Zip Codes with the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD

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Lowest Poverty | Child 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 Lowest Poverty Level Among Children Under the Age of 16 in Baltimore

49.8%
2.8%
Zip Codes with the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore Map

Zip Codes with the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD

Zip Code Child Poverty vs State vs National
1. 21211 2.8% 12.0% (-9.14)#52 16.9% (-14.1)#1,947
2. 21210 3.4% 12.0% (-8.53)#62 16.9% (-13.5)#2,530
3. 21209 3.6% 12.0% (-8.38)#65 16.9% (-13.4)#2,696
4. 21214 6.4% 12.0% (-5.55)#110 16.9% (-10.5)#5,439
5. 21212 7.8% 12.0% (-4.13)#136 16.9% (-9.10)#6,804
6. 21239 12.3% 12.0% (+0.315)#191 16.9% (-4.66)#10,669
7. 21206 16.0% 12.0% (+4.03)#228 16.9% (-0.944)#13,381
8. 21215 20.4% 12.0% (+8.42)#255 16.9% (+3.45)#16,155
9. 21230 21.2% 12.0% (+9.27)#260 16.9% (+4.29)#16,643
10. 21216 22.6% 12.0% (+10.6)#269 16.9% (+5.66)#17,381
11. 21224 25.8% 12.0% (+13.9)#276 16.9% (+8.88)#18,836
12. 21229 27.6% 12.0% (+15.7)#282 16.9% (+10.7)#19,613
13. 21218 30.9% 12.0% (+19.0)#290 16.9% (+14.0)#20,733
14. 21202 36.5% 12.0% (+24.5)#298 16.9% (+19.6)#22,205
15. 21213 37.5% 12.0% (+25.5)#301 16.9% (+20.5)#22,410
16. 21231 37.5% 12.0% (+25.5)#302 16.9% (+20.5)#22,411
17. 21223 41.8% 12.0% (+29.8)#305 16.9% (+24.8)#23,182
18. 21205 46.3% 12.0% (+34.4)#308 16.9% (+29.4)#23,826
19. 21217 46.9% 12.0% (+34.9)#309 16.9% (+30.0)#23,892
20. 21201 49.8% 12.0% (+37.8)#311 16.9% (+32.9)#24,187

Common Questions

What are the Top 10 Zip Codes with the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD?
Top 10 Zip Codes with the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD are:
#1
2.8%
#2
3.4%
#3
3.6%
#4
6.4%
#5
7.8%
#6
12.3%
#7
16.0%
#8
20.4%
#9
21.2%
#10
22.6%
What zip code has the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD?
21211 has the Lowest Poverty Level Among Children Under the Age of 16 in Baltimore, MD with 2.8%.
What is the Poverty Level Among Children Under the Age of 16 in Baltimore, MD?
Poverty Level Among Children Under the Age of 16 in Baltimore is 26.0%.
What is the Poverty Level Among Children Under the Age of 16 in Maryland?
Poverty Level Among Children Under the Age of 16 in Maryland is 12.0%.
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%.