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

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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 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 Lowest Births per 1,000 Women in Labor Force in Minneapolis

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

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

Zip Code Births / 1,000 Women vs State vs National
1.5540911.054.0(-43.0)#1848.0(-37.0)#862
2.5540312.054.0(-42.0)#2548.0(-36.0)#1,016
3.5540813.054.0(-41.0)#3248.0(-35.0)#1,168
4.5541414.054.0(-40.0)#3548.0(-34.0)#1,354
5.5542021.054.0(-33.0)#6848.0(-27.0)#2,849
6.5542522.054.0(-32.0)#7748.0(-26.0)#3,159
7.5543825.054.0(-29.0)#10348.0(-23.0)#3,961
8.5543627.054.0(-27.0)#11548.0(-21.0)#4,566
9.5540531.054.0(-23.0)#14248.0(-17.0)#5,726
10.5543232.054.0(-22.0)#14948.0(-16.0)#5,959
11.5542335.054.0(-19.0)#17448.0(-13.0)#6,916
12.5544235.054.0(-19.0)#17748.0(-13.0)#7,008
13.5540436.054.0(-18.0)#18648.0(-12.0)#7,239
14.5541339.054.0(-15.0)#21248.0(-9.00)#8,323
15.5544840.054.0(-14.0)#22048.0(-8.00)#8,543
16.5540741.054.0(-13.0)#23448.0(-7.00)#8,861
17.5544441.054.0(-13.0)#23748.0(-7.00)#8,958
18.5540141.054.0(-13.0)#23948.0(-7.00)#8,992
19.5542842.054.0(-12.0)#24748.0(-6.00)#9,218
20.5542244.054.0(-10.00)#26748.0(-4.00)#9,911
21.5541645.054.0(-9.00)#27248.0(-3.00)#10,174
22.5542748.054.0(-6.00)#30248.0(=0.000)#11,145
23.5543148.054.0(-6.00)#30348.0(=0.000)#11,171
24.5543952.054.0(-2.00)#34748.0(+4.00)#12,400
25.5543354.054.0(=0.000)#36148.0(+6.00)#12,859
26.5544654.054.0(=0.000)#36248.0(+6.00)#12,880
27.5543556.054.0(+2.00)#38548.0(+8.00)#13,498
28.5542458.054.0(+4.00)#40048.0(+10.00)#14,012
29.5542159.054.0(+5.00)#40848.0(+11.0)#14,174
30.5544159.054.0(+5.00)#41048.0(+11.0)#14,219
31.5540660.054.0(+6.00)#42048.0(+12.0)#14,397
32.5544961.054.0(+7.00)#42648.0(+13.0)#14,602
33.5541865.054.0(+11.0)#45848.0(+17.0)#15,485
34.5541265.054.0(+11.0)#45948.0(+17.0)#15,498
35.5541966.054.0(+12.0)#47148.0(+18.0)#15,699
36.5543467.054.0(+13.0)#48048.0(+19.0)#15,871
37.5544768.054.0(+14.0)#48848.0(+20.0)#16,107
38.5541769.054.0(+15.0)#49448.0(+21.0)#16,282
39.5541069.054.0(+15.0)#49548.0(+21.0)#16,297
40.5541170.054.0(+16.0)#50648.0(+22.0)#16,469
41.5542670.054.0(+16.0)#50848.0(+22.0)#16,483
42.5543070.054.0(+16.0)#50948.0(+22.0)#16,485
43.5545470.054.0(+16.0)#51048.0(+22.0)#16,521
44.5544575.054.0(+21.0)#54648.0(+27.0)#17,293
45.5541576.054.0(+22.0)#55048.0(+28.0)#17,458
46.5544379.054.0(+25.0)#56648.0(+31.0)#17,797
47.5543785.054.0(+31.0)#59948.0(+37.0)#18,487
48.5542986.054.0(+32.0)#60248.0(+38.0)#18,574

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN are:
#1
11.0
#2
12.0
#3
13.0
#4
14.0
#5
21.0
#6
22.0
#7
25.0
#8
27.0
#9
31.0
#10
32.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN?
55409 has the Lowest Births per 1,000 Women in Labor Force in Minneapolis, MN with 11.0.
What is the Number Births per 1,000 Women in Labor Force in Minneapolis, MN?
Number Births per 1,000 Women in Labor Force in Minneapolis is 42.0.
What is the Number Births per 1,000 Women in Labor Force in Minnesota?
Number Births per 1,000 Women in Labor Force in Minnesota is 54.0.
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.