Zip Codes with the Highest Percentage of Population employed in Manufacturing in Minnesota

Minnesota Report:

Percentage of Population employed in Manufacturing

Percentage of Population employed in Manufacturing in the United States by Zip Code

Percentage of Population employed in Manufacturing in the United States by City

#	Zip Code	Location	City	Population	% In Manufacturing	National Rank
1.	56763	48.778425, -95.275566	Warroad, Minnesota	5,276	53.83 %	#94
2.	56756	48.868116, -95.500480	Salol, Minnesota	878	52.00 %	#115
3.	56761	48.595533, -95.675823	Wannaska, Minnesota	569	45.45 %	#280
4.	56673	48.741785, -95.130494	Roosevelt, Minnesota	786	44.41 %	#322
5.	56714	48.758349, -96.002405	Badger, Minnesota	1,428	41.11 %	#532
6.	56751	48.809822, -95.733307	Roseau, Minnesota	5,762	38.41 %	#777
7.	56727	48.331617, -95.303599	Grygla, Minnesota	787	38.15 %	#807
8.	56759	48.550917, -96.037479	Strathcona, Minnesota	288	38.06 %	#823
9.	55381	44.930963, -94.199979	Silver Lake, Minnesota	1,887	37.52 %	#882
10.	55385	44.736080, -94.486491	Stewart, Minnesota	1,359	36.43 %	#1,045
11.	56654	48.511415, -93.947764	Loman, Minnesota	130	36.20 %	#1,077
12.	56724	48.454879, -95.721459	Gatzke, Minnesota	226	34.73 %	#1,376
13.	55324	45.052822, -94.417646	Darwin, Minnesota	1,227	34.29 %	#1,481
14.	55350	44.894313, -94.398785	Hutchinson, Minnesota	17,295	33.85 %	#1,582
15.	55959	44.080236, -91.738376	Minnesota City, Minnesota	2,191	33.81 %	#1,593
16.	55785	46.864991, -93.714226	Swatara, Minnesota	237	33.33 %	#1,701
17.	56356	45.628804, -94.753835	New Munich, Minnesota	146	33.33 %	#1,708
18.	56755	48.954110, -97.176447	Saint Vincent, Minnesota	170	32.91 %	#1,783
19.	55312	44.706340, -94.351290	Brownton, Minnesota	1,636	32.85 %	#1,794
20.	56127	43.548714, -94.780895	Dunnell, Minnesota	446	32.74 %	#1,833
21.	55314	44.779020, -94.589725	Buffalo Lake, Minnesota	1,362	32.21 %	#1,993
22.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	32.00 %	#2,052
23.	56726	48.698635, -96.227954	Greenbush, Minnesota	1,714	31.94 %	#2,074
24.	55395	44.951833, -94.067714	Winsted, Minnesota	2,636	31.50 %	#2,189
25.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	31.37 %	#2,229
26.	56093	44.058570, -93.519385	Waseca, Minnesota	12,927	31.28 %	#2,266
27.	56058	44.448969, -93.913545	Le Sueur, Minnesota	5,903	31.22 %	#2,294
28.	56089	43.563886, -93.438467	Twin Lakes, Minnesota	225	31.20 %	#2,296
29.	55336	44.783927, -94.178456	Glencoe, Minnesota	8,078	31.06 %	#2,344
30.	56177	43.874131, -96.252497	Trosky, Minnesota	123	31.03 %	#2,355
31.	56044	44.564804, -93.956605	Henderson, Minnesota	2,037	31.01 %	#2,364
32.	56336	45.832098, -94.782367	Grey Eagle, Minnesota	1,734	30.87 %	#2,407
33.	55049	44.176279, -93.230762	Medford, Minnesota	2,246	30.66 %	#2,475
34.	56313	45.785999, -93.553512	Bock, Minnesota	52	30.43 %	#2,571
35.	56020	43.607381, -93.538328	Conger, Minnesota	124	30.13 %	#2,687
36.	56369	45.468603, -94.335020	Rockville, Minnesota	416	30.00 %	#2,746
37.	56120	43.960008, -94.794802	Butterfield, Minnesota	1,193	29.75 %	#2,858
38.	55334	44.521530, -94.215248	Gaylord, Minnesota	2,975	29.67 %	#2,889
39.	56686	48.784049, -94.911697	Williams, Minnesota	1,016	29.55 %	#2,939
40.	56228	44.951236, -94.685179	Cosmos, Minnesota	1,048	29.48 %	#2,969
41.	56737	48.449219, -96.053731	Middle River, Minnesota	870	29.36 %	#3,027
42.	55355	45.098957, -94.535400	Litchfield, Minnesota	9,613	29.26 %	#3,061
43.	56081	43.986711, -94.632944	Saint James, Minnesota	6,314	29.23 %	#3,071
44.	56371	45.437846, -94.629864	Roscoe, Minnesota	108	29.03 %	#3,141
45.	55370	44.777180, -94.036783	Plato, Minnesota	787	28.95 %	#3,163
46.	56729	48.645080, -96.548732	Halma, Minnesota	187	28.84 %	#3,217
47.	55026	44.515936, -92.339584	Frontenac, Minnesota	387	28.64 %	#3,300
48.	55060	44.055769, -93.231453	Owatonna, Minnesota	26,230	28.49 %	#3,371
