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

RELATED REPORTS & OPTIONS

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

20.0%
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. 56147 100.0% 11.3% (+88.7)#1 17.0% (+83.0)#329
2. 56030 100.0% 11.3% (+88.7)#2 17.0% (+83.0)#401
3. 56626 95.8% 11.3% (+84.6)#3 17.0% (+78.9)#407
4. 56681 83.3% 11.3% (+72.1)#4 17.0% (+66.4)#523
5. 56591 82.4% 11.3% (+71.1)#5 17.0% (+65.4)#543
6. 56565 81.0% 11.3% (+69.7)#6 17.0% (+64.0)#572
7. 55753 79.2% 11.3% (+67.9)#7 17.0% (+62.2)#612
8. 56568 78.9% 11.3% (+67.7)#8 17.0% (+62.0)#620
9. 56089 76.0% 11.3% (+64.7)#9 17.0% (+59.0)#677
10. 56729 72.7% 11.3% (+61.5)#10 17.0% (+55.8)#770
11. 56566 65.7% 11.3% (+54.5)#11 17.0% (+48.7)#999
12. 56218 63.6% 11.3% (+52.4)#12 17.0% (+46.7)#1,089
13. 56518 62.5% 11.3% (+51.2)#13 17.0% (+45.5)#1,147
14. 55454 61.5% 11.3% (+50.2)#14 17.0% (+44.5)#1,187
15. 56032 60.5% 11.3% (+49.2)#15 17.0% (+43.5)#1,241
16. 55764 57.9% 11.3% (+46.6)#16 17.0% (+40.9)#1,415
17. 56666 56.3% 11.3% (+45.1)#17 17.0% (+39.3)#1,528
18. 55090 53.3% 11.3% (+42.1)#18 17.0% (+36.4)#1,740
19. 55716 50.0% 11.3% (+38.7)#19 17.0% (+33.0)#2,076
20. 55758 50.0% 11.3% (+38.7)#20 17.0% (+33.0)#2,092
21. 56051 47.8% 11.3% (+36.6)#21 17.0% (+30.8)#2,297
22. 56023 47.4% 11.3% (+36.1)#22 17.0% (+30.4)#2,346
23. 55130 46.4% 11.3% (+35.1)#23 17.0% (+29.4)#2,456
24. 56257 44.7% 11.3% (+33.5)#24 17.0% (+27.8)#2,632
25. 56027 43.5% 11.3% (+32.2)#25 17.0% (+26.5)#2,819
26. 56630 41.8% 11.3% (+30.5)#26 17.0% (+24.8)#3,072
27. 55404 41.5% 11.3% (+30.2)#27 17.0% (+24.5)#3,108
28. 56684 41.2% 11.3% (+29.9)#28 17.0% (+24.2)#3,162
29. 56240 41.1% 11.3% (+29.9)#29 17.0% (+24.1)#3,175
30. 56650 40.5% 11.3% (+29.3)#30 17.0% (+23.6)#3,274
31. 56572 40.4% 11.3% (+29.1)#31 17.0% (+23.4)#3,302
32. 56145 40.0% 11.3% (+28.7)#32 17.0% (+23.0)#3,375
33. 56688 40.0% 11.3% (+28.7)#33 17.0% (+23.0)#3,386
34. 56756 39.8% 11.3% (+28.5)#34 17.0% (+22.8)#3,417
35. 56670 39.6% 11.3% (+28.3)#35 17.0% (+22.6)#3,453
36. 56590 39.3% 11.3% (+28.0)#36 17.0% (+22.3)#3,494
37. 56158 38.2% 11.3% (+27.0)#37 17.0% (+21.3)#3,682
38. 55612 37.9% 11.3% (+26.7)#38 17.0% (+21.0)#3,744
39. 55768 37.2% 11.3% (+25.9)#39 17.0% (+20.2)#3,901
40. 55411 36.9% 11.3% (+25.6)#40 17.0% (+19.9)#3,962
41. 56387 36.5% 11.3% (+25.3)#41 17.0% (+19.6)#4,034
42. 56081 36.5% 11.3% (+25.2)#42 17.0% (+19.5)#4,045
43. 56585 36.2% 11.3% (+25.0)#43 17.0% (+19.3)#4,094
44. 56633 36.2% 11.3% (+25.0)#44 17.0% (+19.3)#4,099
45. 56122 35.8% 11.3% (+24.6)#45 17.0% (+18.9)#4,192
46. 56569 35.5% 11.3% (+24.2)#46 17.0% (+18.5)#4,281
47. 55771 35.4% 11.3% (+24.1)#47 17.0% (+18.4)#4,307
48. 56672 35.0% 11.3% (+23.8)#48 17.0% (+18.1)#4,371
49. 55983 34.6% 11.3% (+23.4)#49 17.0% (+17.6)#4,464
