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
1.5632114,336.36100.73(+14.2k)#198.38(+14.2k)#8
2.55606356.25100.73(+256)#298.38(+258)#243
3.56022335.29100.73(+235)#398.38(+237)#264
4.55767220.89100.73(+120)#498.38(+123)#578
5.56541213.33100.73(+113)#598.38(+115)#646
6.56673211.18100.73(+110)#698.38(+113)#660
7.56371197.06100.73(+96.3)#798.38(+98.7)#798
8.56147190.70100.73(+90.0)#898.38(+92.3)#869
9.55003183.37100.73(+82.6)#998.38(+85.0)#966
10.56030183.33100.73(+82.6)#1098.38(+84.9)#970
11.55758179.25100.73(+78.5)#1198.38(+80.9)#1,036
12.56663173.21100.73(+72.5)#1298.38(+74.8)#1,147
13.55026163.10100.73(+62.4)#1398.38(+64.7)#1,373
14.56046157.89100.73(+57.2)#1498.38(+59.5)#1,508
15.56350157.24100.73(+56.5)#1598.38(+58.9)#1,537
16.56553155.84100.73(+55.1)#1698.38(+57.5)#1,596
17.55796154.55100.73(+53.8)#1798.38(+56.2)#1,650
18.55072152.40100.73(+51.7)#1898.38(+54.0)#1,720
19.55602150.78100.73(+50.1)#1998.38(+52.4)#1,796
20.56218147.78100.73(+47.1)#2098.38(+49.4)#1,959
21.55795146.94100.73(+46.2)#2198.38(+48.6)#2,002
22.56583146.27100.73(+45.5)#2298.38(+47.9)#2,036
23.55717144.66100.73(+43.9)#2398.38(+46.3)#2,112
24.56075144.64100.73(+43.9)#2498.38(+46.3)#2,115
25.56155144.29100.73(+43.6)#2598.38(+45.9)#2,129
26.55069142.80100.73(+42.1)#2698.38(+44.4)#2,215
27.55749142.58100.73(+41.9)#2798.38(+44.2)#2,227
28.56760142.51100.73(+41.8)#2898.38(+44.1)#2,234
29.56657142.50100.73(+41.8)#2998.38(+44.1)#2,235
30.55601141.27100.73(+40.5)#3098.38(+42.9)#2,314
31.56271141.24100.73(+40.5)#3198.38(+42.9)#2,318
32.56020141.18100.73(+40.4)#3398.38(+42.8)#2,324
33.56294141.18100.73(+40.4)#3498.38(+42.8)#2,325
34.56688140.43100.73(+39.7)#3598.38(+42.0)#2,374
35.56146140.00100.73(+39.3)#3698.38(+41.6)#2,404
36.56556139.96100.73(+39.2)#3798.38(+41.6)#2,408
37.56448138.55100.73(+37.8)#3898.38(+40.2)#2,517
38.56714138.22100.73(+37.5)#3998.38(+39.8)#2,536
39.56761138.04100.73(+37.3)#4098.38(+39.7)#2,544
40.55706138.00100.73(+37.3)#4198.38(+39.6)#2,548
41.55415137.76100.73(+37.0)#4298.38(+39.4)#2,570
42.55403137.62100.73(+36.9)#4398.38(+39.2)#2,583
43.56245137.33100.73(+36.6)#4498.38(+38.9)#2,605
44.55402137.12100.73(+36.4)#4598.38(+38.7)#2,628
45.55366137.11100.73(+36.4)#4698.38(+38.7)#2,630
46.56727136.29100.73(+35.6)#4798.38(+37.9)#2,721
47.55953135.75100.73(+35.0)#4898.38(+37.4)#2,775
48.56680135.42100.73(+34.7)#4998.38(+37.0)#2,819
49.56475135.25100.73(+34.5)#5098.38(+36.9)#2,833
50.56117135.22100.73(+34.5)#5198.38(+36.8)#2,836
