Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota

RELATED REPORTS & OPTIONS

Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in North Dakota

80.0
0.0
Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota

Zip Code Births / 1,000 Women vs State vs National
1. 58436 6.0 59.0 (-53.0)#1 48.0 (-42.0)#296
2. 58005 7.0 59.0 (-52.0)#2 48.0 (-41.0)#401
3. 58571 8.0 59.0 (-51.0)#3 48.0 (-40.0)#543
4. 58249 9.0 59.0 (-50.0)#4 48.0 (-39.0)#632
5. 58218 9.0 59.0 (-50.0)#5 48.0 (-39.0)#665
6. 58054 10.0 59.0 (-49.0)#6 48.0 (-38.0)#773
7. 58053 11.0 59.0 (-48.0)#7 48.0 (-37.0)#968
8. 58707 11.0 59.0 (-48.0)#8 48.0 (-37.0)#991
9. 58072 12.0 59.0 (-47.0)#9 48.0 (-36.0)#1,053
10. 58369 12.0 59.0 (-47.0)#10 48.0 (-36.0)#1,142
11. 58048 12.0 59.0 (-47.0)#11 48.0 (-36.0)#1,157
12. 58257 13.0 59.0 (-46.0)#12 48.0 (-35.0)#1,303
13. 58843 13.0 59.0 (-46.0)#13 48.0 (-35.0)#1,328
14. 58441 15.0 59.0 (-44.0)#14 48.0 (-33.0)#1,726
15. 58622 17.0 59.0 (-42.0)#15 48.0 (-31.0)#2,068
16. 58495 17.0 59.0 (-42.0)#16 48.0 (-31.0)#2,089
17. 58368 18.0 59.0 (-41.0)#17 48.0 (-30.0)#2,244
18. 58330 18.0 59.0 (-41.0)#18 48.0 (-30.0)#2,316
19. 58773 19.0 59.0 (-40.0)#19 48.0 (-29.0)#2,519
20. 58456 19.0 59.0 (-40.0)#20 48.0 (-29.0)#2,526
21. 58721 19.0 59.0 (-40.0)#21 48.0 (-29.0)#2,533
22. 58801 20.0 59.0 (-39.0)#22 48.0 (-28.0)#2,563
23. 58521 20.0 59.0 (-39.0)#23 48.0 (-28.0)#2,784
24. 58316 21.0 59.0 (-38.0)#24 48.0 (-27.0)#2,942
25. 58265 21.0 59.0 (-38.0)#25 48.0 (-27.0)#3,048
26. 58760 21.0 59.0 (-38.0)#26 48.0 (-27.0)#3,058
27. 58558 22.0 59.0 (-37.0)#27 48.0 (-26.0)#3,284
28. 58381 24.0 59.0 (-35.0)#28 48.0 (-24.0)#3,857
29. 58032 25.0 59.0 (-34.0)#29 48.0 (-23.0)#4,122
30. 58415 25.0 59.0 (-34.0)#30 48.0 (-23.0)#4,140
31. 58060 26.0 59.0 (-33.0)#31 48.0 (-22.0)#4,404
32. 58077 26.0 59.0 (-33.0)#32 48.0 (-22.0)#4,419
33. 58203 27.0 59.0 (-32.0)#33 48.0 (-21.0)#4,549
34. 58071 27.0 59.0 (-32.0)#34 48.0 (-21.0)#4,727
35. 58052 28.0 59.0 (-31.0)#35 48.0 (-20.0)#5,016
36. 58466 28.0 59.0 (-31.0)#36 48.0 (-20.0)#5,019
37. 58438 29.0 59.0 (-30.0)#37 48.0 (-19.0)#5,295
38. 58494 30.0 59.0 (-29.0)#38 48.0 (-18.0)#5,596
39. 58568 31.0 59.0 (-28.0)#39 48.0 (-17.0)#5,892
40. 58779 31.0 59.0 (-28.0)#40 48.0 (-17.0)#5,897
41. 58545 33.0 59.0 (-26.0)#41 48.0 (-15.0)#6,472
42. 58278 33.0 59.0 (-26.0)#42 48.0 (-15.0)#6,500
43. 58497 33.0 59.0 (-26.0)#43 48.0 (-15.0)#6,559
44. 58703 34.0 59.0 (-25.0)#44 48.0 (-14.0)#6,663
45. 58770 34.0 59.0 (-25.0)#45 48.0 (-14.0)#6,818
46. 58761 34.0 59.0 (-25.0)#46 48.0 (-14.0)#6,847
47. 58750 34.0 59.0 (-25.0)#47 48.0 (-14.0)#6,862
48. 58042 35.0 59.0 (-24.0)#48 48.0 (-13.0)#7,141
49. 58282 35.0 59.0 (-24.0)#49 48.0 (-13.0)#7,144
50. 58433 35.0 59.0 (-24.0)#50 48.0 (-13.0)#7,145
51. 58530 36.0 59.0 (-23.0)#51 48.0 (-12.0)#7,438
52. 58040 36.0 59.0 (-23.0)#52 48.0 (-12.0)#7,439
53. 58220 38.0 59.0 (-21.0)#53 48.0 (-10.00)#8,078
