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

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Lowest Birth Rate | All Women
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 in North Dakota

80.0
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Zip Codes with the Fewest Births per 1,000 Women in North Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1.584365.065.0(-60.0)#152.0(-47.0)#211
2.582255.065.0(-60.0)#252.0(-47.0)#223
3.585716.065.0(-59.0)#352.0(-46.0)#300
4.587076.065.0(-59.0)#452.0(-46.0)#309
5.582187.065.0(-58.0)#552.0(-45.0)#385
6.580548.065.0(-57.0)#652.0(-44.0)#444
7.580538.065.0(-57.0)#752.0(-44.0)#470
8.587508.065.0(-57.0)#852.0(-44.0)#500
9.583699.065.0(-56.0)#952.0(-43.0)#603
10.580489.065.0(-56.0)#1052.0(-43.0)#630
11.5807210.065.0(-55.0)#1152.0(-42.0)#661
12.5825710.065.0(-55.0)#1252.0(-42.0)#703
13.5862611.065.0(-54.0)#1352.0(-41.0)#890
14.5849513.065.0(-52.0)#1452.0(-39.0)#1,169
15.5877314.065.0(-51.0)#1552.0(-38.0)#1,341
16.5802114.065.0(-51.0)#1652.0(-38.0)#1,353
17.5835214.065.0(-51.0)#1752.0(-38.0)#1,356
18.5844114.065.0(-51.0)#1852.0(-38.0)#1,361
19.5852815.065.0(-50.0)#1952.0(-37.0)#1,546
20.5876015.065.0(-50.0)#2052.0(-37.0)#1,564
21.5800516.065.0(-49.0)#2152.0(-36.0)#1,722
22.5872116.065.0(-49.0)#2252.0(-36.0)#1,743
23.5852118.065.0(-47.0)#2352.0(-34.0)#2,077
24.5806020.065.0(-45.0)#2452.0(-32.0)#2,507
25.5803220.065.0(-45.0)#2552.0(-32.0)#2,527
26.5838120.065.0(-45.0)#2652.0(-32.0)#2,541
27.5841520.065.0(-45.0)#2752.0(-32.0)#2,552
28.5876121.065.0(-44.0)#2852.0(-31.0)#2,768
29.5856822.065.0(-43.0)#2952.0(-30.0)#3,020
30.5871122.065.0(-43.0)#3052.0(-30.0)#3,035
31.5849722.065.0(-43.0)#3152.0(-30.0)#3,036
32.5857323.065.0(-42.0)#3252.0(-29.0)#3,275
33.5852923.065.0(-42.0)#3352.0(-29.0)#3,278
34.5849424.065.0(-41.0)#3452.0(-28.0)#3,540
35.5843825.065.0(-40.0)#3552.0(-27.0)#3,803
36.5805225.065.0(-40.0)#3652.0(-27.0)#3,811
37.5846625.065.0(-40.0)#3752.0(-27.0)#3,822
38.5853525.065.0(-40.0)#3852.0(-27.0)#3,823
39.5803125.065.0(-40.0)#3952.0(-27.0)#3,825
40.5854526.065.0(-39.0)#4052.0(-26.0)#3,987
41.5864027.065.0(-38.0)#4152.0(-25.0)#4,315
42.5827828.065.0(-37.0)#4252.0(-24.0)#4,559
43.5823528.065.0(-37.0)#4352.0(-24.0)#4,601
44.5877928.065.0(-37.0)#4452.0(-24.0)#4,611
45.5872529.065.0(-36.0)#4552.0(-23.0)#4,898
46.5862231.065.0(-34.0)#4652.0(-21.0)#5,441
47.5804031.065.0(-34.0)#4752.0(-21.0)#5,474
48.5884331.065.0(-34.0)#4852.0(-21.0)#5,475
49.5820332.065.0(-33.0)#4952.0(-20.0)#5,613
50.5853033.065.0(-32.0)#5052.0(-19.0)#6,103
51.5878133.065.0(-32.0)#5152.0(-19.0)#6,124
52.5828234.065.0(-31.0)#5252.0(-18.0)#6,422
53.5840135.065.0(-30.0)#5352.0(-17.0)#6,583
54.5872235.065.0(-30.0)#5452.0(-17.0)#6,723
