Zip Codes with the Highest Male / Female Ratio in Wisconsin

RELATED REPORTS & OPTIONS

Male / Female 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 Male / Female Ratio in Wisconsin

0.00
1,000.00
Zip Codes with the Highest Male / Female Ratio in Wisconsin Map

Zip Codes with the Highest Male / Female Ratio in Wisconsin

Zip Code Males / 100 Females vs State vs National
1.53295823.53100.52(+723)#198.38(+725)#82
2.54417500.00100.52(+399)#298.38(+402)#158
3.54946485.37100.52(+385)#398.38(+387)#162
4.54985278.26100.52(+178)#498.38(+180)#363
5.54464213.64100.52(+113)#598.38(+115)#640
6.53031205.00100.52(+104)#698.38(+107)#699
7.54654197.67100.52(+97.1)#798.38(+99.3)#784
8.53599191.18100.52(+90.7)#898.38(+92.8)#861
9.54979179.94100.52(+79.4)#998.38(+81.6)#1,031
10.54768175.60100.52(+75.1)#1098.38(+77.2)#1,106
11.54513168.52100.52(+68.0)#1198.38(+70.1)#1,243
12.53505164.75100.52(+64.2)#1298.38(+66.4)#1,336
13.54970162.09100.52(+61.6)#1398.38(+63.7)#1,401
14.54933159.09100.52(+58.6)#1498.38(+60.7)#1,477
15.53078155.43100.52(+54.9)#1598.38(+57.0)#1,620
16.54564154.27100.52(+53.7)#1698.38(+55.9)#1,659
17.53203151.87100.52(+51.3)#1798.38(+53.5)#1,747
18.54896151.34100.52(+50.8)#1898.38(+53.0)#1,765
19.53195151.06100.52(+50.5)#1998.38(+52.7)#1,779
20.53933150.72100.52(+50.2)#2098.38(+52.3)#1,799
21.54827147.62100.52(+47.1)#2198.38(+49.2)#1,968
22.53177145.03100.52(+44.5)#2298.38(+46.6)#2,098
23.53963144.28100.52(+43.8)#2398.38(+45.9)#2,133
24.53952143.75100.52(+43.2)#2498.38(+45.4)#2,160
25.54408143.11100.52(+42.6)#2598.38(+44.7)#2,196
26.53825142.49100.52(+42.0)#2698.38(+44.1)#2,237
27.54463141.67100.52(+41.1)#2798.38(+43.3)#2,289
28.54560141.50100.52(+41.0)#2898.38(+43.1)#2,299
29.54632141.20100.52(+40.7)#2998.38(+42.8)#2,320
30.54836140.37100.52(+39.8)#3098.38(+42.0)#2,381
31.54537139.61100.52(+39.1)#3198.38(+41.2)#2,432
32.54152139.58100.52(+39.1)#3298.38(+41.2)#2,434
33.53817139.36100.52(+38.8)#3398.38(+41.0)#2,456
34.54749138.70100.52(+38.2)#3498.38(+40.3)#2,505
35.53529138.67100.52(+38.1)#3598.38(+40.3)#2,506
36.53928137.21100.52(+36.7)#3698.38(+38.8)#2,618
37.54515136.76100.52(+36.2)#3798.38(+38.4)#2,666
38.54820136.39100.52(+35.9)#3898.38(+38.0)#2,708
39.53046136.19100.52(+35.7)#3998.38(+37.8)#2,725
40.54127136.00100.52(+35.5)#4098.38(+37.6)#2,741
41.54628135.66100.52(+35.1)#4198.38(+37.3)#2,795
42.54519135.62100.52(+35.1)#4298.38(+37.2)#2,800
43.53936134.92100.52(+34.4)#4398.38(+36.5)#2,861
44.53950133.98100.52(+33.5)#4498.38(+35.6)#2,956
45.54565133.33100.52(+32.8)#4598.38(+34.9)#3,039
46.54511132.95100.52(+32.4)#4698.38(+34.6)#3,075
47.54207132.86100.52(+32.3)#4798.38(+34.5)#3,084
48.54648132.84100.52(+32.3)#4898.38(+34.5)#3,089
49.54738131.06100.52(+30.5)#4998.38(+32.7)#3,268
50.54842130.97100.52(+30.4)#5098.38(+32.6)#3,279
51.54536130.95100.52(+30.4)#5198.38(+32.6)#3,280
52.54491130.72100.52(+30.2)#5298.38(+32.3)#3,319
