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

Minnesota Report:

Percentage of Population in Labor Force

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

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

#	Zip Code	Location	City	Population	% In Labor Force	National Rank
1.	56711	49.354533, -95.088133	Angle Inlet, Minnesota	121	95.14 %	#92
2.	55087	44.248540, -93.390257	Warsaw, Minnesota	254	85.94 %	#234
3.	55316	45.165902, -93.414665	Champlin, Minnesota	22,422	84.77 %	#274
4.	55378	44.769329, -93.397360	Savage, Minnesota	21,882	84.49 %	#286
5.	55123	44.797772, -93.132567	Saint Paul, Minnesota	27,448	83.29 %	#337
6.	56375	45.703877, -94.282547	Saint Stephen, Minnesota	832	83.27 %	#339
7.	55311	45.106403, -93.497029	Osseo, Minnesota	19,827	83.19 %	#342
8.	55020	44.580205, -93.389154	Elko, Minnesota	2,326	83.16 %	#345
9.	55605	47.965288, -89.737130	Grand Portage, Minnesota	557	82.99 %	#353
10.	55374	45.180046, -93.582644	Rogers, Minnesota	9,317	82.96 %	#355
11.	55038	45.165641, -92.971909	Hugo, Minnesota	10,687	82.83 %	#366
12.	55988	44.025550, -91.774965	Stockton, Minnesota	226	82.82 %	#369
13.	56756	48.868116, -95.500480	Salol, Minnesota	878	82.73 %	#377
14.	55090	45.054457, -92.956880	Willernie, Minnesota	390	82.60 %	#385
15.	56456	46.663517, -94.324435	Jenkins, Minnesota	223	82.28 %	#405
16.	55301	45.248102, -93.675550	Albertville, Minnesota	3,962	82.13 %	#420
17.	55375	44.908752, -93.752716	Saint Bonifacius, Minnesota	1,907	82.00 %	#430
18.	55445	45.122441, -93.379184	Minneapolis, Minnesota	8,853	81.61 %	#464
19.	55369	45.130113, -93.444661	Osseo, Minnesota	33,294	81.57 %	#467
20.	55309	45.387520, -93.738091	Big Lake, Minnesota	12,295	81.55 %	#475
21.	55068	44.720800, -93.082100	Rosemount, Minnesota	20,734	81.50 %	#479
22.	55024	44.628546, -93.138429	Farmington, Minnesota	21,125	81.48 %	#482
23.	55011	45.345744, -93.261937	Cedar, Minnesota	8,696	81.48 %	#485
24.	55044	44.634455, -93.272760	Lakeville, Minnesota	35,085	81.45 %	#487
25.	55444	45.107694, -93.303067	Minneapolis, Minnesota	15,702	81.37 %	#491
26.	55341	45.157671, -93.675200	Hanover, Minnesota	1,045	81.32 %	#498
27.	55344	44.863384, -93.428318	Eden Prairie, Minnesota	13,022	81.29 %	#500
28.	55373	45.089804, -93.732568	Rockford, Minnesota	4,363	81.25 %	#510
29.	56147	43.750000, -96.065972	Kenneth, Minnesota	247	81.08 %	#530
30.	55306	44.730974, -93.294940	Burnsville, Minnesota	15,033	81.01 %	#537
31.	55357	45.105802, -93.673208	Loretto, Minnesota	3,497	80.80 %	#554
32.	55129	44.925033, -92.889253	Saint Paul, Minnesota	6,285	80.79 %	#556
33.	55315	44.705643, -93.662951	Carver, Minnesota	2,444	80.79 %	#557
34.	55957	44.253009, -92.296897	Millville, Minnesota	741	80.72 %	#570
35.	55340	45.078263, -93.572118	Hamel, Minnesota	5,836	80.69 %	#576
36.	55449	45.177288, -93.181914	Minneapolis, Minnesota	11,678	80.66 %	#582
37.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	80.66 %	#583
38.	55124	44.745053, -93.205486	Saint Paul, Minnesota	46,454	80.65 %	#584
39.	55386	44.865204, -93.678932	Victoria, Minnesota	3,448	80.59 %	#593
40.	55304	45.258795, -93.269238	Andover, Minnesota	39,049	80.59 %	#595
41.	55376	45.204322, -93.684752	Saint Michael, Minnesota	7,675	80.53 %	#602
42.	56024	44.144861, -93.856989	Eagle Lake, Minnesota	2,239	80.46 %	#612
43.	55121	44.845104, -93.144259	Saint Paul, Minnesota	7,714	80.30 %	#631
44.	56678	47.508078, -95.113057	Solway, Minnesota	774	80.27 %	#634
45.	55317	44.858704, -93.550209	Chanhassen, Minnesota	17,114	80.19 %	#646
46.	55016	44.826135, -92.926328	Cottage Grove, Minnesota	30,141	80.13 %	#652
47.	55372	44.682895, -93.403141	Prior Lake, Minnesota	22,828	80.10 %	#656
48.	55318	44.810762, -93.636185	Chaska, Minnesota	19,232	80.05 %	#663
49.	55018	44.414410, -92.995374	Dennison, Minnesota	909	79.97 %	#687
