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

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Lowest Birth Rate | Below Poverty
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 Below Poverty Level in North Dakota

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 58225 5.0 68.0 (-63.0)#1 53.0 (-48.0)#195
2. 58436 6.0 68.0 (-62.0)#2 53.0 (-47.0)#256
3. 58571 6.0 68.0 (-62.0)#3 53.0 (-47.0)#270
4. 58218 7.0 68.0 (-61.0)#4 53.0 (-46.0)#347
5. 58054 8.0 68.0 (-60.0)#5 53.0 (-45.0)#398
6. 58053 8.0 68.0 (-60.0)#6 53.0 (-45.0)#422
7. 58750 8.0 68.0 (-60.0)#7 53.0 (-45.0)#451
8. 58369 9.0 68.0 (-59.0)#8 53.0 (-44.0)#553
9. 58048 9.0 68.0 (-59.0)#9 53.0 (-44.0)#580
10. 58072 11.0 68.0 (-57.0)#10 53.0 (-42.0)#733
11. 58626 11.0 68.0 (-57.0)#11 53.0 (-42.0)#823
12. 58257 12.0 68.0 (-56.0)#12 53.0 (-41.0)#920
13. 58495 13.0 68.0 (-55.0)#13 53.0 (-40.0)#1,093
14. 58773 14.0 68.0 (-54.0)#14 53.0 (-39.0)#1,257
15. 58021 14.0 68.0 (-54.0)#15 53.0 (-39.0)#1,269
16. 58352 14.0 68.0 (-54.0)#16 53.0 (-39.0)#1,272
17. 58441 14.0 68.0 (-54.0)#17 53.0 (-39.0)#1,277
18. 58528 15.0 68.0 (-53.0)#18 53.0 (-38.0)#1,455
19. 58760 15.0 68.0 (-53.0)#19 53.0 (-38.0)#1,472
20. 58005 16.0 68.0 (-52.0)#20 53.0 (-37.0)#1,622
21. 58721 16.0 68.0 (-52.0)#21 53.0 (-37.0)#1,642
22. 58521 18.0 68.0 (-50.0)#22 53.0 (-35.0)#1,981
23. 58060 20.0 68.0 (-48.0)#23 53.0 (-33.0)#2,377
24. 58032 20.0 68.0 (-48.0)#24 53.0 (-33.0)#2,397
25. 58381 20.0 68.0 (-48.0)#25 53.0 (-33.0)#2,411
26. 58415 20.0 68.0 (-48.0)#26 53.0 (-33.0)#2,422
27. 58761 21.0 68.0 (-47.0)#27 53.0 (-32.0)#2,631
28. 58568 22.0 68.0 (-46.0)#28 53.0 (-31.0)#2,882
29. 58711 22.0 68.0 (-46.0)#29 53.0 (-31.0)#2,897
30. 58497 22.0 68.0 (-46.0)#30 53.0 (-31.0)#2,898
31. 58573 23.0 68.0 (-45.0)#31 53.0 (-30.0)#3,118
32. 58529 23.0 68.0 (-45.0)#32 53.0 (-30.0)#3,120
33. 58494 24.0 68.0 (-44.0)#33 53.0 (-29.0)#3,384
34. 58438 25.0 68.0 (-43.0)#34 53.0 (-28.0)#3,644
35. 58052 25.0 68.0 (-43.0)#35 53.0 (-28.0)#3,652
36. 58466 25.0 68.0 (-43.0)#36 53.0 (-28.0)#3,662
37. 58535 25.0 68.0 (-43.0)#37 53.0 (-28.0)#3,663
38. 58031 25.0 68.0 (-43.0)#38 53.0 (-28.0)#3,665
39. 58545 26.0 68.0 (-42.0)#39 53.0 (-27.0)#3,817
40. 58640 27.0 68.0 (-41.0)#40 53.0 (-26.0)#4,139
41. 58278 28.0 68.0 (-40.0)#41 53.0 (-25.0)#4,380
42. 58235 28.0 68.0 (-40.0)#42 53.0 (-25.0)#4,422
43. 58779 28.0 68.0 (-40.0)#43 53.0 (-25.0)#4,432
44. 58725 29.0 68.0 (-39.0)#44 53.0 (-24.0)#4,707
45. 58622 31.0 68.0 (-37.0)#45 53.0 (-22.0)#5,252
46. 58040 31.0 68.0 (-37.0)#46 53.0 (-22.0)#5,285
47. 58843 31.0 68.0 (-37.0)#47 53.0 (-22.0)#5,286
48. 58530 33.0 68.0 (-35.0)#48 53.0 (-20.0)#5,879
49. 58781 33.0 68.0 (-35.0)#49 53.0 (-20.0)#5,900
50. 58282 34.0 68.0 (-34.0)#50 53.0 (-19.0)#6,194
51. 58401 35.0 68.0 (-33.0)#51 53.0 (-18.0)#6,355
52. 58203 35.0 68.0 (-33.0)#52 53.0 (-18.0)#6,364
53. 58722 35.0 68.0 (-33.0)#53 53.0 (-18.0)#6,495