55.5846735.065.0(-30.0)#5552.0(-17.0)#6,756
56.5833035.065.0(-30.0)#5652.0(-17.0)#6,758
57.5836836.065.0(-29.0)#5752.0(-16.0)#7,024
58.5876236.065.0(-29.0)#5852.0(-16.0)#7,106
59.5848237.065.0(-28.0)#5952.0(-15.0)#7,419
60.5807737.065.0(-28.0)#6052.0(-15.0)#7,425
61.5865238.065.0(-27.0)#6152.0(-14.0)#7,763
62.5883539.065.0(-26.0)#6252.0(-13.0)#8,138
63.5824940.065.0(-25.0)#6352.0(-12.0)#8,444
64.5862540.065.0(-25.0)#6452.0(-12.0)#8,511
65.5826640.065.0(-25.0)#6552.0(-12.0)#8,512
66.5865341.065.0(-24.0)#6652.0(-11.0)#8,843
67.5803341.065.0(-24.0)#6752.0(-11.0)#8,849
68.5880143.065.0(-22.0)#6852.0(-9.00)#9,281
69.5822043.065.0(-22.0)#6952.0(-9.00)#9,477
70.5863243.065.0(-22.0)#7052.0(-9.00)#9,538
71.5873343.065.0(-22.0)#7152.0(-9.00)#9,539
72.5862344.065.0(-21.0)#7252.0(-8.00)#9,880
73.5826544.065.0(-21.0)#7352.0(-8.00)#9,937
74.5824344.065.0(-21.0)#7452.0(-8.00)#9,938
75.5870345.065.0(-20.0)#7552.0(-7.00)#10,062
76.5827045.065.0(-20.0)#7652.0(-7.00)#10,232
77.5875245.065.0(-20.0)#7752.0(-7.00)#10,283
78.5830148.065.0(-17.0)#7852.0(-4.00)#11,200
79.5857949.065.0(-16.0)#7952.0(-3.00)#11,667
80.5810251.065.0(-14.0)#8052.0(-1.000)#12,115
81.5870152.065.0(-13.0)#8152.0(=0.000)#12,463
82.5801653.065.0(-12.0)#8252.0(+1.000)#13,046
83.5847654.065.0(-11.0)#8352.0(+2.00)#13,355
84.5856355.065.0(-10.00)#8452.0(+3.00)#13,611
85.5837055.065.0(-10.00)#8552.0(+3.00)#13,635
86.5873056.065.0(-9.00)#8652.0(+4.00)#13,925
87.5857557.065.0(-8.00)#8752.0(+5.00)#14,268
88.5877157.065.0(-8.00)#8852.0(+5.00)#14,281
89.5847458.065.0(-7.00)#8952.0(+6.00)#14,532
90.5827558.065.0(-7.00)#9052.0(+6.00)#14,583
91.5831659.065.0(-6.00)#9152.0(+7.00)#14,782
92.5838559.065.0(-6.00)#9252.0(+7.00)#14,889
93.5810360.065.0(-5.00)#9352.0(+8.00)#14,913
94.5854060.065.0(-5.00)#9452.0(+8.00)#15,126
95.5877060.065.0(-5.00)#9552.0(+8.00)#15,160
96.5871860.065.0(-5.00)#9652.0(+8.00)#15,169
97.5832760.065.0(-5.00)#9752.0(+8.00)#15,192
98.5810461.065.0(-4.00)#9852.0(+9.00)#15,221
99.5825863.065.0(-2.00)#9952.0(+11.0)#16,019
100.5803863.065.0(-2.00)#10052.0(+11.0)#16,022

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in North Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in North Dakota are:
#1
5.0
#2
5.0
#3
6.0
#4
6.0
#5
7.0
#6
8.0
#7
8.0
#8
8.0
#9
9.0
#10
9.0
What zip code has the Fewest Births per 1,000 Women in North Dakota?
58436 has the Fewest Births per 1,000 Women in North Dakota with 5.0.
What is the Number of Births per 1,000 Women in the State of North Dakota?
Number of Births per 1,000 Women in North Dakota is 65.0.
What is the Number of Births per 1,000 Women in the United States?
Number of Births per 1,000 Women in the United States is 52.0.