Zip Codes with the Highest Female / Male Ratio in Minnesota

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Female / Male 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 Female / Male Ratio in Minnesota

0.00
400.00
Zip Codes with the Highest Female / Male Ratio in Minnesota Map

Zip Codes with the Highest Female / Male Ratio in Minnesota

Zip Code Females / 100 Males vs State vs National
1.56210400.0099.28(+301)#1101.64(+298)#73
2.55029364.2999.28(+265)#2101.64(+263)#91
3.56562204.2499.28(+105)#3101.64(+103)#382
4.56720200.0099.28(+101)#4101.64(+98.4)#416
5.55772194.2999.28(+95.0)#5101.64(+92.6)#441
6.56140190.4899.28(+91.2)#6101.64(+88.8)#474
7.56654173.9199.28(+74.6)#7101.64(+72.3)#627
8.55036166.6799.28(+67.4)#8101.64(+65.0)#724
9.56626166.1099.28(+66.8)#9101.64(+64.5)#734
10.55716163.3799.28(+64.1)#10101.64(+61.7)#776
11.56731157.7899.28(+58.5)#11101.64(+56.1)#884
12.56563156.9199.28(+57.6)#12101.64(+55.3)#903
13.55615156.8299.28(+57.5)#13101.64(+55.2)#906
14.56629135.8099.28(+36.5)#14101.64(+34.2)#1,662
15.55753135.2999.28(+36.0)#15101.64(+33.7)#1,695
16.56127133.3399.28(+34.1)#16101.64(+31.7)#1,820
17.55612133.3399.28(+34.1)#17101.64(+31.7)#1,821
18.56711132.1499.28(+32.9)#18101.64(+30.5)#1,914
19.56139127.7599.28(+28.5)#19101.64(+26.1)#2,345
20.55931127.0599.28(+27.8)#20101.64(+25.4)#2,429
21.56637127.0399.28(+27.7)#21101.64(+25.4)#2,434
22.56158125.6499.28(+26.4)#22101.64(+24.0)#2,592
23.55020124.3699.28(+25.1)#23101.64(+22.7)#2,768
24.55455124.0499.28(+24.8)#24101.64(+22.4)#2,812
25.55982123.7399.28(+24.5)#25101.64(+22.1)#2,867
26.56113123.5899.28(+24.3)#26101.64(+21.9)#2,882
27.55442123.1399.28(+23.9)#27101.64(+21.5)#2,949
28.56652123.0899.28(+23.8)#28101.64(+21.4)#2,963
29.56328122.3799.28(+23.1)#29101.64(+20.7)#3,092
30.56757122.3199.28(+23.0)#30101.64(+20.7)#3,106
31.56668121.8899.28(+22.6)#31101.64(+20.2)#3,196
32.56758120.2799.28(+21.0)#32101.64(+18.6)#3,533
33.56374120.0899.28(+20.8)#33101.64(+18.4)#3,568
34.56043120.0099.28(+20.7)#34101.64(+18.4)#3,579
35.55435119.7599.28(+20.5)#35101.64(+18.1)#3,641
36.56376119.7199.28(+20.4)#36101.64(+18.1)#3,650
37.55976119.3599.28(+20.1)#37101.64(+17.7)#3,733
38.55921119.2299.28(+19.9)#38101.64(+17.6)#3,765
39.55090118.6099.28(+19.3)#39101.64(+17.0)#3,919
40.56574118.6099.28(+19.3)#40101.64(+17.0)#3,920
41.56661118.3499.28(+19.1)#41101.64(+16.7)#3,988
42.55983117.7799.28(+18.5)#42101.64(+16.1)#4,153
43.55613117.4499.28(+18.2)#43101.64(+15.8)#4,259
44.56093117.3899.28(+18.1)#44101.64(+15.7)#4,271
45.55785116.0799.28(+16.8)#45101.64(+14.4)#4,682
46.55105115.9799.28(+16.7)#46101.64(+14.3)#4,713
47.56134115.7999.28(+16.5)#47101.64(+14.1)#4,778
48.55150115.3899.28(+16.1)#48101.64(+13.7)#4,926
49.55607114.9199.28(+15.6)#49101.64(+13.3)#5,104
50.56125114.2999.28(+15.0)#50101.64(+12.6)#5,346
51.55084114.1999.28(+14.9)#51101.64(+12.5)#5,385
