Zip Codes with the Highest Percentage of Population employed in Finance, Insurance & Real Estate in Minnesota

Minnesota Report:

Percentage of Population employed in Finance, Insurance & Real Estate

Percentage of Population employed in Finance, Insurance & Real Estate in the United States by Zip Code

Percentage of Population employed in Finance, Insurance & Real Estate in the United States by City

#	Zip Code	Location	City	Population	% In Finance	National Rank
1.	55402	44.975968, -93.271425	Minneapolis, Minnesota	176	40.00 %	#20
2.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	28.57 %	#53
3.	55150	44.885619, -93.169985	Mendota, Minnesota	152	20.68 %	#153
4.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	17.18 %	#304
5.	55439	44.873551, -93.373048	Minneapolis, Minnesota	8,884	15.77 %	#421
6.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	15.24 %	#478
7.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	14.99 %	#503
8.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	14.92 %	#519
9.	56158	43.640672, -96.061481	Magnolia, Minnesota	396	14.45 %	#606
10.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	14.07 %	#676
11.	55446	45.046438, -93.485395	Minneapolis, Minnesota	12,464	13.70 %	#742
12.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	13.57 %	#771
13.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	13.40 %	#808
14.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	13.22 %	#845
15.	56574	47.202120, -96.714289	Perley, Minnesota	342	13.20 %	#851
16.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	13.11 %	#873
17.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	12.96 %	#911
18.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	12.80 %	#951
19.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	12.77 %	#963
20.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	12.71 %	#982
21.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	12.63 %	#1,008
22.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	12.61 %	#1,010
23.	56448	46.766371, -94.119562	Fifty Lakes, Minnesota	393	12.60 %	#1,017
24.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	12.54 %	#1,037
25.	55431	44.825914, -93.310998	Minneapolis, Minnesota	18,542	12.52 %	#1,043
26.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	12.28 %	#1,132
27.	55427	45.004595, -93.381351	Minneapolis, Minnesota	23,441	12.14 %	#1,187
28.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	12.06 %	#1,212
29.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	11.94 %	#1,272
30.	55445	45.122441, -93.379184	Minneapolis, Minnesota	8,853	11.86 %	#1,317
31.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	11.81 %	#1,346
32.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	11.73 %	#1,378
33.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	11.72 %	#1,384
34.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	11.47 %	#1,506
35.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	11.44 %	#1,528
36.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	11.34 %	#1,583
37.	55417	44.902611, -93.231692	Minneapolis, Minnesota	25,117	11.33 %	#1,592
38.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	11.25 %	#1,642
39.	56229	44.594036, -95.716384	Cottonwood, Minnesota	1,836	11.20 %	#1,675
40.	56294	44.319920, -95.219743	Wanda, Minnesota	108	11.11 %	#1,724
41.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	11.07 %	#1,745
42.	55443	45.117609, -93.338118	Minneapolis, Minnesota	25,379	11.00 %	#1,798
43.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	10.96 %	#1,822
44.	55345	44.913313, -93.485581	Minnetonka, Minnesota	22,227	10.81 %	#1,914
45.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	10.81 %	#1,921
46.	55419	44.902370, -93.287659	Minneapolis, Minnesota	17,197	10.77 %	#1,942
47.	55337	44.778472, -93.272269	Burnsville, Minnesota	45,174	10.71 %	#1,991
48.	55121	44.845104, -93.144259	Saint Paul, Minnesota	7,714	10.60 %	#2,065
49.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	10.56 %	#2,106
50.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	10.55 %	#2,116
51.	55060	44.055769, -93.231453	Owatonna, Minnesota	26,230	10.52 %	#2,132
52.	55441	45.007993, -93.425314	Minneapolis, Minnesota	17,398	10.36 %	#2,240
53.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	10.34 %	#2,262
54.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	10.14 %	#2,395
55.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	10.14 %	#2,396
56.	55116	44.910719, -93.169581	Saint Paul, Minnesota	23,552	10.06 %	#2,461
57.	55118	44.894315, -93.100947	Saint Paul, Minnesota	27,270	10.04 %	#2,480
58.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	10.04 %	#2,485
59.	55373	45.089804, -93.732568	Rockford, Minnesota	4,363	10.03 %	#2,488
60.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	9.89 %	#2,626
61.	55420	44.835969, -93.277176	Minneapolis, Minnesota	21,315	9.78 %	#2,710
62.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	9.73 %	#2,762
63.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	9.65 %	#2,845
64.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	9.61 %	#2,890
65.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	9.57 %	#2,932
66.	55128	44.987546, -92.963553	Saint Paul, Minnesota	27,309	9.56 %	#2,941
67.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	9.53 %	#2,976
68.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	9.48 %	#3,034
69.	56637	47.608115, -93.829972	Talmoon, Minnesota	277	9.47 %	#3,042
70.	56657	47.573005, -93.634311	Marcell, Minnesota	263	9.37 %	#3,145
71.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	9.32 %	#3,210
72.	55423	44.877193, -93.281359	Minneapolis, Minnesota	34,594	9.30 %	#3,230
73.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	9.24 %	#3,305
74.	55113	45.012196, -93.151186	Saint Paul, Minnesota	38,278	9.19 %	#3,350
75.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	9.15 %	#3,396
76.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	9.09 %	#3,450
77.	56287	44.462238, -95.318386	Seaforth, Minnesota	94	9.09 %	#3,459
78.	55101	44.966917, -93.084634	Saint Paul, Minnesota	21,969	9.07 %	#3,481
79.	56253	44.959963, -94.872528	Lake Lillian, Minnesota	1,138	9.07 %	#3,482
80.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	9.00 %	#3,559
81.	55115	45.068987, -92.946580	Saint Paul, Minnesota	9,018	8.96 %	#3,613
82.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	8.85 %	#3,769
83.	55071	44.811097, -92.994716	Saint Paul Park, Minnesota	5,185	8.85 %	#3,770
84.	56255	44.397066, -95.419313	Lucan, Minnesota	443	8.78 %	#3,869
85.	56212	45.149778, -96.323435	Bellingham, Minnesota	706	8.77 %	#3,873
86.	56156	43.666604, -96.240790	Luverne, Minnesota	6,332	8.74 %	#3,915
87.	56655	46.971048, -94.178823	Longville, Minnesota	1,394	8.73 %	#3,925
88.	55428	45.064039, -93.383509	Minneapolis, Minnesota	29,933	8.73 %	#3,926
89.	55408	44.943815, -93.293867	Minneapolis, Minnesota	30,564	8.71 %	#3,956
90.	55412	45.025972, -93.300288	Minneapolis, Minnesota	25,010	8.70 %	#3,970
91.	56022	44.041711, -94.838968	Darfur, Minnesota	133	8.69 %	#3,984
92.	55359	45.009590, -93.698264	Maple Plain, Minnesota	5,612	8.64 %	#4,062
93.	55421	45.050555, -93.249955	Minneapolis, Minnesota	25,622	8.63 %	#4,079
94.	56550	47.273933, -96.743060	Hendrum, Minnesota	432	8.58 %	#4,148
95.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	8.54 %	#4,207
96.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	8.43 %	#4,375
97.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	8.42 %	#4,392
98.	55430	45.063112, -93.300411	Minneapolis, Minnesota	21,102	8.39 %	#4,441
99.	55119	44.942599, -93.005601	Saint Paul, Minnesota	37,778	8.35 %	#4,501
100.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	8.34 %	#4,514

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