49.	55354	44.887891, -94.081690	Lester Prairie, Minnesota	2,303	28.43 %	#3,404
50.	55396	44.548417, -94.371892	Winthrop, Minnesota	2,265	28.19 %	#3,495
51.	55397	44.826625, -93.909063	Young America, Minnesota	2,565	28.12 %	#3,520
52.	56078	44.005583, -93.772122	Pemberton, Minnesota	543	28.07 %	#3,541
53.	56357	45.701947, -93.799926	Oak Park, Minnesota	822	27.89 %	#3,623
54.	55371	45.578592, -93.590776	Princeton, Minnesota	12,400	27.81 %	#3,659
55.	55325	45.092093, -94.319218	Dassel, Minnesota	4,112	27.79 %	#3,665
56.	56243	45.170240, -94.686488	Grove City, Minnesota	1,752	27.77 %	#3,675
57.	56029	43.530047, -93.522279	Emmons, Minnesota	758	27.76 %	#3,685
58.	56069	44.412094, -93.542436	Montgomery, Minnesota	4,379	27.53 %	#3,799
59.	56007	43.660594, -93.356924	Albert Lea, Minnesota	21,525	27.50 %	#3,817
60.	55398	45.457476, -93.576397	Zimmerman, Minnesota	10,172	27.28 %	#3,933
61.	56237	44.616613, -95.433459	Echo, Minnesota	634	27.06 %	#4,056
62.	56169	44.338334, -96.006510	Russell, Minnesota	777	27.04 %	#4,060
63.	56214	44.603676, -95.322581	Belview, Minnesota	846	26.99 %	#4,087
64.	56045	43.762432, -93.195530	Hollandale, Minnesota	783	26.91 %	#4,127
65.	56075	43.735153, -94.432490	Northrop, Minnesota	172	26.74 %	#4,219
66.	56003	44.209337, -94.092010	Mankato, Minnesota	12,769	26.70 %	#4,243
67.	56157	44.403427, -95.970694	Lynd, Minnesota	665	26.68 %	#4,253
68.	56291	44.607855, -96.062636	Taunton, Minnesota	537	26.52 %	#4,334
69.	56438	46.138601, -94.819178	Browerville, Minnesota	2,781	26.44 %	#4,363
70.	55368	44.738870, -93.899119	Norwood Young America, Minnesota	2,248	26.26 %	#4,471
71.	56187	43.617984, -95.591678	Worthington, Minnesota	12,654	26.20 %	#4,500
72.	56057	44.402266, -93.715617	Le Center, Minnesota	3,757	26.18 %	#4,515
73.	56042	43.804409, -93.480127	Hartland, Minnesota	741	26.12 %	#4,546
74.	55321	45.087589, -94.193155	Cokato, Minnesota	5,110	26.10 %	#4,555
75.	56111	43.648955, -94.884729	Alpha, Minnesota	516	26.07 %	#4,575
76.	56453	46.320861, -95.165361	Hewitt, Minnesota	856	26.04 %	#4,591
77.	56347	45.975864, -94.862938	Long Prairie, Minnesota	6,456	25.99 %	#4,621
78.	55917	43.884820, -93.075481	Blooming Prairie, Minnesota	3,710	25.91 %	#4,667
79.	55041	44.392491, -92.314893	Lake City, Minnesota	7,462	25.83 %	#4,720
80.	55969	44.094080, -91.842854	Rollingstone, Minnesota	1,406	25.77 %	#4,755
81.	55924	44.029232, -93.027295	Claremont, Minnesota	1,405	25.75 %	#4,768
82.	55987	43.971432, -91.653488	Winona, Minnesota	34,771	25.63 %	#4,854
83.	55307	44.605095, -94.122565	Arlington, Minnesota	3,696	25.61 %	#4,864
84.	56021	44.278448, -94.312711	Courtland, Minnesota	1,056	25.43 %	#4,984
85.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	25.37 %	#5,016
86.	55309	45.387520, -93.738091	Big Lake, Minnesota	12,295	25.31 %	#5,041
87.	56028	44.226257, -93.717420	Elysian, Minnesota	956	25.24 %	#5,088
88.	55988	44.025550, -91.774965	Stockton, Minnesota	226	25.19 %	#5,117
89.	56340	45.759467, -94.429019	Holdingford, Minnesota	2,287	25.19 %	#5,119
90.	55349	45.061182, -94.072970	Howard Lake, Minnesota	3,731	24.89 %	#5,311
91.	56073	44.304830, -94.464745	New Ulm, Minnesota	17,199	24.87 %	#5,324
92.	56026	43.885775, -93.290995	Ellendale, Minnesota	1,932	24.87 %	#5,325
93.	56050	44.259144, -93.947347	Kasota, Minnesota	1,353	24.83 %	#5,356
94.	56245	44.684043, -95.677203	Hanley Falls, Minnesota	555	24.80 %	#5,376
95.	55046	44.451844, -93.419222	Lonsdale, Minnesota	2,945	24.74 %	#5,402
96.	55342	44.742925, -94.739028	Hector, Minnesota	2,143	24.72 %	#5,418
97.	56649	48.528814, -93.409564	International Falls, Minnesota	10,774	24.69 %	#5,449
98.	56022	44.041711, -94.838968	Darfur, Minnesota	133	24.63 %	#5,483
99.	56062	44.046146, -94.418133	Madelia, Minnesota	3,328	24.59 %	#5,510
100.	55339	44.724481, -93.939557	Hamburg, Minnesota	960	24.58 %	#5,524

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