50. 55979 34.6% 11.3% (+23.4)#50 17.0% (+17.6)#4,466
51. 56575 34.2% 11.3% (+23.0)#51 17.0% (+17.2)#4,565
52. 56641 34.0% 11.3% (+22.7)#52 17.0% (+17.0)#4,618
53. 55723 33.8% 11.3% (+22.6)#53 17.0% (+16.9)#4,656
54. 56484 33.3% 11.3% (+22.1)#54 17.0% (+16.4)#4,773
55. 56029 33.3% 11.3% (+22.1)#55 17.0% (+16.4)#4,796
56. 56219 33.1% 11.3% (+21.9)#56 17.0% (+16.1)#4,876
57. 56359 33.1% 11.3% (+21.8)#57 17.0% (+16.1)#4,879
58. 56441 33.1% 11.3% (+21.8)#58 17.0% (+16.1)#4,881
59. 55805 33.1% 11.3% (+21.8)#59 17.0% (+16.1)#4,886
60. 56542 32.7% 11.3% (+21.4)#60 17.0% (+15.7)#4,996
61. 56440 32.6% 11.3% (+21.4)#61 17.0% (+15.7)#5,000
62. 55405 32.2% 11.3% (+21.0)#62 17.0% (+15.3)#5,105
63. 56326 32.2% 11.3% (+20.9)#63 17.0% (+15.2)#5,111
64. 55117 32.1% 11.3% (+20.9)#64 17.0% (+15.1)#5,136
65. 56045 31.9% 11.3% (+20.6)#65 17.0% (+14.9)#5,220
66. 56374 31.5% 11.3% (+20.3)#66 17.0% (+14.6)#5,307
67. 55103 31.5% 11.3% (+20.2)#67 17.0% (+14.5)#5,321
68. 56646 31.0% 11.3% (+19.8)#68 17.0% (+14.1)#5,447
69. 55705 30.9% 11.3% (+19.6)#69 17.0% (+13.9)#5,488
70. 55107 30.9% 11.3% (+19.6)#70 17.0% (+13.9)#5,489
71. 56157 30.4% 11.3% (+19.1)#71 17.0% (+13.4)#5,630
72. 55790 30.3% 11.3% (+19.0)#72 17.0% (+13.3)#5,666
73. 55106 30.1% 11.3% (+18.8)#73 17.0% (+13.1)#5,720
74. 56035 30.0% 11.3% (+18.7)#74 17.0% (+13.0)#5,751
75. 56201 29.8% 11.3% (+18.6)#75 17.0% (+12.8)#5,797
76. 55021 29.2% 11.3% (+17.9)#76 17.0% (+12.2)#5,995
77. 56164 28.8% 11.3% (+17.6)#77 17.0% (+11.9)#6,107
78. 56171 28.6% 11.3% (+17.3)#78 17.0% (+11.6)#6,187
79. 56715 28.6% 11.3% (+17.3)#79 17.0% (+11.6)#6,194
80. 56075 28.6% 11.3% (+17.3)#80 17.0% (+11.6)#6,201
81. 56371 28.6% 11.3% (+17.3)#81 17.0% (+11.6)#6,203
82. 55012 28.4% 11.3% (+17.2)#82 17.0% (+11.5)#6,238
83. 55307 28.2% 11.3% (+16.9)#83 17.0% (+11.2)#6,340
84. 56557 28.1% 11.3% (+16.8)#84 17.0% (+11.1)#6,394
85. 56671 27.8% 11.3% (+16.5)#85 17.0% (+10.8)#6,460
86. 56174 27.3% 11.3% (+16.0)#86 17.0% (+10.3)#6,662
87. 55119 26.7% 11.3% (+15.4)#87 17.0% (+9.71)#6,858
88. 56284 26.7% 11.3% (+15.4)#88 17.0% (+9.69)#6,865
89. 56560 26.7% 11.3% (+15.4)#89 17.0% (+9.68)#6,880
90. 56180 26.6% 11.3% (+15.4)#90 17.0% (+9.64)#6,888
91. 55734 26.5% 11.3% (+15.3)#91 17.0% (+9.56)#6,915
92. 55959 26.5% 11.3% (+15.2)#92 17.0% (+9.52)#6,931
93. 56536 26.2% 11.3% (+14.9)#93 17.0% (+9.21)#7,050
94. 56716 25.7% 11.3% (+14.5)#94 17.0% (+8.75)#7,229
95. 56243 25.3% 11.3% (+14.0)#95 17.0% (+8.29)#7,425
96. 56058 25.2% 11.3% (+13.9)#96 17.0% (+8.18)#7,461
97. 55720 24.6% 11.3% (+13.4)#97 17.0% (+7.64)#7,709
98. 55806 24.6% 11.3% (+13.3)#98 17.0% (+7.57)#7,727
99. 55407 24.1% 11.3% (+12.8)#99 17.0% (+7.11)#7,913
100. 56237 23.8% 11.3% (+12.6)#100 17.0% (+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%.