Zip Codes with the Highest Female / Male Ratio in Wisconsin

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

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300.00
Zip Codes with the Highest Female / Male Ratio in Wisconsin Map

Zip Codes with the Highest Female / Male Ratio in Wisconsin

Zip Code Females / 100 Males vs State vs National
1.53192268.5799.48(+169)#1101.64(+167)#179
2.54980210.9899.48(+111)#2101.64(+109)#347
3.54214202.5399.48(+103)#3101.64(+101)#389
4.53099200.0099.48(+101)#4101.64(+98.4)#418
5.54931192.6599.48(+93.2)#5101.64(+91.0)#456
6.53167159.3599.48(+59.9)#6101.64(+57.7)#853
7.54857150.0099.48(+50.5)#7101.64(+48.4)#1,088
8.54927146.3999.48(+46.9)#8101.64(+44.7)#1,198
9.54645143.7599.48(+44.3)#9101.64(+42.1)#1,286
10.54625143.6199.48(+44.1)#10101.64(+42.0)#1,292
11.53706143.3399.48(+43.9)#11101.64(+41.7)#1,301
12.53501139.4299.48(+39.9)#12101.64(+37.8)#1,484
13.54858138.2499.48(+38.8)#13101.64(+36.6)#1,526
14.54125137.2399.48(+37.8)#14101.64(+35.6)#1,580
15.54928133.3399.48(+33.9)#15101.64(+31.7)#1,822
16.54541133.0699.48(+33.6)#16101.64(+31.4)#1,852
17.54006128.6199.48(+29.1)#17101.64(+27.0)#2,240
18.53210127.9499.48(+28.5)#18101.64(+26.3)#2,327
19.53718127.2499.48(+27.8)#19101.64(+25.6)#2,403
20.54861125.7799.48(+26.3)#20101.64(+24.1)#2,575
21.54430125.5399.48(+26.1)#21101.64(+23.9)#2,608
22.54112125.0499.48(+25.6)#22101.64(+23.4)#2,669
23.54525125.0099.48(+25.5)#23101.64(+23.4)#2,677
24.53585123.8899.48(+24.4)#24101.64(+22.2)#2,839
25.54871123.4699.48(+24.0)#25101.64(+21.8)#2,906
26.53558123.2599.48(+23.8)#26101.64(+21.6)#2,934
27.54653122.8499.48(+23.4)#27101.64(+21.2)#3,002
28.54530122.7499.48(+23.3)#28101.64(+21.1)#3,020
29.53726121.2099.48(+21.7)#29101.64(+19.6)#3,336
30.54462121.1899.48(+21.7)#30101.64(+19.5)#3,343
31.53004121.1699.48(+21.7)#31101.64(+19.5)#3,346
32.54458120.0099.48(+20.5)#32101.64(+18.4)#3,583
33.54103119.8299.48(+20.3)#33101.64(+18.2)#3,620
34.54651119.8299.48(+20.3)#34101.64(+18.2)#3,622
35.54480119.5399.48(+20.1)#35101.64(+17.9)#3,693
36.53216119.4399.48(+20.0)#36101.64(+17.8)#3,715
37.53811118.8299.48(+19.3)#37101.64(+17.2)#3,859
38.53097118.2699.48(+18.8)#38101.64(+16.6)#4,019
39.53206118.1699.48(+18.7)#39101.64(+16.5)#4,052
40.53405117.9699.48(+18.5)#40101.64(+16.3)#4,096
41.53032117.8499.48(+18.4)#41101.64(+16.2)#4,133
42.53209117.7899.48(+18.3)#42101.64(+16.1)#4,150
43.54966117.5599.48(+18.1)#43101.64(+15.9)#4,213
44.53935117.5099.48(+18.0)#44101.64(+15.9)#4,239
45.54495117.3699.48(+17.9)#45101.64(+15.7)#4,278
46.54212117.3099.48(+17.8)#46101.64(+15.7)#4,293
47.53098117.2999.48(+17.8)#47101.64(+15.6)#4,294
48.53717117.1599.48(+17.7)#48101.64(+15.5)#4,330
49.54413117.0299.48(+17.5)#49101.64(+15.4)#4,361
50.54465116.8799.48(+17.4)#50101.64(+15.2)#4,404
51.54246116.5499.48(+17.1)#51101.64(+14.9)#4,533
52.54841116.5499.48(+17.1)#52101.64(+14.9)#4,536
