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

RELATED REPORTS & OPTIONS

Highest 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 Most Births per 1,000 Women Below Poverty Level in North Dakota

0.0
800.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 58488 733.0 68.0 (+665)#1 53.0 (+680)#81
2. 58477 667.0 68.0 (+599)#2 53.0 (+614)#102
3. 58794 563.0 68.0 (+495)#3 53.0 (+510)#142
4. 58486 471.0 68.0 (+403)#4 53.0 (+418)#197
5. 58223 467.0 68.0 (+399)#5 53.0 (+414)#200
6. 58422 462.0 68.0 (+394)#6 53.0 (+409)#204
7. 58439 413.0 68.0 (+345)#7 53.0 (+360)#247
8. 58731 390.0 68.0 (+322)#8 53.0 (+337)#270
9. 58029 357.0 68.0 (+289)#9 53.0 (+304)#330
10. 58331 350.0 68.0 (+282)#10 53.0 (+297)#342
11. 58426 316.0 68.0 (+248)#11 53.0 (+263)#409
12. 58058 316.0 68.0 (+248)#12 53.0 (+263)#410
13. 58046 304.0 68.0 (+236)#13 53.0 (+251)#440
14. 58377 296.0 68.0 (+228)#14 53.0 (+243)#468
15. 58063 292.0 68.0 (+224)#15 53.0 (+239)#479
16. 58445 286.0 68.0 (+218)#16 53.0 (+233)#506
17. 58727 273.0 68.0 (+205)#17 53.0 (+220)#553
18. 58067 268.0 68.0 (+200)#18 53.0 (+215)#573
19. 58645 261.0 68.0 (+193)#19 53.0 (+208)#603
20. 58418 254.0 68.0 (+186)#20 53.0 (+201)#637
21. 58847 250.0 68.0 (+182)#21 53.0 (+197)#653
22. 58650 237.0 68.0 (+169)#22 53.0 (+184)#734
23. 58015 234.0 68.0 (+166)#23 53.0 (+181)#749
24. 58241 230.0 68.0 (+162)#24 53.0 (+177)#777
25. 58755 230.0 68.0 (+162)#25 53.0 (+177)#778
26. 58490 222.0 68.0 (+154)#26 53.0 (+169)#822
27. 58451 222.0 68.0 (+154)#27 53.0 (+169)#827
28. 58736 212.0 68.0 (+144)#28 53.0 (+159)#871
29. 58227 206.0 68.0 (+138)#29 53.0 (+153)#917
30. 58784 199.0 68.0 (+131)#30 53.0 (+146)#998
31. 58772 194.0 68.0 (+126)#31 53.0 (+141)#1,062
32. 58549 192.0 68.0 (+124)#32 53.0 (+139)#1,079
33. 58030 186.0 68.0 (+118)#33 53.0 (+133)#1,153
34. 58335 185.0 68.0 (+117)#34 53.0 (+132)#1,162
35. 58758 178.0 68.0 (+110)#35 53.0 (+125)#1,247
36. 58631 176.0 68.0 (+108)#36 53.0 (+123)#1,267
37. 58274 174.0 68.0 (+106)#37 53.0 (+121)#1,303
38. 58544 167.0 68.0 (+99.0)#38 53.0 (+114)#1,431
39. 58788 165.0 68.0 (+97.0)#39 53.0 (+112)#1,473
40. 58838 164.0 68.0 (+96.0)#40 53.0 (+111)#1,489
41. 58785 158.0 68.0 (+90.0)#41 53.0 (+105)#1,596
42. 58853 155.0 68.0 (+87.0)#42 53.0 (+102)#1,655
43. 58566 154.0 68.0 (+86.0)#43 53.0 (+101)#1,673
44. 58852 145.0 68.0 (+77.0)#44 53.0 (+92.0)#1,861
45. 58487 144.0 68.0 (+76.0)#45 53.0 (+91.0)#1,902
46. 58081 143.0 68.0 (+75.0)#46 53.0 (+90.0)#1,922
47. 58027 141.0 68.0 (+73.0)#47 53.0 (+88.0)#1,972
48. 58845 141.0 68.0 (+73.0)#48 53.0 (+88.0)#1,976
49. 58346 141.0 68.0 (+73.0)#49 53.0 (+88.0)#1,977
50. 58324 140.0 68.0 (+72.0)#50 53.0 (+87.0)#1,993
51. 58374 140.0 68.0 (+72.0)#51 53.0 (+87.0)#2,002
52. 58012 139.0 68.0 (+71.0)#52 53.0 (+86.0)#2,025
53. 58456 137.0 68.0 (+69.0)#53 53.0 (+84.0)#2,101
