Zip Codes with the Highest Unemployment Rate Among Females in Baltimore, MD

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Highest Unemployment | 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
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School Enrollment
Education by Degree Field
Occupancy
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Baltimore
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Unemployment Rate Among Females in Baltimore

0.0%
15.0%
Zip Codes with the Highest Unemployment Rate Among Females in Baltimore Map

Zip Codes with the Highest Unemployment Rate Among Females in Baltimore, MD

Zip Code Female Unemployment vs State vs National
1.2121712.3%4.8%(+7.50)#294.9%(+7.40)#2,238
2.2121611.0%4.8%(+6.20)#384.9%(+6.10)#2,760
3.2122310.1%4.8%(+5.30)#474.9%(+5.20)#3,227
4.212158.0%4.8%(+3.20)#614.9%(+3.10)#4,861
5.212187.4%4.8%(+2.60)#694.9%(+2.50)#5,565
6.212396.3%4.8%(+1.50)#1004.9%(+1.40)#7,309
7.212025.9%4.8%(+1.10)#1144.9%(+1.00)#8,154
8.212015.8%4.8%(+1.000)#1194.9%(+0.900)#8,381
9.212125.6%4.8%(+0.800)#1254.9%(+0.700)#8,790
10.212295.0%4.8%(+0.200)#1504.9%(+0.100)#10,218
11.212064.9%4.8%(+0.100)#1524.9%(=0.000)#10,468
12.212134.7%4.8%(-0.100)#1644.9%(-0.200)#11,057
13.212104.7%4.8%(-0.100)#1664.9%(-0.200)#11,113
14.212314.7%4.8%(-0.100)#1674.9%(-0.200)#11,116
15.212054.4%4.8%(-0.400)#1744.9%(-0.500)#11,927
16.212144.3%4.8%(-0.500)#1774.9%(-0.600)#12,187
17.212113.8%4.8%(-1.00)#2064.9%(-1.10)#13,707
18.212243.6%4.8%(-1.20)#2164.9%(-1.30)#14,253
19.212303.4%4.8%(-1.40)#2274.9%(-1.50)#14,908
20.212091.2%4.8%(-3.60)#3314.9%(-3.70)#21,673
21.212500.30%4.8%(-4.50)#3474.9%(-4.60)#23,522

Common Questions

What are the Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Baltimore, MD?
Top 10 Zip Codes with the Highest Unemployment Rate Among Females in Baltimore, MD are:
#1
12.3%
#2
11.0%
#3
10.1%
#4
8.0%
#5
7.4%
#6
6.3%
#7
5.9%
#8
5.8%
#9
5.6%
#10
5.0%
What zip code has the Highest Unemployment Rate Among Females in Baltimore, MD?
21217 has the Highest Unemployment Rate Among Females in Baltimore, MD with 12.3%.
What is the Unemployment Rate Among Females in Baltimore, MD?
Unemployment Rate Among Females in Baltimore is 6.1%.
What is the Unemployment Rate Among Females in Maryland?
Unemployment Rate Among Females in Maryland is 4.8%.
What is the Unemployment Rate Among Females in the United States?
Unemployment Rate Among Females in the United States is 4.9%.