Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD

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Highest Poverty | Female 18-24
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 Females Between Ages 18 and 24 in Baltimore

1.5%
54.1%
Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD

Zip Code Female Poverty vs State vs National
1. 21218 54.1% 15.9% (+38.2)#16 21.6% (+32.5)#2,163
2. 21211 47.8% 15.9% (+31.9)#21 21.6% (+26.2)#2,828
3. 21201 44.2% 15.9% (+28.2)#22 21.6% (+22.6)#3,289
4. 21217 42.9% 15.9% (+27.0)#25 21.6% (+21.3)#3,456
5. 21202 41.6% 15.9% (+25.6)#28 21.6% (+20.0)#3,687
6. 21223 41.4% 15.9% (+25.5)#29 21.6% (+19.8)#3,707
7. 21230 33.0% 15.9% (+17.1)#44 21.6% (+11.4)#5,477
8. 21210 32.3% 15.9% (+16.4)#47 21.6% (+10.7)#5,641
9. 21231 29.8% 15.9% (+13.9)#52 21.6% (+8.24)#6,308
10. 21224 28.6% 15.9% (+12.6)#55 21.6% (+6.96)#6,754
11. 21205 27.2% 15.9% (+11.3)#60 21.6% (+5.59)#7,205
12. 21239 23.4% 15.9% (+7.50)#68 21.6% (+1.82)#8,615
13. 21212 23.1% 15.9% (+7.20)#69 21.6% (+1.53)#8,728
14. 21209 23.1% 15.9% (+7.16)#70 21.6% (+1.48)#8,740
15. 21215 20.4% 15.9% (+4.48)#79 21.6% (-1.20)#9,984
16. 21213 15.8% 15.9% (-0.088)#107 21.6% (-5.77)#12,425
17. 21206 13.2% 15.9% (-2.69)#128 21.6% (-8.37)#13,942
18. 21216 9.5% 15.9% (-6.45)#167 21.6% (-12.1)#16,269
19. 21229 8.5% 15.9% (-7.43)#181 21.6% (-13.1)#16,914
20. 21214 1.5% 15.9% (-14.5)#254 21.6% (-20.1)#20,718

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD are:
#1
54.1%
#2
47.8%
#3
44.2%
#4
42.9%
#5
41.6%
#6
41.4%
#7
33.0%
#8
32.3%
#9
29.8%
#10
28.6%
What zip code has the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD?
21218 has the Highest Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD with 54.1%.
What is the Poverty Level Among Females Between Ages 18 and 24 in Baltimore, MD?
Poverty Level Among Females Between Ages 18 and 24 in Baltimore is 27.1%.
What is the Poverty Level Among Females Between Ages 18 and 24 in Maryland?
Poverty Level Among Females Between Ages 18 and 24 in Maryland is 15.9%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the United States?
Poverty Level Among Females Between Ages 18 and 24 in the United States is 21.6%.