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

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Lowest 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 Fewest Births per 1,000 Women Over the Age of 35 in North Dakota

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

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

Zip Code Births / 1,000 Women vs State vs National
1.580728.032.0(-24.0)#132.0(-24.0)#1,184
2.5880112.032.0(-20.0)#232.0(-20.0)#2,148
3.5860112.032.0(-20.0)#332.0(-20.0)#2,169
4.5855412.032.0(-20.0)#432.0(-20.0)#2,173
5.5862212.032.0(-20.0)#532.0(-20.0)#2,384
6.5855812.032.0(-20.0)#632.0(-20.0)#2,393
7.5871012.032.0(-20.0)#732.0(-20.0)#2,398
8.5874613.032.0(-19.0)#832.0(-19.0)#2,674
9.5871813.032.0(-19.0)#932.0(-19.0)#2,682
10.5821813.032.0(-19.0)#1032.0(-19.0)#2,695
11.5810414.032.0(-18.0)#1132.0(-18.0)#2,712
12.5840114.032.0(-18.0)#1232.0(-18.0)#2,812
13.5825714.032.0(-18.0)#1332.0(-18.0)#2,967
14.5870115.032.0(-17.0)#1432.0(-17.0)#3,061
15.5836917.032.0(-15.0)#1532.0(-15.0)#3,896
16.5835217.032.0(-15.0)#1632.0(-15.0)#3,900
17.5824918.032.0(-14.0)#1732.0(-14.0)#4,171
18.5856319.032.0(-13.0)#1832.0(-13.0)#4,481
19.5826719.032.0(-13.0)#1932.0(-13.0)#4,492
20.5863921.032.0(-11.0)#2032.0(-11.0)#5,129
21.5847422.032.0(-10.00)#2132.0(-10.00)#5,408
22.5850423.032.0(-9.00)#2232.0(-9.00)#5,522
23.5807723.032.0(-9.00)#2332.0(-9.00)#5,726
24.5823724.032.0(-8.00)#2432.0(-8.00)#5,962
25.5836726.032.0(-6.00)#2532.0(-6.00)#6,666
26.5849526.032.0(-6.00)#2632.0(-6.00)#6,673
27.5810327.032.0(-5.00)#2732.0(-5.00)#6,720
28.5820127.032.0(-5.00)#2832.0(-5.00)#6,739
29.5872128.032.0(-4.00)#2932.0(-4.00)#7,277
30.5820329.032.0(-3.00)#3032.0(-3.00)#7,449
31.5822829.032.0(-3.00)#3132.0(-3.00)#7,566
32.5807530.032.0(-2.00)#3232.0(-2.00)#7,762
33.5810231.032.0(-1.000)#3332.0(-1.000)#7,932
34.5863232.032.0(=0.000)#3432.0(=0.000)#8,415
35.5827133.032.0(+1.000)#3532.0(+1.000)#8,700
36.5870436.032.0(+4.00)#3632.0(+4.00)#9,430
37.5865636.032.0(+4.00)#3732.0(+4.00)#9,477
38.5853338.032.0(+6.00)#3832.0(+6.00)#9,934
39.5827040.032.0(+8.00)#3932.0(+8.00)#10,321
40.5805141.032.0(+9.00)#4032.0(+9.00)#10,547
41.5849441.032.0(+9.00)#4132.0(+9.00)#10,571
42.5852342.032.0(+10.00)#4232.0(+10.00)#10,742
43.5827542.032.0(+10.00)#4332.0(+10.00)#10,770
44.5876343.032.0(+11.0)#4432.0(+11.0)#10,936
45.5852144.032.0(+12.0)#4532.0(+12.0)#11,174
46.5804749.032.0(+17.0)#4632.0(+17.0)#11,980
47.5834149.032.0(+17.0)#4732.0(+17.0)#11,997
48.5803050.032.0(+18.0)#4832.0(+18.0)#12,178
49.5835651.032.0(+19.0)#4932.0(+19.0)#12,302
50.5803151.032.0(+19.0)#5032.0(+19.0)#12,319
