Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD

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Highest Poverty | Child 0-5
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 Poverty Level Among Children Under the Age of 5 in Baltimore

0.0%
60.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in Baltimore Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD

Zip Code Child Poverty vs State vs National
1.2121757.2%12.3%(+45.0)#1018.1%(+39.2)#1,879
2.2121357.1%12.3%(+44.8)#1118.1%(+39.0)#1,901
3.2120547.7%12.3%(+35.4)#1618.1%(+29.6)#2,845
4.2120140.5%12.3%(+28.3)#2118.1%(+22.5)#3,923
5.2121840.2%12.3%(+28.0)#2218.1%(+22.2)#3,973
6.2123133.9%12.3%(+21.6)#2618.1%(+15.8)#5,325
7.2122332.9%12.3%(+20.6)#2818.1%(+14.8)#5,629
8.2122924.8%12.3%(+12.5)#5018.1%(+6.71)#8,094
9.2121624.0%12.3%(+11.7)#5218.1%(+5.90)#8,362
10.2120220.7%12.3%(+8.40)#6718.1%(+2.60)#9,737
11.2121520.2%12.3%(+7.93)#7018.1%(+2.13)#9,947
12.2122416.5%12.3%(+4.25)#8518.1%(-1.56)#11,639
13.2123915.1%12.3%(+2.84)#9618.1%(-2.97)#12,400
14.2120613.0%12.3%(+0.781)#10918.1%(-5.03)#13,611
15.2123010.6%12.3%(-1.65)#13418.1%(-7.45)#15,046
16.2121410.2%12.3%(-2.04)#13918.1%(-7.85)#15,281
17.212124.3%12.3%(-7.91)#20618.1%(-13.7)#19,215
18.212103.9%12.3%(-8.32)#21118.1%(-14.1)#19,549
19.212093.1%12.3%(-9.12)#22318.1%(-14.9)#20,070

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD are:
#1
57.2%
#2
57.1%
#3
47.7%
#4
40.5%
#5
40.2%
#6
33.9%
#7
32.9%
#8
24.8%
#9
24.0%
#10
20.7%
What zip code has the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD?
21217 has the Highest Poverty Level Among Children Under the Age of 5 in Baltimore, MD with 57.2%.
What is the Poverty Level Among Children Under the Age of 5 in Baltimore, MD?
Poverty Level Among Children Under the Age of 5 in Baltimore is 24.6%.
What is the Poverty Level Among Children Under the Age of 5 in Maryland?
Poverty Level Among Children Under the Age of 5 in Maryland is 12.3%.
What is the Poverty Level Among Children Under the Age of 5 in the United States?
Poverty Level Among Children Under the Age of 5 in the United States is 18.1%.