Zip Codes with the Highest Percentage of Population with Management and Professional Jobs in Wisconsin

Wisconsin Report:

Percentage of Population with Management and Professional Jobs

Percentage of Population with Management and Professional Jobs in the United States by Zip Code

Percentage of Population with Management and Professional Jobs in the United States by City

#	Zip Code	Location	City	Population	% Management Jobs	National Rank
1.	53705	43.074014, -89.460509	Madison, Wisconsin	30,225	65.46 %	#367
2.	53122	43.047520, -88.087029	Elm Grove, Wisconsin	6,369	63.89 %	#446
3.	53817	42.945723, -90.977407	Patch Grove, Wisconsin	75	62.96 %	#497
4.	53217	43.159843, -87.917801	Milwaukee, Wisconsin	29,479	61.31 %	#619
5.	53097	43.242048, -88.009823	Mequon, Wisconsin	4,752	58.83 %	#843
6.	53717	43.068664, -89.513863	Madison, Wisconsin	10,772	58.79 %	#854
7.	53092	43.230401, -87.950302	Thiensville, Wisconsin	20,765	56.21 %	#1,146
8.	53045	43.066104, -88.153259	Brookfield, Wisconsin	21,598	54.69 %	#1,355
9.	53211	43.083997, -87.884877	Milwaukee, Wisconsin	35,225	54.69 %	#1,356
10.	53711	43.045852, -89.461683	Madison, Wisconsin	42,476	52.19 %	#1,728
11.	53719	43.040171, -89.510073	Madison, Wisconsin	18,162	52.08 %	#1,741
12.	53044	43.744702, -87.782476	Kohler, Wisconsin	1,968	51.85 %	#1,777
13.	53202	43.046669, -87.896808	Milwaukee, Wisconsin	20,967	51.64 %	#1,816
14.	53203	43.038491, -87.916365	Milwaukee, Wisconsin	335	51.49 %	#1,845
15.	53562	43.120820, -89.531081	Middleton, Wisconsin	19,417	51.03 %	#1,915
16.	53213	43.049099, -88.001338	Milwaukee, Wisconsin	26,141	50.46 %	#2,022
17.	53718	43.090324, -89.275221	Madison, Wisconsin	3,457	49.75 %	#2,194
18.	53226	43.049005, -88.042230	Milwaukee, Wisconsin	18,835	49.13 %	#2,307
19.	53715	43.055610, -89.387808	Madison, Wisconsin	10,426	48.49 %	#2,457
20.	53005	43.062401, -88.098804	Brookfield, Wisconsin	20,231	48.06 %	#2,547
21.	54211	45.176638, -87.159609	Ephraim, Wisconsin	200	47.52 %	#2,680
22.	53593	42.985198, -89.579337	Verona, Wisconsin	12,778	47.11 %	#2,769
23.	53151	42.970273, -88.100563	New Berlin, Wisconsin	30,903	46.01 %	#3,028
24.	53012	43.314732, -88.034639	Cedarburg, Wisconsin	17,708	45.00 %	#3,324
25.	53191	42.570489, -88.548353	Williams Bay, Wisconsin	2,235	44.54 %	#3,479
26.	54531	45.752815, -89.774667	Hazelhurst, Wisconsin	1,459	44.47 %	#3,491
27.	53575	42.933063, -89.390551	Oregon, Wisconsin	13,702	44.43 %	#3,508
28.	53018	43.032849, -88.391525	Delafield, Wisconsin	7,857	44.32 %	#3,543
29.	53058	43.112242, -88.411504	Nashotah, Wisconsin	3,501	44.04 %	#3,652
30.	53129	42.936928, -87.999585	Greendale, Wisconsin	14,163	43.86 %	#3,698