51.5870352.032.0(+20.0)#5132.0(+20.0)#12,368
52.5820452.032.0(+20.0)#5232.0(+20.0)#12,430
53.5850353.032.0(+21.0)#5332.0(+21.0)#12,460
54.5855253.032.0(+21.0)#5432.0(+21.0)#12,559
55.5826554.032.0(+22.0)#5532.0(+22.0)#12,688
56.5805956.032.0(+24.0)#5632.0(+24.0)#12,922
57.5807156.032.0(+24.0)#5732.0(+24.0)#12,940
58.5823059.032.0(+27.0)#5832.0(+27.0)#13,272
59.5800163.032.0(+31.0)#5932.0(+31.0)#13,662
60.5857566.032.0(+34.0)#6032.0(+34.0)#13,913
61.5808166.032.0(+34.0)#6132.0(+34.0)#13,914
62.5823566.032.0(+34.0)#6232.0(+34.0)#13,916
63.5862367.032.0(+35.0)#6332.0(+35.0)#13,993
64.5807868.032.0(+36.0)#6432.0(+36.0)#14,020
65.5885468.032.0(+36.0)#6532.0(+36.0)#14,048
66.5850173.032.0(+41.0)#6632.0(+41.0)#14,359
67.5826173.032.0(+41.0)#6732.0(+41.0)#14,415
68.5846375.032.0(+43.0)#6832.0(+43.0)#14,547
69.5824382.032.0(+50.0)#6932.0(+50.0)#14,884
70.5843383.032.0(+51.0)#7032.0(+51.0)#14,918
71.5873383.032.0(+51.0)#7132.0(+51.0)#14,925
72.5863186.032.0(+54.0)#7232.0(+54.0)#15,038
73.5848787.032.0(+55.0)#7332.0(+55.0)#15,072
74.5853892.032.0(+60.0)#7432.0(+60.0)#15,247
75.5804293.032.0(+61.0)#7532.0(+61.0)#15,269
76.5831896.032.0(+64.0)#7632.0(+64.0)#15,345
77.5873597.032.0(+65.0)#7732.0(+65.0)#15,390
78.58497100.032.0(+68.0)#7832.0(+68.0)#15,478
79.58561108.032.0(+76.0)#7932.0(+76.0)#15,652
80.58256108.032.0(+76.0)#8032.0(+76.0)#15,654
81.58385111.032.0(+79.0)#8132.0(+79.0)#15,706
82.58329113.032.0(+81.0)#8232.0(+81.0)#15,726
83.58785114.032.0(+82.0)#8332.0(+82.0)#15,752
84.58330118.032.0(+86.0)#8432.0(+86.0)#15,813
85.58425124.032.0(+92.0)#8532.0(+92.0)#15,899
86.58038125.032.0(+93.0)#8632.0(+93.0)#15,917
87.58849129.032.0(+97.0)#8732.0(+97.0)#15,976
88.58655141.032.0(+109)#8832.0(+109)#16,117
89.58012145.032.0(+113)#8932.0(+113)#16,150
90.58472148.032.0(+116)#9032.0(+116)#16,186
91.58646149.032.0(+117)#9132.0(+117)#16,189
92.58346151.032.0(+119)#9232.0(+119)#16,201
93.58274156.032.0(+124)#9332.0(+124)#16,250
94.58757157.032.0(+125)#9432.0(+125)#16,263
95.58784158.032.0(+126)#9532.0(+126)#16,271
96.58741167.032.0(+135)#9632.0(+135)#16,334
97.58636181.032.0(+149)#9732.0(+149)#16,440
98.58379185.032.0(+153)#9832.0(+153)#16,458
99.58845200.032.0(+168)#9932.0(+168)#16,525
100.58838207.032.0(+175)#10032.0(+175)#16,562

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota are:
#1
8.0
#2
12.0
#3
12.0
#4
12.0
#5
12.0
#6
12.0
#7
12.0
#8
13.0
#9
13.0
#10
13.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota?
58072 has the Fewest Births per 1,000 Women Over the Age of 35 in North Dakota with 8.0.
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.