54. 58031 38.0 59.0 (-21.0)#54 48.0 (-10.00)#8,135
55. 58762 38.0 59.0 (-21.0)#55 48.0 (-10.00)#8,143
56. 58835 39.0 59.0 (-20.0)#56 48.0 (-9.00)#8,446
57. 58401 40.0 59.0 (-19.0)#57 48.0 (-8.00)#8,616
58. 58623 40.0 59.0 (-19.0)#58 48.0 (-8.00)#8,753
59. 58722 40.0 59.0 (-19.0)#59 48.0 (-8.00)#8,764
60. 58573 40.0 59.0 (-19.0)#60 48.0 (-8.00)#8,786
61. 58266 40.0 59.0 (-19.0)#61 48.0 (-8.00)#8,805
62. 58711 42.0 59.0 (-17.0)#62 48.0 (-6.00)#9,484
63. 58563 43.0 59.0 (-16.0)#63 48.0 (-5.00)#9,767
64. 58781 43.0 59.0 (-16.0)#64 48.0 (-5.00)#9,805
65. 58501 44.0 59.0 (-15.0)#65 48.0 (-4.00)#9,910
66. 58033 46.0 59.0 (-13.0)#66 48.0 (-2.00)#10,750
67. 58652 47.0 59.0 (-12.0)#67 48.0 (-1.000)#11,035
68. 58482 47.0 59.0 (-12.0)#68 48.0 (-1.000)#11,038
69. 58757 48.0 59.0 (-11.0)#69 48.0 (=0.000)#11,320
70. 58733 48.0 59.0 (-11.0)#70 48.0 (=0.000)#11,354
71. 58270 49.0 59.0 (-10.00)#71 48.0 (+1.000)#11,615
72. 58103 51.0 59.0 (-8.00)#72 48.0 (+3.00)#11,975
73. 58701 52.0 59.0 (-7.00)#73 48.0 (+4.00)#12,292
74. 58601 52.0 59.0 (-7.00)#74 48.0 (+4.00)#12,311
75. 58467 52.0 59.0 (-7.00)#75 48.0 (+4.00)#12,522
76. 58102 53.0 59.0 (-6.00)#76 48.0 (+5.00)#12,603
77. 58016 55.0 59.0 (-4.00)#77 48.0 (+7.00)#13,375
78. 58625 56.0 59.0 (-3.00)#78 48.0 (+8.00)#13,638
79. 58718 58.0 59.0 (-1.000)#79 48.0 (+10.00)#14,098
80. 58104 60.0 59.0 (+1.000)#80 48.0 (+12.0)#14,383
81. 58554 60.0 59.0 (+1.000)#81 48.0 (+12.0)#14,419
82. 58854 60.0 59.0 (+1.000)#82 48.0 (+12.0)#14,485
83. 58367 60.0 59.0 (+1.000)#83 48.0 (+12.0)#14,546
84. 58476 61.0 59.0 (+2.00)#84 48.0 (+13.0)#14,765
85. 58301 63.0 59.0 (+4.00)#85 48.0 (+15.0)#15,123
86. 58730 64.0 59.0 (+5.00)#86 48.0 (+16.0)#15,425
87. 58275 64.0 59.0 (+5.00)#87 48.0 (+16.0)#15,434
88. 58458 68.0 59.0 (+9.00)#88 48.0 (+20.0)#16,214
89. 58636 69.0 59.0 (+10.00)#89 48.0 (+21.0)#16,419
90. 58228 69.0 59.0 (+10.00)#90 48.0 (+21.0)#16,425
91. 58276 69.0 59.0 (+10.00)#91 48.0 (+21.0)#16,431
92. 58201 70.0 59.0 (+11.0)#92 48.0 (+22.0)#16,455
93. 58474 70.0 59.0 (+11.0)#93 48.0 (+22.0)#16,558
94. 58740 70.0 59.0 (+11.0)#94 48.0 (+22.0)#16,594
95. 58759 70.0 59.0 (+11.0)#95 48.0 (+22.0)#16,596
96. 58504 71.0 59.0 (+12.0)#96 48.0 (+23.0)#16,636
97. 58790 71.0 59.0 (+12.0)#97 48.0 (+23.0)#16,741
98. 58366 71.0 59.0 (+12.0)#98 48.0 (+23.0)#16,753
99. 58212 71.0 59.0 (+12.0)#99 48.0 (+23.0)#16,762
100. 58059 72.0 59.0 (+13.0)#100 48.0 (+24.0)#16,923

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota are:
#1
6.0
#2
7.0
#3
8.0
#4
9.0
#5
9.0
#6
10.0
#7
11.0
#8
11.0
#9
12.0
#10
12.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in North Dakota?
58436 has the Lowest Births per 1,000 Women in Labor Force in North Dakota with 6.0.
What is the Number Births per 1,000 Women in Labor Force in the State of North Dakota?
Number Births per 1,000 Women in Labor Force in North Dakota is 59.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.