Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN

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Highest Poverty | Boys 0-16
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
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Minneapolis
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Comparison Subject

Map of Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis

0.41%
53.8%
Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis Map

Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN

Zip Code Child Poverty (Boys) vs State vs National
1. 55454 53.8% 10.9% (+42.9)#16 16.9% (+36.9)#1,680
2. 55411 39.8% 10.9% (+28.9)#34 16.9% (+22.9)#3,386
3. 55404 33.1% 10.9% (+22.2)#51 16.9% (+16.2)#4,855
4. 55405 30.2% 10.9% (+19.3)#66 16.9% (+13.3)#5,679
5. 55435 27.7% 10.9% (+16.8)#79 16.9% (+10.8)#6,529
6. 55413 24.2% 10.9% (+13.3)#100 16.9% (+7.28)#7,909
7. 55443 23.8% 10.9% (+12.9)#104 16.9% (+6.89)#8,081
8. 55428 22.4% 10.9% (+11.5)#114 16.9% (+5.51)#8,687
9. 55407 21.8% 10.9% (+10.9)#125 16.9% (+4.90)#8,959
10. 55412 19.9% 10.9% (+9.03)#152 16.9% (+3.02)#9,958
11. 55414 19.9% 10.9% (+9.01)#154 16.9% (+2.99)#9,971
12. 55425 19.8% 10.9% (+8.89)#156 16.9% (+2.88)#10,019
13. 55408 19.6% 10.9% (+8.71)#158 16.9% (+2.69)#10,120
14. 55426 17.3% 10.9% (+6.44)#192 16.9% (+0.427)#11,331
15. 55432 17.0% 10.9% (+6.07)#198 16.9% (+0.051)#11,536
16. 55420 16.5% 10.9% (+5.65)#206 16.9% (-0.366)#11,821
17. 55427 15.3% 10.9% (+4.45)#231 16.9% (-1.57)#12,584
18. 55421 14.3% 10.9% (+3.42)#247 16.9% (-2.60)#13,220
19. 55433 13.4% 10.9% (+2.50)#266 16.9% (-3.52)#13,843
20. 55429 10.9% 10.9% (+0.030)#331 16.9% (-5.99)#15,609
21. 55418 10.7% 10.9% (-0.156)#340 16.9% (-6.17)#15,735
22. 55430 10.6% 10.9% (-0.290)#346 16.9% (-6.31)#15,839
23. 55406 10.0% 10.9% (-0.910)#367 16.9% (-6.93)#16,334
24. 55448 9.3% 10.9% (-1.54)#385 16.9% (-7.55)#16,863
25. 55434 8.8% 10.9% (-2.05)#406 16.9% (-8.07)#17,327
26. 55417 7.6% 10.9% (-3.30)#438 16.9% (-9.32)#18,441
27. 55416 7.5% 10.9% (-3.42)#441 16.9% (-9.44)#18,539
28. 55445 7.0% 10.9% (-3.86)#462 16.9% (-9.88)#18,908
29. 55423 6.9% 10.9% (-3.98)#465 16.9% (-10.00)#18,997
30. 55422 6.4% 10.9% (-4.48)#485 16.9% (-10.5)#19,447
31. 55436 6.2% 10.9% (-4.64)#490 16.9% (-10.7)#19,605
32. 55444 6.2% 10.9% (-4.67)#492 16.9% (-10.7)#19,629
33. 55419 5.3% 10.9% (-5.55)#522 16.9% (-11.6)#20,408
34. 55409 4.4% 10.9% (-6.46)#555 16.9% (-12.5)#21,242
35. 55441 3.2% 10.9% (-7.65)#606 16.9% (-13.7)#22,309
36. 55431 3.1% 10.9% (-7.82)#613 16.9% (-13.8)#22,455
37. 55449 2.5% 10.9% (-8.36)#635 16.9% (-14.4)#22,897
38. 55438 2.3% 10.9% (-8.63)#644 16.9% (-14.6)#23,141
39. 55437 2.0% 10.9% (-8.90)#658 16.9% (-14.9)#23,381
40. 55442 1.3% 10.9% (-9.56)#686 16.9% (-15.6)#23,887
41. 55447 1.0% 10.9% (-9.88)#701 16.9% (-15.9)#24,103
42. 55410 0.96% 10.9% (-9.93)#705 16.9% (-15.9)#24,136
43. 55439 0.81% 10.9% (-10.1)#712 16.9% (-16.1)#24,231
44. 55446 0.47% 10.9% (-10.4)#720 16.9% (-16.4)#24,379
45. 55424 0.41% 10.9% (-10.5)#722 16.9% (-16.5)#24,404

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN?
Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN are:
#1
53.8%
#2
39.8%
#3
33.1%
#4
30.2%
#5
27.7%
#6
24.2%
#7
23.8%
#8
22.4%
#9
21.8%
#10
19.9%
What zip code has the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN?
55454 has the Highest Child Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN with 53.8%.
What is the Poverty Level Among Boys Under the Age of 16 in Minneapolis, MN?
Poverty Level Among Boys Under the Age of 16 in Minneapolis is 19.5%.
What is the Poverty Level Among Boys Under the Age of 16 in Minnesota?
Poverty Level Among Boys Under the Age of 16 in Minnesota is 10.9%.
What is the Poverty Level Among Boys Under the Age of 16 in the United States?
Poverty Level Among Boys Under the Age of 16 in the United States is 16.9%.