Zip Codes with the Highest Percentage of Population employed in Arts, Recreation & Entertainment industry in Minnesota

Minnesota Report:

Percentage of Population employed in Arts, Recreation & Entertainment industry

Percentage of Population employed in Arts, Recreation & Entertainment industry in the United States by Zip Code

Percentage of Population employed in Arts, Recreation & Entertainment industry in the United States by City

#	Zip Code	Location	City	Population	% In Arts	National Rank
1.	56741	49.310491, -94.850100	Oak Island, Minnesota	31	63.15 %	#24
2.	55605	47.965288, -89.737130	Grand Portage, Minnesota	557	44.86 %	#89
3.	56450	46.246125, -93.820572	Garrison, Minnesota	1,015	34.11 %	#203
4.	56663	47.466429, -94.446625	Pennington, Minnesota	188	33.70 %	#210
5.	56671	47.895133, -95.305386	Redlake, Minnesota	1,884	31.63 %	#264
6.	55712	46.272648, -92.458257	Bruno, Minnesota	401	28.37 %	#369
7.	55613	47.650387, -90.947618	Schroeder, Minnesota	187	28.22 %	#373
8.	55615	47.705484, -90.793919	Tofte, Minnesota	246	28.05 %	#378
9.	56681	47.614325, -94.238498	Squaw Lake, Minnesota	291	27.47 %	#393
10.	56557	47.330885, -95.861050	Mahnomen, Minnesota	2,833	25.54 %	#490
11.	56294	44.319920, -95.219743	Wanda, Minnesota	108	25.39 %	#499
12.	55037	45.988377, -92.829264	Hinckley, Minnesota	4,428	25.37 %	#500
13.	56436	47.123381, -94.679564	Benedict, Minnesota	290	25.19 %	#512
14.	56386	46.018864, -93.514604	Wahkon, Minnesota	834	25.00 %	#526
15.	56270	44.570375, -94.987380	Morton, Minnesota	1,079	24.24 %	#576
16.	55603	47.503017, -91.191074	Finland, Minnesota	603	24.12 %	#582
17.	55601	47.259633, -91.298629	Beaver Bay, Minnesota	206	23.59 %	#609
18.	56633	47.328909, -94.536311	Cass Lake, Minnesota	4,323	23.02 %	#648
19.	55072	46.094837, -92.526656	Sandstone, Minnesota	4,050	22.80 %	#665
20.	55612	47.794989, -90.666598	Lutsen, Minnesota	510	22.79 %	#666
21.	56666	48.029608, -94.857469	Ponemah, Minnesota	1,029	22.77 %	#669
22.	55606	47.920026, -89.987848	Hovland, Minnesota	272	22.65 %	#681
23.	56056	44.072797, -94.569663	La Salle, Minnesota	116	22.05 %	#733
24.	56589	47.200624, -95.773015	Waubun, Minnesota	1,792	21.34 %	#802
25.	55787	46.695191, -93.099700	Tamarack, Minnesota	362	20.96 %	#846
26.	56711	49.354533, -95.088133	Angle Inlet, Minnesota	121	20.83 %	#856
27.	56673	48.741785, -95.130494	Roosevelt, Minnesota	786	20.51 %	#899
28.	55782	47.808371, -92.238694	Soudan, Minnesota	374	20.44 %	#908
29.	56359	46.042948, -93.693351	Onamia, Minnesota	3,524	20.13 %	#942
30.	56686	48.784049, -94.911697	Williams, Minnesota	1,016	19.62 %	#1,013
31.	56484	47.074838, -94.519761	Walker, Minnesota	3,508	19.09 %	#1,077
32.	55716	47.321452, -93.267196	Calumet, Minnesota	383	18.54 %	#1,163
33.	55607	47.627970, -91.457307	Isabella, Minnesota	126	18.18 %	#1,219
34.	56626	47.320538, -94.246106	Bena, Minnesota	434	18.13 %	#1,229
35.	56566	47.294965, -95.663175	Naytahwaush, Minnesota	367	18.00 %	#1,254
36.	55805	46.799943, -92.098704	Duluth, Minnesota	11,028	17.92 %	#1,266
37.	55404	44.962198, -93.262011	Minneapolis, Minnesota	27,282	17.88 %	#1,274
38.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	17.77 %	#1,295
39.	55977	43.550036, -92.650161	Taopi, Minnesota	197	17.69 %	#1,304
40.	55735	46.315510, -93.134297	Finlayson, Minnesota	2,034	17.67 %	#1,305
41.	56715	47.806540, -95.956157	Brooks, Minnesota	394	17.24 %	#1,376
42.	56680	47.659089, -93.957158	Spring Lake, Minnesota	80	17.07 %	#1,402
43.	55614	47.322731, -91.292883	Silver Bay, Minnesota	2,758	16.88 %	#1,437
44.	56623	48.602960, -94.466218	Baudette, Minnesota	3,350	16.32 %	#1,545
45.	55760	46.665848, -93.236995	Mcgregor, Minnesota	2,789	16.24 %	#1,572
46.	55604	47.957281, -90.615999	Grand Marais, Minnesota	3,384	16.22 %	#1,574
47.	56659	47.657721, -94.063841	Max, Minnesota	155	16.12 %	#1,599
