Zip Codes with the Fewest Births per 1,000 Women in North Dakota

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Lowest Birth Rate | All Women
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 Fewest Births per 1,000 Women in North Dakota

80.0
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Zip Codes with the Fewest Births per 1,000 Women in North Dakota Map

Zip Codes with the Fewest Births per 1,000 Women in North Dakota

Zip Code Births / 1,000 Women vs State vs National
1. 58436 5.0 65.0 (-60.0)#1 52.0 (-47.0)#211
2. 58225 5.0 65.0 (-60.0)#2 52.0 (-47.0)#223
3. 58571 6.0 65.0 (-59.0)#3 52.0 (-46.0)#300
4. 58707 6.0 65.0 (-59.0)#4 52.0 (-46.0)#309
5. 58218 7.0 65.0 (-58.0)#5 52.0 (-45.0)#385
6. 58054 8.0 65.0 (-57.0)#6 52.0 (-44.0)#444
7. 58053 8.0 65.0 (-57.0)#7 52.0 (-44.0)#470
8. 58750 8.0 65.0 (-57.0)#8 52.0 (-44.0)#500
9. 58369 9.0 65.0 (-56.0)#9 52.0 (-43.0)#603
10. 58048 9.0 65.0 (-56.0)#10 52.0 (-43.0)#630
11. 58072 10.0 65.0 (-55.0)#11 52.0 (-42.0)#661
12. 58257 10.0 65.0 (-55.0)#12 52.0 (-42.0)#703
13. 58626 11.0 65.0 (-54.0)#13 52.0 (-41.0)#890
14. 58495 13.0 65.0 (-52.0)#14 52.0 (-39.0)#1,169
15. 58773 14.0 65.0 (-51.0)#15 52.0 (-38.0)#1,341
16. 58021 14.0 65.0 (-51.0)#16 52.0 (-38.0)#1,353
17. 58352 14.0 65.0 (-51.0)#17 52.0 (-38.0)#1,356
18. 58441 14.0 65.0 (-51.0)#18 52.0 (-38.0)#1,361
19. 58528 15.0 65.0 (-50.0)#19 52.0 (-37.0)#1,546
20. 58760 15.0 65.0 (-50.0)#20 52.0 (-37.0)#1,564
21. 58005 16.0 65.0 (-49.0)#21 52.0 (-36.0)#1,722
22. 58721 16.0 65.0 (-49.0)#22 52.0 (-36.0)#1,743
23. 58521 18.0 65.0 (-47.0)#23 52.0 (-34.0)#2,077
24. 58060 20.0 65.0 (-45.0)#24 52.0 (-32.0)#2,507
25. 58032 20.0 65.0 (-45.0)#25 52.0 (-32.0)#2,527
26. 58381 20.0 65.0 (-45.0)#26 52.0 (-32.0)#2,541
27. 58415 20.0 65.0 (-45.0)#27 52.0 (-32.0)#2,552
28. 58761 21.0 65.0 (-44.0)#28 52.0 (-31.0)#2,768
29. 58568 22.0 65.0 (-43.0)#29 52.0 (-30.0)#3,020
30. 58711 22.0 65.0 (-43.0)#30 52.0 (-30.0)#3,035
31. 58497 22.0 65.0 (-43.0)#31 52.0 (-30.0)#3,036
32. 58573 23.0 65.0 (-42.0)#32 52.0 (-29.0)#3,275
33. 58529 23.0 65.0 (-42.0)#33 52.0 (-29.0)#3,278
34. 58494 24.0 65.0 (-41.0)#34 52.0 (-28.0)#3,540
35. 58438 25.0 65.0 (-40.0)#35 52.0 (-27.0)#3,803
36. 58052 25.0 65.0 (-40.0)#36 52.0 (-27.0)#3,811
37. 58466 25.0 65.0 (-40.0)#37 52.0 (-27.0)#3,822
38. 58535 25.0 65.0 (-40.0)#38 52.0 (-27.0)#3,823
39. 58031 25.0 65.0 (-40.0)#39 52.0 (-27.0)#3,825
40. 58545 26.0 65.0 (-39.0)#40 52.0 (-26.0)#3,987
41. 58640 27.0 65.0 (-38.0)#41 52.0 (-25.0)#4,315
42. 58278 28.0 65.0 (-37.0)#42 52.0 (-24.0)#4,559
43. 58235 28.0 65.0 (-37.0)#43 52.0 (-24.0)#4,601
44. 58779 28.0 65.0 (-37.0)#44 52.0 (-24.0)#4,611
45. 58725 29.0 65.0 (-36.0)#45 52.0 (-23.0)#4,898
46. 58622 31.0 65.0 (-34.0)#46 52.0 (-21.0)#5,441
47. 58040 31.0 65.0 (-34.0)#47 52.0 (-21.0)#5,474
48. 58843 31.0 65.0 (-34.0)#48 52.0 (-21.0)#5,475
49. 58203 32.0 65.0 (-33.0)#49 52.0 (-20.0)#5,613
50. 58530 33.0 65.0 (-32.0)#50 52.0 (-19.0)#6,103
51. 58781 33.0 65.0 (-32.0)#51 52.0 (-19.0)#6,124
52. 58282 34.0 65.0 (-31.0)#52 52.0 (-18.0)#6,422
