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

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Female / Male Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
United States
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female / Male Ratio in the United States

0.00
20,000.00
Zip Codes with the Highest Female / Male Ratio in the United States Map

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

Zip Code Females / 100 Males vs State vs National
1.01063, Massachusetts16,780.00104.85(+16.7k)#1102.03(+16.7k)#1
2.44101, Ohio4,876.92102.93(+4.77k)#1102.03(+4.77k)#2
3.94613, California4,813.33100.14(+4.71k)#1102.03(+4.71k)#3
4.14302, New York4,480.00104.80(+4.38k)#1102.03(+4.38k)#4
5.47876, Indiana4,062.50101.87(+3.96k)#1102.03(+3.96k)#5
6.65215, Missouri3,885.71102.84(+3.78k)#1102.03(+3.78k)#6
7.16155, Pennsylvania1,771.43102.85(+1.67k)#1102.03(+1.67k)#7
8.95375, California1,525.00100.14(+1.42k)#2102.03(+1.42k)#8
9.76599, Texas1,456.48100.46(+1.36k)#1102.03(+1.35k)#9
10.38947, Mississippi1,400.00105.44(+1.29k)#1102.03(+1.30k)#10
11.84529, Utah1,383.3397.78(+1.29k)#1102.03(+1.28k)#11
12.57439, South Dakota1,300.0097.51(+1.20k)#1102.03(+1.20k)#12
13.70558, Louisiana1,100.00103.95(+996)#1102.03(+998)#13
14.40049, Kentucky1,088.89102.09(+987)#1102.03(+987)#14
15.24020, Virginia1,064.91102.17(+963)#1102.03(+963)#15
16.30573, Georgia877.78104.67(+773)#1102.03(+776)#16
17.36476, Alabama766.67105.69(+661)#1102.03(+665)#17
18.25699, West Virginia733.33100.85(+632)#1102.03(+631)#18
19.30756, Georgia700.00104.67(+595)#2102.03(+598)#19
20.24464, Virginia689.29102.17(+587)#2102.03(+587)#20
21.19345, Pennsylvania663.95102.85(+561)#2102.03(+562)#21
22.24595, Virginia630.95102.17(+529)#3102.03(+529)#22
23.12471, New York602.44104.80(+498)#2102.03(+500)#23
24.17606, Pennsylvania579.49102.85(+477)#3102.03(+477)#24
25.01347, Massachusetts567.74104.85(+463)#2102.03(+466)#25
26.08528, New Jersey563.64103.42(+460)#1102.03(+462)#26
27.57562, South Dakota544.4497.51(+447)#2102.03(+442)#27
28.22845, Virginia544.44102.17(+442)#4102.03(+442)#28
29.77876, Texas542.31100.46(+442)#2102.03(+440)#29
30.43005, Ohio534.25102.93(+431)#2102.03(+432)#30
31.25134, West Virginia525.00100.85(+424)#2102.03(+423)#31
32.26438, West Virginia525.00100.85(+424)#3102.03(+423)#32
33.71316, Louisiana516.67103.95(+413)#2102.03(+415)#33
34.22972, Virginia508.47102.17(+406)#5102.03(+406)#34
35.02584, Massachusetts500.00104.85(+395)#3102.03(+398)#35
36.87580, New Mexico497.78101.19(+397)#1102.03(+396)#36
37.84530, Utah494.7497.78(+397)#2102.03(+393)#37
38.24984, West Virginia492.31100.85(+391)#4102.03(+390)#38
39.04019, Maine487.50103.06(+384)#1102.03(+385)#39
40.90747, California483.33100.14(+383)#3102.03(+381)#40
41.96126, California478.85100.14(+379)#4102.03(+377)#41
42.12961, New York477.27104.80(+372)#3102.03(+375)#42
43.24848, West Virginia468.75100.85(+368)#5102.03(+367)#43
44.15454, Pennsylvania450.00102.85(+347)#4102.03(+348)#44
45.64432, Missouri450.00102.84(+347)#2102.03(+348)#45
46.87715, New Mexico446.08101.19(+345)#2102.03(+344)#46
47.01242, Massachusetts436.54104.85(+332)#4102.03(+335)#47
48.23357, Virginia434.19102.17(+332)#6102.03(+332)#48
49.49335, Michigan430.77101.92(+329)#1102.03(+329)#49
50.15082, Pennsylvania429.73102.85(+327)#5102.03(+328)#50