50.	55920	44.013359, -92.623778	Byron, Minnesota	5,618	79.91 %	#697
51.	55337	44.778472, -93.272269	Burnsville, Minnesota	45,174	79.82 %	#707
52.	55935	43.741840, -92.126473	Fountain, Minnesota	770	79.82 %	#708
53.	55327	45.204294, -93.468840	Dayton, Minnesota	3,502	79.67 %	#738
54.	55346	44.880818, -93.482099	Eden Prairie, Minnesota	17,920	79.67 %	#739
55.	55434	45.163716, -93.250487	Minneapolis, Minnesota	27,553	79.64 %	#742
56.	56239	44.508064, -95.910221	Ghent, Minnesota	582	79.56 %	#760
57.	55932	44.140847, -92.313097	Elgin, Minnesota	1,796	79.54 %	#763
58.	55408	44.943815, -93.293867	Minneapolis, Minnesota	30,564	79.53 %	#764
59.	55362	45.292082, -93.838711	Monticello, Minnesota	13,833	79.35 %	#795
60.	55354	44.887891, -94.081690	Lester Prairie, Minnesota	2,303	79.23 %	#815
61.	55448	45.193911, -93.299952	Minneapolis, Minnesota	26,551	79.18 %	#829
62.	55005	45.393799, -93.201592	Bethel, Minnesota	4,093	79.14 %	#834
63.	56021	44.278448, -94.312711	Courtland, Minnesota	1,056	79.13 %	#836
64.	55441	45.007993, -93.425314	Minneapolis, Minnesota	17,398	79.10 %	#846
65.	55364	44.945432, -93.693523	Mound, Minnesota	14,983	79.09 %	#851
66.	56367	45.763248, -94.161565	Rice, Minnesota	5,441	78.85 %	#891
67.	55019	44.411004, -93.250262	Dundas, Minnesota	1,039	78.83 %	#896
68.	55043	44.938627, -92.777056	Lakeland, Minnesota	4,028	78.83 %	#897
69.	55308	45.447918, -93.810692	Becker, Minnesota	6,268	78.80 %	#901
70.	56377	45.646154, -94.247791	Sartell, Minnesota	12,656	78.76 %	#916
71.	56369	45.468603, -94.335020	Rockville, Minnesota	416	78.70 %	#925
72.	56017	44.294552, -93.796323	Cleveland, Minnesota	1,607	78.67 %	#932
73.	55398	45.457476, -93.576397	Zimmerman, Minnesota	10,172	78.67 %	#935
74.	55088	44.523586, -93.383455	Webster, Minnesota	1,569	78.59 %	#950
75.	55944	44.028435, -92.744489	Kasson, Minnesota	7,234	78.55 %	#957
76.	55379	44.743507, -93.526107	Shakopee, Minnesota	23,250	78.45 %	#977
77.	55442	45.046291, -93.428928	Minneapolis, Minnesota	13,196	78.45 %	#978
78.	56165	43.725343, -95.703057	Reading, Minnesota	419	78.37 %	#993
79.	55077	44.807660, -93.063149	Inver Grove Heights, Minnesota	10,590	78.25 %	#1,018
80.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	78.24 %	#1,020
81.	55070	45.409935, -93.376536	Saint Francis, Minnesota	5,575	78.24 %	#1,022
82.	55125	44.918031, -92.938277	Saint Paul, Minnesota	40,093	78.17 %	#1,041
83.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	78.12 %	#1,051
84.	55027	44.409186, -92.623060	Goodhue, Minnesota	2,589	78.09 %	#1,056
85.	56003	44.209337, -94.092010	Mankato, Minnesota	12,769	77.98 %	#1,089
86.	55049	44.176279, -93.230762	Medford, Minnesota	2,246	77.97 %	#1,092
87.	56754	47.993966, -96.191308	Saint Hilaire, Minnesota	509	77.88 %	#1,120
88.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	77.77 %	#1,148
89.	55433	45.160411, -93.314839	Minneapolis, Minnesota	34,714	77.77 %	#1,158
90.	56231	45.279446, -95.763206	Danvers, Minnesota	494	77.74 %	#1,161
91.	55443	45.117609, -93.338118	Minneapolis, Minnesota	25,379	77.71 %	#1,167
92.	55959	44.080236, -91.738376	Minnesota City, Minnesota	2,191	77.68 %	#1,174
93.	56063	44.206406, -93.816358	Madison Lake, Minnesota	2,462	77.61 %	#1,195
94.	55360	44.915960, -93.919645	Mayer, Minnesota	1,527	77.59 %	#1,201
95.	55347	44.826059, -93.465330	Eden Prairie, Minnesota	23,980	77.59 %	#1,203
96.	55363	45.037192, -93.918320	Montrose, Minnesota	2,839	77.57 %	#1,210
97.	56229	44.594036, -95.716384	Cottonwood, Minnesota	1,836	77.56 %	#1,213
98.	55303	45.288281, -93.431100	Anoka, Minnesota	42,088	77.49 %	#1,233
99.	55328	45.033414, -93.814206	Delano, Minnesota	7,332	77.46 %	#1,238
100.	55031	44.604526, -92.978829	Hampton, Minnesota	1,797	77.42 %	#1,257

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