Zip Codes with the Highest Percentage of Males in Labor Force in Minnesota

Minnesota Report:

Percentage of Males in Labor Force

Percentage of Males in Labor Force in the United States by Zip Code

Percentage of Males in Labor Force in the United States by City

#	Zip Code	Location	City	Population	% In Labor Force (m)	National Rank
1.	55725	48.320711, -92.660559	Crane Lake, Minnesota	111	79.48 %	#215
2.	56629	48.540188, -94.186705	Birchdale, Minnesota	26	71.42 %	#483
3.	56519	47.157963, -96.514670	Borup, Minnesota	335	70.50 %	#524
4.	55742	47.162343, -93.127887	Goodland, Minnesota	483	69.00 %	#623
5.	56350	46.305029, -93.230407	Mc Grath, Minnesota	329	67.54 %	#784
6.	56355	45.934008, -95.233387	Nelson, Minnesota	526	67.50 %	#788
7.	56711	49.354533, -95.088133	Angle Inlet, Minnesota	121	66.32 %	#966
8.	56755	48.954110, -97.176447	Saint Vincent, Minnesota	170	64.77 %	#1,247
9.	56627	48.150751, -93.808961	Big Falls, Minnesota	376	64.57 %	#1,301
10.	56588	46.209154, -95.516561	Vining, Minnesota	459	64.25 %	#1,392
11.	56325	45.562884, -94.947565	Elrosa, Minnesota	165	64.17 %	#1,402
12.	56583	46.011089, -96.412523	Tintah, Minnesota	211	64.00 %	#1,452
13.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	64.00 %	#1,453
14.	56659	47.657721, -94.063841	Max, Minnesota	155	63.76 %	#1,518
15.	55977	43.550036, -92.650161	Taopi, Minnesota	197	62.06 %	#2,128
16.	56731	48.897857, -97.095479	Humboldt, Minnesota	106	62.00 %	#2,157
17.	56294	44.319920, -95.219743	Wanda, Minnesota	108	61.90 %	#2,199
18.	55784	47.058391, -93.165281	Swan River, Minnesota	77	61.53 %	#2,376
19.	56684	47.807997, -95.719900	Trail, Minnesota	420	61.32 %	#2,486
20.	56522	46.131921, -96.379373	Campbell, Minnesota	733	61.23 %	#2,530
21.	56652	47.708135, -95.227660	Leonard, Minnesota	488	61.17 %	#2,574
22.	56335	45.600957, -94.857364	Greenwald, Minnesota	163	61.00 %	#2,656
23.	56662	46.862191, -93.852993	Outing, Minnesota	532	61.00 %	#2,657
24.	56639	47.845406, -93.517932	Effie, Minnesota	402	60.98 %	#2,670
25.	56546	47.100433, -96.743078	Georgetown, Minnesota	368	60.86 %	#2,749
26.	56236	45.662448, -96.408601	Dumont, Minnesota	448	60.82 %	#2,769
27.	55603	47.503017, -91.191074	Finland, Minnesota	603	60.80 %	#2,776
28.	56122	43.898445, -95.956000	Chandler, Minnesota	672	60.74 %	#2,818
29.	56725	48.128854, -95.798237	Goodridge, Minnesota	954	60.69 %	#2,841
30.	56663	47.466429, -94.446625	Pennington, Minnesota	188	60.67 %	#2,856
31.	56518	46.490070, -95.250369	Bluffton, Minnesota	324	60.55 %	#2,938
32.	55404	44.962198, -93.262011	Minneapolis, Minnesota	27,282	60.49 %	#2,970
33.	55065	44.550758, -93.024955	Randolph, Minnesota	980	60.41 %	#3,045
34.	56758	48.470412, -96.541140	Strandquist, Minnesota	425	60.40 %	#3,050
35.	55703	47.743356, -92.800555	Angora, Minnesota	768	60.30 %	#3,120
36.	56117	43.536430, -95.703811	Bigelow, Minnesota	396	60.09 %	#3,251
37.	55030	45.839120, -93.089416	Grasston, Minnesota	1,121	60.09 %	#3,252
38.	56543	46.291177, -96.332239	Foxhome, Minnesota	289	59.85 %	#3,465
39.	56276	45.246430, -96.324208	Odessa, Minnesota	287	59.85 %	#3,466
40.	56729	48.645080, -96.548732	Halma, Minnesota	187	59.82 %	#3,484
41.	55765	47.134137, -92.755729	Meadowlands, Minnesota	766	59.77 %	#3,533
42.	56114	43.985864, -95.592498	Avoca, Minnesota	393	59.62 %	#3,647
43.	56733	48.623020, -96.921686	Kennedy, Minnesota	615	59.59 %	#3,686
44.	56295	45.035813, -95.826677	Watson, Minnesota	289	59.55 %	#3,730
45.	56524	46.216786, -95.615481	Clitherall, Minnesota	753	59.47 %	#3,813
46.	56566	47.294965, -95.663175	Naytahwaush, Minnesota	367	59.34 %	#3,945
47.	56568	47.535231, -96.783178	Nielsville, Minnesota	151	59.25 %	#4,024
48.	56138	43.534582, -96.389525	Hills, Minnesota	834	59.25 %	#4,025
