Zip Codes with the Highest Percentage of Population with Sales & Office Jobs in Minnesota

Minnesota Report:

Percentage of Population with Sales & Office Jobs

Percentage of Population with Sales & Office Jobs in the United States by Zip Code

Percentage of Population with Sales & Office Jobs in the United States by City

#	Zip Code	Location	City	Population	% Sales Jobs	National Rank
1.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	57.14 %	#76
2.	55150	44.885619, -93.169985	Mendota, Minnesota	152	46.55 %	#190
3.	55950	43.732509, -92.963421	Lansing, Minnesota	152	44.64 %	#219
4.	56376	45.493374, -94.655155	Saint Martin, Minnesota	187	42.02 %	#285
5.	55988	44.025550, -91.774965	Stockton, Minnesota	226	40.15 %	#355
6.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	37.55 %	#507
7.	56328	45.955721, -94.514478	Flensburg, Minnesota	143	36.11 %	#648
8.	55796	47.944356, -91.786905	Winton, Minnesota	157	35.00 %	#814
9.	56687	47.501024, -94.994123	Wilton, Minnesota	127	34.78 %	#851
10.	55768	47.518899, -92.679712	Mountain Iron, Minnesota	2,768	34.70 %	#869
11.	56669	48.426275, -93.167915	Kabetogama, Minnesota	402	34.09 %	#1,012
12.	55756	46.357570, -92.608367	Kerrick, Minnesota	296	33.75 %	#1,103
13.	56287	44.462238, -95.318386	Seaforth, Minnesota	94	33.33 %	#1,249
14.	55423	44.877193, -93.281359	Minneapolis, Minnesota	34,594	33.13 %	#1,347
15.	55420	44.835969, -93.277176	Minneapolis, Minnesota	21,315	32.99 %	#1,409
16.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	32.92 %	#1,437
17.	55425	44.851564, -93.225631	Minneapolis, Minnesota	9,027	32.87 %	#1,453
18.	56442	46.682188, -94.062610	Crosslake, Minnesota	2,107	32.85 %	#1,463
19.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	32.66 %	#1,549
20.	55437	44.822972, -93.344341	Minneapolis, Minnesota	18,828	32.29 %	#1,749
21.	55128	44.987546, -92.963553	Saint Paul, Minnesota	27,309	32.12 %	#1,879
22.	55085	44.673833, -92.967957	Vermillion, Minnesota	237	32.11 %	#1,882
23.	56304	45.520908, -94.053607	Saint Cloud, Minnesota	15,703	32.08 %	#1,905
24.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	32.01 %	#1,948
25.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	31.81 %	#2,107
26.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	31.72 %	#2,165
27.	55337	44.778472, -93.272269	Burnsville, Minnesota	45,174	31.65 %	#2,222
28.	55436	44.907173, -93.375086	Minneapolis, Minnesota	12,607	31.53 %	#2,327
29.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	31.51 %	#2,342
30.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	31.48 %	#2,374
31.	56024	44.144861, -93.856989	Eagle Lake, Minnesota	2,239	31.46 %	#2,396
32.	55431	44.825914, -93.310998	Minneapolis, Minnesota	18,542	31.44 %	#2,413
33.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	31.41 %	#2,446
34.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	31.36 %	#2,482
35.	55075	44.887994, -93.043004	South Saint Paul, Minnesota	20,108	31.34 %	#2,496
36.	55119	44.942599, -93.005601	Saint Paul, Minnesota	37,778	31.30 %	#2,531
37.	55421	45.050555, -93.249955	Minneapolis, Minnesota	25,622	31.18 %	#2,610
38.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	31.09 %	#2,686
39.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	31.03 %	#2,748
40.	55118	44.894315, -93.100947	Saint Paul, Minnesota	27,270	30.98 %	#2,799
41.	55071	44.811097, -92.994716	Saint Paul Park, Minnesota	5,185	30.92 %	#2,853
42.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	30.86 %	#2,914
43.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	30.79 %	#2,962
44.	55356	44.995980, -93.600798	Long Lake, Minnesota	4,738	30.75 %	#3,009
45.	55438	44.826731, -93.379393	Minneapolis, Minnesota	17,425	30.73 %	#3,027
46.	56301	45.478378, -94.225600	Saint Cloud, Minnesota	29,030	30.71 %	#3,052
47.	56167	43.552196, -95.384891	Round Lake, Minnesota	878	30.62 %	#3,154
48.	55427	45.004595, -93.381351	Minneapolis, Minnesota	23,441	30.54 %	#3,253
