Zip Codes with the Highest Percentage of Population Not in Labor Force in Minnesota

Minnesota Report:

Percentage of Population Not in Labor Force

Percentage of Population Not in Labor Force in the United States by Zip Code

Percentage of Population Not in Labor Force in the United States by City

#	Zip Code	Location	City	Population	% Not in Labor Force	National Rank
1.	56685	48.238688, -94.531271	Waskish, Minnesota	129	67.22 %	#489
2.	55415	44.974330, -93.258639	Minneapolis, Minnesota	1,713	67.20 %	#493
3.	55003	45.014769, -92.783467	Bayport, Minnesota	3,162	66.95 %	#515
4.	56208	45.246719, -96.004770	Appleton, Minnesota	3,700	64.37 %	#694
5.	56448	46.766371, -94.119562	Fifty Lakes, Minnesota	393	62.53 %	#844
6.	55802	46.756024, -92.104967	Duluth, Minnesota	2,452	58.87 %	#1,296
7.	56657	47.573005, -93.634311	Marcell, Minnesota	263	58.40 %	#1,371
8.	55767	46.447351, -92.758647	Moose Lake, Minnesota	3,930	57.88 %	#1,436
9.	56452	46.963298, -94.466583	Hackensack, Minnesota	1,811	55.71 %	#1,815
10.	55758	47.510787, -92.744438	Kinney, Minnesota	252	55.55 %	#1,852
11.	56655	46.971048, -94.178823	Longville, Minnesota	1,394	54.70 %	#2,007
12.	55784	47.058391, -93.165281	Swan River, Minnesota	77	53.57 %	#2,276
13.	55725	48.320711, -92.660559	Crane Lake, Minnesota	111	53.01 %	#2,437
14.	56681	47.614325, -94.238498	Squaw Lake, Minnesota	291	52.88 %	#2,476
15.	55760	46.665848, -93.236995	Mcgregor, Minnesota	2,789	52.82 %	#2,499
16.	56442	46.682188, -94.062610	Crosslake, Minnesota	2,107	52.81 %	#2,500
17.	56720	48.574103, -96.886583	Donaldson, Minnesota	69	52.63 %	#2,557
18.	56661	47.819048, -94.136823	Northome, Minnesota	1,041	52.27 %	#2,676
19.	56535	47.677583, -96.041858	Erskine, Minnesota	1,340	52.24 %	#2,693
20.	55072	46.094837, -92.526656	Sandstone, Minnesota	4,050	52.20 %	#2,717
21.	55706	47.693090, -91.971699	Babbitt, Minnesota	2,050	52.04 %	#2,766
22.	56313	45.785999, -93.553512	Bock, Minnesota	52	51.06 %	#3,107
23.	56566	47.294965, -95.663175	Naytahwaush, Minnesota	367	50.40 %	#3,344
24.	56628	47.679426, -93.550995	Bigfork, Minnesota	1,702	50.17 %	#3,427
25.	55742	47.162343, -93.127887	Goodland, Minnesota	483	50.00 %	#3,497
26.	56672	47.054410, -94.051061	Remer, Minnesota	1,934	49.19 %	#3,908
27.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	49.14 %	#3,938
28.	55716	47.321452, -93.267196	Calumet, Minnesota	383	49.14 %	#3,939
29.	56240	45.571401, -96.469666	Graceville, Minnesota	1,121	49.01 %	#3,995
30.	55752	46.968400, -93.209340	Jacobson, Minnesota	390	48.99 %	#4,011
31.	56641	47.222364, -94.252758	Federal Dam, Minnesota	338	48.89 %	#4,075
32.	56639	47.845406, -93.517932	Effie, Minnesota	402	48.73 %	#4,167
33.	56287	44.462238, -95.318386	Seaforth, Minnesota	94	48.43 %	#4,337
34.	56688	47.805467, -93.839563	Wirt, Minnesota	98	48.38 %	#4,365
35.	55602	47.317521, -91.928856	Brimson, Minnesota	236	48.19 %	#4,465
36.	56680	47.659089, -93.957158	Spring Lake, Minnesota	80	48.10 %	#4,531
37.	56524	46.216786, -95.615481	Clitherall, Minnesota	753	48.04 %	#4,563
38.	56296	45.837487, -96.456894	Wheaton, Minnesota	2,310	48.02 %	#4,577
39.	56342	46.184190, -93.369917	Isle, Minnesota	2,744	47.99 %	#4,598
40.	56467	46.996609, -94.850365	Nevis, Minnesota	2,212	47.96 %	#4,611
41.	55796	47.944356, -91.786905	Winton, Minnesota	157	47.89 %	#4,646
42.	56659	47.657721, -94.063841	Max, Minnesota	155	47.72 %	#4,761
43.	55708	47.530124, -92.340387	Biwabik, Minnesota	895	47.70 %	#4,773
44.	56221	45.563606, -96.198145	Chokio, Minnesota	1,024	47.51 %	#4,861
45.	56575	47.042407, -95.434841	Ponsford, Minnesota	721	47.39 %	#4,936
46.	56654	48.511415, -93.947764	Loman, Minnesota	130	47.27 %	#5,009
47.	55950	43.732509, -92.963421	Lansing, Minnesota	152	46.95 %	#5,208
48.	56666	48.029608, -94.857469	Ponemah, Minnesota	1,029	46.61 %	#5,436