53.54862116.2899.48(+16.8)#53101.64(+14.6)#4,616
54.54670116.0999.48(+16.6)#54101.64(+14.4)#4,676
55.54180116.0399.48(+16.6)#55101.64(+14.4)#4,698
56.53224115.9699.48(+16.5)#56101.64(+14.3)#4,717
57.53226115.2099.48(+15.7)#57101.64(+13.6)#4,994
58.54210114.5299.48(+15.0)#58101.64(+12.9)#5,243
59.54151114.2799.48(+14.8)#59101.64(+12.6)#5,354
60.54760113.9299.48(+14.4)#60101.64(+12.3)#5,495
61.53925113.8399.48(+14.4)#61101.64(+12.2)#5,527
62.54211113.5799.48(+14.1)#62101.64(+11.9)#5,620
63.53205113.1899.48(+13.7)#63101.64(+11.5)#5,790
64.53969113.1699.48(+13.7)#64101.64(+11.5)#5,808
65.54517112.7999.48(+13.3)#65101.64(+11.1)#5,990
66.53139112.6899.48(+13.2)#66101.64(+11.0)#6,031
67.53222112.6699.48(+13.2)#67101.64(+11.0)#6,038
68.54542112.4699.48(+13.0)#68101.64(+10.8)#6,145
69.54113112.3299.48(+12.8)#69101.64(+10.7)#6,213
70.53806112.1799.48(+12.7)#70101.64(+10.5)#6,295
71.53217111.9799.48(+12.5)#71101.64(+10.3)#6,374
72.53716111.9099.48(+12.4)#72101.64(+10.3)#6,417
73.53526111.7499.48(+12.3)#73101.64(+10.1)#6,492
74.53218111.6499.48(+12.2)#74101.64(+9.99)#6,549
75.54968111.6299.48(+12.1)#75101.64(+9.97)#6,562
76.53572111.6199.48(+12.1)#76101.64(+9.97)#6,565
77.54150111.5799.48(+12.1)#77101.64(+9.93)#6,592
78.54303111.5599.48(+12.1)#78101.64(+9.91)#6,600
79.53228111.5299.48(+12.0)#79101.64(+9.88)#6,612
80.53576111.3899.48(+11.9)#80101.64(+9.74)#6,669
81.53140111.2599.48(+11.8)#81101.64(+9.61)#6,736
82.53083111.2499.48(+11.8)#82101.64(+9.60)#6,740
83.54128111.1699.48(+11.7)#83101.64(+9.51)#6,787
84.54826110.9899.48(+11.5)#84101.64(+9.33)#6,891
85.53223110.8599.48(+11.4)#85101.64(+9.21)#6,976
86.53598110.7999.48(+11.3)#86101.64(+9.15)#7,020
87.53129110.7599.48(+11.3)#87101.64(+9.11)#7,048
88.54889110.6199.48(+11.1)#88101.64(+8.97)#7,122
89.53826110.2299.48(+10.7)#89101.64(+8.58)#7,330
90.53085110.1999.48(+10.7)#90101.64(+8.55)#7,351
91.54821110.1499.48(+10.7)#91101.64(+8.50)#7,387
92.53051110.0699.48(+10.6)#92101.64(+8.42)#7,447
93.53072109.9399.48(+10.5)#93101.64(+8.29)#7,521
94.53532109.8099.48(+10.3)#94101.64(+8.15)#7,608
95.54446109.6399.48(+10.2)#95101.64(+7.99)#7,712
96.54631109.6299.48(+10.1)#96101.64(+7.98)#7,720
97.54025109.5599.48(+10.1)#97101.64(+7.90)#7,774
98.54867109.3899.48(+9.90)#98101.64(+7.73)#7,875
99.54562109.3599.48(+9.88)#99101.64(+7.71)#7,893
100.53130109.3399.48(+9.85)#100101.64(+7.68)#7,916

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Wisconsin?
Top 10 Zip Codes with the Highest Female / Male Ratio in Wisconsin are:
#1
268.57
#2
210.98
#3
202.53
#4
200.00
#5
192.65
#6
159.35
#7
150.00
#8
146.39
#9
143.75
#10
143.61
What zip code has the Highest Female / Male Ratio in Wisconsin?
53192 has the Highest Female / Male Ratio in Wisconsin with 268.57.
What is the Famale to Male Ratio in the State of Wisconsin?
Famale to Male Ratio in Wisconsin is 99.48.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.