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

Wisconsin 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.	54637	43.880448, -90.270617	Hustler, Wisconsin	42	25.00 %	#204
2.	53203	43.038491, -87.916365	Milwaukee, Wisconsin	335	21.26 %	#424
3.	53928	43.426783, -89.149606	Doylestown, Wisconsin	49	20.00 %	#568
4.	54834	45.742262, -91.476654	Edgewater, Wisconsin	15	16.66 %	#1,162
5.	53217	43.159843, -87.917801	Milwaukee, Wisconsin	29,479	16.60 %	#1,178
6.	53202	43.046669, -87.896808	Milwaukee, Wisconsin	20,967	15.98 %	#1,350
7.	53122	43.047520, -88.087029	Elm Grove, Wisconsin	6,369	15.52 %	#1,489
8.	53211	43.083997, -87.884877	Milwaukee, Wisconsin	35,225	15.51 %	#1,495
9.	53195	42.513643, -88.484260	Zenda, Wisconsin	101	15.38 %	#1,534
10.	53092	43.230401, -87.950302	Thiensville, Wisconsin	20,765	14.41 %	#1,895
11.	53717	43.068664, -89.513863	Madison, Wisconsin	10,772	13.43 %	#2,398
12.	53097	43.242048, -88.009823	Mequon, Wisconsin	4,752	13.02 %	#2,650
13.	53719	43.040171, -89.510073	Madison, Wisconsin	18,162	13.00 %	#2,671
14.	54211	45.176638, -87.159609	Ephraim, Wisconsin	200	12.87 %	#2,753
15.	53213	43.049099, -88.001338	Milwaukee, Wisconsin	26,141	12.68 %	#2,885
16.	53226	43.049005, -88.042230	Milwaukee, Wisconsin	18,835	12.47 %	#3,060
17.	53562	43.120820, -89.531081	Middleton, Wisconsin	19,417	12.38 %	#3,119
18.	53151	42.970273, -88.100563	New Berlin, Wisconsin	30,903	11.95 %	#3,496
19.	53715	43.055610, -89.387808	Madison, Wisconsin	10,426	11.72 %	#3,695
20.	53005	43.062401, -88.098804	Brookfield, Wisconsin	20,231	11.65 %	#3,765
21.	53130	42.941233, -88.049449	Hales Corners, Wisconsin	7,535	11.60 %	#3,807
22.	53012	43.314732, -88.034639	Cedarburg, Wisconsin	17,708	11.56 %	#3,854
23.	53204	43.018044, -87.926201	Milwaukee, Wisconsin	42,382	11.49 %	#3,935
24.	53705	43.074014, -89.460509	Madison, Wisconsin	30,225	10.97 %	#4,461
25.	53045	43.066104, -88.153259	Brookfield, Wisconsin	21,598	10.95 %	#4,479
26.	53711	43.045852, -89.461683	Madison, Wisconsin	42,476	10.70 %	#4,754
27.	53704	43.137011, -89.336611	Madison, Wisconsin	43,176	10.49 %	#4,974
28.	53212	43.076155, -87.908252	Milwaukee, Wisconsin	30,801	10.49 %	#4,980
29.	53072	43.081609, -88.270816	Pewaukee, Wisconsin	20,751	10.32 %	#5,205
30.	53593	42.985198, -89.579337	Verona, Wisconsin	12,778	10.03 %	#5,586
31.	54082	45.068040, -92.749369	Houlton, Wisconsin	1,421	10.01 %	#5,605
32.	53129	42.936928, -87.999585	Greendale, Wisconsin	14,163	10.00 %	#5,628
33.	54976	44.175716, -89.111570	Saxeville, Wisconsin	35	10.00 %	#5,630
34.	53713	43.033062, -89.395283	Madison, Wisconsin	22,951	9.96 %	#5,686
35.	53703	43.079575, -89.378389	Madison, Wisconsin	26,715	9.76 %	#5,991
36.	53058	43.112242, -88.411504	Nashotah, Wisconsin	3,501	9.74 %	#6,024
37.	53186	43.022155, -88.204676	Waukesha, Wisconsin	33,535	9.73 %	#6,041
38.	53718	43.090324, -89.275221	Madison, Wisconsin	3,457	9.72 %	#6,060
39.	53018	43.032849, -88.391525	Delafield, Wisconsin	7,857	9.68 %	#6,120
40.	53223	43.161027, -87.988111	Milwaukee, Wisconsin	29,822	9.68 %	#6,121
41.	53227	42.994804, -88.043128	Milwaukee, Wisconsin	23,949	9.52 %	#6,341
42.	54212	45.109776, -87.209025	Fish Creek, Wisconsin	1,120	9.49 %	#6,381
43.	53146	42.973705, -88.155385	New Berlin, Wisconsin	7,355	9.46 %	#6,425
44.	53208	43.047073, -87.967198	Milwaukee, Wisconsin	35,150	9.23 %	#6,814
45.	54876	45.806956, -91.503160	Stone Lake, Wisconsin	1,552	9.20 %	#6,870
46.	53714	43.100348, -89.311966	Madison, Wisconsin	16,424	9.15 %	#6,951
47.	53188	43.019562, -88.294049	Waukesha, Wisconsin	33,729	9.13 %	#6,977
48.	53125	42.545797, -88.561360	Fontana, Wisconsin	1,941	9.12 %	#6,991
49.	54645	43.315274, -90.928729	Mount Sterling, Wisconsin	70	9.09 %	#7,046
50.	54016	44.985346, -92.688140	Hudson, Wisconsin	22,548	9.04 %	#7,122
