Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in North Dakota

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota

Zip Code Births / 1,000 Women vs State vs National
1.584366.059.0(-53.0)#148.0(-42.0)#296
2.580057.059.0(-52.0)#248.0(-41.0)#401
3.585718.059.0(-51.0)#348.0(-40.0)#543
4.582499.059.0(-50.0)#448.0(-39.0)#632
5.582189.059.0(-50.0)#548.0(-39.0)#665
6.5805410.059.0(-49.0)#648.0(-38.0)#773
7.5805311.059.0(-48.0)#748.0(-37.0)#968
8.5870711.059.0(-48.0)#848.0(-37.0)#991
9.5807212.059.0(-47.0)#948.0(-36.0)#1,053
10.5836912.059.0(-47.0)#1048.0(-36.0)#1,142
11.5804812.059.0(-47.0)#1148.0(-36.0)#1,157
12.5825713.059.0(-46.0)#1248.0(-35.0)#1,303
13.5884313.059.0(-46.0)#1348.0(-35.0)#1,328
14.5844115.059.0(-44.0)#1448.0(-33.0)#1,726
15.5862217.059.0(-42.0)#1548.0(-31.0)#2,068
16.5849517.059.0(-42.0)#1648.0(-31.0)#2,089
17.5836818.059.0(-41.0)#1748.0(-30.0)#2,244
18.5833018.059.0(-41.0)#1848.0(-30.0)#2,316
19.5877319.059.0(-40.0)#1948.0(-29.0)#2,519
20.5845619.059.0(-40.0)#2048.0(-29.0)#2,526
21.5872119.059.0(-40.0)#2148.0(-29.0)#2,533
22.5880120.059.0(-39.0)#2248.0(-28.0)#2,563
23.5852120.059.0(-39.0)#2348.0(-28.0)#2,784
24.5831621.059.0(-38.0)#2448.0(-27.0)#2,942
25.5826521.059.0(-38.0)#2548.0(-27.0)#3,048
26.5876021.059.0(-38.0)#2648.0(-27.0)#3,058
27.5855822.059.0(-37.0)#2748.0(-26.0)#3,284
28.5838124.059.0(-35.0)#2848.0(-24.0)#3,857
29.5803225.059.0(-34.0)#2948.0(-23.0)#4,122
30.5841525.059.0(-34.0)#3048.0(-23.0)#4,140
31.5806026.059.0(-33.0)#3148.0(-22.0)#4,404
32.5807726.059.0(-33.0)#3248.0(-22.0)#4,419
33.5820327.059.0(-32.0)#3348.0(-21.0)#4,549
34.5807127.059.0(-32.0)#3448.0(-21.0)#4,727
35.5805228.059.0(-31.0)#3548.0(-20.0)#5,016
36.5846628.059.0(-31.0)#3648.0(-20.0)#5,019
37.5843829.059.0(-30.0)#3748.0(-19.0)#5,295
38.5849430.059.0(-29.0)#3848.0(-18.0)#5,596
39.5856831.059.0(-28.0)#3948.0(-17.0)#5,892
40.5877931.059.0(-28.0)#4048.0(-17.0)#5,897
41.5854533.059.0(-26.0)#4148.0(-15.0)#6,472
42.5827833.059.0(-26.0)#4248.0(-15.0)#6,500
43.5849733.059.0(-26.0)#4348.0(-15.0)#6,559
44.5870334.059.0(-25.0)#4448.0(-14.0)#6,663
45.5877034.059.0(-25.0)#4548.0(-14.0)#6,818
46.5876134.059.0(-25.0)#4648.0(-14.0)#6,847
47.5875034.059.0(-25.0)#4748.0(-14.0)#6,862
48.5804235.059.0(-24.0)#4848.0(-13.0)#7,141
49.5828235.059.0(-24.0)#4948.0(-13.0)#7,144
50.5843335.059.0(-24.0)#5048.0(-13.0)#7,145
51.5853036.059.0(-23.0)#5148.0(-12.0)#7,438
52.5804036.059.0(-23.0)#5248.0(-12.0)#7,439
53.5822038.059.0(-21.0)#5348.0(-10.00)#8,078
54.5803138.059.0(-21.0)#5448.0(-10.00)#8,135
55.5876238.059.0(-21.0)#5548.0(-10.00)#8,143
