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

106.0
12.0
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. 55414 12.0 57.0 (-45.0)#18 52.0 (-40.0)#906
2. 55403 13.0 57.0 (-44.0)#22 52.0 (-39.0)#1,057
3. 55409 19.0 57.0 (-38.0)#53 52.0 (-33.0)#2,147
4. 55408 22.0 57.0 (-35.0)#66 52.0 (-30.0)#2,804
5. 55436 22.0 57.0 (-35.0)#67 52.0 (-30.0)#2,847
6. 55420 29.0 57.0 (-28.0)#110 52.0 (-23.0)#4,688
7. 55405 30.0 57.0 (-27.0)#114 52.0 (-22.0)#4,997
8. 55444 32.0 57.0 (-25.0)#137 52.0 (-20.0)#5,605
9. 55438 34.0 57.0 (-23.0)#155 52.0 (-18.0)#6,251
10. 55423 35.0 57.0 (-22.0)#164 52.0 (-17.0)#6,508
11. 55448 38.0 57.0 (-19.0)#195 52.0 (-14.0)#7,525
12. 55413 39.0 57.0 (-18.0)#207 52.0 (-13.0)#7,971
13. 55439 39.0 57.0 (-18.0)#208 52.0 (-13.0)#8,011
14. 55442 40.0 57.0 (-17.0)#225 52.0 (-12.0)#8,327
15. 55424 41.0 57.0 (-16.0)#231 52.0 (-11.0)#8,694
16. 55416 42.0 57.0 (-15.0)#238 52.0 (-10.00)#8,925
17. 55432 42.0 57.0 (-15.0)#239 52.0 (-10.00)#8,930
18. 55404 44.0 57.0 (-13.0)#261 52.0 (-8.00)#9,658
19. 55401 44.0 57.0 (-13.0)#264 52.0 (-8.00)#9,753
20. 55425 44.0 57.0 (-13.0)#266 52.0 (-8.00)#9,759
21. 55428 46.0 57.0 (-11.0)#281 52.0 (-6.00)#10,375
22. 55427 48.0 57.0 (-9.00)#299 52.0 (-4.00)#11,110
23. 55412 50.0 57.0 (-7.00)#317 52.0 (-2.00)#11,808
24. 55422 51.0 57.0 (-6.00)#328 52.0 (-1.000)#12,137
25. 55441 51.0 57.0 (-6.00)#331 52.0 (-1.000)#12,184
26. 55446 52.0 57.0 (-5.00)#338 52.0 (=0.000)#12,492
27. 55407 57.0 57.0 (=0.000)#386 52.0 (+5.00)#14,036
28. 55431 57.0 57.0 (=0.000)#391 52.0 (+5.00)#14,119
29. 55421 58.0 57.0 (+1.000)#397 52.0 (+6.00)#14,363
30. 55406 59.0 57.0 (+2.00)#403 52.0 (+7.00)#14,658
31. 55419 61.0 57.0 (+4.00)#419 52.0 (+9.00)#15,274
32. 55411 64.0 57.0 (+7.00)#446 52.0 (+12.0)#16,069
33. 55417 64.0 57.0 (+7.00)#447 52.0 (+12.0)#16,084
34. 55449 66.0 57.0 (+9.00)#466 52.0 (+14.0)#16,585
35. 55418 66.0 57.0 (+9.00)#467 52.0 (+14.0)#16,589
36. 55434 70.0 57.0 (+13.0)#512 52.0 (+18.0)#17,491
37. 55426 71.0 57.0 (+14.0)#517 52.0 (+19.0)#17,720
38. 55447 72.0 57.0 (+15.0)#528 52.0 (+20.0)#17,944
39. 55435 75.0 57.0 (+18.0)#548 52.0 (+23.0)#18,535
40. 55433 76.0 57.0 (+19.0)#558 52.0 (+24.0)#18,671
41. 55410 76.0 57.0 (+19.0)#559 52.0 (+24.0)#18,689
42. 55454 79.0 57.0 (+22.0)#575 52.0 (+27.0)#19,222
43. 55430 81.0 57.0 (+24.0)#580 52.0 (+29.0)#19,495
44. 55415 82.0 57.0 (+25.0)#587 52.0 (+30.0)#19,693
45. 55443 85.0 57.0 (+28.0)#604 52.0 (+33.0)#20,041
46. 55429 94.0 57.0 (+37.0)#650 52.0 (+42.0)#21,014
47. 55445 102.0 57.0 (+45.0)#676 52.0 (+50.0)#21,697
48. 55437 106.0 57.0 (+49.0)#685 52.0 (+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.