Zip Codes with the Youngest Female Population in North Dakota

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Youngest Population | Female
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 Youngest Female Population in North Dakota

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Zip Codes with the Youngest Female Population in North Dakota Map

Zip Codes with the Youngest Female Population in North Dakota

Zip Code Median Age vs State vs National
1. 58776 7.9 36.3 (-28.4)#1 39.7 (-31.8)#24
2. 58339 10.3 36.3 (-26.0)#2 39.7 (-29.4)#46
3. 58768 14.7 36.3 (-21.6)#3 39.7 (-25.0)#104
4. 58335 16.0 36.3 (-20.3)#4 39.7 (-23.7)#136
5. 58372 16.9 36.3 (-19.4)#5 39.7 (-22.8)#149
6. 58105 19.2 36.3 (-17.1)#6 39.7 (-20.5)#282
7. 58327 19.3 36.3 (-17.0)#7 39.7 (-20.4)#315
8. 58202 19.4 36.3 (-16.9)#8 39.7 (-20.3)#327
9. 58076 19.4 36.3 (-16.9)#9 39.7 (-20.3)#337
10. 58707 19.6 36.3 (-16.7)#10 39.7 (-20.1)#387
11. 58405 19.9 36.3 (-16.4)#11 39.7 (-19.8)#452
12. 58205 20.5 36.3 (-15.8)#12 39.7 (-19.2)#536
13. 58241 20.5 36.3 (-15.8)#13 39.7 (-19.2)#538
14. 58560 20.6 36.3 (-15.7)#14 39.7 (-19.1)#555
15. 58705 21.4 36.3 (-14.9)#15 39.7 (-18.3)#650
16. 58528 21.6 36.3 (-14.7)#16 39.7 (-18.1)#682
17. 58420 21.8 36.3 (-14.5)#17 39.7 (-17.9)#708
18. 58704 22.1 36.3 (-14.2)#18 39.7 (-17.6)#747
19. 58204 22.3 36.3 (-14.0)#19 39.7 (-17.4)#765
20. 58477 22.4 36.3 (-13.9)#20 39.7 (-17.3)#780
21. 58762 23.6 36.3 (-12.7)#21 39.7 (-16.1)#920
22. 58031 23.9 36.3 (-12.4)#22 39.7 (-15.8)#958
23. 58379 24.8 36.3 (-11.5)#23 39.7 (-14.9)#1,047
24. 58370 25.4 36.3 (-10.9)#24 39.7 (-14.3)#1,107
25. 58538 25.7 36.3 (-10.6)#25 39.7 (-14.0)#1,147
26. 58853 25.9 36.3 (-10.4)#26 39.7 (-13.8)#1,181
27. 58235 26.5 36.3 (-9.80)#27 39.7 (-13.2)#1,261
28. 58424 27.0 36.3 (-9.30)#28 39.7 (-12.7)#1,355
29. 58203 28.2 36.3 (-8.10)#29 39.7 (-11.5)#1,578
30. 58569 28.5 36.3 (-7.80)#30 39.7 (-11.2)#1,679
31. 58636 29.0 36.3 (-7.30)#31 39.7 (-10.7)#1,812
32. 58564 29.0 36.3 (-7.30)#32 39.7 (-10.7)#1,822
33. 58366 29.2 36.3 (-7.10)#33 39.7 (-10.5)#1,857
34. 58476 29.4 36.3 (-6.90)#34 39.7 (-10.3)#1,904
35. 58355 29.4 36.3 (-6.90)#35 39.7 (-10.3)#1,912
36. 58854 29.5 36.3 (-6.80)#36 39.7 (-10.2)#1,919
37. 58277 29.5 36.3 (-6.80)#37 39.7 (-10.2)#1,942
38. 58441 29.7 36.3 (-6.60)#38 39.7 (-10.0)#2,004
39. 58737 30.1 36.3 (-6.20)#39 39.7 (-9.60)#2,153
40. 58329 30.2 36.3 (-6.10)#40 39.7 (-9.50)#2,173
41. 58757 30.3 36.3 (-6.00)#41 39.7 (-9.40)#2,213
42. 58102 30.5 36.3 (-5.80)#42 39.7 (-9.20)#2,279
43. 58244 30.5 36.3 (-5.80)#43 39.7 (-9.20)#2,312
44. 58445 30.6 36.3 (-5.70)#44 39.7 (-9.10)#2,348
45. 58316 30.7 36.3 (-5.60)#45 39.7 (-9.00)#2,374
46. 58782 30.7 36.3 (-5.60)#46 39.7 (-9.00)#2,386
47. 58455 31.0 36.3 (-5.30)#47 39.7 (-8.70)#2,516
48. 58801 31.2 36.3 (-5.10)#48 39.7 (-8.50)#2,564
49. 58549 31.5 36.3 (-4.80)#49 39.7 (-8.20)#2,724
50. 58794 31.5 36.3 (-4.80)#50 39.7 (-8.20)#2,727
51. 58847 31.6 36.3 (-4.70)#51 39.7 (-8.10)#2,773
