Zip Codes with the Highest Female Poverty Level in Minnesota

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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 NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern 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
Minnesota
Compare Zip Codes
Comparison Subject

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

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Minnesota Map

Zip Codes with the Highest Female Poverty Level in Minnesota

Zip Code Female Poverty vs State vs National
1. 55455 100.0% 10.1% (+89.9)#1 13.7% (+86.3)#4
2. 56562 100.0% 10.1% (+89.9)#2 13.7% (+86.3)#19
3. 56626 67.3% 10.1% (+57.2)#3 13.7% (+53.6)#267
4. 56030 66.7% 10.1% (+56.5)#4 13.7% (+53.0)#285
5. 56720 66.7% 10.1% (+56.5)#5 13.7% (+53.0)#286
6. 56591 60.7% 10.1% (+50.6)#6 13.7% (+47.0)#366
7. 55454 53.6% 10.1% (+43.5)#7 13.7% (+39.9)#536
8. 56670 51.6% 10.1% (+41.4)#8 13.7% (+37.9)#599
9. 56666 49.8% 10.1% (+39.7)#9 13.7% (+36.1)#674
10. 55414 46.3% 10.1% (+36.1)#10 13.7% (+32.6)#818
11. 56565 45.6% 10.1% (+35.5)#11 13.7% (+31.9)#860
12. 56566 44.7% 10.1% (+34.6)#12 13.7% (+31.0)#920
13. 56089 40.0% 10.1% (+29.9)#13 13.7% (+26.3)#1,240
14. 55950 35.3% 10.1% (+25.2)#14 13.7% (+21.6)#1,781
15. 55753 34.9% 10.1% (+24.8)#15 13.7% (+21.2)#1,831
16. 55404 33.9% 10.1% (+23.8)#16 13.7% (+20.2)#2,000
17. 55711 32.8% 10.1% (+22.7)#17 13.7% (+19.1)#2,192
18. 56734 32.5% 10.1% (+22.4)#18 13.7% (+18.8)#2,256
19. 55130 31.7% 10.1% (+21.6)#19 13.7% (+18.0)#2,415
20. 55805 31.5% 10.1% (+21.3)#20 13.7% (+17.8)#2,459
21. 55411 30.5% 10.1% (+20.3)#21 13.7% (+16.8)#2,686
22. 55758 30.2% 10.1% (+20.1)#22 13.7% (+16.5)#2,774
23. 56729 30.2% 10.1% (+20.0)#23 13.7% (+16.5)#2,780
24. 56568 29.6% 10.1% (+19.4)#24 13.7% (+15.9)#2,934
25. 55402 29.1% 10.1% (+19.0)#25 13.7% (+15.4)#3,058
26. 56389 28.6% 10.1% (+18.4)#26 13.7% (+14.9)#3,207
27. 56051 28.2% 10.1% (+18.0)#27 13.7% (+14.5)#3,323
28. 56518 27.9% 10.1% (+17.8)#28 13.7% (+14.2)#3,404
29. 56681 27.4% 10.1% (+17.3)#29 13.7% (+13.7)#3,543
30. 56023 27.3% 10.1% (+17.2)#30 13.7% (+13.6)#3,570
31. 55979 27.2% 10.1% (+17.1)#31 13.7% (+13.5)#3,624
32. 56633 27.1% 10.1% (+17.0)#32 13.7% (+13.4)#3,660
33. 56387 26.8% 10.1% (+16.6)#33 13.7% (+13.1)#3,775
34. 56257 26.0% 10.1% (+15.9)#34 13.7% (+12.3)#4,066
35. 56520 25.8% 10.1% (+15.7)#35 13.7% (+12.1)#4,140
36. 56376 25.6% 10.1% (+15.5)#36 13.7% (+11.9)#4,217
37. 56350 25.3% 10.1% (+15.2)#37 13.7% (+11.6)#4,332
38. 56301 25.3% 10.1% (+15.1)#38 13.7% (+11.6)#4,360
39. 56145 25.2% 10.1% (+15.1)#39 13.7% (+11.5)#4,382
40. 56161 24.8% 10.1% (+14.7)#40 13.7% (+11.1)#4,546
41. 56219 24.6% 10.1% (+14.5)#41 13.7% (+10.9)#4,629
42. 55806 24.5% 10.1% (+14.4)#42 13.7% (+10.8)#4,674
43. 55103 24.0% 10.1% (+13.9)#43 13.7% (+10.3)#4,907
44. 56240 23.8% 10.1% (+13.7)#44 13.7% (+10.1)#5,021
45. 55716 23.6% 10.1% (+13.5)#45 13.7% (+9.94)#5,097
46. 56756 23.5% 10.1% (+13.4)#46 13.7% (+9.81)#5,145
47. 56575 23.5% 10.1% (+13.4)#47 13.7% (+9.79)#5,156
48. 55812 23.3% 10.1% (+13.1)#48 13.7% (+9.58)#5,267
49. 55802 22.8% 10.1% (+12.7)#49 13.7% (+9.14)#5,495
50. 56046 22.8% 10.1% (+12.7)#50 13.7% (+9.11)#5,510