54. 58775 136.0 68.0 (+68.0)#54 53.0 (+83.0)#2,141
55. 58001 135.0 68.0 (+67.0)#55 53.0 (+82.0)#2,180
56. 58204 133.0 68.0 (+65.0)#56 53.0 (+80.0)#2,231
57. 58237 132.0 68.0 (+64.0)#57 53.0 (+79.0)#2,258
58. 58576 130.0 68.0 (+62.0)#58 53.0 (+77.0)#2,333
59. 58639 126.0 68.0 (+58.0)#59 53.0 (+73.0)#2,490
60. 58051 124.0 68.0 (+56.0)#60 53.0 (+71.0)#2,577
61. 58577 124.0 68.0 (+56.0)#61 53.0 (+71.0)#2,578
62. 58472 123.0 68.0 (+55.0)#62 53.0 (+70.0)#2,642
63. 58642 122.0 68.0 (+54.0)#63 53.0 (+69.0)#2,685
64. 58538 118.0 68.0 (+50.0)#64 53.0 (+65.0)#2,830
65. 58461 117.0 68.0 (+49.0)#65 53.0 (+64.0)#2,910
66. 58041 116.0 68.0 (+48.0)#66 53.0 (+63.0)#2,935
67. 58768 115.0 68.0 (+47.0)#67 53.0 (+62.0)#3,008
68. 58704 111.0 68.0 (+43.0)#68 53.0 (+58.0)#3,194
69. 58069 111.0 68.0 (+43.0)#69 53.0 (+58.0)#3,242
70. 58238 111.0 68.0 (+43.0)#70 53.0 (+58.0)#3,243
71. 58318 109.0 68.0 (+41.0)#71 53.0 (+56.0)#3,321
72. 58256 109.0 68.0 (+41.0)#72 53.0 (+56.0)#3,341
73. 58341 108.0 68.0 (+40.0)#73 53.0 (+55.0)#3,397
74. 58646 108.0 68.0 (+40.0)#74 53.0 (+55.0)#3,413
75. 58561 107.0 68.0 (+39.0)#75 53.0 (+54.0)#3,485
76. 58455 107.0 68.0 (+39.0)#76 53.0 (+54.0)#3,495
77. 58348 106.0 68.0 (+38.0)#77 53.0 (+53.0)#3,560
78. 58541 106.0 68.0 (+38.0)#78 53.0 (+53.0)#3,562
79. 58261 105.0 68.0 (+37.0)#79 53.0 (+52.0)#3,617
80. 58849 104.0 68.0 (+36.0)#80 53.0 (+51.0)#3,686
81. 58533 104.0 68.0 (+36.0)#81 53.0 (+51.0)#3,690
82. 58790 103.0 68.0 (+35.0)#82 53.0 (+50.0)#3,761
83. 58757 103.0 68.0 (+35.0)#83 53.0 (+50.0)#3,764
84. 58357 103.0 68.0 (+35.0)#84 53.0 (+50.0)#3,778
85. 58464 103.0 68.0 (+35.0)#85 53.0 (+50.0)#3,786
86. 58759 100.0 68.0 (+32.0)#86 53.0 (+47.0)#3,993
87. 58230 100.0 68.0 (+32.0)#87 53.0 (+47.0)#3,996
88. 58424 100.0 68.0 (+32.0)#88 53.0 (+47.0)#3,999
89. 58210 100.0 68.0 (+32.0)#89 53.0 (+47.0)#4,011
90. 58523 99.0 68.0 (+31.0)#90 53.0 (+46.0)#4,054
91. 58740 99.0 68.0 (+31.0)#91 53.0 (+46.0)#4,088
92. 58259 99.0 68.0 (+31.0)#92 53.0 (+46.0)#4,093
93. 58636 98.0 68.0 (+30.0)#93 53.0 (+45.0)#4,157
94. 58501 97.0 68.0 (+29.0)#94 53.0 (+44.0)#4,189
95. 58075 97.0 68.0 (+29.0)#95 53.0 (+44.0)#4,207
96. 58735 96.0 68.0 (+28.0)#96 53.0 (+43.0)#4,368
97. 58552 93.0 68.0 (+25.0)#97 53.0 (+40.0)#4,620
98. 58064 92.0 68.0 (+24.0)#98 53.0 (+39.0)#4,737
99. 58601 91.0 68.0 (+23.0)#99 53.0 (+38.0)#4,751
100. 58229 91.0 68.0 (+23.0)#100 53.0 (+38.0)#4,852

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in North Dakota are:
#1
733.0
#2
667.0
#3
563.0
#4
471.0
#5
467.0
#6
462.0
#7
413.0
#8
390.0
#9
357.0
#10
350.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in North Dakota?
58488 has the Most Births per 1,000 Women Below Poverty Level in North Dakota with 733.0.
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.