Zip Codes with the Highest Female / Male Ratio in North Dakota [ 301 - 400 ]

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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
North Dakota
Compare Zip Codes
Comparison Subject

Zip Codes with the Highest Female / Male Ratio in North Dakota

Zip Code Females / 100 Males vs State vs National
301.5853277.4294.54(-17.1)#301101.64(-24.2)#29,426
302.5877977.0894.54(-17.5)#302101.64(-24.6)#29,497
303.5804976.9794.54(-17.6)#303101.64(-24.7)#29,514
304.5831176.9294.54(-17.6)#304101.64(-24.7)#29,525
305.5833976.9294.54(-17.6)#305101.64(-24.7)#29,530
306.5871176.7694.54(-17.8)#306101.64(-24.9)#29,566
307.5849476.5794.54(-18.0)#307101.64(-25.1)#29,607
308.5842376.4794.54(-18.1)#308101.64(-25.2)#29,625
309.5823376.4394.54(-18.1)#309101.64(-25.2)#29,637
310.5862676.1894.54(-18.4)#310101.64(-25.5)#29,690
311.5862075.9694.54(-18.6)#311101.64(-25.7)#29,721
312.5862575.6194.54(-18.9)#312101.64(-26.0)#29,782
313.5833175.5194.54(-19.0)#313101.64(-26.1)#29,802
314.5806074.8294.54(-19.7)#314101.64(-26.8)#29,937
315.5805774.7694.54(-19.8)#315101.64(-26.9)#29,951
316.5864074.6494.54(-19.9)#316101.64(-27.0)#29,977
317.5872174.6094.54(-19.9)#317101.64(-27.0)#29,986
318.5877873.6194.54(-20.9)#318101.64(-28.0)#30,175
319.5835373.5894.54(-21.0)#319101.64(-28.1)#30,178
320.5825073.5594.54(-21.0)#320101.64(-28.1)#30,186
321.5883373.1794.54(-21.4)#321101.64(-28.5)#30,259
322.5837472.8294.54(-21.7)#322101.64(-28.8)#30,331
323.5806272.7394.54(-21.8)#323101.64(-28.9)#30,344
324.5848372.6894.54(-21.9)#324101.64(-29.0)#30,351
325.5862272.5894.54(-22.0)#325101.64(-29.1)#30,370
326.5834572.5394.54(-22.0)#326101.64(-29.1)#30,377
327.5836372.0994.54(-22.4)#327101.64(-29.5)#30,434
328.5875771.9594.54(-22.6)#328101.64(-29.7)#30,453
329.5874071.9094.54(-22.6)#329101.64(-29.7)#30,461
330.5864371.8394.54(-22.7)#330101.64(-29.8)#30,469
331.5828271.3194.54(-23.2)#331101.64(-30.3)#30,548
332.5831770.9194.54(-23.6)#332101.64(-30.7)#30,601
333.5844570.4994.54(-24.0)#333101.64(-31.2)#30,656
334.5836570.4194.54(-24.1)#334101.64(-31.2)#30,674
335.5800770.1594.54(-24.4)#335101.64(-31.5)#30,706
336.5864969.9594.54(-24.6)#336101.64(-31.7)#30,732
337.5873169.8694.54(-24.7)#337101.64(-31.8)#30,745
338.5844069.8194.54(-24.7)#338101.64(-31.8)#30,749
339.5833867.7494.54(-26.8)#339101.64(-33.9)#30,967
340.5843967.5794.54(-27.0)#340101.64(-34.1)#30,991
341.5838667.5794.54(-27.0)#341101.64(-34.1)#30,992
342.5878267.3494.54(-27.2)#342101.64(-34.3)#31,018
343.5803067.1794.54(-27.4)#343101.64(-34.5)#31,036
344.5826566.4794.54(-28.1)#344101.64(-35.2)#31,124
345.5854966.1194.54(-28.4)#345101.64(-35.5)#31,165
346.5871265.9694.54(-28.6)#346101.64(-35.7)#31,183
347.5872365.3594.54(-29.2)#347101.64(-36.3)#31,241
348.5845464.6594.54(-29.9)#348101.64(-37.0)#31,290
349.5801364.1894.54(-30.4)#349101.64(-37.5)#31,337
350.5824163.9194.54(-30.6)#350101.64(-37.7)#31,360
351.5835563.3394.54(-31.2)#351101.64(-38.3)#31,427
352.5842463.0094.54(-31.5)#352101.64(-38.6)#31,449
353.5876961.1194.54(-33.4)#353101.64(-40.5)#31,576
354.5873561.0094.54(-33.5)#354101.64(-40.6)#31,583
355.5847660.9494.54(-33.6)#355101.64(-40.7)#31,587
356.5807660.4994.54(-34.1)#356101.64(-41.2)#31,620
357.5832159.6894.54(-34.9)#357101.64(-42.0)#31,665
358.5879559.3894.54(-35.2)#358101.64(-42.3)#31,687
359.5838258.9094.54(-35.6)#359101.64(-42.7)#31,728
360.5884758.3894.54(-36.2)#360101.64(-43.3)#31,752
361.5838057.3094.54(-37.2)#361101.64(-44.3)#31,812
362.5884555.2094.54(-39.3)#362101.64(-46.4)#31,929
363.5843054.6494.54(-39.9)#363101.64(-47.0)#31,960
364.5802954.0094.54(-40.5)#364101.64(-47.6)#31,988
365.5858153.9794.54(-40.6)#365101.64(-47.7)#31,991
366.5828152.6394.54(-41.9)#366101.64(-49.0)#32,055
367.5883052.4894.54(-42.1)#367101.64(-49.2)#32,065
368.5875550.3694.54(-44.2)#368101.64(-51.3)#32,161
369.5885648.9494.54(-45.6)#369101.64(-52.7)#32,230
370.5832345.4594.54(-49.1)#370101.64(-56.2)#32,347
371.5826245.0094.54(-49.5)#371101.64(-56.6)#32,370
372.5848844.6694.54(-49.9)#372101.64(-57.0)#32,377
373.5823942.8694.54(-51.7)#373101.64(-58.8)#32,437
374.5864440.0094.54(-54.5)#374101.64(-61.6)#32,500
375.5879437.3394.54(-57.2)#375101.64(-64.3)#32,550
376.5832536.1794.54(-58.4)#376101.64(-65.5)#32,567
377.5826634.1994.54(-60.3)#377101.64(-67.5)#32,597
378.5877633.5194.54(-61.0)#378101.64(-68.1)#32,603
379.5806528.5794.54(-66.0)#379101.64(-73.1)#32,685
380.5840225.2794.54(-69.3)#380101.64(-76.4)#32,727
381.5870525.0094.54(-69.5)#381101.64(-76.6)#32,730
382.5871325.0094.54(-69.5)#382101.64(-76.6)#32,731
383.5845220.9394.54(-73.6)#383101.64(-80.7)#32,770
384.5823616.6794.54(-77.9)#384101.64(-85.0)#32,810
385.5820515.5394.54(-79.0)#385101.64(-86.1)#32,826