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

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Highest 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 Most Births per 1,000 Women in North Dakota

0.0
800.0
Zip Codes with the Most Births per 1,000 Women in North Dakota Map

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

Zip Code Births / 1,000 Women vs State vs National
1.58488733.065.0(+668)#152.0(+681)#80
2.58477667.065.0(+602)#252.0(+615)#101
3.58794563.065.0(+498)#352.0(+511)#140
4.58486471.065.0(+406)#452.0(+419)#194
5.58223467.065.0(+402)#552.0(+415)#197
6.58422462.065.0(+397)#652.0(+410)#201
7.58439413.065.0(+348)#752.0(+361)#244
8.58731390.065.0(+325)#852.0(+338)#266
9.58029357.065.0(+292)#952.0(+305)#325
10.58331350.065.0(+285)#1052.0(+298)#336
11.58426316.065.0(+251)#1152.0(+264)#404
12.58058316.065.0(+251)#1252.0(+264)#405
13.58046304.065.0(+239)#1352.0(+252)#436
14.58377296.065.0(+231)#1452.0(+244)#464
15.58063292.065.0(+227)#1552.0(+240)#475
16.58445286.065.0(+221)#1652.0(+234)#501
17.58727273.065.0(+208)#1752.0(+221)#546
18.58067268.065.0(+203)#1852.0(+216)#565
19.58645261.065.0(+196)#1952.0(+209)#592
20.58418254.065.0(+189)#2052.0(+202)#627
21.58847250.065.0(+185)#2152.0(+198)#641
22.58650237.065.0(+172)#2252.0(+185)#716
23.58015234.065.0(+169)#2352.0(+182)#733
24.58241230.065.0(+165)#2452.0(+178)#762
25.58755230.065.0(+165)#2552.0(+178)#763
26.58490222.065.0(+157)#2652.0(+170)#805
27.58451222.065.0(+157)#2752.0(+170)#810
28.58736212.065.0(+147)#2852.0(+160)#854
29.58227206.065.0(+141)#2952.0(+154)#902
30.58784199.065.0(+134)#3052.0(+147)#980
31.58772194.065.0(+129)#3152.0(+142)#1,052
32.58549192.065.0(+127)#3252.0(+140)#1,069
33.58030186.065.0(+121)#3352.0(+134)#1,138
34.58335185.065.0(+120)#3452.0(+133)#1,143
35.58758178.065.0(+113)#3552.0(+126)#1,227
36.58631176.065.0(+111)#3652.0(+124)#1,248
37.58274174.065.0(+109)#3752.0(+122)#1,285
38.58544167.065.0(+102)#3852.0(+115)#1,411
39.58788165.065.0(+100.0)#3952.0(+113)#1,453
40.58838164.065.0(+99.0)#4052.0(+112)#1,469
41.58785158.065.0(+93.0)#4152.0(+106)#1,572
42.58853155.065.0(+90.0)#4252.0(+103)#1,633
43.58566154.065.0(+89.0)#4352.0(+102)#1,652
44.58852145.065.0(+80.0)#4452.0(+93.0)#1,834
45.58487144.065.0(+79.0)#4552.0(+92.0)#1,874
46.58081143.065.0(+78.0)#4652.0(+91.0)#1,897
47.58027141.065.0(+76.0)#4752.0(+89.0)#1,947
48.58845141.065.0(+76.0)#4852.0(+89.0)#1,951
49.58346141.065.0(+76.0)#4952.0(+89.0)#1,952
50.58324140.065.0(+75.0)#5052.0(+88.0)#1,969
51.58374140.065.0(+75.0)#5152.0(+88.0)#1,978
52.58012139.065.0(+74.0)#5252.0(+87.0)#2,002
