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)
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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

0.82%
47.0%
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. 55454 47.0% 19.9% (+27.1)#77 24.1% (+22.9)#4,030
2. 55405 45.7% 19.9% (+25.8)#81 24.1% (+21.6)#4,288
3. 55404 44.4% 19.9% (+24.5)#93 24.1% (+20.3)#4,601
4. 55407 40.5% 19.9% (+20.7)#116 24.1% (+16.5)#5,582
5. 55403 39.4% 19.9% (+19.6)#133 24.1% (+15.3)#5,958
6. 55411 36.7% 19.9% (+16.8)#151 24.1% (+12.6)#6,814
7. 55408 34.8% 19.9% (+14.9)#169 24.1% (+10.7)#7,503
8. 55409 24.6% 19.9% (+4.72)#278 24.1% (+0.494)#12,390
9. 55443 22.6% 19.9% (+2.72)#306 24.1% (-1.51)#13,508
10. 55412 22.5% 19.9% (+2.62)#307 24.1% (-1.61)#13,547
11. 55433 21.5% 19.9% (+1.64)#326 24.1% (-2.58)#14,106
12. 55421 20.8% 19.9% (+0.913)#339 24.1% (-3.31)#14,497
13. 55429 20.7% 19.9% (+0.818)#344 24.1% (-3.41)#14,563
14. 55419 20.6% 19.9% (+0.738)#346 24.1% (-3.49)#14,590
15. 55401 20.5% 19.9% (+0.695)#349 24.1% (-3.53)#14,609
16. 55426 20.2% 19.9% (+0.368)#354 24.1% (-3.86)#14,787
17. 55422 19.4% 19.9% (-0.447)#378 24.1% (-4.67)#15,285
18. 55406 19.3% 19.9% (-0.511)#380 24.1% (-4.73)#15,330
19. 55420 19.0% 19.9% (-0.889)#387 24.1% (-5.11)#15,532
20. 55434 18.2% 19.9% (-1.66)#402 24.1% (-5.89)#15,952
21. 55435 17.9% 19.9% (-1.91)#409 24.1% (-6.13)#16,135
22. 55441 17.7% 19.9% (-2.19)#411 24.1% (-6.41)#16,292
23. 55413 17.6% 19.9% (-2.25)#414 24.1% (-6.47)#16,348
24. 55414 17.1% 19.9% (-2.73)#423 24.1% (-6.95)#16,614
25. 55428 17.1% 19.9% (-2.78)#424 24.1% (-7.00)#16,648
26. 55430 17.0% 19.9% (-2.88)#425 24.1% (-7.11)#16,704
27. 55418 16.3% 19.9% (-3.56)#436 24.1% (-7.78)#17,125
28. 55432 16.1% 19.9% (-3.75)#442 24.1% (-7.97)#17,214
29. 55423 13.2% 19.9% (-6.64)#496 24.1% (-10.9)#18,912
30. 55416 12.8% 19.9% (-7.08)#504 24.1% (-11.3)#19,161
31. 55448 11.7% 19.9% (-8.19)#521 24.1% (-12.4)#19,819
32. 55427 10.1% 19.9% (-9.72)#552 24.1% (-13.9)#20,670
33. 55410 10.1% 19.9% (-9.76)#553 24.1% (-14.0)#20,688
34. 55417 10.1% 19.9% (-9.80)#554 24.1% (-14.0)#20,704
35. 55425 8.6% 19.9% (-11.3)#580 24.1% (-15.5)#21,487
36. 55444 8.4% 19.9% (-11.5)#585 24.1% (-15.7)#21,581
37. 55437 8.3% 19.9% (-11.6)#590 24.1% (-15.8)#21,664
38. 55449 8.2% 19.9% (-11.6)#591 24.1% (-15.8)#21,679
39. 55442 7.9% 19.9% (-12.0)#597 24.1% (-16.2)#21,846
40. 55445 7.7% 19.9% (-12.1)#599 24.1% (-16.3)#21,904
41. 55438 7.6% 19.9% (-12.3)#601 24.1% (-16.5)#21,999
42. 55447 7.2% 19.9% (-12.6)#609 24.1% (-16.9)#22,148
43. 55439 5.4% 19.9% (-14.5)#636 24.1% (-18.7)#22,994
44. 55431 3.7% 19.9% (-16.1)#660 24.1% (-20.4)#23,553
45. 55424 3.6% 19.9% (-16.3)#663 24.1% (-20.5)#23,588
46. 55446 0.82% 19.9% (-19.0)#680 24.1% (-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%.