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

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Highest 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 Most Births per 1,000 Women Over the Age of 35 in North Dakota

0.0
600.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1.58331600.032.0(+568)#132.0(+568)#65
2.58029556.032.0(+524)#232.0(+524)#76
3.58223538.032.0(+506)#332.0(+506)#80
4.58277500.032.0(+468)#432.0(+468)#97
5.58650455.032.0(+423)#532.0(+423)#111
6.58486421.032.0(+389)#632.0(+389)#122
7.58063379.032.0(+347)#732.0(+347)#145
8.58377308.032.0(+276)#832.0(+276)#220
9.58490304.032.0(+272)#932.0(+272)#224
10.58576260.032.0(+228)#1032.0(+228)#291
11.58852230.032.0(+198)#1132.0(+198)#376
12.58755230.032.0(+198)#1232.0(+198)#378
13.58838207.032.0(+175)#1332.0(+175)#446
14.58845200.032.0(+168)#1432.0(+168)#473
15.58379185.032.0(+153)#1532.0(+153)#550
16.58636181.032.0(+149)#1632.0(+149)#570
17.58741167.032.0(+135)#1732.0(+135)#668
18.58784158.032.0(+126)#1832.0(+126)#731
19.58757157.032.0(+125)#1932.0(+125)#743
20.58274156.032.0(+124)#2032.0(+124)#757
21.58346151.032.0(+119)#2132.0(+119)#806
22.58646149.032.0(+117)#2232.0(+117)#818
23.58472148.032.0(+116)#2332.0(+116)#826
24.58012145.032.0(+113)#2432.0(+113)#850
25.58655141.032.0(+109)#2532.0(+109)#894
26.58849129.032.0(+97.0)#2632.0(+97.0)#1,039
27.58038125.032.0(+93.0)#2732.0(+93.0)#1,102
28.58425124.032.0(+92.0)#2832.0(+92.0)#1,112
29.58330118.032.0(+86.0)#2932.0(+86.0)#1,193
30.58785114.032.0(+82.0)#3032.0(+82.0)#1,265
31.58329113.032.0(+81.0)#3132.0(+81.0)#1,278
32.58385111.032.0(+79.0)#3232.0(+79.0)#1,322
33.58561108.032.0(+76.0)#3332.0(+76.0)#1,362
34.58256108.032.0(+76.0)#3432.0(+76.0)#1,364
35.58497100.032.0(+68.0)#3532.0(+68.0)#1,557
36.5873597.032.0(+65.0)#3632.0(+65.0)#1,638
37.5831896.032.0(+64.0)#3732.0(+64.0)#1,653
38.5804293.032.0(+61.0)#3832.0(+61.0)#1,745
39.5853892.032.0(+60.0)#3932.0(+60.0)#1,782
40.5848787.032.0(+55.0)#4032.0(+55.0)#1,957
41.5863186.032.0(+54.0)#4132.0(+54.0)#2,000
42.5843383.032.0(+51.0)#4232.0(+51.0)#2,111
43.5873383.032.0(+51.0)#4332.0(+51.0)#2,118
44.5824382.032.0(+50.0)#4432.0(+50.0)#2,167
45.5846375.032.0(+43.0)#4532.0(+43.0)#2,517
46.5850173.032.0(+41.0)#4632.0(+41.0)#2,593
47.5826173.032.0(+41.0)#4732.0(+41.0)#2,649
48.5807868.032.0(+36.0)#4832.0(+36.0)#2,926
49.5885468.032.0(+36.0)#4932.0(+36.0)#2,954
50.5862367.032.0(+35.0)#5032.0(+35.0)#3,065
51.5857566.032.0(+34.0)#5132.0(+34.0)#3,164
52.5808166.032.0(+34.0)#5232.0(+34.0)#3,165
