Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis, MN

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Highest Poverty | Single 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
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Minneapolis
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Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis

0.0%
50.0%
Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis Map

Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis, MN

Zip Code Single Female Poverty vs State vs National
1.5545447.0%19.9%(+27.1)#7724.1%(+22.9)#4,030
2.5540545.7%19.9%(+25.8)#8124.1%(+21.6)#4,288
3.5540444.4%19.9%(+24.5)#9324.1%(+20.3)#4,601
4.5540740.5%19.9%(+20.7)#11624.1%(+16.5)#5,582
5.5540339.4%19.9%(+19.6)#13324.1%(+15.3)#5,958
6.5541136.7%19.9%(+16.8)#15124.1%(+12.6)#6,814
7.5540834.8%19.9%(+14.9)#16924.1%(+10.7)#7,503
8.5540924.6%19.9%(+4.72)#27824.1%(+0.494)#12,390
9.5544322.6%19.9%(+2.72)#30624.1%(-1.51)#13,508
10.5541222.5%19.9%(+2.62)#30724.1%(-1.61)#13,547
11.5543321.5%19.9%(+1.64)#32624.1%(-2.58)#14,106
12.5542120.8%19.9%(+0.913)#33924.1%(-3.31)#14,497
13.5542920.7%19.9%(+0.818)#34424.1%(-3.41)#14,563
14.5541920.6%19.9%(+0.738)#34624.1%(-3.49)#14,590
15.5540120.5%19.9%(+0.695)#34924.1%(-3.53)#14,609
16.5542620.2%19.9%(+0.368)#35424.1%(-3.86)#14,787
17.5542219.4%19.9%(-0.447)#37824.1%(-4.67)#15,285
18.5540619.3%19.9%(-0.511)#38024.1%(-4.73)#15,330
19.5542019.0%19.9%(-0.889)#38724.1%(-5.11)#15,532
20.5543418.2%19.9%(-1.66)#40224.1%(-5.89)#15,952
21.5543517.9%19.9%(-1.91)#40924.1%(-6.13)#16,135
22.5544117.7%19.9%(-2.19)#41124.1%(-6.41)#16,292
23.5541317.6%19.9%(-2.25)#41424.1%(-6.47)#16,348
24.5541417.1%19.9%(-2.73)#42324.1%(-6.95)#16,614
25.5542817.1%19.9%(-2.78)#42424.1%(-7.00)#16,648
26.5543017.0%19.9%(-2.88)#42524.1%(-7.11)#16,704
27.5541816.3%19.9%(-3.56)#43624.1%(-7.78)#17,125
28.5543216.1%19.9%(-3.75)#44224.1%(-7.97)#17,214
29.5542313.2%19.9%(-6.64)#49624.1%(-10.9)#18,912
30.5541612.8%19.9%(-7.08)#50424.1%(-11.3)#19,161
31.5544811.7%19.9%(-8.19)#52124.1%(-12.4)#19,819
32.5542710.1%19.9%(-9.72)#55224.1%(-13.9)#20,670
33.5541010.1%19.9%(-9.76)#55324.1%(-14.0)#20,688
34.5541710.1%19.9%(-9.80)#55424.1%(-14.0)#20,704
35.554258.6%19.9%(-11.3)#58024.1%(-15.5)#21,487
36.554448.4%19.9%(-11.5)#58524.1%(-15.7)#21,581
37.554378.3%19.9%(-11.6)#59024.1%(-15.8)#21,664
38.554498.2%19.9%(-11.6)#59124.1%(-15.8)#21,679
39.554427.9%19.9%(-12.0)#59724.1%(-16.2)#21,846
40.554457.7%19.9%(-12.1)#59924.1%(-16.3)#21,904
41.554387.6%19.9%(-12.3)#60124.1%(-16.5)#21,999
42.554477.2%19.9%(-12.6)#60924.1%(-16.9)#22,148
43.554395.4%19.9%(-14.5)#63624.1%(-18.7)#22,994
44.554313.7%19.9%(-16.1)#66024.1%(-20.4)#23,553
45.554243.6%19.9%(-16.3)#66324.1%(-20.5)#23,588
46.554460.82%19.9%(-19.0)#68024.1%(-23.3)#24,117

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis, MN?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Minneapolis, MN are:
#1
47.0%
#2
45.7%
#3
44.4%
#4
40.5%
#5
39.4%
#6
36.7%
#7
34.8%
#8
24.6%
#9
22.6%
#10
22.5%
What zip code has the Highest Poverty Level Among Single Females in Minneapolis, MN?
55454 has the Highest Poverty Level Among Single Females in Minneapolis, MN with 47.0%.
What is the Poverty Level Among Single Females in Minneapolis, MN?
Poverty Level Among Single Females in Minneapolis is 28.7%.
What is the Poverty Level Among Single Females in Minnesota?
Poverty Level Among Single Females in Minnesota is 19.9%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.