Zip Codes with the Highest Male / Female Ratio in Minnesota [ 101 - 200 ]

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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
101.55779122.58100.73(+21.9)#10198.38(+24.2)#4,564
102.56153122.58100.73(+21.9)#10298.38(+24.2)#4,566
103.55718122.58100.73(+21.9)#10398.38(+24.2)#4,568
104.55764122.45100.73(+21.7)#10498.38(+24.1)#4,593
105.56209122.27100.73(+21.5)#10598.38(+23.9)#4,625
106.56227122.02100.73(+21.3)#10698.38(+23.6)#4,679
107.56324121.95100.73(+21.2)#10798.38(+23.6)#4,692
108.55783121.85100.73(+21.1)#10898.38(+23.5)#4,710
109.56659121.79100.73(+21.1)#10998.38(+23.4)#4,726
110.55951121.63100.73(+20.9)#11098.38(+23.2)#4,760
111.56226121.59100.73(+20.9)#11198.38(+23.2)#4,769
112.56584121.41100.73(+20.7)#11298.38(+23.0)#4,815
113.56763121.32100.73(+20.6)#11398.38(+22.9)#4,839
114.55071121.12100.73(+20.4)#11498.38(+22.7)#4,882
115.56042120.81100.73(+20.1)#11598.38(+22.4)#4,958
116.56123120.81100.73(+20.1)#11698.38(+22.4)#4,959
117.56314120.77100.73(+20.0)#11798.38(+22.4)#4,962
118.55950120.75100.73(+20.0)#11898.38(+22.4)#4,968
119.56288120.63100.73(+19.9)#11998.38(+22.2)#4,996
120.56255120.23100.73(+19.5)#12098.38(+21.8)#5,086
121.55080120.10100.73(+19.4)#12198.38(+21.7)#5,114
122.55370120.07100.73(+19.3)#12298.38(+21.7)#5,126
123.56389120.00100.73(+19.3)#12398.38(+21.6)#5,143
124.56263119.91100.73(+19.2)#12498.38(+21.5)#5,163
125.55763119.91100.73(+19.2)#12598.38(+21.5)#5,164
126.56173119.83100.73(+19.1)#12698.38(+21.4)#5,184
127.55012119.79100.73(+19.1)#12798.38(+21.4)#5,194
128.56469119.40100.73(+18.7)#12898.38(+21.0)#5,297
129.56647119.21100.73(+18.5)#12998.38(+20.8)#5,334
130.56121119.05100.73(+18.3)#13098.38(+20.7)#5,365
131.56644118.91100.73(+18.2)#13198.38(+20.5)#5,402
132.55329118.73100.73(+18.0)#13298.38(+20.3)#5,445
133.56592118.67100.73(+17.9)#13398.38(+20.3)#5,454
134.55404118.57100.73(+17.8)#13498.38(+20.2)#5,479
135.56581118.33100.73(+17.6)#13598.38(+19.9)#5,537
136.56373118.33100.73(+17.6)#13698.38(+19.9)#5,539
137.56332118.24100.73(+17.5)#13798.38(+19.9)#5,561
138.55390118.19100.73(+17.5)#13898.38(+19.8)#5,573
139.55356118.02100.73(+17.3)#13998.38(+19.6)#5,631
140.56535117.89100.73(+17.2)#14098.38(+19.5)#5,667
141.56090117.86100.73(+17.1)#14198.38(+19.5)#5,681
142.56243117.76100.73(+17.0)#14298.38(+19.4)#5,705
143.55935117.73100.73(+17.0)#14398.38(+19.3)#5,718
144.55055117.73100.73(+17.0)#14498.38(+19.3)#5,719
145.56516117.69100.73(+17.0)#14598.38(+19.3)#5,729
146.56251117.63100.73(+16.9)#14698.38(+19.2)#5,745
147.56723117.63100.73(+16.9)#14798.38(+19.2)#5,746
148.56579117.52100.73(+16.8)#14898.38(+19.1)#5,775
