Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN

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Highest Birth Rate | Women 35+
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
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Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis

4.0
143.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN

Zip Code Births / 1,000 Women vs State vs National
1. 55415 143.0 35.0 (+108)#23 32.0 (+111)#862
2. 55454 99.0 35.0 (+64.0)#44 32.0 (+67.0)#1,567
3. 55437 92.0 35.0 (+57.0)#51 32.0 (+60.0)#1,759
4. 55426 79.0 35.0 (+44.0)#63 32.0 (+47.0)#2,268
5. 55405 79.0 35.0 (+44.0)#65 32.0 (+47.0)#2,272
6. 55401 77.0 35.0 (+42.0)#67 32.0 (+45.0)#2,373
7. 55410 71.0 35.0 (+36.0)#81 32.0 (+39.0)#2,723
8. 55445 71.0 35.0 (+36.0)#82 32.0 (+39.0)#2,730
9. 55407 66.0 35.0 (+31.0)#95 32.0 (+34.0)#3,098
10. 55449 65.0 35.0 (+30.0)#96 32.0 (+33.0)#3,180
11. 55434 63.0 35.0 (+28.0)#106 32.0 (+31.0)#3,359
12. 55414 61.0 35.0 (+26.0)#111 32.0 (+29.0)#3,556
13. 55416 59.0 35.0 (+24.0)#117 32.0 (+27.0)#3,741
14. 55418 57.0 35.0 (+22.0)#128 32.0 (+25.0)#3,976
15. 55446 53.0 35.0 (+18.0)#149 32.0 (+21.0)#4,462
16. 55411 50.0 35.0 (+15.0)#164 32.0 (+18.0)#4,860
17. 55422 47.0 35.0 (+12.0)#176 32.0 (+15.0)#5,359
18. 55431 47.0 35.0 (+12.0)#178 32.0 (+15.0)#5,380
19. 55406 45.0 35.0 (+10.00)#187 32.0 (+13.0)#5,677
20. 55447 45.0 35.0 (+10.00)#189 32.0 (+13.0)#5,708
21. 55432 44.0 35.0 (+9.00)#197 32.0 (+12.0)#5,888
22. 55424 43.0 35.0 (+8.00)#201 32.0 (+11.0)#6,124
23. 55439 43.0 35.0 (+8.00)#202 32.0 (+11.0)#6,128
24. 55430 41.0 35.0 (+6.00)#214 32.0 (+9.00)#6,536
25. 55419 40.0 35.0 (+5.00)#219 32.0 (+8.00)#6,735
26. 55413 40.0 35.0 (+5.00)#220 32.0 (+8.00)#6,793
27. 55429 37.0 35.0 (+2.00)#238 32.0 (+5.00)#7,382
28. 55417 37.0 35.0 (+2.00)#239 32.0 (+5.00)#7,393
29. 55438 37.0 35.0 (+2.00)#242 32.0 (+5.00)#7,429
30. 55443 32.0 35.0 (-3.00)#281 32.0 (=0.000)#8,668
31. 55428 31.0 35.0 (-4.00)#295 32.0 (-1.000)#8,940
32. 55421 30.0 35.0 (-5.00)#305 32.0 (-2.00)#9,237
33. 55441 29.0 35.0 (-6.00)#313 32.0 (-3.00)#9,592
34. 55442 28.0 35.0 (-7.00)#321 32.0 (-4.00)#9,903
35. 55423 24.0 35.0 (-11.0)#373 32.0 (-8.00)#11,012
36. 55427 24.0 35.0 (-11.0)#374 32.0 (-8.00)#11,062
37. 55436 23.0 35.0 (-12.0)#387 32.0 (-9.00)#11,415
38. 55444 22.0 35.0 (-13.0)#400 32.0 (-10.00)#11,696
39. 55433 20.0 35.0 (-15.0)#414 32.0 (-12.0)#12,246
40. 55412 19.0 35.0 (-16.0)#424 32.0 (-13.0)#12,585
41. 55448 16.0 35.0 (-19.0)#461 32.0 (-16.0)#13,488
42. 55409 15.0 35.0 (-20.0)#472 32.0 (-17.0)#13,870
43. 55403 12.0 35.0 (-23.0)#504 32.0 (-20.0)#14,730
44. 55408 10.0 35.0 (-25.0)#524 32.0 (-22.0)#15,240
45. 55404 10.0 35.0 (-25.0)#525 32.0 (-22.0)#15,256
46. 55420 4.0 35.0 (-31.0)#569 32.0 (-28.0)#16,658

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN are:
#1
143.0
#2
99.0
#3
92.0
#4
79.0
#5
79.0
#6
77.0
#7
71.0
#8
71.0
#9
66.0
#10
65.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN?
55415 has the Most Births per 1,000 Women Over the Age of 35 in Minneapolis, MN with 143.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in Minneapolis, MN?
Number of Births per 1,000 Women Over the Age of 35 in Minneapolis is 44.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in Minnesota?
Number of Births per 1,000 Women Over the Age of 35 in Minnesota is 35.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.