51.55401134.23100.73(+33.5)#5298.38(+35.8)#2,924
52.56162133.96100.73(+33.2)#5398.38(+35.6)#2,959
53.55757133.68100.73(+32.9)#5498.38(+35.3)#2,994
54.56185133.33100.73(+32.6)#5598.38(+34.9)#3,022
55.55769133.14100.73(+32.4)#5698.38(+34.8)#3,057
56.56686132.88100.73(+32.2)#5798.38(+34.5)#3,081
57.56552132.76100.73(+32.0)#5898.38(+34.4)#3,095
58.56035132.45100.73(+31.7)#5998.38(+34.1)#3,129
59.56754132.21100.73(+31.5)#6098.38(+33.8)#3,160
60.56755132.14100.73(+31.4)#6198.38(+33.8)#3,169
61.56685131.71100.73(+31.0)#6298.38(+33.3)#3,207
62.56384131.43100.73(+30.7)#6398.38(+33.0)#3,232
63.55702131.31100.73(+30.6)#6498.38(+32.9)#3,242
64.56588130.50100.73(+29.8)#6598.38(+32.1)#3,341
65.56089130.48100.73(+29.7)#6698.38(+32.1)#3,344
66.56449130.27100.73(+29.5)#6798.38(+31.9)#3,370
67.56174130.00100.73(+29.3)#6898.38(+31.6)#3,408
68.55775129.70100.73(+29.0)#6998.38(+31.3)#3,439
69.55918129.40100.73(+28.7)#7098.38(+31.0)#3,482
70.56545129.17100.73(+28.4)#7198.38(+30.8)#3,509
71.56186128.96100.73(+28.2)#7298.38(+30.6)#3,526
72.56114128.86100.73(+28.1)#7398.38(+30.5)#3,542
73.55732128.77100.73(+28.0)#7498.38(+30.4)#3,551
74.56434128.71100.73(+28.0)#7598.38(+30.3)#3,560
75.56119128.35100.73(+27.6)#7698.38(+30.0)#3,620
76.55338128.27100.73(+27.5)#7798.38(+29.9)#3,637
77.55724127.91100.73(+27.2)#7898.38(+29.5)#3,695
78.56715127.82100.73(+27.1)#7998.38(+29.4)#3,711
79.56021127.77100.73(+27.0)#8098.38(+29.4)#3,719
80.56253127.60100.73(+26.9)#8198.38(+29.2)#3,747
81.55742127.38100.73(+26.7)#8298.38(+29.0)#3,765
82.55333127.27100.73(+26.5)#8398.38(+28.9)#3,781
83.55941127.17100.73(+26.4)#8498.38(+28.8)#3,806
84.56274126.61100.73(+25.9)#8598.38(+28.2)#3,882
85.56450126.39100.73(+25.7)#8698.38(+28.0)#3,919
86.56533125.60100.73(+24.9)#8798.38(+27.2)#4,025
87.56524125.56100.73(+24.8)#8898.38(+27.2)#4,031
88.56080125.44100.73(+24.7)#8998.38(+27.1)#4,053
89.56458125.32100.73(+24.6)#9098.38(+26.9)#4,067
90.56759125.15100.73(+24.4)#9198.38(+26.8)#4,084
91.56578124.92100.73(+24.2)#9298.38(+26.5)#4,141
92.56280124.77100.73(+24.0)#9398.38(+26.4)#4,161
93.56118124.68100.73(+23.9)#9498.38(+26.3)#4,182
94.56248124.65100.73(+23.9)#9598.38(+26.3)#4,187
95.55017124.35100.73(+23.6)#9698.38(+26.0)#4,244
96.55708124.25100.73(+23.5)#9798.38(+25.9)#4,263
97.56349123.55100.73(+22.8)#9898.38(+25.2)#4,387
98.56342123.03100.73(+22.3)#9998.38(+24.6)#4,472
99.56590123.03100.73(+22.3)#10098.38(+24.6)#4,473
100.55793122.73100.73(+22.0)#10198.38(+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.