31.	53072	43.081609, -88.270816	Pewaukee, Wisconsin	20,751	43.57 %	#3,801
32.	53130	42.941233, -88.049449	Hales Corners, Wisconsin	7,535	42.25 %	#4,235
33.	53703	43.079575, -89.378389	Madison, Wisconsin	26,715	41.79 %	#4,403
34.	54827	46.776772, -91.120291	Cornucopia, Wisconsin	211	41.75 %	#4,413
35.	54215	44.224313, -87.800121	Kellnersville, Wisconsin	33	41.66 %	#4,454
36.	53558	43.005425, -89.293616	Mc Farland, Wisconsin	9,025	41.58 %	#4,483
37.	54016	44.985346, -92.688140	Hudson, Wisconsin	22,548	41.58 %	#4,487
38.	53183	43.003522, -88.387794	Wales, Wisconsin	2,917	41.54 %	#4,507
39.	53598	43.210519, -89.338286	Windsor, Wisconsin	2,090	41.32 %	#4,582
40.	53704	43.137011, -89.336611	Madison, Wisconsin	43,176	41.23 %	#4,621
41.	53597	43.185831, -89.457830	Waunakee, Wisconsin	13,162	41.13 %	#4,667
42.	54169	44.176144, -88.273970	Sherwood, Wisconsin	1,605	40.33 %	#4,986
43.	53527	43.069309, -89.186986	Cottage Grove, Wisconsin	7,776	40.30 %	#4,998
44.	53029	43.146603, -88.340998	Hartland, Wisconsin	17,837	39.99 %	#5,146
45.	53132	42.883878, -88.011546	Franklin, Wisconsin	29,369	39.90 %	#5,181
46.	53051	43.142845, -88.119517	Menomonee Falls, Wisconsin	32,399	39.62 %	#5,310
47.	53125	42.545797, -88.561360	Fontana, Wisconsin	1,941	39.57 %	#5,341
48.	53590	43.199765, -89.209548	Sun Prairie, Wisconsin	26,031	39.21 %	#5,524
49.	54904	44.023400, -88.623839	Oshkosh, Wisconsin	17,963	39.19 %	#5,539
50.	53578	43.314782, -89.777202	Prairie Du Sac, Wisconsin	4,970	38.59 %	#5,859
51.	53188	43.019562, -88.294049	Waukesha, Wisconsin	33,729	38.48 %	#5,916
52.	53825	42.919231, -90.590239	Stitzer, Wisconsin	407	38.39 %	#5,967
53.	53574	42.819241, -89.650108	New Glarus, Wisconsin	3,297	38.34 %	#5,994
54.	53022	43.232227, -88.115855	Germantown, Wisconsin	17,507	38.25 %	#6,055
55.	53066	43.115869, -88.495464	Oconomowoc, Wisconsin	28,217	38.17 %	#6,092
56.	53189	42.959035, -88.280264	Waukesha, Wisconsin	21,328	38.12 %	#6,120
57.	53222	43.083209, -88.034939	Milwaukee, Wisconsin	24,889	38.00 %	#6,193
58.	53024	43.340207, -87.931502	Grafton, Wisconsin	14,507	37.95 %	#6,234
59.	53716	43.065163, -89.313783	Madison, Wisconsin	19,230	37.67 %	#6,383
60.	53069	43.110890, -88.435005	Okauchee, Wisconsin	598	37.65 %	#6,398
61.	53017	43.201013, -88.251366	Colgate, Wisconsin	4,886	37.51 %	#6,490
62.	54850	46.816315, -90.699699	La Pointe, Wisconsin	246	37.50 %	#6,496
63.	54942	44.294065, -88.547514	Greenville, Wisconsin	4,774	37.29 %	#6,628
64.	53228	42.969046, -88.043224	Milwaukee, Wisconsin	14,172	37.25 %	#6,654
65.	53544	42.877560, -89.905663	Hollandale, Wisconsin	804	37.20 %	#6,690
