Zip Codes with the Most Births per 1,000 Women in Labor Force in Minneapolis, MN

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Highest Birth Rate | In Labor Force
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 Most Births per 1,000 Women in Labor Force in Minneapolis

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Zip Codes with the Most Births per 1,000 Women in Labor Force in Minneapolis Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Minneapolis, MN

Zip Code Births / 1,000 Women vs State vs National
1.5542986.054.0(+32.0)#15848.0(+38.0)#4,592
2.5543785.054.0(+31.0)#16448.0(+37.0)#4,707
3.5544379.054.0(+25.0)#19248.0(+31.0)#5,365
4.5541576.054.0(+22.0)#21048.0(+28.0)#5,820
5.5544575.054.0(+21.0)#21848.0(+27.0)#5,918
6.5541170.054.0(+16.0)#25048.0(+22.0)#6,680
7.5542670.054.0(+16.0)#25248.0(+22.0)#6,694
8.5543070.054.0(+16.0)#25348.0(+22.0)#6,696
9.5545470.054.0(+16.0)#25448.0(+22.0)#6,732
10.5541769.054.0(+15.0)#26148.0(+21.0)#6,861
11.5541069.054.0(+15.0)#26248.0(+21.0)#6,876
12.5544768.054.0(+14.0)#27548.0(+20.0)#7,083
13.5543467.054.0(+13.0)#28048.0(+19.0)#7,242
14.5541966.054.0(+12.0)#28748.0(+18.0)#7,445
15.5541865.054.0(+11.0)#29648.0(+17.0)#7,633
16.5541265.054.0(+11.0)#29748.0(+17.0)#7,646
17.5544961.054.0(+7.00)#33148.0(+13.0)#8,521
18.5540660.054.0(+6.00)#34048.0(+12.0)#8,725
19.5542159.054.0(+5.00)#34648.0(+11.0)#8,947
20.5544159.054.0(+5.00)#34848.0(+11.0)#8,992
21.5542458.054.0(+4.00)#36248.0(+10.00)#9,271
22.5543556.054.0(+2.00)#37948.0(+8.00)#9,735
23.5543354.054.0(=0.000)#39548.0(+6.00)#10,232
24.5544654.054.0(=0.000)#39648.0(+6.00)#10,253
25.5543952.054.0(-2.00)#41648.0(+4.00)#10,893
26.5542748.054.0(-6.00)#45248.0(=0.000)#11,983
27.5543148.054.0(-6.00)#45348.0(=0.000)#12,009
28.5541645.054.0(-9.00)#48448.0(-3.00)#12,857
29.5542244.054.0(-10.00)#49448.0(-4.00)#13,232
30.5542842.054.0(-12.0)#50948.0(-6.00)#13,853
31.5540741.054.0(-13.0)#52148.0(-7.00)#14,176
32.5544441.054.0(-13.0)#52448.0(-7.00)#14,273
33.5540141.054.0(-13.0)#52648.0(-7.00)#14,307
34.5544840.054.0(-14.0)#53648.0(-8.00)#14,536
35.5541339.054.0(-15.0)#54848.0(-9.00)#14,977
36.5540436.054.0(-18.0)#57448.0(-12.0)#15,869
37.5542335.054.0(-19.0)#58148.0(-13.0)#16,140
38.5544235.054.0(-19.0)#58448.0(-13.0)#16,232
39.5543232.054.0(-22.0)#60848.0(-16.0)#17,083
40.5540531.054.0(-23.0)#61848.0(-17.0)#17,483
41.5543627.054.0(-27.0)#64548.0(-21.0)#18,646
42.5543825.054.0(-29.0)#66048.0(-23.0)#19,215
43.5542522.054.0(-32.0)#67948.0(-26.0)#20,042
44.5542021.054.0(-33.0)#68948.0(-27.0)#20,246
45.5541414.054.0(-40.0)#72848.0(-34.0)#21,732
46.5540813.054.0(-41.0)#73148.0(-35.0)#21,920
47.5540312.054.0(-42.0)#73448.0(-36.0)#22,122
48.5540911.054.0(-43.0)#74148.0(-37.0)#22,293

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Minneapolis, MN?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Minneapolis, MN are:
#1
86.0
#2
85.0
#3
79.0
#4
76.0
#5
75.0
#6
70.0
#7
70.0
#8
70.0
#9
70.0
#10
69.0
What zip code has the Most Births per 1,000 Women in Labor Force in Minneapolis, MN?
55429 has the Most Births per 1,000 Women in Labor Force in Minneapolis, MN with 86.0.
What is the Number of Births per 1,000 Women in Labor Force in Minneapolis, MN?
Number of Births per 1,000 Women in Labor Force in Minneapolis is 42.0.
What is the Number of Births per 1,000 Women in Labor Force in Minnesota?
Number of Births per 1,000 Women in Labor Force in Minnesota is 54.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.