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

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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
North Dakota
Compare Zip Codes
Comparison Subject

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

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800.00
Zip Codes with the Highest Male / Female Ratio in North Dakota Map

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

Zip Code Males / 100 Females vs State vs National
1.58205644.12105.78(+538)#198.38(+546)#109
2.58236600.00105.78(+494)#298.38(+502)#123
3.58452477.78105.78(+372)#398.38(+379)#166
4.58705400.00105.78(+294)#498.38(+302)#200
5.58713400.00105.78(+294)#598.38(+302)#201
6.58402395.65105.78(+290)#698.38(+297)#208
7.58065350.00105.78(+244)#798.38(+252)#250
8.58776298.44105.78(+193)#898.38(+200)#332
9.58266292.50105.78(+187)#998.38(+194)#338
10.58325276.47105.78(+171)#1098.38(+178)#368
11.58794267.86105.78(+162)#1198.38(+169)#385
12.58644250.00105.78(+144)#1298.38(+152)#441
13.58239233.33105.78(+128)#1398.38(+135)#502
14.58488223.91105.78(+118)#1498.38(+126)#558
15.58262222.22105.78(+116)#1598.38(+124)#565
16.58323220.00105.78(+114)#1698.38(+122)#587
17.58856204.35105.78(+98.6)#1798.38(+106)#705
18.58755198.55105.78(+92.8)#1898.38(+100)#774
19.58830190.57105.78(+84.8)#1998.38(+92.2)#870
20.58281190.00105.78(+84.2)#2098.38(+91.6)#880
21.58581185.29105.78(+79.5)#2198.38(+86.9)#945
22.58029185.19105.78(+79.4)#2298.38(+86.8)#947
23.58430183.02105.78(+77.2)#2398.38(+84.6)#976
24.58845181.16105.78(+75.4)#2498.38(+82.8)#1,006
25.58380174.52105.78(+68.7)#2598.38(+76.1)#1,123
26.58847171.30105.78(+65.5)#2698.38(+72.9)#1,183
27.58382169.77105.78(+64.0)#2798.38(+71.4)#1,207
28.58795168.42105.78(+62.6)#2898.38(+70.0)#1,246
29.58321167.57105.78(+61.8)#2998.38(+69.2)#1,270
30.58076165.33105.78(+59.5)#3098.38(+66.9)#1,315
31.58476164.10105.78(+58.3)#3198.38(+65.7)#1,348
32.58735163.93105.78(+58.2)#3298.38(+65.6)#1,352
33.58769163.64105.78(+57.9)#3398.38(+65.3)#1,358
34.58424158.72105.78(+52.9)#3498.38(+60.3)#1,486
35.58355157.89105.78(+52.1)#3598.38(+59.5)#1,510
36.58241156.47105.78(+50.7)#3698.38(+58.1)#1,575
37.58013155.81105.78(+50.0)#3798.38(+57.4)#1,598
38.58454154.69105.78(+48.9)#3898.38(+56.3)#1,645
39.58723153.01105.78(+47.2)#3998.38(+54.6)#1,694
40.58712151.61105.78(+45.8)#4098.38(+53.2)#1,753
41.58549151.26105.78(+45.5)#4198.38(+52.9)#1,770
42.58265150.45105.78(+44.7)#4298.38(+52.1)#1,811
43.58030148.87105.78(+43.1)#4398.38(+50.5)#1,899
44.58782148.50105.78(+42.7)#4498.38(+50.1)#1,917
45.58439148.00105.78(+42.2)#4598.38(+49.6)#1,944
46.58386148.00105.78(+42.2)#4698.38(+49.6)#1,945
47.58338147.62105.78(+41.8)#4798.38(+49.2)#1,969
48.58440143.24105.78(+37.5)#4898.38(+44.9)#2,186
49.58731143.15105.78(+37.4)#4998.38(+44.8)#2,190
50.58649142.97105.78(+37.2)#5098.38(+44.6)#2,203
51.58007142.55105.78(+36.8)#5198.38(+44.2)#2,229
52.58365142.03105.78(+36.3)#5298.38(+43.6)#2,261