53.54731130.18100.52(+29.7)#5398.38(+31.8)#3,388
54.54720129.61100.52(+29.1)#5498.38(+31.2)#3,457
55.53922129.49100.52(+29.0)#5598.38(+31.1)#3,466
56.54644129.41100.52(+28.9)#5698.38(+31.0)#3,477
57.53587128.31100.52(+27.8)#5798.38(+29.9)#3,629
58.53816127.96100.52(+27.4)#5898.38(+29.6)#3,681
59.54459127.77100.52(+27.2)#5998.38(+29.4)#3,718
60.54824127.24100.52(+26.7)#6098.38(+28.9)#3,796
61.53939127.07100.52(+26.5)#6198.38(+28.7)#3,818
62.54613126.94100.52(+26.4)#6298.38(+28.6)#3,837
63.54009126.48100.52(+26.0)#6398.38(+28.1)#3,909
64.54139126.40100.52(+25.9)#6498.38(+28.0)#3,917
65.54435125.95100.52(+25.4)#6598.38(+27.6)#3,976
66.54471125.69100.52(+25.2)#6698.38(+27.3)#4,016
67.53968125.33100.52(+24.8)#6798.38(+26.9)#4,065
68.54921125.08100.52(+24.6)#6898.38(+26.7)#4,096
69.53944125.07100.52(+24.5)#6998.38(+26.7)#4,097
70.54769124.78100.52(+24.3)#7098.38(+26.4)#4,160
71.53964124.70100.52(+24.2)#7198.38(+26.3)#4,175
72.54666124.54100.52(+24.0)#7298.38(+26.2)#4,209
73.53183124.40100.52(+23.9)#7398.38(+26.0)#4,237
74.54932124.19100.52(+23.7)#7498.38(+25.8)#4,278
75.54442124.05100.52(+23.5)#7598.38(+25.7)#4,308
76.53023124.04100.52(+23.5)#7698.38(+25.7)#4,310
77.54612123.90100.52(+23.4)#7798.38(+25.5)#4,332
78.53531123.90100.52(+23.4)#7898.38(+25.5)#4,336
79.54416123.85100.52(+23.3)#7998.38(+25.5)#4,343
80.54759123.77100.52(+23.2)#8098.38(+25.4)#4,355
81.53812123.74100.52(+23.2)#8198.38(+25.4)#4,361
82.54102123.48100.52(+23.0)#8298.38(+25.1)#4,400
83.54864123.44100.52(+22.9)#8398.38(+25.1)#4,408
84.53931123.03100.52(+22.5)#8498.38(+24.6)#4,475
85.53537122.76100.52(+22.2)#8598.38(+24.4)#4,531
86.54772122.61100.52(+22.1)#8698.38(+24.2)#4,561
87.54538121.90100.52(+21.4)#8798.38(+23.5)#4,699
88.54766121.68100.52(+21.2)#8898.38(+23.3)#4,752
89.54558121.66100.52(+21.1)#8998.38(+23.3)#4,756
90.53827121.47100.52(+20.9)#9098.38(+23.1)#4,794
91.54754121.30100.52(+20.8)#9198.38(+22.9)#4,842
92.53088121.15100.52(+20.6)#9298.38(+22.8)#4,874
93.54737121.12100.52(+20.6)#9398.38(+22.7)#4,883
94.53104120.89100.52(+20.4)#9498.38(+22.5)#4,934
95.53002120.79100.52(+20.3)#9598.38(+22.4)#4,960
96.54835120.78100.52(+20.3)#9698.38(+22.4)#4,961
97.53805120.72100.52(+20.2)#9798.38(+22.3)#4,975
98.54733120.47100.52(+19.9)#9898.38(+22.1)#5,034
99.54838120.36100.52(+19.8)#9998.38(+22.0)#5,062
100.54443120.16100.52(+19.6)#10098.38(+21.8)#5,099

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Wisconsin?
Top 10 Zip Codes with the Highest Male / Female Ratio in Wisconsin are:
#1
823.53
#2
500.00
#3
485.37
#4
278.26
#5
213.64
#6
205.00
#7
197.67
#8
191.18
#9
179.94
#10
175.60
What zip code has the Highest Male / Female Ratio in Wisconsin?
53295 has the Highest Male / Female Ratio in Wisconsin with 823.53.
What is the Male to Female Ratio in the State of Wisconsin?
Male to Female Ratio in Wisconsin is 100.52.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.