56.5883539.059.0(-20.0)#5648.0(-9.00)#8,446
57.5840140.059.0(-19.0)#5748.0(-8.00)#8,616
58.5862340.059.0(-19.0)#5848.0(-8.00)#8,753
59.5872240.059.0(-19.0)#5948.0(-8.00)#8,764
60.5857340.059.0(-19.0)#6048.0(-8.00)#8,786
61.5826640.059.0(-19.0)#6148.0(-8.00)#8,805
62.5871142.059.0(-17.0)#6248.0(-6.00)#9,484
63.5856343.059.0(-16.0)#6348.0(-5.00)#9,767
64.5878143.059.0(-16.0)#6448.0(-5.00)#9,805
65.5850144.059.0(-15.0)#6548.0(-4.00)#9,910
66.5803346.059.0(-13.0)#6648.0(-2.00)#10,750
67.5865247.059.0(-12.0)#6748.0(-1.000)#11,035
68.5848247.059.0(-12.0)#6848.0(-1.000)#11,038
69.5875748.059.0(-11.0)#6948.0(=0.000)#11,320
70.5873348.059.0(-11.0)#7048.0(=0.000)#11,354
71.5827049.059.0(-10.00)#7148.0(+1.000)#11,615
72.5810351.059.0(-8.00)#7248.0(+3.00)#11,975
73.5870152.059.0(-7.00)#7348.0(+4.00)#12,292
74.5860152.059.0(-7.00)#7448.0(+4.00)#12,311
75.5846752.059.0(-7.00)#7548.0(+4.00)#12,522
76.5810253.059.0(-6.00)#7648.0(+5.00)#12,603
77.5801655.059.0(-4.00)#7748.0(+7.00)#13,375
78.5862556.059.0(-3.00)#7848.0(+8.00)#13,638
79.5871858.059.0(-1.000)#7948.0(+10.00)#14,098
80.5810460.059.0(+1.000)#8048.0(+12.0)#14,383
81.5855460.059.0(+1.000)#8148.0(+12.0)#14,419
82.5885460.059.0(+1.000)#8248.0(+12.0)#14,485
83.5836760.059.0(+1.000)#8348.0(+12.0)#14,546
84.5847661.059.0(+2.00)#8448.0(+13.0)#14,765
85.5830163.059.0(+4.00)#8548.0(+15.0)#15,123
86.5873064.059.0(+5.00)#8648.0(+16.0)#15,425
87.5827564.059.0(+5.00)#8748.0(+16.0)#15,434
88.5845868.059.0(+9.00)#8848.0(+20.0)#16,214
89.5863669.059.0(+10.00)#8948.0(+21.0)#16,419
90.5822869.059.0(+10.00)#9048.0(+21.0)#16,425
91.5827669.059.0(+10.00)#9148.0(+21.0)#16,431
92.5820170.059.0(+11.0)#9248.0(+22.0)#16,455
93.5847470.059.0(+11.0)#9348.0(+22.0)#16,558
94.5874070.059.0(+11.0)#9448.0(+22.0)#16,594
95.5875970.059.0(+11.0)#9548.0(+22.0)#16,596
96.5850471.059.0(+12.0)#9648.0(+23.0)#16,636
97.5879071.059.0(+12.0)#9748.0(+23.0)#16,741
98.5836671.059.0(+12.0)#9848.0(+23.0)#16,753
99.5821271.059.0(+12.0)#9948.0(+23.0)#16,762
100.5805972.059.0(+13.0)#10048.0(+24.0)#16,923

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Dakota are:
#1
6.0
#2
7.0
#3
8.0
#4
9.0
#5
9.0
#6
10.0
#7
11.0
#8
11.0
#9
12.0
#10
12.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in North Dakota?
58436 has the Lowest Births per 1,000 Women in Labor Force in North Dakota with 6.0.
What is the Number Births per 1,000 Women in Labor Force in the State of North Dakota?
Number Births per 1,000 Women in Labor Force in North Dakota is 59.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.