Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota

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Lowest Birth Rate | Women 35+
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 Over the Age of 35 in North Dakota

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Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota

Zip Code Births / 1,000 Women vs State vs National
1. 58072 8.0 32.0 (-24.0)#1 32.0 (-24.0)#1,184
2. 58801 12.0 32.0 (-20.0)#2 32.0 (-20.0)#2,148
3. 58601 12.0 32.0 (-20.0)#3 32.0 (-20.0)#2,169
4. 58554 12.0 32.0 (-20.0)#4 32.0 (-20.0)#2,173
5. 58622 12.0 32.0 (-20.0)#5 32.0 (-20.0)#2,384
6. 58558 12.0 32.0 (-20.0)#6 32.0 (-20.0)#2,393
7. 58710 12.0 32.0 (-20.0)#7 32.0 (-20.0)#2,398
8. 58746 13.0 32.0 (-19.0)#8 32.0 (-19.0)#2,674
9. 58718 13.0 32.0 (-19.0)#9 32.0 (-19.0)#2,682
10. 58218 13.0 32.0 (-19.0)#10 32.0 (-19.0)#2,695
11. 58104 14.0 32.0 (-18.0)#11 32.0 (-18.0)#2,712
12. 58401 14.0 32.0 (-18.0)#12 32.0 (-18.0)#2,812
13. 58257 14.0 32.0 (-18.0)#13 32.0 (-18.0)#2,967
14. 58701 15.0 32.0 (-17.0)#14 32.0 (-17.0)#3,061
15. 58369 17.0 32.0 (-15.0)#15 32.0 (-15.0)#3,896
16. 58352 17.0 32.0 (-15.0)#16 32.0 (-15.0)#3,900
17. 58249 18.0 32.0 (-14.0)#17 32.0 (-14.0)#4,171
18. 58563 19.0 32.0 (-13.0)#18 32.0 (-13.0)#4,481
19. 58267 19.0 32.0 (-13.0)#19 32.0 (-13.0)#4,492
20. 58639 21.0 32.0 (-11.0)#20 32.0 (-11.0)#5,129
21. 58474 22.0 32.0 (-10.00)#21 32.0 (-10.00)#5,408
22. 58504 23.0 32.0 (-9.00)#22 32.0 (-9.00)#5,522
23. 58077 23.0 32.0 (-9.00)#23 32.0 (-9.00)#5,726
24. 58237 24.0 32.0 (-8.00)#24 32.0 (-8.00)#5,962
25. 58367 26.0 32.0 (-6.00)#25 32.0 (-6.00)#6,666
26. 58495 26.0 32.0 (-6.00)#26 32.0 (-6.00)#6,673
27. 58103 27.0 32.0 (-5.00)#27 32.0 (-5.00)#6,720
28. 58201 27.0 32.0 (-5.00)#28 32.0 (-5.00)#6,739
29. 58721 28.0 32.0 (-4.00)#29 32.0 (-4.00)#7,277
30. 58203 29.0 32.0 (-3.00)#30 32.0 (-3.00)#7,449
31. 58228 29.0 32.0 (-3.00)#31 32.0 (-3.00)#7,566
32. 58075 30.0 32.0 (-2.00)#32 32.0 (-2.00)#7,762
33. 58102 31.0 32.0 (-1.000)#33 32.0 (-1.000)#7,932
34. 58632 32.0 32.0 (=0.000)#34 32.0 (=0.000)#8,415
35. 58271 33.0 32.0 (+1.000)#35 32.0 (+1.000)#8,700
36. 58704 36.0 32.0 (+4.00)#36 32.0 (+4.00)#9,430
37. 58656 36.0 32.0 (+4.00)#37 32.0 (+4.00)#9,477
38. 58533 38.0 32.0 (+6.00)#38 32.0 (+6.00)#9,934
39. 58270 40.0 32.0 (+8.00)#39 32.0 (+8.00)#10,321
40. 58051 41.0 32.0 (+9.00)#40 32.0 (+9.00)#10,547
41. 58494 41.0 32.0 (+9.00)#41 32.0 (+9.00)#10,571
42. 58523 42.0 32.0 (+10.00)#42 32.0 (+10.00)#10,742
43. 58275 42.0 32.0 (+10.00)#43 32.0 (+10.00)#10,770
44. 58763 43.0 32.0 (+11.0)#44 32.0 (+11.0)#10,936
45. 58521 44.0 32.0 (+12.0)#45 32.0 (+12.0)#11,174
46. 58047 49.0 32.0 (+17.0)#46 32.0 (+17.0)#11,980
47. 58341 49.0 32.0 (+17.0)#47 32.0 (+17.0)#11,997
48. 58030 50.0 32.0 (+18.0)#48 32.0 (+18.0)#12,178
49. 58356 51.0 32.0 (+19.0)#49 32.0 (+19.0)#12,302
50. 58031 51.0 32.0 (+19.0)#50 32.0 (+19.0)#12,319
51. 58703 52.0 32.0 (+20.0)#51 32.0 (+20.0)#12,368