66.	54701	44.734491, -91.499743	Eau Claire, Wisconsin	35,852	36.98 %	#6,830
67.	53521	42.838105, -89.400302	Brooklyn, Wisconsin	2,917	36.91 %	#6,875
68.	53528	43.114694, -89.637100	Cross Plains, Wisconsin	5,064	36.86 %	#6,898
69.	53186	43.022155, -88.204676	Waukesha, Wisconsin	33,535	36.82 %	#6,928
70.	54891	46.695930, -90.999235	Washburn, Wisconsin	3,662	36.69 %	#7,007
71.	53508	42.865677, -89.573525	Belleville, Wisconsin	4,094	36.63 %	#7,046
72.	53406	42.734537, -87.864892	Racine, Wisconsin	22,431	36.59 %	#7,072
73.	54115	44.382413, -88.122406	De Pere, Wisconsin	30,808	36.55 %	#7,093
74.	54548	45.863599, -89.816704	Minocqua, Wisconsin	5,292	36.48 %	#7,145
75.	53507	42.995428, -89.896540	Barneveld, Wisconsin	1,981	36.45 %	#7,162
76.	53572	42.961103, -89.733649	Mount Horeb, Wisconsin	8,475	36.31 %	#7,252
77.	53818	42.745660, -90.492495	Platteville, Wisconsin	13,369	36.27 %	#7,273
78.	53089	43.144615, -88.233772	Sussex, Wisconsin	15,922	36.26 %	#7,278
79.	53033	43.234912, -88.238586	Hubertus, Wisconsin	5,302	36.20 %	#7,309
80.	53142	42.518443, -87.982634	Kenosha, Wisconsin	28,174	36.19 %	#7,316
81.	54301	44.480778, -88.016063	Green Bay, Wisconsin	25,857	36.19 %	#7,317
82.	54313	44.586363, -88.115165	Green Bay, Wisconsin	31,412	36.09 %	#7,382
83.	53118	42.962493, -88.491540	Dousman, Wisconsin	6,762	36.02 %	#7,429
84.	53402	42.791951, -87.825075	Racine, Wisconsin	33,114	36.01 %	#7,441
85.	53801	42.924819, -91.074574	Bagley, Wisconsin	785	35.93 %	#7,500
86.	54171	44.726014, -88.122044	Sobieski, Wisconsin	3,021	35.82 %	#7,570
87.	53713	43.033062, -89.395283	Madison, Wisconsin	22,951	35.66 %	#7,678
88.	53523	42.986257, -89.035238	Cambridge, Wisconsin	4,728	35.65 %	#7,688
89.	54022	44.847472, -92.606877	River Falls, Wisconsin	19,288	35.62 %	#7,705
90.	54212	45.109776, -87.209025	Fish Creek, Wisconsin	1,120	35.48 %	#7,808
91.	54082	45.068040, -92.749369	Houlton, Wisconsin	1,421	35.43 %	#7,835
92.	53969	43.496142, -89.308138	Wyocena, Wisconsin	121	35.38 %	#7,860
93.	54638	43.785651, -90.405027	Kendall, Wisconsin	1,498	35.34 %	#7,893
94.	53577	43.311608, -90.064349	Plain, Wisconsin	1,437	35.10 %	#8,067
95.	53588	43.188010, -90.077079	Spring Green, Wisconsin	3,818	35.00 %	#8,139
96.	53517	43.056983, -89.832329	Blue Mounds, Wisconsin	1,588	35.00 %	#8,140
97.	53589	42.923455, -89.206438	Stoughton, Wisconsin	19,371	34.97 %	#8,164
98.	54467	44.413919, -89.538901	Plover, Wisconsin	11,959	34.97 %	#8,166
99.	53516	42.795229, -89.853228	Blanchardville, Wisconsin	1,846	34.91 %	#8,195
100.	54911	44.282246, -88.380785	Appleton, Wisconsin	28,189	34.90 %	#8,202

1-100 out of 765 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