Cities 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 Cities
Comparison Subject

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

0.00
4,000.00
Cities with the Highest Male / Female Ratio in Minnesota Map

Cities with the Highest Male / Female Ratio in Minnesota

City Males / 100 Females vs State vs National
1.St. John's University3,471.74100.73(+3.37k)#198.38(+3.37k)#1
2.Johnson700.00100.73(+599)#298.38(+602)#36
3.Moose Lake365.53100.73(+265)#398.38(+267)#170
4.Darfur344.44100.73(+244)#498.38(+246)#207
5.Kenneth312.50100.73(+212)#598.38(+214)#267
6.Midway300.00100.73(+199)#698.38(+202)#297
7.Stanchfield276.00100.73(+175)#798.38(+178)#360
8.Harding230.95100.73(+130)#898.38(+133)#580
9.Delhi216.67100.73(+116)#998.38(+118)#686
10.Sargeant215.38100.73(+115)#1098.38(+117)#703
11.Urbank209.09100.73(+108)#1198.38(+111)#759
12.Solway200.00100.73(+99.3)#1298.38(+102)#837
13.Kinbrae200.00100.73(+99.3)#1398.38(+102)#884
14.Walters192.00100.73(+91.3)#1498.38(+93.6)#982
15.Sandstone191.59100.73(+90.9)#1598.38(+93.2)#992
16.Roscoe188.89100.73(+88.2)#1698.38(+90.5)#1,017
17.Boyd187.69100.73(+87.0)#1798.38(+89.3)#1,042
18.Fort Ripley186.67100.73(+85.9)#1898.38(+88.3)#1,058
19.Kinney186.00100.73(+85.3)#1998.38(+87.6)#1,067
20.Tintah185.71100.73(+85.0)#2098.38(+87.3)#1,073
21.Bayport183.37100.73(+82.6)#2198.38(+85.0)#1,104
22.Richville182.35100.73(+81.6)#2298.38(+84.0)#1,119
23.St Rosa177.78100.73(+77.1)#2398.38(+79.4)#1,205
24.Trail176.47100.73(+75.7)#2498.38(+78.1)#1,229
25.Rush City176.37100.73(+75.6)#2598.38(+78.0)#1,231
26.Bingham Lake171.74100.73(+71.0)#2698.38(+73.4)#1,328
27.Tamarack171.43100.73(+70.7)#2798.38(+73.0)#1,336
28.Heidelberg170.89100.73(+70.2)#2898.38(+72.5)#1,344
29.Lismore167.89100.73(+67.2)#2998.38(+69.5)#1,431
30.Steen166.67100.73(+65.9)#3098.38(+68.3)#1,465
31.Kerrick166.67100.73(+65.9)#3198.38(+68.3)#1,481
32.Laporte163.64100.73(+62.9)#3298.38(+65.3)#1,563
33.Clements162.96100.73(+62.2)#3398.38(+64.6)#1,584
34.Vining162.16100.73(+61.4)#3498.38(+63.8)#1,610
35.Badger161.45100.73(+60.7)#3598.38(+63.1)#1,648
36.Baker161.11100.73(+60.4)#3698.38(+62.7)#1,658
37.Winton160.98100.73(+60.2)#3798.38(+62.6)#1,664
38.Altura160.38100.73(+59.7)#3898.38(+62.0)#1,689
39.South End160.00100.73(+59.3)#3998.38(+61.6)#1,706
40.Williams158.42100.73(+57.7)#4098.38(+60.0)#1,740
41.Ponemah158.18100.73(+57.5)#4198.38(+59.8)#1,748
42.Easton156.72100.73(+56.0)#4298.38(+58.3)#1,814
43.Sturgeon Lake155.75100.73(+55.0)#4398.38(+57.4)#1,856
44.Roosevelt153.62100.73(+52.9)#4498.38(+55.2)#1,953
45.St Vincent152.94100.73(+52.2)#4598.38(+54.6)#1,973
46.Lyle151.55100.73(+50.8)#4698.38(+53.2)#2,036
47.Dresbach151.46100.73(+50.7)#4798.38(+53.1)#2,041
48.Zemple151.11100.73(+50.4)#4898.38(+52.7)#2,057
49.Denham150.00100.73(+49.3)#4998.38(+51.6)#2,154
50.Leonard150.00100.73(+49.3)#5098.38(+51.6)#2,155
51.Sunburg147.22100.73(+46.5)#5198.38(+48.8)#2,287
52.Wilder147.06100.73(+46.3)#5298.38(+48.7)#2,300
