Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota

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Lowest Poverty | Girls 0-16
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 Child Poverty Level Among Girls Under the Age of 16 in Minnesota

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Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota Map

Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota

Zip Code Child Poverty (Girls) vs State vs National
1.554460.31%11.3%(-10.9)#117.0%(-16.7)#29
2.560110.43%11.3%(-10.8)#217.0%(-16.5)#58
3.554380.57%11.3%(-10.7)#317.0%(-16.4)#102
4.554450.72%11.3%(-10.5)#417.0%(-16.3)#159
5.550110.72%11.3%(-10.5)#517.0%(-16.3)#160
6.559400.74%11.3%(-10.5)#617.0%(-16.2)#168
7.557510.75%11.3%(-10.5)#717.0%(-16.2)#175
8.553190.79%11.3%(-10.5)#817.0%(-16.2)#195
9.553340.89%11.3%(-10.4)#917.0%(-16.1)#249
10.553950.91%11.3%(-10.3)#1017.0%(-16.1)#263
11.565790.96%11.3%(-10.3)#1117.0%(-16.0)#302
12.550460.99%11.3%(-10.3)#1217.0%(-16.0)#320
13.554101.0%11.3%(-10.3)#1317.0%(-16.0)#329
14.561501.0%11.3%(-10.2)#1417.0%(-15.9)#356
15.553011.1%11.3%(-10.2)#1517.0%(-15.9)#390
16.551151.2%11.3%(-10.1)#1617.0%(-15.8)#438
17.559601.2%11.3%(-10.1)#1717.0%(-15.8)#451
18.563681.2%11.3%(-10.0)#1817.0%(-15.7)#488
19.565481.3%11.3%(-10.0)#1917.0%(-15.7)#506
20.564671.3%11.3%(-9.99)#2017.0%(-15.7)#511
21.550801.3%11.3%(-9.98)#2117.0%(-15.7)#523
22.565221.3%11.3%(-9.97)#2217.0%(-15.7)#525
23.563621.3%11.3%(-9.91)#2317.0%(-15.6)#555
24.554471.3%11.3%(-9.91)#2417.0%(-15.6)#557
25.553721.3%11.3%(-9.91)#2517.0%(-15.6)#559
26.560171.4%11.3%(-9.89)#2617.0%(-15.6)#582
27.553081.4%11.3%(-9.88)#2717.0%(-15.6)#590
28.561291.4%11.3%(-9.86)#2817.0%(-15.6)#598
29.565541.4%11.3%(-9.85)#2917.0%(-15.6)#602
30.559691.4%11.3%(-9.84)#3017.0%(-15.6)#609
31.550381.5%11.3%(-9.79)#3117.0%(-15.5)#647
32.565291.5%11.3%(-9.78)#3217.0%(-15.5)#658
33.561281.5%11.3%(-9.78)#3317.0%(-15.5)#659
34.557311.5%11.3%(-9.77)#3417.0%(-15.5)#660
35.553301.5%11.3%(-9.73)#3517.0%(-15.5)#695
36.553671.6%11.3%(-9.70)#3617.0%(-15.4)#722
37.563491.6%11.3%(-9.69)#3717.0%(-15.4)#733
38.564681.6%11.3%(-9.65)#3817.0%(-15.4)#761
39.558031.6%11.3%(-9.62)#3917.0%(-15.3)#783
40.560711.7%11.3%(-9.60)#4017.0%(-15.3)#803
41.560371.7%11.3%(-9.60)#4117.0%(-15.3)#804
42.563301.7%11.3%(-9.59)#4217.0%(-15.3)#814
43.554391.7%11.3%(-9.58)#4317.0%(-15.3)#821
44.551291.7%11.3%(-9.56)#4417.0%(-15.3)#831
45.561521.7%11.3%(-9.53)#4517.0%(-15.3)#858
46.559471.7%11.3%(-9.51)#4617.0%(-15.2)#880
47.557041.8%11.3%(-9.49)#4717.0%(-15.2)#907
48.563141.8%11.3%(-9.42)#4817.0%(-15.1)#959
49.553871.9%11.3%(-9.39)#4917.0%(-15.1)#982
50.561781.9%11.3%(-9.37)#5017.0%(-15.1)#998
51.563671.9%11.3%(-9.36)#5117.0%(-15.1)#1,009