52. 58204 52.0 32.0 (+20.0)#52 32.0 (+20.0)#12,430
53. 58503 53.0 32.0 (+21.0)#53 32.0 (+21.0)#12,460
54. 58552 53.0 32.0 (+21.0)#54 32.0 (+21.0)#12,559
55. 58265 54.0 32.0 (+22.0)#55 32.0 (+22.0)#12,688
56. 58059 56.0 32.0 (+24.0)#56 32.0 (+24.0)#12,922
57. 58071 56.0 32.0 (+24.0)#57 32.0 (+24.0)#12,940
58. 58230 59.0 32.0 (+27.0)#58 32.0 (+27.0)#13,272
59. 58001 63.0 32.0 (+31.0)#59 32.0 (+31.0)#13,662
60. 58575 66.0 32.0 (+34.0)#60 32.0 (+34.0)#13,913
61. 58081 66.0 32.0 (+34.0)#61 32.0 (+34.0)#13,914
62. 58235 66.0 32.0 (+34.0)#62 32.0 (+34.0)#13,916
63. 58623 67.0 32.0 (+35.0)#63 32.0 (+35.0)#13,993
64. 58078 68.0 32.0 (+36.0)#64 32.0 (+36.0)#14,020
65. 58854 68.0 32.0 (+36.0)#65 32.0 (+36.0)#14,048
66. 58501 73.0 32.0 (+41.0)#66 32.0 (+41.0)#14,359
67. 58261 73.0 32.0 (+41.0)#67 32.0 (+41.0)#14,415
68. 58463 75.0 32.0 (+43.0)#68 32.0 (+43.0)#14,547
69. 58243 82.0 32.0 (+50.0)#69 32.0 (+50.0)#14,884
70. 58433 83.0 32.0 (+51.0)#70 32.0 (+51.0)#14,918
71. 58733 83.0 32.0 (+51.0)#71 32.0 (+51.0)#14,925
72. 58631 86.0 32.0 (+54.0)#72 32.0 (+54.0)#15,038
73. 58487 87.0 32.0 (+55.0)#73 32.0 (+55.0)#15,072
74. 58538 92.0 32.0 (+60.0)#74 32.0 (+60.0)#15,247
75. 58042 93.0 32.0 (+61.0)#75 32.0 (+61.0)#15,269
76. 58318 96.0 32.0 (+64.0)#76 32.0 (+64.0)#15,345
77. 58735 97.0 32.0 (+65.0)#77 32.0 (+65.0)#15,390
78. 58497 100.0 32.0 (+68.0)#78 32.0 (+68.0)#15,478
79. 58561 108.0 32.0 (+76.0)#79 32.0 (+76.0)#15,652
80. 58256 108.0 32.0 (+76.0)#80 32.0 (+76.0)#15,654
81. 58385 111.0 32.0 (+79.0)#81 32.0 (+79.0)#15,706
82. 58329 113.0 32.0 (+81.0)#82 32.0 (+81.0)#15,726
83. 58785 114.0 32.0 (+82.0)#83 32.0 (+82.0)#15,752
84. 58330 118.0 32.0 (+86.0)#84 32.0 (+86.0)#15,813
85. 58425 124.0 32.0 (+92.0)#85 32.0 (+92.0)#15,899
86. 58038 125.0 32.0 (+93.0)#86 32.0 (+93.0)#15,917
87. 58849 129.0 32.0 (+97.0)#87 32.0 (+97.0)#15,976
88. 58655 141.0 32.0 (+109)#88 32.0 (+109)#16,117
89. 58012 145.0 32.0 (+113)#89 32.0 (+113)#16,150
90. 58472 148.0 32.0 (+116)#90 32.0 (+116)#16,186
91. 58646 149.0 32.0 (+117)#91 32.0 (+117)#16,189
92. 58346 151.0 32.0 (+119)#92 32.0 (+119)#16,201
93. 58274 156.0 32.0 (+124)#93 32.0 (+124)#16,250
94. 58757 157.0 32.0 (+125)#94 32.0 (+125)#16,263
95. 58784 158.0 32.0 (+126)#95 32.0 (+126)#16,271
96. 58741 167.0 32.0 (+135)#96 32.0 (+135)#16,334
97. 58636 181.0 32.0 (+149)#97 32.0 (+149)#16,440
98. 58379 185.0 32.0 (+153)#98 32.0 (+153)#16,458
99. 58845 200.0 32.0 (+168)#99 32.0 (+168)#16,525
100. 58838 207.0 32.0 (+175)#100 32.0 (+175)#16,562

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota are:
#1
8.0
#2
12.0
#3
12.0
#4
12.0
#5
12.0
#6
12.0
#7
12.0
#8
13.0
#9
13.0
#10
13.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota?
58072 has the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota with 8.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of North Dakota?
Number of Births per 1,000 Women Over the Age of 35 in North Dakota is 32.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.