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

Minnesota Report:

Percentage of Females in Labor Force

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

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

#	Zip Code	Location	City	Population	% In Labor Force (f)	National Rank
1.	55010	44.544641, -93.153623	Castle Rock, Minnesota	29	78.57 %	#66
2.	56356	45.628804, -94.753835	New Munich, Minnesota	146	76.47 %	#73
3.	55402	44.975968, -93.271425	Minneapolis, Minnesota	176	72.94 %	#88
4.	56741	49.310491, -94.850100	Oak Island, Minnesota	31	68.42 %	#127
5.	56313	45.785999, -93.553512	Bock, Minnesota	52	65.21 %	#166
6.	55455	44.971734, -93.235244	Minneapolis, Minnesota	2,036	58.65 %	#381
7.	56680	47.659089, -93.957158	Spring Lake, Minnesota	80	58.53 %	#390
8.	55950	43.732509, -92.963421	Lansing, Minnesota	152	57.37 %	#481
9.	55606	47.920026, -89.987848	Hovland, Minnesota	272	55.63 %	#685
10.	56637	47.608115, -93.829972	Talmoon, Minnesota	277	55.17 %	#772
11.	56455	46.477995, -94.017133	Ironton, Minnesota	630	54.95 %	#816
12.	56687	47.501024, -94.994123	Wilton, Minnesota	127	54.16 %	#992
13.	55758	47.510787, -92.744438	Kinney, Minnesota	252	53.75 %	#1,101
14.	56166	44.203001, -95.380986	Revere, Minnesota	267	53.64 %	#1,135
15.	56517	47.551206, -96.529310	Beltrami, Minnesota	310	53.47 %	#1,190
16.	56660	47.985413, -94.226559	Mizpah, Minnesota	301	53.37 %	#1,220
17.	55796	47.944356, -91.786905	Winton, Minnesota	157	53.22 %	#1,276
18.	56328	45.955721, -94.514478	Flensburg, Minnesota	143	53.08 %	#1,322
19.	55712	46.272648, -92.458257	Bruno, Minnesota	401	52.83 %	#1,420
20.	55116	44.910719, -93.169581	Saint Paul, Minnesota	23,552	52.78 %	#1,438
21.	55105	44.934838, -93.165705	Saint Paul, Minnesota	27,818	52.40 %	#1,586
22.	56436	47.123381, -94.679564	Benedict, Minnesota	290	52.20 %	#1,668
23.	56020	43.607381, -93.538328	Conger, Minnesota	124	52.05 %	#1,742
24.	56666	48.029608, -94.857469	Ponemah, Minnesota	1,029	52.05 %	#1,745
25.	55756	46.357570, -92.608367	Kerrick, Minnesota	296	52.02 %	#1,763
26.	56560	46.841159, -96.737393	Moorhead, Minnesota	35,005	51.88 %	#1,828
27.	56670	47.850640, -94.887473	Redby, Minnesota	2,137	51.88 %	#1,830
28.	55807	46.736994, -92.173008	Duluth, Minnesota	10,302	51.54 %	#2,005
29.	56671	47.895133, -95.305386	Redlake, Minnesota	1,884	51.47 %	#2,050
30.	55753	47.398412, -93.075789	Keewatin, Minnesota	1,061	51.42 %	#2,070
31.	56701	48.129737, -96.194443	Thief River Falls, Minnesota	12,340	51.20 %	#2,203
32.	56516	47.434774, -95.988880	Bejou, Minnesota	318	51.20 %	#2,207
33.	56452	46.963298, -94.466583	Hackensack, Minnesota	1,811	51.14 %	#2,245
34.	55084	45.462591, -92.716225	Taylors Falls, Minnesota	1,431	50.92 %	#2,392
35.	55128	44.987546, -92.963553	Saint Paul, Minnesota	27,309	50.92 %	#2,399
36.	56641	47.222364, -94.252758	Federal Dam, Minnesota	338	50.86 %	#2,449
37.	56158	43.640672, -96.061481	Magnolia, Minnesota	396	50.85 %	#2,456
38.	56633	47.328909, -94.536311	Cass Lake, Minnesota	4,323	50.77 %	#2,527
39.	56207	45.505918, -96.066571	Alberta, Minnesota	352	50.71 %	#2,581
40.	56140	43.898613, -96.352976	Ihlen, Minnesota	131	50.68 %	#2,598
41.	56735	48.931143, -96.554290	Lancaster, Minnesota	880	50.60 %	#2,661
42.	55104	44.954158, -93.159601	Saint Paul, Minnesota	46,133	50.55 %	#2,704
43.	55119	44.942599, -93.005601	Saint Paul, Minnesota	37,778	50.52 %	#2,741
44.	55811	46.843194, -92.226430	Duluth, Minnesota	25,294	50.49 %	#2,767
45.	55036	45.870777, -93.109172	Henriette, Minnesota	198	50.48 %	#2,777
46.	55411	44.999752, -93.297980	Minneapolis, Minnesota	31,689	50.47 %	#2,784
47.	56384	45.805558, -94.573675	Upsala, Minnesota	346	50.30 %	#2,942
48.	56032	43.762947, -93.556522	Freeborn, Minnesota	332	50.30 %	#2,947
49.	55076	44.840187, -93.037013	Inver Grove Heights, Minnesota	18,589	50.29 %	#2,953
