Zip Codes with the Highest Percentage of Males in Labor Force in the United States

United States Report:

Percentage of Males in Labor Force

#	Zip Code	Location	City	Population	% In Labor Force (m)	National Rank
1.	63938	36.519966, -90.264293	Fagus, Missouri	31	100.00 %	#1
2.	63464	39.964496, -92.064581	Plevna, Missouri	43	100.00 %	#2
3.	71452	31.610048, -92.972866	Melrose, Louisiana	48	100.00 %	#3
4.	70747	30.874086, -91.676393	Innis, Louisiana	97	100.00 %	#4
5.	64192	38.955811, -94.523770	Kansas City, Missouri	19	100.00 %	#5
6.	72133	34.174795, -91.567555	Reydell, Arkansas	23	100.00 %	#6
7.	72666	35.948041, -93.249071	Parthenon, Arkansas	83	100.00 %	#7
8.	78001	28.261342, -99.294419	Artesia Wells, Texas	41	100.00 %	#8
9.	78074	29.949425, -98.785953	Waring, Texas	59	100.00 %	#9
10.	79759	31.841338, -102.749297	Notrees, Texas	20	100.00 %	#10
11.	78670	29.773232, -97.817687	Staples, Texas	50	100.00 %	#11
12.	79259	34.369432, -100.415313	Tell, Texas	60	100.00 %	#12
13.	75247	32.813447, -96.879784	Dallas, Texas	254	100.00 %	#13
14.	82335	41.804194, -106.773767	Walcott, Wyoming	44	100.00 %	#14
15.	82058	42.278751, -105.618185	Garrett, Wyoming	20	100.00 %	#15
16.	84753	37.969014, -113.857429	Modena, Utah	87	100.00 %	#16
17.	81248	38.395067, -106.477757	Sargents, Colorado	60	100.00 %	#17
18.	84313	41.149551, -113.661460	Grouse Creek, Utah	121	100.00 %	#18
19.	90822	33.778436, -118.118648	Long Beach, California	422	100.00 %	#19
20.	95232	38.358464, -120.579304	Glencoe, California	17	100.00 %	#20
21.	95364	38.224869, -119.755729	Pinecrest, California	232	100.00 %	#21
22.	95978	39.904002, -121.527823	Stirling City, California	16	100.00 %	#22
23.	95721	38.851842, -120.076204	Echo Lake, California	60	100.00 %	#23
24.	95424	38.970739, -122.663820	Clearlake Park, California	91	100.00 %	#24
25.	87943	33.277286, -107.767367	Winston, New Mexico	169	100.00 %	#25
26.	88027	32.036655, -106.685296	Chamberino, New Mexico	295	100.00 %	#26
27.	88040	31.941716, -108.387538	Hachita, New Mexico	86	100.00 %	#27
28.	88055	32.834693, -108.870557	Redrock, New Mexico	53	100.00 %	#28
29.	85922	33.557802, -109.275383	Blue, Arizona	36	100.00 %	#29
30.	89028	35.038911, -114.653802	Laughlin, Nevada	19	100.00 %	#30
31.	99732	63.903609, -142.055746	Chicken, Alaska	27	100.00 %	#31
32.	98616	46.087943, -122.266703	Cougar, Washington	96	100.00 %	#32
33.	99850	58.414534, -135.345832	Juneau, Alaska	10	100.00 %	#33
34.	99146	48.957294, -118.280382	Laurier, Washington	44	100.00 %	#34
35.	99695	61.426177, -150.677083	Anchorage, Alaska	35	100.00 %	#35
36.	19736	39.791301, -75.649270	Yorklyn, Delaware	63	100.00 %	#36
37.	24855	37.409498, -81.425190	Kyle, West Virginia	62	100.00 %	#37
38.	26215	38.712752, -80.395143	Cleveland, West Virginia	112	100.00 %	#38
39.	20139	38.640297, -77.691481	Casanova, Virginia	36	100.00 %	#39
40.	15347	40.214274, -80.228805	Meadow Lands, Pennsylvania	62	100.00 %	#40
41.	12903	44.684070, -73.445756	Plattsburgh, New York	44	100.00 %	#41
42.	17576	40.037195, -76.196760	Smoketown, Pennsylvania	119	100.00 %	#42
43.	14614	43.157055, -77.615197	Rochester, New York	926	100.00 %	#44
44.	47445	39.125296, -87.189345	Midland, Indiana	41	100.00 %	#45
45.	48743	44.442112, -83.876347	Long Lake, Michigan	25	100.00 %	#46
46.	19710	39.793040, -75.587754	Montchanin, Delaware	38	100.00 %	#47
47.	21522	39.610099, -79.241125	Bittinger, Maryland	53	100.00 %	#48
48.	18936	40.220190, -75.229147	Montgomeryville, Pennsylvania	5	100.00 %	#49
49.	21031	39.488697, -76.657346	Hunt Valley, Maryland	59	100.00 %	#50
