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

0.0%
60.0%
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
1.2121854.1%15.9%(+38.2)#1621.6%(+32.5)#2,163
2.2121147.8%15.9%(+31.9)#2121.6%(+26.2)#2,828
3.2120144.2%15.9%(+28.2)#2221.6%(+22.6)#3,289
4.2121742.9%15.9%(+27.0)#2521.6%(+21.3)#3,456
5.2120241.6%15.9%(+25.6)#2821.6%(+20.0)#3,687
6.2122341.4%15.9%(+25.5)#2921.6%(+19.8)#3,707
7.2123033.0%15.9%(+17.1)#4421.6%(+11.4)#5,477
8.2121032.3%15.9%(+16.4)#4721.6%(+10.7)#5,641
9.2123129.8%15.9%(+13.9)#5221.6%(+8.24)#6,308
10.2122428.6%15.9%(+12.6)#5521.6%(+6.96)#6,754
11.2120527.2%15.9%(+11.3)#6021.6%(+5.59)#7,205
12.2123923.4%15.9%(+7.50)#6821.6%(+1.82)#8,615
13.2121223.1%15.9%(+7.20)#6921.6%(+1.53)#8,728
14.2120923.1%15.9%(+7.16)#7021.6%(+1.48)#8,740
15.2121520.4%15.9%(+4.48)#7921.6%(-1.20)#9,984
16.2121315.8%15.9%(-0.088)#10721.6%(-5.77)#12,425
17.2120613.2%15.9%(-2.69)#12821.6%(-8.37)#13,942
18.212169.5%15.9%(-6.45)#16721.6%(-12.1)#16,269
19.212298.5%15.9%(-7.43)#18121.6%(-13.1)#16,914
20.212141.5%15.9%(-14.5)#25421.6%(-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%.