48.	56670	47.850640, -94.887473	Redby, Minnesota	2,137	16.09 %	#1,613
49.	56456	46.663517, -94.324435	Jenkins, Minnesota	223	16.05 %	#1,622
50.	55771	48.116822, -92.904103	Orr, Minnesota	1,755	15.75 %	#1,704
51.	55704	46.219085, -92.751667	Askov, Minnesota	1,269	15.65 %	#1,727
52.	56441	46.577802, -93.981476	Crosby, Minnesota	3,320	15.55 %	#1,760
53.	55150	44.885619, -93.169985	Mendota, Minnesota	152	15.51 %	#1,773
54.	56177	43.874131, -96.252497	Trosky, Minnesota	123	15.51 %	#1,776
55.	55795	46.297871, -92.882916	Willow River, Minnesota	1,527	15.42 %	#1,798
56.	56592	47.538201, -96.009471	Winger, Minnesota	483	15.08 %	#1,908
57.	56342	46.184190, -93.369917	Isle, Minnesota	2,744	15.06 %	#1,913
58.	55413	44.999734, -93.238000	Minneapolis, Minnesota	12,082	14.95 %	#1,947
59.	56720	48.574103, -96.886583	Donaldson, Minnesota	69	14.81 %	#1,994
60.	55036	45.870777, -93.109172	Henriette, Minnesota	198	14.44 %	#2,117
61.	56672	47.054410, -94.051061	Remer, Minnesota	1,934	14.39 %	#2,129
62.	55802	46.756024, -92.104967	Duluth, Minnesota	2,452	14.38 %	#2,130
63.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	14.28 %	#2,171
64.	55408	44.943815, -93.293867	Minneapolis, Minnesota	30,564	14.27 %	#2,182
65.	55026	44.515936, -92.339584	Frontenac, Minnesota	387	14.07 %	#2,249
66.	55738	47.264329, -92.660294	Forbes, Minnesota	631	13.88 %	#2,328
67.	55414	44.978043, -93.223019	Minneapolis, Minnesota	24,126	13.87 %	#2,334
68.	55731	47.973323, -91.985645	Ely, Minnesota	6,264	13.86 %	#2,342
69.	56458	47.204662, -94.991786	Lake George, Minnesota	303	13.82 %	#2,351
70.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	13.63 %	#2,454
71.	55063	45.838574, -92.902898	Pine City, Minnesota	8,294	13.52 %	#2,503
72.	55007	45.972305, -93.097897	Brook Park, Minnesota	2,128	13.44 %	#2,533
73.	55790	47.826489, -92.319184	Tower, Minnesota	1,883	13.43 %	#2,540
74.	56444	46.435465, -93.890633	Deerwood, Minnesota	3,618	13.42 %	#2,549
75.	56384	45.805558, -94.573675	Upsala, Minnesota	346	13.37 %	#2,582
76.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	13.33 %	#2,604
77.	56356	45.628804, -94.753835	New Munich, Minnesota	146	13.33 %	#2,606
78.	56516	47.434774, -95.988880	Bejou, Minnesota	318	13.33 %	#2,607
79.	55812	46.811660, -92.073969	Duluth, Minnesota	10,085	13.27 %	#2,646
80.	55764	47.319702, -93.302124	Marble, Minnesota	491	13.26 %	#2,652
81.	55708	47.530124, -92.340387	Biwabik, Minnesota	895	13.10 %	#2,741
82.	56431	46.513115, -93.592183	Aitkin, Minnesota	8,347	13.08 %	#2,745
83.	55720	46.751077, -92.533403	Cloquet, Minnesota	15,814	13.04 %	#2,771
84.	56022	44.041711, -94.838968	Darfur, Minnesota	133	13.04 %	#2,772
85.	56521	47.011364, -95.871696	Callaway, Minnesota	818	12.83 %	#2,875
86.	56276	45.246430, -96.324208	Odessa, Minnesota	287	12.80 %	#2,890
87.	56472	46.583827, -94.360688	Pequot Lakes, Minnesota	5,048	12.71 %	#2,947
88.	55806	46.771670, -92.128933	Duluth, Minnesota	9,587	12.68 %	#2,962
89.	55405	44.971865, -93.302502	Minneapolis, Minnesota	15,909	12.64 %	#2,986
90.	56669	48.426275, -93.167915	Kabetogama, Minnesota	402	12.50 %	#3,067
91.	55718	46.620931, -92.486403	Carlton, Minnesota	2,772	12.47 %	#3,095
92.	56401	46.307929, -94.093558	Brainerd, Minnesota	27,604	12.42 %	#3,120
93.	55783	46.410144, -92.981361	Sturgeon Lake, Minnesota	1,946	12.39 %	#3,135
94.	56447	46.747619, -93.910176	Emily, Minnesota	1,026	12.37 %	#3,163
95.	56283	44.527995, -95.138830	Redwood Falls, Minnesota	7,099	12.36 %	#3,165
96.	56140	43.898613, -96.352976	Ihlen, Minnesota	131	12.32 %	#3,195
97.	56662	46.862191, -93.852993	Outing, Minnesota	532	12.08 %	#3,347
98.	55407	44.935036, -93.253029	Minneapolis, Minnesota	37,879	12.02 %	#3,389
99.	55786	47.313624, -93.383585	Taconite, Minnesota	266	12.00 %	#3,413
100.	56350	46.305029, -93.230407	Mc Grath, Minnesota	329	11.85 %	#3,519

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