53. 58401 35.0 65.0 (-30.0)#53 52.0 (-17.0)#6,583
54. 58722 35.0 65.0 (-30.0)#54 52.0 (-17.0)#6,723
55. 58467 35.0 65.0 (-30.0)#55 52.0 (-17.0)#6,756
56. 58330 35.0 65.0 (-30.0)#56 52.0 (-17.0)#6,758
57. 58368 36.0 65.0 (-29.0)#57 52.0 (-16.0)#7,024
58. 58762 36.0 65.0 (-29.0)#58 52.0 (-16.0)#7,106
59. 58482 37.0 65.0 (-28.0)#59 52.0 (-15.0)#7,419
60. 58077 37.0 65.0 (-28.0)#60 52.0 (-15.0)#7,425
61. 58652 38.0 65.0 (-27.0)#61 52.0 (-14.0)#7,763
62. 58835 39.0 65.0 (-26.0)#62 52.0 (-13.0)#8,138
63. 58249 40.0 65.0 (-25.0)#63 52.0 (-12.0)#8,444
64. 58625 40.0 65.0 (-25.0)#64 52.0 (-12.0)#8,511
65. 58266 40.0 65.0 (-25.0)#65 52.0 (-12.0)#8,512
66. 58653 41.0 65.0 (-24.0)#66 52.0 (-11.0)#8,843
67. 58033 41.0 65.0 (-24.0)#67 52.0 (-11.0)#8,849
68. 58801 43.0 65.0 (-22.0)#68 52.0 (-9.00)#9,281
69. 58220 43.0 65.0 (-22.0)#69 52.0 (-9.00)#9,477
70. 58632 43.0 65.0 (-22.0)#70 52.0 (-9.00)#9,538
71. 58733 43.0 65.0 (-22.0)#71 52.0 (-9.00)#9,539
72. 58623 44.0 65.0 (-21.0)#72 52.0 (-8.00)#9,880
73. 58265 44.0 65.0 (-21.0)#73 52.0 (-8.00)#9,937
74. 58243 44.0 65.0 (-21.0)#74 52.0 (-8.00)#9,938
75. 58703 45.0 65.0 (-20.0)#75 52.0 (-7.00)#10,062
76. 58270 45.0 65.0 (-20.0)#76 52.0 (-7.00)#10,232
77. 58752 45.0 65.0 (-20.0)#77 52.0 (-7.00)#10,283
78. 58301 48.0 65.0 (-17.0)#78 52.0 (-4.00)#11,200
79. 58579 49.0 65.0 (-16.0)#79 52.0 (-3.00)#11,667
80. 58102 51.0 65.0 (-14.0)#80 52.0 (-1.000)#12,115
81. 58701 52.0 65.0 (-13.0)#81 52.0 (=0.000)#12,463
82. 58016 53.0 65.0 (-12.0)#82 52.0 (+1.000)#13,046
83. 58476 54.0 65.0 (-11.0)#83 52.0 (+2.00)#13,355
84. 58563 55.0 65.0 (-10.00)#84 52.0 (+3.00)#13,611
85. 58370 55.0 65.0 (-10.00)#85 52.0 (+3.00)#13,635
86. 58730 56.0 65.0 (-9.00)#86 52.0 (+4.00)#13,925
87. 58575 57.0 65.0 (-8.00)#87 52.0 (+5.00)#14,268
88. 58771 57.0 65.0 (-8.00)#88 52.0 (+5.00)#14,281
89. 58474 58.0 65.0 (-7.00)#89 52.0 (+6.00)#14,532
90. 58275 58.0 65.0 (-7.00)#90 52.0 (+6.00)#14,583
91. 58316 59.0 65.0 (-6.00)#91 52.0 (+7.00)#14,782
92. 58385 59.0 65.0 (-6.00)#92 52.0 (+7.00)#14,889
93. 58103 60.0 65.0 (-5.00)#93 52.0 (+8.00)#14,913
94. 58540 60.0 65.0 (-5.00)#94 52.0 (+8.00)#15,126
95. 58770 60.0 65.0 (-5.00)#95 52.0 (+8.00)#15,160
96. 58718 60.0 65.0 (-5.00)#96 52.0 (+8.00)#15,169
97. 58327 60.0 65.0 (-5.00)#97 52.0 (+8.00)#15,192
98. 58104 61.0 65.0 (-4.00)#98 52.0 (+9.00)#15,221
99. 58258 63.0 65.0 (-2.00)#99 52.0 (+11.0)#16,019
100. 58038 63.0 65.0 (-2.00)#100 52.0 (+11.0)#16,022

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in North Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in North Dakota are:
#1
5.0
#2
5.0
#3
6.0
#4
6.0
#5
7.0
#6
8.0
#7
8.0
#8
8.0
#9
9.0
#10
9.0
What zip code has the Fewest Births per 1,000 Women in North Dakota?
58436 has the Fewest Births per 1,000 Women in North Dakota with 5.0.
What is the Number of Births per 1,000 Women in the State of North Dakota?
Number of Births per 1,000 Women in North Dakota is 65.0.
What is the Number of Births per 1,000 Women in the United States?
Number of Births per 1,000 Women in the United States is 52.0.