Zip Codes with the Lowest Poverty Level Among Single Females in Minnesota

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Lowest Poverty | Single 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 Lowest Poverty Level Among Single Females in Minnesota

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Zip Codes with the Lowest Poverty Level Among Single Females in Minnesota Map

Zip Codes with the Lowest Poverty Level Among Single Females in Minnesota

Zip Code Single Female Poverty vs State vs National
1.551230.75%19.9%(-19.1)#124.1%(-23.3)#15
2.558030.75%19.9%(-19.1)#224.1%(-23.3)#16
3.554460.82%19.9%(-19.0)#324.1%(-23.3)#20
4.550050.84%19.9%(-19.0)#424.1%(-23.2)#23
5.560110.93%19.9%(-18.9)#524.1%(-23.1)#32
6.550252.1%19.9%(-17.8)#624.1%(-22.0)#189
7.559342.1%19.9%(-17.8)#724.1%(-22.0)#195
8.557032.1%19.9%(-17.8)#824.1%(-22.0)#196
9.551202.2%19.9%(-17.7)#924.1%(-21.9)#211
10.550202.7%19.9%(-17.2)#1024.1%(-21.4)#316
11.551052.7%19.9%(-17.2)#1124.1%(-21.4)#317
12.560412.7%19.9%(-17.2)#1224.1%(-21.4)#323
13.560482.9%19.9%(-17.0)#1324.1%(-21.2)#357
14.564682.9%19.9%(-16.9)#1424.1%(-21.1)#372
15.566502.9%19.9%(-16.9)#1524.1%(-21.1)#378
16.562883.3%19.9%(-16.6)#1624.1%(-20.8)#470
17.553953.3%19.9%(-16.6)#1724.1%(-20.8)#477
18.553013.4%19.9%(-16.4)#1824.1%(-20.6)#506
19.567263.6%19.9%(-16.3)#1924.1%(-20.5)#539
20.554243.6%19.9%(-16.3)#2024.1%(-20.5)#550
21.553193.7%19.9%(-16.1)#2124.1%(-20.4)#574
22.562713.7%19.9%(-16.1)#2224.1%(-20.4)#581
23.554313.7%19.9%(-16.1)#2324.1%(-20.4)#584
24.550423.8%19.9%(-16.0)#2424.1%(-20.2)#615
25.562393.8%19.9%(-16.0)#2524.1%(-20.2)#631
26.550554.0%19.9%(-15.9)#2624.1%(-20.1)#667
27.566614.2%19.9%(-15.7)#2724.1%(-19.9)#731
28.560714.2%19.9%(-15.7)#2824.1%(-19.9)#737
29.564724.3%19.9%(-15.6)#2924.1%(-19.8)#761
30.550654.3%19.9%(-15.5)#3024.1%(-19.7)#785
31.559104.3%19.9%(-15.5)#3124.1%(-19.7)#786
32.567484.3%19.9%(-15.5)#3224.1%(-19.7)#790
33.559544.5%19.9%(-15.4)#3324.1%(-19.6)#828
34.559094.5%19.9%(-15.3)#3424.1%(-19.5)#851
35.563794.7%19.9%(-15.2)#3524.1%(-19.4)#890
36.565344.8%19.9%(-15.1)#3624.1%(-19.3)#918
37.553414.9%19.9%(-15.0)#3724.1%(-19.2)#963
38.553474.9%19.9%(-15.0)#3824.1%(-19.2)#971
39.562644.9%19.9%(-14.9)#3924.1%(-19.2)#986
40.550515.1%19.9%(-14.8)#4024.1%(-19.0)#1,034
41.550885.1%19.9%(-14.7)#4124.1%(-18.9)#1,059
42.553395.1%19.9%(-14.7)#4224.1%(-18.9)#1,062
43.565805.3%19.9%(-14.6)#4324.1%(-18.8)#1,109
44.553725.3%19.9%(-14.6)#4424.1%(-18.8)#1,114
45.550245.3%19.9%(-14.5)#4524.1%(-18.8)#1,123
46.553455.3%19.9%(-14.5)#4624.1%(-18.8)#1,129
47.554395.4%19.9%(-14.5)#4724.1%(-18.7)#1,142
48.563345.5%19.9%(-14.4)#4824.1%(-18.6)#1,188
49.564775.5%19.9%(-14.3)#4924.1%(-18.6)#1,196
50.560175.6%19.9%(-14.3)#5024.1%(-18.5)#1,221
51.562215.6%19.9%(-14.3)#5124.1%(-18.5)#1,232
52.565545.7%19.9%(-14.2)#5224.1%(-18.4)#1,267
