Zip Codes with the Highest Male / Female Ratio in Minnesota [ 801 - 900 ]

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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

Zip Codes with the Highest Male / Female Ratio in Minnesota

Zip Code Males / 100 Females vs State vs National
801.5571389.98100.73(-10.7)#80198.38(-8.40)#26,136
802.5572189.68100.73(-11.0)#80298.38(-8.70)#26,317
803.5512089.63100.73(-11.1)#80398.38(-8.75)#26,341
804.5538489.62100.73(-11.1)#80498.38(-8.76)#26,347
805.5543889.50100.73(-11.2)#80598.38(-8.88)#26,433
806.5542289.47100.73(-11.3)#80698.38(-8.91)#26,458
807.5543689.47100.73(-11.3)#80798.38(-8.92)#26,460
808.5623589.39100.73(-11.3)#80898.38(-8.99)#26,503
809.5644789.26100.73(-11.5)#80998.38(-9.12)#26,584
810.5630789.23100.73(-11.5)#81098.38(-9.16)#26,602
811.5578488.89100.73(-11.8)#81198.38(-9.50)#26,815
812.5622588.86100.73(-11.9)#81298.38(-9.53)#26,839
813.5511888.80100.73(-11.9)#81398.38(-9.58)#26,876
814.5615988.59100.73(-12.1)#81498.38(-9.79)#26,991
815.5636388.55100.73(-12.2)#81598.38(-9.83)#27,023
816.5544388.32100.73(-12.4)#81698.38(-10.1)#27,164
817.5597088.26100.73(-12.5)#81798.38(-10.1)#27,200
818.5663088.10100.73(-12.6)#81898.38(-10.3)#27,287
819.5543988.02100.73(-12.7)#81998.38(-10.4)#27,328
820.5614487.85100.73(-12.9)#82098.38(-10.5)#27,407
821.5654087.84100.73(-12.9)#82198.38(-10.5)#27,410
822.5607487.75100.73(-13.0)#82298.38(-10.6)#27,462
823.5508987.69100.73(-13.0)#82398.38(-10.7)#27,494
824.5508487.57100.73(-13.2)#82498.38(-10.8)#27,550
825.5612587.50100.73(-13.2)#82598.38(-10.9)#27,596
826.5560787.02100.73(-13.7)#82698.38(-11.4)#27,831
827.5515086.67100.73(-14.1)#82798.38(-11.7)#28,011
828.5613486.36100.73(-14.4)#82898.38(-12.0)#28,153
829.5510586.23100.73(-14.5)#82998.38(-12.2)#28,222
830.5578586.15100.73(-14.6)#83098.38(-12.2)#28,252
831.5609385.19100.73(-15.5)#83198.38(-13.2)#28,664
832.5561385.15100.73(-15.6)#83298.38(-13.2)#28,676
833.5598384.91100.73(-15.8)#83398.38(-13.5)#28,782
834.5666184.50100.73(-16.2)#83498.38(-13.9)#28,947
835.5509084.31100.73(-16.4)#83598.38(-14.1)#29,014
836.5657484.31100.73(-16.4)#83698.38(-14.1)#29,015
837.5592183.88100.73(-16.8)#83798.38(-14.5)#29,170
838.5597683.79100.73(-16.9)#83898.38(-14.6)#29,202
839.5637683.54100.73(-17.2)#83998.38(-14.8)#29,285
840.5543583.51100.73(-17.2)#84098.38(-14.9)#29,294
841.5604383.33100.73(-17.4)#84198.38(-15.1)#29,344
842.5637483.28100.73(-17.5)#84298.38(-15.1)#29,367
843.5675883.15100.73(-17.6)#84398.38(-15.2)#29,402
844.5666882.05100.73(-18.7)#84498.38(-16.3)#29,740
845.5675781.76100.73(-19.0)#84598.38(-16.6)#29,829
846.5632881.72100.73(-19.0)#84698.38(-16.7)#29,843
847.5665281.25100.73(-19.5)#84798.38(-17.1)#29,967
848.5544281.22100.73(-19.5)#84898.38(-17.2)#29,984
849.5611380.92100.73(-19.8)#84998.38(-17.5)#30,053
850.5598280.82100.73(-19.9)#85098.38(-17.6)#30,068
851.5545580.62100.73(-20.1)#85198.38(-17.8)#30,123
852.5502080.41100.73(-20.3)#85298.38(-18.0)#30,167
853.5615879.59100.73(-21.1)#85398.38(-18.8)#30,342
854.5663778.72100.73(-22.0)#85498.38(-19.7)#30,501
855.5593178.71100.73(-22.0)#85598.38(-19.7)#30,505
856.5613978.28100.73(-22.5)#85698.38(-20.1)#30,590
857.5671175.68100.73(-25.1)#85798.38(-22.7)#31,021
858.5612775.00100.73(-25.7)#85898.38(-23.4)#31,104
859.5561275.00100.73(-25.7)#85998.38(-23.4)#31,105
860.5575373.91100.73(-26.8)#86098.38(-24.5)#31,240
861.5662973.64100.73(-27.1)#86198.38(-24.7)#31,274
862.5561563.77100.73(-37.0)#86298.38(-34.6)#32,029
863.5656363.73100.73(-37.0)#86398.38(-34.7)#32,032
864.5673163.38100.73(-37.3)#86498.38(-35.0)#32,052
865.5571661.21100.73(-39.5)#86598.38(-37.2)#32,159
866.5662660.20100.73(-40.5)#86698.38(-38.2)#32,201
867.5503660.00100.73(-40.7)#86798.38(-38.4)#32,215
868.5665457.50100.73(-43.2)#86898.38(-40.9)#32,308
869.5614052.50100.73(-48.2)#86998.38(-45.9)#32,462
870.5577251.47100.73(-49.3)#87098.38(-46.9)#32,494
871.5672050.00100.73(-50.7)#87198.38(-48.4)#32,536
872.5656248.96100.73(-51.8)#87298.38(-49.4)#32,553
873.5502927.45100.73(-73.3)#87398.38(-70.9)#32,844
874.5621025.00100.73(-75.7)#87498.38(-73.4)#32,864