49.	56469	46.727361, -93.526133	Palisade, Minnesota	1,020	46.48 %	#5,523
50.	56458	47.204662, -94.991786	Lake George, Minnesota	303	46.34 %	#5,613
51.	55712	46.272648, -92.458257	Bruno, Minnesota	401	46.28 %	#5,668
52.	56585	47.099805, -96.248684	Ulen, Minnesota	1,016	46.11 %	#5,771
53.	56447	46.747619, -93.910176	Emily, Minnesota	1,026	46.02 %	#5,847
54.	55711	46.844265, -92.691219	Brookston, Minnesota	514	45.89 %	#5,929
55.	56450	46.246125, -93.820572	Garrison, Minnesota	1,015	45.88 %	#5,946
56.	56662	46.862191, -93.852993	Outing, Minnesota	532	45.77 %	#6,030
57.	55769	47.434858, -93.131307	Nashwauk, Minnesota	2,258	45.23 %	#6,463
58.	56441	46.577802, -93.981476	Crosby, Minnesota	3,320	45.15 %	#6,547
59.	56651	47.454073, -95.616397	Lengby, Minnesota	521	45.10 %	#6,577
60.	56637	47.608115, -93.829972	Talmoon, Minnesota	277	45.02 %	#6,655
61.	56636	47.390470, -93.848710	Deer River, Minnesota	4,907	45.02 %	#6,658
62.	56515	46.279173, -95.708325	Battle Lake, Minnesota	2,733	45.00 %	#6,671
63.	56671	47.895133, -95.305386	Redlake, Minnesota	1,884	44.85 %	#6,799
64.	56443	46.187806, -94.632066	Cushing, Minnesota	1,398	44.83 %	#6,812
65.	56431	46.513115, -93.592183	Aitkin, Minnesota	8,347	44.77 %	#6,868
66.	55601	47.259633, -91.298629	Beaver Bay, Minnesota	206	44.76 %	#6,879
67.	55771	48.116822, -92.904103	Orr, Minnesota	1,755	44.57 %	#7,026
68.	56211	45.573495, -96.677823	Beardsley, Minnesota	685	44.52 %	#7,063
69.	56728	48.784275, -96.977458	Hallock, Minnesota	1,621	44.48 %	#7,099
70.	55614	47.322731, -91.292883	Silver Bay, Minnesota	2,758	44.47 %	#7,103
71.	56569	47.129088, -95.701945	Ogema, Minnesota	1,579	44.25 %	#7,296
72.	56219	45.607652, -96.818280	Browns Valley, Minnesota	1,331	44.19 %	#7,354
73.	56551	46.317619, -95.437061	Henning, Minnesota	2,343	44.03 %	#7,497
74.	56744	48.274747, -97.097650	Oslo, Minnesota	512	44.02 %	#7,504
75.	55798	46.723256, -92.967783	Wright, Minnesota	706	44.00 %	#7,519
76.	55719	47.541039, -92.862190	Chisholm, Minnesota	5,889	43.93 %	#7,583
77.	55723	47.931103, -92.614537	Cook, Minnesota	2,557	43.91 %	#7,597
78.	56650	47.972380, -94.576734	Kelliher, Minnesota	811	43.85 %	#7,643
79.	56556	47.662952, -95.879974	Mcintosh, Minnesota	1,159	43.80 %	#7,700
80.	56588	46.209154, -95.516561	Vining, Minnesota	459	43.76 %	#7,730
81.	55790	47.826489, -92.319184	Tower, Minnesota	1,883	43.71 %	#7,779
82.	55775	47.307666, -93.206496	Pengilly, Minnesota	1,351	43.53 %	#7,972
83.	55795	46.297871, -92.882916	Willow River, Minnesota	1,527	43.51 %	#7,990
84.	56713	48.347530, -96.772892	Argyle, Minnesota	1,057	43.40 %	#8,102
85.	56183	44.014374, -95.431120	Westbrook, Minnesota	1,482	43.36 %	#8,139
86.	56627	48.150751, -93.808961	Big Falls, Minnesota	376	43.36 %	#8,140
87.	55384	44.934963, -93.636686	Spring Park, Minnesota	1,473	43.28 %	#8,228
88.	56152	44.227120, -95.281190	Lamberton, Minnesota	1,618	43.27 %	#8,237
89.	56014	43.594319, -93.838124	Bricelyn, Minnesota	823	43.25 %	#8,261
90.	56528	46.535179, -95.802457	Dent, Minnesota	1,658	43.24 %	#8,268
91.	55787	46.695191, -93.099700	Tamarack, Minnesota	362	43.14 %	#8,374
92.	55792	47.587857, -92.451872	Virginia, Minnesota	10,904	43.08 %	#8,423
93.	56519	47.157963, -96.514670	Borup, Minnesota	335	43.03 %	#8,476
94.	56540	47.557710, -96.269583	Fertile, Minnesota	1,982	43.01 %	#8,488
95.	56176	43.783287, -94.720493	Trimont, Minnesota	1,151	43.01 %	#8,489
96.	55783	46.410144, -92.981361	Sturgeon Lake, Minnesota	1,946	42.91 %	#8,609
97.	56548	47.366590, -96.766388	Halstad, Minnesota	868	42.89 %	#8,631
98.	55731	47.973323, -91.985645	Ely, Minnesota	6,264	42.83 %	#8,694
99.	56033	43.578874, -93.939249	Frost, Minnesota	389	42.80 %	#8,732
100.	56542	47.563756, -95.739267	Fosston, Minnesota	2,871	42.77 %	#8,761

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