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

RELATED REPORTS & OPTIONS

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

72.59
124.04
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. 55455 124.04 99.28 (+24.8)#24 101.64 (+22.4)#2,812
2. 55442 123.13 99.28 (+23.9)#27 101.64 (+21.5)#2,949
3. 55435 119.75 99.28 (+20.5)#35 101.64 (+18.1)#3,641
4. 55439 113.61 99.28 (+14.3)#56 101.64 (+12.0)#5,607
5. 55443 113.23 99.28 (+14.0)#59 101.64 (+11.6)#5,771
6. 55436 111.77 99.28 (+12.5)#68 101.64 (+10.1)#6,475
7. 55422 111.77 99.28 (+12.5)#69 101.64 (+10.1)#6,477
8. 55438 111.73 99.28 (+12.5)#70 101.64 (+10.1)#6,502
9. 55447 108.67 99.28 (+9.40)#99 101.64 (+7.03)#8,381
10. 55428 107.89 99.28 (+8.61)#112 101.64 (+6.25)#8,970
11. 55431 107.69 99.28 (+8.41)#116 101.64 (+6.05)#9,125
12. 55426 106.96 99.28 (+7.68)#128 101.64 (+5.32)#9,745
13. 55425 106.03 99.28 (+6.75)#142 101.64 (+4.39)#10,560
14. 55416 105.91 99.28 (+6.64)#146 101.64 (+4.27)#10,666
15. 55410 105.70 99.28 (+6.42)#152 101.64 (+4.05)#10,872
16. 55454 105.50 99.28 (+6.22)#155 101.64 (+3.86)#11,056
17. 55427 104.87 99.28 (+5.59)#165 101.64 (+3.23)#11,647
18. 55409 104.20 99.28 (+4.92)#181 101.64 (+2.56)#12,268
19. 55406 103.81 99.28 (+4.53)#190 101.64 (+2.17)#12,647
20. 55437 103.22 99.28 (+3.94)#201 101.64 (+1.57)#13,180
21. 55432 102.79 99.28 (+3.52)#209 101.64 (+1.15)#13,621
22. 55417 102.77 99.28 (+3.49)#211 101.64 (+1.13)#13,646
23. 55419 102.22 99.28 (+2.94)#226 101.64 (+0.575)#14,206
24. 55433 102.16 99.28 (+2.88)#232 101.64 (+0.514)#14,270
25. 55429 101.69 99.28 (+2.41)#247 101.64 (+0.048)#14,796
26. 55449 101.58 99.28 (+2.30)#250 101.64 (-0.064)#14,911
27. 55411 101.16 99.28 (+1.88)#266 101.64 (-0.480)#15,327
28. 55423 100.90 99.28 (+1.62)#275 101.64 (-0.743)#15,616
29. 55434 100.76 99.28 (+1.48)#280 101.64 (-0.881)#15,763
30. 55407 100.08 99.28 (+0.803)#297 101.64 (-1.56)#16,445
31. 55441 99.29 99.28 (+0.014)#315 101.64 (-2.35)#17,315
32. 55412 99.04 99.28 (-0.236)#328 101.64 (-2.60)#17,591
33. 55420 98.96 99.28 (-0.322)#332 101.64 (-2.69)#17,669
34. 55405 98.16 99.28 (-1.12)#360 101.64 (-3.49)#18,443
35. 55446 97.76 99.28 (-1.51)#377 101.64 (-3.88)#18,848
36. 55414 95.67 99.28 (-3.61)#439 101.64 (-5.97)#20,788
37. 55448 95.60 99.28 (-3.68)#441 101.64 (-6.04)#20,841
38. 55444 94.08 99.28 (-5.19)#493 101.64 (-7.56)#22,083
39. 55445 93.46 99.28 (-5.82)#509 101.64 (-8.18)#22,540
40. 55424 93.20 99.28 (-6.08)#520 101.64 (-8.44)#22,749
41. 55421 92.99 99.28 (-6.29)#525 101.64 (-8.66)#22,930
42. 55430 92.00 99.28 (-7.27)#554 101.64 (-9.64)#23,616
43. 55418 91.76 99.28 (-7.52)#561 101.64 (-9.88)#23,772
44. 55408 89.35 99.28 (-9.93)#636 101.64 (-12.3)#25,166
45. 55413 88.99 99.28 (-10.3)#643 101.64 (-12.7)#25,361
46. 55404 84.34 99.28 (-14.9)#741 101.64 (-17.3)#27,456
47. 55401 74.50 99.28 (-24.8)#824 101.64 (-27.1)#30,011
48. 55402 72.93 99.28 (-26.4)#831 101.64 (-28.7)#30,307
49. 55403 72.66 99.28 (-26.6)#833 101.64 (-29.0)#30,352
50. 55415 72.59 99.28 (-26.7)#834 101.64 (-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.