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
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 Highest Female Poverty Level in Minneapolis

0.0%
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
1.55455100.0%10.1%(+89.9)#113.7%(+86.3)#4
2.5545453.6%10.1%(+43.5)#713.7%(+39.9)#536
3.5541446.3%10.1%(+36.1)#1013.7%(+32.6)#818
4.5540433.9%10.1%(+23.8)#1613.7%(+20.2)#2,000
5.5541130.5%10.1%(+20.3)#2113.7%(+16.8)#2,686
6.5540229.1%10.1%(+19.0)#2513.7%(+15.4)#3,058
7.5541520.4%10.1%(+10.2)#7013.7%(+6.68)#6,995
8.5540519.2%10.1%(+9.03)#8013.7%(+5.47)#7,869
9.5540717.1%10.1%(+6.99)#10513.7%(+3.42)#9,635
10.5540817.1%10.1%(+6.98)#10613.7%(+3.41)#9,647
11.5542016.4%10.1%(+6.27)#11913.7%(+2.70)#10,370
12.5541214.1%10.1%(+3.96)#18013.7%(+0.396)#12,909
13.5540314.1%10.1%(+3.96)#18113.7%(+0.390)#12,918
14.5542813.3%10.1%(+3.18)#20913.7%(-0.385)#13,911
15.5543513.2%10.1%(+3.11)#21413.7%(-0.454)#14,015
16.5542512.9%10.1%(+2.80)#22913.7%(-0.768)#14,424
17.5543012.8%10.1%(+2.65)#23613.7%(-0.922)#14,634
18.5543212.5%10.1%(+2.32)#24713.7%(-1.25)#15,048
19.5542111.9%10.1%(+1.76)#26313.7%(-1.81)#15,806
20.5544111.6%10.1%(+1.43)#27313.7%(-2.14)#16,277
21.5542911.1%10.1%(+0.981)#29713.7%(-2.59)#16,934
22.5540610.2%10.1%(+0.094)#33913.7%(-3.47)#18,222
23.5542710.2%10.1%(+0.048)#34213.7%(-3.52)#18,290
24.554339.9%10.1%(-0.209)#35713.7%(-3.78)#18,671
25.554439.7%10.1%(-0.424)#37413.7%(-3.99)#19,019
26.554229.6%10.1%(-0.511)#38313.7%(-4.08)#19,155
27.554139.5%10.1%(-0.656)#40213.7%(-4.22)#19,423
28.554269.3%10.1%(-0.786)#41313.7%(-4.35)#19,635
29.554349.0%10.1%(-1.11)#43813.7%(-4.68)#20,132
30.554188.5%10.1%(-1.58)#47013.7%(-5.15)#20,918
31.554198.2%10.1%(-1.91)#48613.7%(-5.48)#21,424
32.554097.4%10.1%(-2.75)#53113.7%(-6.32)#22,723
33.554237.4%10.1%(-2.78)#53713.7%(-6.35)#22,765
34.554486.8%10.1%(-3.32)#57213.7%(-6.88)#23,657
35.554016.6%10.1%(-3.53)#58713.7%(-7.10)#24,041
36.554175.9%10.1%(-4.25)#63513.7%(-7.82)#25,161
37.554165.8%10.1%(-4.37)#64413.7%(-7.93)#25,335
38.554385.4%10.1%(-4.72)#67013.7%(-8.29)#25,869
39.554374.8%10.1%(-5.30)#70913.7%(-8.86)#26,734
40.554314.8%10.1%(-5.37)#71213.7%(-8.94)#26,830
41.554454.0%10.1%(-6.15)#76013.7%(-9.71)#27,902
42.554473.6%10.1%(-6.54)#77413.7%(-10.1)#28,358
43.554443.5%10.1%(-6.59)#77813.7%(-10.2)#28,417
44.554423.5%10.1%(-6.62)#78113.7%(-10.2)#28,459
45.554493.3%10.1%(-6.82)#78913.7%(-10.4)#28,676
46.554102.7%10.1%(-7.40)#81113.7%(-11.0)#29,254
47.554362.7%10.1%(-7.40)#81213.7%(-11.0)#29,255
48.554242.6%10.1%(-7.49)#81713.7%(-11.1)#29,337
49.554392.2%10.1%(-7.95)#83013.7%(-11.5)#29,682
50.554461.5%10.1%(-8.65)#85113.7%(-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%.