66.	08561	40.249939, -74.578389	Windsor, New Jersey	314	17.39 %	#67
67.	96133	38.636052, -119.489162	Topaz, California	99	17.39 %	#68
68.	58343	48.288705, -99.728892	Knox, North Dakota	115	17.30 %	#69
69.	32138	29.729518, -81.939136	Grandin, Florida	192	17.10 %	#70
70.	55609	46.962484, -91.787322	Knife River, Minnesota	257	16.86 %	#71
71.	99675	62.985067, -156.117354	Takotna, Alaska	50	16.66 %	#72
72.	70550	30.516875, -92.183905	Lawtell, Louisiana	187	16.66 %	#73
73.	19009	40.137867, -75.066544	Bryn Athyn, Pennsylvania	54	16.66 %	#74
74.	80866	39.105052, -105.244358	Woodland Park, Colorado	111	16.66 %	#75
75.	90405	34.005439, -118.477507	Santa Monica, California	26,089	16.63 %	#76
76.	37201	36.165550, -86.777679	Nashville, Tennessee	1,167	16.48 %	#77
77.	90048	34.072945, -118.372670	Los Angeles, California	21,724	16.41 %	#78
78.	91506	34.169706, -118.323548	Burbank, California	18,530	16.38 %	#79
79.	24020	37.355539, -79.941947	Roanoke, Virginia	131	16.32 %	#80
80.	26586	39.527554, -80.107692	Montana Mines, West Virginia	133	16.27 %	#81
81.	10006	40.707970, -74.013610	New York, New York	1,447	16.05 %	#82
82.	75562	32.951611, -94.251567	Kildare, Texas	167	16.00 %	#83
83.	10014	40.733471, -74.007098	New York, New York	32,667	15.87 %	#84
84.	76041	32.237512, -96.842324	Forreston, Texas	366	15.81 %	#85
85.	10535	41.335169, -73.793919	Jefferson Valley, New York	416	15.81 %	#86
86.	90290	34.115192, -118.610170	Topanga, California	5,441	15.79 %	#87
87.	01467	42.484923, -71.625537	Still River, Massachusetts	230	15.47 %	#88
88.	91423	34.146957, -118.432138	Sherman Oaks, California	29,370	15.34 %	#89
89.	58775	47.710059, -101.861201	Roseglen, North Dakota	362	15.23 %	#90
90.	82210	41.748356, -104.759875	Chugwater, Wyoming	425	15.12 %	#91
91.	90401	34.015481, -118.493231	Santa Monica, California	5,201	14.95 %	#92
92.	90291	33.991782, -118.479229	Venice, California	31,018	14.90 %	#93
93.	90403	34.031529, -118.491156	Santa Monica, California	23,556	14.87 %	#94
94.	80448	39.400041, -105.580616	Grant, Colorado	228	14.77 %	#95
95.	10011	40.741844, -74.000711	New York, New York	46,669	14.63 %	#96
96.	64139	38.954778, -94.404843	Kansas City, Missouri	1,113	14.61 %	#97
97.	20812	38.968315, -77.143152	Glen Echo, Maryland	239	14.56 %	#98
98.	30346	33.925077, -84.338507	Atlanta, Georgia	1,452	14.55 %	#99
99.	91607	34.165783, -118.399795	Valley Village, California	27,439	14.53 %	#100
100.	90010	34.062125, -118.315709	Los Angeles, California	1,943	14.41 %	#101

1-100 out of 31,697 total

1 2 3 4 5 6 ... [ Last >> ] ... [ Next >> ]

% 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