53.5823566.032.0(+34.0)#5332.0(+34.0)#3,167
54.5800163.032.0(+31.0)#5432.0(+31.0)#3,446
55.5823059.032.0(+27.0)#5532.0(+27.0)#3,831
56.5805956.032.0(+24.0)#5632.0(+24.0)#4,168
57.5807156.032.0(+24.0)#5732.0(+24.0)#4,186
58.5826554.032.0(+22.0)#5832.0(+22.0)#4,425
59.5850353.032.0(+21.0)#5932.0(+21.0)#4,449
60.5855253.032.0(+21.0)#6032.0(+21.0)#4,548
61.5870352.032.0(+20.0)#6132.0(+20.0)#4,612
62.5820452.032.0(+20.0)#6232.0(+20.0)#4,674
63.5835651.032.0(+19.0)#6332.0(+19.0)#4,804
64.5803151.032.0(+19.0)#6432.0(+19.0)#4,821
65.5803050.032.0(+18.0)#6532.0(+18.0)#4,983
66.5804749.032.0(+17.0)#6632.0(+17.0)#5,116
67.5834149.032.0(+17.0)#6732.0(+17.0)#5,133
68.5852144.032.0(+12.0)#6832.0(+12.0)#6,011
69.5876343.032.0(+11.0)#6932.0(+11.0)#6,165
70.5852342.032.0(+10.00)#7032.0(+10.00)#6,391
71.5827542.032.0(+10.00)#7132.0(+10.00)#6,419
72.5805141.032.0(+9.00)#7232.0(+9.00)#6,638
73.5849441.032.0(+9.00)#7332.0(+9.00)#6,662
74.5827040.032.0(+8.00)#7432.0(+8.00)#6,864
75.5853338.032.0(+6.00)#7532.0(+6.00)#7,283
76.5870436.032.0(+4.00)#7632.0(+4.00)#7,714
77.5865636.032.0(+4.00)#7732.0(+4.00)#7,761
78.5827133.032.0(+1.000)#7832.0(+1.000)#8,581
79.5863232.032.0(=0.000)#7932.0(=0.000)#8,864
80.5810231.032.0(-1.000)#8032.0(-1.000)#8,946
81.5807530.032.0(-2.00)#8132.0(-2.00)#9,344
82.5820329.032.0(-3.00)#8232.0(-3.00)#9,604
83.5822829.032.0(-3.00)#8332.0(-3.00)#9,721
84.5872128.032.0(-4.00)#8432.0(-4.00)#9,999
85.5810327.032.0(-5.00)#8532.0(-5.00)#10,033
86.5820127.032.0(-5.00)#8632.0(-5.00)#10,052
87.5836726.032.0(-6.00)#8732.0(-6.00)#10,608
88.5849526.032.0(-6.00)#8832.0(-6.00)#10,615
89.5823724.032.0(-8.00)#8932.0(-8.00)#11,177
90.5850423.032.0(-9.00)#9032.0(-9.00)#11,343
91.5807723.032.0(-9.00)#9132.0(-9.00)#11,547
92.5847422.032.0(-10.00)#9232.0(-10.00)#11,815
93.5863921.032.0(-11.0)#9332.0(-11.0)#12,168
94.5856319.032.0(-13.0)#9432.0(-13.0)#12,768
95.5826719.032.0(-13.0)#9532.0(-13.0)#12,779
96.5824918.032.0(-14.0)#9632.0(-14.0)#13,062
97.5836917.032.0(-15.0)#9732.0(-15.0)#13,413
98.5835217.032.0(-15.0)#9832.0(-15.0)#13,417
99.5870115.032.0(-17.0)#9932.0(-17.0)#13,765
100.5810414.032.0(-18.0)#10032.0(-18.0)#14,013

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in North Dakota are:
#1
600.0
#2
556.0
#3
538.0
#4
500.0
#5
455.0
#6
421.0
#7
379.0
#8
308.0
#9
304.0
#10
260.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in North Dakota?
58331 has the Most Births per 1,000 Women Over the Age of 35 in North Dakota with 600.0.
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.