149.55053117.40100.73(+16.7)#14998.38(+19.0)#5,817
150.56327117.25100.73(+16.5)#15098.38(+18.9)#5,860
151.56151117.17100.73(+16.4)#15198.38(+18.8)#5,891
152.56216117.15100.73(+16.4)#15298.38(+18.8)#5,898
153.55322117.15100.73(+16.4)#15398.38(+18.8)#5,899
154.55910117.10100.73(+16.4)#15498.38(+18.7)#5,916
155.56534116.89100.73(+16.2)#15598.38(+18.5)#5,970
156.56312116.84100.73(+16.1)#15698.38(+18.5)#5,986
157.56078116.81100.73(+16.1)#15798.38(+18.4)#5,996
158.56115116.81100.73(+16.1)#15898.38(+18.4)#5,999
159.55933116.67100.73(+15.9)#15998.38(+18.3)#6,051
160.55376116.58100.73(+15.9)#16098.38(+18.2)#6,091
161.56167116.44100.73(+15.7)#16198.38(+18.1)#6,130
162.56316116.38100.73(+15.6)#16298.38(+18.0)#6,150
163.55808116.29100.73(+15.6)#16398.38(+17.9)#6,182
164.55977116.28100.73(+15.6)#16498.38(+17.9)#6,185
165.56335116.19100.73(+15.5)#16598.38(+17.8)#6,210
166.56666116.19100.73(+15.5)#16698.38(+17.8)#6,214
167.56289116.14100.73(+15.4)#16798.38(+17.8)#6,226
168.56249116.03100.73(+15.3)#16898.38(+17.6)#6,258
169.56523115.85100.73(+15.1)#16998.38(+17.5)#6,307
170.56098115.82100.73(+15.1)#17098.38(+17.4)#6,315
171.56034115.73100.73(+15.0)#17198.38(+17.3)#6,343
172.55959115.61100.73(+14.9)#17298.38(+17.2)#6,383
173.56128115.57100.73(+14.8)#17398.38(+17.2)#6,394
174.55765115.54100.73(+14.8)#17498.38(+17.2)#6,400
175.56382115.53100.73(+14.8)#17598.38(+17.1)#6,403
176.55709115.53100.73(+14.8)#17698.38(+17.1)#6,404
177.56336115.45100.73(+14.7)#17798.38(+17.1)#6,441
178.56548115.43100.73(+14.7)#17898.38(+17.0)#6,448
179.55375115.39100.73(+14.7)#17998.38(+17.0)#6,458
180.56468115.33100.73(+14.6)#18098.38(+16.9)#6,476
181.55968115.25100.73(+14.5)#18198.38(+16.9)#6,505
182.56032115.24100.73(+14.5)#18298.38(+16.9)#6,509
183.55956115.20100.73(+14.5)#18398.38(+16.8)#6,524
184.56662115.19100.73(+14.5)#18498.38(+16.8)#6,528
185.56016115.18100.73(+14.4)#18598.38(+16.8)#6,532
186.55359115.09100.73(+14.4)#18698.38(+16.7)#6,552
187.56282115.09100.73(+14.4)#18798.38(+16.7)#6,557
188.55735115.07100.73(+14.3)#18898.38(+16.7)#6,562
189.56211115.02100.73(+14.3)#18998.38(+16.6)#6,582
190.56576115.00100.73(+14.3)#19098.38(+16.6)#6,593
191.56019114.84100.73(+14.1)#19198.38(+16.5)#6,636
192.56260114.83100.73(+14.1)#19298.38(+16.4)#6,639
193.55949114.81100.73(+14.1)#19398.38(+16.4)#6,648
194.56169114.78100.73(+14.1)#19498.38(+16.4)#6,662
195.55733114.72100.73(+14.0)#19598.38(+16.3)#6,680
196.56276114.71100.73(+14.0)#19698.38(+16.3)#6,693
197.56052114.55100.73(+13.8)#19798.38(+16.2)#6,750
198.56116114.55100.73(+13.8)#19898.38(+16.2)#6,756
199.56369114.49100.73(+13.8)#19998.38(+16.1)#6,779
200.56224114.38100.73(+13.7)#20098.38(+16.0)#6,807