Zip Codes with the Lowest Female Poverty Level in Baltimore, MD

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Lowest Poverty | Female
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 Female Poverty Level in Baltimore

36.0%
7.7%
Zip Codes with the Lowest Female Poverty Level in Baltimore Map

Zip Codes with the Lowest Female Poverty Level in Baltimore, MD

Zip Code Female Poverty vs State vs National
1. 21209 7.7% 10.2% (-2.50)#189 13.7% (-5.97)#8,279
2. 21210 7.8% 10.2% (-2.44)#191 13.7% (-5.91)#8,375
3. 21214 8.6% 10.2% (-1.59)#216 13.7% (-5.06)#9,728
4. 21212 9.7% 10.2% (-0.508)#249 13.7% (-3.98)#11,492
5. 21211 11.3% 10.2% (+1.11)#280 13.7% (-2.36)#13,883
6. 21239 13.0% 10.2% (+2.75)#306 13.7% (-0.719)#16,130
7. 21206 13.2% 10.2% (+2.95)#308 13.7% (-0.523)#16,391
8. 21230 15.4% 10.2% (+5.22)#325 13.7% (+1.75)#19,134
9. 21224 17.4% 10.2% (+7.20)#340 13.7% (+3.72)#21,142
10. 21229 18.4% 10.2% (+8.14)#347 13.7% (+4.67)#21,956
11. 21216 19.2% 10.2% (+8.95)#350 13.7% (+5.48)#22,634
12. 21215 20.8% 10.2% (+10.5)#363 13.7% (+7.06)#23,753
13. 21231 23.0% 10.2% (+12.8)#373 13.7% (+9.29)#25,071
14. 21202 24.1% 10.2% (+13.8)#376 13.7% (+10.4)#25,615
15. 21218 24.1% 10.2% (+13.9)#377 13.7% (+10.4)#25,622
16. 21213 26.6% 10.2% (+16.4)#382 13.7% (+12.9)#26,669
17. 21217 31.0% 10.2% (+20.8)#390 13.7% (+17.3)#27,917
18. 21201 35.4% 10.2% (+25.2)#395 13.7% (+21.7)#28,743
19. 21205 35.8% 10.2% (+25.6)#396 13.7% (+22.1)#28,803
20. 21223 36.0% 10.2% (+25.7)#397 13.7% (+22.3)#28,817

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in Baltimore, MD?
Top 10 Zip Codes with the Lowest Female Poverty Level in Baltimore, MD are:
#1
7.7%
#2
7.8%
#3
8.6%
#4
9.7%
#5
11.3%
#6
13.0%
#7
13.2%
#8
15.4%
#9
17.4%
#10
18.4%
What zip code has the Lowest Female Poverty Level in Baltimore, MD?
21209 has the Lowest Female Poverty Level in Baltimore, MD with 7.7%.
What is the Poverty Level Among Females in Baltimore, MD?
Poverty Level Among Females in Baltimore is 20.5%.
What is the Poverty Level Among Females in Maryland?
Poverty Level Among Females in Maryland is 10.2%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.