Zip Codes with the Highest Male / Female Ratio in Minnesota

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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 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
Minnesota
Compare Zip Codes
Comparison Subject

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

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15,000.00
Zip Codes with the Highest Male / Female Ratio in Minnesota Map

Zip Codes with the Highest Male / Female Ratio in Minnesota

Zip Code Males / 100 Females vs State vs National
1. 56321 14,336.36 100.73 (+14.2k)#1 98.38 (+14.2k)#8
2. 55606 356.25 100.73 (+256)#2 98.38 (+258)#243
3. 56022 335.29 100.73 (+235)#3 98.38 (+237)#264
4. 55767 220.89 100.73 (+120)#4 98.38 (+123)#578
5. 56541 213.33 100.73 (+113)#5 98.38 (+115)#646
6. 56673 211.18 100.73 (+110)#6 98.38 (+113)#660
7. 56371 197.06 100.73 (+96.3)#7 98.38 (+98.7)#798
8. 56147 190.70 100.73 (+90.0)#8 98.38 (+92.3)#869
9. 55003 183.37 100.73 (+82.6)#9 98.38 (+85.0)#966
10. 56030 183.33 100.73 (+82.6)#10 98.38 (+84.9)#970
11. 55758 179.25 100.73 (+78.5)#11 98.38 (+80.9)#1,036
12. 56663 173.21 100.73 (+72.5)#12 98.38 (+74.8)#1,147
13. 55026 163.10 100.73 (+62.4)#13 98.38 (+64.7)#1,373
14. 56046 157.89 100.73 (+57.2)#14 98.38 (+59.5)#1,508
15. 56350 157.24 100.73 (+56.5)#15 98.38 (+58.9)#1,537
16. 56553 155.84 100.73 (+55.1)#16 98.38 (+57.5)#1,596
17. 55796 154.55 100.73 (+53.8)#17 98.38 (+56.2)#1,650
18. 55072 152.40 100.73 (+51.7)#18 98.38 (+54.0)#1,720
19. 55602 150.78 100.73 (+50.1)#19 98.38 (+52.4)#1,796
20. 56218 147.78 100.73 (+47.1)#20 98.38 (+49.4)#1,959
21. 55795 146.94 100.73 (+46.2)#21 98.38 (+48.6)#2,002
22. 56583 146.27 100.73 (+45.5)#22 98.38 (+47.9)#2,036
23. 55717 144.66 100.73 (+43.9)#23 98.38 (+46.3)#2,112
24. 56075 144.64 100.73 (+43.9)#24 98.38 (+46.3)#2,115
25. 56155 144.29 100.73 (+43.6)#25 98.38 (+45.9)#2,129
26. 55069 142.80 100.73 (+42.1)#26 98.38 (+44.4)#2,215
27. 55749 142.58 100.73 (+41.9)#27 98.38 (+44.2)#2,227
28. 56760 142.51 100.73 (+41.8)#28 98.38 (+44.1)#2,234
29. 56657 142.50 100.73 (+41.8)#29 98.38 (+44.1)#2,235
30. 55601 141.27 100.73 (+40.5)#30 98.38 (+42.9)#2,314
31. 56271 141.24 100.73 (+40.5)#31 98.38 (+42.9)#2,318
32. 56294 141.18 100.73 (+40.4)#32 98.38 (+42.8)#2,323
33. 56020 141.18 100.73 (+40.4)#33 98.38 (+42.8)#2,324
34. 56688 140.43 100.73 (+39.7)#34 98.38 (+42.0)#2,374
35. 56146 140.00 100.73 (+39.3)#35 98.38 (+41.6)#2,404
36. 56556 139.96 100.73 (+39.2)#36 98.38 (+41.6)#2,408
37. 56448 138.55 100.73 (+37.8)#37 98.38 (+40.2)#2,517
38. 56714 138.22 100.73 (+37.5)#38 98.38 (+39.8)#2,536
39. 56761 138.04 100.73 (+37.3)#39 98.38 (+39.7)#2,544
40. 55706 138.00 100.73 (+37.3)#40 98.38 (+39.6)#2,548
41. 55415 137.76 100.73 (+37.0)#41 98.38 (+39.4)#2,570
42. 55403 137.62 100.73 (+36.9)#42 98.38 (+39.2)#2,583
43. 56245 137.33 100.73 (+36.6)#43 98.38 (+38.9)#2,605
44. 55402 137.12 100.73 (+36.4)#44 98.38 (+38.7)#2,628
45. 55366 137.11 100.73 (+36.4)#45 98.38 (+38.7)#2,630
46. 56727 136.29 100.73 (+35.6)#46 98.38 (+37.9)#2,721
47. 55953 135.75 100.73 (+35.0)#47 98.38 (+37.4)#2,775
48. 56680 135.42 100.73 (+34.7)#48 98.38 (+37.0)#2,819
49. 56475 135.25 100.73 (+34.5)#49 98.38 (+36.9)#2,833
50. 56117 135.22 100.73 (+34.5)#50 98.38 (+36.8)#2,836