51. 56557 22.7% 10.1% (+12.5)#51 13.7% (+8.96)#5,575
52. 56359 22.5% 10.1% (+12.4)#52 13.7% (+8.79)#5,667
53. 55764 22.4% 10.1% (+12.3)#53 13.7% (+8.75)#5,696
54. 55106 22.4% 10.1% (+12.3)#54 13.7% (+8.71)#5,717
55. 56001 22.0% 10.1% (+11.9)#55 13.7% (+8.35)#5,926
56. 56032 22.0% 10.1% (+11.8)#56 13.7% (+8.25)#5,988
57. 56081 21.9% 10.1% (+11.7)#57 13.7% (+8.17)#6,037
58. 56630 21.8% 10.1% (+11.7)#58 13.7% (+8.13)#6,069
59. 56671 21.8% 10.1% (+11.6)#59 13.7% (+8.06)#6,100
60. 56313 21.7% 10.1% (+11.6)#60 13.7% (+8.04)#6,125
61. 56183 21.6% 10.1% (+11.5)#61 13.7% (+7.93)#6,181
62. 55792 21.4% 10.1% (+11.3)#62 13.7% (+7.72)#6,319
63. 56304 21.3% 10.1% (+11.1)#63 13.7% (+7.57)#6,405
64. 55114 21.2% 10.1% (+11.1)#64 13.7% (+7.55)#6,422
65. 56684 20.8% 10.1% (+10.7)#65 13.7% (+7.11)#6,706
66. 56542 20.8% 10.1% (+10.7)#66 13.7% (+7.10)#6,713
67. 56243 20.8% 10.1% (+10.7)#67 13.7% (+7.10)#6,716
68. 56371 20.6% 10.1% (+10.5)#68 13.7% (+6.89)#6,868
69. 56440 20.5% 10.1% (+10.4)#69 13.7% (+6.83)#6,913
70. 55415 20.4% 10.1% (+10.2)#70 13.7% (+6.68)#6,995
71. 55615 20.3% 10.1% (+10.2)#71 13.7% (+6.59)#7,063
72. 56569 20.1% 10.1% (+9.96)#72 13.7% (+6.39)#7,197
73. 55117 19.7% 10.1% (+9.59)#73 13.7% (+6.03)#7,438
74. 56731 19.7% 10.1% (+9.59)#74 13.7% (+6.02)#7,442
75. 55107 19.7% 10.1% (+9.59)#75 13.7% (+6.02)#7,443
76. 56560 19.7% 10.1% (+9.53)#76 13.7% (+5.96)#7,488
77. 56644 19.6% 10.1% (+9.42)#77 13.7% (+5.85)#7,565
78. 56716 19.4% 10.1% (+9.27)#78 13.7% (+5.71)#7,689
79. 56441 19.2% 10.1% (+9.08)#79 13.7% (+5.51)#7,835
80. 55405 19.2% 10.1% (+9.03)#80 13.7% (+5.47)#7,869
81. 56543 19.1% 10.1% (+9.00)#81 13.7% (+5.43)#7,898
82. 55987 19.1% 10.1% (+8.99)#82 13.7% (+5.42)#7,911
83. 55609 19.1% 10.1% (+8.99)#83 13.7% (+5.42)#7,918
84. 56144 19.0% 10.1% (+8.89)#84 13.7% (+5.32)#7,999
85. 56484 18.9% 10.1% (+8.74)#85 13.7% (+5.18)#8,112
86. 56201 18.8% 10.1% (+8.63)#86 13.7% (+5.06)#8,211
87. 56672 18.7% 10.1% (+8.52)#87 13.7% (+4.95)#8,300
88. 56276 18.6% 10.1% (+8.50)#88 13.7% (+4.93)#8,322
89. 56147 18.6% 10.1% (+8.47)#89 13.7% (+4.91)#8,340
90. 56164 18.5% 10.1% (+8.42)#90 13.7% (+4.85)#8,393
91. 56258 18.4% 10.1% (+8.22)#91 13.7% (+4.65)#8,543
92. 56627 18.1% 10.1% (+7.96)#92 13.7% (+4.40)#8,758
93. 56572 18.1% 10.1% (+7.95)#93 13.7% (+4.38)#8,766
94. 56641 17.7% 10.1% (+7.58)#94 13.7% (+4.01)#9,104
95. 55072 17.6% 10.1% (+7.49)#95 13.7% (+3.93)#9,174
96. 56374 17.6% 10.1% (+7.44)#96 13.7% (+3.87)#9,214
97. 56157 17.6% 10.1% (+7.43)#97 13.7% (+3.86)#9,222
98. 56159 17.5% 10.1% (+7.38)#98 13.7% (+3.82)#9,265
99. 56277 17.5% 10.1% (+7.34)#99 13.7% (+3.77)#9,301
100. 56623 17.4% 10.1% (+7.32)#100 13.7% (+3.75)#9,318

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Minnesota?
Top 10 Zip Codes with the Highest Female Poverty Level in Minnesota are:
#1
100.0%
#2
100.0%
#3
67.3%
#4
66.7%
#5
66.7%
#6
60.7%
#7
53.6%
#8
51.6%
#9
49.8%
#10
46.3%
What zip code has the Highest Female Poverty Level in Minnesota?
55455 has the Highest Female Poverty Level in Minnesota with 100.0%.
What is the Poverty Level Among Females in the State of 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%.