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

Minnesota Report:

Percentage of Population employed in Professional & Scientific industry

Percentage of Population employed in Professional & Scientific industry in the United States by Zip Code

Percentage of Population employed in Professional & Scientific industry in the United States by City

#	Zip Code	Location	City	Population	% In Science	National Rank
1.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	22.66 %	#319
2.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	20.99 %	#456
3.	56688	47.805467, -93.839563	Wirt, Minnesota	98	20.93 %	#465
4.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	20.44 %	#507
5.	56434	46.379653, -94.925494	Aldrich, Minnesota	84	20.00 %	#567
6.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	19.98 %	#576
7.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	19.52 %	#632
8.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	19.16 %	#683
9.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	19.07 %	#695
10.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	18.89 %	#715
11.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	18.72 %	#747
12.	55114	44.966690, -93.195072	Saint Paul, Minnesota	1,309	18.65 %	#761
13.	55402	44.975968, -93.271425	Minneapolis, Minnesota	176	17.64 %	#943
14.	55419	44.902370, -93.287659	Minneapolis, Minnesota	17,197	17.59 %	#956
15.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	17.51 %	#973
16.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	17.34 %	#1,010
17.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	17.31 %	#1,014
18.	55446	45.046438, -93.485395	Minneapolis, Minnesota	12,464	16.94 %	#1,095
19.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	16.92 %	#1,103
20.	55408	44.943815, -93.293867	Minneapolis, Minnesota	30,564	16.85 %	#1,121
21.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	16.84 %	#1,122
22.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	16.48 %	#1,208
23.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	16.17 %	#1,290
24.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	16.10 %	#1,314
25.	55950	43.732509, -92.963421	Lansing, Minnesota	152	16.07 %	#1,323
26.	55441	45.007993, -93.425314	Minneapolis, Minnesota	17,398	15.25 %	#1,580
27.	55409	44.923939, -93.283436	Minneapolis, Minnesota	21,100	15.23 %	#1,588
28.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	15.12 %	#1,636
29.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	14.88 %	#1,711
30.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	14.54 %	#1,842
31.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	14.40 %	#1,902
32.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	14.33 %	#1,929
33.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	14.22 %	#1,983
34.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	14.14 %	#2,021
35.	55431	44.825914, -93.310998	Minneapolis, Minnesota	18,542	13.93 %	#2,136
36.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	13.87 %	#2,166
37.	55609	46.962484, -91.787322	Knife River, Minnesota	257	13.85 %	#2,171
38.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	13.85 %	#2,173
39.	55108	44.980341, -93.174961	Saint Paul, Minnesota	15,914	13.71 %	#2,243
40.	55102	44.933307, -93.121401	Saint Paul, Minnesota	17,727	13.58 %	#2,309
41.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	13.51 %	#2,346
42.	55359	45.009590, -93.698264	Maple Plain, Minnesota	5,612	13.51 %	#2,354
43.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	13.45 %	#2,387
44.	55047	45.200429, -92.820729	Marine On Saint Croix, Minnesota	2,624	13.39 %	#2,419
45.	55121	44.845104, -93.144259	Saint Paul, Minnesota	7,714	13.26 %	#2,493
46.	55417	44.902611, -93.231692	Minneapolis, Minnesota	25,117	13.18 %	#2,560
47.	55103	44.964258, -93.122627	Saint Paul, Minnesota	14,728	13.18 %	#2,561
48.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	13.15 %	#2,573
