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

Minnesota Report:

Percentage of Population employed in Information Technology

Percentage of Population employed in Information Technology in the United States by Zip Code

Percentage of Population employed in Information Technology in the United States by City

#	Zip Code	Location	City	Population	% In IT	National Rank
1.	55609	46.962484, -91.787322	Knife River, Minnesota	257	16.86 %	#71
2.	56221	45.563606, -96.198145	Chokio, Minnesota	1,024	7.22 %	#755
3.	56384	45.805558, -94.573675	Upsala, Minnesota	346	7.00 %	#823
4.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	6.66 %	#960
5.	56535	47.677583, -96.041858	Erskine, Minnesota	1,340	6.54 %	#1,015
6.	56227	45.290841, -96.168828	Correll, Minnesota	231	6.48 %	#1,039
7.	56556	47.662952, -95.879974	Mcintosh, Minnesota	1,159	5.92 %	#1,339
8.	55607	47.627970, -91.457307	Isabella, Minnesota	126	5.68 %	#1,508
9.	56548	47.366590, -96.766388	Halstad, Minnesota	868	5.63 %	#1,538
10.	56568	47.535231, -96.783178	Nielsville, Minnesota	151	5.33 %	#1,794
11.	55943	43.782867, -91.582769	Houston, Minnesota	3,002	5.24 %	#1,888
12.	55150	44.885619, -93.169985	Mendota, Minnesota	152	5.17 %	#1,975
13.	56091	43.914434, -93.686188	Waldorf, Minnesota	374	5.00 %	#2,175
14.	56093	44.058570, -93.519385	Waseca, Minnesota	12,927	4.91 %	#2,281
15.	55805	46.799943, -92.098704	Duluth, Minnesota	11,028	4.79 %	#2,431
16.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	4.73 %	#2,506
17.	55988	44.025550, -91.774965	Stockton, Minnesota	226	4.72 %	#2,519
18.	56447	46.747619, -93.910176	Emily, Minnesota	1,026	4.70 %	#2,556
19.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	4.59 %	#2,724
20.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	4.56 %	#2,768
21.	55116	44.910719, -93.169581	Saint Paul, Minnesota	23,552	4.55 %	#2,782
22.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	4.49 %	#2,881
23.	56472	46.583827, -94.360688	Pequot Lakes, Minnesota	5,048	4.46 %	#2,930
24.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	4.45 %	#2,943
25.	56573	46.618769, -95.548277	Perham, Minnesota	5,706	4.29 %	#3,236
26.	55802	46.756024, -92.104967	Duluth, Minnesota	2,452	4.26 %	#3,293
27.	56127	43.548714, -94.780895	Dunnell, Minnesota	446	4.22 %	#3,395
28.	56637	47.608115, -93.829972	Talmoon, Minnesota	277	4.21 %	#3,416
29.	56448	46.766371, -94.119562	Fifty Lakes, Minnesota	393	4.20 %	#3,437
30.	55409	44.923939, -93.283436	Minneapolis, Minnesota	21,100	4.19 %	#3,457
31.	55408	44.943815, -93.293867	Minneapolis, Minnesota	30,564	4.16 %	#3,512
32.	56536	47.046794, -96.522969	Felton, Minnesota	570	4.15 %	#3,534
33.	56440	46.141951, -94.955084	Clarissa, Minnesota	1,334	4.15 %	#3,535
34.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	4.15 %	#3,538
35.	56347	45.975864, -94.862938	Long Prairie, Minnesota	6,456	4.11 %	#3,617
36.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	4.10 %	#3,637
37.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	4.09 %	#3,659
38.	55384	44.934963, -93.636686	Spring Park, Minnesota	1,473	4.07 %	#3,715
39.	56732	48.565307, -96.475876	Karlstad, Minnesota	1,224	4.07 %	#3,717
40.	56141	43.877080, -95.804580	Iona, Minnesota	400	4.02 %	#3,833
41.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	4.01 %	#3,860
42.	56354	46.071016, -95.255064	Miltona, Minnesota	1,157	4.00 %	#3,885
43.	56315	45.980177, -95.594062	Brandon, Minnesota	1,534	3.99 %	#3,911
44.	56651	47.454073, -95.616397	Lengby, Minnesota	521	3.98 %	#3,932
45.	56349	45.718238, -95.520136	Lowry, Minnesota	688	3.97 %	#3,957
46.	56207	45.505918, -96.066571	Alberta, Minnesota	352	3.94 %	#4,034
47.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	3.94 %	#4,035
48.	55763	47.327944, -92.205981	Makinen, Minnesota	591	3.92 %	#4,082
