Zip Codes with the Fewest Births per 1,000 Women in Minneapolis, MN

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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 NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
Minneapolis
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women in Minneapolis

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Zip Codes with the Fewest Births per 1,000 Women in Minneapolis Map

Zip Codes with the Fewest Births per 1,000 Women in Minneapolis, MN

Zip Code Births / 1,000 Women vs State vs National
1.5541412.057.0(-45.0)#1852.0(-40.0)#906
2.5540313.057.0(-44.0)#2252.0(-39.0)#1,057
3.5540919.057.0(-38.0)#5352.0(-33.0)#2,147
4.5540822.057.0(-35.0)#6652.0(-30.0)#2,804
5.5543622.057.0(-35.0)#6752.0(-30.0)#2,847
6.5542029.057.0(-28.0)#11052.0(-23.0)#4,688
7.5540530.057.0(-27.0)#11452.0(-22.0)#4,997
8.5544432.057.0(-25.0)#13752.0(-20.0)#5,605
9.5543834.057.0(-23.0)#15552.0(-18.0)#6,251
10.5542335.057.0(-22.0)#16452.0(-17.0)#6,508
11.5544838.057.0(-19.0)#19552.0(-14.0)#7,525
12.5541339.057.0(-18.0)#20752.0(-13.0)#7,971
13.5543939.057.0(-18.0)#20852.0(-13.0)#8,011
14.5544240.057.0(-17.0)#22552.0(-12.0)#8,327
15.5542441.057.0(-16.0)#23152.0(-11.0)#8,694
16.5541642.057.0(-15.0)#23852.0(-10.00)#8,925
17.5543242.057.0(-15.0)#23952.0(-10.00)#8,930
18.5540444.057.0(-13.0)#26152.0(-8.00)#9,658
19.5540144.057.0(-13.0)#26452.0(-8.00)#9,753
20.5542544.057.0(-13.0)#26652.0(-8.00)#9,759
21.5542846.057.0(-11.0)#28152.0(-6.00)#10,375
22.5542748.057.0(-9.00)#29952.0(-4.00)#11,110
23.5541250.057.0(-7.00)#31752.0(-2.00)#11,808
24.5542251.057.0(-6.00)#32852.0(-1.000)#12,137
25.5544151.057.0(-6.00)#33152.0(-1.000)#12,184
26.5544652.057.0(-5.00)#33852.0(=0.000)#12,492
27.5540757.057.0(=0.000)#38652.0(+5.00)#14,036
28.5543157.057.0(=0.000)#39152.0(+5.00)#14,119
29.5542158.057.0(+1.000)#39752.0(+6.00)#14,363
30.5540659.057.0(+2.00)#40352.0(+7.00)#14,658
31.5541961.057.0(+4.00)#41952.0(+9.00)#15,274
32.5541164.057.0(+7.00)#44652.0(+12.0)#16,069
33.5541764.057.0(+7.00)#44752.0(+12.0)#16,084
34.5544966.057.0(+9.00)#46652.0(+14.0)#16,585
35.5541866.057.0(+9.00)#46752.0(+14.0)#16,589
36.5543470.057.0(+13.0)#51252.0(+18.0)#17,491
37.5542671.057.0(+14.0)#51752.0(+19.0)#17,720
38.5544772.057.0(+15.0)#52852.0(+20.0)#17,944
39.5543575.057.0(+18.0)#54852.0(+23.0)#18,535
40.5543376.057.0(+19.0)#55852.0(+24.0)#18,671
41.5541076.057.0(+19.0)#55952.0(+24.0)#18,689
42.5545479.057.0(+22.0)#57552.0(+27.0)#19,222
43.5543081.057.0(+24.0)#58052.0(+29.0)#19,495
44.5541582.057.0(+25.0)#58752.0(+30.0)#19,693
45.5544385.057.0(+28.0)#60452.0(+33.0)#20,041
46.5542994.057.0(+37.0)#65052.0(+42.0)#21,014
47.55445102.057.0(+45.0)#67652.0(+50.0)#21,697
48.55437106.057.0(+49.0)#68552.0(+54.0)#21,984

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in Minneapolis, MN?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in Minneapolis, MN are:
#1
12.0
#2
13.0
#3
19.0
#4
22.0
#5
22.0
#6
29.0
#7
30.0
#8
32.0
#9
34.0
#10
35.0
What zip code has the Fewest Births per 1,000 Women in Minneapolis, MN?
55414 has the Fewest Births per 1,000 Women in Minneapolis, MN with 12.0.
What is the Number of Births per 1,000 Women in Minneapolis, MN?
Number of Births per 1,000 Women in Minneapolis is 43.0.
What is the Number of Births per 1,000 Women in Minnesota?
Number of Births per 1,000 Women in Minnesota is 57.0.
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.