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

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Male / Female 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 Male / Female Ratio in Minneapolis

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

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

Zip Code Males / 100 Females vs State vs National
1.55415137.76100.73(+37.0)#4198.38(+39.4)#2,570
2.55403137.62100.73(+36.9)#4298.38(+39.2)#2,583
3.55402137.12100.73(+36.4)#4498.38(+38.7)#2,628
4.55401134.23100.73(+33.5)#5198.38(+35.8)#2,924
5.55404118.57100.73(+17.8)#13498.38(+20.2)#5,479
6.55413112.37100.73(+11.6)#23298.38(+14.0)#7,574
7.55408111.92100.73(+11.2)#23998.38(+13.5)#7,769
8.55418108.98100.73(+8.25)#31498.38(+10.6)#9,163
9.55430108.69100.73(+7.96)#32198.38(+10.3)#9,319
10.55421107.54100.73(+6.82)#35098.38(+9.16)#10,005
11.55424107.29100.73(+6.57)#35598.38(+8.91)#10,186
12.55445107.00100.73(+6.27)#36698.38(+8.61)#10,395
13.55444106.29100.73(+5.56)#38298.38(+7.90)#10,852
14.55448104.60100.73(+3.87)#43498.38(+6.22)#12,094
15.55414104.53100.73(+3.80)#43698.38(+6.14)#12,147
16.55446102.29100.73(+1.56)#49898.38(+3.90)#14,087
17.55405101.88100.73(+1.15)#51598.38(+3.49)#14,492
18.55420101.06100.73(+0.328)#54398.38(+2.67)#15,266
19.55412100.97100.73(+0.240)#54798.38(+2.58)#15,344
20.55441100.71100.73(-0.014)#56098.38(+2.33)#15,620
21.5540799.92100.73(-0.808)#57898.38(+1.53)#16,490
22.5543499.24100.73(-1.48)#59598.38(+0.860)#17,172
23.5542399.11100.73(-1.62)#60098.38(+0.725)#17,319
24.5541198.85100.73(-1.88)#60998.38(+0.467)#17,608
25.5544998.45100.73(-2.28)#62598.38(+0.062)#18,024
26.5542998.34100.73(-2.39)#62898.38(-0.047)#18,139
27.5543397.89100.73(-2.84)#64398.38(-0.495)#18,665
28.5541997.83100.73(-2.90)#64998.38(-0.553)#18,729
29.5541797.30100.73(-3.42)#66498.38(-1.08)#19,289
30.5543297.28100.73(-3.44)#66698.38(-1.10)#19,313
31.5543796.88100.73(-3.84)#67498.38(-1.50)#19,755
32.5540696.33100.73(-4.40)#68598.38(-2.05)#20,288
33.5540995.97100.73(-4.76)#69498.38(-2.41)#20,667
34.5542795.36100.73(-5.37)#71098.38(-3.03)#21,288
35.5545494.79100.73(-5.94)#72098.38(-3.60)#21,879
36.5541094.61100.73(-6.12)#72398.38(-3.77)#22,063
37.5541694.42100.73(-6.31)#72998.38(-3.97)#22,269
38.5542594.31100.73(-6.41)#73398.38(-4.07)#22,375
39.5542693.49100.73(-7.23)#74798.38(-4.89)#23,190
40.5543192.86100.73(-7.87)#75998.38(-5.52)#23,810
41.5542892.69100.73(-8.04)#76398.38(-5.70)#23,965
42.5544792.02100.73(-8.71)#77698.38(-6.37)#24,554
43.5543889.50100.73(-11.2)#80598.38(-8.88)#26,433
44.5542289.47100.73(-11.3)#80698.38(-8.91)#26,458
45.5543689.47100.73(-11.3)#80798.38(-8.92)#26,460
46.5544388.32100.73(-12.4)#81698.38(-10.1)#27,164
47.5543988.02100.73(-12.7)#81998.38(-10.4)#27,328
48.5543583.51100.73(-17.2)#84098.38(-14.9)#29,294
49.5544281.22100.73(-19.5)#84898.38(-17.2)#29,984
50.5545580.62100.73(-20.1)#85198.38(-17.8)#30,123

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Minneapolis, MN?
Top 10 Zip Codes with the Highest Male / Female Ratio in Minneapolis, MN are:
#1
137.76
#2
137.62
#3
137.12
#4
134.23
#5
118.57
#6
112.37
#7
111.92
#8
108.98
#9
108.69
#10
107.54
What zip code has the Highest Male / Female Ratio in Minneapolis, MN?
55415 has the Highest Male / Female Ratio in Minneapolis, MN with 137.76.
What is the Male to Female Ratio in Minneapolis, MN?
Male to Female Ratio in Minneapolis is 105.02.
What is the Male to Female Ratio in Minnesota?
Male to Female Ratio in Minnesota is 100.73.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.