52. 58078 32.1 36.3 (-4.20)#52 39.7 (-7.60)#3,008
53. 58422 32.2 36.3 (-4.10)#53 39.7 (-7.50)#3,095
54. 58059 32.4 36.3 (-3.90)#54 39.7 (-7.30)#3,195
55. 58456 32.5 36.3 (-3.80)#55 39.7 (-7.20)#3,271
56. 58568 32.5 36.3 (-3.80)#56 39.7 (-7.20)#3,274
57. 58464 32.7 36.3 (-3.60)#57 39.7 (-7.00)#3,393
58. 58570 32.8 36.3 (-3.50)#58 39.7 (-6.90)#3,454
59. 58461 32.8 36.3 (-3.50)#59 39.7 (-6.90)#3,456
60. 58058 32.8 36.3 (-3.50)#60 39.7 (-6.90)#3,469
61. 58763 32.9 36.3 (-3.40)#61 39.7 (-6.80)#3,514
62. 58381 32.9 36.3 (-3.40)#62 39.7 (-6.80)#3,544
63. 58067 33.4 36.3 (-2.90)#63 39.7 (-6.30)#3,859
64. 58843 33.6 36.3 (-2.70)#64 39.7 (-6.10)#4,009
65. 58750 33.7 36.3 (-2.60)#65 39.7 (-6.00)#4,099
66. 58103 33.8 36.3 (-2.50)#66 39.7 (-5.90)#4,106
67. 58344 33.8 36.3 (-2.50)#67 39.7 (-5.90)#4,154
68. 58064 33.8 36.3 (-2.50)#68 39.7 (-5.90)#4,165
69. 58201 33.9 36.3 (-2.40)#69 39.7 (-5.80)#4,191
70. 58317 33.9 36.3 (-2.40)#70 39.7 (-5.80)#4,268
71. 58771 34.0 36.3 (-2.30)#71 39.7 (-5.70)#4,333
72. 58104 34.2 36.3 (-2.10)#72 39.7 (-5.50)#4,434
73. 58711 34.2 36.3 (-2.10)#73 39.7 (-5.50)#4,488
74. 58770 34.3 36.3 (-2.00)#74 39.7 (-5.40)#4,547
75. 58722 34.5 36.3 (-1.80)#75 39.7 (-5.20)#4,686
76. 58001 34.5 36.3 (-1.80)#76 39.7 (-5.20)#4,706
77. 58703 34.6 36.3 (-1.70)#77 39.7 (-5.10)#4,742
78. 58415 34.6 36.3 (-1.70)#78 39.7 (-5.10)#4,812
79. 58778 34.7 36.3 (-1.60)#79 39.7 (-5.00)#4,898
80. 58601 34.8 36.3 (-1.50)#80 39.7 (-4.90)#4,927
81. 58311 34.8 36.3 (-1.50)#81 39.7 (-4.90)#4,981
82. 58634 35.2 36.3 (-1.10)#82 39.7 (-4.50)#5,342
83. 58046 35.3 36.3 (-1.000)#83 39.7 (-4.40)#5,427
84. 58580 35.4 36.3 (-0.900)#84 39.7 (-4.30)#5,531
85. 58740 35.5 36.3 (-0.800)#85 39.7 (-4.20)#5,643
86. 58487 35.5 36.3 (-0.800)#86 39.7 (-4.20)#5,649
87. 58494 35.5 36.3 (-0.800)#87 39.7 (-4.20)#5,656
88. 58484 35.5 36.3 (-0.800)#88 39.7 (-4.20)#5,671
89. 58012 35.6 36.3 (-0.700)#89 39.7 (-4.10)#5,725
90. 58622 35.6 36.3 (-0.700)#90 39.7 (-4.10)#5,733
91. 58231 35.6 36.3 (-0.700)#91 39.7 (-4.10)#5,763
92. 58784 35.7 36.3 (-0.600)#92 39.7 (-4.00)#5,846
93. 58647 35.9 36.3 (-0.400)#93 39.7 (-3.80)#6,079
94. 58051 36.0 36.3 (-0.300)#94 39.7 (-3.70)#6,181
95. 58701 36.1 36.3 (-0.200)#95 39.7 (-3.60)#6,229
96. 58504 36.2 36.3 (-0.100)#96 39.7 (-3.50)#6,335
97. 58042 36.4 36.3 (+0.100)#97 39.7 (-3.30)#6,609
98. 58831 36.5 36.3 (+0.200)#98 39.7 (-3.20)#6,718
99. 58004 36.5 36.3 (+0.200)#99 39.7 (-3.20)#6,739
100. 58566 36.5 36.3 (+0.200)#100 39.7 (-3.20)#6,744

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in North Dakota?
Top 10 Zip Codes with the Youngest Female Population in North Dakota are:
#1
7.9
#2
10.3
#3
14.7
#4
16.0
#5
16.9
#6
19.2
#7
19.3
#8
19.4
#9
19.4
#10
19.6
What zip code has the Youngest Female Population in North Dakota?
58776 has the Youngest Female Population in North Dakota with 7.9.
What is the Median Female Age in the State of North Dakota?
Median Female Age in North Dakota is 36.3.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.7.