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

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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

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

100.00
200.00
Zip Codes with the Highest Female / Male Ratio in North Dakota Map

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

Zip Code Females / 100 Males vs State vs National
1. 58443 181.25 94.54 (+86.7)#1 101.64 (+79.6)#554
2. 58451 175.00 94.54 (+80.5)#2 101.64 (+73.4)#612
3. 58477 172.22 94.54 (+77.7)#3 101.64 (+70.6)#645
4. 58258 163.00 94.54 (+68.5)#4 101.64 (+61.4)#780
5. 58707 161.03 94.54 (+66.5)#5 101.64 (+59.4)#820
6. 58768 159.35 94.54 (+64.8)#6 101.64 (+57.7)#852
7. 58441 145.45 94.54 (+50.9)#7 101.64 (+43.8)#1,231
8. 58269 143.33 94.54 (+48.8)#8 101.64 (+41.7)#1,299
9. 58762 140.51 94.54 (+46.0)#9 101.64 (+38.9)#1,424
10. 58654 134.69 94.54 (+40.2)#10 101.64 (+33.1)#1,725
11. 58016 134.09 94.54 (+39.6)#11 101.64 (+32.4)#1,758
12. 58566 133.94 94.54 (+39.4)#12 101.64 (+32.3)#1,772
13. 58787 132.14 94.54 (+37.6)#13 101.64 (+30.5)#1,913
14. 58758 131.62 94.54 (+37.1)#14 101.64 (+30.0)#1,960
15. 58031 130.64 94.54 (+36.1)#15 101.64 (+29.0)#2,044
16. 58058 130.36 94.54 (+35.8)#16 101.64 (+28.7)#2,078
17. 58229 129.63 94.54 (+35.1)#17 101.64 (+28.0)#2,144
18. 58631 129.47 94.54 (+34.9)#18 101.64 (+27.8)#2,154
19. 58343 129.17 94.54 (+34.6)#19 101.64 (+27.5)#2,178
20. 58761 127.96 94.54 (+33.4)#20 101.64 (+26.3)#2,323
21. 58455 125.88 94.54 (+31.3)#21 101.64 (+24.2)#2,565
22. 58481 125.53 94.54 (+31.0)#22 101.64 (+23.9)#2,607
23. 58420 125.16 94.54 (+30.6)#23 101.64 (+23.5)#2,654
24. 58656 124.39 94.54 (+29.9)#24 101.64 (+22.7)#2,761
25. 58329 123.91 94.54 (+29.4)#25 101.64 (+22.3)#2,832
26. 58362 122.22 94.54 (+27.7)#26 101.64 (+20.6)#3,136
27. 58638 122.07 94.54 (+27.5)#27 101.64 (+20.4)#3,155
28. 58647 122.01 94.54 (+27.5)#28 101.64 (+20.4)#3,169
29. 58716 121.74 94.54 (+27.2)#29 101.64 (+20.1)#3,221
30. 58259 120.66 94.54 (+26.1)#30 101.64 (+19.0)#3,448
31. 58330 120.60 94.54 (+26.1)#31 101.64 (+19.0)#3,463
32. 58224 120.00 94.54 (+25.5)#32 101.64 (+18.4)#3,587
33. 58433 118.68 94.54 (+24.1)#33 101.64 (+17.0)#3,895
34. 58235 117.74 94.54 (+23.2)#34 101.64 (+16.1)#4,165
35. 58771 115.35 94.54 (+20.8)#35 101.64 (+13.7)#4,936
36. 58790 115.34 94.54 (+20.8)#36 101.64 (+13.7)#4,941
37. 58425 115.03 94.54 (+20.5)#37 101.64 (+13.4)#5,059
38. 58244 115.00 94.54 (+20.5)#38 101.64 (+13.4)#5,072
39. 58478 113.56 94.54 (+19.0)#39 101.64 (+11.9)#5,626
40. 58227 113.15 94.54 (+18.6)#40 101.64 (+11.5)#5,812
41. 58486 112.99 94.54 (+18.4)#41 101.64 (+11.3)#5,880
42. 58220 112.74 94.54 (+18.2)#42 101.64 (+11.1)#6,008
43. 58741 112.66 94.54 (+18.1)#43 101.64 (+11.0)#6,041
44. 58571 112.47 94.54 (+17.9)#44 101.64 (+10.8)#6,140
45. 58651 112.35 94.54 (+17.8)#45 101.64 (+10.7)#6,202
46. 58497 111.90 94.54 (+17.4)#46 101.64 (+10.3)#6,414
47. 58569 111.76 94.54 (+17.2)#47 101.64 (+10.1)#6,482
48. 58521 111.71 94.54 (+17.2)#48 101.64 (+10.1)#6,512
49. 58760 111.61 94.54 (+17.1)#49 101.64 (+9.96)#6,572
50. 58853 111.11 94.54 (+16.6)#50 101.64 (+9.47)#6,812
51. 58335 111.09 94.54 (+16.6)#51 101.64 (+9.45)#6,828
52. 58042 110.95 94.54 (+16.4)#52 101.64 (+9.31)#6,907
