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

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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 NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest 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
Baltimore
Compare Zip Codes
Comparison Subject

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

1.8%
50.4%
Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Baltimore Map

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

Zip Code Child Poverty (Boys) vs State vs National
1. 21217 50.4% 11.8% (+38.7)#8 16.9% (+33.5)#1,948
2. 21201 48.9% 11.8% (+37.1)#9 16.9% (+32.0)#2,130
3. 21202 46.3% 11.8% (+34.5)#10 16.9% (+29.4)#2,403
4. 21223 43.4% 11.8% (+31.6)#11 16.9% (+26.4)#2,797
5. 21205 40.2% 11.8% (+28.5)#14 16.9% (+23.3)#3,308
6. 21231 38.7% 11.8% (+27.0)#17 16.9% (+21.8)#3,589
7. 21213 38.7% 11.8% (+26.9)#18 16.9% (+21.8)#3,603
8. 21218 32.3% 11.8% (+20.6)#26 16.9% (+15.4)#5,048
9. 21229 28.5% 11.8% (+16.7)#34 16.9% (+11.6)#6,247
10. 21216 25.6% 11.8% (+13.9)#44 16.9% (+8.72)#7,300
11. 21224 25.0% 11.8% (+13.2)#46 16.9% (+8.05)#7,592
12. 21215 20.2% 11.8% (+8.44)#66 16.9% (+3.29)#9,801
13. 21230 19.8% 11.8% (+8.01)#69 16.9% (+2.86)#10,028
14. 21206 16.6% 11.8% (+4.85)#86 16.9% (-0.299)#11,794
15. 21239 10.9% 11.8% (-0.840)#142 16.9% (-5.99)#15,617
16. 21212 7.0% 11.8% (-4.74)#194 16.9% (-9.90)#18,917
17. 21214 4.7% 11.8% (-7.02)#228 16.9% (-12.2)#20,988
18. 21209 4.4% 11.8% (-7.38)#234 16.9% (-12.5)#21,303
19. 21211 2.9% 11.8% (-8.87)#255 16.9% (-14.0)#22,616
20. 21210 1.8% 11.8% (-9.91)#273 16.9% (-15.1)#23,491

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Baltimore, MD?
Top 10 Zip Codes with the Highest Child Poverty Level Among Boys Under the Age of 16 in Baltimore, MD are:
#1
50.4%
#2
48.9%
#3
46.3%
#4
43.4%
#5
40.2%
#6
38.7%
#7
38.7%
#8
32.3%
#9
28.5%
#10
25.6%
What zip code has the Highest Child Poverty Level Among Boys Under the Age of 16 in Baltimore, MD?
21217 has the Highest Child Poverty Level Among Boys Under the Age of 16 in Baltimore, MD with 50.4%.
What is the Poverty Level Among Boys Under the Age of 16 in Baltimore, MD?
Poverty Level Among Boys Under the Age of 16 in Baltimore is 26.8%.
What is the Poverty Level Among Boys Under the Age of 16 in Maryland?
Poverty Level Among Boys Under the Age of 16 in Maryland is 11.8%.
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%.