53.58445141.86105.78(+36.1)#5398.38(+43.5)#2,279
54.58317141.03105.78(+35.2)#5498.38(+42.6)#2,334
55.58282140.23105.78(+34.5)#5598.38(+41.8)#2,387
56.58643139.22105.78(+33.4)#5698.38(+40.8)#2,466
57.58740139.08105.78(+33.3)#5798.38(+40.7)#2,474
58.58757138.98105.78(+33.2)#5898.38(+40.6)#2,482
59.58363138.71105.78(+32.9)#5998.38(+40.3)#2,504
60.58345137.88105.78(+32.1)#6098.38(+39.5)#2,558
61.58622137.78105.78(+32.0)#6198.38(+39.4)#2,565
62.58483137.58105.78(+31.8)#6298.38(+39.2)#2,584
63.58062137.50105.78(+31.7)#6398.38(+39.1)#2,588
64.58374137.33105.78(+31.6)#6498.38(+38.9)#2,604
65.58833136.67105.78(+30.9)#6598.38(+38.3)#2,676
66.58250135.96105.78(+30.2)#6698.38(+37.6)#2,750
67.58353135.90105.78(+30.1)#6798.38(+37.5)#2,758
68.58778135.85105.78(+30.1)#6898.38(+37.5)#2,763
69.58721134.05105.78(+28.3)#6998.38(+35.7)#2,948
70.58640133.97105.78(+28.2)#7098.38(+35.6)#2,958
71.58057133.77105.78(+28.0)#7198.38(+35.4)#2,984
72.58060133.66105.78(+27.9)#7298.38(+35.3)#2,998
73.58331132.43105.78(+26.7)#7398.38(+34.0)#3,133
74.58625132.26105.78(+26.5)#7498.38(+33.9)#3,154
75.58620131.65105.78(+25.9)#7598.38(+33.3)#3,215
76.58626131.27105.78(+25.5)#7698.38(+32.9)#3,245
77.58233130.83105.78(+25.1)#7798.38(+32.4)#3,298
78.58423130.77105.78(+25.0)#7898.38(+32.4)#3,314
79.58494130.60105.78(+24.8)#7998.38(+32.2)#3,328
80.58711130.28105.78(+24.5)#8098.38(+31.9)#3,369
81.58311130.00105.78(+24.2)#8198.38(+31.6)#3,411
82.58339130.00105.78(+24.2)#8298.38(+31.6)#3,415
83.58049129.92105.78(+24.1)#8398.38(+31.5)#3,421
84.58779129.73105.78(+24.0)#8498.38(+31.3)#3,437
85.58532129.17105.78(+23.4)#8598.38(+30.8)#3,511
86.58482128.74105.78(+23.0)#8698.38(+30.4)#3,557
87.58218128.61105.78(+22.8)#8798.38(+30.2)#3,569
88.58357128.28105.78(+22.5)#8898.38(+29.9)#3,635
89.58655128.19105.78(+22.4)#8998.38(+29.8)#3,647
90.58744128.00105.78(+22.2)#9098.38(+29.6)#3,673
91.58017127.97105.78(+22.2)#9198.38(+29.6)#3,678
92.58564127.91105.78(+22.1)#9298.38(+29.5)#3,698
93.58748127.87105.78(+22.1)#9398.38(+29.5)#3,699
94.58429127.73105.78(+22.0)#9498.38(+29.3)#3,722
95.58448127.52105.78(+21.7)#9598.38(+29.1)#3,753
96.58844127.27105.78(+21.5)#9698.38(+28.9)#3,787
97.58216127.03105.78(+21.2)#9798.38(+28.6)#3,821
98.58260127.00105.78(+21.2)#9898.38(+28.6)#3,828
99.58490126.72105.78(+20.9)#9998.38(+28.3)#3,866
100.58273126.47105.78(+20.7)#10098.38(+28.1)#3,911

Common Questions

What are the Top 10 Zip Codes with the Highest Male / Female Ratio in North Dakota?
Top 10 Zip Codes with the Highest Male / Female Ratio in North Dakota are:
#1
644.12
#2
600.00
#3
477.78
#4
400.00
#5
400.00
#6
395.65
#7
350.00
#8
298.44
#9
292.50
#10
276.47
What zip code has the Highest Male / Female Ratio in North Dakota?
58205 has the Highest Male / Female Ratio in North Dakota with 644.12.
What is the Male to Female Ratio in the State of North Dakota?
Male to Female Ratio in North Dakota is 105.78.
What is the Male to Female Ratio in the United States?
Male to Female Ratio in the United States is 98.38.