Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD

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Highest Poverty | Female 25-34
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 25 and 34 in Baltimore

0.0%
40.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD

Zip Code Female Poverty vs State vs National
1.2120535.7%10.8%(+24.9)#1814.5%(+21.2)#3,435
2.2122334.4%10.8%(+23.6)#1914.5%(+19.9)#3,672
3.2121327.5%10.8%(+16.7)#3014.5%(+13.0)#5,511
4.2120125.6%10.8%(+14.8)#3414.5%(+11.1)#6,147
5.2121625.5%10.8%(+14.6)#3614.5%(+11.0)#6,202
6.2122925.3%10.8%(+14.5)#3814.5%(+10.8)#6,254
7.2121724.7%10.8%(+13.9)#4014.5%(+10.3)#6,517
8.2121818.1%10.8%(+7.32)#7514.5%(+3.65)#9,900
9.2121518.1%10.8%(+7.30)#7614.5%(+3.63)#9,913
10.2121416.3%10.8%(+5.46)#8814.5%(+1.79)#11,128
11.2123115.6%10.8%(+4.77)#9714.5%(+1.10)#11,583
12.2123914.5%10.8%(+3.69)#10814.5%(+0.019)#12,328
13.2120213.7%10.8%(+2.88)#11114.5%(-0.791)#12,934
14.2122411.0%10.8%(+0.150)#14014.5%(-3.52)#15,153
15.212129.8%10.8%(-1.06)#15714.5%(-4.73)#16,213
16.212069.5%10.8%(-1.32)#16614.5%(-4.99)#16,472
17.212308.4%10.8%(-2.44)#18214.5%(-6.11)#17,479
18.212107.7%10.8%(-3.09)#19114.5%(-6.76)#18,077
19.212097.3%10.8%(-3.50)#20014.5%(-7.17)#18,487
20.212116.0%10.8%(-4.81)#22214.5%(-8.48)#19,662

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD are:
#1
35.7%
#2
34.4%
#3
27.5%
#4
25.6%
#5
25.5%
#6
25.3%
#7
24.7%
#8
18.1%
#9
18.1%
#10
16.3%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD?
21205 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD with 35.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Baltimore, MD?
Poverty Level Among Females Between Ages 25 and 34 in Baltimore is 17.4%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Maryland?
Poverty Level Among Females Between Ages 25 and 34 in Maryland is 10.8%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.