Zip Codes with the Highest Percentage of Population with Production & Transportation Jobs in Minnesota

Minnesota Report:

Percentage of Population with Production & Transportation Jobs

Percentage of Population with Production & Transportation Jobs in the United States by Zip Code

Percentage of Population with Production & Transportation Jobs in the United States by City

#	Zip Code	Location	City	Population	% Production Jobs	National Rank
1.	56022	44.041711, -94.838968	Darfur, Minnesota	133	43.47 %	#360
2.	56371	45.437846, -94.629864	Roscoe, Minnesota	108	40.32 %	#599
3.	56673	48.741785, -95.130494	Roosevelt, Minnesota	786	39.74 %	#663
4.	56177	43.874131, -96.252497	Trosky, Minnesota	123	39.65 %	#674
5.	56761	48.595533, -95.675823	Wannaska, Minnesota	569	39.51 %	#686
6.	56313	45.785999, -93.553512	Bock, Minnesota	52	39.13 %	#735
7.	56714	48.758349, -96.002405	Badger, Minnesota	1,428	38.85 %	#777
8.	56759	48.550917, -96.037479	Strathcona, Minnesota	288	38.70 %	#791
9.	56089	43.563886, -93.438467	Twin Lakes, Minnesota	225	38.40 %	#829
10.	55784	47.058391, -93.165281	Swan River, Minnesota	77	38.23 %	#850
11.	56763	48.778425, -95.275566	Warroad, Minnesota	5,276	38.18 %	#857
12.	56756	48.868116, -95.500480	Salol, Minnesota	878	37.60 %	#933
13.	56727	48.331617, -95.303599	Grygla, Minnesota	787	36.51 %	#1,135
14.	55785	46.864991, -93.714226	Swatara, Minnesota	237	36.45 %	#1,144
15.	56686	48.784049, -94.911697	Williams, Minnesota	1,016	36.17 %	#1,193
16.	56731	48.897857, -97.095479	Humboldt, Minnesota	106	36.00 %	#1,230
17.	56724	48.454879, -95.721459	Gatzke, Minnesota	226	35.78 %	#1,279
18.	56153	43.826383, -96.024232	Leota, Minnesota	233	35.24 %	#1,393
19.	56729	48.645080, -96.548732	Halma, Minnesota	187	34.61 %	#1,540
20.	56020	43.607381, -93.538328	Conger, Minnesota	124	34.24 %	#1,653
21.	56369	45.468603, -94.335020	Rockville, Minnesota	416	34.16 %	#1,669
22.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	34.00 %	#1,709
23.	56627	48.150751, -93.808961	Big Falls, Minnesota	376	33.53 %	#1,846
24.	55381	44.930963, -94.199979	Silver Lake, Minnesota	1,887	33.10 %	#2,002
25.	56120	43.960008, -94.794802	Butterfield, Minnesota	1,193	32.84 %	#2,085
26.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	32.83 %	#2,087
27.	56044	44.564804, -93.956605	Henderson, Minnesota	2,037	32.30 %	#2,290
28.	56357	45.701947, -93.799926	Oak Park, Minnesota	822	32.15 %	#2,340
29.	56045	43.762432, -93.195530	Hollandale, Minnesota	783	32.01 %	#2,404
30.	56751	48.809822, -95.733307	Roseau, Minnesota	5,762	31.82 %	#2,463
31.	55334	44.521530, -94.215248	Gaylord, Minnesota	2,975	31.53 %	#2,586
32.	56314	45.817053, -94.442870	Bowlus, Minnesota	1,052	31.45 %	#2,626
33.	56453	46.320861, -95.165361	Hewitt, Minnesota	856	31.25 %	#2,719
34.	56726	48.698635, -96.227954	Greenbush, Minnesota	1,714	30.70 %	#2,980
35.	55742	47.162343, -93.127887	Goodland, Minnesota	483	30.57 %	#3,031
36.	55396	44.548417, -94.371892	Winthrop, Minnesota	2,265	30.21 %	#3,218
37.	56043	43.649401, -93.222394	Hayward, Minnesota	479	30.15 %	#3,239
38.	56237	44.616613, -95.433459	Echo, Minnesota	634	30.03 %	#3,302
39.	56062	44.046146, -94.418133	Madelia, Minnesota	3,328	29.92 %	#3,359
40.	56466	46.388684, -94.635389	Motley, Minnesota	2,762	29.92 %	#3,361
41.	56336	45.832098, -94.782367	Grey Eagle, Minnesota	1,734	29.88 %	#3,376
42.	56737	48.449219, -96.053731	Middle River, Minnesota	870	29.85 %	#3,391
43.	55312	44.706340, -94.351290	Brownton, Minnesota	1,636	29.77 %	#3,438
44.	56081	43.986711, -94.632944	Saint James, Minnesota	6,314	29.65 %	#3,496
45.	55753	47.398412, -93.075789	Keewatin, Minnesota	1,061	29.54 %	#3,550
46.	56029	43.530047, -93.522279	Emmons, Minnesota	758	29.48 %	#3,580
47.	56340	45.759467, -94.429019	Holdingford, Minnesota	2,287	29.41 %	#3,627
48.	56654	48.511415, -93.947764	Loman, Minnesota	130	29.31 %	#3,700