53. 58344 110.83 94.54 (+16.3)#53 101.64 (+9.19)#6,992
54. 58730 110.61 94.54 (+16.1)#54 101.64 (+8.97)#7,121
55. 58413 110.17 94.54 (+15.6)#55 101.64 (+8.53)#7,368
56. 58552 109.89 94.54 (+15.4)#56 101.64 (+8.25)#7,548
57. 58251 109.84 94.54 (+15.3)#57 101.64 (+8.20)#7,578
58. 58277 109.72 94.54 (+15.2)#58 101.64 (+8.08)#7,660
59. 58043 109.52 94.54 (+15.0)#59 101.64 (+7.88)#7,790
60. 58366 109.35 94.54 (+14.8)#60 101.64 (+7.71)#7,896
61. 58341 108.93 94.54 (+14.4)#61 101.64 (+7.29)#8,210
62. 58641 108.82 94.54 (+14.3)#62 101.64 (+7.18)#8,284
63. 58071 108.63 94.54 (+14.1)#63 101.64 (+6.99)#8,410
64. 58480 108.51 94.54 (+14.0)#64 101.64 (+6.87)#8,501
65. 58576 108.35 94.54 (+13.8)#65 101.64 (+6.71)#8,612
66. 58495 108.30 94.54 (+13.8)#66 101.64 (+6.66)#8,652
67. 58015 108.13 94.54 (+13.6)#67 101.64 (+6.49)#8,784
68. 58533 108.04 94.54 (+13.5)#68 101.64 (+6.40)#8,855
69. 58276 107.66 94.54 (+13.1)#69 101.64 (+6.01)#9,155
70. 58442 107.53 94.54 (+13.0)#70 101.64 (+5.89)#9,254
71. 58523 107.22 94.54 (+12.7)#71 101.64 (+5.58)#9,515
72. 58503 106.88 94.54 (+12.3)#72 101.64 (+5.23)#9,812
73. 58565 106.82 94.54 (+12.3)#73 101.64 (+5.18)#9,856
74. 58361 106.25 94.54 (+11.7)#74 101.64 (+4.61)#10,382
75. 58646 106.14 94.54 (+11.6)#75 101.64 (+4.50)#10,473
76. 58750 105.98 94.54 (+11.4)#76 101.64 (+4.34)#10,607
77. 58528 105.91 94.54 (+11.4)#77 101.64 (+4.27)#10,665
78. 58467 105.90 94.54 (+11.4)#78 101.64 (+4.26)#10,678
79. 58104 105.83 94.54 (+11.3)#79 101.64 (+4.18)#10,749
80. 58081 105.50 94.54 (+11.0)#80 101.64 (+3.85)#11,061
81. 58426 105.26 94.54 (+10.7)#81 101.64 (+3.62)#11,276
82. 58763 104.94 94.54 (+10.4)#82 101.64 (+3.30)#11,577
83. 58327 104.62 94.54 (+10.1)#83 101.64 (+2.98)#11,864
84. 58053 104.48 94.54 (+9.95)#84 101.64 (+2.84)#12,002
85. 58438 104.48 94.54 (+9.94)#85 101.64 (+2.84)#12,006
86. 58204 104.17 94.54 (+9.63)#86 101.64 (+2.53)#12,289
87. 58231 104.00 94.54 (+9.46)#87 101.64 (+2.36)#12,458
88. 58348 103.64 94.54 (+9.10)#88 101.64 (+2.00)#12,802
89. 58642 103.16 94.54 (+8.63)#89 101.64 (+1.52)#13,227
90. 58301 103.15 94.54 (+8.61)#90 101.64 (+1.51)#13,241
91. 58529 103.12 94.54 (+8.58)#91 101.64 (+1.47)#13,284
92. 58636 103.04 94.54 (+8.51)#92 101.64 (+1.40)#13,350
93. 58368 102.98 94.54 (+8.44)#93 101.64 (+1.34)#13,416
94. 58219 102.94 94.54 (+8.40)#94 101.64 (+1.30)#13,458
95. 58561 102.93 94.54 (+8.39)#95 101.64 (+1.29)#13,472
96. 58332 102.68 94.54 (+8.14)#96 101.64 (+1.04)#13,729
97. 58270 102.44 94.54 (+7.91)#97 101.64 (+0.802)#13,982
98. 58575 102.38 94.54 (+7.84)#98 101.64 (+0.738)#14,052
99. 58718 102.27 94.54 (+7.74)#99 101.64 (+0.630)#14,152
100. 58385 102.06 94.54 (+7.52)#100 101.64 (+0.419)#14,376

Common Questions

What are the Top 10 Zip Codes with the Highest Female / Male Ratio in North Dakota?
Top 10 Zip Codes with the Highest Female / Male Ratio in North Dakota are:
#1
181.25
#2
175.00
#3
172.22
#4
163.00
#5
161.03
#6
159.35
#7
145.45
#8
143.33
#9
140.51
#10
134.69
What zip code has the Highest Female / Male Ratio in North Dakota?
58443 has the Highest Female / Male Ratio in North Dakota with 181.25.
What is the Famale to Male Ratio in the State of North Dakota?
Famale to Male Ratio in North Dakota is 94.54.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.