52.55089114.0499.28(+14.8)#52101.64(+12.4)#5,441
53.56074113.9799.28(+14.7)#53101.64(+12.3)#5,473
54.56540113.8499.28(+14.6)#54101.64(+12.2)#5,525
55.56144113.8399.28(+14.6)#55101.64(+12.2)#5,528
56.55439113.6199.28(+14.3)#56101.64(+12.0)#5,607
57.56630113.5199.28(+14.2)#57101.64(+11.9)#5,648
58.55970113.3199.28(+14.0)#58101.64(+11.7)#5,735
59.55443113.2399.28(+14.0)#59101.64(+11.6)#5,771
60.56363112.9399.28(+13.7)#60101.64(+11.3)#5,912
61.56159112.8899.28(+13.6)#61101.64(+11.2)#5,944
62.55118112.6199.28(+13.3)#62101.64(+11.0)#6,059
63.56225112.5499.28(+13.3)#63101.64(+10.9)#6,096
64.55784112.5099.28(+13.2)#64101.64(+10.9)#6,119
65.56307112.0899.28(+12.8)#65101.64(+10.4)#6,333
66.56447112.0399.28(+12.8)#66101.64(+10.4)#6,351
67.56235111.8699.28(+12.6)#67101.64(+10.2)#6,434
68.55436111.7799.28(+12.5)#68101.64(+10.1)#6,475
69.55422111.7799.28(+12.5)#69101.64(+10.1)#6,477
70.55438111.7399.28(+12.5)#70101.64(+10.1)#6,502
71.55384111.5899.28(+12.3)#71101.64(+9.93)#6,588
72.55120111.5799.28(+12.3)#72101.64(+9.93)#6,594
73.55721111.5199.28(+12.2)#73101.64(+9.86)#6,618
74.55713111.1399.28(+11.9)#74101.64(+9.49)#6,799
75.56060111.0699.28(+11.8)#75101.64(+9.42)#6,849
76.55076111.0299.28(+11.7)#76101.64(+9.38)#6,872
77.56149110.9799.28(+11.7)#77101.64(+9.32)#6,896
78.55127110.8599.28(+11.6)#78101.64(+9.21)#6,977
79.56252110.8399.28(+11.6)#79101.64(+9.19)#6,996
80.55307110.7299.28(+11.4)#80101.64(+9.08)#7,062
81.55929110.6199.28(+11.3)#81101.64(+8.97)#7,120
82.56237110.5999.28(+11.3)#82101.64(+8.95)#7,132
83.56223110.5799.28(+11.3)#83101.64(+8.93)#7,147
84.56650110.5599.28(+11.3)#84101.64(+8.91)#7,165
85.56425110.3499.28(+11.1)#85101.64(+8.70)#7,267
86.55804110.3499.28(+11.1)#86101.64(+8.69)#7,271
87.56292110.3299.28(+11.0)#87101.64(+8.68)#7,276
88.55126110.0699.28(+10.8)#88101.64(+8.42)#7,450
89.55726110.0099.28(+10.7)#89101.64(+8.36)#7,475
90.56537109.9899.28(+10.7)#90101.64(+8.33)#7,497
91.55116109.7699.28(+10.5)#91101.64(+8.11)#7,632
92.56569109.7099.28(+10.4)#92101.64(+8.06)#7,669
93.56660109.5999.28(+10.3)#93101.64(+7.95)#7,746
94.56129109.5799.28(+10.3)#94101.64(+7.93)#7,758
95.55344109.2999.28(+10.0)#95101.64(+7.65)#7,942
96.56091108.9699.28(+9.68)#96101.64(+7.31)#8,194
97.55041108.7599.28(+9.48)#97101.64(+7.11)#8,335
98.56156108.7499.28(+9.46)#98101.64(+7.10)#8,339
99.55447108.6799.28(+9.40)#99101.64(+7.03)#8,381
100.55756108.6299.28(+9.34)#100101.64(+6.98)#8,414

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in Minnesota?
Top 10 Zip Codes with the Highest Female / Male Ratio in Minnesota are:
#1
400.00
#2
364.29
#3
204.24
#4
200.00
#5
194.29
#6
190.48
#7
173.91
#8
166.67
#9
166.10
#10
163.37
What zip code has the Highest Female / Male Ratio in Minnesota?
56210 has the Highest Female / Male Ratio in Minnesota with 400.00.
What is the Famale to Male Ratio in the State of 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.