50.	26203	38.535244, -80.572969	Erbacon, West Virginia	261	100.00 %	#51
51.	27342	36.075555, -79.629701	Sedalia, North Carolina	30	100.00 %	#52
52.	25855	37.942806, -81.151143	Hilltop, West Virginia	38	100.00 %	#53
53.	25866	38.008644, -81.137222	Lochgelly, West Virginia	100	100.00 %	#54
54.	26138	39.022534, -81.188657	Brohard, West Virginia	116	100.00 %	#55
55.	24316	36.950316, -81.687259	Broadford, Virginia	26	100.00 %	#56
56.	23001	37.292591, -76.408678	Achilles, Virginia	28	100.00 %	#57
57.	25088	38.390103, -81.216286	Glen, West Virginia	58	100.00 %	#59
58.	24843	37.477155, -81.693534	Hensley, West Virginia	58	100.00 %	#61
59.	44619	40.901082, -80.956050	Damascus, Ohio	27	100.00 %	#62
60.	44850	41.034840, -82.677374	New Haven, Ohio	124	100.00 %	#63
61.	32013	30.185994, -83.295449	Day, Florida	58	100.00 %	#64
62.	32360	30.188405, -84.845968	Telogia, Florida	21	100.00 %	#65
63.	32422	30.718618, -86.039192	Argyle, Florida	37	100.00 %	#66
64.	32447	30.759193, -85.254106	Marianna, Florida	308	100.00 %	#67
65.	39161	32.502231, -89.868785	Sandhill, Mississippi	82	100.00 %	#68
66.	40849	36.880342, -83.134079	Lejunior, Kentucky	118	100.00 %	#69
67.	38685	34.550154, -89.614629	Waterford, Mississippi	84	100.00 %	#70
68.	39060	32.351891, -90.269559	Clinton, Mississippi	54	100.00 %	#71
69.	36205	33.722041, -85.785751	Anniston, Alabama	19	100.00 %	#72
70.	61324	41.769393, -89.413342	Eldena, Illinois	107	100.00 %	#73
71.	60602	41.883067, -87.629187	Chicago, Illinois	70	100.00 %	#74
72.	60604	41.878266, -87.626150	Chicago, Illinois	78	100.00 %	#75
73.	61077	42.237411, -89.358030	Seward, Illinois	42	100.00 %	#76
74.	61091	41.905967, -89.542148	Woosung, Illinois	10	100.00 %	#77
75.	61758	40.532092, -88.845076	Merna, Illinois	87	100.00 %	#78
76.	54841	45.616237, -91.777697	Haugen, Wisconsin	25	100.00 %	#79
77.	54240	44.326554, -87.622718	Tisch Mills, Wisconsin	20	100.00 %	#80
78.	52235	41.554750, -91.535411	Hills, Iowa	8	100.00 %	#81
79.	50059	41.913646, -94.342972	Cooper, Iowa	14	100.00 %	#82
80.	49761	45.554470, -84.530521	Mullett Lake, Michigan	31	100.00 %	#83
81.	08625	40.207185, -74.756664	Trenton, New Jersey	1,834	100.00 %	#84
82.	04541	43.891388, -69.473697	Chamberlain, Maine	28	100.00 %	#85
83.	06376	41.294723, -72.255852	South Lyme, Connecticut	68	100.00 %	#86
84.	59921	48.607014, -113.967218	Lake Mc Donald, Montana	2	100.00 %	#87
85.	29665	34.740696, -82.901212	Newry, South Carolina	52	100.00 %	#88
86.	30275	33.432865, -84.870644	Sargent, Georgia	158	100.00 %	#89
87.	28733	35.443836, -83.833423	Fontana Dam, North Carolina	27	100.00 %	#90
88.	28749	35.849068, -82.077736	Little Switzerland, North Carolina	46	100.00 %	#91
89.	42131	36.829776, -85.909054	Etoile, Kentucky	63	100.00 %	#92
90.	41426	37.783721, -82.997578	Falcon, Kentucky	91	100.00 %	#93
91.	41464	37.650715, -82.951777	Royalton, Kentucky	135	100.00 %	#94
92.	37684	36.308302, -82.376077	Mountain Home, Tennessee	404	100.00 %	#95
93.	36564	30.470380, -87.919193	Point Clear, Alabama	107	100.00 %	#96
94.	37213	36.166795, -86.766631	Nashville, Tennessee	137	100.00 %	#97
95.	28702	35.396082, -83.580634	Almond, North Carolina	28	100.00 %	#98
96.	63433	39.560628, -91.184753	Ashburn, Missouri	56	100.00 %	#99
97.	96863	21.436909, -157.745489	M C B H Kaneohe Bay, Hawaii	2,505	97.96 %	#100
98.	98421	47.257939, -122.401802	Tacoma, Washington	603	96.93 %	#101
99.	96119	41.042003, -120.506086	Madeline, California	70	95.23 %	#102
100.	59276	48.952233, -105.212453	Whitetail, Montana	71	93.33 %	#103

1-100 out of 31,706 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