49.	56245	44.684043, -95.677203	Hanley Falls, Minnesota	555	29.06 %	#3,831
50.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	28.75 %	#4,001
51.	56057	44.402266, -93.715617	Le Center, Minnesota	3,757	28.72 %	#4,022
52.	56228	44.951236, -94.685179	Cosmos, Minnesota	1,048	28.65 %	#4,071
53.	56438	46.138601, -94.819178	Browerville, Minnesota	2,781	28.64 %	#4,075
54.	56187	43.617984, -95.591678	Worthington, Minnesota	12,654	28.50 %	#4,179
55.	56738	48.347128, -96.336999	Newfolden, Minnesota	1,319	28.36 %	#4,269
56.	56127	43.548714, -94.780895	Dunnell, Minnesota	446	28.16 %	#4,404
57.	55385	44.736080, -94.486491	Stewart, Minnesota	1,359	28.09 %	#4,431
58.	56533	46.408751, -96.155452	Elizabeth, Minnesota	293	28.00 %	#4,492
59.	56347	45.975864, -94.862938	Long Prairie, Minnesota	6,456	27.99 %	#4,503
60.	56075	43.735153, -94.432490	Northrop, Minnesota	172	27.90 %	#4,564
61.	56260	44.963275, -95.482997	Maynard, Minnesota	974	27.89 %	#4,570
62.	55307	44.605095, -94.122565	Arlington, Minnesota	3,696	27.88 %	#4,580
63.	56058	44.448969, -93.913545	Le Sueur, Minnesota	5,903	27.78 %	#4,633
64.	56121	43.539484, -94.622106	Ceylon, Minnesota	715	27.73 %	#4,674
65.	55370	44.777180, -94.036783	Plato, Minnesota	787	27.17 %	#5,047
66.	56035	43.805300, -93.255377	Geneva, Minnesota	485	27.07 %	#5,116
67.	55702	46.953167, -92.697989	Alborn, Minnesota	404	27.06 %	#5,121
68.	56758	48.470412, -96.541140	Strandquist, Minnesota	425	27.01 %	#5,161
69.	56358	45.855393, -93.465499	Ogilvie, Minnesota	3,013	27.01 %	#5,163
70.	55314	44.779020, -94.589725	Buffalo Lake, Minnesota	1,362	26.96 %	#5,187
71.	56330	45.743310, -93.753465	Foreston, Minnesota	1,343	26.93 %	#5,216
72.	55959	44.080236, -91.738376	Minnesota City, Minnesota	2,191	26.88 %	#5,248
73.	56243	45.170240, -94.686488	Grove City, Minnesota	1,752	26.87 %	#5,257
74.	56443	46.187806, -94.632066	Cushing, Minnesota	1,398	26.69 %	#5,391
75.	56437	46.248060, -95.056765	Bertha, Minnesota	1,267	26.69 %	#5,392
76.	56356	45.628804, -94.753835	New Munich, Minnesota	146	26.66 %	#5,418
77.	56475	46.086011, -94.562115	Randall, Minnesota	1,554	26.64 %	#5,431
78.	56069	44.412094, -93.542436	Montgomery, Minnesota	4,379	26.63 %	#5,436
79.	56543	46.291177, -96.332239	Foxhome, Minnesota	289	26.61 %	#5,449
80.	55931	43.520214, -91.454298	Eitzen, Minnesota	256	26.58 %	#5,476
81.	56093	44.058570, -93.519385	Waseca, Minnesota	12,927	26.57 %	#5,489
82.	55339	44.724481, -93.939557	Hamburg, Minnesota	960	26.43 %	#5,581
83.	55355	45.098957, -94.535400	Litchfield, Minnesota	9,613	26.39 %	#5,607
84.	56583	46.011089, -96.412523	Tintah, Minnesota	211	26.37 %	#5,628
85.	56440	46.141951, -94.955084	Clarissa, Minnesota	1,334	26.34 %	#5,643
86.	56051	43.535169, -93.708470	Kiester, Minnesota	794	26.27 %	#5,697
87.	56565	46.042983, -96.304650	Nashua, Minnesota	138	26.15 %	#5,780
88.	55350	44.894313, -94.398785	Hutchinson, Minnesota	17,295	26.12 %	#5,801
89.	56007	43.660594, -93.356924	Albert Lea, Minnesota	21,525	26.08 %	#5,819
90.	56352	45.641800, -94.806359	Melrose, Minnesota	5,625	26.03 %	#5,870
91.	56158	43.640672, -96.061481	Magnolia, Minnesota	396	26.01 %	#5,895
92.	55342	44.742925, -94.739028	Hector, Minnesota	2,143	26.01 %	#5,897
93.	55925	43.907106, -91.449642	Dakota, Minnesota	998	26.00 %	#5,900
94.	55395	44.951833, -94.067714	Winsted, Minnesota	2,636	25.95 %	#5,943
95.	56350	46.305029, -93.230407	Mc Grath, Minnesota	329	25.92 %	#5,968
96.	56479	46.406875, -94.790551	Staples, Minnesota	5,315	25.92 %	#5,969
97.	55389	45.297919, -94.442626	Watkins, Minnesota	2,511	25.82 %	#6,052
98.	55716	47.321452, -93.267196	Calumet, Minnesota	383	25.80 %	#6,063
99.	56659	47.657721, -94.063841	Max, Minnesota	155	25.80 %	#6,067
100.	55371	45.578592, -93.590776	Princeton, Minnesota	12,400	25.75 %	#6,109

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