Zip Codes with the Highest Female to Male Ratio in the United States

United States Report:

Female to Male Ratio

#	Zip Code	Location	City	Population	Females / Male	National Rank
1.	47876	39.505295, -87.461502	Saint Mary Of The Woods, Indiana	427	426.00	#1
2.	19345	40.029459, -75.565301	Immaculata, Pennsylvania	581	144.25	#2
3.	71656	33.590820, -91.812336	Monticello, Arkansas	121	39.33	#3
4.	24595	37.557868, -79.089019	Sweet Briar, Virginia	860	27.67	#4
5.	36849	32.601694, -85.485556	Auburn University, Alabama	1,997	8.51	#5
6.	39632	31.055681, -90.466091	Chatawa, Mississippi	84	8.33	#6
7.	16155	41.068219, -80.510814	Villa Maria, Pennsylvania	124	6.29	#7
8.	02661	41.676348, -70.039690	South Harwich, Massachusetts	6	5.00	#8
9.	24020	37.355539, -79.941947	Roanoke, Virginia	131	4.70	#9
10.	37228	36.196291, -86.803583	Nashville, Tennessee	331	4.02	#10
11.	18936	40.220190, -75.229147	Montgomeryville, Pennsylvania	5	4.00	#11
12.	10048	40.711665, -74.012417	New York, New York	55	3.23	#12
13.	35052	33.586867, -86.406479	Cook Springs, Alabama	278	2.92	#13
14.	99513	61.214772, -149.885658	Anchorage, Alaska	268	2.83	#14
15.	11042	40.758295, -73.697102	New Hyde Park, New York	513	2.66	#15
16.	29177	34.141302, -81.269273	White Rock, South Carolina	463	2.43	#16
17.	17016	40.273914, -76.407758	Cornwall, Pennsylvania	582	2.40	#17
18.	31018	33.006136, -82.637562	Davisboro, Georgia	2,287	2.37	#18
19.	19436	40.201504, -75.246987	Gwynedd, Pennsylvania	497	2.36	#19
20.	72467	35.840356, -90.679448	State University, Arkansas	464	2.34	#20
21.	64432	40.263524, -94.667831	Clyde, Missouri	123	2.32	#21
22.	76798	31.547131, -97.120333	Waco, Texas	3,123	2.16	#22
23.	38677	34.367037, -89.535128	University, Mississippi	3,329	2.03	#23
24.	93610	37.100948, -120.270136	Chowchilla, California	19,383	2.02	#24
25.	54760	44.424580, -91.208384	Pigeon Falls, Wisconsin	30	2.00	#25
26.	51459	42.041022, -94.633514	Ralston, Iowa	18	2.00	#26
27.	97331	44.564551, -123.280960	Corvallis, Oregon	1,349	1.98	#27
28.	84022	40.166288, -113.033695	Dugway, Utah	2,187	1.97	#28
29.	39174	32.402536, -90.160858	Tougaloo, Mississippi	827	1.91	#29
30.	63382	39.312046, -91.491013	Vandalia, Missouri	4,955	1.89	#30
31.	24011	37.270198, -79.941523	Roanoke, Virginia	75	1.88	#31
32.	11430	40.650916, -73.788526	Jamaica, New York	229	1.86	#32
33.	95232	38.358464, -120.579304	Glencoe, California	17	1.83	#33
34.	82837	44.790905, -106.198347	Leiter, Wyoming	28	1.80	#35
35.	11005	40.756578, -73.714178	Floral Park, New York	2,195	1.76	#36
36.	32079	29.979526, -81.809546	Penney Farms, Florida	309	1.73	#37
37.	15625	40.266702, -79.675270	Darragh, Pennsylvania	41	1.73	#38
38.	24910	37.745946, -80.656318	Alderson, West Virginia	5,493	1.72	#39
39.	24142	37.137882, -80.550906	Radford, Virginia	2,755	1.72	#40
40.	10976	41.021423, -73.922172	Sparkill, New York	1,795	1.69	#41
41.	66506	39.195933, -96.581034	Manhattan, Kansas	2,476	1.68	#42
42.	39762	33.453406, -88.791762	Mississippi State, Mississippi	856	1.67	#43
43.	26438	39.346741, -80.318876	Spelter, West Virginia	24	1.67	#44
44.	95481	39.131189, -123.163371	Talmage, California	98	1.65	#45
45.	27568	35.512027, -78.239250	Pine Level, North Carolina	74	1.64	#46
46.	45838	40.739946, -84.476686	Elgin, Ohio	29	1.64	#47
47.	95736	39.009780, -120.978273	Weimar, California	29	1.64	#48
48.	67150	37.048748, -98.220065	Waldron, Kansas	29	1.64	#49
49.	82061	41.445182, -105.161358	Horse Creek, Wyoming	21	1.63	#50