49.	56592	47.538201, -96.009471	Winger, Minnesota	483	3.91 %	#4,109
50.	55606	47.920026, -89.987848	Hovland, Minnesota	272	3.90 %	#4,126
51.	55782	47.808371, -92.238694	Soudan, Minnesota	374	3.86 %	#4,242
52.	55425	44.851564, -93.225631	Minneapolis, Minnesota	9,027	3.86 %	#4,244
53.	56528	46.535179, -95.802457	Dent, Minnesota	1,658	3.86 %	#4,250
54.	55987	43.971432, -91.653488	Winona, Minnesota	34,771	3.85 %	#4,270
55.	55812	46.811660, -92.073969	Duluth, Minnesota	10,085	3.85 %	#4,271
56.	56062	44.046146, -94.418133	Madelia, Minnesota	3,328	3.84 %	#4,306
57.	56586	46.318269, -95.830900	Underwood, Minnesota	1,770	3.82 %	#4,377
58.	55102	44.933307, -93.121401	Saint Paul, Minnesota	17,727	3.81 %	#4,396
59.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	3.79 %	#4,445
60.	55406	44.938334, -93.221638	Minneapolis, Minnesota	33,033	3.79 %	#4,446
61.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	3.78 %	#4,473
62.	56588	46.209154, -95.516561	Vining, Minnesota	459	3.75 %	#4,561
63.	55811	46.843194, -92.226430	Duluth, Minnesota	25,294	3.69 %	#4,733
64.	56456	46.663517, -94.324435	Jenkins, Minnesota	223	3.64 %	#4,881
65.	55810	46.756745, -92.269437	Duluth, Minnesota	8,608	3.63 %	#4,912
66.	55954	43.557061, -91.780106	Mabel, Minnesota	1,522	3.63 %	#4,914
67.	55419	44.902370, -93.287659	Minneapolis, Minnesota	17,197	3.60 %	#5,015
68.	56543	46.291177, -96.332239	Foxhome, Minnesota	289	3.59 %	#5,044
69.	55001	44.898776, -92.819108	Afton, Minnesota	2,664	3.58 %	#5,076
70.	56173	43.525151, -96.241181	Steen, Minnesota	429	3.57 %	#5,121
71.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	3.56 %	#5,147
72.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	3.55 %	#5,178
73.	55025	45.256176, -93.029098	Forest Lake, Minnesota	19,659	3.54 %	#5,204
74.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	3.50 %	#5,339
75.	56228	44.951236, -94.685179	Cosmos, Minnesota	1,048	3.50 %	#5,344
76.	55752	46.968400, -93.209340	Jacobson, Minnesota	390	3.48 %	#5,404
77.	55430	45.063112, -93.300411	Minneapolis, Minnesota	21,102	3.48 %	#5,405
78.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	3.46 %	#5,477
79.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	3.46 %	#5,478
80.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	3.46 %	#5,479
81.	55104	44.954158, -93.159601	Saint Paul, Minnesota	46,133	3.45 %	#5,520
82.	56758	48.470412, -96.541140	Strandquist, Minnesota	425	3.44 %	#5,554
83.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	3.43 %	#5,593
84.	55417	44.902611, -93.231692	Minneapolis, Minnesota	25,117	3.43 %	#5,594
85.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	3.42 %	#5,636
86.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	3.41 %	#5,667
87.	55108	44.980341, -93.174961	Saint Paul, Minnesota	15,914	3.39 %	#5,738
88.	55973	43.804299, -92.777916	Sargeant, Minnesota	302	3.37 %	#5,805
89.	56332	45.967062, -95.508022	Garfield, Minnesota	1,189	3.37 %	#5,806
90.	56339	45.824849, -95.810949	Hoffman, Minnesota	1,130	3.37 %	#5,807
91.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	3.37 %	#5,810
92.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	3.35 %	#5,887
93.	55109	45.016061, -93.026441	Saint Paul, Minnesota	30,514	3.34 %	#5,919
94.	56072	43.899229, -93.517081	New Richland, Minnesota	2,508	3.34 %	#5,927
95.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	3.32 %	#5,997
96.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	3.31 %	#6,029
97.	55414	44.978043, -93.223019	Minneapolis, Minnesota	24,126	3.31 %	#6,036
98.	55387	44.868884, -93.786996	Waconia, Minnesota	8,595	3.27 %	#6,191
99.	56474	46.704216, -94.450505	Pine River, Minnesota	3,792	3.26 %	#6,224
100.	55119	44.942599, -93.005601	Saint Paul, Minnesota	37,778	3.25 %	#6,263

1-100 out of 862 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