Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN

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Lowest Birth Rate | Below Poverty
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 Below Poverty Level in Minneapolis

106.0
13.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN

Zip Code Births / 1,000 Women vs State vs National
1. 55414 13.0 58.0 (-45.0)#21 53.0 (-40.0)#977
2. 55403 13.0 58.0 (-45.0)#22 53.0 (-40.0)#986
3. 55409 19.0 58.0 (-39.0)#53 53.0 (-34.0)#2,049
4. 55408 22.0 58.0 (-36.0)#64 53.0 (-31.0)#2,668
5. 55436 22.0 58.0 (-36.0)#65 53.0 (-31.0)#2,707
6. 55420 29.0 58.0 (-29.0)#107 53.0 (-24.0)#4,502
7. 55405 30.0 58.0 (-28.0)#112 53.0 (-23.0)#4,805
8. 55444 32.0 58.0 (-26.0)#135 53.0 (-21.0)#5,405
9. 55423 35.0 58.0 (-23.0)#161 53.0 (-18.0)#6,283
10. 55438 35.0 58.0 (-23.0)#163 53.0 (-18.0)#6,367
11. 55448 38.0 58.0 (-20.0)#192 53.0 (-15.0)#7,287
12. 55413 39.0 58.0 (-19.0)#203 53.0 (-14.0)#7,731
13. 55439 39.0 58.0 (-19.0)#204 53.0 (-14.0)#7,769
14. 55442 40.0 58.0 (-18.0)#219 53.0 (-13.0)#8,087
15. 55424 41.0 58.0 (-17.0)#226 53.0 (-12.0)#8,435
16. 55416 42.0 58.0 (-16.0)#233 53.0 (-11.0)#8,674
17. 55432 42.0 58.0 (-16.0)#235 53.0 (-11.0)#8,680
18. 55401 44.0 58.0 (-14.0)#258 53.0 (-9.00)#9,516
19. 55425 44.0 58.0 (-14.0)#260 53.0 (-9.00)#9,522
20. 55428 46.0 58.0 (-12.0)#275 53.0 (-7.00)#10,138
21. 55404 47.0 58.0 (-11.0)#280 53.0 (-6.00)#10,519
22. 55427 48.0 58.0 (-10.00)#295 53.0 (-5.00)#10,858
23. 55412 50.0 58.0 (-8.00)#311 53.0 (-3.00)#11,583
24. 55422 51.0 58.0 (-7.00)#325 53.0 (-2.00)#11,901
25. 55446 52.0 58.0 (-6.00)#334 53.0 (-1.000)#12,260
26. 55441 52.0 58.0 (-6.00)#338 53.0 (-1.000)#12,302
27. 55407 57.0 58.0 (-1.000)#383 53.0 (+4.00)#13,788
28. 55431 57.0 58.0 (-1.000)#386 53.0 (+4.00)#13,868
29. 55421 58.0 58.0 (=0.000)#393 53.0 (+5.00)#14,129
30. 55406 59.0 58.0 (+1.000)#400 53.0 (+6.00)#14,415
31. 55419 61.0 58.0 (+3.00)#415 53.0 (+8.00)#15,028
32. 55411 64.0 58.0 (+6.00)#443 53.0 (+11.0)#15,854
33. 55417 64.0 58.0 (+6.00)#444 53.0 (+11.0)#15,867
34. 55449 66.0 58.0 (+8.00)#465 53.0 (+13.0)#16,372
35. 55418 66.0 58.0 (+8.00)#466 53.0 (+13.0)#16,379
36. 55434 70.0 58.0 (+12.0)#508 53.0 (+17.0)#17,305
37. 55426 71.0 58.0 (+13.0)#513 53.0 (+18.0)#17,528
38. 55447 73.0 58.0 (+15.0)#531 53.0 (+20.0)#17,952
39. 55435 75.0 58.0 (+17.0)#546 53.0 (+22.0)#18,367
40. 55433 76.0 58.0 (+18.0)#555 53.0 (+23.0)#18,517
41. 55410 76.0 58.0 (+18.0)#556 53.0 (+23.0)#18,538
42. 55430 81.0 58.0 (+23.0)#579 53.0 (+28.0)#19,351
43. 55443 85.0 58.0 (+27.0)#601 53.0 (+32.0)#19,901
44. 55415 87.0 58.0 (+29.0)#613 53.0 (+34.0)#20,198
45. 55429 94.0 58.0 (+36.0)#649 53.0 (+41.0)#20,890
46. 55454 95.0 58.0 (+37.0)#655 53.0 (+42.0)#20,998
47. 55445 102.0 58.0 (+44.0)#676 53.0 (+49.0)#21,592
48. 55437 106.0 58.0 (+48.0)#685 53.0 (+53.0)#21,888

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN are:
#1
13.0
#2
13.0
#3
19.0
#4
22.0
#5
22.0
#6
29.0
#7
30.0
#8
32.0
#9
35.0
#10
35.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN?
55414 has the Fewest Births per 1,000 Women Below Poverty Level in Minneapolis, MN with 13.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Minneapolis, MN?
Number of Births per 1,000 Women Below Poverty Level in Minneapolis is 45.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Minnesota?
Number of Births per 1,000 Women Below Poverty Level in Minnesota is 58.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.