Zip Codes with the Highest Female / Male Ratio in Minneapolis, MN

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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 NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
Minneapolis
Compare Zip Codes
Comparison Subject

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

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150.00
Zip Codes with the Highest Female / Male Ratio in Minneapolis Map

Zip Codes with the Highest Female / Male Ratio in Minneapolis, MN

Zip Code Females / 100 Males vs State vs National
1.55455124.0499.28(+24.8)#24101.64(+22.4)#2,812
2.55442123.1399.28(+23.9)#27101.64(+21.5)#2,949
3.55435119.7599.28(+20.5)#35101.64(+18.1)#3,641
4.55439113.6199.28(+14.3)#56101.64(+12.0)#5,607
5.55443113.2399.28(+14.0)#59101.64(+11.6)#5,771
6.55436111.7799.28(+12.5)#68101.64(+10.1)#6,475
7.55422111.7799.28(+12.5)#69101.64(+10.1)#6,477
8.55438111.7399.28(+12.5)#70101.64(+10.1)#6,502
9.55447108.6799.28(+9.40)#99101.64(+7.03)#8,381
10.55428107.8999.28(+8.61)#112101.64(+6.25)#8,970
11.55431107.6999.28(+8.41)#116101.64(+6.05)#9,125
12.55426106.9699.28(+7.68)#128101.64(+5.32)#9,745
13.55425106.0399.28(+6.75)#142101.64(+4.39)#10,560
14.55416105.9199.28(+6.64)#146101.64(+4.27)#10,666
15.55410105.7099.28(+6.42)#152101.64(+4.05)#10,872
16.55454105.5099.28(+6.22)#155101.64(+3.86)#11,056
17.55427104.8799.28(+5.59)#165101.64(+3.23)#11,647
18.55409104.2099.28(+4.92)#181101.64(+2.56)#12,268
19.55406103.8199.28(+4.53)#190101.64(+2.17)#12,647
20.55437103.2299.28(+3.94)#201101.64(+1.57)#13,180
21.55432102.7999.28(+3.52)#209101.64(+1.15)#13,621
22.55417102.7799.28(+3.49)#211101.64(+1.13)#13,646
23.55419102.2299.28(+2.94)#226101.64(+0.575)#14,206
24.55433102.1699.28(+2.88)#232101.64(+0.514)#14,270
25.55429101.6999.28(+2.41)#247101.64(+0.048)#14,796
26.55449101.5899.28(+2.30)#250101.64(-0.064)#14,911
27.55411101.1699.28(+1.88)#266101.64(-0.480)#15,327
28.55423100.9099.28(+1.62)#275101.64(-0.743)#15,616
29.55434100.7699.28(+1.48)#280101.64(-0.881)#15,763
30.55407100.0899.28(+0.803)#297101.64(-1.56)#16,445
31.5544199.2999.28(+0.014)#315101.64(-2.35)#17,315
32.5541299.0499.28(-0.236)#328101.64(-2.60)#17,591
33.5542098.9699.28(-0.322)#332101.64(-2.69)#17,669
34.5540598.1699.28(-1.12)#360101.64(-3.49)#18,443
35.5544697.7699.28(-1.51)#377101.64(-3.88)#18,848
36.5541495.6799.28(-3.61)#439101.64(-5.97)#20,788
37.5544895.6099.28(-3.68)#441101.64(-6.04)#20,841
38.5544494.0899.28(-5.19)#493101.64(-7.56)#22,083
39.5544593.4699.28(-5.82)#509101.64(-8.18)#22,540
40.5542493.2099.28(-6.08)#520101.64(-8.44)#22,749
41.5542192.9999.28(-6.29)#525101.64(-8.66)#22,930
42.5543092.0099.28(-7.27)#554101.64(-9.64)#23,616
43.5541891.7699.28(-7.52)#561101.64(-9.88)#23,772
44.5540889.3599.28(-9.93)#636101.64(-12.3)#25,166
45.5541388.9999.28(-10.3)#643101.64(-12.7)#25,361
46.5540484.3499.28(-14.9)#741101.64(-17.3)#27,456
47.5540174.5099.28(-24.8)#824101.64(-27.1)#30,011
48.5540272.9399.28(-26.4)#831101.64(-28.7)#30,307
49.5540372.6699.28(-26.6)#833101.64(-29.0)#30,352
50.5541572.5999.28(-26.7)#834101.64(-29.1)#30,365

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Minneapolis, MN?
Top 10 Zip Codes with the Highest Female / Male Ratio in Minneapolis, MN are:
#1
124.04
#2
123.13
#3
119.75
#4
113.61
#5
113.23
#6
111.77
#7
111.77
#8
111.73
#9
108.67
#10
107.89
What zip code has the Highest Female / Male Ratio in Minneapolis, MN?
55455 has the Highest Female / Male Ratio in Minneapolis, MN with 124.04.
What is the Famale to Male Ratio in Minneapolis, MN?
Famale to Male Ratio in Minneapolis is 95.22.
What is the Famale to Male Ratio in Minnesota?
Famale to Male Ratio in Minnesota is 99.28.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.