Cities 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 Cities
Comparison Subject

Map of Cities with the Highest Female / Male Ratio in Minnesota

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

Cities with the Highest Female / Male Ratio in Minnesota

City Females / 100 Males vs State vs National
1.Barry400.0099.28(+301)#1101.64(+298)#101
2.Roy Lake264.7199.28(+165)#2101.64(+163)#290
3.Humboldt245.4599.28(+146)#3101.64(+144)#355
4.Alpha235.2999.28(+136)#4101.64(+134)#396
5.Manhattan Beach220.0099.28(+121)#5101.64(+118)#476
6.Halma208.3399.28(+109)#6101.64(+107)#581
7.Strandquist200.0099.28(+101)#7101.64(+98.4)#657
8.Donaldson200.0099.28(+101)#8101.64(+98.4)#683
9.Goodland200.0099.28(+101)#9101.64(+98.4)#684
10.Boy River200.0099.28(+101)#10101.64(+98.4)#688
11.Northome184.2199.28(+84.9)#11101.64(+82.6)#862
12.Florence180.0099.28(+80.7)#12101.64(+78.4)#936
13.Louisburg175.0099.28(+75.7)#13101.64(+73.4)#1,024
14.Hammond174.0099.28(+74.7)#14101.64(+72.4)#1,044
15.West Roy Lake168.7599.28(+69.5)#15101.64(+67.1)#1,162
16.Henriette166.6799.28(+67.4)#16101.64(+65.0)#1,212
17.Bruno164.7199.28(+65.4)#17101.64(+63.1)#1,256
18.Perley164.4499.28(+65.2)#18101.64(+62.8)#1,269
19.Lilydale164.2499.28(+65.0)#19101.64(+62.6)#1,274
20.Calumet163.3799.28(+64.1)#20101.64(+61.7)#1,299
21.Ihlen162.9699.28(+63.7)#21101.64(+61.3)#1,310
22.Strathcona160.0099.28(+60.7)#22101.64(+58.4)#1,397
23.Walker158.1399.28(+58.8)#23101.64(+56.5)#1,466
24.Gully157.8999.28(+58.6)#24101.64(+56.3)#1,478
25.Longville156.9499.28(+57.7)#25101.64(+55.3)#1,514
26.Eitzen153.1799.28(+53.9)#26101.64(+51.5)#1,695
27.Mcgregor151.9899.28(+52.7)#27101.64(+50.3)#1,767
28.Dunnell150.0099.28(+50.7)#28101.64(+48.4)#1,858
29.Nimrod150.0099.28(+50.7)#29101.64(+48.4)#1,865
30.Correll150.0099.28(+50.7)#31101.64(+48.4)#1,881
31.Hillman150.0099.28(+50.7)#32101.64(+48.4)#1,882
32.Campbell147.9599.28(+48.7)#33101.64(+46.3)#1,976
33.Hollandale144.9399.28(+45.6)#34101.64(+43.3)#2,172
34.Evan144.8399.28(+45.5)#35101.64(+43.2)#2,182
35.Inger143.5999.28(+44.3)#36101.64(+41.9)#2,279
36.Holland142.9899.28(+43.7)#37101.64(+41.3)#2,317
37.Trosky142.8699.28(+43.6)#38101.64(+41.2)#2,333
38.Albany141.3699.28(+42.1)#39101.64(+39.7)#2,442
39.Foxhome140.4399.28(+41.1)#40101.64(+38.8)#2,524
40.Bigfork140.1499.28(+40.9)#41101.64(+38.5)#2,548
41.Pine Point139.5099.28(+40.2)#42101.64(+37.9)#2,608
42.Ebro139.4799.28(+40.2)#43101.64(+37.8)#2,614
43.Mabel138.2899.28(+39.0)#44101.64(+36.6)#2,734
44.Blackduck137.6899.28(+38.4)#45101.64(+36.0)#2,789
45.Hardwick137.5099.28(+38.2)#46101.64(+35.9)#2,803
46.Stephen136.9199.28(+37.6)#47101.64(+35.3)#2,877
47.Nett Lake136.0599.28(+36.8)#48101.64(+34.4)#2,974
48.Wolf Lake135.4899.28(+36.2)#49101.64(+33.8)#3,036
49.Brandon134.8499.28(+35.6)#50101.64(+33.2)#3,106
50.Kelliher134.6799.28(+35.4)#51101.64(+33.0)#3,127
51.Cook134.1899.28(+34.9)#52101.64(+32.5)#3,171
52.Riverland133.5999.28(+34.3)#53101.64(+32.0)#3,247