53.58456137.065.0(+72.0)#5352.0(+85.0)#2,077
54.58775136.065.0(+71.0)#5452.0(+84.0)#2,116
55.58001135.065.0(+70.0)#5552.0(+83.0)#2,156
56.58204133.065.0(+68.0)#5652.0(+81.0)#2,204
57.58237132.065.0(+67.0)#5752.0(+80.0)#2,230
58.58576130.065.0(+65.0)#5852.0(+78.0)#2,299
59.58639126.065.0(+61.0)#5952.0(+74.0)#2,459
60.58051124.065.0(+59.0)#6052.0(+72.0)#2,551
61.58577124.065.0(+59.0)#6152.0(+72.0)#2,552
62.58472123.065.0(+58.0)#6252.0(+71.0)#2,614
63.58642122.065.0(+57.0)#6352.0(+70.0)#2,655
64.58538118.065.0(+53.0)#6452.0(+66.0)#2,809
65.58461117.065.0(+52.0)#6552.0(+65.0)#2,886
66.58041115.065.0(+50.0)#6652.0(+63.0)#2,967
67.58768115.065.0(+50.0)#6752.0(+63.0)#2,986
68.58069111.065.0(+46.0)#6852.0(+59.0)#3,214
69.58238111.065.0(+46.0)#6952.0(+59.0)#3,215
70.58704110.065.0(+45.0)#7052.0(+58.0)#3,239
71.58256109.065.0(+44.0)#7152.0(+57.0)#3,313
72.58341108.065.0(+43.0)#7252.0(+56.0)#3,367
73.58646108.065.0(+43.0)#7352.0(+56.0)#3,379
74.58561107.065.0(+42.0)#7452.0(+55.0)#3,449
75.58455107.065.0(+42.0)#7552.0(+55.0)#3,460
76.58348106.065.0(+41.0)#7652.0(+54.0)#3,526
77.58541106.065.0(+41.0)#7752.0(+54.0)#3,528
78.58261105.065.0(+40.0)#7852.0(+53.0)#3,581
79.58849104.065.0(+39.0)#7952.0(+52.0)#3,642
80.58533104.065.0(+39.0)#8052.0(+52.0)#3,646
81.58790103.065.0(+38.0)#8152.0(+51.0)#3,721
82.58647103.065.0(+38.0)#8252.0(+51.0)#3,722
83.58757103.065.0(+38.0)#8352.0(+51.0)#3,725
84.58357103.065.0(+38.0)#8452.0(+51.0)#3,738
85.58464103.065.0(+38.0)#8552.0(+51.0)#3,746
86.58318100.065.0(+35.0)#8652.0(+48.0)#3,911
87.58759100.065.0(+35.0)#8752.0(+48.0)#3,952
88.58230100.065.0(+35.0)#8852.0(+48.0)#3,955
89.58424100.065.0(+35.0)#8952.0(+48.0)#3,958
90.58210100.065.0(+35.0)#9052.0(+48.0)#3,970
91.5852399.065.0(+34.0)#9152.0(+47.0)#4,015
92.5874099.065.0(+34.0)#9252.0(+47.0)#4,047
93.5825999.065.0(+34.0)#9352.0(+47.0)#4,052
94.5863698.065.0(+33.0)#9452.0(+46.0)#4,113
95.5873596.065.0(+31.0)#9552.0(+44.0)#4,305
96.5850194.065.0(+29.0)#9652.0(+42.0)#4,415
97.5855293.065.0(+28.0)#9752.0(+41.0)#4,557
98.5806492.065.0(+27.0)#9852.0(+40.0)#4,674
99.5822991.065.0(+26.0)#9952.0(+39.0)#4,791
100.5807590.065.0(+25.0)#10052.0(+38.0)#4,826

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in North Dakota?
Top 10 Zip Codes with the Most Births per 1,000 Women in North Dakota are:
#1
733.0
#2
667.0
#3
563.0
#4
471.0
#5
467.0
#6
462.0
#7
413.0
#8
390.0
#9
357.0
#10
350.0
What zip code has the Most Births per 1,000 Women in North Dakota?
58488 has the Most Births per 1,000 Women in North Dakota with 733.0.
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.