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

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

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

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

Zip Code Child Poverty vs State vs National
1.56147100.0%11.1%(+88.9)#116.9%(+83.1)#199
2.56030100.0%11.1%(+88.9)#216.9%(+83.1)#288
3.5662688.2%11.1%(+77.1)#316.9%(+71.2)#355
4.5656876.9%11.1%(+65.9)#416.9%(+60.0)#546
5.5656575.6%11.1%(+64.5)#516.9%(+58.7)#575
6.5608973.2%11.1%(+62.1)#616.9%(+56.2)#620
7.5668165.2%11.1%(+54.2)#716.9%(+48.3)#882
8.5596864.7%11.1%(+53.6)#816.9%(+47.8)#899
9.5659163.4%11.1%(+52.3)#916.9%(+46.5)#950
10.5575362.8%11.1%(+51.7)#1016.9%(+45.8)#971
11.5656658.3%11.1%(+47.2)#1116.9%(+41.3)#1,187
12.5545457.7%11.1%(+46.6)#1216.9%(+40.8)#1,218
13.5603252.1%11.1%(+41.0)#1316.9%(+35.1)#1,633
14.5665950.0%11.1%(+38.9)#1416.9%(+33.1)#1,847
15.5605149.7%11.1%(+38.6)#1516.9%(+32.7)#1,881
16.5621949.4%11.1%(+38.3)#1616.9%(+32.5)#1,902
17.5667048.2%11.1%(+37.2)#1716.9%(+31.3)#2,009
18.5666647.9%11.1%(+36.8)#1816.9%(+30.9)#2,047
19.5572246.3%11.1%(+35.2)#1916.9%(+29.4)#2,234
20.5625745.6%11.1%(+34.5)#2016.9%(+28.6)#2,331
21.5638744.4%11.1%(+33.3)#2116.9%(+27.5)#2,485
22.5513044.4%11.1%(+33.3)#2216.9%(+27.4)#2,490
23.5572344.3%11.1%(+33.3)#2316.9%(+27.4)#2,493
24.5663041.9%11.1%(+30.8)#2416.9%(+24.9)#2,862
25.5621841.5%11.1%(+30.5)#2516.9%(+24.6)#2,903
26.5602740.2%11.1%(+29.1)#2616.9%(+23.2)#3,124
27.5622539.4%11.1%(+28.3)#2716.9%(+22.5)#3,287
28.5614538.9%11.1%(+27.9)#2816.9%(+22.0)#3,362
29.5651838.5%11.1%(+27.5)#2916.9%(+21.6)#3,437
30.5603538.5%11.1%(+27.4)#3016.9%(+21.5)#3,449
31.5541138.3%11.1%(+27.2)#3116.9%(+21.3)#3,479
32.5665037.4%11.1%(+26.4)#3216.9%(+20.5)#3,655
33.5540437.0%11.1%(+25.9)#3316.9%(+20.0)#3,751
34.5571936.4%11.1%(+25.4)#3416.9%(+19.5)#3,867
35.5509036.4%11.1%(+25.3)#3516.9%(+19.4)#3,887
36.5663336.0%11.1%(+25.0)#3616.9%(+19.1)#3,960
37.5657535.8%11.1%(+24.8)#3716.9%(+18.9)#4,002
38.5659034.5%11.1%(+23.5)#3816.9%(+17.6)#4,315
39.5571634.5%11.1%(+23.5)#3916.9%(+17.6)#4,316
40.5510334.4%11.1%(+23.3)#4016.9%(+17.5)#4,354
41.5602334.2%11.1%(+23.1)#4116.9%(+17.2)#4,425
42.5503633.3%11.1%(+22.3)#4216.9%(+16.4)#4,677
43.5644033.1%11.1%(+22.1)#4316.9%(+16.2)#4,708
44.5667233.0%11.1%(+21.9)#4416.9%(+16.0)#4,741
45.5580532.9%11.1%(+21.8)#4516.9%(+16.0)#4,761
46.5635932.8%11.1%(+21.7)#4616.9%(+15.8)#4,792
47.5624332.1%11.1%(+21.0)#4716.9%(+15.1)#4,982
48.5608131.9%11.1%(+20.9)#4816.9%(+15.0)#5,022
49.5624031.7%11.1%(+20.7)#4916.9%(+14.8)#5,086
50.5668431.6%11.1%(+20.5)#5016.9%(+14.6)#5,125
51.5668831.6%11.1%(+20.5)#5116.9%(+14.6)#5,129
52.5580631.5%11.1%(+20.4)#5216.9%(+14.5)#5,165
53.5540531.2%11.1%(+20.1)#5316.9%(+14.2)#5,242
54.5597931.1%11.1%(+20.1)#5416.9%(+14.2)#5,255