54. 58467 35.0 68.0 (-33.0)#54 53.0 (-18.0)#6,527
55. 58330 35.0 68.0 (-33.0)#55 53.0 (-18.0)#6,529
56. 58368 36.0 68.0 (-32.0)#56 53.0 (-17.0)#6,811
57. 58762 36.0 68.0 (-32.0)#57 53.0 (-17.0)#6,900
58. 58482 37.0 68.0 (-31.0)#58 53.0 (-16.0)#7,190
59. 58077 37.0 68.0 (-31.0)#59 53.0 (-16.0)#7,196
60. 58652 38.0 68.0 (-30.0)#60 53.0 (-15.0)#7,527
61. 58835 39.0 68.0 (-29.0)#61 53.0 (-14.0)#7,898
62. 58625 40.0 68.0 (-28.0)#62 53.0 (-13.0)#8,268
63. 58266 40.0 68.0 (-28.0)#63 53.0 (-13.0)#8,269
64. 58249 41.0 68.0 (-27.0)#64 53.0 (-12.0)#8,532
65. 58653 41.0 68.0 (-27.0)#65 53.0 (-12.0)#8,589
66. 58033 41.0 68.0 (-27.0)#66 53.0 (-12.0)#8,594
67. 58801 43.0 68.0 (-25.0)#67 53.0 (-10.00)#9,026
68. 58632 43.0 68.0 (-25.0)#68 53.0 (-10.00)#9,300
69. 58733 43.0 68.0 (-25.0)#69 53.0 (-10.00)#9,301
70. 58220 44.0 68.0 (-24.0)#70 53.0 (-9.00)#9,643
71. 58623 44.0 68.0 (-24.0)#71 53.0 (-9.00)#9,648
72. 58265 44.0 68.0 (-24.0)#72 53.0 (-9.00)#9,705
73. 58243 44.0 68.0 (-24.0)#73 53.0 (-9.00)#9,706
74. 58270 45.0 68.0 (-23.0)#74 53.0 (-8.00)#9,997
75. 58752 45.0 68.0 (-23.0)#75 53.0 (-8.00)#10,046
76. 58703 46.0 68.0 (-22.0)#76 53.0 (-7.00)#10,197
77. 58579 49.0 68.0 (-19.0)#77 53.0 (-4.00)#11,428
78. 58301 50.0 68.0 (-18.0)#78 53.0 (-3.00)#11,651
79. 58701 53.0 68.0 (-15.0)#79 53.0 (=0.000)#12,540
80. 58016 53.0 68.0 (-15.0)#80 53.0 (=0.000)#12,803
81. 58102 54.0 68.0 (-14.0)#81 53.0 (+1.000)#12,890
82. 58476 54.0 68.0 (-14.0)#82 53.0 (+1.000)#13,108
83. 58563 55.0 68.0 (-13.0)#83 53.0 (+2.00)#13,372
84. 58370 55.0 68.0 (-13.0)#84 53.0 (+2.00)#13,395
85. 58730 56.0 68.0 (-12.0)#85 53.0 (+3.00)#13,684
86. 58575 57.0 68.0 (-11.0)#86 53.0 (+4.00)#14,030
87. 58771 57.0 68.0 (-11.0)#87 53.0 (+4.00)#14,043
88. 58474 58.0 68.0 (-10.00)#88 53.0 (+5.00)#14,292
89. 58275 58.0 68.0 (-10.00)#89 53.0 (+5.00)#14,335
90. 58316 59.0 68.0 (-9.00)#90 53.0 (+6.00)#14,537
91. 58385 59.0 68.0 (-9.00)#91 53.0 (+6.00)#14,648
92. 58103 60.0 68.0 (-8.00)#92 53.0 (+7.00)#14,672
93. 58540 60.0 68.0 (-8.00)#93 53.0 (+7.00)#14,881
94. 58770 60.0 68.0 (-8.00)#94 53.0 (+7.00)#14,915
95. 58718 60.0 68.0 (-8.00)#95 53.0 (+7.00)#14,925
96. 58104 61.0 68.0 (-7.00)#96 53.0 (+8.00)#14,975
97. 58258 63.0 68.0 (-5.00)#97 53.0 (+10.00)#15,798
98. 58038 63.0 68.0 (-5.00)#98 53.0 (+10.00)#15,801
99. 58228 64.0 68.0 (-4.00)#99 53.0 (+11.0)#16,045
100. 58271 64.0 68.0 (-4.00)#100 53.0 (+11.0)#16,049

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in North Dakota are:
#1
5.0
#2
6.0
#3
6.0
#4
7.0
#5
8.0
#6
8.0
#7
8.0
#8
9.0
#9
9.0
#10
11.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in North Dakota?
58225 has the Fewest Births per 1,000 Women Below Poverty Level in North Dakota with 5.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of North Dakota?
Number of Births per 1,000 Women Below Poverty Level in North Dakota is 68.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.