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
1.55455100.0%10.1%(+89.9)#113.7%(+86.3)#4
2.56562100.0%10.1%(+89.9)#213.7%(+86.3)#19
3.5662667.3%10.1%(+57.2)#313.7%(+53.6)#267
4.5603066.7%10.1%(+56.5)#413.7%(+53.0)#285
5.5672066.7%10.1%(+56.5)#513.7%(+53.0)#286
6.5659160.7%10.1%(+50.6)#613.7%(+47.0)#366
7.5545453.6%10.1%(+43.5)#713.7%(+39.9)#536
8.5667051.6%10.1%(+41.4)#813.7%(+37.9)#599
9.5666649.8%10.1%(+39.7)#913.7%(+36.1)#674
10.5541446.3%10.1%(+36.1)#1013.7%(+32.6)#818
11.5656545.6%10.1%(+35.5)#1113.7%(+31.9)#860
12.5656644.7%10.1%(+34.6)#1213.7%(+31.0)#920
13.5608940.0%10.1%(+29.9)#1313.7%(+26.3)#1,240
14.5595035.3%10.1%(+25.2)#1413.7%(+21.6)#1,781
15.5575334.9%10.1%(+24.8)#1513.7%(+21.2)#1,831
16.5540433.9%10.1%(+23.8)#1613.7%(+20.2)#2,000
17.5571132.8%10.1%(+22.7)#1713.7%(+19.1)#2,192
18.5673432.5%10.1%(+22.4)#1813.7%(+18.8)#2,256
19.5513031.7%10.1%(+21.6)#1913.7%(+18.0)#2,415
20.5580531.5%10.1%(+21.3)#2013.7%(+17.8)#2,459
21.5541130.5%10.1%(+20.3)#2113.7%(+16.8)#2,686
22.5575830.2%10.1%(+20.1)#2213.7%(+16.5)#2,774
23.5672930.2%10.1%(+20.0)#2313.7%(+16.5)#2,780
24.5656829.6%10.1%(+19.4)#2413.7%(+15.9)#2,934
25.5540229.1%10.1%(+19.0)#2513.7%(+15.4)#3,058
26.5638928.6%10.1%(+18.4)#2613.7%(+14.9)#3,207
27.5605128.2%10.1%(+18.0)#2713.7%(+14.5)#3,323
28.5651827.9%10.1%(+17.8)#2813.7%(+14.2)#3,404
29.5668127.4%10.1%(+17.3)#2913.7%(+13.7)#3,543
30.5602327.3%10.1%(+17.2)#3013.7%(+13.6)#3,570
31.5597927.2%10.1%(+17.1)#3113.7%(+13.5)#3,624
32.5663327.1%10.1%(+17.0)#3213.7%(+13.4)#3,660
33.5638726.8%10.1%(+16.6)#3313.7%(+13.1)#3,775
34.5625726.0%10.1%(+15.9)#3413.7%(+12.3)#4,066
35.5652025.8%10.1%(+15.7)#3513.7%(+12.1)#4,140
36.5637625.6%10.1%(+15.5)#3613.7%(+11.9)#4,217
37.5635025.3%10.1%(+15.2)#3713.7%(+11.6)#4,332
38.5630125.3%10.1%(+15.1)#3813.7%(+11.6)#4,360
39.5614525.2%10.1%(+15.1)#3913.7%(+11.5)#4,382
40.5616124.8%10.1%(+14.7)#4013.7%(+11.1)#4,546
41.5621924.6%10.1%(+14.5)#4113.7%(+10.9)#4,629
42.5580624.5%10.1%(+14.4)#4213.7%(+10.8)#4,674
43.5510324.0%10.1%(+13.9)#4313.7%(+10.3)#4,907
44.5624023.8%10.1%(+13.7)#4413.7%(+10.1)#5,021
45.5571623.6%10.1%(+13.5)#4513.7%(+9.94)#5,097
46.5675623.5%10.1%(+13.4)#4613.7%(+9.81)#5,145
47.5657523.5%10.1%(+13.4)#4713.7%(+9.79)#5,156
48.5581223.3%10.1%(+13.1)#4813.7%(+9.58)#5,267
49.5580222.8%10.1%(+12.7)#4913.7%(+9.14)#5,495
50.5604622.8%10.1%(+12.7)#5013.7%(+9.11)#5,510
