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

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Lowest 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 Lowest Poverty Level Among Children Under the Age of 5 in Baltimore

57.2%
3.1%
Zip Codes with the Lowest Poverty Level Among Children Under the Age of 5 in Baltimore Map

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

Zip Code Child Poverty vs State vs National
1. 21209 3.1% 12.3% (-9.12)#31 18.1% (-14.9)#1,602
2. 21210 3.9% 12.3% (-8.32)#43 18.1% (-14.1)#2,122
3. 21212 4.3% 12.3% (-7.91)#48 18.1% (-13.7)#2,438
4. 21214 10.2% 12.3% (-2.04)#115 18.1% (-7.85)#6,390
5. 21230 10.6% 12.3% (-1.65)#120 18.1% (-7.45)#6,626
6. 21206 13.0% 12.3% (+0.781)#145 18.1% (-5.03)#8,061
7. 21239 15.1% 12.3% (+2.84)#158 18.1% (-2.97)#9,272
8. 21224 16.5% 12.3% (+4.25)#169 18.1% (-1.56)#10,030
9. 21215 20.2% 12.3% (+7.93)#184 18.1% (+2.13)#11,725
10. 21202 20.7% 12.3% (+8.40)#187 18.1% (+2.60)#11,935
11. 21216 24.0% 12.3% (+11.7)#202 18.1% (+5.90)#13,310
12. 21229 24.8% 12.3% (+12.5)#204 18.1% (+6.71)#13,578
13. 21223 32.9% 12.3% (+20.6)#226 18.1% (+14.8)#16,043
14. 21231 33.9% 12.3% (+21.6)#228 18.1% (+15.8)#16,347
15. 21218 40.2% 12.3% (+28.0)#232 18.1% (+22.2)#17,699
16. 21201 40.5% 12.3% (+28.3)#233 18.1% (+22.5)#17,749
17. 21205 47.7% 12.3% (+35.4)#238 18.1% (+29.6)#18,827
18. 21213 57.1% 12.3% (+44.8)#243 18.1% (+39.0)#19,771
19. 21217 57.2% 12.3% (+45.0)#244 18.1% (+39.2)#19,793

Common Questions

What are the Top 10 Zip Codes with the Lowest Poverty Level Among Children Under the Age of 5 in Baltimore, MD?
Top 10 Zip Codes with the Lowest Poverty Level Among Children Under the Age of 5 in Baltimore, MD are:
#1
0.0%
#2
3.1%
#3
3.9%
#4
4.3%
#5
10.2%
#6
10.6%
#7
13.0%
#8
15.1%
#9
16.5%
#10
20.2%
What zip code has the Lowest Poverty Level Among Children Under the Age of 5 in Baltimore, MD?
21209 has the Lowest Poverty Level Among Children Under the Age of 5 in Baltimore, MD with 3.1%.
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%.