51.	53532	43.245457, -89.311566	De Forest, Wisconsin	11,448	8.98 %	#7,240
52.	53515	43.122614, -89.736221	Black Earth, Wisconsin	2,112	8.97 %	#7,259
53.	53207	42.973016, -87.902595	Milwaukee, Wisconsin	36,443	8.94 %	#7,319
54.	53089	43.144615, -88.233772	Sussex, Wisconsin	15,922	8.88 %	#7,423
55.	53029	43.146603, -88.340998	Hartland, Wisconsin	17,837	8.88 %	#7,425
56.	53024	43.340207, -87.931502	Grafton, Wisconsin	14,507	8.87 %	#7,448
57.	53104	42.545975, -88.023404	Bristol, Wisconsin	5,029	8.84 %	#7,499
58.	53051	43.142845, -88.119517	Menomonee Falls, Wisconsin	32,399	8.83 %	#7,526
59.	54113	44.264068, -88.309184	Combined Locks, Wisconsin	2,470	8.82 %	#7,548
60.	53069	43.110890, -88.435005	Okauchee, Wisconsin	598	8.80 %	#7,577
61.	54301	44.480778, -88.016063	Green Bay, Wisconsin	25,857	8.78 %	#7,611
62.	53022	43.232227, -88.115855	Germantown, Wisconsin	17,507	8.76 %	#7,651
63.	53716	43.065163, -89.313783	Madison, Wisconsin	19,230	8.71 %	#7,726
64.	54562	45.815961, -89.104185	Three Lakes, Wisconsin	2,063	8.71 %	#7,733
65.	54561	46.057055, -89.438087	Star Lake, Wisconsin	89	8.69 %	#7,765
66.	53033	43.234912, -88.238586	Hubertus, Wisconsin	5,302	8.63 %	#7,882
67.	53017	43.201013, -88.251366	Colgate, Wisconsin	4,886	8.59 %	#7,961
68.	53132	42.883878, -88.011546	Franklin, Wisconsin	29,369	8.53 %	#8,084
69.	53233	43.036845, -87.933551	Milwaukee, Wisconsin	15,485	8.48 %	#8,175
70.	53228	42.969046, -88.043224	Milwaukee, Wisconsin	14,172	8.47 %	#8,200
71.	53222	43.083209, -88.034939	Milwaukee, Wisconsin	24,889	8.46 %	#8,230
72.	53150	42.871352, -88.134318	Muskego, Wisconsin	21,631	8.44 %	#8,271
73.	53528	43.114694, -89.637100	Cross Plains, Wisconsin	5,064	8.33 %	#8,487
74.	53210	43.068910, -87.973688	Milwaukee, Wisconsin	30,509	8.30 %	#8,547
75.	54849	46.459825, -91.686067	Lake Nebagamon, Wisconsin	1,869	8.25 %	#8,646
76.	53118	42.962493, -88.491540	Dousman, Wisconsin	6,762	8.24 %	#8,672
77.	53706	43.075823, -89.409403	Madison, Wisconsin	5,293	8.24 %	#8,673
78.	53527	43.069309, -89.186986	Cottage Grove, Wisconsin	7,776	8.20 %	#8,759
79.	53209	43.129479, -87.943702	Milwaukee, Wisconsin	49,019	8.16 %	#8,834
80.	53215	42.999261, -87.943078	Milwaukee, Wisconsin	54,950	8.15 %	#8,855
81.	53076	43.270453, -88.215004	Richfield, Wisconsin	3,054	8.13 %	#8,901
82.	53560	43.192255, -89.737666	Mazomanie, Wisconsin	3,521	8.11 %	#8,948
83.	53103	42.881555, -88.212849	Big Bend, Wisconsin	3,941	8.09 %	#8,995
84.	53066	43.115869, -88.495464	Oconomowoc, Wisconsin	28,217	8.09 %	#8,996
85.	53404	42.754054, -87.811291	Racine, Wisconsin	16,949	8.09 %	#8,997
86.	53911	43.320109, -89.360277	Arlington, Wisconsin	1,021	8.09 %	#8,998
87.	53080	43.405793, -87.986330	Saukville, Wisconsin	5,787	8.06 %	#9,052
88.	53206	43.075167, -87.933692	Milwaukee, Wisconsin	32,868	8.00 %	#9,167
89.	53940	43.589676, -89.793022	Lake Delton, Wisconsin	44	8.00 %	#9,168
90.	54914	44.261862, -88.493919	Appleton, Wisconsin	31,459	7.94 %	#9,290
91.	53536	42.761448, -89.267911	Evansville, Wisconsin	7,139	7.81 %	#9,584
92.	53517	43.056983, -89.832329	Blue Mounds, Wisconsin	1,588	7.76 %	#9,714
93.	53214	43.020327, -88.012870	Milwaukee, Wisconsin	35,584	7.74 %	#9,763
94.	54531	45.752815, -89.774667	Hazelhurst, Wisconsin	1,459	7.74 %	#9,764
95.	53521	42.838105, -89.400302	Brooklyn, Wisconsin	2,917	7.74 %	#9,765
96.	53575	42.933063, -89.390551	Oregon, Wisconsin	13,702	7.70 %	#9,851
97.	53969	43.496142, -89.308138	Wyocena, Wisconsin	121	7.69 %	#9,880
98.	53578	43.314782, -89.777202	Prairie Du Sac, Wisconsin	4,970	7.67 %	#9,937
99.	53558	43.005425, -89.293616	Mc Farland, Wisconsin	9,025	7.60 %	#10,093
100.	53036	43.167912, -88.572256	Ixonia, Wisconsin	1,935	7.58 %	#10,136

1-100 out of 765 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