51.5655722.7%10.1%(+12.5)#5113.7%(+8.96)#5,575
52.5635922.5%10.1%(+12.4)#5213.7%(+8.79)#5,667
53.5576422.4%10.1%(+12.3)#5313.7%(+8.75)#5,696
54.5510622.4%10.1%(+12.3)#5413.7%(+8.71)#5,717
55.5600122.0%10.1%(+11.9)#5513.7%(+8.35)#5,926
56.5603222.0%10.1%(+11.8)#5613.7%(+8.25)#5,988
57.5608121.9%10.1%(+11.7)#5713.7%(+8.17)#6,037
58.5663021.8%10.1%(+11.7)#5813.7%(+8.13)#6,069
59.5667121.8%10.1%(+11.6)#5913.7%(+8.06)#6,100
60.5631321.7%10.1%(+11.6)#6013.7%(+8.04)#6,125
61.5618321.6%10.1%(+11.5)#6113.7%(+7.93)#6,181
62.5579221.4%10.1%(+11.3)#6213.7%(+7.72)#6,319
63.5630421.3%10.1%(+11.1)#6313.7%(+7.57)#6,405
64.5511421.2%10.1%(+11.1)#6413.7%(+7.55)#6,422
65.5668420.8%10.1%(+10.7)#6513.7%(+7.11)#6,706
66.5654220.8%10.1%(+10.7)#6613.7%(+7.10)#6,713
67.5624320.8%10.1%(+10.7)#6713.7%(+7.10)#6,716
68.5637120.6%10.1%(+10.5)#6813.7%(+6.89)#6,868
69.5644020.5%10.1%(+10.4)#6913.7%(+6.83)#6,913
70.5541520.4%10.1%(+10.2)#7013.7%(+6.68)#6,995
71.5561520.3%10.1%(+10.2)#7113.7%(+6.59)#7,063
72.5656920.1%10.1%(+9.96)#7213.7%(+6.39)#7,197
73.5511719.7%10.1%(+9.59)#7313.7%(+6.03)#7,438
74.5673119.7%10.1%(+9.59)#7413.7%(+6.02)#7,442
75.5510719.7%10.1%(+9.59)#7513.7%(+6.02)#7,443
76.5656019.7%10.1%(+9.53)#7613.7%(+5.96)#7,488
77.5664419.6%10.1%(+9.42)#7713.7%(+5.85)#7,565
78.5671619.4%10.1%(+9.27)#7813.7%(+5.71)#7,689
79.5644119.2%10.1%(+9.08)#7913.7%(+5.51)#7,835
80.5540519.2%10.1%(+9.03)#8013.7%(+5.47)#7,869
81.5654319.1%10.1%(+9.00)#8113.7%(+5.43)#7,898
82.5598719.1%10.1%(+8.99)#8213.7%(+5.42)#7,911
83.5560919.1%10.1%(+8.99)#8313.7%(+5.42)#7,918
84.5614419.0%10.1%(+8.89)#8413.7%(+5.32)#7,999
85.5648418.9%10.1%(+8.74)#8513.7%(+5.18)#8,112
86.5620118.8%10.1%(+8.63)#8613.7%(+5.06)#8,211
87.5667218.7%10.1%(+8.52)#8713.7%(+4.95)#8,300
88.5627618.6%10.1%(+8.50)#8813.7%(+4.93)#8,322
89.5614718.6%10.1%(+8.47)#8913.7%(+4.91)#8,340
90.5616418.5%10.1%(+8.42)#9013.7%(+4.85)#8,393
91.5625818.4%10.1%(+8.22)#9113.7%(+4.65)#8,543
92.5662718.1%10.1%(+7.96)#9213.7%(+4.40)#8,758
93.5657218.1%10.1%(+7.95)#9313.7%(+4.38)#8,766
94.5664117.7%10.1%(+7.58)#9413.7%(+4.01)#9,104
95.5507217.6%10.1%(+7.49)#9513.7%(+3.93)#9,174
96.5637417.6%10.1%(+7.44)#9613.7%(+3.87)#9,214
97.5615717.6%10.1%(+7.43)#9713.7%(+3.86)#9,222
98.5615917.5%10.1%(+7.38)#9813.7%(+3.82)#9,265
99.5627717.5%10.1%(+7.34)#9913.7%(+3.77)#9,301
100.5662317.4%10.1%(+7.32)#10013.7%(+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%.