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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Minneapolis

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 55437 106.0 58.0 (+48.0)#104 53.0 (+53.0)#3,510
2. 55445 102.0 58.0 (+44.0)#116 53.0 (+49.0)#3,794
3. 55454 95.0 58.0 (+37.0)#136 53.0 (+42.0)#4,398
4. 55429 94.0 58.0 (+36.0)#140 53.0 (+41.0)#4,481
5. 55415 87.0 58.0 (+29.0)#178 53.0 (+34.0)#5,234
6. 55443 85.0 58.0 (+27.0)#189 53.0 (+32.0)#5,429
7. 55430 81.0 58.0 (+23.0)#209 53.0 (+28.0)#6,005
8. 55433 76.0 58.0 (+18.0)#232 53.0 (+23.0)#6,804
9. 55410 76.0 58.0 (+18.0)#233 53.0 (+23.0)#6,825
10. 55435 75.0 58.0 (+17.0)#241 53.0 (+22.0)#7,008
11. 55447 73.0 58.0 (+15.0)#256 53.0 (+20.0)#7,382
12. 55426 71.0 58.0 (+13.0)#275 53.0 (+18.0)#7,810
13. 55434 70.0 58.0 (+12.0)#283 53.0 (+17.0)#8,001
14. 55449 66.0 58.0 (+8.00)#321 53.0 (+13.0)#8,895
15. 55418 66.0 58.0 (+8.00)#322 53.0 (+13.0)#8,902
16. 55411 64.0 58.0 (+6.00)#345 53.0 (+11.0)#9,432
17. 55417 64.0 58.0 (+6.00)#346 53.0 (+11.0)#9,445
18. 55419 61.0 58.0 (+3.00)#368 53.0 (+8.00)#10,272
19. 55406 59.0 58.0 (+1.000)#387 53.0 (+6.00)#10,856
20. 55421 58.0 58.0 (=0.000)#396 53.0 (+5.00)#11,171
21. 55407 57.0 58.0 (-1.000)#403 53.0 (+4.00)#11,445
22. 55431 57.0 58.0 (-1.000)#406 53.0 (+4.00)#11,525
23. 55446 52.0 58.0 (-6.00)#447 53.0 (-1.000)#13,070
24. 55441 52.0 58.0 (-6.00)#451 53.0 (-1.000)#13,112
25. 55422 51.0 58.0 (-7.00)#463 53.0 (-2.00)#13,377
26. 55412 50.0 58.0 (-8.00)#472 53.0 (-3.00)#13,761
27. 55427 48.0 58.0 (-10.00)#495 53.0 (-5.00)#14,445
28. 55404 47.0 58.0 (-11.0)#502 53.0 (-6.00)#14,787
29. 55428 46.0 58.0 (-12.0)#515 53.0 (-7.00)#15,110
30. 55401 44.0 58.0 (-14.0)#531 53.0 (-9.00)#15,939
31. 55425 44.0 58.0 (-14.0)#533 53.0 (-9.00)#15,945
32. 55416 42.0 58.0 (-16.0)#552 53.0 (-11.0)#16,559
33. 55432 42.0 58.0 (-16.0)#554 53.0 (-11.0)#16,565
34. 55424 41.0 58.0 (-17.0)#566 53.0 (-12.0)#17,012
35. 55442 40.0 58.0 (-18.0)#574 53.0 (-13.0)#17,333
36. 55413 39.0 58.0 (-19.0)#578 53.0 (-14.0)#17,667
37. 55439 39.0 58.0 (-19.0)#579 53.0 (-14.0)#17,705
38. 55448 38.0 58.0 (-20.0)#593 53.0 (-15.0)#17,942
39. 55423 35.0 58.0 (-23.0)#627 53.0 (-18.0)#18,951
40. 55438 35.0 58.0 (-23.0)#629 53.0 (-18.0)#19,035
41. 55444 32.0 58.0 (-26.0)#653 53.0 (-21.0)#19,944
42. 55405 30.0 58.0 (-28.0)#674 53.0 (-23.0)#20,528
43. 55420 29.0 58.0 (-29.0)#684 53.0 (-24.0)#20,797
44. 55408 22.0 58.0 (-36.0)#724 53.0 (-31.0)#22,556
45. 55436 22.0 58.0 (-36.0)#725 53.0 (-31.0)#22,595
46. 55409 19.0 58.0 (-39.0)#740 53.0 (-34.0)#23,304
47. 55414 13.0 58.0 (-45.0)#768 53.0 (-40.0)#24,321
48. 55403 13.0 58.0 (-45.0)#769 53.0 (-40.0)#24,330

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minneapolis, MN?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Minneapolis, MN are:
#1
106.0
#2
102.0
#3
95.0
#4
94.0
#5
87.0
#6
85.0
#7
81.0
#8
76.0
#9
76.0
#10
75.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Minneapolis, MN?
55437 has the Most Births per 1,000 Women Below Poverty Level in Minneapolis, MN with 106.0.
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.