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

11.0
86.0
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. 55429 86.0 54.0 (+32.0)#158 48.0 (+38.0)#4,592
2. 55437 85.0 54.0 (+31.0)#164 48.0 (+37.0)#4,707
3. 55443 79.0 54.0 (+25.0)#192 48.0 (+31.0)#5,365
4. 55415 76.0 54.0 (+22.0)#210 48.0 (+28.0)#5,820
5. 55445 75.0 54.0 (+21.0)#218 48.0 (+27.0)#5,918
6. 55411 70.0 54.0 (+16.0)#250 48.0 (+22.0)#6,680
7. 55426 70.0 54.0 (+16.0)#252 48.0 (+22.0)#6,694
8. 55430 70.0 54.0 (+16.0)#253 48.0 (+22.0)#6,696
9. 55454 70.0 54.0 (+16.0)#254 48.0 (+22.0)#6,732
10. 55417 69.0 54.0 (+15.0)#261 48.0 (+21.0)#6,861
11. 55410 69.0 54.0 (+15.0)#262 48.0 (+21.0)#6,876
12. 55447 68.0 54.0 (+14.0)#275 48.0 (+20.0)#7,083
13. 55434 67.0 54.0 (+13.0)#280 48.0 (+19.0)#7,242
14. 55419 66.0 54.0 (+12.0)#287 48.0 (+18.0)#7,445
15. 55418 65.0 54.0 (+11.0)#296 48.0 (+17.0)#7,633
16. 55412 65.0 54.0 (+11.0)#297 48.0 (+17.0)#7,646
17. 55449 61.0 54.0 (+7.00)#331 48.0 (+13.0)#8,521
18. 55406 60.0 54.0 (+6.00)#340 48.0 (+12.0)#8,725
19. 55421 59.0 54.0 (+5.00)#346 48.0 (+11.0)#8,947
20. 55441 59.0 54.0 (+5.00)#348 48.0 (+11.0)#8,992
21. 55424 58.0 54.0 (+4.00)#362 48.0 (+10.00)#9,271
22. 55435 56.0 54.0 (+2.00)#379 48.0 (+8.00)#9,735
23. 55433 54.0 54.0 (=0.000)#395 48.0 (+6.00)#10,232
24. 55446 54.0 54.0 (=0.000)#396 48.0 (+6.00)#10,253
25. 55439 52.0 54.0 (-2.00)#416 48.0 (+4.00)#10,893
26. 55427 48.0 54.0 (-6.00)#452 48.0 (=0.000)#11,983
27. 55431 48.0 54.0 (-6.00)#453 48.0 (=0.000)#12,009
28. 55416 45.0 54.0 (-9.00)#484 48.0 (-3.00)#12,857
29. 55422 44.0 54.0 (-10.00)#494 48.0 (-4.00)#13,232
30. 55428 42.0 54.0 (-12.0)#509 48.0 (-6.00)#13,853
31. 55407 41.0 54.0 (-13.0)#521 48.0 (-7.00)#14,176
32. 55444 41.0 54.0 (-13.0)#524 48.0 (-7.00)#14,273
33. 55401 41.0 54.0 (-13.0)#526 48.0 (-7.00)#14,307
34. 55448 40.0 54.0 (-14.0)#536 48.0 (-8.00)#14,536
35. 55413 39.0 54.0 (-15.0)#548 48.0 (-9.00)#14,977
36. 55404 36.0 54.0 (-18.0)#574 48.0 (-12.0)#15,869
37. 55423 35.0 54.0 (-19.0)#581 48.0 (-13.0)#16,140
38. 55442 35.0 54.0 (-19.0)#584 48.0 (-13.0)#16,232
39. 55432 32.0 54.0 (-22.0)#608 48.0 (-16.0)#17,083
40. 55405 31.0 54.0 (-23.0)#618 48.0 (-17.0)#17,483
41. 55436 27.0 54.0 (-27.0)#645 48.0 (-21.0)#18,646
42. 55438 25.0 54.0 (-29.0)#660 48.0 (-23.0)#19,215
43. 55425 22.0 54.0 (-32.0)#679 48.0 (-26.0)#20,042
44. 55420 21.0 54.0 (-33.0)#689 48.0 (-27.0)#20,246
45. 55414 14.0 54.0 (-40.0)#728 48.0 (-34.0)#21,732
46. 55408 13.0 54.0 (-41.0)#731 48.0 (-35.0)#21,920
47. 55403 12.0 54.0 (-42.0)#734 48.0 (-36.0)#22,122
48. 55409 11.0 54.0 (-43.0)#741 48.0 (-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.