50.	56669	48.426275, -93.167915	Kabetogama, Minnesota	402	50.26 %	#2,977
51.	55406	44.938334, -93.221638	Minneapolis, Minnesota	33,033	50.01 %	#3,214
52.	55607	47.627970, -91.457307	Isabella, Minnesota	126	50.00 %	#3,390
53.	55429	45.063552, -93.341097	Minneapolis, Minnesota	25,930	49.88 %	#3,488
54.	56240	45.571401, -96.469666	Graceville, Minnesota	1,121	49.88 %	#3,490
55.	56082	44.339326, -94.027736	Saint Peter, Minnesota	12,232	49.86 %	#3,507
56.	56267	45.583774, -95.922393	Morris, Minnesota	6,739	49.86 %	#3,513
57.	56761	48.595533, -95.675823	Wannaska, Minnesota	569	49.83 %	#3,552
58.	55433	45.160411, -93.314839	Minneapolis, Minnesota	34,714	49.81 %	#3,568
59.	56165	43.725343, -95.703057	Reading, Minnesota	419	49.80 %	#3,579
60.	56716	47.751878, -96.557274	Crookston, Minnesota	9,894	49.74 %	#3,655
61.	55717	47.059050, -92.460469	Canyon, Minnesota	376	49.71 %	#3,688
62.	55122	44.811688, -93.194418	Saint Paul, Minnesota	28,019	49.67 %	#3,748
63.	55787	46.695191, -93.099700	Tamarack, Minnesota	362	49.64 %	#3,777
64.	55987	43.971432, -91.653488	Winona, Minnesota	34,771	49.64 %	#3,778
65.	55343	44.914356, -93.411657	Hopkins, Minnesota	24,475	49.63 %	#3,799
66.	56557	47.330885, -95.861050	Mahnomen, Minnesota	2,833	49.62 %	#3,810
67.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	49.62 %	#3,811
68.	56027	43.523843, -94.092773	Elmore, Minnesota	1,188	49.58 %	#3,860
69.	56672	47.054410, -94.051061	Remer, Minnesota	1,934	49.58 %	#3,865
70.	55117	45.003562, -93.091280	Saint Paul, Minnesota	39,578	49.56 %	#3,887
71.	55370	44.777180, -94.036783	Plato, Minnesota	787	49.56 %	#3,889
72.	56239	44.508064, -95.910221	Ghent, Minnesota	582	49.54 %	#3,919
73.	56628	47.679426, -93.550995	Bigfork, Minnesota	1,702	49.51 %	#3,963
74.	55943	43.782867, -91.582769	Houston, Minnesota	3,002	49.50 %	#3,977
75.	55601	47.259633, -91.298629	Beaver Bay, Minnesota	206	49.47 %	#4,023
76.	55901	44.071655, -92.507712	Rochester, Minnesota	42,221	49.42 %	#4,083
77.	55112	45.081866, -93.190493	Saint Paul, Minnesota	45,035	49.41 %	#4,097
78.	55417	44.902611, -93.231692	Minneapolis, Minnesota	25,117	49.41 %	#4,098
79.	55120	44.874984, -93.152093	Saint Paul, Minnesota	4,722	49.34 %	#4,193
80.	55716	47.321452, -93.267196	Calumet, Minnesota	383	49.32 %	#4,231
81.	56450	46.246125, -93.820572	Garrison, Minnesota	1,015	49.30 %	#4,267
82.	55412	45.025972, -93.300288	Minneapolis, Minnesota	25,010	49.29 %	#4,285
83.	55808	46.666411, -92.259600	Duluth, Minnesota	5,927	49.28 %	#4,296
84.	56164	44.039972, -96.331600	Pipestone, Minnesota	5,958	49.28 %	#4,297
85.	56167	43.552196, -95.384891	Round Lake, Minnesota	878	49.28 %	#4,298
86.	56029	43.530047, -93.522279	Emmons, Minnesota	758	49.27 %	#4,320
87.	55426	44.956560, -93.381608	Minneapolis, Minnesota	25,458	49.25 %	#4,354
88.	55410	44.913345, -93.316942	Minneapolis, Minnesota	18,435	49.22 %	#4,412
89.	56172	44.003780, -95.774716	Slayton, Minnesota	3,105	49.22 %	#4,415
90.	55934	44.007826, -92.266784	Eyota, Minnesota	2,770	49.20 %	#4,450
91.	55434	45.163716, -93.250487	Minneapolis, Minnesota	27,553	49.20 %	#4,451
92.	56136	44.508856, -96.399099	Hendricks, Minnesota	1,194	49.14 %	#4,553
93.	55976	43.866532, -92.504383	Stewartville, Minnesota	6,923	49.07 %	#4,677
94.	56520	46.275210, -96.502135	Breckenridge, Minnesota	4,182	49.07 %	#4,679
95.	56581	47.459060, -96.777148	Shelly, Minnesota	364	49.06 %	#4,705
96.	56232	44.931109, -96.045370	Dawson, Minnesota	2,497	49.05 %	#4,724
97.	55805	46.799943, -92.098704	Duluth, Minnesota	11,028	49.05 %	#4,725
98.	56303	45.580031, -94.217226	Saint Cloud, Minnesota	23,601	49.04 %	#4,747
99.	55126	45.085674, -93.134938	Saint Paul, Minnesota	25,377	49.03 %	#4,766
100.	56101	43.885011, -95.144745	Windom, Minnesota	5,960	49.00 %	#4,829

1-100 out of 862 total

1 2 3 4 5 6 ... [ Last >> ] ... [ Next >> ]

% 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