53.Keewatin133.4099.28(+34.1)#54101.64(+31.8)#3,264
54.Deerwood133.3399.28(+34.1)#55101.64(+31.7)#3,269
55.Pierz131.7599.28(+32.5)#56101.64(+30.1)#3,500
56.Maynard131.6299.28(+32.3)#57101.64(+30.0)#3,520
57.Ostrander130.5699.28(+31.3)#58101.64(+28.9)#3,674
58.Willernie130.3599.28(+31.1)#59101.64(+28.7)#3,708
59.Cromwell130.1999.28(+30.9)#60101.64(+28.5)#3,730
60.Genola130.0099.28(+30.7)#61101.64(+28.4)#3,769
61.Waseca129.8699.28(+30.6)#62101.64(+28.2)#3,792
62.Borup129.8599.28(+30.6)#63101.64(+28.2)#3,795
63.Clinton129.0399.28(+29.8)#64101.64(+27.4)#3,933
64.Hatfield128.5799.28(+29.3)#65101.64(+26.9)#4,029
65.Grand Meadow128.5499.28(+29.3)#66101.64(+26.9)#4,037
66.St Joseph128.3099.28(+29.0)#67101.64(+26.7)#4,072
67.Bena128.1299.28(+28.8)#68101.64(+26.5)#4,104
68.Spring Hill127.9199.28(+28.6)#69101.64(+26.3)#4,152
69.Caledonia127.8499.28(+28.6)#70101.64(+26.2)#4,164
70.Lake Benton127.6899.28(+28.4)#71101.64(+26.0)#4,197
71.Hayward127.3799.28(+28.1)#72101.64(+25.7)#4,251
72.Wanamingo127.3499.28(+28.1)#73101.64(+25.7)#4,257
73.Marietta127.1699.28(+27.9)#74101.64(+25.5)#4,299
74.La Salle126.9299.28(+27.6)#75101.64(+25.3)#4,354
75.Stewartville126.8899.28(+27.6)#76101.64(+25.2)#4,361
76.Annandale126.8899.28(+27.6)#77101.64(+25.2)#4,363
77.Riverton126.6799.28(+27.4)#78101.64(+25.0)#4,393
78.Hendricks126.3299.28(+27.0)#79101.64(+24.7)#4,460
79.Mckinley126.0999.28(+26.8)#80101.64(+24.4)#4,503
80.Funkley125.9399.28(+26.6)#81101.64(+24.3)#4,531
81.Nielsville125.6499.28(+26.4)#82101.64(+24.0)#4,583
82.Nicollet125.5899.28(+26.3)#83101.64(+23.9)#4,594
83.Pease125.5199.28(+26.2)#84101.64(+23.9)#4,609
84.Newfolden125.1399.28(+25.8)#85101.64(+23.5)#4,683
85.Forada125.0099.28(+25.7)#86101.64(+23.4)#4,709
86.Brookston125.0099.28(+25.7)#87101.64(+23.4)#4,713
87.Ashby124.8699.28(+25.6)#88101.64(+23.2)#4,749
88.Dumont124.1999.28(+24.9)#89101.64(+22.6)#4,887
89.Mountain Lake124.0699.28(+24.8)#90101.64(+22.4)#4,917
90.Beaulieu123.8199.28(+24.5)#91101.64(+22.2)#4,995
91.Aldrich123.5399.28(+24.3)#92101.64(+21.9)#5,063
92.Sebeka123.4699.28(+24.2)#93101.64(+21.8)#5,077
93.Ogilvie123.3799.28(+24.1)#94101.64(+21.7)#5,097
94.Turtle River123.3399.28(+24.1)#95101.64(+21.7)#5,107
95.Hoffman122.9599.28(+23.7)#96101.64(+21.3)#5,220
96.Arlington122.7599.28(+23.5)#97101.64(+21.1)#5,261
97.Magnolia122.4799.28(+23.2)#98101.64(+20.8)#5,336
98.Cass Lake122.4799.28(+23.2)#99101.64(+20.8)#5,338
99.Beltrami122.2299.28(+22.9)#100101.64(+20.6)#5,403
100.Kerkhoven122.0299.28(+22.7)#101101.64(+20.4)#5,454

Common Questions

What are the Top 10 Cities with the Highest Female / Male Ratio in Minnesota?
Top 10 Cities with the Highest Female / Male Ratio in Minnesota are:
#1
400.00
#2
264.71
#3
245.45
#4
235.29
#5
220.00
#6
208.33
#7
200.00
#8
200.00
#9
200.00
#10
184.21
What city has the Highest Female / Male Ratio in Minnesota?
Barry 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.