Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota

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Highest Poverty | Female 25-34
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 Poverty Level Among Females Between Ages 25 and 34 in Minnesota

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota

Zip Code Female Poverty vs State vs National
1.55455100.0%10.3%(+89.7)#114.5%(+85.5)#2
2.56669100.0%10.3%(+89.7)#214.5%(+85.5)#296
3.55607100.0%10.3%(+89.7)#314.5%(+85.5)#310
4.56434100.0%10.3%(+89.7)#414.5%(+85.5)#320
5.5656688.9%10.3%(+78.5)#514.5%(+74.4)#522
6.5666685.4%10.3%(+75.1)#614.5%(+70.9)#551
7.5625775.0%10.3%(+64.7)#714.5%(+60.5)#680
8.5627675.0%10.3%(+64.7)#814.5%(+60.5)#684
9.5604373.9%10.3%(+63.6)#914.5%(+59.4)#704
10.5667071.9%10.3%(+61.5)#1014.5%(+57.4)#736
11.5571167.1%10.3%(+56.7)#1114.5%(+52.6)#855
12.5654366.7%10.3%(+56.3)#1214.5%(+52.2)#892
13.5577266.7%10.3%(+56.3)#1314.5%(+52.2)#902
14.5608962.5%10.3%(+52.2)#1414.5%(+48.0)#1,018
15.5604656.5%10.3%(+46.2)#1514.5%(+42.0)#1,260
16.5658555.6%10.3%(+45.2)#1614.5%(+41.1)#1,300
17.5622552.0%10.3%(+41.7)#1714.5%(+37.5)#1,512
18.5614551.5%10.3%(+41.2)#1814.5%(+37.0)#1,539
19.5627751.0%10.3%(+40.7)#1914.5%(+36.5)#1,562
20.5561250.0%10.3%(+39.7)#2014.5%(+35.5)#1,651
21.5571948.2%10.3%(+37.9)#2114.5%(+33.7)#1,815
22.5668447.4%10.3%(+37.0)#2214.5%(+32.9)#1,882
23.5667245.7%10.3%(+35.4)#2314.5%(+31.2)#2,018
24.5675945.5%10.3%(+35.1)#2414.5%(+31.0)#2,055
25.5605042.9%10.3%(+32.5)#2514.5%(+28.4)#2,325
26.5576442.6%10.3%(+32.3)#2614.5%(+28.1)#2,372
27.5666740.4%10.3%(+30.0)#2714.5%(+25.9)#2,635
28.5655040.0%10.3%(+29.7)#2814.5%(+25.5)#2,716
29.5663339.9%10.3%(+29.6)#2914.5%(+25.4)#2,731
30.5652039.8%10.3%(+29.4)#3014.5%(+25.3)#2,746
31.5598338.5%10.3%(+28.1)#3114.5%(+24.0)#2,907
32.5603337.5%10.3%(+27.2)#3214.5%(+23.0)#3,084
33.5533537.2%10.3%(+26.8)#3314.5%(+22.7)#3,135
34.5655636.5%10.3%(+26.2)#3414.5%(+22.0)#3,248
35.5571636.4%10.3%(+26.0)#3514.5%(+21.9)#3,288
36.5545436.1%10.3%(+25.8)#3614.5%(+21.6)#3,335
37.5630135.9%10.3%(+25.5)#3714.5%(+21.4)#3,377
38.5601435.7%10.3%(+25.4)#3814.5%(+21.2)#3,416
39.5624035.4%10.3%(+25.1)#3914.5%(+20.9)#3,473
40.5597935.4%10.3%(+25.0)#4014.5%(+20.9)#3,480
41.5623935.0%10.3%(+24.7)#4114.5%(+20.5)#3,556
42.5638634.8%10.3%(+24.4)#4214.5%(+20.3)#3,596
43.5621934.6%10.3%(+24.3)#4314.5%(+20.1)#3,634
44.5603134.0%10.3%(+23.7)#4414.5%(+19.5)#3,737
45.5601033.3%10.3%(+23.0)#4514.5%(+18.8)#3,861
46.5596733.3%10.3%(+23.0)#4614.5%(+18.8)#3,862
47.5665233.3%10.3%(+23.0)#4714.5%(+18.8)#3,901
48.5560233.3%10.3%(+23.0)#4814.5%(+18.8)#3,914
49.5638933.3%10.3%(+23.0)#4914.5%(+18.8)#3,944
50.5618332.8%10.3%(+22.4)#5014.5%(+18.3)#4,061
51.5651032.0%10.3%(+21.7)#5114.5%(+17.5)#4,211