53.560985.7%19.9%(-14.2)#5324.1%(-18.4)#1,269
54.556145.9%19.9%(-14.0)#5424.1%(-18.2)#1,366
55.560195.9%19.9%(-14.0)#5524.1%(-18.2)#1,373
56.563845.9%19.9%(-14.0)#5624.1%(-18.2)#1,381
57.553086.0%19.9%(-13.9)#5724.1%(-18.1)#1,407
58.560096.1%19.9%(-13.7)#5824.1%(-18.0)#1,458
59.563496.2%19.9%(-13.6)#5924.1%(-17.8)#1,514
60.559476.4%19.9%(-13.4)#6024.1%(-17.7)#1,581
61.561316.4%19.9%(-13.4)#6124.1%(-17.7)#1,583
62.553556.6%19.9%(-13.2)#6224.1%(-17.5)#1,682
63.550126.7%19.9%(-13.2)#6324.1%(-17.4)#1,709
64.557066.7%19.9%(-13.2)#6424.1%(-17.4)#1,712
65.553766.7%19.9%(-13.1)#6524.1%(-17.3)#1,752
66.564376.9%19.9%(-13.0)#6624.1%(-17.2)#1,840
67.561806.9%19.9%(-13.0)#6724.1%(-17.2)#1,842
68.551297.0%19.9%(-12.9)#6824.1%(-17.1)#1,872
69.553437.0%19.9%(-12.9)#6924.1%(-17.1)#1,883
70.550687.0%19.9%(-12.8)#7024.1%(-17.1)#1,895
71.550537.1%19.9%(-12.7)#7124.1%(-16.9)#1,951
72.560547.1%19.9%(-12.7)#7224.1%(-16.9)#1,952
73.563757.1%19.9%(-12.7)#7324.1%(-16.9)#1,955
74.554477.2%19.9%(-12.6)#7424.1%(-16.9)#1,988
75.550797.2%19.9%(-12.6)#7524.1%(-16.8)#1,993
76.559727.3%19.9%(-12.6)#7624.1%(-16.8)#2,002
77.561697.3%19.9%(-12.5)#7724.1%(-16.8)#2,028
78.551277.3%19.9%(-12.5)#7824.1%(-16.8)#2,030
79.550167.4%19.9%(-12.5)#7924.1%(-16.7)#2,043
80.550417.4%19.9%(-12.5)#8024.1%(-16.7)#2,054
81.550777.5%19.9%(-12.4)#8124.1%(-16.6)#2,095
82.554387.6%19.9%(-12.3)#8224.1%(-16.5)#2,138
83.559317.7%19.9%(-12.2)#8324.1%(-16.4)#2,216
84.554457.7%19.9%(-12.1)#8424.1%(-16.3)#2,233
85.550807.8%19.9%(-12.0)#8524.1%(-16.2)#2,278
86.554427.9%19.9%(-12.0)#8624.1%(-16.2)#2,291
87.566787.9%19.9%(-12.0)#8724.1%(-16.2)#2,301
88.561507.9%19.9%(-11.9)#8824.1%(-16.1)#2,318
89.553788.0%19.9%(-11.9)#8924.1%(-16.1)#2,334
90.562098.1%19.9%(-11.7)#9024.1%(-16.0)#2,410
91.551108.2%19.9%(-11.7)#9124.1%(-15.9)#2,438
92.554498.2%19.9%(-11.6)#9224.1%(-15.8)#2,458
93.554378.3%19.9%(-11.6)#9324.1%(-15.8)#2,473
94.562328.3%19.9%(-11.5)#9424.1%(-15.7)#2,508
95.559368.3%19.9%(-11.5)#9524.1%(-15.7)#2,511
96.564538.3%19.9%(-11.5)#9624.1%(-15.7)#2,523
97.567548.3%19.9%(-11.5)#9724.1%(-15.7)#2,531
98.554448.4%19.9%(-11.5)#9824.1%(-15.7)#2,556
99.561728.4%19.9%(-11.4)#9924.1%(-15.7)#2,571
100.551218.5%19.9%(-11.4)#10024.1%(-15.6)#2,593

Common Questions

What are the Top 10 Zip Codes with the Lowest Poverty Level Among Single Females in Minnesota?
Top 10 Zip Codes with the Lowest Poverty Level Among Single Females in Minnesota are:
#1
0.75%
#2
0.75%
#3
0.82%
#4
0.84%
#5
0.93%
#6
2.1%
#7
2.1%
#8
2.1%
#9
2.2%
#10
2.7%
What zip code has the Lowest Poverty Level Among Single Females in Minnesota?
55123 has the Lowest Poverty Level Among Single Females in Minnesota with 0.75%.
What is the Poverty Level Among Single Females in the State of 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%.