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

RELATED REPORTS & OPTIONS

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

80.62
137.76
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. 55415 137.76 100.73 (+37.0)#41 98.38 (+39.4)#2,570
2. 55403 137.62 100.73 (+36.9)#42 98.38 (+39.2)#2,583
3. 55402 137.12 100.73 (+36.4)#44 98.38 (+38.7)#2,628
4. 55401 134.23 100.73 (+33.5)#51 98.38 (+35.8)#2,924
5. 55404 118.57 100.73 (+17.8)#134 98.38 (+20.2)#5,479
6. 55413 112.37 100.73 (+11.6)#232 98.38 (+14.0)#7,574
7. 55408 111.92 100.73 (+11.2)#239 98.38 (+13.5)#7,769
8. 55418 108.98 100.73 (+8.25)#314 98.38 (+10.6)#9,163
9. 55430 108.69 100.73 (+7.96)#321 98.38 (+10.3)#9,319
10. 55421 107.54 100.73 (+6.82)#350 98.38 (+9.16)#10,005
11. 55424 107.29 100.73 (+6.57)#355 98.38 (+8.91)#10,186
12. 55445 107.00 100.73 (+6.27)#366 98.38 (+8.61)#10,395
13. 55444 106.29 100.73 (+5.56)#382 98.38 (+7.90)#10,852
14. 55448 104.60 100.73 (+3.87)#434 98.38 (+6.22)#12,094
15. 55414 104.53 100.73 (+3.80)#436 98.38 (+6.14)#12,147
16. 55446 102.29 100.73 (+1.56)#498 98.38 (+3.90)#14,087
17. 55405 101.88 100.73 (+1.15)#515 98.38 (+3.49)#14,492
18. 55420 101.06 100.73 (+0.328)#543 98.38 (+2.67)#15,266
19. 55412 100.97 100.73 (+0.240)#547 98.38 (+2.58)#15,344
20. 55441 100.71 100.73 (-0.014)#560 98.38 (+2.33)#15,620
21. 55407 99.92 100.73 (-0.808)#578 98.38 (+1.53)#16,490
22. 55434 99.24 100.73 (-1.48)#595 98.38 (+0.860)#17,172
23. 55423 99.11 100.73 (-1.62)#600 98.38 (+0.725)#17,319
24. 55411 98.85 100.73 (-1.88)#609 98.38 (+0.467)#17,608
25. 55449 98.45 100.73 (-2.28)#625 98.38 (+0.062)#18,024
26. 55429 98.34 100.73 (-2.39)#628 98.38 (-0.047)#18,139
27. 55433 97.89 100.73 (-2.84)#643 98.38 (-0.495)#18,665
28. 55419 97.83 100.73 (-2.90)#649 98.38 (-0.553)#18,729
29. 55417 97.30 100.73 (-3.42)#664 98.38 (-1.08)#19,289
30. 55432 97.28 100.73 (-3.44)#666 98.38 (-1.10)#19,313
31. 55437 96.88 100.73 (-3.84)#674 98.38 (-1.50)#19,755
32. 55406 96.33 100.73 (-4.40)#685 98.38 (-2.05)#20,288
33. 55409 95.97 100.73 (-4.76)#694 98.38 (-2.41)#20,667
34. 55427 95.36 100.73 (-5.37)#710 98.38 (-3.03)#21,288
35. 55454 94.79 100.73 (-5.94)#720 98.38 (-3.60)#21,879
36. 55410 94.61 100.73 (-6.12)#723 98.38 (-3.77)#22,063
37. 55416 94.42 100.73 (-6.31)#729 98.38 (-3.97)#22,269
38. 55425 94.31 100.73 (-6.41)#733 98.38 (-4.07)#22,375
39. 55426 93.49 100.73 (-7.23)#747 98.38 (-4.89)#23,190
40. 55431 92.86 100.73 (-7.87)#759 98.38 (-5.52)#23,810
41. 55428 92.69 100.73 (-8.04)#763 98.38 (-5.70)#23,965
42. 55447 92.02 100.73 (-8.71)#776 98.38 (-6.37)#24,554
43. 55438 89.50 100.73 (-11.2)#805 98.38 (-8.88)#26,433
44. 55422 89.47 100.73 (-11.3)#806 98.38 (-8.91)#26,458
45. 55436 89.47 100.73 (-11.3)#807 98.38 (-8.92)#26,460
46. 55443 88.32 100.73 (-12.4)#816 98.38 (-10.1)#27,164
47. 55439 88.02 100.73 (-12.7)#819 98.38 (-10.4)#27,328
48. 55435 83.51 100.73 (-17.2)#840 98.38 (-14.9)#29,294
49. 55442 81.22 100.73 (-19.5)#848 98.38 (-17.2)#29,984
50. 55455 80.62 100.73 (-20.1)#851 98.38 (-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.