49.	56127	43.548714, -94.780895	Dunnell, Minnesota	446	59.24 %	#4,042
50.	56349	45.718238, -95.520136	Lowry, Minnesota	688	59.22 %	#4,065
51.	56224	44.378083, -95.059749	Clements, Minnesota	377	59.22 %	#4,066
52.	55781	47.682784, -93.032331	Side Lake, Minnesota	408	59.21 %	#4,081
53.	55615	47.705484, -90.793919	Tofte, Minnesota	246	59.21 %	#4,086
54.	56245	44.684043, -95.677203	Hanley Falls, Minnesota	555	59.20 %	#4,089
55.	56083	44.208011, -95.134321	Sanborn, Minnesota	1,050	59.19 %	#4,102
56.	56274	45.899505, -96.250267	Norcross, Minnesota	193	59.18 %	#4,115
57.	56434	46.379653, -94.925494	Aldrich, Minnesota	84	59.18 %	#4,116
58.	55702	46.953167, -92.697989	Alborn, Minnesota	404	59.06 %	#4,242
59.	56653	48.366209, -93.563990	Littlefork, Minnesota	1,434	59.06 %	#4,244
60.	56237	44.616613, -95.433459	Echo, Minnesota	634	59.04 %	#4,266
61.	56043	43.649401, -93.222394	Hayward, Minnesota	479	59.02 %	#4,282
62.	55738	47.264329, -92.660294	Forbes, Minnesota	631	58.98 %	#4,327
63.	55089	44.593074, -92.718800	Welch, Minnesota	1,764	58.88 %	#4,444
64.	56211	45.573495, -96.677823	Beardsley, Minnesota	685	58.82 %	#4,533
65.	55012	45.438085, -92.788113	Center City, Minnesota	1,574	58.80 %	#4,567
66.	56042	43.804409, -93.480127	Hartland, Minnesota	741	58.80 %	#4,570
67.	56263	44.421474, -95.532657	Milroy, Minnesota	573	58.80 %	#4,573
68.	56235	45.709703, -96.016509	Donnelly, Minnesota	637	58.77 %	#4,601
69.	55795	46.297871, -92.882916	Willow River, Minnesota	1,527	58.66 %	#4,739
70.	56654	48.511415, -93.947764	Loman, Minnesota	130	58.62 %	#4,784
71.	56174	44.016336, -95.305092	Storden, Minnesota	441	58.59 %	#4,821
72.	56155	43.765868, -95.946055	Lismore, Minnesota	469	58.57 %	#4,842
73.	55749	46.489114, -92.389296	Holyoke, Minnesota	293	58.50 %	#4,931
74.	55080	45.666418, -93.222230	Stanchfield, Minnesota	2,297	58.47 %	#4,967
75.	55053	44.338345, -93.055440	Nerstrand, Minnesota	710	58.42 %	#5,017
76.	56121	43.539484, -94.622106	Ceylon, Minnesota	715	58.41 %	#5,028
77.	56212	45.149778, -96.323435	Bellingham, Minnesota	706	58.40 %	#5,041
78.	56338	45.993131, -93.871916	Hillman, Minnesota	1,561	58.40 %	#5,044
79.	55073	45.272533, -92.814871	Scandia, Minnesota	2,790	58.30 %	#5,179
80.	56113	44.397443, -96.166999	Arco, Minnesota	298	58.22 %	#5,289
81.	56111	43.648955, -94.884729	Alpha, Minnesota	516	58.11 %	#5,436
82.	56025	43.764325, -93.919728	Easton, Minnesota	474	58.10 %	#5,456
83.	55925	43.907106, -91.449642	Dakota, Minnesota	998	58.08 %	#5,504
84.	56147	43.750000, -96.065972	Kenneth, Minnesota	247	58.00 %	#5,630
85.	55391	44.968226, -93.525645	Wayzata, Minnesota	16,135	57.99 %	#5,650
86.	56590	46.028103, -96.152761	Wendell, Minnesota	373	57.94 %	#5,712
87.	56443	46.187806, -94.632066	Cushing, Minnesota	1,398	57.89 %	#5,803
88.	55384	44.934963, -93.636686	Spring Park, Minnesota	1,473	57.87 %	#5,840
89.	56089	43.563886, -93.438467	Twin Lakes, Minnesota	225	57.81 %	#5,934
90.	56023	43.785715, -93.997235	Delavan, Minnesota	567	57.80 %	#5,949
91.	56173	43.525151, -96.241181	Steen, Minnesota	429	57.80 %	#5,952
92.	55970	43.599585, -92.837811	Rose Creek, Minnesota	919	57.77 %	#5,994
93.	56336	45.832098, -94.782367	Grey Eagle, Minnesota	1,734	57.77 %	#5,998
94.	55401	44.984334, -93.268720	Minneapolis, Minnesota	3,649	57.75 %	#6,032
95.	55983	44.291403, -92.806985	Wanamingo, Minnesota	1,409	57.73 %	#6,055
96.	56185	43.797312, -95.822519	Wilmont, Minnesota	617	57.72 %	#6,079
97.	55403	44.970570, -93.284032	Minneapolis, Minnesota	14,873	57.71 %	#6,095
98.	56244	45.481584, -95.798305	Hancock, Minnesota	1,441	57.63 %	#6,215
99.	56177	43.874131, -96.252497	Trosky, Minnesota	123	57.62 %	#6,232
100.	56153	43.826383, -96.024232	Leota, Minnesota	233	57.60 %	#6,267

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