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

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Highest 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 Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota Map

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

Zip Code Child Poverty (Girls) vs State vs National
1.56147100.0%11.3%(+88.7)#117.0%(+83.0)#329
2.56030100.0%11.3%(+88.7)#217.0%(+83.0)#401
3.5662695.8%11.3%(+84.6)#317.0%(+78.9)#407
4.5668183.3%11.3%(+72.1)#417.0%(+66.4)#523
5.5659182.4%11.3%(+71.1)#517.0%(+65.4)#543
6.5656581.0%11.3%(+69.7)#617.0%(+64.0)#572
7.5575379.2%11.3%(+67.9)#717.0%(+62.2)#612
8.5656878.9%11.3%(+67.7)#817.0%(+62.0)#620
9.5608976.0%11.3%(+64.7)#917.0%(+59.0)#677
10.5672972.7%11.3%(+61.5)#1017.0%(+55.8)#770
11.5656665.7%11.3%(+54.5)#1117.0%(+48.7)#999
12.5621863.6%11.3%(+52.4)#1217.0%(+46.7)#1,089
13.5651862.5%11.3%(+51.2)#1317.0%(+45.5)#1,147
14.5545461.5%11.3%(+50.2)#1417.0%(+44.5)#1,187
15.5603260.5%11.3%(+49.2)#1517.0%(+43.5)#1,241
16.5576457.9%11.3%(+46.6)#1617.0%(+40.9)#1,415
17.5666656.3%11.3%(+45.1)#1717.0%(+39.3)#1,528
18.5509053.3%11.3%(+42.1)#1817.0%(+36.4)#1,740
19.5571650.0%11.3%(+38.7)#1917.0%(+33.0)#2,076
20.5575850.0%11.3%(+38.7)#2017.0%(+33.0)#2,092
21.5605147.8%11.3%(+36.6)#2117.0%(+30.8)#2,297
22.5602347.4%11.3%(+36.1)#2217.0%(+30.4)#2,346
23.5513046.4%11.3%(+35.1)#2317.0%(+29.4)#2,456
24.5625744.7%11.3%(+33.5)#2417.0%(+27.8)#2,632
25.5602743.5%11.3%(+32.2)#2517.0%(+26.5)#2,819
26.5663041.8%11.3%(+30.5)#2617.0%(+24.8)#3,072
27.5540441.5%11.3%(+30.2)#2717.0%(+24.5)#3,108
28.5668441.2%11.3%(+29.9)#2817.0%(+24.2)#3,162
29.5624041.1%11.3%(+29.9)#2917.0%(+24.1)#3,175
30.5665040.5%11.3%(+29.3)#3017.0%(+23.6)#3,274
31.5657240.4%11.3%(+29.1)#3117.0%(+23.4)#3,302
32.5614540.0%11.3%(+28.7)#3217.0%(+23.0)#3,375
33.5668840.0%11.3%(+28.7)#3317.0%(+23.0)#3,386
34.5675639.8%11.3%(+28.5)#3417.0%(+22.8)#3,417
35.5667039.6%11.3%(+28.3)#3517.0%(+22.6)#3,453
36.5659039.3%11.3%(+28.0)#3617.0%(+22.3)#3,494
37.5615838.2%11.3%(+27.0)#3717.0%(+21.3)#3,682
38.5561237.9%11.3%(+26.7)#3817.0%(+21.0)#3,744
39.5576837.2%11.3%(+25.9)#3917.0%(+20.2)#3,901
40.5541136.9%11.3%(+25.6)#4017.0%(+19.9)#3,962
41.5638736.5%11.3%(+25.3)#4117.0%(+19.6)#4,034
42.5608136.5%11.3%(+25.2)#4217.0%(+19.5)#4,045
43.5658536.2%11.3%(+25.0)#4317.0%(+19.3)#4,094
44.5663336.2%11.3%(+25.0)#4417.0%(+19.3)#4,099
45.5612235.8%11.3%(+24.6)#4517.0%(+18.9)#4,192
46.5656935.5%11.3%(+24.2)#4617.0%(+18.5)#4,281
47.5577135.4%11.3%(+24.1)#4717.0%(+18.4)#4,307
48.5667235.0%11.3%(+23.8)#4817.0%(+18.1)#4,371
49.5598334.6%11.3%(+23.4)#4917.0%(+17.6)#4,464
50.5597934.6%11.3%(+23.4)#5017.0%(+17.6)#4,466
51.5657534.2%11.3%(+23.0)#5117.0%(+17.2)#4,565