52.551231.9%11.3%(-9.35)#5217.0%(-15.1)#1,013
53.556041.9%11.3%(-9.34)#5317.0%(-15.1)#1,021
54.565942.0%11.3%(-9.26)#5417.0%(-15.0)#1,090
55.554242.0%11.3%(-9.22)#5517.0%(-14.9)#1,119
56.563102.1%11.3%(-9.21)#5617.0%(-14.9)#1,124
57.553382.1%11.3%(-9.13)#5717.0%(-14.8)#1,178
58.561272.1%11.3%(-9.13)#5817.0%(-14.8)#1,180
59.550302.2%11.3%(-9.07)#5917.0%(-14.8)#1,220
60.557672.2%11.3%(-9.03)#6017.0%(-14.8)#1,253
61.560982.2%11.3%(-9.03)#6117.0%(-14.8)#1,256
62.562202.3%11.3%(-8.98)#6217.0%(-14.7)#1,297
63.567132.3%11.3%(-8.98)#6317.0%(-14.7)#1,300
64.554372.3%11.3%(-8.97)#6417.0%(-14.7)#1,310
65.554492.3%11.3%(-8.93)#6517.0%(-14.6)#1,346
66.553452.3%11.3%(-8.92)#6617.0%(-14.6)#1,350
67.550882.3%11.3%(-8.92)#6717.0%(-14.6)#1,357
68.559102.4%11.3%(-8.90)#6817.0%(-14.6)#1,367
69.559912.4%11.3%(-8.89)#6917.0%(-14.6)#1,375
70.554132.4%11.3%(-8.85)#7017.0%(-14.6)#1,413
71.560362.4%11.3%(-8.84)#7117.0%(-14.6)#1,420
72.565242.4%11.3%(-8.82)#7217.0%(-14.5)#1,441
73.561672.4%11.3%(-8.82)#7317.0%(-14.5)#1,442
74.553642.5%11.3%(-8.80)#7417.0%(-14.5)#1,461
75.559092.5%11.3%(-8.78)#7517.0%(-14.5)#1,473
76.560092.5%11.3%(-8.76)#7617.0%(-14.5)#1,496
77.550242.5%11.3%(-8.74)#7717.0%(-14.5)#1,511
78.553402.6%11.3%(-8.63)#7817.0%(-14.4)#1,595
79.563432.7%11.3%(-8.59)#7917.0%(-14.3)#1,626
80.560542.7%11.3%(-8.58)#8017.0%(-14.3)#1,631
81.560572.7%11.3%(-8.56)#8117.0%(-14.3)#1,642
82.559022.7%11.3%(-8.56)#8217.0%(-14.3)#1,644
83.560632.7%11.3%(-8.54)#8317.0%(-14.3)#1,654
84.553412.7%11.3%(-8.52)#8417.0%(-14.2)#1,665
85.560722.8%11.3%(-8.43)#8517.0%(-14.2)#1,754
86.559812.8%11.3%(-8.42)#8617.0%(-14.1)#1,758
87.565342.8%11.3%(-8.42)#8717.0%(-14.1)#1,760
88.553272.8%11.3%(-8.42)#8817.0%(-14.1)#1,774
89.561812.9%11.3%(-8.36)#8917.0%(-14.1)#1,826
90.560802.9%11.3%(-8.36)#9017.0%(-14.1)#1,827
91.562732.9%11.3%(-8.33)#9117.0%(-14.1)#1,840
92.550792.9%11.3%(-8.32)#9217.0%(-14.0)#1,851
93.553473.0%11.3%(-8.22)#9317.0%(-13.9)#1,951
94.558043.1%11.3%(-8.20)#9417.0%(-13.9)#1,963
95.551253.1%11.3%(-8.20)#9517.0%(-13.9)#1,967
96.563603.1%11.3%(-8.19)#9617.0%(-13.9)#1,973
97.561183.1%11.3%(-8.13)#9717.0%(-13.9)#2,030
98.559313.1%11.3%(-8.13)#9817.0%(-13.9)#2,031
99.553313.2%11.3%(-8.08)#9917.0%(-13.8)#2,063
100.567323.2%11.3%(-8.08)#10017.0%(-13.8)#2,067

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota are:
#1
0.31%
#2
0.43%
#3
0.57%
#4
0.72%
#5
0.72%
#6
0.74%
#7
0.75%
#8
0.79%
#9
0.89%
#10
0.91%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota?
55446 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Minnesota with 0.31%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Minnesota?
Poverty Level Among Girls Under the Age of 16 in Minnesota is 11.3%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.