49.	55612	47.794989, -90.666598	Lutsen, Minnesota	510	12.86 %	#2,764
50.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	12.69 %	#2,875
51.	55042	44.987826, -92.909592	Lake Elmo, Minnesota	7,583	12.58 %	#2,962
52.	56328	45.955721, -94.514478	Flensburg, Minnesota	143	12.50 %	#3,029
53.	55427	45.004595, -93.381351	Minneapolis, Minnesota	23,441	12.42 %	#3,097
54.	55104	44.954158, -93.159601	Saint Paul, Minnesota	46,133	12.38 %	#3,120
55.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	12.27 %	#3,221
56.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	12.27 %	#3,222
57.	55404	44.962198, -93.262011	Minneapolis, Minnesota	27,282	12.25 %	#3,236
58.	55301	45.248102, -93.675550	Albertville, Minnesota	3,962	12.20 %	#3,277
59.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	12.20 %	#3,282
60.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	12.19 %	#3,286
61.	55101	44.966917, -93.084634	Saint Paul, Minnesota	21,969	12.17 %	#3,307
62.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	12.11 %	#3,358
63.	55113	45.012196, -93.151186	Saint Paul, Minnesota	38,278	12.08 %	#3,376
64.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	12.08 %	#3,377
65.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	12.02 %	#3,435
66.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	11.99 %	#3,457
67.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	11.94 %	#3,510
68.	56641	47.222364, -94.252758	Federal Dam, Minnesota	338	11.88 %	#3,565
69.	55407	44.935036, -93.253029	Minneapolis, Minnesota	37,879	11.85 %	#3,580
70.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	11.70 %	#3,712
71.	55339	44.724481, -93.939557	Hamburg, Minnesota	960	11.64 %	#3,768
72.	55413	44.999734, -93.238000	Minneapolis, Minnesota	12,082	11.64 %	#3,770
73.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	11.63 %	#3,779
74.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	11.52 %	#3,889
75.	55420	44.835969, -93.277176	Minneapolis, Minnesota	21,315	11.51 %	#3,902
76.	55423	44.877193, -93.281359	Minneapolis, Minnesota	34,594	11.46 %	#3,958
77.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	11.44 %	#3,989
78.	55116	44.910719, -93.169581	Saint Paul, Minnesota	23,552	11.41 %	#4,019
79.	55387	44.868884, -93.786996	Waconia, Minnesota	8,595	11.29 %	#4,135
80.	55055	44.882459, -92.993015	Newport, Minnesota	3,795	11.29 %	#4,136
81.	55328	45.033414, -93.814206	Delano, Minnesota	7,332	11.24 %	#4,191
82.	55406	44.938334, -93.221638	Minneapolis, Minnesota	33,033	11.23 %	#4,204
83.	55418	45.021310, -93.244136	Minneapolis, Minnesota	30,795	11.18 %	#4,252
84.	55384	44.934963, -93.636686	Spring Park, Minnesota	1,473	10.95 %	#4,485
85.	55337	44.778472, -93.272269	Burnsville, Minnesota	45,174	10.94 %	#4,488
86.	55412	45.025972, -93.300288	Minneapolis, Minnesota	25,010	10.93 %	#4,505
87.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	10.92 %	#4,510
88.	55318	44.810762, -93.636185	Chaska, Minnesota	19,232	10.83 %	#4,603
89.	55118	44.894315, -93.100947	Saint Paul, Minnesota	27,270	10.78 %	#4,664
90.	55375	44.908752, -93.752716	Saint Bonifacius, Minnesota	1,907	10.76 %	#4,693
91.	55414	44.978043, -93.223019	Minneapolis, Minnesota	24,126	10.68 %	#4,771
92.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	10.64 %	#4,810
93.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	10.58 %	#4,862
94.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	10.55 %	#4,891
95.	56219	45.607652, -96.818280	Browns Valley, Minnesota	1,331	10.47 %	#4,998
96.	55013	45.356996, -92.896587	Chisago City, Minnesota	5,000	10.43 %	#5,045
97.	55014	45.161745, -93.127980	Circle Pines, Minnesota	26,384	10.43 %	#5,046
98.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	10.42 %	#5,060
99.	55390	45.069262, -93.981513	Waverly, Minnesota	1,790	10.41 %	#5,076
100.	55082	45.069391, -92.833860	Stillwater, Minnesota	30,311	10.39 %	#5,109

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