Zip Codes with the Highest Female Poverty Level in Minneapolis, MN

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Highest Poverty | Female
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
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Employer Class
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Education by Degree Field
Occupancy
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Minneapolis
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female Poverty Level in Minneapolis

1.5%
100.0%
Zip Codes with the Highest Female Poverty Level in Minneapolis Map

Zip Codes with the Highest Female Poverty Level in Minneapolis, MN

Zip Code Female Poverty vs State vs National
1. 55455 100.0% 10.1% (+89.9)#1 13.7% (+86.3)#4
2. 55454 53.6% 10.1% (+43.5)#7 13.7% (+39.9)#536
3. 55414 46.3% 10.1% (+36.1)#10 13.7% (+32.6)#818
4. 55404 33.9% 10.1% (+23.8)#16 13.7% (+20.2)#2,000
5. 55411 30.5% 10.1% (+20.3)#21 13.7% (+16.8)#2,686
6. 55402 29.1% 10.1% (+19.0)#25 13.7% (+15.4)#3,058
7. 55415 20.4% 10.1% (+10.2)#70 13.7% (+6.68)#6,995
8. 55405 19.2% 10.1% (+9.03)#80 13.7% (+5.47)#7,869
9. 55407 17.1% 10.1% (+6.99)#105 13.7% (+3.42)#9,635
10. 55408 17.1% 10.1% (+6.98)#106 13.7% (+3.41)#9,647
11. 55420 16.4% 10.1% (+6.27)#119 13.7% (+2.70)#10,370
12. 55412 14.1% 10.1% (+3.96)#180 13.7% (+0.396)#12,909
13. 55403 14.1% 10.1% (+3.96)#181 13.7% (+0.390)#12,918
14. 55428 13.3% 10.1% (+3.18)#209 13.7% (-0.385)#13,911
15. 55435 13.2% 10.1% (+3.11)#214 13.7% (-0.454)#14,015
16. 55425 12.9% 10.1% (+2.80)#229 13.7% (-0.768)#14,424
17. 55430 12.8% 10.1% (+2.65)#236 13.7% (-0.922)#14,634
18. 55432 12.5% 10.1% (+2.32)#247 13.7% (-1.25)#15,048
19. 55421 11.9% 10.1% (+1.76)#263 13.7% (-1.81)#15,806
20. 55441 11.6% 10.1% (+1.43)#273 13.7% (-2.14)#16,277
21. 55429 11.1% 10.1% (+0.981)#297 13.7% (-2.59)#16,934
22. 55406 10.2% 10.1% (+0.094)#339 13.7% (-3.47)#18,222
23. 55427 10.2% 10.1% (+0.048)#342 13.7% (-3.52)#18,290
24. 55433 9.9% 10.1% (-0.209)#357 13.7% (-3.78)#18,671
25. 55443 9.7% 10.1% (-0.424)#374 13.7% (-3.99)#19,019
26. 55422 9.6% 10.1% (-0.511)#383 13.7% (-4.08)#19,155
27. 55413 9.5% 10.1% (-0.656)#402 13.7% (-4.22)#19,423
28. 55426 9.3% 10.1% (-0.786)#413 13.7% (-4.35)#19,635
29. 55434 9.0% 10.1% (-1.11)#438 13.7% (-4.68)#20,132
30. 55418 8.5% 10.1% (-1.58)#470 13.7% (-5.15)#20,918
31. 55419 8.2% 10.1% (-1.91)#486 13.7% (-5.48)#21,424
32. 55409 7.4% 10.1% (-2.75)#531 13.7% (-6.32)#22,723
33. 55423 7.4% 10.1% (-2.78)#537 13.7% (-6.35)#22,765
34. 55448 6.8% 10.1% (-3.32)#572 13.7% (-6.88)#23,657
35. 55401 6.6% 10.1% (-3.53)#587 13.7% (-7.10)#24,041
36. 55417 5.9% 10.1% (-4.25)#635 13.7% (-7.82)#25,161
37. 55416 5.8% 10.1% (-4.37)#644 13.7% (-7.93)#25,335
38. 55438 5.4% 10.1% (-4.72)#670 13.7% (-8.29)#25,869
39. 55437 4.8% 10.1% (-5.30)#709 13.7% (-8.86)#26,734
40. 55431 4.8% 10.1% (-5.37)#712 13.7% (-8.94)#26,830
41. 55445 4.0% 10.1% (-6.15)#760 13.7% (-9.71)#27,902
42. 55447 3.6% 10.1% (-6.54)#774 13.7% (-10.1)#28,358
43. 55444 3.5% 10.1% (-6.59)#778 13.7% (-10.2)#28,417
44. 55442 3.5% 10.1% (-6.62)#781 13.7% (-10.2)#28,459
45. 55449 3.3% 10.1% (-6.82)#789 13.7% (-10.4)#28,676
46. 55410 2.7% 10.1% (-7.40)#811 13.7% (-11.0)#29,254
47. 55436 2.7% 10.1% (-7.40)#812 13.7% (-11.0)#29,255
48. 55424 2.6% 10.1% (-7.49)#817 13.7% (-11.1)#29,337
49. 55439 2.2% 10.1% (-7.95)#830 13.7% (-11.5)#29,682
50. 55446 1.5% 10.1% (-8.65)#851 13.7% (-12.2)#30,104

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Minneapolis, MN?
Top 10 Zip Codes with the Highest Female Poverty Level in Minneapolis, MN are:
#1
100.0%
#2
53.6%
#3
46.3%
#4
33.9%
#5
30.5%
#6
29.1%
#7
20.4%
#8
19.2%
#9
17.1%
#10
17.1%
What zip code has the Highest Female Poverty Level in Minneapolis, MN?
55455 has the Highest Female Poverty Level in Minneapolis, MN with 100.0%.
What is the Poverty Level Among Females in Minneapolis, MN?
Poverty Level Among Females in Minneapolis is 17.9%.
What is the Poverty Level Among Females in Minnesota?
Poverty Level Among Females in Minnesota is 10.1%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.