50.	61845	40.373621, -88.396814	Foosland, Illinois	1,839	1.62	#51
51.	67334	37.025634, -96.178218	Chautauqua, Kansas	76	1.62	#52
52.	29122	34.244192, -81.328042	Peak, South Carolina	60	1.61	#53
53.	36031	32.252141, -85.723012	Fort Davis, Alabama	125	1.60	#54
54.	08759	39.947674, -74.366913	Manchester Township, New Jersey	17,417	1.59	#55
55.	22974	37.959807, -78.273547	Troy, Virginia	3,954	1.58	#56
56.	44243	41.148084, -81.340933	Kent, Ohio	5,277	1.58	#57
57.	33620	28.062135, -82.413571	Tampa, Florida	2,532	1.58	#58
58.	41651	37.466306, -82.758767	Minnie, Kentucky	270	1.57	#59
59.	41855	37.156689, -82.761814	Thornton, Kentucky	54	1.57	#60
60.	01060	42.324994, -72.634359	Northampton, Massachusetts	16,274	1.56	#62
61.	56356	45.628804, -94.753835	New Munich, Minnesota	146	1.56	#63
62.	43909	40.068145, -80.818476	Blaine, Ohio	87	1.56	#64
63.	72311	34.723570, -90.891740	Aubrey, Arkansas	174	1.56	#65
64.	12727	41.660107, -74.982500	Cochecton Center, New York	23	1.56	#66
65.	82084	41.023724, -105.444307	Tie Siding, Wyoming	23	1.56	#67
66.	72383	34.487922, -91.043086	Turner, Arkansas	74	1.55	#68
67.	39148	32.055635, -89.990157	Piney Woods, Mississippi	56	1.55	#69
68.	29423	32.980483, -80.070695	Charleston, South Carolina	791	1.54	#70
69.	93282	36.120706, -119.516717	Waukena, California	61	1.54	#71
70.	02482	42.292668, -71.298727	Wellesley, Massachusetts	12,445	1.54	#72
71.	26615	38.815537, -80.708877	Copen, West Virginia	132	1.54	#73
72.	51502	41.272467, -95.795890	Council Bluffs, Iowa	137	1.54	#74
73.	43317	40.479847, -82.683235	Chesterville, Ohio	104	1.54	#75
74.	14478	42.572191, -77.128404	Keuka Park, New York	1,364	1.54	#76
75.	60420	41.088785, -88.424323	Dwight, Illinois	6,123	1.53	#77
76.	95312	37.420273, -120.665270	Cressey, California	43	1.53	#78
77.	98641	46.562265, -124.028893	Oysterville, Washington	48	1.53	#79
78.	00968	18.407775, -66.101312	Guaynabo, Puerto Rico	3,747	1.52	#80
79.	24845	37.523033, -81.789874	Ikes Fork, West Virginia	131	1.52	#81
80.	48830	43.363223, -84.836793	Elm Hall, Michigan	73	1.52	#82
81.	15752	40.546040, -79.279823	Kent, Pennsylvania	95	1.50	#83
82.	73561	34.028346, -97.644441	Oscar, Oklahoma	15	1.50	#84
83.	50649	42.662507, -92.910409	Kesley, Iowa	25	1.50	#85
84.	20860	39.156718, -77.028011	Sandy Spring, Maryland	1,251	1.50	#86
85.	66615	39.056420, -95.915276	Topeka, Kansas	1,967	1.49	#87
86.	12742	41.724328, -74.723518	Harris, New York	132	1.49	#88
87.	25507	38.396565, -82.553683	Ceredo, West Virginia	1,270	1.49	#89
88.	15472	39.919038, -79.716914	Oliver, Pennsylvania	320	1.48	#90
89.	58224	48.174366, -97.957076	Dahlen, North Dakota	57	1.48	#91
90.	72043	35.633499, -91.259724	Diaz, Arkansas	198	1.48	#92
91.	98174	47.604569, -122.335359	Seattle, Washington	180	1.47	#93
92.	41612	37.354479, -82.721697	Bypro, Kentucky	165	1.46	#94
93.	55435	44.873981, -93.335255	Minneapolis, Minnesota	11,268	1.46	#95
94.	94595	37.862128, -122.075197	Walnut Creek, California	18,019	1.46	#96
95.	62059	38.653018, -90.173336	Lovejoy, Illinois	668	1.46	#97
96.	22507	37.759492, -76.499208	Lively, Virginia	54	1.45	#98
97.	28733	35.443836, -83.833423	Fontana Dam, North Carolina	27	1.45	#99
98.	31201	32.804382, -83.617554	Macon, Georgia	10,845	1.44	#100
99.	37326	35.032250, -84.377420	Ducktown, Tennessee	625	1.44	#101
100.	71253	32.996626, -91.316627	Kilbourne, Louisiana	200	1.44	#102

1-100 out of 31,794 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