51.03890, New Hampshire426.67100.66(+326)#1102.03(+325)#51
52.16361, Pennsylvania425.00102.85(+322)#6102.03(+323)#52
53.22723, Virginia423.53102.17(+321)#7102.03(+321)#53
54.12720, New York415.38104.80(+311)#4102.03(+313)#54
55.25076, West Virginia415.00100.85(+314)#6102.03(+313)#55
56.02873, Rhode Island414.29104.38(+310)#1102.03(+312)#56
57.07961, New Jersey402.99103.42(+300)#2102.03(+301)#57
58.02872, Rhode Island392.31104.38(+288)#2102.03(+290)#58
59.49074, Michigan386.67101.92(+285)#2102.03(+285)#59
60.70836, Louisiana385.54103.95(+282)#3102.03(+284)#60
61.79091, Texas380.00100.46(+280)#3102.03(+278)#61
62.64858, Missouri378.26102.84(+275)#3102.03(+276)#62
63.29733, South Carolina372.21105.29(+267)#1102.03(+270)#63
64.15007, Pennsylvania371.43102.85(+269)#7102.03(+269)#64
65.53571, Wisconsin371.4399.88(+272)#1102.03(+269)#65
66.96037, California368.18100.14(+268)#5102.03(+266)#66
67.39326, Mississippi364.81105.44(+259)#2102.03(+263)#67
68.33877, Florida364.71103.44(+261)#1102.03(+263)#68
69.28089, North Carolina363.89104.57(+259)#1102.03(+262)#69
70.15443, Pennsylvania358.70102.85(+256)#8102.03(+257)#70
71.72332, Arkansas358.06102.65(+255)#1102.03(+256)#71
72.65286, Missouri357.14102.84(+254)#4102.03(+255)#72
73.40041, Kentucky356.96102.09(+255)#2102.03(+255)#73
74.29594, South Carolina355.56105.29(+250)#2102.03(+254)#74
75.18239, Pennsylvania354.17102.85(+251)#9102.03(+252)#75
76.12530, New York353.85104.80(+249)#5102.03(+252)#76
77.23887, Virginia351.02102.17(+249)#8102.03(+249)#77
78.36727, Alabama350.00105.69(+244)#2102.03(+248)#78
79.24843, West Virginia350.00100.85(+249)#7102.03(+248)#79
80.49263, Michigan350.00101.92(+248)#3102.03(+248)#80
81.56210, Minnesota350.0099.73(+250)#1102.03(+248)#81
82.99647, Alaska350.0091.28(+259)#1102.03(+248)#82
83.35060, Alabama348.78105.69(+243)#3102.03(+247)#83
84.22989, Virginia346.67102.17(+245)#9102.03(+245)#84
85.84623, Utah344.1297.78(+246)#3102.03(+242)#85
86.72955, Arkansas342.57102.65(+240)#2102.03(+241)#86
87.87564, New Mexico340.00101.19(+239)#3102.03(+238)#87
88.17727, Pennsylvania340.00102.85(+237)#10102.03(+238)#88
89.17056, Pennsylvania337.50102.85(+235)#11102.03(+235)#89
90.76129, Texas337.02100.46(+237)#4102.03(+235)#90
91.21781, Maryland330.00105.28(+225)#1102.03(+228)#91
92.23909, Virginia328.13102.17(+226)#10102.03(+226)#92
93.24888, West Virginia327.27100.85(+226)#8102.03(+225)#93
94.85531, Arizona325.49100.32(+225)#1102.03(+223)#94
95.82332, Wyoming325.0095.34(+230)#1102.03(+223)#95
96.93208, California324.00100.14(+224)#6102.03(+222)#96
97.76930, Texas323.53100.46(+223)#5102.03(+221)#97
98.78879, Texas323.44100.46(+223)#6102.03(+221)#98
99.15638, Pennsylvania321.43102.85(+219)#12102.03(+219)#99
100.44809, Ohio320.00102.93(+217)#3102.03(+218)#100

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in the United States?
Top 10 Zip Codes with the Highest Female / Male Ratio in the United States are:
#1
16,780.00
#2
4,876.92
#3
4,813.33
#4
4,480.00
#5
4,062.50
#6
3,885.71
#7
1,771.43
#8
1,525.00
#9
1,456.48
#10
1,400.00
What zip code has the Highest Female / Male Ratio in the United States?
01063 has the Highest Female / Male Ratio in the United States with 16,780.00.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 102.03.