52.5656931.8%10.3%(+21.4)#5214.5%(+17.3)#4,266
53.5659131.6%10.3%(+21.3)#5314.5%(+17.2)#4,288
54.5541131.5%10.3%(+21.2)#5414.5%(+17.0)#4,326
55.5663931.2%10.3%(+20.9)#5514.5%(+16.8)#4,387
56.5644331.0%10.3%(+20.6)#5614.5%(+16.5)#4,457
57.5644630.9%10.3%(+20.6)#5714.5%(+16.4)#4,466
58.5579230.5%10.3%(+20.2)#5814.5%(+16.0)#4,561
59.5599030.3%10.3%(+20.0)#5914.5%(+15.8)#4,614
60.5540430.2%10.3%(+19.9)#6014.5%(+15.7)#4,635
61.5655130.2%10.3%(+19.9)#6114.5%(+15.7)#4,637
62.5609630.1%10.3%(+19.7)#6214.5%(+15.6)#4,672
63.5594630.0%10.3%(+19.7)#6314.5%(+15.5)#4,681
64.5657530.0%10.3%(+19.7)#6414.5%(+15.5)#4,694
65.5622730.0%10.3%(+19.7)#6514.5%(+15.5)#4,707
66.5624130.0%10.3%(+19.6)#6614.5%(+15.5)#4,720
67.5662329.8%10.3%(+19.4)#6714.5%(+15.3)#4,771
68.5513029.6%10.3%(+19.3)#6814.5%(+15.1)#4,800
69.5616429.6%10.3%(+19.2)#6914.5%(+15.1)#4,837
70.5575329.4%10.3%(+19.1)#7014.5%(+14.9)#4,887
71.5653529.3%10.3%(+19.0)#7114.5%(+14.8)#4,919
72.5603929.3%10.3%(+18.9)#7214.5%(+14.8)#4,934
73.5676328.6%10.3%(+18.3)#7314.5%(+14.1)#5,119
74.5581228.6%10.3%(+18.2)#7414.5%(+14.1)#5,135
75.5575828.6%10.3%(+18.2)#7514.5%(+14.1)#5,183
76.5608128.1%10.3%(+17.7)#7614.5%(+13.6)#5,311
77.5628227.8%10.3%(+17.5)#7714.5%(+13.3)#5,379
78.5635927.8%10.3%(+17.4)#7814.5%(+13.3)#5,391
79.5573627.8%10.3%(+17.4)#7914.5%(+13.3)#5,396
80.5673527.8%10.3%(+17.4)#8014.5%(+13.3)#5,401
81.5621427.8%10.3%(+17.4)#8114.5%(+13.3)#5,402
82.5664127.8%10.3%(+17.4)#8214.5%(+13.3)#5,406
83.5620827.6%10.3%(+17.3)#8314.5%(+13.1)#5,463
84.5623027.6%10.3%(+17.2)#8414.5%(+13.1)#5,481
85.5508927.4%10.3%(+17.0)#8514.5%(+12.9)#5,552
86.5592227.1%10.3%(+16.8)#8614.5%(+12.6)#5,637
87.5595926.7%10.3%(+16.4)#8714.5%(+12.2)#5,797
88.5625226.6%10.3%(+16.2)#8814.5%(+12.1)#5,839
89.5506326.4%10.3%(+16.0)#8914.5%(+11.9)#5,889
90.5602526.2%10.3%(+15.8)#9014.5%(+11.7)#5,953
91.5503725.7%10.3%(+15.3)#9114.5%(+11.2)#6,124
92.5577525.5%10.3%(+15.1)#9214.5%(+11.0)#6,192
93.5530225.1%10.3%(+14.7)#9314.5%(+10.6)#6,335
94.5617025.0%10.3%(+14.7)#9414.5%(+10.5)#6,414
95.5578225.0%10.3%(+14.7)#9514.5%(+10.5)#6,418
96.5672925.0%10.3%(+14.7)#9614.5%(+10.5)#6,445
97.5624324.7%10.3%(+14.4)#9714.5%(+10.2)#6,549
98.5654224.6%10.3%(+14.2)#9814.5%(+10.1)#6,585
99.5507424.4%10.3%(+14.0)#9914.5%(+9.90)#6,656
100.5531024.4%10.3%(+14.0)#10014.5%(+9.90)#6,657

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
88.9%
#6
85.4%
#7
75.0%
#8
75.0%
#9
73.9%
#10
71.9%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota?
55455 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Minnesota with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of Minnesota?
Poverty Level Among Females Between Ages 25 and 34 in Minnesota is 10.3%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.