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

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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 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 Minneapolis

12.0
106.0
Zip Codes with the Most Births per 1,000 Women in Minneapolis Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 55437 106.0 57.0 (+49.0)#104 52.0 (+54.0)#3,472
2. 55445 102.0 57.0 (+45.0)#116 52.0 (+50.0)#3,753
3. 55429 94.0 57.0 (+37.0)#139 52.0 (+42.0)#4,416
4. 55443 85.0 57.0 (+28.0)#186 52.0 (+33.0)#5,355
5. 55415 82.0 57.0 (+25.0)#202 52.0 (+30.0)#5,806
6. 55430 81.0 57.0 (+24.0)#208 52.0 (+29.0)#5,922
7. 55454 79.0 57.0 (+22.0)#218 52.0 (+27.0)#6,277
8. 55433 76.0 57.0 (+19.0)#232 52.0 (+24.0)#6,718
9. 55410 76.0 57.0 (+19.0)#233 52.0 (+24.0)#6,736
10. 55435 75.0 57.0 (+18.0)#237 52.0 (+23.0)#6,912
11. 55447 72.0 57.0 (+15.0)#261 52.0 (+20.0)#7,487
12. 55426 71.0 57.0 (+14.0)#270 52.0 (+19.0)#7,683
13. 55434 70.0 57.0 (+13.0)#279 52.0 (+18.0)#7,874
14. 55449 66.0 57.0 (+9.00)#318 52.0 (+14.0)#8,765
15. 55418 66.0 57.0 (+9.00)#319 52.0 (+14.0)#8,769
16. 55411 64.0 57.0 (+7.00)#341 52.0 (+12.0)#9,277
17. 55417 64.0 57.0 (+7.00)#342 52.0 (+12.0)#9,292
18. 55419 61.0 57.0 (+4.00)#365 52.0 (+9.00)#10,098
19. 55406 59.0 57.0 (+2.00)#382 52.0 (+7.00)#10,675
20. 55421 58.0 57.0 (+1.000)#392 52.0 (+6.00)#10,984
21. 55407 57.0 57.0 (=0.000)#398 52.0 (+5.00)#11,277
22. 55431 57.0 57.0 (=0.000)#403 52.0 (+5.00)#11,360
23. 55446 52.0 57.0 (-5.00)#445 52.0 (=0.000)#12,900
24. 55422 51.0 57.0 (-6.00)#458 52.0 (-1.000)#13,213
25. 55441 51.0 57.0 (-6.00)#461 52.0 (-1.000)#13,260
26. 55412 50.0 57.0 (-7.00)#468 52.0 (-2.00)#13,577
27. 55427 48.0 57.0 (-9.00)#491 52.0 (-4.00)#14,272
28. 55428 46.0 57.0 (-11.0)#508 52.0 (-6.00)#14,919
29. 55404 44.0 57.0 (-13.0)#524 52.0 (-8.00)#15,679
30. 55401 44.0 57.0 (-13.0)#527 52.0 (-8.00)#15,774
31. 55425 44.0 57.0 (-13.0)#529 52.0 (-8.00)#15,780
32. 55416 42.0 57.0 (-15.0)#547 52.0 (-10.00)#16,362
33. 55432 42.0 57.0 (-15.0)#548 52.0 (-10.00)#16,367
34. 55424 41.0 57.0 (-16.0)#560 52.0 (-11.0)#16,838
35. 55442 40.0 57.0 (-17.0)#570 52.0 (-12.0)#17,155
36. 55413 39.0 57.0 (-18.0)#575 52.0 (-13.0)#17,495
37. 55439 39.0 57.0 (-18.0)#576 52.0 (-13.0)#17,535
38. 55448 38.0 57.0 (-19.0)#590 52.0 (-14.0)#17,779
39. 55423 35.0 57.0 (-22.0)#624 52.0 (-17.0)#18,784
40. 55438 34.0 57.0 (-23.0)#633 52.0 (-18.0)#19,149
41. 55444 32.0 57.0 (-25.0)#651 52.0 (-20.0)#19,799
42. 55405 30.0 57.0 (-27.0)#671 52.0 (-22.0)#20,412
43. 55420 29.0 57.0 (-28.0)#681 52.0 (-23.0)#20,678
44. 55408 22.0 57.0 (-35.0)#723 52.0 (-30.0)#22,482
45. 55436 22.0 57.0 (-35.0)#724 52.0 (-30.0)#22,525
46. 55409 19.0 57.0 (-38.0)#740 52.0 (-33.0)#23,257
47. 55403 13.0 57.0 (-44.0)#768 52.0 (-39.0)#24,318
48. 55414 12.0 57.0 (-45.0)#773 52.0 (-40.0)#24,468

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Minneapolis, MN?
Top 10 Zip Codes with the Most Births per 1,000 Women in Minneapolis, MN are:
#1
106.0
#2
102.0
#3
94.0
#4
85.0
#5
82.0
#6
81.0
#7
79.0
#8
76.0
#9
76.0
#10
75.0
What zip code has the Most Births per 1,000 Women in Minneapolis, MN?
55437 has the Most Births per 1,000 Women in Minneapolis, MN with 106.0.
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.