51. 55401 134.23 100.73 (+33.5)#51 98.38 (+35.8)#2,924
52. 56162 133.96 100.73 (+33.2)#52 98.38 (+35.6)#2,959
53. 55757 133.68 100.73 (+32.9)#53 98.38 (+35.3)#2,994
54. 56185 133.33 100.73 (+32.6)#54 98.38 (+34.9)#3,022
55. 55769 133.14 100.73 (+32.4)#55 98.38 (+34.8)#3,057
56. 56686 132.88 100.73 (+32.2)#56 98.38 (+34.5)#3,081
57. 56552 132.76 100.73 (+32.0)#57 98.38 (+34.4)#3,095
58. 56035 132.45 100.73 (+31.7)#58 98.38 (+34.1)#3,129
59. 56754 132.21 100.73 (+31.5)#59 98.38 (+33.8)#3,160
60. 56755 132.14 100.73 (+31.4)#60 98.38 (+33.8)#3,169
61. 56685 131.71 100.73 (+31.0)#61 98.38 (+33.3)#3,207
62. 56384 131.43 100.73 (+30.7)#62 98.38 (+33.0)#3,232
63. 55702 131.31 100.73 (+30.6)#63 98.38 (+32.9)#3,242
64. 56588 130.50 100.73 (+29.8)#64 98.38 (+32.1)#3,341
65. 56089 130.48 100.73 (+29.7)#65 98.38 (+32.1)#3,344
66. 56449 130.27 100.73 (+29.5)#66 98.38 (+31.9)#3,370
67. 56174 130.00 100.73 (+29.3)#67 98.38 (+31.6)#3,408
68. 55775 129.70 100.73 (+29.0)#68 98.38 (+31.3)#3,439
69. 55918 129.40 100.73 (+28.7)#69 98.38 (+31.0)#3,482
70. 56545 129.17 100.73 (+28.4)#70 98.38 (+30.8)#3,509
71. 56186 128.96 100.73 (+28.2)#71 98.38 (+30.6)#3,526
72. 56114 128.86 100.73 (+28.1)#72 98.38 (+30.5)#3,542
73. 55732 128.77 100.73 (+28.0)#73 98.38 (+30.4)#3,551
74. 56434 128.71 100.73 (+28.0)#74 98.38 (+30.3)#3,560
75. 56119 128.35 100.73 (+27.6)#75 98.38 (+30.0)#3,620
76. 55338 128.27 100.73 (+27.5)#76 98.38 (+29.9)#3,637
77. 55724 127.91 100.73 (+27.2)#77 98.38 (+29.5)#3,695
78. 56715 127.82 100.73 (+27.1)#78 98.38 (+29.4)#3,711
79. 56021 127.77 100.73 (+27.0)#79 98.38 (+29.4)#3,719
80. 56253 127.60 100.73 (+26.9)#80 98.38 (+29.2)#3,747
81. 55742 127.38 100.73 (+26.7)#81 98.38 (+29.0)#3,765
82. 55333 127.27 100.73 (+26.5)#82 98.38 (+28.9)#3,781
83. 55941 127.17 100.73 (+26.4)#83 98.38 (+28.8)#3,806
84. 56274 126.61 100.73 (+25.9)#84 98.38 (+28.2)#3,882
85. 56450 126.39 100.73 (+25.7)#85 98.38 (+28.0)#3,919
86. 56533 125.60 100.73 (+24.9)#86 98.38 (+27.2)#4,025
87. 56524 125.56 100.73 (+24.8)#87 98.38 (+27.2)#4,031
88. 56080 125.44 100.73 (+24.7)#88 98.38 (+27.1)#4,053
89. 56458 125.32 100.73 (+24.6)#89 98.38 (+26.9)#4,067
90. 56759 125.15 100.73 (+24.4)#90 98.38 (+26.8)#4,084
91. 56578 124.92 100.73 (+24.2)#91 98.38 (+26.5)#4,141
92. 56280 124.77 100.73 (+24.0)#92 98.38 (+26.4)#4,161
93. 56118 124.68 100.73 (+23.9)#93 98.38 (+26.3)#4,182
94. 56248 124.65 100.73 (+23.9)#94 98.38 (+26.3)#4,187
95. 55017 124.35 100.73 (+23.6)#95 98.38 (+26.0)#4,244
96. 55708 124.25 100.73 (+23.5)#96 98.38 (+25.9)#4,263
97. 56349 123.55 100.73 (+22.8)#97 98.38 (+25.2)#4,387
98. 56342 123.03 100.73 (+22.3)#98 98.38 (+24.6)#4,472
99. 56590 123.03 100.73 (+22.3)#99 98.38 (+24.6)#4,473
100. 55793 122.73 100.73 (+22.0)#100 98.38 (+24.3)#4,539

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in Minnesota?
Top 10 Zip Codes with the Highest Male / Female Ratio in Minnesota are:
#1
14,336.36
#2
356.25
#3
335.29
#4
220.89
#5
213.33
#6
211.18
#7
197.06
#8
190.70
#9
183.37
#10
183.33
What zip code has the Highest Male / Female Ratio in Minnesota?
56321 has the Highest Male / Female Ratio in Minnesota with 14,336.36.
What is the Male to Female Ratio in the State of 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.