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
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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
1.582255.068.0(-63.0)#153.0(-48.0)#195
2.584366.068.0(-62.0)#253.0(-47.0)#256
3.585716.068.0(-62.0)#353.0(-47.0)#270
4.582187.068.0(-61.0)#453.0(-46.0)#347
5.580548.068.0(-60.0)#553.0(-45.0)#398
6.580538.068.0(-60.0)#653.0(-45.0)#422
7.587508.068.0(-60.0)#753.0(-45.0)#451
8.583699.068.0(-59.0)#853.0(-44.0)#553
9.580489.068.0(-59.0)#953.0(-44.0)#580
10.5807211.068.0(-57.0)#1053.0(-42.0)#733
11.5862611.068.0(-57.0)#1153.0(-42.0)#823
12.5825712.068.0(-56.0)#1253.0(-41.0)#920
13.5849513.068.0(-55.0)#1353.0(-40.0)#1,093
14.5877314.068.0(-54.0)#1453.0(-39.0)#1,257
15.5802114.068.0(-54.0)#1553.0(-39.0)#1,269
16.5835214.068.0(-54.0)#1653.0(-39.0)#1,272
17.5844114.068.0(-54.0)#1753.0(-39.0)#1,277
18.5852815.068.0(-53.0)#1853.0(-38.0)#1,455
19.5876015.068.0(-53.0)#1953.0(-38.0)#1,472
20.5800516.068.0(-52.0)#2053.0(-37.0)#1,622
21.5872116.068.0(-52.0)#2153.0(-37.0)#1,642
22.5852118.068.0(-50.0)#2253.0(-35.0)#1,981
23.5806020.068.0(-48.0)#2353.0(-33.0)#2,377
24.5803220.068.0(-48.0)#2453.0(-33.0)#2,397
25.5838120.068.0(-48.0)#2553.0(-33.0)#2,411
26.5841520.068.0(-48.0)#2653.0(-33.0)#2,422
27.5876121.068.0(-47.0)#2753.0(-32.0)#2,631
28.5856822.068.0(-46.0)#2853.0(-31.0)#2,882
29.5871122.068.0(-46.0)#2953.0(-31.0)#2,897
30.5849722.068.0(-46.0)#3053.0(-31.0)#2,898
31.5857323.068.0(-45.0)#3153.0(-30.0)#3,118
32.5852923.068.0(-45.0)#3253.0(-30.0)#3,120
33.5849424.068.0(-44.0)#3353.0(-29.0)#3,384
34.5843825.068.0(-43.0)#3453.0(-28.0)#3,644
35.5805225.068.0(-43.0)#3553.0(-28.0)#3,652
36.5846625.068.0(-43.0)#3653.0(-28.0)#3,662
37.5853525.068.0(-43.0)#3753.0(-28.0)#3,663
38.5803125.068.0(-43.0)#3853.0(-28.0)#3,665
39.5854526.068.0(-42.0)#3953.0(-27.0)#3,817
40.5864027.068.0(-41.0)#4053.0(-26.0)#4,139
41.5827828.068.0(-40.0)#4153.0(-25.0)#4,380
42.5823528.068.0(-40.0)#4253.0(-25.0)#4,422
43.5877928.068.0(-40.0)#4353.0(-25.0)#4,432
44.5872529.068.0(-39.0)#4453.0(-24.0)#4,707
45.5862231.068.0(-37.0)#4553.0(-22.0)#5,252
46.5804031.068.0(-37.0)#4653.0(-22.0)#5,285
47.5884331.068.0(-37.0)#4753.0(-22.0)#5,286
48.5853033.068.0(-35.0)#4853.0(-20.0)#5,879
49.5878133.068.0(-35.0)#4953.0(-20.0)#5,900
50.5828234.068.0(-34.0)#5053.0(-19.0)#6,194
51.5840135.068.0(-33.0)#5153.0(-18.0)#6,355
52.5820335.068.0(-33.0)#5253.0(-18.0)#6,364
53.5872235.068.0(-33.0)#5353.0(-18.0)#6,495
54.5846735.068.0(-33.0)#5453.0(-18.0)#6,527
55.5833035.068.0(-33.0)#5553.0(-18.0)#6,529
56.5836836.068.0(-32.0)#5653.0(-17.0)#6,811
57.5876236.068.0(-32.0)#5753.0(-17.0)#6,900
58.5848237.068.0(-31.0)#5853.0(-16.0)#7,190
59.5807737.068.0(-31.0)#5953.0(-16.0)#7,196
60.5865238.068.0(-30.0)#6053.0(-15.0)#7,527
61.5883539.068.0(-29.0)#6153.0(-14.0)#7,898
62.5862540.068.0(-28.0)#6253.0(-13.0)#8,268
63.5826640.068.0(-28.0)#6353.0(-13.0)#8,269
64.5824941.068.0(-27.0)#6453.0(-12.0)#8,532
65.5865341.068.0(-27.0)#6553.0(-12.0)#8,589
66.5803341.068.0(-27.0)#6653.0(-12.0)#8,594
67.5880143.068.0(-25.0)#6753.0(-10.00)#9,026
68.5863243.068.0(-25.0)#6853.0(-10.00)#9,300
69.5873343.068.0(-25.0)#6953.0(-10.00)#9,301
70.5822044.068.0(-24.0)#7053.0(-9.00)#9,643
71.5862344.068.0(-24.0)#7153.0(-9.00)#9,648
72.5826544.068.0(-24.0)#7253.0(-9.00)#9,705
73.5824344.068.0(-24.0)#7353.0(-9.00)#9,706
74.5827045.068.0(-23.0)#7453.0(-8.00)#9,997
75.5875245.068.0(-23.0)#7553.0(-8.00)#10,046
76.5870346.068.0(-22.0)#7653.0(-7.00)#10,197
77.5857949.068.0(-19.0)#7753.0(-4.00)#11,428
78.5830150.068.0(-18.0)#7853.0(-3.00)#11,651
79.5870153.068.0(-15.0)#7953.0(=0.000)#12,540
80.5801653.068.0(-15.0)#8053.0(=0.000)#12,803
81.5810254.068.0(-14.0)#8153.0(+1.000)#12,890
82.5847654.068.0(-14.0)#8253.0(+1.000)#13,108
83.5856355.068.0(-13.0)#8353.0(+2.00)#13,372
84.5837055.068.0(-13.0)#8453.0(+2.00)#13,395
85.5873056.068.0(-12.0)#8553.0(+3.00)#13,684
86.5857557.068.0(-11.0)#8653.0(+4.00)#14,030
87.5877157.068.0(-11.0)#8753.0(+4.00)#14,043
88.5847458.068.0(-10.00)#8853.0(+5.00)#14,292
89.5827558.068.0(-10.00)#8953.0(+5.00)#14,335
90.5831659.068.0(-9.00)#9053.0(+6.00)#14,537
91.5838559.068.0(-9.00)#9153.0(+6.00)#14,648
92.5810360.068.0(-8.00)#9253.0(+7.00)#14,672
93.5854060.068.0(-8.00)#9353.0(+7.00)#14,881
94.5877060.068.0(-8.00)#9453.0(+7.00)#14,915
95.5871860.068.0(-8.00)#9553.0(+7.00)#14,925
96.5810461.068.0(-7.00)#9653.0(+8.00)#14,975
97.5825863.068.0(-5.00)#9753.0(+10.00)#15,798
98.5803863.068.0(-5.00)#9853.0(+10.00)#15,801
99.5822864.068.0(-4.00)#9953.0(+11.0)#16,045
100.5827164.068.0(-4.00)#10053.0(+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.