55.5561230.6%11.1%(+19.5)#5516.9%(+13.6)#5,411
56.5637430.5%11.1%(+19.4)#5616.9%(+13.5)#5,448
57.5510730.5%11.1%(+19.4)#5716.9%(+13.5)#5,450
58.5538430.3%11.1%(+19.2)#5816.9%(+13.3)#5,511
59.5657230.0%11.1%(+18.9)#5916.9%(+13.1)#5,598
60.5622729.3%11.1%(+18.2)#6016.9%(+12.3)#5,831
61.5618029.3%11.1%(+18.2)#6116.9%(+12.3)#5,834
62.5656929.2%11.1%(+18.1)#6216.9%(+12.2)#5,856
63.5658528.9%11.1%(+17.9)#6316.9%(+12.0)#5,959
64.5615828.9%11.1%(+17.8)#6416.9%(+11.9)#5,976
65.5598328.7%11.1%(+17.6)#6516.9%(+11.7)#6,065
66.5612228.6%11.1%(+17.5)#6616.9%(+11.6)#6,093
67.5625228.5%11.1%(+17.5)#6716.9%(+11.6)#6,111
68.5510628.2%11.1%(+17.1)#6816.9%(+11.3)#6,222
69.5579028.2%11.1%(+17.1)#6916.9%(+11.3)#6,226
70.5511728.1%11.1%(+17.1)#7016.9%(+11.2)#6,255
71.5664127.8%11.1%(+16.8)#7116.9%(+10.9)#6,362
72.5620127.8%11.1%(+16.7)#7216.9%(+10.8)#6,379
73.5655727.4%11.1%(+16.4)#7316.9%(+10.5)#6,516
74.5675626.8%11.1%(+15.8)#7416.9%(+9.91)#6,766
75.5648426.8%11.1%(+15.7)#7516.9%(+9.87)#6,785
76.5664926.7%11.1%(+15.6)#7616.9%(+9.72)#6,862
77.5614426.5%11.1%(+15.4)#7716.9%(+9.54)#6,929
78.5654226.5%11.1%(+15.4)#7816.9%(+9.54)#6,935
79.5614126.5%11.1%(+15.4)#7916.9%(+9.53)#6,942
80.5576825.8%11.1%(+14.7)#8016.9%(+8.83)#7,243
81.5579225.6%11.1%(+14.6)#8116.9%(+8.69)#7,306
82.5630125.5%11.1%(+14.4)#8216.9%(+8.53)#7,376
83.5652825.5%11.1%(+14.4)#8316.9%(+8.52)#7,383
84.5579325.4%11.1%(+14.3)#8416.9%(+8.45)#7,413
85.5602925.3%11.1%(+14.2)#8516.9%(+8.35)#7,457
86.5533325.2%11.1%(+14.1)#8616.9%(+8.24)#7,509
87.5664625.0%11.1%(+13.9)#8716.9%(+8.06)#7,607
88.5672925.0%11.1%(+13.9)#8816.9%(+8.06)#7,616
89.5577225.0%11.1%(+13.9)#8916.9%(+8.06)#7,618
90.5647924.6%11.1%(+13.5)#9016.9%(+7.66)#7,765
91.5595324.6%11.1%(+13.5)#9116.9%(+7.66)#7,767
92.5615724.6%11.1%(+13.5)#9216.9%(+7.64)#7,776
93.5572024.3%11.1%(+13.3)#9316.9%(+7.41)#7,887
94.5576424.3%11.1%(+13.3)#9416.9%(+7.39)#7,894
95.5621424.1%11.1%(+13.0)#9516.9%(+7.12)#8,024
96.5577124.0%11.1%(+13.0)#9616.9%(+7.11)#8,032
97.5630424.0%11.1%(+12.9)#9716.9%(+7.06)#8,065
98.5570523.8%11.1%(+12.7)#9816.9%(+6.84)#8,147
99.5511923.7%11.1%(+12.6)#9916.9%(+6.72)#8,197
100.5596523.6%11.1%(+12.6)#10016.9%(+6.71)#8,206

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Minnesota?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Minnesota are:
#1
100.0%
#2
100.0%
#3
88.2%
#4
76.9%
#5
75.6%
#6
73.2%
#7
65.2%
#8
64.7%
#9
63.4%
#10
62.8%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in Minnesota?
56147 has the Highest Poverty Level Among Children Under the Age of 16 in Minnesota with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of Minnesota?
Poverty Level Among Children Under the Age of 16 in Minnesota is 11.1%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.