49.	56063	44.206406, -93.816358	Madison Lake, Minnesota	2,462	30.51 %	#3,289
50.	56313	45.785999, -93.553512	Bock, Minnesota	52	30.43 %	#3,382
51.	56065	43.931416, -93.928471	Mapleton, Minnesota	2,740	30.30 %	#3,515
52.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	30.29 %	#3,528
53.	55424	44.905026, -93.344834	Minneapolis, Minnesota	9,821	30.26 %	#3,562
54.	56580	46.734263, -96.636178	Sabin, Minnesota	835	30.25 %	#3,582
55.	55305	44.956379, -93.428013	Hopkins, Minnesota	19,299	30.17 %	#3,664
56.	55428	45.064039, -93.383509	Minneapolis, Minnesota	29,933	30.14 %	#3,699
57.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	30.06 %	#3,791
58.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	29.97 %	#3,890
59.	55447	45.001581, -93.490856	Minneapolis, Minnesota	23,435	29.96 %	#3,898
60.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	29.92 %	#3,950
61.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	29.90 %	#3,975
62.	55810	46.756745, -92.269437	Duluth, Minnesota	8,608	29.86 %	#4,018
63.	56374	45.605126, -94.333471	Saint Joseph, Minnesota	10,062	29.81 %	#4,077
64.	55109	45.016061, -93.026441	Saint Paul, Minnesota	30,514	29.78 %	#4,115
65.	56655	46.971048, -94.178823	Longville, Minnesota	1,394	29.76 %	#4,139
66.	55941	43.738241, -91.360790	Hokah, Minnesota	1,075	29.59 %	#4,364
67.	55805	46.799943, -92.098704	Duluth, Minnesota	11,028	29.59 %	#4,365
68.	55812	46.811660, -92.073969	Duluth, Minnesota	10,085	29.56 %	#4,409
69.	56117	43.536430, -95.703811	Bigelow, Minnesota	396	29.50 %	#4,514
70.	56056	44.072797, -94.569663	La Salle, Minnesota	116	29.41 %	#4,636
71.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	29.40 %	#4,654
72.	55112	45.081866, -93.190493	Saint Paul, Minnesota	45,035	29.38 %	#4,690
73.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	29.37 %	#4,706
74.	55416	44.951183, -93.340989	Minneapolis, Minnesota	27,276	29.33 %	#4,766
75.	55055	44.882459, -92.993015	Newport, Minnesota	3,795	29.32 %	#4,773
76.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	29.30 %	#4,799
77.	55443	45.117609, -93.338118	Minneapolis, Minnesota	25,379	29.27 %	#4,841
78.	55807	46.736994, -92.173008	Duluth, Minnesota	10,302	29.24 %	#4,885
79.	55448	45.193911, -93.299952	Minneapolis, Minnesota	26,551	29.20 %	#4,938
80.	55049	44.176279, -93.230762	Medford, Minnesota	2,246	29.16 %	#4,992
81.	55432	45.096587, -93.254518	Minneapolis, Minnesota	30,576	29.07 %	#5,147
82.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	29.07 %	#5,151
83.	55433	45.160411, -93.314839	Minneapolis, Minnesota	34,714	29.05 %	#5,178
84.	55430	45.063112, -93.300411	Minneapolis, Minnesota	21,102	28.96 %	#5,325
85.	55376	45.204322, -93.684752	Saint Michael, Minnesota	7,675	28.91 %	#5,404
86.	55301	45.248102, -93.675550	Albertville, Minnesota	3,962	28.90 %	#5,420
87.	56529	46.884835, -96.686458	Dilworth, Minnesota	3,034	28.89 %	#5,439
88.	56560	46.841159, -96.737393	Moorhead, Minnesota	35,005	28.89 %	#5,443
89.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	28.84 %	#5,512
90.	55434	45.163716, -93.250487	Minneapolis, Minnesota	27,553	28.82 %	#5,543
91.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	28.82 %	#5,545
92.	55786	47.313624, -93.383585	Taconite, Minnesota	266	28.80 %	#5,577
93.	55014	45.161745, -93.127980	Circle Pines, Minnesota	26,384	28.78 %	#5,611
94.	55127	45.088675, -93.077568	Saint Paul, Minnesota	16,979	28.78 %	#5,612
95.	55331	44.894464, -93.602068	Excelsior, Minnesota	17,584	28.74 %	#5,669
96.	56003	44.209337, -94.092010	Mankato, Minnesota	12,769	28.73 %	#5,689
97.	56387	45.535948, -94.234446	Waite Park, Minnesota	6,603	28.73 %	#5,691
98.	55422	45.009275, -93.341105	Minneapolis, Minnesota	27,810	28.72 %	#5,705
99.	56048	44.094768, -93.713152	Janesville, Minnesota	3,952	28.72 %	#5,706
100.	55117	45.003562, -93.091280	Saint Paul, Minnesota	39,578	28.70 %	#5,747

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