52.5664134.0%11.3%(+22.7)#5217.0%(+17.0)#4,618
53.5572333.8%11.3%(+22.6)#5317.0%(+16.9)#4,656
54.5648433.3%11.3%(+22.1)#5417.0%(+16.4)#4,773
55.5602933.3%11.3%(+22.1)#5517.0%(+16.4)#4,796
56.5621933.1%11.3%(+21.9)#5617.0%(+16.1)#4,876
57.5635933.1%11.3%(+21.8)#5717.0%(+16.1)#4,879
58.5644133.1%11.3%(+21.8)#5817.0%(+16.1)#4,881
59.5580533.1%11.3%(+21.8)#5917.0%(+16.1)#4,886
60.5654232.7%11.3%(+21.4)#6017.0%(+15.7)#4,996
61.5644032.6%11.3%(+21.4)#6117.0%(+15.7)#5,000
62.5540532.2%11.3%(+21.0)#6217.0%(+15.3)#5,105
63.5632632.2%11.3%(+20.9)#6317.0%(+15.2)#5,111
64.5511732.1%11.3%(+20.9)#6417.0%(+15.1)#5,136
65.5604531.9%11.3%(+20.6)#6517.0%(+14.9)#5,220
66.5637431.5%11.3%(+20.3)#6617.0%(+14.6)#5,307
67.5510331.5%11.3%(+20.2)#6717.0%(+14.5)#5,321
68.5664631.0%11.3%(+19.8)#6817.0%(+14.1)#5,447
69.5570530.9%11.3%(+19.6)#6917.0%(+13.9)#5,488
70.5510730.9%11.3%(+19.6)#7017.0%(+13.9)#5,489
71.5615730.4%11.3%(+19.1)#7117.0%(+13.4)#5,630
72.5579030.3%11.3%(+19.0)#7217.0%(+13.3)#5,666
73.5510630.1%11.3%(+18.8)#7317.0%(+13.1)#5,720
74.5603530.0%11.3%(+18.7)#7417.0%(+13.0)#5,751
75.5620129.8%11.3%(+18.6)#7517.0%(+12.8)#5,797
76.5502129.2%11.3%(+17.9)#7617.0%(+12.2)#5,995
77.5616428.8%11.3%(+17.6)#7717.0%(+11.9)#6,107
78.5617128.6%11.3%(+17.3)#7817.0%(+11.6)#6,187
79.5671528.6%11.3%(+17.3)#7917.0%(+11.6)#6,194
80.5607528.6%11.3%(+17.3)#8017.0%(+11.6)#6,201
81.5637128.6%11.3%(+17.3)#8117.0%(+11.6)#6,203
82.5501228.4%11.3%(+17.2)#8217.0%(+11.5)#6,238
83.5530728.2%11.3%(+16.9)#8317.0%(+11.2)#6,340
84.5655728.1%11.3%(+16.8)#8417.0%(+11.1)#6,394
85.5667127.8%11.3%(+16.5)#8517.0%(+10.8)#6,460
86.5617427.3%11.3%(+16.0)#8617.0%(+10.3)#6,662
87.5511926.7%11.3%(+15.4)#8717.0%(+9.71)#6,858
88.5628426.7%11.3%(+15.4)#8817.0%(+9.69)#6,865
89.5656026.7%11.3%(+15.4)#8917.0%(+9.68)#6,880
90.5618026.6%11.3%(+15.4)#9017.0%(+9.64)#6,888
91.5573426.5%11.3%(+15.3)#9117.0%(+9.56)#6,915
92.5595926.5%11.3%(+15.2)#9217.0%(+9.52)#6,931
93.5653626.2%11.3%(+14.9)#9317.0%(+9.21)#7,050
94.5671625.7%11.3%(+14.5)#9417.0%(+8.75)#7,229
95.5624325.3%11.3%(+14.0)#9517.0%(+8.29)#7,425
96.5605825.2%11.3%(+13.9)#9617.0%(+8.18)#7,461
97.5572024.6%11.3%(+13.4)#9717.0%(+7.64)#7,709
98.5580624.6%11.3%(+13.3)#9817.0%(+7.57)#7,727
99.5540724.1%11.3%(+12.8)#9917.0%(+7.11)#7,913
100.5623723.8%11.3%(+12.6)#10017.0%(+6.83)#8,018

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota are:
#1
100.0%
#2
100.0%
#3
95.8%
#4
83.3%
#5
82.4%
#6
81.0%
#7
79.2%
#8
78.9%
#9
76.0%
#10
72.7%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota?
56147 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Minnesota with 100.0%.
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%.