53.Randall146.12100.73(+45.4)#5398.38(+47.7)#2,362
54.Bejou145.95100.73(+45.2)#5498.38(+47.6)#2,376
55.Storden145.71100.73(+45.0)#5598.38(+47.3)#2,389
56.Lastrup145.00100.73(+44.3)#5698.38(+46.6)#2,427
57.Mcintosh144.77100.73(+44.0)#5798.38(+46.4)#2,443
58.Hokah143.97100.73(+43.2)#5898.38(+45.6)#2,508
59.Courtland143.90100.73(+43.2)#5998.38(+45.5)#2,515
60.Fifty Lakes143.50100.73(+42.8)#6098.38(+45.1)#2,539
61.Elmdale143.37100.73(+42.6)#6198.38(+45.0)#2,547
62.Hilltop142.75100.73(+42.0)#6298.38(+44.4)#2,589
63.Finland142.47100.73(+41.7)#6398.38(+44.1)#2,616
64.Lengby142.11100.73(+41.4)#6498.38(+43.7)#2,644
65.Norcross141.86100.73(+41.1)#6598.38(+43.5)#2,663
66.Erskine141.76100.73(+41.0)#6698.38(+43.4)#2,668
67.Erhard141.54100.73(+40.8)#6798.38(+43.2)#2,683
68.Wanda141.18100.73(+40.4)#6898.38(+42.8)#2,704
69.New Auburn140.00100.73(+39.3)#6998.38(+41.6)#2,788
70.Essig140.00100.73(+39.3)#7098.38(+41.6)#2,800
71.Mcgrath140.00100.73(+39.3)#7198.38(+41.6)#2,805
72.Lake George139.25100.73(+38.5)#7298.38(+40.9)#2,868
73.Dakota138.79100.73(+38.1)#7398.38(+40.4)#2,902
74.Beardsley138.61100.73(+37.9)#7498.38(+40.2)#2,918
75.Viking138.10100.73(+37.4)#7598.38(+39.7)#2,962
76.Crown College137.91100.73(+37.2)#7698.38(+39.5)#2,979
77.Nashwauk137.69100.73(+37.0)#7798.38(+39.3)#2,998
78.Mahtowa137.66100.73(+36.9)#7898.38(+39.3)#3,003
79.Bigelow137.27100.73(+36.5)#7998.38(+38.9)#3,035
80.Whalan136.67100.73(+35.9)#8098.38(+38.3)#3,088
81.Clontarf136.67100.73(+35.9)#8198.38(+38.3)#3,089
82.Northrop136.36100.73(+35.6)#8298.38(+38.0)#3,106
83.Wykoff135.76100.73(+35.0)#8398.38(+37.4)#3,161
84.Little Rock135.66100.73(+34.9)#8498.38(+37.3)#3,175
85.Shevlin135.62100.73(+34.9)#8598.38(+37.2)#3,184
86.Conger135.56100.73(+34.8)#8698.38(+37.2)#3,189
87.Hazel Run135.29100.73(+34.6)#8798.38(+36.9)#3,214
88.Vernon Center135.06100.73(+34.3)#8898.38(+36.7)#3,242
89.Babbitt133.39100.73(+32.7)#8998.38(+35.0)#3,402
90.Nerstrand133.33100.73(+32.6)#9098.38(+34.9)#3,413
91.Frontenac132.61100.73(+31.9)#9198.38(+34.2)#3,525
92.Geneva132.45100.73(+31.7)#9298.38(+34.1)#3,546
93.Dalton132.28100.73(+31.6)#9398.38(+33.9)#3,562
94.Brewster132.03100.73(+31.3)#9498.38(+33.7)#3,584
95.Herman131.69100.73(+31.0)#9598.38(+33.3)#3,625
96.Grygla131.45100.73(+30.7)#9698.38(+33.1)#3,648
97.Wolverton131.15100.73(+30.4)#9798.38(+32.8)#3,682
98.Woodstock131.08100.73(+30.4)#9898.38(+32.7)#3,686
99.Hitterdal130.43100.73(+29.7)#9998.38(+32.1)#3,775
100.Backus130.22100.73(+29.5)#10098.38(+31.8)#3,800

Common Questions

What are the Top 10 Cities with the Highest Male / Female Ratio in Minnesota?
Top 10 Cities with the Highest Male / Female Ratio in Minnesota are:
#1
700.00
#2
365.53
#3
344.44
#4
312.50
#5
300.00
#6
276.00
#7
230.95
#8
216.67
#9
215.38
#10
209.09
What city has the Highest Male / Female Ratio in Minnesota?
Johnson has the Highest Male / Female Ratio in Minnesota with 700.00.
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.